From 53b0923e4bd94968c97a42c4ecf384e7af71425c Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 28 Mar 2024 19:32:01 -0700
Subject: [PATCH 01/47] Update Poetry and aiohttp versions

The commit primarily updates the Poetry dependency management version from 1.5.
---
 poetry.lock | 2009 ++++++++++++++++++++++-----------------------------
 1 file changed, 863 insertions(+), 1146 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1e6e2ea..97aa9de 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,127 +1,100 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
-
-[[package]]
-name = "aiohappyeyeballs"
-version = "2.4.3"
-description = "Happy Eyeballs for asyncio"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
-    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
-]
+# This file is automatically @generated by Poetry 1.8.0 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -139,15 +112,18 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.7.0"
+version = "0.6.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "3.7.1"
@@ -182,52 +158,52 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -469,13 +425,13 @@ toml = ["tomli"]
 
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 [[package]]
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 [package.extras]
@@ -731,13 +671,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.6"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -748,17 +688,17 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<1.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.27.0"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-zstd = ["zstandard (>=0.18.0)"]
 
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 name = "idna"
-version = "3.10"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.6"
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-
 [[package]]
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 version = "5.13.0"
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-
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-
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-
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-
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -933,13 +770,13 @@ jsonpointer = ">=1.9"
 
 [[package]]
 name = "jsonpointer"
-version = "3.0.0"
+version = "2.4"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
 files = [
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 [[package]]
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 requests = ">=2,<3"
 
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-
 [[package]]
 name = "marshmallow"
-version = "3.22.0"
+version = "3.21.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1082,113 +850,108 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
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 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "multidict"
-version = "6.1.0"
+version = "6.0.5"
 description = "multidict implementation"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
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 [[package]]
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 [package.extras]
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 [[package]]
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+    {file = "pysigma_backend_carbonblack-0.1.4.tar.gz", hash = "sha256:2b9db6b87bd2f338686b355801279a50aaeacca1bb0e03fd80e9197f3bddffb1"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.6"
+pysigma = ">=0.9.6,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-cortexxdr"
-version = "0.1.4"
+version = "0.1.1"
 description = "pySigma CortexXDR backend"
 optional = false
-python-versions = "<4.0,>=3.8"
-files = [
-    {file = "pysigma_backend_cortexxdr-0.1.4-py3-none-any.whl", hash = "sha256:9f7573b4220c34d1a6e5b8b2a776687f63750cf02fdfb4f37bb1cb291193e5e2"},
-    {file = "pysigma_backend_cortexxdr-0.1.4.tar.gz", hash = "sha256:ee484adb7ba8808b0c551593968ebc18b427ef7522656d49bc468665bbad070e"},
-]
-
-[package.dependencies]
-pysigma = ">=0.11.3"
-
-[[package]]
-name = "pysigma-backend-crowdstrike"
-version = "2.0.0"
-description = "pySigma CrowdStrike Logscale backend and processing pipelines for the Falcon data model."
-optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_crowdstrike-2.0.0-py3-none-any.whl", hash = "sha256:89a8506363d34f1d547d678b710bafd0b8c5a1d0f8b30cc171846e16ded99ec0"},
-    {file = "pysigma_backend_crowdstrike-2.0.0.tar.gz", hash = "sha256:d7e25f78c34be313192c89a76376dfbaf327ee88fe3ca3bfb65095c478dea8e7"},
+    {file = "pysigma_backend_cortexxdr-0.1.1-py3-none-any.whl", hash = "sha256:1665abc1f60472956d972a791f4931fb356cbcf8014ffb1f5684d765e8a6f850"},
+    {file = "pysigma_backend_cortexxdr-0.1.1.tar.gz", hash = "sha256:827c9e0f4a61d5c9526aa0f576754de87b58787cc6c1665129aadeffebc017fd"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.3,<0.12.0"
+pysigma = ">=0.9.8,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
-version = "1.1.2"
-description = "pySigma Elasticsearch backend supporting Lucene, ES|QL (with correlations) and EQL queries"
+version = "1.0.5"
+description = "pySigma Elasticsearch backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_elasticsearch-1.1.2-py3-none-any.whl", hash = "sha256:10843c651ef38cf4f4593ac795859696dbee790868fa28c344398b780bb36785"},
-    {file = "pysigma_backend_elasticsearch-1.1.2.tar.gz", hash = "sha256:b9c69e768ee9335c533407a5fbc4f37e09b1181ceafe470effdbd504aa0c3ecb"},
+    {file = "pysigma_backend_elasticsearch-1.0.5-py3-none-any.whl", hash = "sha256:e6dff7cdad47a848c1f95d42609334b7b6dec2fbc7f4b263576055ecdf0c2ae6"},
+    {file = "pysigma_backend_elasticsearch-1.0.5.tar.gz", hash = "sha256:0985cc3435716ed96355ab66850818a9e29fc8de935be882c630b72caedc0f87"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.3,<0.12.0"
+pysigma = ">=0.9.5,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-insightidr"
-version = "0.2.4"
+version = "0.2.1"
 description = "pySigma Rapid7 InsightIDR backend"
 optional = false
-python-versions = "<4.0,>=3.8"
-files = [
-    {file = "pysigma_backend_insightidr-0.2.4-py3-none-any.whl", hash = "sha256:2341165e08373437f02e37521b5ce2a4cd1a07747d6cb27f759c6493ff56c8b4"},
-    {file = "pysigma_backend_insightidr-0.2.4.tar.gz", hash = "sha256:7ac24cbff4e9ffbdb94ac5d94ddc69fee8d2e3eb8e0d5db7b6509f16f346750a"},
-]
-
-[package.dependencies]
-pysigma = ">=0.10.1,<0.12.0"
-
-[[package]]
-name = "pysigma-backend-kusto"
-version = "0.4.0"
-description = "pySigma Kusto backend"
-optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_kusto-0.4.0-py3-none-any.whl", hash = "sha256:83a0166e2ee7c0794739c6b4f058ad7dc614cee13d88e02b61309cc906c36409"},
-    {file = "pysigma_backend_kusto-0.4.0.tar.gz", hash = "sha256:a686d1468fe82ab7ffa5c535f138b774e3f5a43f8ad344953fd31aafc83086e0"},
+    {file = "pysigma-backend-insightidr-0.2.1.tar.gz", hash = "sha256:9259e77cd49ae96dd87ad52c36c23138251e591911ac67da0c913564da749534"},
+    {file = "pysigma_backend_insightidr-0.2.1-py3-none-any.whl", hash = "sha256:944400b405d714e3cf4141a7a4c055c7d92ada5a7517336be607cafec401deb3"},
 ]
 
 [package.dependencies]
-certifi = ">=2023.07.22"
-pysigma = ">=0.10.0"
+pysigma = ">=0.9.11,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-loki"
-version = "0.12.2"
+version = "0.9.1"
 description = "pySigma Loki backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
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-    {file = "pysigma_backend_loki-0.12.2.tar.gz", hash = "sha256:bc8e3756175524b7ac0ce9c4046117c7b99ef99df4da3f3301c44fe1cd78ff69"},
+    {file = "pysigma_backend_loki-0.9.1-py3-none-any.whl", hash = "sha256:136ec58f0e509ea5fb9d2863bb5c92a8b5b93b8d14a6b0e6bfd5802eb442beb2"},
+    {file = "pysigma_backend_loki-0.9.1.tar.gz", hash = "sha256:daf00fbce4c17c9ced1ebc477dfcafd5189a364cc471312120b9b7d6465ab237"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.14,<0.12.0"
+pysigma = ">=0.9.11,<0.10.0"
+pysigma-pipeline-sysmon = ">=1.0.1,<2.0.0"
 
 [[package]]
-name = "pysigma-backend-netwitness"
-version = "0.1.3"
-description = "pySigma NetWitness backend"
+name = "pysigma-backend-microsoft365defender"
+version = "0.2.1"
+description = "pySigma Microsoft 365 Defender backend"
 optional = false
-python-versions = "<4.0,>=3.9"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_netwitness-0.1.3-py3-none-any.whl", hash = "sha256:0c817b1a65b244c00ad607a97430473e99266135928757bd336ecfe9e9bbe822"},
-    {file = "pysigma_backend_netwitness-0.1.3.tar.gz", hash = "sha256:aa00ccb7f2da947f27bb45e11f6e2f04615a7b6336f77fdfdb36a4c4427eeacb"},
+    {file = "pysigma_backend_microsoft365defender-0.2.1-py3-none-any.whl", hash = "sha256:c95cc09ff7fb89349840afa6926e43b817e4d858e6e40a1fec1a0d7a4202107d"},
+    {file = "pysigma_backend_microsoft365defender-0.2.1.tar.gz", hash = "sha256:9ccf41b2e368ad2779e803dce3b174cfcc4308502c1929e267c6c7b21645ee29"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.9,<0.12.0"
+certifi = ">=2023.07.22,<2024.0.0"
+pysigma = ">=0.9.0,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-opensearch"
-version = "1.0.2"
+version = "1.0.0"
 description = "pySigma OpenSearch backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_opensearch-1.0.2-py3-none-any.whl", hash = "sha256:a97abf627fdc3a4eec391ba98241b1d035ebfde9f2df88667b70e01fc7bf9687"},
-    {file = "pysigma_backend_opensearch-1.0.2.tar.gz", hash = "sha256:131a9389626b4ac1ddd2f892c8fa93b4b9235afac439e39eafea88222928e6f5"},
+    {file = "pysigma_backend_opensearch-1.0.0-py3-none-any.whl", hash = "sha256:9f9afebbb0f1d020199685c151aca90797c80454614cd803d22917c8096c15ae"},
+    {file = "pysigma_backend_opensearch-1.0.0.tar.gz", hash = "sha256:7d961ad6bbf1bf7ac8cdb0f6140a453a45bf270a1bba837d904756e9cd53f8f3"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.10.2,<0.12.0"
-pysigma-backend-elasticsearch = ">=1.0.6,<2.0.0"
+pysigma = ">=0.9.5,<0.10.0"
+pysigma-backend-elasticsearch = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "pysigma-backend-qradar-aql"
-version = "0.3.2"
+version = "0.2.3"
 description = "pySigma QRadarAQL backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_qradar_aql-0.3.2-py3-none-any.whl", hash = "sha256:9b383b72ed427f88b84ff121bfba9855eb94cea184a372e52106ea81183983d0"},
-    {file = "pysigma_backend_qradar_aql-0.3.2.tar.gz", hash = "sha256:fc59760ea16c49783e1997820f1039e2732ebd63c578c181f3e5ffdebd0250c8"},
+    {file = "pysigma_backend_qradar_aql-0.2.3-py3-none-any.whl", hash = "sha256:c57bf03f3cca6ef1a3b57d099cd06ec96ebd4144d515a0c6d36359fb3dc6134b"},
+    {file = "pysigma_backend_qradar_aql-0.2.3.tar.gz", hash = "sha256:f46e31cdb2b98b7f9e445511da7a0bc843f8ff4e2865c91401a4fc053af97246"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8,<0.12.0"
-regex = ">=2023.12.25,<2024.0.0"
+pysigma = ">=0.9.8,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-sentinelone"
-version = "0.1.3"
+version = "0.1.2"
 description = "pySigma SentinelOne backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_sentinelone-0.1.3-py3-none-any.whl", hash = "sha256:308556bdc0af5e74868f93d64784db2b0e29f8c75c98b4b348be751351cfc35f"},
-    {file = "pysigma_backend_sentinelone-0.1.3.tar.gz", hash = "sha256:06f72af3eba3bede57f795f98cf35be9efd498553535feb7f2ec0de061d40dda"},
+    {file = "pysigma_backend_sentinelone-0.1.2-py3-none-any.whl", hash = "sha256:6fd866819d4b816e5a4fc633c51e1f06ad8cec563852d6f5b104f58e9fb1d800"},
+    {file = "pysigma_backend_sentinelone-0.1.2.tar.gz", hash = "sha256:e2c58d73d6f23d8ddb5e31861cd249b038a0990738e9d945ffb1551a330092ac"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.5"
+pysigma = ">=0.9.5,<0.10.0"
 
 [[package]]
 name = "pysigma-backend-splunk"
-version = "1.1.0"
+version = "1.0.2"
 description = "pySigma Splunk backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_splunk-1.1.0-py3-none-any.whl", hash = "sha256:c681bae6480496604af1f230c2fd0d697cf187482730c5a07789d9141f81faa2"},
-    {file = "pysigma_backend_splunk-1.1.0.tar.gz", hash = "sha256:82c979e2e1e153d69c186cdc7457987132b721ffd8e60a8696a5c84905b64f0d"},
+    {file = "pysigma_backend_splunk-1.0.2-py3-none-any.whl", hash = "sha256:5004da3ca9b455f66ec52c00a51b37d2bebf61013229cc0ce67e8e36f18a8375"},
+    {file = "pysigma_backend_splunk-1.0.2.tar.gz", hash = "sha256:b02262274ef94922a0033e5526873061f7a6f6281bd1bb6e83df0a9c10c32866"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.1,<0.12.0"
+pysigma = ">=0.9.0,<0.10.0"
 
 [[package]]
-name = "pysigma-backend-stix2"
-version = "0.2.0"
-description = "STIX language backend for pySigma convertor. Forked from https://github.com/barvhaim/pySigma-backend-stix and updated to support latest pySigma versions."
+name = "pysigma-backend-stix"
+version = "0.1.8"
+description = "STIX language backend for pySigma convertor"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_stix2-0.2.0-py3-none-any.whl", hash = "sha256:c19e1e49438aec2dde8af2fbcecfdca1d034deeca1162da9334458acc48bb4e7"},
-    {file = "pysigma_backend_stix2-0.2.0.tar.gz", hash = "sha256:c7178d19be1bdabb9bf9b9120f511d413bf532c577e310400e4a3649bce86527"},
+    {file = "pysigma_backend_stix-0.1.8-py3-none-any.whl", hash = "sha256:6d7ea2f72ad315bd28a2c6013393df450714096008bf1953b6a577ff7dcd2db9"},
+    {file = "pysigma_backend_stix-0.1.8.tar.gz", hash = "sha256:7f6533ca51fedf876034badb2c2556cd1aeb4ce227dbffc487460c50d779fa8a"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.5,<0.12.0"
+pysigma = ">=0.9.5,<0.10.0"
+
+[[package]]
+name = "pysigma-pipeline-crowdstrike"
+version = "1.0.0"
+description = "pySigma CrowdStrike processing pipelines"
+optional = false
+python-versions = ">=3.8,<4.0"
+files = [
+    {file = "pysigma_pipeline_crowdstrike-1.0.0-py3-none-any.whl", hash = "sha256:7bbb8b3b3dc776dc95f71b0d4136e6624398348df959cc50fe26d6e24ad3dd68"},
+    {file = "pysigma_pipeline_crowdstrike-1.0.0.tar.gz", hash = "sha256:7bea9cd891ee1f75ccf19dab2662e68a48ecc590a68ca797d7853e59f0944295"},
+]
+
+[package.dependencies]
+pysigma = ">=0.9.2,<0.10.0"
 
 [[package]]
 name = "pysigma-pipeline-sysmon"
-version = "1.0.4"
+version = "1.0.2"
 description = "pySigma Sysmon processing pipelines"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_pipeline_sysmon-1.0.4-py3-none-any.whl", hash = "sha256:fc0b688e779220a9aeb3ceb7cfc368feb9a2df3b082d8365442732795c714d17"},
-    {file = "pysigma_pipeline_sysmon-1.0.4.tar.gz", hash = "sha256:c56e5ed0840b132d468f6c1634d43a5bbfb3cabf974814ce8abd4386fbf75867"},
+    {file = "pysigma_pipeline_sysmon-1.0.2-py3-none-any.whl", hash = "sha256:8c2d3be5a097c5ec4f852a09ad7c2f890fb1ddea204df906b2c5bea0eeb0901f"},
+    {file = "pysigma_pipeline_sysmon-1.0.2.tar.gz", hash = "sha256:fad4f91eff5c8099a766dad7f449861844d4ad3c4e1d5e341fbfdc56b55f738b"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11,<0.12"
+pysigma = ">=0.9.0,<0.10.0"
 
 [[package]]
 name = "pysigma-pipeline-windows"
-version = "1.2.0"
+version = "1.1.0"
 description = "pySigma Windows processing pipelines"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_pipeline_windows-1.2.0-py3-none-any.whl", hash = "sha256:05c446a2cfd67a60ea283dd238195c833542819b4610721799ade56fd23d9274"},
-    {file = "pysigma_pipeline_windows-1.2.0.tar.gz", hash = "sha256:f2b6750c7662f2ea791c8ac7fc4f9c74f498c659c63108e61aec0df966c1ccfb"},
+    {file = "pysigma_pipeline_windows-1.1.0-py3-none-any.whl", hash = "sha256:7598bf8df5f37306d32145faf062acd1aa5d805ba6f33a23c91855c6071dd471"},
+    {file = "pysigma_pipeline_windows-1.1.0.tar.gz", hash = "sha256:60dc6794fb3ef7d885d7d65db64305def73d4dcbeea9f3a2e71f728927af0847"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11,<0.12"
+pysigma = ">=0.9.1,<0.10.0"
 
 [[package]]
 name = "pytest"
-version = "8.3.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
-    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
+    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
+    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
 ]
 
 [package.dependencies]
@@ -1704,21 +1431,21 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
-version = "5.0.0"
+version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
-    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
+    {file = "pytest-cov-4.1.0.tar.gz", hash = "sha256:3904b13dfbfec47f003b8e77fd5b589cd11904a21ddf1ab38a64f204d6a10ef6"},
+    {file = "pytest_cov-4.1.0-py3-none-any.whl", hash = "sha256:6ba70b9e97e69fcc3fb45bfeab2d0a138fb65c4d0d6a41ef33983ad114be8c3a"},
 ]
 
 [package.dependencies]
@@ -1726,68 +1453,66 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
 
 [[package]]
 name = "pyyaml"
-version = "6.0.2"
+version = "6.0.1"
 description = "YAML parser and emitter for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6"
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 [[package]]
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 description = "Python HTTP for Humans."
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 python-versions = ">=3.7"
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 [[package]]
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 [[package]]
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+version = "2.0.29"
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 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -2040,18 +1764,17 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
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 description = "Retry code until it succeeds"
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-test = ["pytest", "tornado (>=4.5)", "typeguard"]
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 [[package]]
 name = "tiktoken"
@@ -2107,24 +1830,24 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 [package.extras]
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+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2286,24 +2007,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.18.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9, <=3.12"
-content-hash = "79c3565fe53477c423b3b9705aac330378e5756219474c3f2319485828f1018a"
+python-versions = ">=3.8.1, <=3.11.6"
+content-hash = "35e04d333141a53f88cb0b6c16852762a44d4ed0cb515399546753ec714c3251"

From 0f548fe348352fb9cd481cf76632558f4b8ac03a Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 15:41:02 -0700
Subject: [PATCH 02/47] Update aiohttp from version 3.9.3 to 3.9.4

This update includes upgrading the aiohttp package from version 3.9.3 to 3.9.4. All associated hashes for different systems and platforms have been changed accordingly.
---
 poetry.lock | 342 ++++++++++++++++++++++++++--------------------------
 1 file changed, 171 insertions(+), 171 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 97aa9de..433cdc2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,87 +2,87 @@
 
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.9.4"
 description = "Async http client/server framework (asyncio)"
 optional = false
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 [package.dependencies]
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 [[package]]
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 description = "Internationalized Domain Names in Applications (IDNA)"
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 [[package]]
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 [[package]]
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 ]
 
 [package.dependencies]
@@ -1861,13 +1861,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
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+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]

From 758231f44c08fd5ef930b7c555c88825470056f3 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 15:57:17 -0700
Subject: [PATCH 03/47] Update version constraints in dependencies

In the pyproject.toml file, the version constraints for several dependencies including 'pysigma', 'pytest', 'pytest-cov', 'black', 'ruff' and 'langchain' were updated to any version ("*"). In the poetry.lock file, specific versions for 'black' and 'langchain' were updated accordingly. The optional setting for the 'llm' group was changed to false.
---
 poetry.lock    | 218 ++++++++++++++++++++++++++-----------------------
 pyproject.toml |  99 +++++++---------------
 2 files changed, 146 insertions(+), 171 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 433cdc2..b97c4fd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -177,33 +177,33 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "black"
-version = "23.12.1"
+version = "24.4.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -781,13 +781,13 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.0.335"
+version = "0.0.347"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
@@ -796,6 +796,7 @@ anyio = "<4.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
 jsonpatch = ">=1.33,<2.0"
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 langsmith = ">=0.0.63,<0.1.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
@@ -805,20 +806,37 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
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 qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
 text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
+[[package]]
+name = "langchain-core"
+version = "0.0.11"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+    {file = "langchain_core-0.0.11.tar.gz", hash = "sha256:0c81adee6b3ef00f1677d01c22afb876b011fc6ebca7770cae05647b26e94875"},
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+[package.dependencies]
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+langsmith = ">=0.0.63,<0.1.0"
+pydantic = ">=1,<3"
+tenacity = ">=8.1.0,<9.0.0"
+
 [[package]]
 name = "langsmith"
 version = "0.0.92"
@@ -1417,13 +1435,13 @@ pysigma = ">=0.9.1,<0.10.0"
 
 [[package]]
 name = "pytest"
-version = "7.4.4"
+version = "8.1.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1431,21 +1449,21 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+pluggy = ">=1.4,<2.0"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
-version = "4.1.0"
+version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1453,7 +1471,7 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pyyaml"
@@ -1640,28 +1658,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.0.286"
-description = "An extremely fast Python linter, written in Rust."
+version = "0.3.7"
+description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [[package]]
@@ -1778,47 +1796,47 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "tiktoken"
-version = "0.5.2"
+version = "0.6.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911"},
+    {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7"},
+    {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47"},
+    {file = "tiktoken-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d"},
+    {file = "tiktoken-0.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3"},
+    {file = "tiktoken-0.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177"},
+    {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8"},
+    {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91"},
+    {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1"},
+    {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc"},
+    {file = "tiktoken-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3"},
+    {file = "tiktoken-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68"},
+    {file = "tiktoken-0.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a"},
+    {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad"},
+    {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839"},
+    {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae"},
+    {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3"},
+    {file = "tiktoken-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9"},
+    {file = "tiktoken-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4"},
+    {file = "tiktoken-0.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"},
+    {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138"},
+    {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744"},
+    {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159"},
+    {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a"},
+    {file = "tiktoken-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1"},
+    {file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"},
 ]
 
 [package.dependencies]
@@ -2023,4 +2041,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "35e04d333141a53f88cb0b6c16852762a44d4ed0cb515399546753ec714c3251"
+content-hash = "033871302f09de7f8b90a44e27c0a8cae81753bb9737a06381526a8386a8a3f8"
diff --git a/pyproject.toml b/pyproject.toml
index fbf393b..505e85e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "SigmAIQ"
-version = "0.3.1"
+version = "0.3.0"
 description = "Wrapper and tools for pySigma and Sigma rules"
 authors = ["Stephen Lincoln <stephen.lincoln@attackiq.com>", "AttackIQ <support@attackiq.com>"]
 readme = "README.md"
@@ -20,43 +20,39 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.9, <=3.12"
-pysigma = "0.11.14"
+python = ">=3.8.1, <=3.11.6"
+pysigma = "*"
 certifi = "^2023.07.22"
-pysigma-backend-carbonblack = "0.1.8"
-pysigma-backend-cortexxdr = "0.1.4"
-pysigma-backend-crowdstrike = "2.0.0"
-pysigma-backend-elasticsearch = "1.1.2"
-pysigma-backend-insightidr = "0.2.4"
-pysigma-backend-kusto = "0.4.0"
-pysigma-backend-loki = "0.12.2"  
-pysigma-backend-netwitness = "0.1.3"
-pysigma-backend-opensearch = "1.0.2"
-pysigma-backend-qradar-aql = "0.3.2"
-pysigma-backend-sentinelone = "0.1.3"
-pysigma-backend-splunk = "1.1.0"
-pysigma-backend-stix2 = "0.2.0"
-pysigma-pipeline-sysmon = "1.0.4"
-pysigma-pipeline-windows = "1.2.0"
+pysigma-backend-carbonblack = "0.1.4"
+pysigma-backend-cortexxdr = "0.1.1"
+pysigma-backend-elasticsearch = "1.0.5"
+pysigma-backend-insightidr = "0.2.1"
+pysigma-backend-loki = "0.9.1"
+pysigma-backend-microsoft365defender = "0.2.1"
+pysigma-backend-opensearch = "1.0.0"
+pysigma-backend-qradar-aql = "0.2.3"
+pysigma-backend-sentinelone = "0.1.2"
+pysigma-backend-splunk = "1.0.2"
+pysigma-backend-stix = "0.1.8"
+pysigma-pipeline-crowdstrike = "1.0.0"
+pysigma-pipeline-sysmon = "1.0.2"
+pysigma-pipeline-windows = "1.1.0"
 importlib-resources = "^5.13.0"
 
+[tool.poetry.dev-dependencies]
+pytest = "*"
+pytest-cov = "*"
+black = "*"
+ruff = "*"
+
 [tool.poetry.group.llm]
-optional = true
+optional = false
 
 [tool.poetry.group.llm.dependencies]
-langchain = "^0.0.335"
-openai = "^1.2.4"
-tiktoken = "^0.5.1"
-faiss-cpu = "^1.7.4"
-
-[tool.poetry.group.dev]
-optional = true
-
-[tool.poetry.group.dev.dependencies]
-pytest = "^8.3.3"
-pytest-cov = "^5.0.0"
-black = "^24.8.0"
-ruff = "^0.6.8"
+langchain = "*"
+openai = "*"
+tiktoken = "*"
+faiss-cpu = "*"
 
 [build-system]
 requires = ["poetry-core"]
@@ -64,45 +60,6 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.black]
 line-length = 120
-target-version = ['py311']
-
-[tool.ruff]
-# Exclude a variety of commonly ignored directories.
-exclude = [
-    ".bzr",
-    ".direnv",
-    ".eggs",
-    ".git",
-    ".git-rewrite",
-    ".hg",
-    ".ipynb_checkpoints",
-    ".mypy_cache",
-    ".nox",
-    ".pants.d",
-    ".pyenv",
-    ".pytest_cache",
-    ".pytype",
-    ".ruff_cache",
-    ".svn",
-    ".tox",
-    ".venv",
-    ".vscode",
-    "__pypackages__",
-    "_build",
-    "buck-out",
-    "build",
-    "dist",
-    "node_modules",
-    "site-packages",
-    "venv",
-    ".venv"
-]
-
-# Same as Black.
-line-length = 120
-
-# Assume Python 3.11
-target-version = "py311"
 
 [tool.coverage.run]
 omit = [

From 0c8460c642ca4171e4a3634b36aa43c33a82ebbb Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 16:11:44 -0700
Subject: [PATCH 04/47] Update project dependencies

Dependencies versions in pyproject.toml and poetry.lock files have been updated to the latest versions. This ensures that the project is using the newest and most secure versions of its dependencies. In addition, all specific versions in poetry dependencies have been changed to "*".
---
 poetry.lock    | 60 +++++++++++++++++++++++++-------------------------
 pyproject.toml | 33 ++++++++++++++-------------
 2 files changed, 46 insertions(+), 47 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index b97c4fd..7fd483c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -223,13 +223,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -727,21 +727,21 @@ files = [
 
 [[package]]
 name = "importlib-resources"
-version = "5.13.0"
+version = "6.4.0"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-5.13.0-py3-none-any.whl", hash = "sha256:9f7bd0c97b79972a6cce36a366356d16d5e13b09679c11a58f1014bfdf8e64b2"},
-    {file = "importlib_resources-5.13.0.tar.gz", hash = "sha256:82d5c6cca930697dbbd86c93333bb2c2e72861d4789a11c2662b933e5ad2b528"},
+    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -1236,31 +1236,31 @@ requests = ">=2.28.1,<3.0.0"
 
 [[package]]
 name = "pysigma-backend-carbonblack"
-version = "0.1.4"
+version = "0.1.6"
 description = "pySigma carbonblack backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_carbonblack-0.1.4-py3-none-any.whl", hash = "sha256:58e3c4735da7a6db70e8cbca020fa96fbaaf4b03ecfe23aea16357a2ebda6dae"},
-    {file = "pysigma_backend_carbonblack-0.1.4.tar.gz", hash = "sha256:2b9db6b87bd2f338686b355801279a50aaeacca1bb0e03fd80e9197f3bddffb1"},
+    {file = "pysigma_backend_carbonblack-0.1.6-py3-none-any.whl", hash = "sha256:8e6a5beec59c71db93abdf126eb42c2bc3f2833a71f2ef9ba9698732274cee4e"},
+    {file = "pysigma_backend_carbonblack-0.1.6.tar.gz", hash = "sha256:c1ccb5ea5d046fa39bef76e2f7d95283aef4f65340de2e6e0b23f54a0ea9fc11"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.6,<0.10.0"
+pysigma = ">=0.9.6"
 
 [[package]]
 name = "pysigma-backend-cortexxdr"
-version = "0.1.1"
+version = "0.1.2"
 description = "pySigma CortexXDR backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_cortexxdr-0.1.1-py3-none-any.whl", hash = "sha256:1665abc1f60472956d972a791f4931fb356cbcf8014ffb1f5684d765e8a6f850"},
-    {file = "pysigma_backend_cortexxdr-0.1.1.tar.gz", hash = "sha256:827c9e0f4a61d5c9526aa0f576754de87b58787cc6c1665129aadeffebc017fd"},
+    {file = "pysigma_backend_cortexxdr-0.1.2-py3-none-any.whl", hash = "sha256:f853c1ee145b5da6a73386d872aa3804fbdeadc19b18558c54c2b75aa6f8a800"},
+    {file = "pysigma_backend_cortexxdr-0.1.2.tar.gz", hash = "sha256:bd7ff50499d80fad4b42026f1d05411b7066e9140d367a1d76aa60d7a6f1ebd7"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8,<0.10.0"
+pysigma = ">=0.9.8"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
@@ -1307,17 +1307,16 @@ pysigma-pipeline-sysmon = ">=1.0.1,<2.0.0"
 
 [[package]]
 name = "pysigma-backend-microsoft365defender"
-version = "0.2.1"
+version = "0.2.0"
 description = "pySigma Microsoft 365 Defender backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_microsoft365defender-0.2.1-py3-none-any.whl", hash = "sha256:c95cc09ff7fb89349840afa6926e43b817e4d858e6e40a1fec1a0d7a4202107d"},
-    {file = "pysigma_backend_microsoft365defender-0.2.1.tar.gz", hash = "sha256:9ccf41b2e368ad2779e803dce3b174cfcc4308502c1929e267c6c7b21645ee29"},
+    {file = "pysigma_backend_microsoft365defender-0.2.0-py3-none-any.whl", hash = "sha256:f88cdb032064374907db9edc2a2baae24a21cc5272af0b0f654ed939720bcafc"},
+    {file = "pysigma_backend_microsoft365defender-0.2.0.tar.gz", hash = "sha256:e6be66622dcebf83010d7817b810ddef2a0c5303b26fd11c73d116dcab714098"},
 ]
 
 [package.dependencies]
-certifi = ">=2023.07.22,<2024.0.0"
 pysigma = ">=0.9.0,<0.10.0"
 
 [[package]]
@@ -1337,31 +1336,32 @@ pysigma-backend-elasticsearch = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "pysigma-backend-qradar-aql"
-version = "0.2.3"
+version = "0.3.1"
 description = "pySigma QRadarAQL backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "pysigma_backend_qradar_aql-0.2.3-py3-none-any.whl", hash = "sha256:c57bf03f3cca6ef1a3b57d099cd06ec96ebd4144d515a0c6d36359fb3dc6134b"},
-    {file = "pysigma_backend_qradar_aql-0.2.3.tar.gz", hash = "sha256:f46e31cdb2b98b7f9e445511da7a0bc843f8ff4e2865c91401a4fc053af97246"},
+    {file = "pysigma_backend_qradar_aql-0.3.1-py3-none-any.whl", hash = "sha256:6a8f597543b761b8edc9be021b71c288eecb40cbde61bf1ef7a7ed3fee4f8aa1"},
+    {file = "pysigma_backend_qradar_aql-0.3.1.tar.gz", hash = "sha256:6338ed06a989670fdbdbe42414957159cefc46586939ee56914f073b4f61b9b3"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8,<0.10.0"
+pysigma = ">=0.9.8,<0.12.0"
+regex = ">=2023.12.25,<2024.0.0"
 
 [[package]]
 name = "pysigma-backend-sentinelone"
-version = "0.1.2"
+version = "0.1.3"
 description = "pySigma SentinelOne backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_sentinelone-0.1.2-py3-none-any.whl", hash = "sha256:6fd866819d4b816e5a4fc633c51e1f06ad8cec563852d6f5b104f58e9fb1d800"},
-    {file = "pysigma_backend_sentinelone-0.1.2.tar.gz", hash = "sha256:e2c58d73d6f23d8ddb5e31861cd249b038a0990738e9d945ffb1551a330092ac"},
+    {file = "pysigma_backend_sentinelone-0.1.3-py3-none-any.whl", hash = "sha256:308556bdc0af5e74868f93d64784db2b0e29f8c75c98b4b348be751351cfc35f"},
+    {file = "pysigma_backend_sentinelone-0.1.3.tar.gz", hash = "sha256:06f72af3eba3bede57f795f98cf35be9efd498553535feb7f2ec0de061d40dda"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.5,<0.10.0"
+pysigma = ">=0.9.5"
 
 [[package]]
 name = "pysigma-backend-splunk"
@@ -2041,4 +2041,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "033871302f09de7f8b90a44e27c0a8cae81753bb9737a06381526a8386a8a3f8"
+content-hash = "a15393840146a4c6ea8208294aff26ddf95c7f0a94790c7d41967055df9cff77"
diff --git a/pyproject.toml b/pyproject.toml
index 505e85e..9606b48 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,23 +21,22 @@ packages = [
 
 [tool.poetry.dependencies]
 python = ">=3.8.1, <=3.11.6"
-pysigma = "*"
-certifi = "^2023.07.22"
-pysigma-backend-carbonblack = "0.1.4"
-pysigma-backend-cortexxdr = "0.1.1"
-pysigma-backend-elasticsearch = "1.0.5"
-pysigma-backend-insightidr = "0.2.1"
-pysigma-backend-loki = "0.9.1"
-pysigma-backend-microsoft365defender = "0.2.1"
-pysigma-backend-opensearch = "1.0.0"
-pysigma-backend-qradar-aql = "0.2.3"
-pysigma-backend-sentinelone = "0.1.2"
-pysigma-backend-splunk = "1.0.2"
-pysigma-backend-stix = "0.1.8"
-pysigma-pipeline-crowdstrike = "1.0.0"
-pysigma-pipeline-sysmon = "1.0.2"
-pysigma-pipeline-windows = "1.1.0"
-importlib-resources = "^5.13.0"
+certifi = "*"
+pysigma-backend-carbonblack = "*"
+pysigma-backend-cortexxdr = "*"
+pysigma-backend-elasticsearch = "*"
+pysigma-backend-insightidr = "*"
+pysigma-backend-loki = "*"
+pysigma-backend-microsoft365defender = "*"
+pysigma-backend-opensearch = "*"
+pysigma-backend-qradar-aql = "*"
+pysigma-backend-sentinelone = "*"
+pysigma-backend-splunk = "*"
+pysigma-backend-stix = "*"
+pysigma-pipeline-crowdstrike = "*"
+pysigma-pipeline-sysmon = "*"
+pysigma-pipeline-windows = "*"
+importlib-resources = "*"
 
 [tool.poetry.dev-dependencies]
 pytest = "*"

From 7f59f7c639df677057ba53ac6f4413ed94545fc9 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 19:42:06 -0700
Subject: [PATCH 05/47] Update pyproject.toml and poetry.lock dependencies

Moved 'langchain', 'openai', 'tiktoken', and 'faiss-cpu' from a specific group to the general dependencies in the pyproject.toml file. This change also resulted in an update to the content-hash in the poetry.lock file.
---
 poetry.lock    |  2 +-
 pyproject.toml | 13 ++++---------
 2 files changed, 5 insertions(+), 10 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 7fd483c..1e07cc8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2041,4 +2041,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "a15393840146a4c6ea8208294aff26ddf95c7f0a94790c7d41967055df9cff77"
+content-hash = "1059fda7530bc22150dfe21777e73aba9a5b5fd571fe29556fdc530254be87f7"
diff --git a/pyproject.toml b/pyproject.toml
index 9606b48..af114d7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,6 +37,10 @@ pysigma-pipeline-crowdstrike = "*"
 pysigma-pipeline-sysmon = "*"
 pysigma-pipeline-windows = "*"
 importlib-resources = "*"
+langchain = "*"
+openai = "*"
+tiktoken = "*"
+faiss-cpu = "*"
 
 [tool.poetry.dev-dependencies]
 pytest = "*"
@@ -44,15 +48,6 @@ pytest-cov = "*"
 black = "*"
 ruff = "*"
 
-[tool.poetry.group.llm]
-optional = false
-
-[tool.poetry.group.llm.dependencies]
-langchain = "*"
-openai = "*"
-tiktoken = "*"
-faiss-cpu = "*"
-
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

From df79220b6b0e025972c1004202f296b4fa4cb2ad Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 20:45:53 -0700
Subject: [PATCH 06/47] Update dependencies in pyproject.toml

This commit sets specific versions for the project dependencies in the pyproject.toml file. Instead of using wildcard "*", specific version numbers are used following caret "^" versioning. This allows for better control over dependency versions, ensuring compatibility and avoiding potential conflict with other packages.
---
 poetry.lock    |  2 +-
 pyproject.toml | 30 +++++++++++++++---------------
 2 files changed, 16 insertions(+), 16 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1e07cc8..673b873 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2041,4 +2041,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "1059fda7530bc22150dfe21777e73aba9a5b5fd571fe29556fdc530254be87f7"
+content-hash = "a1c0fa8ce262c074f58db1a1dbd0e2cdbb40dfc8a188dd898ff15a81770bbbec"
diff --git a/pyproject.toml b/pyproject.toml
index af114d7..6455e51 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,22 +22,22 @@ packages = [
 [tool.poetry.dependencies]
 python = ">=3.8.1, <=3.11.6"
 certifi = "*"
-pysigma-backend-carbonblack = "*"
-pysigma-backend-cortexxdr = "*"
-pysigma-backend-elasticsearch = "*"
-pysigma-backend-insightidr = "*"
-pysigma-backend-loki = "*"
-pysigma-backend-microsoft365defender = "*"
-pysigma-backend-opensearch = "*"
-pysigma-backend-qradar-aql = "*"
-pysigma-backend-sentinelone = "*"
-pysigma-backend-splunk = "*"
-pysigma-backend-stix = "*"
-pysigma-pipeline-crowdstrike = "*"
-pysigma-pipeline-sysmon = "*"
-pysigma-pipeline-windows = "*"
+pysigma-backend-carbonblack = "^0.1.6"
+pysigma-backend-cortexxdr = "^0.1.2"
+pysigma-backend-elasticsearch = "^01.0.5"
+pysigma-backend-insightidr = "^0.2.1"
+pysigma-backend-loki = "^0.9.1"
+pysigma-backend-microsoft365defender = "^0.2.0"
+pysigma-backend-opensearch = "^1.0.0"
+pysigma-backend-qradar-aql = "^0.3.1"
+pysigma-backend-sentinelone = "^0.1.3"
+pysigma-backend-splunk = "^1.0.2"
+pysigma-backend-stix = "^0.1.8"
+pysigma-pipeline-crowdstrike = "^1.0.0"
+pysigma-pipeline-sysmon = "^1.0.2"
+pysigma-pipeline-windows = "^1.1.0"
 importlib-resources = "*"
-langchain = "*"
+langchain = "^0.0.347"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"

From 11c65d39fae9afe9cad7f1b1b014970e9c7ad722 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 13 Apr 2024 21:11:08 -0700
Subject: [PATCH 07/47] Integrate specific embedding models in SigmaLLM

The commit introduces a mechanism to instantiate SigmaLLM with specific embedding models rather than using default initialization. This provides flexibility to use different OpenAIEmbeddings or other models without modifying the base class. A fallback to the original mechanism is still maintained to ensure backward compatibility. Further refactoring with regard to the redundancy between 'embedding_model' and 'embedding_function' has been noted for future consideration.
---
 examples/llm_basic_usage.py | 3 ++-
 sigmaiq/llm/base.py         | 8 ++++++--
 2 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/examples/llm_basic_usage.py b/examples/llm_basic_usage.py
index 23202dd..c5a673f 100644
--- a/examples/llm_basic_usage.py
+++ b/examples/llm_basic_usage.py
@@ -16,7 +16,8 @@
 from sigmaiq.llm.base import SigmaLLM
 
 # %% Create a SigmaLLM object with default settings. See the class docstring for more information
-sigma_llm = SigmaLLM()
+from langchain.embeddings import OpenAIEmbeddings
+sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
 
 # %% The `create_sigma_vectordb()` method will automatically do all the work for you :) (only run this once)
 sigma_llm.create_sigma_vectordb(save=True)  # Save locally to disk
diff --git a/sigmaiq/llm/base.py b/sigmaiq/llm/base.py
index 2e083f7..52b14ed 100644
--- a/sigmaiq/llm/base.py
+++ b/sigmaiq/llm/base.py
@@ -34,7 +34,8 @@ def __init__(
         self,
         rule_dir: str = None,
         vector_store_dir: str = None,
-        embedding_function: Type[Embeddings] = OpenAIEmbeddings,
+        embedding_model: OpenAIEmbeddings = None,
+        embedding_function: Type[Embeddings] = OpenAIEmbeddings, #TODO RS : Consolidate this with embedding_model
         vector_store: Type[VectorStore] = FAISS,
         rule_loader: Type[BaseLoader] = DirectoryLoader,
         rule_splitter: Type[BaseDocumentTransformer] = CharacterTextSplitter,
@@ -60,7 +61,10 @@ def __init__(
 
         # Setup rest of class
         self.vector_store_dir = self._setup_vector_store_dir(vector_store_dir)
-        self.embedding_function = embedding_function()
+        if embedding_model:
+            self.embedding_function = embedding_model
+        else:
+            self.embedding_function = embedding_function()
         self.vector_store = vector_store
         self.sigmadb = None
         self.rule_loader = rule_loader

From 48b3abbae2e966ed4ec5d07bc2a568675ba9f947 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 11 May 2024 20:06:00 -0700
Subject: [PATCH 08/47] After poetry update.

---
 poetry.lock | 680 ++++++++++++++++++++++++++--------------------------
 1 file changed, 341 insertions(+), 339 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 673b873..36789bf 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,87 +2,87 @@
 
 [[package]]
 name = "aiohttp"
-version = "3.9.4"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -425,13 +425,13 @@ toml = ["tomli"]
 
 [[package]]
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+version = "0.6.6"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
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 [package.dependencies]
@@ -451,13 +451,13 @@ files = [
 
 [[package]]
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 [package.extras]
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 [[package]]
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 python-versions = ">=3.8"
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 [package.extras]
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 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -1020,13 +1020,13 @@ files = [
 
 [[package]]
 name = "openai"
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+version = "1.28.1"
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 python-versions = ">=3.7.1"
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 [package.dependencies]
@@ -1065,28 +1065,29 @@ files = [
 
 [[package]]
 name = "platformdirs"
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-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
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 python-versions = ">=3.8"
 files = [
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 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "pluggy"
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 ]
 
 [package.dependencies]
@@ -1435,13 +1436,13 @@ pysigma = ">=0.9.1,<0.10.0"
 
 [[package]]
 name = "pytest"
-version = "8.1.1"
+version = "8.2.0"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1449,11 +1450,11 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=1.4,<2.0"
+pluggy = ">=1.5,<2.0"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-cov"
@@ -1658,28 +1659,28 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.3.7"
+version = "0.4.4"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "SQLAlchemy-2.0.30-py3-none-any.whl", hash = "sha256:7108d569d3990c71e26a42f60474b4c02c8586c4681af5fd67e51a044fdea86a"},
+    {file = "SQLAlchemy-2.0.30.tar.gz", hash = "sha256:2b1708916730f4830bc69d6f49d37f7698b5bd7530aca7f04f785f8849e95255"},
 ]
 
 [package.dependencies]
@@ -1782,17 +1783,18 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "tenacity"
-version = "8.2.3"
+version = "8.3.0"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
-    {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
+    {file = "tenacity-8.3.0-py3-none-any.whl", hash = "sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185"},
+    {file = "tenacity-8.3.0.tar.gz", hash = "sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2"},
 ]
 
 [package.extras]
-doc = ["reno", "sphinx", "tornado (>=4.5)"]
+doc = ["reno", "sphinx"]
+test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tiktoken"
@@ -1859,13 +1861,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
-    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]

From b756c82386536cd0966794a5698ddfef81786b9c Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 11 May 2024 22:15:12 -0700
Subject: [PATCH 09/47] Sync with Stephen's changes.

Update SigmAIQ version and improve dependencies

The SigmAIQ version was updated to 0.3.1. Also, dependency versions for several packages including certifi, langchain-core, and packaging were updated. Some of the backends and pipelines in `pySigma` were commented out while others were updated or added.
---
 poetry.lock    | 428 ++++++++++++++++++++++++++-----------------------
 pyproject.toml |  27 ++--
 2 files changed, 239 insertions(+), 216 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 36789bf..d076e69 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -223,13 +223,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
+    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
 ]
 
 [[package]]
@@ -754,6 +754,23 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "jinja2"
+version = "3.1.4"
+description = "A very fast and expressive template engine."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
+    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -822,21 +839,28 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-core"
-version = "0.0.11"
+version = "0.0.13"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain_core-0.0.11-py3-none-any.whl", hash = "sha256:7208bc195559336fae91dbd3d9b4b78e52d5cbc4166411f24b03845832d4c329"},
-    {file = "langchain_core-0.0.11.tar.gz", hash = "sha256:0c81adee6b3ef00f1677d01c22afb876b011fc6ebca7770cae05647b26e94875"},
+    {file = "langchain_core-0.0.13-py3-none-any.whl", hash = "sha256:36d33a3d280877fb29a1f0f292b9b02b9ba29bf43fb54090b7364f00d5925459"},
+    {file = "langchain_core-0.0.13.tar.gz", hash = "sha256:fcfc13d2c314c0441c8f1f8b79395316df5873c1c7a687c8c5c553b3824840b6"},
 ]
 
 [package.dependencies]
+anyio = ">=3,<5"
 jsonpatch = ">=1.33,<2.0"
 langsmith = ">=0.0.63,<0.1.0"
+packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
+PyYAML = ">=5.3"
+requests = ">=2,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
+[package.extras]
+extended-testing = ["jinja2 (>=3,<4)"]
+
 [[package]]
 name = "langsmith"
 version = "0.0.92"
@@ -852,6 +876,75 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
+[[package]]
+name = "markupsafe"
+version = "2.1.5"
+description = "Safely add untrusted strings to HTML/XML markup."
+optional = false
+python-versions = ">=3.7"
+files = [
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+
 [[package]]
 name = "marshmallow"
 version = "3.21.2"
@@ -1043,13 +1136,13 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "packaging"
-version = "22.0"
+version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "packaging-22.0-py3-none-any.whl", hash = "sha256:957e2148ba0e1a3b282772e791ef1d8083648bc131c8ab0c1feba110ce1146c3"},
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 ]
 
 [[package]]
@@ -1220,17 +1313,18 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pysigma"
-version = "0.9.11"
+version = "0.11.3"
 description = "Sigma rule processing and conversion tools"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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+    {file = "pysigma-0.11.3.tar.gz", hash = "sha256:ed68af1c4150fdd55d0bc1f228fb512088162530a0410f9239deca09ec06942b"},
 ]
 
 [package.dependencies]
-packaging = ">=22.0,<23.0"
+jinja2 = ">=3.1.3,<4.0.0"
+packaging = ">=22.0,<24.0"
 pyparsing = ">=3.0.7,<4.0.0"
 pyyaml = ">=6.0,<7.0"
 requests = ">=2.28.1,<3.0.0"
@@ -1251,104 +1345,60 @@ pysigma = ">=0.9.6"
 
 [[package]]
 name = "pysigma-backend-cortexxdr"
-version = "0.1.2"
+version = "0.1.3"
 description = "pySigma CortexXDR backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8"
+pysigma = ">=0.11.3"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
-version = "1.0.5"
-description = "pySigma Elasticsearch backend"
-optional = false
-python-versions = ">=3.8,<4.0"
-files = [
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-]
-
-[package.dependencies]
-pysigma = ">=0.9.5,<0.10.0"
-
-[[package]]
-name = "pysigma-backend-insightidr"
-version = "0.2.1"
-description = "pySigma Rapid7 InsightIDR backend"
+version = "1.1.0"
+description = "pySigma Elasticsearch backend supportinhg Lucene, ES|QL (with correlations) and EQL queries"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
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+    {file = "pysigma_backend_elasticsearch-1.1.0.tar.gz", hash = "sha256:af325b967e0df866f60ac14be4701b9bc7e3e5b5c97fa0b7e6c56d202479c301"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.11,<0.10.0"
+pysigma = ">=0.11.3,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-loki"
-version = "0.9.1"
+version = "0.11.0"
 description = "pySigma Loki backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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 ]
 
 [package.dependencies]
-pysigma = ">=0.9.11,<0.10.0"
-pysigma-pipeline-sysmon = ">=1.0.1,<2.0.0"
+pysigma = ">=0.11.3,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-microsoft365defender"
-version = "0.2.0"
+version = "0.2.4"
 description = "pySigma Microsoft 365 Defender backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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-]
-
-[package.dependencies]
-pysigma = ">=0.9.0,<0.10.0"
-
-[[package]]
-name = "pysigma-backend-opensearch"
-version = "1.0.0"
-description = "pySigma OpenSearch backend"
-optional = false
-python-versions = ">=3.8,<4.0"
-files = [
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-]
-
-[package.dependencies]
-pysigma = ">=0.9.5,<0.10.0"
-pysigma-backend-elasticsearch = ">=1.0.0,<2.0.0"
-
-[[package]]
-name = "pysigma-backend-qradar-aql"
-version = "0.3.1"
-description = "pySigma QRadarAQL backend"
-optional = false
-python-versions = "<4.0,>=3.8"
-files = [
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+    {file = "pysigma_backend_microsoft365defender-0.2.4-py3-none-any.whl", hash = "sha256:3b58e0f2f79a5c1c5bf0bfa094ac2437c91c0b3dc5a0cb55b9ac517f2700c528"},
+    {file = "pysigma_backend_microsoft365defender-0.2.4.tar.gz", hash = "sha256:d2e0a0e93f1fae8fd81e9d27d5bace9cbda40c942916a26aa0963bd24b9f7340"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8,<0.12.0"
-regex = ">=2023.12.25,<2024.0.0"
+certifi = ">=2023.07.22,<2024.0.0"
+pysigma = ">=0.9.0"
 
 [[package]]
 name = "pysigma-backend-sentinelone"
@@ -1366,73 +1416,59 @@ pysigma = ">=0.9.5"
 
 [[package]]
 name = "pysigma-backend-splunk"
-version = "1.0.2"
+version = "1.1.0"
 description = "pySigma Splunk backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_splunk-1.0.2-py3-none-any.whl", hash = "sha256:5004da3ca9b455f66ec52c00a51b37d2bebf61013229cc0ce67e8e36f18a8375"},
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-]
-
-[package.dependencies]
-pysigma = ">=0.9.0,<0.10.0"
-
-[[package]]
-name = "pysigma-backend-stix"
-version = "0.1.8"
-description = "STIX language backend for pySigma convertor"
-optional = false
-python-versions = ">=3.8,<4.0"
-files = [
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-    {file = "pysigma_backend_stix-0.1.8.tar.gz", hash = "sha256:7f6533ca51fedf876034badb2c2556cd1aeb4ce227dbffc487460c50d779fa8a"},
+    {file = "pysigma_backend_splunk-1.1.0-py3-none-any.whl", hash = "sha256:c681bae6480496604af1f230c2fd0d697cf187482730c5a07789d9141f81faa2"},
+    {file = "pysigma_backend_splunk-1.1.0.tar.gz", hash = "sha256:82c979e2e1e153d69c186cdc7457987132b721ffd8e60a8696a5c84905b64f0d"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.5,<0.10.0"
+pysigma = ">=0.11.1,<0.12.0"
 
 [[package]]
 name = "pysigma-pipeline-crowdstrike"
-version = "1.0.0"
+version = "1.0.3"
 description = "pySigma CrowdStrike processing pipelines"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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-    {file = "pysigma_pipeline_crowdstrike-1.0.0.tar.gz", hash = "sha256:7bea9cd891ee1f75ccf19dab2662e68a48ecc590a68ca797d7853e59f0944295"},
+    {file = "pysigma_pipeline_crowdstrike-1.0.3-py3-none-any.whl", hash = "sha256:2f4b60253e3e6b8baea69b86ea85923bfe5c550f27664c790b00d41865cc42af"},
+    {file = "pysigma_pipeline_crowdstrike-1.0.3.tar.gz", hash = "sha256:a50d4f17defc7346264f5091d439146d78d5da0ae4df1a858d0ce61f618419a6"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.9.2,<0.10.0"
+pysigma = ">=0.11.3,<0.12.0"
 
 [[package]]
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@@ -2043,4 +2065,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "a1c0fa8ce262c074f58db1a1dbd0e2cdbb40dfc8a188dd898ff15a81770bbbec"
+content-hash = "8b130ff7a5f21bff0b0d7cdfcbfb85544838b9c098cadfdbf3fe6bf27c3a3537"
diff --git a/pyproject.toml b/pyproject.toml
index 6455e51..47ad756 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "SigmAIQ"
-version = "0.3.0"
+version = "0.3.1"
 description = "Wrapper and tools for pySigma and Sigma rules"
 authors = ["Stephen Lincoln <stephen.lincoln@attackiq.com>", "AttackIQ <support@attackiq.com>"]
 readme = "README.md"
@@ -22,20 +22,21 @@ packages = [
 [tool.poetry.dependencies]
 python = ">=3.8.1, <=3.11.6"
 certifi = "*"
+pysigma = "0.11.3"
 pysigma-backend-carbonblack = "^0.1.6"
-pysigma-backend-cortexxdr = "^0.1.2"
-pysigma-backend-elasticsearch = "^01.0.5"
-pysigma-backend-insightidr = "^0.2.1"
-pysigma-backend-loki = "^0.9.1"
-pysigma-backend-microsoft365defender = "^0.2.0"
-pysigma-backend-opensearch = "^1.0.0"
-pysigma-backend-qradar-aql = "^0.3.1"
+pysigma-backend-cortexxdr = "^0.1.3"
+pysigma-backend-elasticsearch = "^01.0.12"
+#pysigma-backend-insightidr = "^0.2.2"
+pysigma-backend-loki = "^0.11.0"
+pysigma-backend-microsoft365defender = "^0.2.4"
+#pysigma-backend-opensearch = "^1.0.1"
+#pysigma-backend-qradar-aql = "^0.3.1"
 pysigma-backend-sentinelone = "^0.1.3"
-pysigma-backend-splunk = "^1.0.2"
-pysigma-backend-stix = "^0.1.8"
-pysigma-pipeline-crowdstrike = "^1.0.0"
-pysigma-pipeline-sysmon = "^1.0.2"
-pysigma-pipeline-windows = "^1.1.0"
+pysigma-backend-splunk = "^1.0.3"
+#pysigma-backend-stix = {git="https://github.com/slincoln-aiq/pySigma-backend-stix"}
+pysigma-pipeline-crowdstrike = "^1.0.3"
+pysigma-pipeline-sysmon = "^1.0.4"
+pysigma-pipeline-windows = "^1.2.0"
 importlib-resources = "*"
 langchain = "^0.0.347"
 openai = "*"

From ae74a6257ab95a3cd555fd36bfe13dce21311246 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 12 May 2024 10:47:27 -0700
Subject: [PATCH 10/47] Sync with Stephen's changes.

Fix factory to not use the commented out package.

Bring back Stephen's stix2.

Also other backends besides isightidr.

Update pysigma dependencies and disable InsightIDR Backend

The pysigma dependencies were updated to new versions and two new dependencies were added, pysigma-backend-opensearch and pysigma-backend-qradar-aql. Also, the usage of InsightIDR Backend as a dependency in pyproject.toml and sigmaiq_backend_factory.py was temporarily disabled as it's awaiting resolution.
---
 poetry.lock    | 250 ++++++++++++++++++++++++++++++-------------------
 pyproject.toml |   8 +-
 2 files changed, 160 insertions(+), 98 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d076e69..3f8fad6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1313,21 +1313,21 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pysigma"
-version = "0.11.3"
+version = "0.11.5"
 description = "Sigma rule processing and conversion tools"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "pysigma-0.11.3-py3-none-any.whl", hash = "sha256:612e9f4673faddb7790a2d8e60071ad494d15271c457a4feaf38d492fb9973cf"},
-    {file = "pysigma-0.11.3.tar.gz", hash = "sha256:ed68af1c4150fdd55d0bc1f228fb512088162530a0410f9239deca09ec06942b"},
+    {file = "pysigma-0.11.5-py3-none-any.whl", hash = "sha256:f9f63a4c575997c37c57e1980f8ed77f2682fe6eb0969de3b4ff7a0b26626619"},
+    {file = "pysigma-0.11.5.tar.gz", hash = "sha256:de27ef86db1b9341a8b540ca4691f489a9f5d63bc2de40bb3257221404d4f2d1"},
 ]
 
 [package.dependencies]
-jinja2 = ">=3.1.3,<4.0.0"
+jinja2 = ">=3.1,<4.0"
 packaging = ">=22.0,<24.0"
-pyparsing = ">=3.0.7,<4.0.0"
+pyparsing = ">=3.1,<4.0"
 pyyaml = ">=6.0,<7.0"
-requests = ">=2.28.1,<3.0.0"
+requests = ">=2.31,<3.0"
 
 [[package]]
 name = "pysigma-backend-carbonblack"
@@ -1373,17 +1373,17 @@ pysigma = ">=0.11.3,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-loki"
-version = "0.11.0"
+version = "0.11.2"
 description = "pySigma Loki backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "pysigma_backend_loki-0.11.0-py3-none-any.whl", hash = "sha256:9a36d09f83f08e8495f02891c608ff1118d294ef26d340d173a87820ee79bfb7"},
-    {file = "pysigma_backend_loki-0.11.0.tar.gz", hash = "sha256:d69ca4d9f6c2c0303f16d24b455eb56c07e5e55454bbe112fce4d42e7fdcdb0a"},
+    {file = "pysigma_backend_loki-0.11.2-py3-none-any.whl", hash = "sha256:e6c09ca288188363084baec3cc51db3c9af0986a75f9776019109b5419ac4d03"},
+    {file = "pysigma_backend_loki-0.11.2.tar.gz", hash = "sha256:216eafa0f6915505af3bbdb3a69ea164ba0d326a2fd10b35d939c418693978cf"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.3,<0.12.0"
+pysigma = ">=0.11.5,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-microsoft365defender"
@@ -1400,6 +1400,36 @@ files = [
 certifi = ">=2023.07.22,<2024.0.0"
 pysigma = ">=0.9.0"
 
+[[package]]
+name = "pysigma-backend-opensearch"
+version = "1.0.2"
+description = "pySigma OpenSearch backend"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "pysigma_backend_opensearch-1.0.2-py3-none-any.whl", hash = "sha256:a97abf627fdc3a4eec391ba98241b1d035ebfde9f2df88667b70e01fc7bf9687"},
+    {file = "pysigma_backend_opensearch-1.0.2.tar.gz", hash = "sha256:131a9389626b4ac1ddd2f892c8fa93b4b9235afac439e39eafea88222928e6f5"},
+]
+
+[package.dependencies]
+pysigma = ">=0.10.2,<0.12.0"
+pysigma-backend-elasticsearch = ">=1.0.6,<2.0.0"
+
+[[package]]
+name = "pysigma-backend-qradar-aql"
+version = "0.3.2"
+description = "pySigma QRadarAQL backend"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "pysigma_backend_qradar_aql-0.3.2-py3-none-any.whl", hash = "sha256:9b383b72ed427f88b84ff121bfba9855eb94cea184a372e52106ea81183983d0"},
+    {file = "pysigma_backend_qradar_aql-0.3.2.tar.gz", hash = "sha256:fc59760ea16c49783e1997820f1039e2732ebd63c578c181f3e5ffdebd0250c8"},
+]
+
+[package.dependencies]
+pysigma = ">=0.9.8,<0.12.0"
+regex = ">=2023.12.25,<2024.0.0"
+
 [[package]]
 name = "pysigma-backend-sentinelone"
 version = "0.1.3"
@@ -1428,6 +1458,24 @@ files = [
 [package.dependencies]
 pysigma = ">=0.11.1,<0.12.0"
 
+[[package]]
+name = "pysigma-backend-stix2"
+version = "0.2.0"
+description = "STIX language backend for pySigma convertor. Forked from https://github.com/barvhaim/pySigma-backend-stix and updated to support latest pySigma versions."
+optional = false
+python-versions = "^3.8"
+files = []
+develop = false
+
+[package.dependencies]
+pysigma = ">=0.9.5, <0.12.0"
+
+[package.source]
+type = "git"
+url = "https://github.com/slincoln-aiq/pySigma-backend-stix"
+reference = "HEAD"
+resolved_reference = "9d4a2294397682cc30946dcd9af40b04213dd7d1"
+
 [[package]]
 name = "pysigma-pipeline-crowdstrike"
 version = "1.0.3"
@@ -1572,90 +1620,104 @@ files = [
 
 [[package]]
 name = "regex"
-version = "2024.5.10"
+version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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+    {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e81469f7d01efed9b53740aedd26085f20d49da65f9c1f41e822a33992cb1590"},
+    {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:34e4af5b27232f68042aa40a91c3b9bb4da0eeb31b7632e0091afc4310afe6cb"},
+    {file = "regex-2023.12.25-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9852b76ab558e45b20bf1893b59af64a28bd3820b0c2efc80e0a70a4a3ea51c1"},
+    {file = "regex-2023.12.25-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff100b203092af77d1a5a7abe085b3506b7eaaf9abf65b73b7d6905b6cb76988"},
+    {file = "regex-2023.12.25-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cc038b2d8b1470364b1888a98fd22d616fba2b6309c5b5f181ad4483e0017861"},
+    {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:094ba386bb5c01e54e14434d4caabf6583334090865b23ef58e0424a6286d3dc"},
+    {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5cd05d0f57846d8ba4b71d9c00f6f37d6b97d5e5ef8b3c3840426a475c8f70f4"},
+    {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:9aa1a67bbf0f957bbe096375887b2505f5d8ae16bf04488e8b0f334c36e31360"},
+    {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:98a2636994f943b871786c9e82bfe7883ecdaba2ef5df54e1450fa9869d1f756"},
+    {file = "regex-2023.12.25-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:37f8e93a81fc5e5bd8db7e10e62dc64261bcd88f8d7e6640aaebe9bc180d9ce2"},
+    {file = "regex-2023.12.25-cp38-cp38-win32.whl", hash = "sha256:d78bd484930c1da2b9679290a41cdb25cc127d783768a0369d6b449e72f88beb"},
+    {file = "regex-2023.12.25-cp38-cp38-win_amd64.whl", hash = "sha256:b521dcecebc5b978b447f0f69b5b7f3840eac454862270406a39837ffae4e697"},
+    {file = "regex-2023.12.25-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:f7bc09bc9c29ebead055bcba136a67378f03d66bf359e87d0f7c759d6d4ffa31"},
+    {file = "regex-2023.12.25-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e14b73607d6231f3cc4622809c196b540a6a44e903bcfad940779c80dffa7be7"},
+    {file = "regex-2023.12.25-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9eda5f7a50141291beda3edd00abc2d4a5b16c29c92daf8d5bd76934150f3edc"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc6bb9aa69aacf0f6032c307da718f61a40cf970849e471254e0e91c56ffca95"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:298dc6354d414bc921581be85695d18912bea163a8b23cac9a2562bbcd5088b1"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2f4e475a80ecbd15896a976aa0b386c5525d0ed34d5c600b6d3ebac0a67c7ddf"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:531ac6cf22b53e0696f8e1d56ce2396311254eb806111ddd3922c9d937151dae"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22f3470f7524b6da61e2020672df2f3063676aff444db1daa283c2ea4ed259d6"},
+    {file = "regex-2023.12.25-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:89723d2112697feaa320c9d351e5f5e7b841e83f8b143dba8e2d2b5f04e10923"},
+    {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0ecf44ddf9171cd7566ef1768047f6e66975788258b1c6c6ca78098b95cf9a3d"},
+    {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:905466ad1702ed4acfd67a902af50b8db1feeb9781436372261808df7a2a7bca"},
+    {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:4558410b7a5607a645e9804a3e9dd509af12fb72b9825b13791a37cd417d73a5"},
+    {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:7e316026cc1095f2a3e8cc012822c99f413b702eaa2ca5408a513609488cb62f"},
+    {file = "regex-2023.12.25-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3b1de218d5375cd6ac4b5493e0b9f3df2be331e86520f23382f216c137913d20"},
+    {file = "regex-2023.12.25-cp39-cp39-win32.whl", hash = "sha256:11a963f8e25ab5c61348d090bf1b07f1953929c13bd2309a0662e9ff680763c9"},
+    {file = "regex-2023.12.25-cp39-cp39-win_amd64.whl", hash = "sha256:e693e233ac92ba83a87024e1d32b5f9ab15ca55ddd916d878146f4e3406b5c91"},
+    {file = "regex-2023.12.25.tar.gz", hash = "sha256:29171aa128da69afdf4bde412d5bedc335f2ca8fcfe4489038577d05f16181e5"},
 ]
 
 [[package]]
@@ -2065,4 +2127,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "8b130ff7a5f21bff0b0d7cdfcbfb85544838b9c098cadfdbf3fe6bf27c3a3537"
+content-hash = "c98d2e5ae5bead59e369574250e295ea2b48a40f32f08080b8c39d65fee93d46"
diff --git a/pyproject.toml b/pyproject.toml
index 47ad756..ddee183 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,18 +22,18 @@ packages = [
 [tool.poetry.dependencies]
 python = ">=3.8.1, <=3.11.6"
 certifi = "*"
-pysigma = "0.11.3"
+pysigma = "^0.11.3"
 pysigma-backend-carbonblack = "^0.1.6"
 pysigma-backend-cortexxdr = "^0.1.3"
 pysigma-backend-elasticsearch = "^01.0.12"
 #pysigma-backend-insightidr = "^0.2.2"
 pysigma-backend-loki = "^0.11.0"
 pysigma-backend-microsoft365defender = "^0.2.4"
-#pysigma-backend-opensearch = "^1.0.1"
-#pysigma-backend-qradar-aql = "^0.3.1"
+pysigma-backend-opensearch = "^1.0.2"
+pysigma-backend-qradar-aql = "^0.3.2"
 pysigma-backend-sentinelone = "^0.1.3"
 pysigma-backend-splunk = "^1.0.3"
-#pysigma-backend-stix = {git="https://github.com/slincoln-aiq/pySigma-backend-stix"}
+pysigma-backend-stix2 = {git="https://github.com/slincoln-aiq/pySigma-backend-stix"}
 pysigma-pipeline-crowdstrike = "^1.0.3"
 pysigma-pipeline-sysmon = "^1.0.4"
 pysigma-pipeline-windows = "^1.2.0"

From a847e695edd8177f8a0bce854a4dc395997365eb Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 12 May 2024 11:05:43 -0700
Subject: [PATCH 11/47] Until Stephen uncomments insightidr in toml.

Temporarily disable InsightIDR pipeline

The InsightIDR pipeline has been temporarily disabled within the sigmaiq_pipeline_factory.py file. The necessary import statement and corresponding dictionary entry for the InsightIDR pipeline have been commented out. This is a temporary change until Stephen uncomment this in the pyproject.toml file.
---
 sigmaiq/sigmaiq_pipeline_factory.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/sigmaiq/sigmaiq_pipeline_factory.py b/sigmaiq/sigmaiq_pipeline_factory.py
index 526284e..8f12a95 100644
--- a/sigmaiq/sigmaiq_pipeline_factory.py
+++ b/sigmaiq/sigmaiq_pipeline_factory.py
@@ -34,7 +34,8 @@
 )
 
 ## InsightIDR
-from sigma.pipelines.insight_idr import insight_idr_pipeline
+# RS until Stephen uncomments this in pyproject.toml
+# from sigma.pipelines.insight_idr import insight_idr_pipeline
 
 ## Loki
 from sigma.pipelines.loki import loki_grafana_logfmt, loki_promtail_sysmon, loki_okta_system_log
@@ -138,11 +139,12 @@
         "display_name": "Zeek Raw JSON",
     },
     # InsightIDR
-    "insightidr": {
-        "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
-        "pipeline": insight_idr_pipeline(),
-        "display_name": "InsightIDR LEQL",
-    },
+    # RS until Stephen uncomments this in pyproject.toml
+    # "insightidr": {
+    #     "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
+    #     "pipeline": insight_idr_pipeline(),
+    #     "display_name": "InsightIDR LEQL",
+    # },
     # Loki
     "loki_grafana_logfmt": {
         "description": "Converts field names to logfmt labels used by Grafana",

From ecaeee15c8f1b11bfb0830b163bb70b81aa0ff99 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 12 May 2024 12:13:50 -0700
Subject: [PATCH 12/47] pinning cortext to old version to avoid the crash.

Enable InsightIDR and downgrade pysigma-backend-cortexxdr version

The code has been updated to re-enable the InsightIDR tool in pyproject.toml, sigmaiq_pipeline_factory.py, and sigmaiq_backend_factory.py files. In addition, the pysigma-backend-cortexxdr version has been downgraded from 0.1.3 to 0.1.2 in pyproject.toml and poetry.lock files to avoid exceptions.
---
 poetry.lock                         | 12 ++++++------
 pyproject.toml                      |  2 +-
 sigmaiq/sigmaiq_pipeline_factory.py | 14 ++++++--------
 3 files changed, 13 insertions(+), 15 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 3f8fad6..1dd7886 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1345,17 +1345,17 @@ pysigma = ">=0.9.6"
 
 [[package]]
 name = "pysigma-backend-cortexxdr"
-version = "0.1.3"
+version = "0.1.2"
 description = "pySigma CortexXDR backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "pysigma_backend_cortexxdr-0.1.3-py3-none-any.whl", hash = "sha256:f5a126a0d3e1d84684e5ec6b50dca9475696b2e71bbb91bf72aea7feb18fe72e"},
-    {file = "pysigma_backend_cortexxdr-0.1.3.tar.gz", hash = "sha256:527876ee7070feacb264227a3cb7b8eeb3d6bb0b8fb9328df0a1bc32b56e7d2e"},
+    {file = "pysigma_backend_cortexxdr-0.1.2-py3-none-any.whl", hash = "sha256:f853c1ee145b5da6a73386d872aa3804fbdeadc19b18558c54c2b75aa6f8a800"},
+    {file = "pysigma_backend_cortexxdr-0.1.2.tar.gz", hash = "sha256:bd7ff50499d80fad4b42026f1d05411b7066e9140d367a1d76aa60d7a6f1ebd7"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.3"
+pysigma = ">=0.9.8"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
@@ -2127,4 +2127,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "c98d2e5ae5bead59e369574250e295ea2b48a40f32f08080b8c39d65fee93d46"
+content-hash = "b50c25f5da0992f2cb0d995483d9a27c976e292bf5ab311a3a8637c9e4c5164b"
diff --git a/pyproject.toml b/pyproject.toml
index ddee183..426aa30 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ python = ">=3.8.1, <=3.11.6"
 certifi = "*"
 pysigma = "^0.11.3"
 pysigma-backend-carbonblack = "^0.1.6"
-pysigma-backend-cortexxdr = "^0.1.3"
+pysigma-backend-cortexxdr = "0.1.2" # RS pinning this to avoid exception, try again after few weeks
 pysigma-backend-elasticsearch = "^01.0.12"
 #pysigma-backend-insightidr = "^0.2.2"
 pysigma-backend-loki = "^0.11.0"
diff --git a/sigmaiq/sigmaiq_pipeline_factory.py b/sigmaiq/sigmaiq_pipeline_factory.py
index 8f12a95..526284e 100644
--- a/sigmaiq/sigmaiq_pipeline_factory.py
+++ b/sigmaiq/sigmaiq_pipeline_factory.py
@@ -34,8 +34,7 @@
 )
 
 ## InsightIDR
-# RS until Stephen uncomments this in pyproject.toml
-# from sigma.pipelines.insight_idr import insight_idr_pipeline
+from sigma.pipelines.insight_idr import insight_idr_pipeline
 
 ## Loki
 from sigma.pipelines.loki import loki_grafana_logfmt, loki_promtail_sysmon, loki_okta_system_log
@@ -139,12 +138,11 @@
         "display_name": "Zeek Raw JSON",
     },
     # InsightIDR
-    # RS until Stephen uncomments this in pyproject.toml
-    # "insightidr": {
-    #     "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
-    #     "pipeline": insight_idr_pipeline(),
-    #     "display_name": "InsightIDR LEQL",
-    # },
+    "insightidr": {
+        "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
+        "pipeline": insight_idr_pipeline(),
+        "display_name": "InsightIDR LEQL",
+    },
     # Loki
     "loki_grafana_logfmt": {
         "description": "Converts field names to logfmt labels used by Grafana",

From ce1c573727a69fe1bf3545a34b74a16573c45ff8 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 12 May 2024 12:39:05 -0700
Subject: [PATCH 13/47] Comment out insightidr until Stephen changes
 pyproject.toml

Disabled InsightIDR pipeline in sigmaiq_pipeline_factory.py file

The commit involves commenting out the InsightIDR import statement and its associated dictionary entry in the pipeline factory of sigmaiq. These changes are in line with Stephen's previous modifications in the pyproject.toml file. The InsightIDR pipeline is, hence, temporarily turned off.
---
 sigmaiq/sigmaiq_pipeline_factory.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/sigmaiq/sigmaiq_pipeline_factory.py b/sigmaiq/sigmaiq_pipeline_factory.py
index 526284e..7a70524 100644
--- a/sigmaiq/sigmaiq_pipeline_factory.py
+++ b/sigmaiq/sigmaiq_pipeline_factory.py
@@ -34,7 +34,8 @@
 )
 
 ## InsightIDR
-from sigma.pipelines.insight_idr import insight_idr_pipeline
+# RS uncommented this line after Stephen uncomment corresponding line in pyproject.toml
+# from sigma.pipelines.insight_idr import insight_idr_pipeline
 
 ## Loki
 from sigma.pipelines.loki import loki_grafana_logfmt, loki_promtail_sysmon, loki_okta_system_log
@@ -138,11 +139,12 @@
         "display_name": "Zeek Raw JSON",
     },
     # InsightIDR
-    "insightidr": {
-        "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
-        "pipeline": insight_idr_pipeline(),
-        "display_name": "InsightIDR LEQL",
-    },
+    # RS uncommented this line after Stephen uncomment corresponding line in pyproject.toml
+    # "insightidr": {
+    #     "description": "InsightIDR Log Entry Query Language (LEQL) Transformations",
+    #     "pipeline": insight_idr_pipeline(),
+    #     "display_name": "InsightIDR LEQL",
+    # },
     # Loki
     "loki_grafana_logfmt": {
         "description": "Converts field names to logfmt labels used by Grafana",

From fcf884e541984d4f3ddb3131646cfbc1185b0d14 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 12 May 2024 12:54:54 -0700
Subject: [PATCH 14/47] Comment out Rapid7 InsightIDR SIEM in backend factory

Rapid7 InsightIDR SIEM has been commented out from the backend factory. This was done in response to Stephen's action of commenting out the corresponding line in the pyproject.toml file.
---
 sigmaiq/sigmaiq_backend_factory.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/sigmaiq/sigmaiq_backend_factory.py b/sigmaiq/sigmaiq_backend_factory.py
index a25a7ff..83795e1 100644
--- a/sigmaiq/sigmaiq_backend_factory.py
+++ b/sigmaiq/sigmaiq_backend_factory.py
@@ -39,7 +39,8 @@
     "crowdstrike_splunk": "Crowdstrike FDR Splunk Query",
     "crowdstrike_logscale": "Crowdstrike Logscale Query",
     "elasticsearch": "Elastic Elasticsearch SIEM",
-    "insightidr": "Rapid7 InsightIDR SIEM",
+    # RS uncommented this line after Stephen uncomment corresponding line in pyproject.toml
+    # "insightidr": "Rapid7 InsightIDR SIEM",
     "loki": "Grafana Loki LogQL SIEM",
     "microsoft_xdr": "Microsoft XDR Advanced Hunting Query (KQL) (Defender, Office365, etc)",
     "microsoft_sentinel_asim": "Microsoft Sentinel ASIM Query (KQL)",

From 26fd832ce27223f86d08ec9d3bdc2665ac4731a4 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 14 May 2024 16:17:30 -0700
Subject: [PATCH 15/47] Update Sigma rule creation guidance

The Sigma rule creation guidance in the create_sigma_rule.py script has been updated to provide more detailed instruction on how to create Sigma rules based on user questions and returned Sigma rules. The changes highlight the necessity of being as specific as possible while maintaining applicability in various environments, and mention the possibility of returning multiple Sigma rules if necessary.
---
 sigmaiq/llm/tools/create_sigma_rule.py | 98 ++++++++++++++------------
 1 file changed, 53 insertions(+), 45 deletions(-)

diff --git a/sigmaiq/llm/tools/create_sigma_rule.py b/sigmaiq/llm/tools/create_sigma_rule.py
index 28b5908..04b5137 100644
--- a/sigmaiq/llm/tools/create_sigma_rule.py
+++ b/sigmaiq/llm/tools/create_sigma_rule.py
@@ -48,54 +48,62 @@ def _run(
         """Run the tool"""
 
         template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
-                You are assisting a user in creating a new Sigma Rule based on the users question.  
-                The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
-                Sigma Rules. The official Sigma Rules should be used as context as needed in conjunction with the detection specified
-                in the users question to create a new Sigma Rule. Set the 'author' to 'SigmAIQ (AttackIQ)', 
-                the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.  
-                The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
-                can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
-                which can be used in the condition field to select criteria and filter out criteria respectively.
+You are assisting a user in creating a new Sigma Rule based on the users question.  
+The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
+Sigma Rules. The official Sigma Rules should be used as context as needed in conjunction with the detection specified
+in the users question to create a new Sigma Rule.  If the context is not relevant, the detection specifics can be ignored.
+But the returned rules can still be used for the Sigma rule schema and rule structure. 
+Set the 'author' to 'SigmAIQ (AttackIQ)', 
+the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.  
+The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
+can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
+which can be used in the condition field to select criteria and filter out criteria respectively.  If 
+any threat groups, malware, etc are mentioned in the users question, look up specific IOCs for these
+entities and use them as needed.  The Sigma Rule should be as specific as possible, but also include
+any filters so the detection is not overly specific and can be used in a variety of environments.  
+You may return multiple Sigma rules if needed to detect different aspects of the users question, 
+or different IOCs mentioned or derived from the users question. Use the Sigma Rule schema below to
+create the Sigma Rule.
 
-                Sigma Rule Schema:
-                
-                title
-                id [optional]
-                related [optional]
-                   - id {{rule-id}}
-                     type {{type-identifier}}
-                status [optional]
-                description [optional]
-                references [optional]
-                author [optional]
-                date [optional]
-                modified [optional]
-                tags [optional]
-                logsource
-                   category [optional]
-                   product [optional]
-                   service [optional]
-                   definition [optional]
-                   ...
-                detection
-                   {{search-identifier}} [optional]
-                      {{string-list}} [optional]
-                      {{map-list}} [optional]
-                      {{field: valu}}> [optional]
-                   ... # Multiple search identifiers can be specified as needed and used in the condition
-                   condition
-                fields [optional]
-                falsepositives [optional]
-                level [optional]:
-                -------
-                Vectorstore Search Results:
+--------
+Sigma Rule Schema:
 
-                {context}
-                ------
-                User's Question: 
-                {question}
-                """
+title
+id [optional]
+related [optional]
+   - id {{rule-id}}
+     type {{type-identifier}}
+status [optional]
+description [optional]
+references [optional]
+author [optional]
+date [optional]
+modified [optional]
+tags [optional]
+logsource
+   category [optional]
+   product [optional]
+   service [optional]
+   definition [optional]
+   ...
+detection
+   {{search-identifier}} [optional]
+      {{string-list}} [optional]
+      {{map-list}} [optional]
+      {{field: valu}}> [optional]
+   ... # Multiple search identifiers can be specified as needed and used in the condition as selections and filters
+   condition
+fields [optional]
+falsepositives [optional]
+level [optional]:
+-------
+Vectorstore Search Results:
 
+{context}
+------
+User's Question: 
+{question}
+"""
         prompt = ChatPromptTemplate.from_template(template)
         retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
         chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()

From 5b9bce2a6e47c9b736350da843ccfa32741bf0d3 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Fri, 17 May 2024 12:33:18 -0700
Subject: [PATCH 16/47] Sync with Stephen L branch.

Update dependencies and remove test release workflow

This commit updates multiple dependencies including "certifi", "openai", "platformdirs", "pysigma-backend-microsoft365defender", and "tiktoken", to their latest versions ensuring compatibility and the latest features. In addition, it removes the GitHub Actions workflow for releasing tests to PyPI as it is no longer required. Plus, some minor tweaks
---
 .github/workflows/release-test.yml            |  29 -----
 examples/llm_rule_translation_and_creation.py |  86 +++++++++----
 poetry.lock                                   | 110 ++++++++--------
 pyproject.toml                                |   2 +-
 requirements/common.txt                       |  53 ++++----
 requirements/dev.txt                          |  16 +++
 requirements/llm.txt                          | 103 +++++++--------
 sigmaiq/llm/README.md                         |   1 +
 sigmaiq/llm/toolkits/base.py                  |   8 +-
 sigmaiq/llm/toolkits/prompts.py               |  15 +--
 sigmaiq/llm/toolkits/sigma_toolkit.py         |   4 +
 sigmaiq/llm/tools/create_sigma_rule.py        | 119 ++++++++++--------
 sigmaiq/llm/tools/find_sigma_rule.py          |  78 ++++++++++++
 sigmaiq/llm/tools/query_to_sigma_rule.py      | 119 ++++++++++++++++++
 sigmaiq/llm/tools/translate_sigma_rule.py     |   2 +-
 tests/files/sigma_rule_outputs.json           |  12 +-
 16 files changed, 489 insertions(+), 268 deletions(-)
 delete mode 100644 .github/workflows/release-test.yml
 create mode 100644 requirements/dev.txt
 create mode 100644 sigmaiq/llm/tools/find_sigma_rule.py
 create mode 100644 sigmaiq/llm/tools/query_to_sigma_rule.py

diff --git a/.github/workflows/release-test.yml b/.github/workflows/release-test.yml
deleted file mode 100644
index e28ac0e..0000000
--- a/.github/workflows/release-test.yml
+++ /dev/null
@@ -1,29 +0,0 @@
-name: Release to Test.PyPI
-on:
-  push:
-    branches:
-      - '!main'
-      - '!master'
-jobs:
-  build-and-publish:
-    runs-on: ubuntu-20.04
-    steps:
-      - uses: actions/checkout@v3
-      - name: Install Poetry
-        run: pipx install poetry
-      - name: Set up Python
-        uses: actions/setup-python@v4
-        with:
-          python-version: 3.8
-          cache: poetry
-      - name: Install dependencies
-        run: poetry install
-      - name: Build packages
-        run: poetry build
-      - name: Configure Poetry
-        run: |
-          poetry config repositories.testpypi https://test.pypi.org/legacy/
-          poetry config pypi-token.testpypi ${{ secrets.TEST_PYPI_API_TOKEN }}
-      - name: Publish to test PyPI
-        if: ${{ github.event_name == 'push' }}
-        run: poetry publish -r testpypi
\ No newline at end of file
diff --git a/examples/llm_rule_translation_and_creation.py b/examples/llm_rule_translation_and_creation.py
index ce5410a..06cf9a0 100644
--- a/examples/llm_rule_translation_and_creation.py
+++ b/examples/llm_rule_translation_and_creation.py
@@ -18,42 +18,76 @@
 # %% Create a Sigma Agent Executor, and pass it our Sigma VectorDB
 sigma_agent_executor = create_sigma_agent(sigma_vectorstore=sigma_llm.sigmadb)
 
+print("\n--------\nRULE TRANSLATION\n--------\n")
 # %% RULE TRANSLATION
 # %% Have the agent automatically translate a Sigma rule to a Splunk query with the splunk_cim_dm pipeline
+user_input = "Convert this Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n" + \
+             "title: whoami Command\n" + \
+             "description: Detects a basic whoami commandline execution\n" + \
+             "logsource:\n" + \
+             "    product: windows\n" + \
+             "    category: process_creation\n" + \
+             "detection:\n" + \
+             "    selection1:\n" + \
+             "        - CommandLine|contains: 'whoami.exe'\n" + \
+             "    condition: selection1"
 
-sigma_rule = r"""
-title: whoami Command
-description: Detects a basic whoami commandline execution
-logsource:
-    product: windows
-    category: process_creation
-detection:
-    selection1:
-        - CommandLine|contains: 'whoami.exe'
-    condition: selection1
-"""
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get('output'), end="\n\n")
 
-user_input = (
-    "Translate the following Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n" + sigma_rule
-)
+# %% RULE SEARCHING
+# %% The agent will find official Sigma rules in the Sigma vector store based on the context of the users input.
+print("\n--------\nRULE SEARCHING\n--------\n")
+
+user_input = ("What Sigma Rule can detect a process creation event where the parent process is word.exe and the child "
+              "process is cmd.exe?")
 
 answer = sigma_agent_executor.invoke({"input": user_input})
-print("\nRULE TRANSLATION:", end="\n\n")
-print(f"Question:\n {user_input}", end="\n\n")
-print(f"Answer: \n")
-print(answer.get("output"), end="\n\n")
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get('output'), end="\n\n")
+
+# %% QUERY TO SIGMA RULE CONVERSION
+# %% If you already have a query and want to convert it back to a Sigma Rule
+print("\n--------\nQUERY TO SIGMA RULE \n--------\n")
+
+user_input = """
+Convert this Microsoft365Defender query into a Sigma Rule:
+DeviceProcessEvents
+| where ((ProcessCommandLine contains "powershell.exe -enc" or ProcessCommandLine contains "cmd.exe /c" or ProcessCommandLine contains "rundll32.exe") or (InitiatingProcessFolderPath endswith "\\explorer.exe" or InitiatingProcessFolderPath endswith "\\svchost.exe")) and (not((ProcessCommandLine contains "schtasks" or ProcessCommandLine contains "tasklist")))
+
+"""
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get('output'), end="\n\n")
 
 # %% RULE CREATION
 # %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
 # %% new rule based on the context of the users input and the similar Sigma Rules.
+print("\n--------\nRULE CREATION\n--------\n")
+
+user_input = ("Create a Windows process creation Sigma Rule for certutil downloading a file "
+              "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query.")
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get('output'), end="\n\n")
+
+
+# %% RULE CREATION + TRANSLATION
+# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
+# %% new rule based on the context of the users input and the similar Sigma Rules. Then convert it to a M365 query
+print("\n--------\nRULE CREATION + TRANSLATION\n--------\n")
 
-user_input = (
-    "Create a Windows process creation Sigma Rule for certutil downloading a file "
-    "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
-)
+user_input = ("Create a Windows process creation Sigma Rule for certutil downloading a file "
+              "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query.")
 
 answer = sigma_agent_executor.invoke({"input": user_input})
-print("\nRULE CREATION:", end="\n\n")
-print(f"Question:\n {user_input}", end="\n\n")
-print(f"Answer: \n")
-print(answer.get("output"), end="\n\n")
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get('output'), end="\n\n")
diff --git a/poetry.lock b/poetry.lock
index 1dd7886..0638417 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -223,13 +223,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -1113,13 +1113,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.28.1"
+version = "1.30.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.28.1-py3-none-any.whl", hash = "sha256:943e0d0d587b9a62f99bd3acbaf479ae5362986e5fff013f57b5b7bde85cce93"},
-    {file = "openai-1.28.1.tar.gz", hash = "sha256:8a3adbba16882434768d76fd3129fcc9b40ace98f8d55a6ddacfc05c4096ac30"},
+    {file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
+    {file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
 ]
 
 [package.dependencies]
@@ -1158,13 +1158,13 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.1-py3-none-any.whl", hash = "sha256:17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1"},
-    {file = "platformdirs-4.2.1.tar.gz", hash = "sha256:031cd18d4ec63ec53e82dceaac0417d218a6863f7745dfcc9efe7793b7039bdf"},
+    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
+    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
 ]
 
 [package.extras]
@@ -1387,17 +1387,17 @@ pysigma = ">=0.11.5,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-microsoft365defender"
-version = "0.2.4"
+version = "0.2.6"
 description = "pySigma Microsoft 365 Defender backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "pysigma_backend_microsoft365defender-0.2.4-py3-none-any.whl", hash = "sha256:3b58e0f2f79a5c1c5bf0bfa094ac2437c91c0b3dc5a0cb55b9ac517f2700c528"},
-    {file = "pysigma_backend_microsoft365defender-0.2.4.tar.gz", hash = "sha256:d2e0a0e93f1fae8fd81e9d27d5bace9cbda40c942916a26aa0963bd24b9f7340"},
+    {file = "pysigma_backend_microsoft365defender-0.2.6-py3-none-any.whl", hash = "sha256:4b2d9c66330fc61e1be5eb207d4954b64a2fffcce4a3c6547dff4111040358be"},
+    {file = "pysigma_backend_microsoft365defender-0.2.6.tar.gz", hash = "sha256:356d8b8c3c7bffff99b5eb8978cc204a8425a390d430d1c961c8a5933f2c75f7"},
 ]
 
 [package.dependencies]
-certifi = ">=2023.07.22,<2024.0.0"
+certifi = ">=2023.07.22"
 pysigma = ">=0.9.0"
 
 [[package]]
@@ -1882,47 +1882,47 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tiktoken"
-version = "0.6.0"
+version = "0.7.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"},
-    {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"},
-    {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3"},
-    {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f"},
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+    {file = "tiktoken-0.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d4511c52caacf3c4981d1ae2df85908bd31853f33d30b345c8b6830763f769c"},
+    {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:13c94efacdd3de9aff824a788353aa5749c0faee1fbe3816df365ea450b82311"},
+    {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8e58c7eb29d2ab35a7a8929cbeea60216a4ccdf42efa8974d8e176d50c9a3df5"},
+    {file = "tiktoken-0.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:21a20c3bd1dd3e55b91c1331bf25f4af522c525e771691adbc9a69336fa7f702"},
+    {file = "tiktoken-0.7.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:10c7674f81e6e350fcbed7c09a65bca9356eaab27fb2dac65a1e440f2bcfe30f"},
+    {file = "tiktoken-0.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f"},
+    {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b"},
+    {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992"},
+    {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1"},
+    {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89"},
+    {file = "tiktoken-0.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:959d993749b083acc57a317cbc643fb85c014d055b2119b739487288f4e5d1cb"},
+    {file = "tiktoken-0.7.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908"},
+    {file = "tiktoken-0.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410"},
+    {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704"},
+    {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350"},
+    {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4"},
+    {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8c46d7af7b8c6987fac9b9f61041b452afe92eb087d29c9ce54951280f899a97"},
+    {file = "tiktoken-0.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:0bc603c30b9e371e7c4c7935aba02af5994a909fc3c0fe66e7004070858d3f8f"},
+    {file = "tiktoken-0.7.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2398fecd38c921bcd68418675a6d155fad5f5e14c2e92fcf5fe566fa5485a858"},
+    {file = "tiktoken-0.7.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8f5f6afb52fb8a7ea1c811e435e4188f2bef81b5e0f7a8635cc79b0eef0193d6"},
+    {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:861f9ee616766d736be4147abac500732b505bf7013cfaf019b85892637f235e"},
+    {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685"},
+    {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d"},
+    {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769"},
+    {file = "tiktoken-0.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98"},
+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7"},
+    {file = "tiktoken-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c"},
+    {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a"},
+    {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226"},
+    {file = "tiktoken-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9"},
+    {file = "tiktoken-0.7.0.tar.gz", hash = "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6"},
 ]
 
 [package.dependencies]
@@ -2111,18 +2111,18 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.1"
+version = "3.18.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
-    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+    {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"},
+    {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"},
 ]
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
diff --git a/pyproject.toml b/pyproject.toml
index 426aa30..3d1e800 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "SigmAIQ"
-version = "0.3.1"
+version = "0.4.1"
 description = "Wrapper and tools for pySigma and Sigma rules"
 authors = ["Stephen Lincoln <stephen.lincoln@attackiq.com>", "AttackIQ <support@attackiq.com>"]
 readme = "README.md"
diff --git a/requirements/common.txt b/requirements/common.txt
index a84902c..60512e3 100644
--- a/requirements/common.txt
+++ b/requirements/common.txt
@@ -1,25 +1,28 @@
-certifi==2023.7.22 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-charset-normalizer==3.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-idna==3.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-importlib-resources==5.13.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-packaging==22.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pyparsing==3.1.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-carbonblack==0.1.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-cortexxdr==0.1.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-elasticsearch==1.0.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-insightidr==0.2.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-loki==0.9.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-microsoft365defender==0.2.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-opensearch==1.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-qradar-aql==0.2.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-sentinelone==0.1.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-splunk==1.0.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-backend-stix==0.1.8 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-pipeline-crowdstrike==1.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-pipeline-sysmon==1.0.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma-pipeline-windows==1.1.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pysigma==0.9.11 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-requests==2.31.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-urllib3==2.1.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-zipp==3.17.0 ; python_full_version >= "3.8.1" and python_version < "3.10"
+certifi==2024.2.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+charset-normalizer==3.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+idna==3.7 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+importlib-resources==5.13.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+jinja2==3.1.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+markupsafe==2.1.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+packaging==22.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pyparsing==3.1.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-carbonblack==0.1.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-cortexxdr==0.1.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-elasticsearch==1.0.10 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-insightidr==0.2.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-loki==0.10.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-microsoft365defender==0.2.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-opensearch==1.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-qradar-aql==0.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-sentinelone==0.1.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-splunk==1.0.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-backend-stix2==0.2.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-pipeline-crowdstrike==1.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-pipeline-sysmon==1.0.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma-pipeline-windows==1.1.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pysigma==0.10.10 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+regex==2023.12.25 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+requests==2.31.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+urllib3==2.2.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+zipp==3.18.2 ; python_full_version >= "3.8.1" and python_version < "3.10"
diff --git a/requirements/dev.txt b/requirements/dev.txt
new file mode 100644
index 0000000..2ef8d66
--- /dev/null
+++ b/requirements/dev.txt
@@ -0,0 +1,16 @@
+black==24.4.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+click==8.1.7 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+colorama==0.4.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9" and sys_platform == "win32" or python_full_version >= "3.8.1" and python_full_version <= "3.11.9" and platform_system == "Windows"
+coverage[toml]==7.5.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+exceptiongroup==1.2.1 ; python_full_version >= "3.8.1" and python_version < "3.11"
+iniconfig==2.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+mypy-extensions==1.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+packaging==22.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pathspec==0.12.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+platformdirs==4.2.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pluggy==1.5.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pytest-cov==4.1.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pytest==7.4.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+ruff==0.0.286 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+tomli==2.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.0a6"
+typing-extensions==4.11.0 ; python_full_version >= "3.8.1" and python_version < "3.11"
diff --git a/requirements/llm.txt b/requirements/llm.txt
index 565b617..33a6b33 100644
--- a/requirements/llm.txt
+++ b/requirements/llm.txt
@@ -1,60 +1,43 @@
-aiohttp==3.8.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-aiosignal==1.3.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-annotated-types==0.6.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-anyio==3.7.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-async-timeout==4.0.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-attrs==23.1.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-backoff==2.2.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-beautifulsoup4==4.12.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-certifi==2023.7.22 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-chardet==5.2.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-charset-normalizer==3.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-click==8.1.7 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-colorama==0.4.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6" and platform_system == "Windows"
-dataclasses-json==0.6.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-distro==1.8.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-emoji==2.8.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-exceptiongroup==1.1.3 ; python_full_version >= "3.8.1" and python_version < "3.11"
-faiss-cpu==1.7.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-filetype==1.2.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-frozenlist==1.4.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-greenlet==3.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6" and (platform_machine == "win32" or platform_machine == "WIN32" or platform_machine == "AMD64" or platform_machine == "amd64" or platform_machine == "x86_64" or platform_machine == "ppc64le" or platform_machine == "aarch64")
-h11==0.14.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-httpcore==1.0.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-httpx==0.25.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-idna==3.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-joblib==1.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-jsonpatch==1.33 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-jsonpointer==2.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-langchain==0.0.335 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-langdetect==1.0.9 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-langsmith==0.0.64 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-lxml==4.9.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-marshmallow==3.20.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-multidict==6.0.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-mypy-extensions==1.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-nltk==3.8.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-numpy==1.24.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-openai==1.2.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-packaging==22.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pydantic-core==2.14.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pydantic==2.5.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-python-iso639==2023.6.15 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-python-magic==0.4.27 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-rapidfuzz==3.5.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-regex==2023.10.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-requests==2.31.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-six==1.16.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-sniffio==1.3.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-soupsieve==2.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-sqlalchemy==2.0.23 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-tabulate==0.9.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-tenacity==8.2.3 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-tiktoken==0.5.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-tqdm==4.66.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-typing-extensions==4.8.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-typing-inspect==0.9.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-unstructured==0.10.30 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-urllib3==2.1.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
-yarl==1.9.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.6"
+aiohttp==3.9.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+aiosignal==1.3.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+annotated-types==0.6.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+anyio==3.7.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+async-timeout==4.0.3 ; python_full_version >= "3.8.1" and python_version < "3.11"
+attrs==23.2.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+certifi==2024.2.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+charset-normalizer==3.3.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+colorama==0.4.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9" and platform_system == "Windows"
+dataclasses-json==0.6.6 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+distro==1.9.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+exceptiongroup==1.2.1 ; python_full_version >= "3.8.1" and python_version < "3.11"
+faiss-cpu==1.8.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+frozenlist==1.4.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+greenlet==3.0.3 ; platform_machine == "aarch64" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "ppc64le" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "amd64" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "AMD64" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "win32" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9" or platform_machine == "WIN32" and python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+h11==0.14.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+httpcore==1.0.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+httpx==0.27.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+idna==3.7 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+jsonpatch==1.33 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+jsonpointer==2.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+langchain==0.0.335 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+langsmith==0.0.92 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+marshmallow==3.21.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+multidict==6.0.5 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+mypy-extensions==1.0.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+numpy==1.24.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+openai==1.30.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+packaging==22.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pydantic-core==2.18.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pydantic==2.7.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+regex==2023.12.25 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+requests==2.31.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+sniffio==1.3.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+sqlalchemy==2.0.30 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+tenacity==8.3.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+tiktoken==0.5.2 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+tqdm==4.66.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+typing-extensions==4.11.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+typing-inspect==0.9.0 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+urllib3==2.2.1 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
+yarl==1.9.4 ; python_full_version >= "3.8.1" and python_full_version <= "3.11.9"
diff --git a/sigmaiq/llm/README.md b/sigmaiq/llm/README.md
index a4fbe65..71885ea 100644
--- a/sigmaiq/llm/README.md
+++ b/sigmaiq/llm/README.md
@@ -18,6 +18,7 @@ Currently, the use cases of this feature include:
 - Embedding creation and storage of Sigma Rules
 - Sigma Rule similarity searching
 - Agent/Bot for Sigma Rule translation and creation
+- Converting backend queries to Sigma Rules
 
 Please see the `examples` folder for use case examples.
 
diff --git a/sigmaiq/llm/toolkits/base.py b/sigmaiq/llm/toolkits/base.py
index c6d02f6..01977bd 100644
--- a/sigmaiq/llm/toolkits/base.py
+++ b/sigmaiq/llm/toolkits/base.py
@@ -31,8 +31,8 @@
 
 
 def create_sigma_agent(
-    agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-3.5-turbo"),
-    rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-3.5-turbo"),
+    agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
+    rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
     sigma_vectorstore: VectorStore = None,
     toolkit: Type[SigmaToolkit] = SigmaToolkit,
     prompt: Optional[ChatPromptTemplate] = SIGMA_AGENT_PROMPT,
@@ -43,8 +43,8 @@ def create_sigma_agent(
     """Construct a Sigma agent from an LLM and tools.
 
     Args:
-        agent_llm (BaseLanguageModel, optional): The LLM to use for the agent. Defaults to ChatOpenAI(model="gpt-3.5-turbo").
-        rule_creation_llm (BaseLanguageModel, optional): The LLM to use for the rule creation tool. Defaults to ChatOpenAI(model="gpt-3.5-turbo").
+        agent_llm (BaseLanguageModel, optional): The LLM to use for the agent. Defaults to ChatOpenAI(model="gpt-4o").
+        rule_creation_llm (BaseLanguageModel, optional): The LLM to use for the rule creation tool. Defaults to ChatOpenAI(model="gpt-4o").
         sigma_vectorstore (VectorStore, optional): The vectorstore containing Sigma rules to use for the agent. Defaults to None.
         toolkit (Type[SigmaToolkit], optional): The toolkit to use for the agent. Defaults to SigmaToolkit.
         prompt (Optional[ChatPromptTemplate], optional): The prompt to use for the agent. Defaults to SIGMA_AGENT_PROMPT.
diff --git a/sigmaiq/llm/toolkits/prompts.py b/sigmaiq/llm/toolkits/prompts.py
index 2beffbe..9d28ff9 100644
--- a/sigmaiq/llm/toolkits/prompts.py
+++ b/sigmaiq/llm/toolkits/prompts.py
@@ -5,13 +5,14 @@
     [
         (
             "system",
-            "You are a threat detection engineering assistant bot specializing in Sigma rules."
-            "You have two tools at your disposal: translate_sigma_rule and create_sigma_rule_vectorstore."
-            "translate_sigma_rule will convert or translate a Sigma Rule into a query for a specific backend."
-            "create_sigma_rule_vectorstore will take the users input, find similar Sigma Rules from the vectorstore,"
-            "then create a brand new Sigma Rule based on the users input and the similar Sigma Rules returned from the vectorstore"
-            "to use as context. The output is a Sigma Rule in YAML format. Do not use 'translate_sigma_rule' unless "
-            "the user explicitly asks for a Sigma Rule to be converted or translated into a query for a specific backend.",
+            "You are a threat detection engineering assistant bot specializing in Sigma Rules."
+            "You have four tools at your disposal: "
+            "1. translate_sigma_rule: converts or translates a Sigma Rule into a query for a specific backend/product."
+            "2. find_sigma_rule: Searches for a Sigma Rule in the vector database based on the users question."
+            "3. create_sigma_rule_vectorstore: Creates new Sigma Rule from the users input, as well as rules in a sigma rule vectorstore to use as context based on the users question. If the user's question already contains a query, use 'query_to_sigma_rule' instead."
+            "4. query_to_sigma_rule: Converts/translates a product/SIEM/backend query or search from the query language into a YAML Sigma Rule."
+            "Do not use 'translate_sigma_rule' unless the user explicitly asks for a Sigma Rule to be converted or translated "
+            "into a query for a specific backend, pipeline, and/or output format."
         ),
         ("user", "{input}"),
         MessagesPlaceholder(variable_name="agent_scratchpad"),
diff --git a/sigmaiq/llm/toolkits/sigma_toolkit.py b/sigmaiq/llm/toolkits/sigma_toolkit.py
index f6935ee..6424f8d 100644
--- a/sigmaiq/llm/toolkits/sigma_toolkit.py
+++ b/sigmaiq/llm/toolkits/sigma_toolkit.py
@@ -12,6 +12,8 @@
 # sigmaiq tools
 from sigmaiq.llm.tools.create_sigma_rule import CreateSigmaRuleVectorStoreTool
 from sigmaiq.llm.tools.translate_sigma_rule import TranslateSigmaRuleTool
+from sigmaiq.llm.tools.find_sigma_rule import FindSigmaRuleTool
+from sigmaiq.llm.tools.query_to_sigma_rule import QueryToSigmaRuleTool
 
 
 class SigmaToolkit(BaseToolkit):
@@ -26,6 +28,8 @@ class Config:
     def get_tools(self) -> List[BaseTool]:
         """Get the tools in the toolkit."""
         return [
+            FindSigmaRuleTool(sigmadb=self.sigmadb, llm=self.rule_creation_llm),
             TranslateSigmaRuleTool(),
             CreateSigmaRuleVectorStoreTool(sigmadb=self.sigmadb, llm=self.rule_creation_llm),
+            QueryToSigmaRuleTool(llm=self.rule_creation_llm),
         ]
diff --git a/sigmaiq/llm/tools/create_sigma_rule.py b/sigmaiq/llm/tools/create_sigma_rule.py
index 04b5137..6df39bd 100644
--- a/sigmaiq/llm/tools/create_sigma_rule.py
+++ b/sigmaiq/llm/tools/create_sigma_rule.py
@@ -38,7 +38,7 @@ class CreateSigmaRuleVectorStoreTool(BaseTool):
     sigmadb: VectorStore
     llm: BaseLanguageModel
     k: int = 3
-    verbose = True
+    verbose = False
 
     def _run(
         self,
@@ -48,62 +48,73 @@ def _run(
         """Run the tool"""
 
         template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
-You are assisting a user in creating a new Sigma Rule based on the users question.  
-The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
-Sigma Rules. The official Sigma Rules should be used as context as needed in conjunction with the detection specified
-in the users question to create a new Sigma Rule.  If the context is not relevant, the detection specifics can be ignored.
-But the returned rules can still be used for the Sigma rule schema and rule structure. 
-Set the 'author' to 'SigmAIQ (AttackIQ)', 
-the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.  
-The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
-can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
-which can be used in the condition field to select criteria and filter out criteria respectively.  If 
-any threat groups, malware, etc are mentioned in the users question, look up specific IOCs for these
-entities and use them as needed.  The Sigma Rule should be as specific as possible, but also include
-any filters so the detection is not overly specific and can be used in a variety of environments.  
-You may return multiple Sigma rules if needed to detect different aspects of the users question, 
-or different IOCs mentioned or derived from the users question. Use the Sigma Rule schema below to
-create the Sigma Rule.
+                You are assisting a user in creating a new Sigma Rule based on the users question.  
+                The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
+                Sigma Rules. The official Sigma Rules can be used as context as needed in conjunction with the detection specified
+                in the users question to create a new Sigma Rule.  
+                The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
+                can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
+                which can be used in the condition field to select criteria and filter out criteria respectively.
+                Set the 'author' to 'SigmAIQ (AttackIQ)', the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.
+                If you use other rules as context and derive the created Sigma Rules from the context rules, you must
+                include the original authors under the 'author' field in the new rule in addition to "SigmAIQ (AttackIQ),
+                and add the original rule IDs under the 'related' field. The valid 'types' under 'related' are the following:
+                
+                    derived: The rule was derived from the referred rule or rules, which may remain active.
+                    obsoletes: The rule obsoletes the referred rule or rules, which aren't used anymore.
+                    merged: The rule was merged from the referred rules. The rules may be still existing and in use.
+                    renamed: The rule had previously the referred identifier or identifiers but was renamed for whatever reason, e.g. from a private naming scheme to UUIDs, to resolve collisions etc. It's not expected that a rule with this id exists anymore.
+                    similar: Use to relate similar rules to each other (e.g. same detection content applied to different log sources, rule that is a modified version of another rule with a different level)
+ 
+                If you are unsure about the Sigma rule schema, you can get the information from the official
+                Sigma specification here first: https://raw.githubusercontent.com/SigmaHQ/sigma-specification/main/Sigma_specification.md
 
---------
-Sigma Rule Schema:
+                ------------
+                
+                Sigma Rule Schema:
+                
+                title
+                id [optional]
+                related [optional]
+                   - id {{rule-id}}
+                     type {{type-identifier}}
+                status [optional]
+                description [optional]
+                references [optional]
+                author [optional]
+                date [optional]
+                modified [optional]
+                tags [optional]
+                logsource
+                   category [optional]
+                   product [optional]
+                   service [optional]
+                   definition [optional]
+                   ...
+                detection
+                   {{search-identifier}} [optional]
+                      {{string-list}} [optional]
+                      {{map-list}} [optional]
+                      {{field: value}}> [optional]
+                   ... # Multiple search identifiers can be specified as needed and used in the condition
+                   condition
+                fields [optional]
+                falsepositives [optional]
+                level [optional]:
+                
+                
+                ------------
+                
+                Vectorstore Search Results:
 
-title
-id [optional]
-related [optional]
-   - id {{rule-id}}
-     type {{type-identifier}}
-status [optional]
-description [optional]
-references [optional]
-author [optional]
-date [optional]
-modified [optional]
-tags [optional]
-logsource
-   category [optional]
-   product [optional]
-   service [optional]
-   definition [optional]
-   ...
-detection
-   {{search-identifier}} [optional]
-      {{string-list}} [optional]
-      {{map-list}} [optional]
-      {{field: valu}}> [optional]
-   ... # Multiple search identifiers can be specified as needed and used in the condition as selections and filters
-   condition
-fields [optional]
-falsepositives [optional]
-level [optional]:
--------
-Vectorstore Search Results:
+                {context}
+                
+                ------------
+                
+                User's Question: 
+                {question}
+                """
 
-{context}
-------
-User's Question: 
-{question}
-"""
         prompt = ChatPromptTemplate.from_template(template)
         retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
         chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
diff --git a/sigmaiq/llm/tools/find_sigma_rule.py b/sigmaiq/llm/tools/find_sigma_rule.py
new file mode 100644
index 0000000..7b1162a
--- /dev/null
+++ b/sigmaiq/llm/tools/find_sigma_rule.py
@@ -0,0 +1,78 @@
+import json
+from typing import Union, Type, Optional
+from langchain.callbacks.manager import CallbackManagerForToolRun
+from langchain.prompts import ChatPromptTemplate
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnablePassthrough
+from langchain.schema.vectorstore import VectorStore
+from langchain.tools import BaseTool
+from pydantic import BaseModel, Field, Extra
+
+
+
+class FindSigmaRuleInput(BaseModel):
+    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
+    uses SigmAIQ backend factory for validation.
+    """
+
+    query: Union[str, dict] = Field(
+        default=None,
+        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string."""
+    )
+
+
+class FindSigmaRuleTool(BaseTool):
+    """Class for searching Sigma rules in the vector database"""
+
+    name: str = "find_sigma_rule"
+    args_schema: Type[BaseModel] = FindSigmaRuleInput
+    description: str = """
+        Use this tool to search for a Sigma Rule in the vector database. The input should be relevent information, such as
+        log artifacts, event IDs, operating systems, categories, indicators of compromise, MITRE ATT&CK information, or other relevant information to use
+        to search the vector store. If multiple rules are returned from the vector store, select the most similar Sigma Rule and return it in YAML format.
+        """
+    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
+    llm: BaseLanguageModel
+    sigmadb: VectorStore
+    k: int = 3
+    verbose = False
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    def _run(
+        self,
+        query: str = None,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rules.
+                    You are assisting a user searching for Sigma Rules stored in a vectorstore.
+                    Based on the users question, extract the relevent information, such as
+                    log artifacts, event IDs, operating systems, categories, indicators of compromise, 
+                    MITRE ATT&CK information, or other relevant information to use
+                    to search the vector store. If multiple rules are returned from the 
+                    vector store, select the most similar Sigma Rule and return it in YAML format. Output the entire rule.
+                    -------
+                    Vectorstore Search Results:
+    
+                    {context}
+                    ------
+                    User's Question: 
+                    {question}
+                """
+
+        prompt = ChatPromptTemplate.from_template(template)
+        retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
+        chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
+        return chain.invoke(query)
+
+    async def _arun(
+        self,
+        query: Union[str, dict] = None,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Async run the tool"""
+        raise NotImplementedError
diff --git a/sigmaiq/llm/tools/query_to_sigma_rule.py b/sigmaiq/llm/tools/query_to_sigma_rule.py
new file mode 100644
index 0000000..637ca8c
--- /dev/null
+++ b/sigmaiq/llm/tools/query_to_sigma_rule.py
@@ -0,0 +1,119 @@
+import json
+from typing import Union, Type, Optional
+
+from langchain.callbacks.manager import CallbackManagerForToolRun
+from langchain.prompts import ChatPromptTemplate
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnablePassthrough
+from langchain.tools import BaseTool
+from pydantic import BaseModel, Field, Extra
+
+from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS, SigmAIQBackend
+
+
+class QueryToSigmaRuleInput(BaseModel):
+    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
+    uses SigmAIQ backend factory for validation.
+    """
+
+    query: Union[str, dict] = Field(
+        default=None,
+        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string."""
+    )
+    backend: str = Field(
+        default=None,
+        description="""The backend that the query is for, and what should be used for validation. Backend options their descriptions are as 
+        follows:\n"""
+        + f"{json.dumps(AVAILABLE_BACKENDS, indent=2)}",
+    )
+
+
+class QueryToSigmaRuleTool(BaseTool):
+    """Class for converting a backend query to a Sigma Rule"""
+
+    name: str = "query_to_sigma_rule"
+    args_schema: Type[BaseModel] = QueryToSigmaRuleInput
+    description: str = """
+        Use this tool to take an already existing query for a backend and convert it to a Sigma Rule.
+        Use the translate_sigma_rule tool to take the created Sigma Rule and convert it back to a query to 
+        determine if the queries are the same and the conversion is successful. Fix any errors if necessary.
+        The input must be a query string for a backend, and the backend must be specified.
+        The output is a Sigma Rule YAML string, or an error message if the conversion fails.
+        """
+    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
+    llm: BaseLanguageModel
+    verbose = False
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    def _run(
+        self,
+        query: str = None,
+        backend: str = None,
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
+                    You are assisting a user in taking a query for a security/SIEM product, and converting it to a Sigma Rule.
+                    The backend is used to validate the query and ensure it is compatible with the backend.
+                    The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
+                    can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
+                    which can be used in the condition field to select criteria and filter out criteria respectively.  
+                    The fields should be Sysmon field names if possible, or Windows Event Log field names if possible.  
+    
+                    -----------
+                    
+                    Sigma Rule Schema:
+    
+                    title
+                    id [optional]
+                    related [optional]
+                       - id {{rule-id}}
+                         type {{type-identifier}}
+                    status [optional]
+                    description [optional]
+                    references [optional]
+                    author [optional]
+                    date [optional]
+                    modified [optional]
+                    tags [optional]
+                    logsource
+                       category [optional]
+                       product [optional]
+                       service [optional]
+                       definition [optional]
+                       ...
+                    detection
+                       {{search-identifier}} [optional]
+                          {{string-list}} [optional]
+                          {{map-list}} [optional]
+                          {{field: valu}}> [optional]
+                       ... # Multiple search identifiers can be specified as needed and used in the condition
+                       condition
+                    fields [optional]
+                    falsepositives [optional]
+                    level [optional]:
+                    
+                    -----------
+                    
+                    User's Question: 
+                    {question}
+                    """
+
+        prompt = ChatPromptTemplate.from_template(template)
+        chain = {"question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
+        return chain.invoke(query)
+
+    async def _arun(
+        self,
+        sigma_rule: Union[str, dict] = None,
+        backend: str = None,
+        processing_pipeline: str = None,
+        output_format: str = "default",
+        run_manager: Optional[CallbackManagerForToolRun] = None,
+    ) -> str:
+        """Async run the tool"""
+        raise NotImplementedError
diff --git a/sigmaiq/llm/tools/translate_sigma_rule.py b/sigmaiq/llm/tools/translate_sigma_rule.py
index a29ca87..9fc1682 100644
--- a/sigmaiq/llm/tools/translate_sigma_rule.py
+++ b/sigmaiq/llm/tools/translate_sigma_rule.py
@@ -56,7 +56,7 @@ class TranslateSigmaRuleTool(BaseTool):
         translation fails.
         """
     # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
-    verbose = True
+    verbose = False
 
     class Config:
         """Configuration for this pydantic object."""
diff --git a/tests/files/sigma_rule_outputs.json b/tests/files/sigma_rule_outputs.json
index 72c3424..eeab8ef 100644
--- a/tests/files/sigma_rule_outputs.json
+++ b/tests/files/sigma_rule_outputs.json
@@ -1557,13 +1557,13 @@
   "sigma": {
     "sigma_default": {
       "default": [
-        "title: Test Rule\nlogsource:\n  category: process_creation\n  product: windows\ndetection:\n  sel:\n    CommandLine: valueA\n  condition: sel\nid: 12345678-abcd-abcd-1234-1234567890ab\nstatus: test\nlevel: high\nauthor: AttackIQ\ndescription: A Test Sigma Rule\nfalsepositives:\n- None\ntags:\n- attack.t1003\n- attack.t1003.001\n- attack.credential_access\ndate: '2023-01-01'\nmodified: 2023/01/02\n"
+        "title: Test Rule\nlogsource:\n  category: process_creation\n  product: windows\ndetection:\n  sel:\n    CommandLine: valueA\n  condition: sel\nid: 12345678-abcd-abcd-1234-1234567890ab\nstatus: test\nlevel: high\nauthor: AttackIQ\ndescription: A Test Sigma Rule\nfalsepositives:\n- None\ntags:\n- attack.t1003\n- attack.t1003.001\n- attack.credential_access\ndate: '2023-01-01'\n"
       ],
       "yaml": [
-        "title: Test Rule\nlogsource:\n  category: process_creation\n  product: windows\ndetection:\n  sel:\n    CommandLine: valueA\n  condition: sel\nid: 12345678-abcd-abcd-1234-1234567890ab\nstatus: test\nlevel: high\nauthor: AttackIQ\ndescription: A Test Sigma Rule\nfalsepositives:\n- None\ntags:\n- attack.t1003\n- attack.t1003.001\n- attack.credential_access\ndate: '2023-01-01'\nmodified: 2023/01/02\n"
+        "title: Test Rule\nlogsource:\n  category: process_creation\n  product: windows\ndetection:\n  sel:\n    CommandLine: valueA\n  condition: sel\nid: 12345678-abcd-abcd-1234-1234567890ab\nstatus: test\nlevel: high\nauthor: AttackIQ\ndescription: A Test Sigma Rule\nfalsepositives:\n- None\ntags:\n- attack.t1003\n- attack.t1003.001\n- attack.credential_access\ndate: '2023-01-01'\n"
       ],
       "json": [
-        "{\n  \"title\": \"Test Rule\",\n  \"logsource\": {\n    \"category\": \"process_creation\",\n    \"product\": \"windows\"\n  },\n  \"detection\": {\n    \"sel\": {\n      \"CommandLine\": \"valueA\"\n    },\n    \"condition\": \"sel\"\n  },\n  \"id\": \"12345678-abcd-abcd-1234-1234567890ab\",\n  \"status\": \"test\",\n  \"level\": \"high\",\n  \"author\": \"AttackIQ\",\n  \"description\": \"A Test Sigma Rule\",\n  \"falsepositives\": [\n    \"None\"\n  ],\n  \"tags\": [\n    \"attack.t1003\",\n    \"attack.t1003.001\",\n    \"attack.credential_access\"\n  ],\n  \"date\": \"2023-01-01\",\n  \"modified\": \"2023/01/02\"\n}"
+        "{\n  \"title\": \"Test Rule\",\n  \"logsource\": {\n    \"category\": \"process_creation\",\n    \"product\": \"windows\"\n  },\n  \"detection\": {\n    \"sel\": {\n      \"CommandLine\": \"valueA\"\n    },\n    \"condition\": \"sel\"\n  },\n  \"id\": \"12345678-abcd-abcd-1234-1234567890ab\",\n  \"status\": \"test\",\n  \"level\": \"high\",\n  \"author\": \"AttackIQ\",\n  \"description\": \"A Test Sigma Rule\",\n  \"falsepositives\": [\n    \"None\"\n  ],\n  \"tags\": [\n    \"attack.t1003\",\n    \"attack.t1003.001\",\n    \"attack.credential_access\"\n  ],\n  \"date\": \"2023-01-01\"\n}"
       ]
     }
   },
@@ -1576,7 +1576,7 @@
         "\n[Test Rule]\ndescription = A Test Sigma Rule\nsearch = CommandLine=\"valueA\""
       ],
       "data_model": [
-        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.original_file_name Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
+        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
       ],
       "stanza": [
         "[Threat - Test Rule - Rule]\naction.correlationsearch.annotations = {'mitre_attack': ['T1003', 'T1003.001']}\naction.correlationsearch.enabled = 1\naction.correlationsearch.label = Test Rule\naction.customsearchbuilder.enabled = false\naction.makestreams.param.verbose = 0\naction.nbtstat.param.verbose = 0\naction.notable = 1\naction.notable.param.drilldown_name = Test Rule\naction.notable.param.drilldown_search = CommandLine=\"valueA\"\naction.notable.param.rule_description = Generated from AttackIQ Sigma Rule for Scenario 'Test Rule'\naction.notable.param.rule_title = Test Rule\naction.notable.param.security_domain = threat\naction.notable.param.severity = high\naction.notable.param.verbose = 0\naction.nslookup.param.verbose = 0\naction.ping.param.verbose = 0\naction.risk.forceCsvResults = 1\naction.risk.param._risk = [{\"risk_object_field\":\"\",\"risk_object_type\":\"\",\"risk_score\":1}]\naction.risk.param._risk_score = 0\naction.risk.param.verbose = 0\naction.send2uba.param.verbose = 0\naction.threat_add.param.verbose = 0\nalert.suppress = 0\nalert.track = 1\ncounttype = number of events\ncron_schedule = */10 * * * *\ndescription = This rule was automatically generated by AttackIQ Sigma Rules for scenario 'Test Rule'. Please edit the settings for your own environment's needs.\ndispatch.earliest_time = -10m\ndispatch.latest_time = now\ndispatch.rt_backfill = 1\nenableSched = 1\nquantity = 0\nrelation = greater than\nrequest.ui_dispatch_app = SplunkEnterpriseSecuritySuite\nsearch = CommandLine=\"valueA\""
@@ -1601,7 +1601,7 @@
         "\n[Test Rule]\ndescription = A Test Sigma Rule\nsearch = CommandLine=\"valueA\""
       ],
       "data_model": [
-        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.original_file_name Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
+        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
       ],
       "stanza": [
         "[Threat - Test Rule - Rule]\naction.correlationsearch.annotations = {'mitre_attack': ['T1003', 'T1003.001']}\naction.correlationsearch.enabled = 1\naction.correlationsearch.label = Test Rule\naction.customsearchbuilder.enabled = false\naction.makestreams.param.verbose = 0\naction.nbtstat.param.verbose = 0\naction.notable = 1\naction.notable.param.drilldown_name = Test Rule\naction.notable.param.drilldown_search = CommandLine=\"valueA\"\naction.notable.param.rule_description = Generated from AttackIQ Sigma Rule for Scenario 'Test Rule'\naction.notable.param.rule_title = Test Rule\naction.notable.param.security_domain = threat\naction.notable.param.severity = high\naction.notable.param.verbose = 0\naction.nslookup.param.verbose = 0\naction.ping.param.verbose = 0\naction.risk.forceCsvResults = 1\naction.risk.param._risk = [{\"risk_object_field\":\"\",\"risk_object_type\":\"\",\"risk_score\":1}]\naction.risk.param._risk_score = 0\naction.risk.param.verbose = 0\naction.send2uba.param.verbose = 0\naction.threat_add.param.verbose = 0\nalert.suppress = 0\nalert.track = 1\ncounttype = number of events\ncron_schedule = */10 * * * *\ndescription = This rule was automatically generated by AttackIQ Sigma Rules for scenario 'Test Rule'. Please edit the settings for your own environment's needs.\ndispatch.earliest_time = -10m\ndispatch.latest_time = now\ndispatch.rt_backfill = 1\nenableSched = 1\nquantity = 0\nrelation = greater than\nrequest.ui_dispatch_app = SplunkEnterpriseSecuritySuite\nsearch = CommandLine=\"valueA\""
@@ -1615,7 +1615,7 @@
         "\n[Test Rule]\ndescription = A Test Sigma Rule\nsearch = Processes.process=\"valueA\""
       ],
       "data_model": [
-        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.original_file_name Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
+        "| tstats summariesonly=false allow_old_summaries=true fillnull_value=\"null\" count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where Processes.process=\"valueA\" by Processes.process Processes.dest Processes.process_current_directory Processes.process_path Processes.process_integrity_level Processes.parent_process Processes.parent_process_path Processes.parent_process_guid Processes.parent_process_id Processes.process_guid Processes.process_id Processes.user | `drop_dm_object_name(Processes)` | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(firstTime) | convert timeformat=\"%Y-%m-%dT%H:%M:%S\" ctime(lastTime) "
       ],
       "stanza": [
         "[Threat - Test Rule - Rule]\naction.correlationsearch.annotations = {'mitre_attack': ['T1003', 'T1003.001']}\naction.correlationsearch.enabled = 1\naction.correlationsearch.label = Test Rule\naction.customsearchbuilder.enabled = false\naction.makestreams.param.verbose = 0\naction.nbtstat.param.verbose = 0\naction.notable = 1\naction.notable.param.drilldown_name = Test Rule\naction.notable.param.drilldown_search = Processes.process=\"valueA\"\naction.notable.param.rule_description = Generated from AttackIQ Sigma Rule for Scenario 'Test Rule'\naction.notable.param.rule_title = Test Rule\naction.notable.param.security_domain = threat\naction.notable.param.severity = high\naction.notable.param.verbose = 0\naction.nslookup.param.verbose = 0\naction.ping.param.verbose = 0\naction.risk.forceCsvResults = 1\naction.risk.param._risk = [{\"risk_object_field\":\"\",\"risk_object_type\":\"\",\"risk_score\":1}]\naction.risk.param._risk_score = 0\naction.risk.param.verbose = 0\naction.send2uba.param.verbose = 0\naction.threat_add.param.verbose = 0\nalert.suppress = 0\nalert.track = 1\ncounttype = number of events\ncron_schedule = */10 * * * *\ndescription = This rule was automatically generated by AttackIQ Sigma Rules for scenario 'Test Rule'. Please edit the settings for your own environment's needs.\ndispatch.earliest_time = -10m\ndispatch.latest_time = now\ndispatch.rt_backfill = 1\nenableSched = 1\nquantity = 0\nrelation = greater than\nrequest.ui_dispatch_app = SplunkEnterpriseSecuritySuite\nsearch = Processes.process=\"valueA\""

From 687a9326df6c34cae0cdf5058116a19593241c50 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 18 Jul 2024 17:03:37 -0700
Subject: [PATCH 17/47] Update Poetry version and various package versions

This commit updates the version of Poetry used, as well as the versions of several packages. Major changes include the update of the 'annotated-types', 'certifi', and 'coverage' packages. The file hashes have also been updated to match the new versions.
---
 examples/llm_rule_translation_and_creation.py |   3 +-
 poetry.lock                                   | 613 +++++++++---------
 2 files changed, 311 insertions(+), 305 deletions(-)

diff --git a/examples/llm_rule_translation_and_creation.py b/examples/llm_rule_translation_and_creation.py
index 06cf9a0..b3c3e8e 100644
--- a/examples/llm_rule_translation_and_creation.py
+++ b/examples/llm_rule_translation_and_creation.py
@@ -4,9 +4,10 @@
 # %% Import required SigmAIQ classes and functions
 from sigmaiq.llm.toolkits.base import create_sigma_agent
 from sigmaiq.llm.base import SigmaLLM
+from langchain.embeddings import OpenAIEmbeddings
 
 # %% Ensure we have our Sigma vector store setup with our base LLM class
-sigma_llm = SigmaLLM()
+sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
 
 try:
     sigma_llm.load_sigma_vectordb()
diff --git a/poetry.lock b/poetry.lock
index 0638417..ddab6c5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -112,13 +112,13 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [package.dependencies]
@@ -223,13 +223,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
@@ -358,63 +358,63 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.5.1"
+version = "7.6.0"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "coverage-7.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0884920835a033b78d1c73b6d3bbcda8161a900f38a488829a83982925f6c2e"},
-    {file = "coverage-7.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:39afcd3d4339329c5f58de48a52f6e4e50f6578dd6099961cf22228feb25f38f"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a7b0ceee8147444347da6a66be737c9d78f3353b0681715b668b72e79203e4a"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a9ca3f2fae0088c3c71d743d85404cec8df9be818a005ea065495bedc33da35"},
-    {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd215c0c7d7aab005221608a3c2b46f58c0285a819565887ee0b718c052aa4e"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4bf0655ab60d754491004a5efd7f9cccefcc1081a74c9ef2da4735d6ee4a6223"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:61c4bf1ba021817de12b813338c9be9f0ad5b1e781b9b340a6d29fc13e7c1b5e"},
-    {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:db66fc317a046556a96b453a58eced5024af4582a8dbdc0c23ca4dbc0d5b3146"},
-    {file = "coverage-7.5.1-cp310-cp310-win32.whl", hash = "sha256:b016ea6b959d3b9556cb401c55a37547135a587db0115635a443b2ce8f1c7228"},
-    {file = "coverage-7.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:df4e745a81c110e7446b1cc8131bf986157770fa405fe90e15e850aaf7619bc8"},
-    {file = "coverage-7.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:796a79f63eca8814ca3317a1ea443645c9ff0d18b188de470ed7ccd45ae79428"},
-    {file = "coverage-7.5.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4fc84a37bfd98db31beae3c2748811a3fa72bf2007ff7902f68746d9757f3746"},
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 [package.dependencies]
@@ -425,13 +425,13 @@ toml = ["tomli"]
 
 [[package]]
 name = "dataclasses-json"
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 python-versions = "<4.0,>=3.7"
 files = [
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 [package.dependencies]
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 ]
 
 [package.dependencies]
-numpy = "*"
+numpy = ">=1.0,<2.0"
+packaging = "*"
 
 [[package]]
 name = "frozenlist"
@@ -787,13 +788,13 @@ jsonpointer = ">=1.9"
 
 [[package]]
 name = "jsonpointer"
-version = "2.4"
+version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -839,28 +840,21 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-core"
-version = "0.0.13"
+version = "0.0.11"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
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 jsonpatch = ">=1.33,<2.0"
 langsmith = ">=0.0.63,<0.1.0"
-packaging = ">=23.2,<24.0"
 pydantic = ">=1,<3"
-PyYAML = ">=5.3"
-requests = ">=2,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
-[package.extras]
-extended-testing = ["jinja2 (>=3,<4)"]
-
 [[package]]
 name = "langsmith"
 version = "0.0.92"
@@ -947,13 +941,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
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 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1113,13 +1107,13 @@ files = [
 
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-version = "1.30.1"
+version = "1.35.15"
 description = "The official Python library for the openai API"
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 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
@@ -1136,13 +1130,13 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "packaging"
-version = "23.2"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1189,109 +1183,119 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pydantic"
-version = "2.7.1"
+version = "2.8.2"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 [package.dependencies]
@@ -1313,18 +1317,18 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pysigma"
-version = "0.11.5"
+version = "0.11.9"
 description = "Sigma rule processing and conversion tools"
 optional = false
 python-versions = "<4.0,>=3.8"
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 ]
 
 [package.dependencies]
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 pyparsing = ">=3.1,<4.0"
 pyyaml = ">=6.0,<7.0"
 requests = ">=2.31,<3.0"
@@ -1359,13 +1363,13 @@ pysigma = ">=0.9.8"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
-version = "1.1.0"
+version = "1.1.1"
 description = "pySigma Elasticsearch backend supportinhg Lucene, ES|QL (with correlations) and EQL queries"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 [[package]]
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 [[package]]
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+    {file = "SQLAlchemy-2.0.31-py3-none-any.whl", hash = "sha256:69f3e3c08867a8e4856e92d7afb618b95cdee18e0bc1647b77599722c9a28911"},
+    {file = "SQLAlchemy-2.0.31.tar.gz", hash = "sha256:b607489dd4a54de56984a0c7656247504bd5523d9d0ba799aef59d4add009484"},
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
+greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -1867,13 +1872,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "tenacity"
-version = "8.3.0"
+version = "8.5.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tenacity-8.3.0-py3-none-any.whl", hash = "sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185"},
-    {file = "tenacity-8.3.0.tar.gz", hash = "sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2"},
+    {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
+    {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
 ]
 
 [package.extras]
@@ -1965,13 +1970,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.11.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
-    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -1991,13 +1996,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "2.2.1"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
-    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
 ]
 
 [package.extras]
@@ -2111,18 +2116,18 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.18.2"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"},
-    {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"

From 482054d5fda11729f4105e7c36d59980c0b021c2 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 18 Jul 2024 18:03:57 -0700
Subject: [PATCH 18/47] Update langchain version and remove dataclasses-json
 dependency

The langchain dependency is updated from version 0.0.347 to version 0.2.9. The dataclasses-json dependency is removed from poetry.lock. Additional changes include updating dependencies of the langchain packages and adding the langchain-text-splitters package.
---
 poetry.lock    | 187 ++++++++++++++++++++++++++-----------------------
 pyproject.toml |   2 +-
 2 files changed, 100 insertions(+), 89 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index ddab6c5..846e450 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -423,21 +423,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
-[[package]]
-name = "dataclasses-json"
-version = "0.6.7"
-description = "Easily serialize dataclasses to and from JSON."
-optional = false
-python-versions = "<4.0,>=3.7"
-files = [
-    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
-    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
-]
-
-[package.dependencies]
-marshmallow = ">=3.18.0,<4.0.0"
-typing-inspect = ">=0.4.0,<1"
-
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -799,75 +784,75 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.0.347"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.0.347-py3-none-any.whl", hash = "sha256:9f11a716c5c1491dd9b5a2b8d2e052b297f15a673d0c7bc5e5df402b84be2f47"},
-    {file = "langchain-0.0.347.tar.gz", hash = "sha256:ab269564eb1c94215f4f27fd40d63e98862a8672af0f7936ee4c5e92646e047b"},
+    {file = "langchain-0.2.9-py3-none-any.whl", hash = "sha256:be23fcb29adbd5059944f1fed08fa575f0739d420b1c4127531e0fbf5663fcca"},
+    {file = "langchain-0.2.9.tar.gz", hash = "sha256:cc326a7f6347787a19882928c324433b1a79df629bba45604b2d26495ee5d69c"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
-anyio = "<4.0"
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 [package.extras]
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+    {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caff75b425db5ef8e8f23af93c80f072f97b4fb3afd4af44482905c9f588da28"},
+    {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3722fddb821b6036fd2a3c814f6bd9b57a89dc6337b9924ecd614ebce3271394"},
+    {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c2c116072a8533f2fec435fde4d134610f806bdac20188c7bd2081f3e9e0133f"},
+    {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6eeb13218c8cf34c61912e9df2de2853f1d009de0e46ea09ccdf3d757896af0a"},
+    {file = "orjson-3.10.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:965a916373382674e323c957d560b953d81d7a8603fbeee26f7b8248638bd48b"},
+    {file = "orjson-3.10.6-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:03c95484d53ed8e479cade8628c9cea00fd9d67f5554764a1110e0d5aa2de96e"},
+    {file = "orjson-3.10.6-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:e060748a04cccf1e0a6f2358dffea9c080b849a4a68c28b1b907f272b5127e9b"},
+    {file = "orjson-3.10.6-cp38-none-win32.whl", hash = "sha256:738dbe3ef909c4b019d69afc19caf6b5ed0e2f1c786b5d6215fbb7539246e4c6"},
+    {file = "orjson-3.10.6-cp38-none-win_amd64.whl", hash = "sha256:d40f839dddf6a7d77114fe6b8a70218556408c71d4d6e29413bb5f150a692ff7"},
+    {file = "orjson-3.10.6-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:697a35a083c4f834807a6232b3e62c8b280f7a44ad0b759fd4dce748951e70db"},
+    {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd502f96bf5ea9a61cbc0b2b5900d0dd68aa0da197179042bdd2be67e51a1e4b"},
+    {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f215789fb1667cdc874c1b8af6a84dc939fd802bf293a8334fce185c79cd359b"},
+    {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a2debd8ddce948a8c0938c8c93ade191d2f4ba4649a54302a7da905a81f00b56"},
+    {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5410111d7b6681d4b0d65e0f58a13be588d01b473822483f77f513c7f93bd3b2"},
+    {file = "orjson-3.10.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb1f28a137337fdc18384079fa5726810681055b32b92253fa15ae5656e1dddb"},
+    {file = "orjson-3.10.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:bf2fbbce5fe7cd1aa177ea3eab2b8e6a6bc6e8592e4279ed3db2d62e57c0e1b2"},
+    {file = "orjson-3.10.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:79b9b9e33bd4c517445a62b90ca0cc279b0f1f3970655c3df9e608bc3f91741a"},
+    {file = "orjson-3.10.6-cp39-none-win32.whl", hash = "sha256:30b0a09a2014e621b1adf66a4f705f0809358350a757508ee80209b2d8dae219"},
+    {file = "orjson-3.10.6-cp39-none-win_amd64.whl", hash = "sha256:49e3bc615652617d463069f91b867a4458114c5b104e13b7ae6872e5f79d0844"},
+    {file = "orjson-3.10.6.tar.gz", hash = "sha256:e54b63d0a7c6c54a5f5f726bc93a2078111ef060fec4ecbf34c5db800ca3b3a7"},
+]
+
 [[package]]
 name = "packaging"
 version = "24.1"
@@ -1979,21 +2005,6 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
-[[package]]
-name = "typing-inspect"
-version = "0.9.0"
-description = "Runtime inspection utilities for typing module."
-optional = false
-python-versions = "*"
-files = [
-    {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
-    {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
-]
-
-[package.dependencies]
-mypy-extensions = ">=0.3.0"
-typing-extensions = ">=3.7.4"
-
 [[package]]
 name = "urllib3"
 version = "2.2.2"
@@ -2132,4 +2143,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "b50c25f5da0992f2cb0d995483d9a27c976e292bf5ab311a3a8637c9e4c5164b"
+content-hash = "a56032835851366d2155080d99a3aacdf424b1cd7f1ea4a815a95020cf760d60"
diff --git a/pyproject.toml b/pyproject.toml
index 3d1e800..aae98d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,7 +38,7 @@ pysigma-pipeline-crowdstrike = "^1.0.3"
 pysigma-pipeline-sysmon = "^1.0.4"
 pysigma-pipeline-windows = "^1.2.0"
 importlib-resources = "*"
-langchain = "^0.0.347"
+langchain = "0.2.9"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"

From 583ddf7626fb216ad667ce33b075313946438c43 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 18 Jul 2024 20:38:49 -0700
Subject: [PATCH 19/47] Update anyio version and dependencies

The anyio package version is updated from 3.7.1 to 4.4.0. Along with this change, the Python versions requirement is increased to >=3.8, with updates to the file hash. Adjustments have also been made to package dependencies and extras, including requirement specification for exceptiongroup and typing-extensions, as well as updates to Sphinx, coverage and trio version in extras.
---
 poetry.lock | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 846e450..277324e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -126,24 +126,25 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.4.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"},
-    {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
+    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
+    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "async-timeout"

From 4c5e812f8dcaaed97bc185fe7ec8b78cb10aa2c8 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 18 Jul 2024 21:20:52 -0700
Subject: [PATCH 20/47] Update instances of field.required to field.is_required
 in the LangChain library, particularly in the _create_subset_model function
 and similar contexts.

Update anyio version and dependencies

The anyio package version is updated from 3.7.1 to 4.4.0. Along with this change, the Python versions requirement is increased to >=3.8, with updates to the file hash. Adjustments have also been made to package dependencies and extras, including requirement specification for exceptiongroup and typing-extensions, as well as updates to Sphinx, coverage and trio version in extras.
---
 examples/llm_basic_usage.py                   |   2 +-
 examples/llm_rule_translation_and_creation.py |   2 +-
 poetry.lock                                   | 263 +++++++++---------
 pyproject.toml                                |   4 +
 sigmaiq/llm/base.py                           |  10 +-
 sigmaiq/llm/toolkits/base.py                  |   6 +-
 6 files changed, 153 insertions(+), 134 deletions(-)

diff --git a/examples/llm_basic_usage.py b/examples/llm_basic_usage.py
index c5a673f..3ad4605 100644
--- a/examples/llm_basic_usage.py
+++ b/examples/llm_basic_usage.py
@@ -16,7 +16,7 @@
 from sigmaiq.llm.base import SigmaLLM
 
 # %% Create a SigmaLLM object with default settings. See the class docstring for more information
-from langchain.embeddings import OpenAIEmbeddings
+from langchain_openai import OpenAIEmbeddings
 sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
 
 # %% The `create_sigma_vectordb()` method will automatically do all the work for you :) (only run this once)
diff --git a/examples/llm_rule_translation_and_creation.py b/examples/llm_rule_translation_and_creation.py
index b3c3e8e..3e75ab5 100644
--- a/examples/llm_rule_translation_and_creation.py
+++ b/examples/llm_rule_translation_and_creation.py
@@ -4,7 +4,7 @@
 # %% Import required SigmAIQ classes and functions
 from sigmaiq.llm.toolkits.base import create_sigma_agent
 from sigmaiq.llm.base import SigmaLLM
-from langchain.embeddings import OpenAIEmbeddings
+from langchain_openai import OpenAIEmbeddings
 
 # %% Ensure we have our Sigma vector store setup with our base LLM class
 sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
diff --git a/poetry.lock b/poetry.lock
index 277324e..66d81f8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -110,20 +110,6 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
 [[package]]
 name = "anyio"
 version = "4.4.0"
@@ -424,6 +410,21 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "dataclasses-json"
+version = "0.6.7"
+description = "Easily serialize dataclasses to and from JSON."
+optional = false
+python-versions = "<4.0,>=3.7"
+files = [
+    {file = "dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a"},
+    {file = "dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0"},
+]
+
+[package.dependencies]
+marshmallow = ">=3.18.0,<4.0.0"
+typing-inspect = ">=0.4.0,<1"
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -807,6 +808,29 @@ requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
+[[package]]
+name = "langchain-community"
+version = "0.2.7"
+description = "Community contributed LangChain integrations."
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
+    {file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.3,<4.0.0"
+dataclasses-json = ">=0.5.7,<0.7"
+langchain = ">=0.2.7,<0.3.0"
+langchain-core = ">=0.2.12,<0.3.0"
+langsmith = ">=0.1.0,<0.2.0"
+numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+SQLAlchemy = ">=1.4,<3"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+
 [[package]]
 name = "langchain-core"
 version = "0.2.21"
@@ -826,6 +850,22 @@ pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
+[[package]]
+name = "langchain-openai"
+version = "0.1.17"
+description = "An integration package connecting OpenAI and LangChain"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
+    {file = "langchain_openai-0.1.17-py3-none-any.whl", hash = "sha256:30bef5574ecbbbb91b8025b2dc5a1bd81fd62157d3ad1a35d820141f31c5b443"},
+    {file = "langchain_openai-0.1.17.tar.gz", hash = "sha256:c5d70ddecdcb93e146f376bdbadbb6ec69de9ac0f402cd5b83de50b655ba85ee"},
+]
+
+[package.dependencies]
+langchain-core = ">=0.2.20,<0.3.0"
+openai = ">=1.32.0,<2.0.0"
+tiktoken = ">=0.7,<1"
+
 [[package]]
 name = "langchain-text-splitters"
 version = "0.2.2"
@@ -925,6 +965,25 @@ files = [
     {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
 
+[[package]]
+name = "marshmallow"
+version = "3.21.3"
+description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
+    {file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
+]
+
+[package.dependencies]
+packaging = ">=17.0"
+
+[package.extras]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+tests = ["pytest", "pytz", "simplejson"]
+
 [[package]]
 name = "multidict"
 version = "6.0.5"
@@ -1210,123 +1269,62 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pydantic"
-version = "2.8.2"
-description = "Data validation using Python type hints"
+version = "1.10.17"
+description = "Data validation and settings management using python type hints"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
-    {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
+    {file = "pydantic-1.10.17-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0fa51175313cc30097660b10eec8ca55ed08bfa07acbfe02f7a42f6c242e9a4b"},
+    {file = "pydantic-1.10.17-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7e8988bb16988890c985bd2093df9dd731bfb9d5e0860db054c23034fab8f7a"},
+    {file = "pydantic-1.10.17-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:371dcf1831f87c9e217e2b6a0c66842879a14873114ebb9d0861ab22e3b5bb1e"},
+    {file = "pydantic-1.10.17-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4866a1579c0c3ca2c40575398a24d805d4db6cb353ee74df75ddeee3c657f9a7"},
+    {file = "pydantic-1.10.17-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:543da3c6914795b37785703ffc74ba4d660418620cc273490d42c53949eeeca6"},
+    {file = "pydantic-1.10.17-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7623b59876f49e61c2e283551cc3647616d2fbdc0b4d36d3d638aae8547ea681"},
+    {file = "pydantic-1.10.17-cp310-cp310-win_amd64.whl", hash = "sha256:409b2b36d7d7d19cd8310b97a4ce6b1755ef8bd45b9a2ec5ec2b124db0a0d8f3"},
+    {file = "pydantic-1.10.17-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fa43f362b46741df8f201bf3e7dff3569fa92069bcc7b4a740dea3602e27ab7a"},
+    {file = "pydantic-1.10.17-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2a72d2a5ff86a3075ed81ca031eac86923d44bc5d42e719d585a8eb547bf0c9b"},
+    {file = "pydantic-1.10.17-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4ad32aed3bf5eea5ca5decc3d1bbc3d0ec5d4fbcd72a03cdad849458decbc63"},
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-    {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
-]
-
-[package.dependencies]
-typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+dotenv = ["python-dotenv (>=0.10.4)"]
+email = ["email-validator (>=1.0.3)"]
 
 [[package]]
 name = "pyparsing"
@@ -2006,6 +2004,21 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
+[[package]]
+name = "typing-inspect"
+version = "0.9.0"
+description = "Runtime inspection utilities for typing module."
+optional = false
+python-versions = "*"
+files = [
+    {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
+    {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.3.0"
+typing-extensions = ">=3.7.4"
+
 [[package]]
 name = "urllib3"
 version = "2.2.2"
@@ -2144,4 +2157,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "a56032835851366d2155080d99a3aacdf424b1cd7f1ea4a815a95020cf760d60"
+content-hash = "226ae77c19e444d55c64be9864706e149a5a6de32a480a1970280b2c2b139825"
diff --git a/pyproject.toml b/pyproject.toml
index aae98d4..19980d8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,6 +42,10 @@ langchain = "0.2.9"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"
+langchain-community = "^0.2.7"
+langchain-openai = "^0.1.17"
+pydantic = "<2.0.0"
+
 
 [tool.poetry.dev-dependencies]
 pytest = "*"
diff --git a/sigmaiq/llm/base.py b/sigmaiq/llm/base.py
index 52b14ed..c94de47 100644
--- a/sigmaiq/llm/base.py
+++ b/sigmaiq/llm/base.py
@@ -7,15 +7,16 @@
 from sigmaiq.globals import DEFAULT_DIRS
 
 # langchain
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
-from langchain.document_loaders import DirectoryLoader, TextLoader
+from langchain_openai import OpenAIEmbeddings
+from langchain_community.vectorstores import FAISS
+from langchain_community.document_loaders import DirectoryLoader, TextLoader
 from langchain.text_splitter import CharacterTextSplitter
 
 # langchain typing
 from langchain.schema.embeddings import Embeddings
 from langchain.schema.vectorstore import VectorStore
-from langchain.document_loaders.base import BaseLoader, Document
+from langchain.docstore.document import Document
+from langchain.document_loaders.base import BaseLoader
 from langchain.schema.document import BaseDocumentTransformer
 
 
@@ -79,6 +80,7 @@ def load_sigma_vectordb(self):
             self.sigmadb = self.vector_store.load_local(  # CHANGE ME IF NEEDED
                 folder_path=self.vector_store_dir,
                 embeddings=self.embedding_function,
+                allow_dangerous_deserialization=True,
             )
         except Exception as e:
             raise e
diff --git a/sigmaiq/llm/toolkits/base.py b/sigmaiq/llm/toolkits/base.py
index 01977bd..c80cbbb 100644
--- a/sigmaiq/llm/toolkits/base.py
+++ b/sigmaiq/llm/toolkits/base.py
@@ -7,9 +7,9 @@
 from langchain.agents.agent import AgentExecutor
 from langchain.agents.format_scratchpad import format_to_openai_function_messages
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 from langchain.prompts import ChatPromptTemplate
-from langchain.tools.render import format_tool_to_openai_function
+from langchain_core.utils.function_calling import convert_to_openai_function
 
 # langchain typing
 from langchain.schema import (
@@ -60,7 +60,7 @@ def create_sigma_agent(
     tools = toolkit(sigmadb=sigma_vectorstore, rule_creation_llm=rule_creation_llm).get_tools()
 
     # Create OpenAI Function for each tool for the agent LLM, so we can create an OpenAI Function AgentExecutor
-    llm_with_tools = agent_llm.bind(functions=[format_tool_to_openai_function(t) for t in tools])
+    llm_with_tools = agent_llm.bind(functions=[convert_to_openai_function(t) for t in tools])
 
     # Create the agent
     agent = (

From 8293c0a841417b2269d1f62f95f7fcb292e0337b Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Fri, 19 Jul 2024 12:12:46 -0700
Subject: [PATCH 21/47] pinning langchain-core to 0.2.20 to fix mitigation bot
 issue.

Update package versions and dependencies

The openai and pydantic versions have been updated. The 'langchain-core' version has been downgraded. There's also an added dependency 'annotated-types'. This commit adjusts these dependencies to ensure compatibility and stability.
---
 poetry.lock    | 187 ++++++++++++++++++++++++++++++++++---------------
 pyproject.toml |   4 +-
 2 files changed, 133 insertions(+), 58 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 66d81f8..e0426e4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -110,6 +110,20 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "4.4.0"
@@ -833,13 +847,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.21"
+version = "0.2.20"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.21-py3-none-any.whl", hash = "sha256:805b1f53e0e2424b83e3673cba1c9354105c5a5e4a1d0d768b1e70d8ac0d604d"},
-    {file = "langchain_core-0.2.21.tar.gz", hash = "sha256:3d1e28179a5d496b900ebef45e1471eaae9fb63fc570f89ded78b026fd08ba84"},
+    {file = "langchain_core-0.2.20-py3-none-any.whl", hash = "sha256:16cc4da6f7ebf33accea7af45a70480733dc852ab291030fb6924865bd7caf76"},
+    {file = "langchain_core-0.2.20.tar.gz", hash = "sha256:a66c439e085d8c75f822f7650a5551d17bada4003521173c763d875d949e4ed5"},
 ]
 
 [package.dependencies]
@@ -1133,13 +1147,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.35.15"
+version = "1.36.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.35.15-py3-none-any.whl", hash = "sha256:1b9a6ada4239b91f38f51c426c6ee2746a2069c92cbf25ed8694e5ec00ff4597"},
-    {file = "openai-1.35.15.tar.gz", hash = "sha256:307007e2036d57115612c1ecb50e9bc98fcc93537109a9f9efa1b4eedb2ea968"},
+    {file = "openai-1.36.0-py3-none-any.whl", hash = "sha256:82b74ded1fe2ea94abb19a007178bc143675f1b6903cebd63e2968d654bb0a6f"},
+    {file = "openai-1.36.0.tar.gz", hash = "sha256:a124baf0e1657d6156e12248642f88489cd030be8655b69bc1c13eb50e71a93d"},
 ]
 
 [package.dependencies]
@@ -1269,62 +1283,123 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pydantic"
-version = "1.10.17"
-description = "Data validation and settings management using python type hints"
+version = "2.8.2"
+description = "Data validation using Python type hints"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"},
+    {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pyparsing"
@@ -2157,4 +2232,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "226ae77c19e444d55c64be9864706e149a5a6de32a480a1970280b2c2b139825"
+content-hash = "3df8017f2325c22739f21ee69ca05ad657bc0531e40b520b97d11ddabdada77b"
diff --git a/pyproject.toml b/pyproject.toml
index 19980d8..fb3268a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,13 +38,13 @@ pysigma-pipeline-crowdstrike = "^1.0.3"
 pysigma-pipeline-sysmon = "^1.0.4"
 pysigma-pipeline-windows = "^1.2.0"
 importlib-resources = "*"
-langchain = "0.2.9"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"
+langchain = "0.2.9"
 langchain-community = "^0.2.7"
 langchain-openai = "^0.1.17"
-pydantic = "<2.0.0"
+langchain-core = "0.2.20"
 
 
 [tool.poetry.dev-dependencies]

From ab26519afc1087b94670a61360a8dabcbbb08161 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 1 Aug 2024 09:42:32 -0700
Subject: [PATCH 22/47] Update all langchain deps and remove pinned langchain
 core.

Update aiohttp to 3.10.0 and add aiohappyeyeballs dependency

Upgraded aiohttp from version 3.9.5 to 3.10.0 to ensure compatibility with newer dependencies and improvements. Added aiohappyeyeballs version 2.3.4 to enhance DNS resolution performance when using asyncio.
---
 poetry.lock    | 261 ++++++++++++++++++++++++++-----------------------
 pyproject.toml |   4 +-
 2 files changed, 139 insertions(+), 126 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index e0426e4..f918235 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,91 +1,103 @@
 # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.4"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.4-py3-none-any.whl", hash = "sha256:40a16ceffcf1fc9e142fd488123b2e218abc4188cf12ac20c67200e1579baa42"},
+    {file = "aiohappyeyeballs-2.3.4.tar.gz", hash = "sha256:7e1ae8399c320a8adec76f6c919ed5ceae6edd4c3672f4d9eae2b27e37c80ff6"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.5"
+version = "3.10.0"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.10.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6612c6ed3147a4a2d6463454b94b877566b38215665be4c729cd8b7bdce15b4"},
+    {file = "aiohttp-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0b0c0148d2a69b82ffe650c2ce235b431d49a90bde7dd2629bcb40314957acf6"},
+    {file = "aiohttp-3.10.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:0d85a173b4dbbaaad1900e197181ea0fafa617ca6656663f629a8a372fdc7d06"},
+    {file = "aiohttp-3.10.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:12c43dace645023583f3dd2337dfc3aa92c99fb943b64dcf2bc15c7aa0fb4a95"},
+    {file = "aiohttp-3.10.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:33acb0d9bf12cdc80ceec6f5fda83ea7990ce0321c54234d629529ca2c54e33d"},
+    {file = "aiohttp-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:91e0b76502205484a4d1d6f25f461fa60fe81a7987b90e57f7b941b0753c3ec8"},
+    {file = "aiohttp-3.10.0-cp39-cp39-win32.whl", hash = "sha256:1ebd8ed91428ffbe8b33a5bd6f50174e11882d5b8e2fe28670406ab5ee045ede"},
+    {file = "aiohttp-3.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:0433795c4a8bafc03deb3e662192250ba5db347c41231b0273380d2f53c9ea0b"},
+    {file = "aiohttp-3.10.0.tar.gz", hash = "sha256:e8dd7da2609303e3574c95b0ec9f1fd49647ef29b94701a2862cceae76382e1d"},
 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -94,7 +106,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -800,19 +812,19 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.9"
+version = "0.2.11"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.9-py3-none-any.whl", hash = "sha256:be23fcb29adbd5059944f1fed08fa575f0739d420b1c4127531e0fbf5663fcca"},
-    {file = "langchain-0.2.9.tar.gz", hash = "sha256:cc326a7f6347787a19882928c324433b1a79df629bba45604b2d26495ee5d69c"},
+    {file = "langchain-0.2.11-py3-none-any.whl", hash = "sha256:5a7a8b4918f3d3bebce9b4f23b92d050699e6f7fb97591e8941177cf07a260a2"},
+    {file = "langchain-0.2.11.tar.gz", hash = "sha256:d7a9e4165f02dca0bd78addbc2319d5b9286b5d37c51d784124102b57e9fd297"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.20,<0.3.0"
+langchain-core = ">=0.2.23,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
@@ -824,20 +836,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.7"
+version = "0.2.10"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.7-py3-none-any.whl", hash = "sha256:c236e74249ab68a318c94c95327cbe75a76489b61f7bf93f14117d9233ce70b1"},
-    {file = "langchain_community-0.2.7.tar.gz", hash = "sha256:f52659dbb8a8f0c011cc7d634247686d11d768843cc3e5fe9e6f52321cde82c0"},
+    {file = "langchain_community-0.2.10-py3-none-any.whl", hash = "sha256:9f4d1b5ab7f0b0a704f538e26e50fce45a461da6d2bf6b7b636d24f22fbc088a"},
+    {file = "langchain_community-0.2.10.tar.gz", hash = "sha256:3a0404bad4bd07d6f86affdb62fb3d080a456c66191754d586a409d9d6024d62"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.7,<0.3.0"
-langchain-core = ">=0.2.12,<0.3.0"
+langchain = ">=0.2.9,<0.3.0"
+langchain-core = ">=0.2.23,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
@@ -847,13 +859,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.20"
+version = "0.2.26"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.20-py3-none-any.whl", hash = "sha256:16cc4da6f7ebf33accea7af45a70480733dc852ab291030fb6924865bd7caf76"},
-    {file = "langchain_core-0.2.20.tar.gz", hash = "sha256:a66c439e085d8c75f822f7650a5551d17bada4003521173c763d875d949e4ed5"},
+    {file = "langchain_core-0.2.26-py3-none-any.whl", hash = "sha256:ab7bc58d8037349d06ad8c3eee2ea776e26af7f57cce330eecbed5b98e1c4d56"},
+    {file = "langchain_core-0.2.26.tar.gz", hash = "sha256:20c7792eb6c256dc50892d41f07f7fd8e12e5868dbb059fa316a278977bdf4f6"},
 ]
 
 [package.dependencies]
@@ -863,20 +875,21 @@ packaging = ">=23.2,<25"
 pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.17"
+version = "0.1.20"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.1.17-py3-none-any.whl", hash = "sha256:30bef5574ecbbbb91b8025b2dc5a1bd81fd62157d3ad1a35d820141f31c5b443"},
-    {file = "langchain_openai-0.1.17.tar.gz", hash = "sha256:c5d70ddecdcb93e146f376bdbadbb6ec69de9ac0f402cd5b83de50b655ba85ee"},
+    {file = "langchain_openai-0.1.20-py3-none-any.whl", hash = "sha256:232ebfe90b1898ef7cf181e364d45191edcf04bfc31b292ecaa1d2121942c28e"},
+    {file = "langchain_openai-0.1.20.tar.gz", hash = "sha256:2c91e9f771541076b138e65dd4c5427b26957a2272406a7f4ee747d7896f9b35"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.20,<0.3.0"
+langchain-core = ">=0.2.26,<0.3.0"
 openai = ">=1.32.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -896,13 +909,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.92"
+version = "0.1.95"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.92-py3-none-any.whl", hash = "sha256:8acb27844ff5263bde14b23425f83ee63996f4d5a8e9998cdeef07fd913137ff"},
-    {file = "langsmith-0.1.92.tar.gz", hash = "sha256:681a613a4dc8c8e57c8961c347a39ffcb64d6c697e8ddde1fd8458fcfaef6c13"},
+    {file = "langsmith-0.1.95-py3-none-any.whl", hash = "sha256:7f490af411597f87af7893b0a42519c442d6ca2517483344c4f55ccdc3136dde"},
+    {file = "langsmith-0.1.95.tar.gz", hash = "sha256:2dc987a640939c0eccb41b7acc31216a7c9b38e1deb62079d1ecaed0897eea67"},
 ]
 
 [package.dependencies]
@@ -1147,13 +1160,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.36.0"
+version = "1.37.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.36.0-py3-none-any.whl", hash = "sha256:82b74ded1fe2ea94abb19a007178bc143675f1b6903cebd63e2968d654bb0a6f"},
-    {file = "openai-1.36.0.tar.gz", hash = "sha256:a124baf0e1657d6156e12248642f88489cd030be8655b69bc1c13eb50e71a93d"},
+    {file = "openai-1.37.1-py3-none-any.whl", hash = "sha256:9a6adda0d6ae8fce02d235c5671c399cfa40d6a281b3628914c7ebf244888ee3"},
+    {file = "openai-1.37.1.tar.gz", hash = "sha256:faf87206785a6b5d9e34555d6a3242482a6852bc802e453e2a891f68ee04ce55"},
 ]
 
 [package.dependencies]
@@ -1624,13 +1637,13 @@ pysigma = ">=0.11,<0.12"
 
 [[package]]
 name = "pytest"
-version = "8.2.2"
+version = "8.3.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"},
-    {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"},
+    {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
+    {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
 ]
 
 [package.dependencies]
@@ -1638,7 +1651,7 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
 exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=1.5,<2.0"
+pluggy = ">=1.5,<2"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
@@ -1847,29 +1860,29 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
-version = "0.5.3"
+version = "0.5.5"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "ruff-0.5.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b8d72c5684bbd4ed304a9a955ee2e67f57b35f6193222ade910cca8a805490e3"},
-    {file = "ruff-0.5.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d2fc2cdb85ccac1e816cc9d5d8cedefd93661bd957756d902543af32a6b04a71"},
-    {file = "ruff-0.5.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf4bc751240b2fab5d19254571bcacb315c7b0b00bf3c912d52226a82bbec073"},
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+    {file = "ruff-0.5.5-py3-none-win32.whl", hash = "sha256:696f18463b47a94575db635ebb4c178188645636f05e934fdf361b74edf1bb2d"},
+    {file = "ruff-0.5.5-py3-none-win_amd64.whl", hash = "sha256:50f36d77f52d4c9c2f1361ccbfbd09099a1b2ea5d2b2222c586ab08885cf3445"},
+    {file = "ruff-0.5.5-py3-none-win_arm64.whl", hash = "sha256:3191317d967af701f1b73a31ed5788795936e423b7acce82a2b63e26eb3e89d6"},
+    {file = "ruff-0.5.5.tar.gz", hash = "sha256:cc5516bdb4858d972fbc31d246bdb390eab8df1a26e2353be2dbc0c2d7f5421a"},
 ]
 
 [[package]]
@@ -2232,4 +2245,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "3df8017f2325c22739f21ee69ca05ad657bc0531e40b520b97d11ddabdada77b"
+content-hash = "f21bc6f1ea6fbdf0e735a9023d6b26a863bc55095a10ccbb169da931b5471ef6"
diff --git a/pyproject.toml b/pyproject.toml
index fb3268a..9bca4f7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,10 +41,10 @@ importlib-resources = "*"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"
-langchain = "0.2.9"
+langchain = "^0.2.9"
 langchain-community = "^0.2.7"
 langchain-openai = "^0.1.17"
-langchain-core = "0.2.20"
+langchain-core = "^0.2.20"
 
 
 [tool.poetry.dev-dependencies]

From 844899546d08cf8c200fc36554f6025b15ec2edd Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Wed, 4 Sep 2024 14:43:00 -0700
Subject: [PATCH 23/47] Update dependencies in poetry.lock

langchain and few others.
---
 poetry.lock | 1118 ++++++++++++++++++++++++++++-----------------------
 1 file changed, 622 insertions(+), 496 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index f918235..2a616e0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,98 +2,113 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.3.4"
+version = "2.4.0"
 description = "Happy Eyeballs for asyncio"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = ">=3.8"
 files = [
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-    {file = "aiohappyeyeballs-2.3.4.tar.gz", hash = "sha256:7e1ae8399c320a8adec76f6c919ed5ceae6edd4c3672f4d9eae2b27e37c80ff6"},
+    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.0"
+version = "3.10.5"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -171,52 +186,52 @@ files = [
 
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+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
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 [package.extras]
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-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
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-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
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+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
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+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "black"
-version = "24.4.2"
+version = "24.8.0"
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 [package.dependencies]
@@ -706,13 +741,13 @@ trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.0"
+version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -727,35 +762,40 @@ brotli = ["brotli", "brotlicffi"]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "idna"
-version = "3.7"
+version = "3.8"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.0"
+version = "6.4.4"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.8"
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 [package.extras]
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+type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
@@ -785,6 +825,76 @@ MarkupSafe = ">=2.0"
 [package.extras]
 i18n = ["Babel (>=2.7)"]
 
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+]
+
 [[package]]
 name = "jsonpatch"
 version = "1.33"
@@ -812,19 +922,19 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.11"
+version = "0.2.16"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "langchain-0.2.16.tar.gz", hash = "sha256:ffb426a76a703b73ac69abad77cd16eaf03dda76b42cff55572f592d74944166"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.23,<0.3.0"
+langchain-core = ">=0.2.38,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
@@ -836,20 +946,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.10"
+version = "0.2.16"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.9,<0.3.0"
-langchain-core = ">=0.2.23,<0.3.0"
+langchain = ">=0.2.16,<0.3.0"
+langchain-core = ">=0.2.38,<0.3.0"
 langsmith = ">=0.1.0,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
@@ -859,13 +969,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.26"
+version = "0.2.38"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -879,46 +989,47 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.20"
+version = "0.1.23"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
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-openai = ">=1.32.0,<2.0.0"
+langchain-core = ">=0.2.35,<0.3.0"
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 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.2.2"
+version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 [[package]]
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+version = "0.1.112"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 requests = ">=2,<3"
@@ -994,13 +1105,13 @@ files = [
 
 [[package]]
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-version = "3.21.3"
+version = "3.22.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1008,7 +1119,7 @@ packaging = ">=17.0"
 
 [package.extras]
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 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -1160,85 +1271,92 @@ files = [
 
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+version = "1.43.0"
 description = "The official Python library for the openai API"
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 httpx = ">=0.23.0,<1"
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 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.7,<5"
+typing-extensions = ">=4.11,<5"
 
 [package.extras]
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 [[package]]
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 [[package]]
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-version = "3.1.2"
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 [package.extras]
@@ -1430,13 +1548,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
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+version = "0.11.12"
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 [[package]]
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 [package.dependencies]
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 ]
 
 [package.dependencies]
@@ -2229,18 +2351,22 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.19.2"
+version = "3.20.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
+    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
 ]
 
 [package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"

From f62990b6841af9cf6b7037439e4745ed2d3bf8aa Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 12 Sep 2024 17:41:30 -0700
Subject: [PATCH 24/47] Update dependencies.

---
 poetry.lock | 794 ++++++++++++++++++++++++++--------------------------
 1 file changed, 404 insertions(+), 390 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 2a616e0..3e892a4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -638,69 +638,77 @@ files = [
 
 [[package]]
 name = "greenlet"
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+version = "3.1.0"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
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@@ -777,13 +785,13 @@ files = [
 
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+version = "6.4.5"
 description = "Read resources from Python packages"
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 pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
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+
 [[package]]
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@@ -1271,13 +1284,13 @@ files = [
 
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+version = "1.45.0"
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@@ -1414,119 +1427,120 @@ testing = ["pytest", "pytest-benchmark"]
 
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 [package.dependencies]
@@ -1548,13 +1562,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
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+version = "0.11.13"
 description = "Sigma rule processing and conversion tools"
 optional = false
 python-versions = "<4.0,>=3.8"
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 [package.dependencies]
@@ -1566,13 +1580,13 @@ requests = ">=2.31,<3.0"
 
 [[package]]
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+version = "0.1.8"
 description = "pySigma carbonblack backend"
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 [package.dependencies]
@@ -1755,13 +1769,13 @@ pysigma = ">=0.11,<0.12"
 
 [[package]]
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-version = "8.3.2"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
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 python-versions = ">=3.8"
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 [package.dependencies]
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 [[package]]
@@ -2229,13 +2243,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
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-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -2246,103 +2260,103 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
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+version = "1.11.1"
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 ]
 
 [package.dependencies]

From c95154b5ddcbc8f47a2f1b23d6fe73c584026227 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 19 Sep 2024 17:59:45 -0700
Subject: [PATCH 25/47] Right before adding streaming support to ava.

Update dependencies in poetry.lock

Upgraded various packages including anyio, idna, langchain, openai, platformdirs, and pydantic to their latest versions. Adjusted version constraints for Sphinx, trio, and added new extras for idna package.
---
 poetry.lock | 401 ++++++++++++++++++++++++++--------------------------
 1 file changed, 202 insertions(+), 199 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 3e892a4..3d8c532 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -153,13 +153,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.5.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
+    {file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
 ]
 
 [package.dependencies]
@@ -169,9 +169,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "async-timeout"
@@ -774,15 +774,18 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
-    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "importlib-resources"
 version = "6.4.5"
@@ -954,21 +957,21 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.16"
+version = "0.2.17"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.16-py3-none-any.whl", hash = "sha256:115e1419c176091d4e00240cb5a38612a249e70f213516b6cacae61a8794a868"},
-    {file = "langchain_community-0.2.16.tar.gz", hash = "sha256:ab416b793a7aed1fa46ebaffd29993296b02286a99819eabc43be2ea8e41ae78"},
+    {file = "langchain_community-0.2.17-py3-none-any.whl", hash = "sha256:d07c31b641e425fb8c3e7148ad6a62e1b54a9adac6e1173021a7dd3148266063"},
+    {file = "langchain_community-0.2.17.tar.gz", hash = "sha256:b0745c1fcf1bd532ed4388f90b47139d6a6c6ba48a87aa68aa32d4d6bb97259d"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
 langchain = ">=0.2.16,<0.3.0"
-langchain-core = ">=0.2.38,<0.3.0"
-langsmith = ">=0.1.0,<0.2.0"
+langchain-core = ">=0.2.39,<0.3.0"
+langsmith = ">=0.1.112,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -977,13 +980,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.39"
+version = "0.2.41"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.39-py3-none-any.whl", hash = "sha256:5a5ad4e1c02d13e7021c026b2c7965069ad71ef67b018274cd52bab56e39143e"},
-    {file = "langchain_core-0.2.39.tar.gz", hash = "sha256:73d7b6f0b0212bc8069c3640d69e8d75faa51097784019ffa5c36c617c04acb0"},
+    {file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
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 [package.dependencies]
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 [[package]]
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 ]
 
 [package.dependencies]
@@ -2365,13 +2368,13 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.1"
+version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]

From 4ba21fabb8b90d8a981ee614e67fd62b2c93bac4 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sun, 29 Sep 2024 10:54:27 -0700
Subject: [PATCH 26/47] Update aiohappyeyeballs and aiohttp dependencies

Upgraded aiohappyeyeballs from version 2.4.0 to 2.4.2, and aiohttp from version 3.10.5 to 3.10.8. These updates improve performance, fix bugs, and ensure compatibility with the latest features.
---
 poetry.lock | 569 ++++++++++++++++++++++++++--------------------------
 1 file changed, 288 insertions(+), 281 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 3d8c532..69ea0a7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,113 +2,113 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.0"
+version = "2.4.2"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+    {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"},
+    {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.5"
+version = "3.10.8"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -118,7 +118,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -638,77 +638,84 @@ files = [
 
 [[package]]
 name = "greenlet"
-version = "3.1.0"
+version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
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@@ -1030,13 +1037,13 @@ langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
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-version = "0.1.124"
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 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 [package.dependencies]
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 ]
 
 [[package]]
@@ -2263,103 +2270,103 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "yarl"
-version = "1.11.1"
+version = "1.13.1"
 description = "Yet another URL library"
 optional = false
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 ]
 
 [package.dependencies]

From 2a49864b97345369a6b8ee5a55eab82ca6a96cd5 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Wed, 2 Oct 2024 17:51:43 -0700
Subject: [PATCH 27/47] Update package versions in poetry.lock

Updated versions for aiohappyeyeballs, httpcore, langsmith, openai, and tomli to their latest releases. Also added requests-toolbelt as a new dependency for langsmith. These changes ensure compatibility and include various improvements and bug fixes.
---
 poetry.lock | 49 ++++++++++++++++++++++++++++++++-----------------
 1 file changed, 32 insertions(+), 17 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 69ea0a7..caa01e8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.2"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"},
-    {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
@@ -735,13 +735,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
-    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
+    {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
+    {file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
 ]
 
 [package.dependencies]
@@ -752,7 +752,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
@@ -1037,13 +1037,13 @@ langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.129"
+version = "0.1.130"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.129-py3-none-any.whl", hash = "sha256:31393fbbb17d6be5b99b9b22d530450094fab23c6c37281a6a6efb2143d05347"},
-    {file = "langsmith-0.1.129.tar.gz", hash = "sha256:6c3ba66471bef41b9f87da247cc0b493268b3f54656f73648a256a205261b6a0"},
+    {file = "langsmith-0.1.130-py3-none-any.whl", hash = "sha256:acf27d77e699d84b03045f3f226e78be1dffb3e756aa1a085f9993a45380e8b2"},
+    {file = "langsmith-0.1.130.tar.gz", hash = "sha256:3e43f87655a86395133e3a745d5968667d4d05dc9a24c617f89224c8cbf54dce"},
 ]
 
 [package.dependencies]
@@ -1051,6 +1051,7 @@ httpx = ">=0.23.0,<1"
 orjson = ">=3.9.14,<4.0.0"
 pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 requests = ">=2,<3"
+requests-toolbelt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "markupsafe"
@@ -1294,13 +1295,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.50.2"
+version = "1.51.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.50.2-py3-none-any.whl", hash = "sha256:822dd2051baa3393d0d5406990611975dd6f533020dc9375a34d4fe67e8b75f7"},
-    {file = "openai-1.50.2.tar.gz", hash = "sha256:3987ae027152fc8bea745d60b02c8f4c4a76e1b5c70e73565fa556db6f78c9e6"},
+    {file = "openai-1.51.0-py3-none-any.whl", hash = "sha256:d9affafb7e51e5a27dce78589d4964ce4d6f6d560307265933a94b2e3f3c5d2c"},
+    {file = "openai-1.51.0.tar.gz", hash = "sha256:8dc4f9d75ccdd5466fc8c99a952186eddceb9fd6ba694044773f3736a847149d"},
 ]
 
 [package.dependencies]
@@ -2002,6 +2003,20 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-toolbelt"
+version = "1.0.0"
+description = "A utility belt for advanced users of python-requests"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"},
+    {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"},
+]
+
+[package.dependencies]
+requests = ">=2.0.1,<3.0.0"
+
 [[package]]
 name = "ruff"
 version = "0.6.8"
@@ -2196,13 +2211,13 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
+    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
 ]
 
 [[package]]

From 096eac5bfe79d4d54301e18b2a2d678f60700a0f Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 5 Oct 2024 18:14:34 -0700
Subject: [PATCH 28/47] Update aiohttp version in poetry.lock

Upgraded aiohttp from version 3.10.8 to 3.10.9. This update includes new wheel files for different platforms, ensuring improved compatibility and bug fixes.
---
 poetry.lock | 228 ++++++++++++++++++++++++++--------------------------
 1 file changed, 114 insertions(+), 114 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index caa01e8..873ba06 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,102 +13,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.8"
+version = "3.10.9"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.10.9-cp39-cp39-win_amd64.whl", hash = "sha256:9fdf5c839bf95fc67be5794c780419edb0dbef776edcfc6c2e5e2ffd5ee755fa"},
+    {file = "aiohttp-3.10.9.tar.gz", hash = "sha256:143b0026a9dab07a05ad2dd9e46aa859bffdd6348ddc5967b42161168c24f857"},
 ]
 
 [package.dependencies]
@@ -1037,13 +1037,13 @@ langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.130"
+version = "0.1.131"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.130-py3-none-any.whl", hash = "sha256:acf27d77e699d84b03045f3f226e78be1dffb3e756aa1a085f9993a45380e8b2"},
-    {file = "langsmith-0.1.130.tar.gz", hash = "sha256:3e43f87655a86395133e3a745d5968667d4d05dc9a24c617f89224c8cbf54dce"},
+    {file = "langsmith-0.1.131-py3-none-any.whl", hash = "sha256:80c106b1c42307195cc0bb3a596472c41ef91b79d15bcee9938307800336c563"},
+    {file = "langsmith-0.1.131.tar.gz", hash = "sha256:626101a3bf3ca481e5110d5155ace8aa066e4e9cc2fa7d96c8290ade0fbff797"},
 ]
 
 [package.dependencies]
@@ -2019,29 +2019,29 @@ requests = ">=2.0.1,<3.0.0"
 
 [[package]]
 name = "ruff"
-version = "0.6.8"
+version = "0.6.9"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ruff-0.6.8-py3-none-linux_armv6l.whl", hash = "sha256:77944bca110ff0a43b768f05a529fecd0706aac7bcce36d7f1eeb4cbfca5f0f2"},
-    {file = "ruff-0.6.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:27b87e1801e786cd6ede4ada3faa5e254ce774de835e6723fd94551464c56b8c"},
-    {file = "ruff-0.6.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cd48f945da2a6334f1793d7f701725a76ba93bf3d73c36f6b21fb04d5338dcf5"},
-    {file = "ruff-0.6.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:677e03c00f37c66cea033274295a983c7c546edea5043d0c798833adf4cf4c6f"},
-    {file = "ruff-0.6.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9f1476236b3eacfacfc0f66aa9e6cd39f2a624cb73ea99189556015f27c0bdeb"},
-    {file = "ruff-0.6.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6f5a2f17c7d32991169195d52a04c95b256378bbf0de8cb98478351eb70d526f"},
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-    {file = "ruff-0.6.8-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:007dee844738c3d2e6c24ab5bc7d43c99ba3e1943bd2d95d598582e9c1b27750"},
-    {file = "ruff-0.6.8-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:ce60058d3cdd8490e5e5471ef086b3f1e90ab872b548814e35930e21d848c9ce"},
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-    {file = "ruff-0.6.8-py3-none-win_amd64.whl", hash = "sha256:ec0517dc0f37cad14a5319ba7bba6e7e339d03fbf967a6d69b0907d61be7a263"},
-    {file = "ruff-0.6.8-py3-none-win_arm64.whl", hash = "sha256:8d3bb2e3fbb9875172119021a13eed38849e762499e3cfde9588e4b4d70968dc"},
-    {file = "ruff-0.6.8.tar.gz", hash = "sha256:a5bf44b1aa0adaf6d9d20f86162b34f7c593bfedabc51239953e446aefc8ce18"},
+    {file = "ruff-0.6.9-py3-none-linux_armv6l.whl", hash = "sha256:064df58d84ccc0ac0fcd63bc3090b251d90e2a372558c0f057c3f75ed73e1ccd"},
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+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:645d7d8761f915e48a00d4ecc3686969761df69fb561dd914a773c1a8266e14e"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eae02b700763e3847595b9d2891488989cac00214da7f845f4bcf2989007d577"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d5ccc9e58112441de8ad4b29dcb7a86dc25c5f770e3c06a9d57e0e5eba48829"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:417b81aa1c9b60b2f8edc463c58363075412866ae4e2b9ab0f690dc1e87ac1b5"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c866b631f5fbce896a74a6e4383407ba7507b815ccc52bcedabb6810fdb3ef7"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7b118afbb3202f5911486ad52da86d1d52305b59e7ef2031cea3425142b97d6f"},
+    {file = "ruff-0.6.9-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a67267654edc23c97335586774790cde402fb6bbdb3c2314f1fc087dee320bfa"},
+    {file = "ruff-0.6.9-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:3ef0cc774b00fec123f635ce5c547dac263f6ee9fb9cc83437c5904183b55ceb"},
+    {file = "ruff-0.6.9-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:12edd2af0c60fa61ff31cefb90aef4288ac4d372b4962c2864aeea3a1a2460c0"},
+    {file = "ruff-0.6.9-py3-none-musllinux_1_2_i686.whl", hash = "sha256:55bb01caeaf3a60b2b2bba07308a02fca6ab56233302406ed5245180a05c5625"},
+    {file = "ruff-0.6.9-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:925d26471fa24b0ce5a6cdfab1bb526fb4159952385f386bdcc643813d472039"},
+    {file = "ruff-0.6.9-py3-none-win32.whl", hash = "sha256:eb61ec9bdb2506cffd492e05ac40e5bc6284873aceb605503d8494180d6fc84d"},
+    {file = "ruff-0.6.9-py3-none-win_amd64.whl", hash = "sha256:785d31851c1ae91f45b3d8fe23b8ae4b5170089021fbb42402d811135f0b7117"},
+    {file = "ruff-0.6.9-py3-none-win_arm64.whl", hash = "sha256:a9641e31476d601f83cd602608739a0840e348bda93fec9f1ee816f8b6798b93"},
+    {file = "ruff-0.6.9.tar.gz", hash = "sha256:b076ef717a8e5bc819514ee1d602bbdca5b4420ae13a9cf61a0c0a4f53a2baa2"},
 ]
 
 [[package]]

From 2c5b6d3d4a0102957bb56f9cfe19587df525a263 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 5 Oct 2024 19:52:04 -0700
Subject: [PATCH 29/47] Add Makefile with help, format, and ruff targets

This commit introduces a Makefile to enhance project manageability. It includes a 'help' target for displaying available commands, a 'format' target for formatting Python files with Black, and a 'ruff' target for running the Ruff linter.
---
 Makefile | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)
 create mode 100644 Makefile

diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..5462280
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,21 @@
+SHELL := /bin/bash
+
+.DEFAULT_GOAL := help
+
+SRC_DIRS := sigmaiq/llm/tools
+PYTHON_FILES := $(shell find $(SRC_DIRS) -type f -name "*.py")
+
+.PHONY: help
+help:
+	@echo "Usage:"
+	@awk 'BEGIN {FS = ":.*?## "} /^[a-zA-Z0-9_-]+:.*?## / {printf "  %-20s%s\n", $$1, $$2}' $(MAKEFILE_LIST)
+
+.PHONY: format
+format: ## Format Python files
+	@echo "Formatting Python files..."
+	black $(PYTHON_FILES)
+
+.PHONY: ruff
+ruff: ## Run Ruff linter
+	@echo "Running Ruff linter..."
+	ruff check $(PYTHON_FILES)
\ No newline at end of file

From 70130d5544805f7d11fcc993920ca411460d294d Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 5 Oct 2024 20:46:51 -0700
Subject: [PATCH 30/47] Enable asyncio support and streamline imports

Refactor multiple tools to incorporate asyncio for asynchronous execution. Removed unnecessary imports and standardized descriptions across files for consistency and clarity. Updated Makefile to include examples directory.
---
 Makefile                                  |   2 +-
 sigmaiq/llm/tools/create_sigma_rule.py    | 250 +++++++++++-----------
 sigmaiq/llm/tools/find_sigma_rule.py      | 146 ++++++-------
 sigmaiq/llm/tools/query_to_sigma_rule.py  | 227 ++++++++++----------
 sigmaiq/llm/tools/translate_sigma_rule.py | 191 +++++++++--------
 5 files changed, 393 insertions(+), 423 deletions(-)

diff --git a/Makefile b/Makefile
index 5462280..f2f11bb 100644
--- a/Makefile
+++ b/Makefile
@@ -2,7 +2,7 @@ SHELL := /bin/bash
 
 .DEFAULT_GOAL := help
 
-SRC_DIRS := sigmaiq/llm/tools
+SRC_DIRS := sigmaiq/llm/tools examples
 PYTHON_FILES := $(shell find $(SRC_DIRS) -type f -name "*.py")
 
 .PHONY: help
diff --git a/sigmaiq/llm/tools/create_sigma_rule.py b/sigmaiq/llm/tools/create_sigma_rule.py
index 6df39bd..49c2f72 100644
--- a/sigmaiq/llm/tools/create_sigma_rule.py
+++ b/sigmaiq/llm/tools/create_sigma_rule.py
@@ -1,130 +1,120 @@
-# stdlib
-from typing import Type, Optional
-
-# langchain
-from langchain.callbacks.manager import CallbackManagerForToolRun
-from langchain.prompts import ChatPromptTemplate
-from langchain.tools import BaseTool
-from langchain.pydantic_v1 import BaseModel, Field
-
-# langchain typing
-from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.runnable import RunnablePassthrough
-from langchain.schema.output_parser import StrOutputParser
-from langchain.schema.vectorstore import VectorStore
-
-
-class CreateSigmaRuleInput(BaseModel):
-    """Input for TranslateSigmaRule tool, which uses SigmAIQ backend factory to convert a Sigma Rule into
-    a query for a specific backend."""
-
-    query: str = Field(
-        description="The users question, used to search through the Sigma VectorStore and create a Sigma Rule."
-    )
-
-    class Config(BaseTool.Config):
-        pass
-
-
-class CreateSigmaRuleVectorStoreTool(BaseTool):
-    """Class for translating Sigma rules via SigmAIQ Backend Factory"""
-
-    name: str = "create_sigma_rule_vectorstore"
-    args_schema: Type[BaseModel] = CreateSigmaRuleInput
-    description: str = """Use this tool to take the users input, find similar Sigma Rules from the vectorstore,
-    then create a brand new Sigma Rule based on the users input and the similar Sigma Rules returned from the vectorstore
-    to use as context. The output is a Sigma Rule in YAML format.
-    """
-    sigmadb: VectorStore
-    llm: BaseLanguageModel
-    k: int = 3
-    verbose = False
-
-    def _run(
-        self,
-        query: str,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        """Run the tool"""
-
-        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
-                You are assisting a user in creating a new Sigma Rule based on the users question.  
-                The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
-                Sigma Rules. The official Sigma Rules can be used as context as needed in conjunction with the detection specified
-                in the users question to create a new Sigma Rule.  
-                The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
-                can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
-                which can be used in the condition field to select criteria and filter out criteria respectively.
-                Set the 'author' to 'SigmAIQ (AttackIQ)', the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.
-                If you use other rules as context and derive the created Sigma Rules from the context rules, you must
-                include the original authors under the 'author' field in the new rule in addition to "SigmAIQ (AttackIQ),
-                and add the original rule IDs under the 'related' field. The valid 'types' under 'related' are the following:
-                
-                    derived: The rule was derived from the referred rule or rules, which may remain active.
-                    obsoletes: The rule obsoletes the referred rule or rules, which aren't used anymore.
-                    merged: The rule was merged from the referred rules. The rules may be still existing and in use.
-                    renamed: The rule had previously the referred identifier or identifiers but was renamed for whatever reason, e.g. from a private naming scheme to UUIDs, to resolve collisions etc. It's not expected that a rule with this id exists anymore.
-                    similar: Use to relate similar rules to each other (e.g. same detection content applied to different log sources, rule that is a modified version of another rule with a different level)
- 
-                If you are unsure about the Sigma rule schema, you can get the information from the official
-                Sigma specification here first: https://raw.githubusercontent.com/SigmaHQ/sigma-specification/main/Sigma_specification.md
-
-                ------------
-                
-                Sigma Rule Schema:
-                
-                title
-                id [optional]
-                related [optional]
-                   - id {{rule-id}}
-                     type {{type-identifier}}
-                status [optional]
-                description [optional]
-                references [optional]
-                author [optional]
-                date [optional]
-                modified [optional]
-                tags [optional]
-                logsource
-                   category [optional]
-                   product [optional]
-                   service [optional]
-                   definition [optional]
-                   ...
-                detection
-                   {{search-identifier}} [optional]
-                      {{string-list}} [optional]
-                      {{map-list}} [optional]
-                      {{field: value}}> [optional]
-                   ... # Multiple search identifiers can be specified as needed and used in the condition
-                   condition
-                fields [optional]
-                falsepositives [optional]
-                level [optional]:
-                
-                
-                ------------
-                
-                Vectorstore Search Results:
-
-                {context}
-                
-                ------------
-                
-                User's Question: 
-                {question}
-                """
-
-        prompt = ChatPromptTemplate.from_template(template)
-        retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
-        chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
-        return chain.invoke(query)
-
-    async def _arun(
-        self,
-        query: str,
-        k: int,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        """Async run the tool"""
-        raise NotImplementedError
+# stdlib
+import asyncio
+from typing import Type
+
+# langchain
+from langchain.prompts import ChatPromptTemplate
+from langchain.pydantic_v1 import BaseModel, Field
+
+# langchain typing
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnablePassthrough
+from langchain.schema.vectorstore import VectorStore
+from langchain.tools import BaseTool
+
+
+class CreateSigmaRuleInput(BaseModel):
+    """Input for TranslateSigmaRule tool, which uses SigmAIQ backend factory to convert a Sigma Rule into
+    a query for a specific backend."""
+
+    query: str = Field(
+        description="The users question, used to search through the Sigma VectorStore and create a Sigma Rule."
+    )
+
+    class Config(BaseTool.Config):
+        pass
+
+
+class CreateSigmaRuleVectorStoreTool(BaseTool):
+    """Class for translating Sigma rules via SigmAIQ Backend Factory"""
+
+    name: str = "create_sigma_rule_vectorstore"
+    args_schema: Type[BaseModel] = CreateSigmaRuleInput
+    description: str = """Use this tool to take the users input, find similar Sigma Rules from the vectorstore,
+then create a brand new Sigma Rule based on the users input and the similar Sigma Rules returned from the vectorstore
+to use as context. The output is a Sigma Rule in YAML format.
+"""
+    sigmadb: VectorStore
+    llm: BaseLanguageModel
+    k: int = 3
+    verbose = False
+
+    def _run(self, query: str) -> str:
+        """Run the tool"""
+        return asyncio.run(self._arun(query))
+
+    async def _arun(self, query: str) -> str:
+        """Async run the tool"""
+        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
+You are assisting a user in creating a new Sigma Rule based on the users question.  
+The users question is first used to find similar Sigma Rules from the a vectorstore containing official 
+Sigma Rules. The official Sigma Rules can be used as context as needed in conjunction with the detection specified
+in the users question to create a new Sigma Rule.  
+The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
+can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
+which can be used in the condition field to select criteria and filter out criteria respectively.
+Set the 'author' to 'SigmAIQ (AttackIQ)', the date to today's date, and the reference to 'https://github.com/AttackIQ/SigmAIQ'.
+If you use other rules as context and derive the created Sigma Rules from the context rules, you must
+include the original authors under the 'author' field in the new rule in addition to "SigmAIQ (AttackIQ),
+and add the original rule IDs under the 'related' field. The valid 'types' under 'related' are the following:
+
+    derived: The rule was derived from the referred rule or rules, which may remain active.
+    obsoletes: The rule obsoletes the referred rule or rules, which aren't used anymore.
+    merged: The rule was merged from the referred rules. The rules may be still existing and in use.
+    renamed: The rule had previously the referred identifier or identifiers but was renamed for whatever reason, e.g. from a private naming scheme to UUIDs, to resolve collisions etc. It's not expected that a rule with this id exists anymore.
+    similar: Use to relate similar rules to each other (e.g. same detection content applied to different log sources, rule that is a modified version of another rule with a different level)
+
+If you are unsure about the Sigma rule schema, you can get the information from the official
+Sigma specification here first: https://raw.githubusercontent.com/SigmaHQ/sigma-specification/main/Sigma_specification.md
+
+------------
+
+Sigma Rule Schema:
+
+title
+id [optional]
+related [optional]
+   - id {{rule-id}}
+     type {{type-identifier}}
+status [optional]
+description [optional]
+references [optional]
+author [optional]
+date [optional]
+modified [optional]
+tags [optional]
+logsource
+   category [optional]
+   product [optional]
+   service [optional]
+   definition [optional]
+   ...
+detection
+   {{search-identifier}} [optional]
+      {{string-list}} [optional]
+      {{map-list}} [optional]
+      {{field: value}}> [optional]
+   ... # Multiple search identifiers can be specified as needed and used in the condition
+   condition
+fields [optional]
+falsepositives [optional]
+level [optional]:
+
+
+------------
+
+Vectorstore Search Results:
+
+{context}
+
+------------
+
+User's Question: 
+{query}
+"""
+
+        prompt = ChatPromptTemplate.from_template(template)
+        retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
+        chain = {"context": retriever, "query": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
+        return await chain.ainvoke(query)
diff --git a/sigmaiq/llm/tools/find_sigma_rule.py b/sigmaiq/llm/tools/find_sigma_rule.py
index 7b1162a..6182791 100644
--- a/sigmaiq/llm/tools/find_sigma_rule.py
+++ b/sigmaiq/llm/tools/find_sigma_rule.py
@@ -1,78 +1,68 @@
-import json
-from typing import Union, Type, Optional
-from langchain.callbacks.manager import CallbackManagerForToolRun
-from langchain.prompts import ChatPromptTemplate
-from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.output_parser import StrOutputParser
-from langchain.schema.runnable import RunnablePassthrough
-from langchain.schema.vectorstore import VectorStore
-from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
-
-
-
-class FindSigmaRuleInput(BaseModel):
-    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
-    uses SigmAIQ backend factory for validation.
-    """
-
-    query: Union[str, dict] = Field(
-        default=None,
-        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string."""
-    )
-
-
-class FindSigmaRuleTool(BaseTool):
-    """Class for searching Sigma rules in the vector database"""
-
-    name: str = "find_sigma_rule"
-    args_schema: Type[BaseModel] = FindSigmaRuleInput
-    description: str = """
-        Use this tool to search for a Sigma Rule in the vector database. The input should be relevent information, such as
-        log artifacts, event IDs, operating systems, categories, indicators of compromise, MITRE ATT&CK information, or other relevant information to use
-        to search the vector store. If multiple rules are returned from the vector store, select the most similar Sigma Rule and return it in YAML format.
-        """
-    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
-    llm: BaseLanguageModel
-    sigmadb: VectorStore
-    k: int = 3
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
-
-    def _run(
-        self,
-        query: str = None,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rules.
-                    You are assisting a user searching for Sigma Rules stored in a vectorstore.
-                    Based on the users question, extract the relevent information, such as
-                    log artifacts, event IDs, operating systems, categories, indicators of compromise, 
-                    MITRE ATT&CK information, or other relevant information to use
-                    to search the vector store. If multiple rules are returned from the 
-                    vector store, select the most similar Sigma Rule and return it in YAML format. Output the entire rule.
-                    -------
-                    Vectorstore Search Results:
-    
-                    {context}
-                    ------
-                    User's Question: 
-                    {question}
-                """
-
-        prompt = ChatPromptTemplate.from_template(template)
-        retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
-        chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
-        return chain.invoke(query)
-
-    async def _arun(
-        self,
-        query: Union[str, dict] = None,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        """Async run the tool"""
-        raise NotImplementedError
+import asyncio
+from typing import Union, Type
+
+from langchain.prompts import ChatPromptTemplate
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnablePassthrough
+from langchain.schema.vectorstore import VectorStore
+from langchain.tools import BaseTool
+from pydantic import BaseModel, Field, Extra
+
+
+class FindSigmaRuleInput(BaseModel):
+    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
+    uses SigmAIQ backend factory for validation.
+    """
+
+    query: Union[str, dict] = Field(
+        default=None,
+        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string.""",
+    )
+
+
+class FindSigmaRuleTool(BaseTool):
+    """Class for searching Sigma rules in the vector database"""
+
+    name: str = "find_sigma_rule"
+    args_schema: Type[BaseModel] = FindSigmaRuleInput
+    description: str = """
+Use this tool to search for a Sigma Rule in the vector database. The input should be relevent information, such as
+log artifacts, event IDs, operating systems, categories, indicators of compromise, MITRE ATT&CK information, or other relevant information to use
+to search the vector store. If multiple rules are returned from the vector store, select the most similar Sigma Rule and return it in YAML format.
+"""
+    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
+    llm: BaseLanguageModel
+    sigmadb: VectorStore
+    k: int = 3
+    verbose = False
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    def _run(self, query: Union[str, dict] = None) -> str:
+        return asyncio.run(self._arun(query))
+
+    async def _arun(self, query: Union[str, dict] = None) -> str:
+        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rules.
+You are assisting a user searching for Sigma Rules stored in a vectorstore.
+Based on the users question, extract the relevent information, such as
+log artifacts, event IDs, operating systems, categories, indicators of compromise, 
+MITRE ATT&CK information, or other relevant information to use
+to search the vector store. If multiple rules are returned from the 
+vector store, select the most similar Sigma Rule and return it in YAML format. Output the entire rule.
+-------
+Vectorstore Search Results:
+
+{context}
+------
+User's Question: 
+{question}
+"""
+
+        prompt = ChatPromptTemplate.from_template(template)
+        retriever = self.sigmadb.as_retriever(search_kwargs={"k": self.k})
+        chain = {"context": retriever, "question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
+        return await chain.ainvoke(query)
diff --git a/sigmaiq/llm/tools/query_to_sigma_rule.py b/sigmaiq/llm/tools/query_to_sigma_rule.py
index 637ca8c..3bca686 100644
--- a/sigmaiq/llm/tools/query_to_sigma_rule.py
+++ b/sigmaiq/llm/tools/query_to_sigma_rule.py
@@ -1,119 +1,108 @@
-import json
-from typing import Union, Type, Optional
-
-from langchain.callbacks.manager import CallbackManagerForToolRun
-from langchain.prompts import ChatPromptTemplate
-from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.output_parser import StrOutputParser
-from langchain.schema.runnable import RunnablePassthrough
-from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
-
-from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS, SigmAIQBackend
-
-
-class QueryToSigmaRuleInput(BaseModel):
-    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
-    uses SigmAIQ backend factory for validation.
-    """
-
-    query: Union[str, dict] = Field(
-        default=None,
-        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string."""
-    )
-    backend: str = Field(
-        default=None,
-        description="""The backend that the query is for, and what should be used for validation. Backend options their descriptions are as 
-        follows:\n"""
-        + f"{json.dumps(AVAILABLE_BACKENDS, indent=2)}",
-    )
-
-
-class QueryToSigmaRuleTool(BaseTool):
-    """Class for converting a backend query to a Sigma Rule"""
-
-    name: str = "query_to_sigma_rule"
-    args_schema: Type[BaseModel] = QueryToSigmaRuleInput
-    description: str = """
-        Use this tool to take an already existing query for a backend and convert it to a Sigma Rule.
-        Use the translate_sigma_rule tool to take the created Sigma Rule and convert it back to a query to 
-        determine if the queries are the same and the conversion is successful. Fix any errors if necessary.
-        The input must be a query string for a backend, and the backend must be specified.
-        The output is a Sigma Rule YAML string, or an error message if the conversion fails.
-        """
-    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
-    llm: BaseLanguageModel
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
-
-    def _run(
-        self,
-        query: str = None,
-        backend: str = None,
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
-                    You are assisting a user in taking a query for a security/SIEM product, and converting it to a Sigma Rule.
-                    The backend is used to validate the query and ensure it is compatible with the backend.
-                    The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
-                    can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
-                    which can be used in the condition field to select criteria and filter out criteria respectively.  
-                    The fields should be Sysmon field names if possible, or Windows Event Log field names if possible.  
-    
-                    -----------
-                    
-                    Sigma Rule Schema:
-    
-                    title
-                    id [optional]
-                    related [optional]
-                       - id {{rule-id}}
-                         type {{type-identifier}}
-                    status [optional]
-                    description [optional]
-                    references [optional]
-                    author [optional]
-                    date [optional]
-                    modified [optional]
-                    tags [optional]
-                    logsource
-                       category [optional]
-                       product [optional]
-                       service [optional]
-                       definition [optional]
-                       ...
-                    detection
-                       {{search-identifier}} [optional]
-                          {{string-list}} [optional]
-                          {{map-list}} [optional]
-                          {{field: valu}}> [optional]
-                       ... # Multiple search identifiers can be specified as needed and used in the condition
-                       condition
-                    fields [optional]
-                    falsepositives [optional]
-                    level [optional]:
-                    
-                    -----------
-                    
-                    User's Question: 
-                    {question}
-                    """
-
-        prompt = ChatPromptTemplate.from_template(template)
-        chain = {"question": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
-        return chain.invoke(query)
-
-    async def _arun(
-        self,
-        sigma_rule: Union[str, dict] = None,
-        backend: str = None,
-        processing_pipeline: str = None,
-        output_format: str = "default",
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        """Async run the tool"""
-        raise NotImplementedError
+import asyncio
+import json
+from typing import Union, Type
+
+from langchain.prompts import ChatPromptTemplate
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnablePassthrough
+from langchain.tools import BaseTool
+from pydantic import BaseModel, Field, Extra
+
+from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS
+
+
+class QueryToSigmaRuleInput(BaseModel):
+    """Input for QueryToSigmaRule tool, which converts a backend query to a Sigma Rule, and
+    uses SigmAIQ backend factory for validation.
+    """
+
+    query: Union[str, dict] = Field(
+        default=None,
+        description="""A query string for a backend, which should be converted to a Sigma Rule YAML string.""",
+    )
+    backend: str = Field(
+        default=None,
+        description="""The backend that the query is for, and what should be used for validation. Backend options their descriptions are as 
+        follows:\n"""
+        + f"{json.dumps(AVAILABLE_BACKENDS, indent=2)}",
+    )
+
+
+class QueryToSigmaRuleTool(BaseTool):
+    """Class for converting a backend query to a Sigma Rule"""
+
+    name: str = "query_to_sigma_rule"
+    args_schema: Type[BaseModel] = QueryToSigmaRuleInput
+    description: str = """
+Use this tool to take an already existing query for a backend and convert it to a Sigma Rule.
+Use the translate_sigma_rule tool to take the created Sigma Rule and convert it back to a query to 
+determine if the queries are the same and the conversion is successful. Fix any errors if necessary.
+The input must be a query string for a backend, and the backend must be specified.
+The output is a Sigma Rule YAML string, or an error message if the conversion fails.
+"""
+    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
+    llm: BaseLanguageModel
+    verbose = False
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    def _run(self, query: str = None, backend: str = None) -> str:
+        return asyncio.run(self._arun(query, backend))
+
+    async def _arun(self, query: str = None, backend: str = None) -> str:
+        template = """You are a cybersecurity detection engineering assistant bot specializing in Sigma Rule creation.
+You are assisting a user in taking a query for a security/SIEM product, and converting it to a Sigma Rule.
+The backend is used to validate the query and ensure it is compatible with the backend.
+The created Sigma Rule should be in YAML format and use the official Sigma schema.  The detection field
+can contain multiple 'selection' identifiers and multiple 'filter' identifiers as needed, 
+which can be used in the condition field to select criteria and filter out criteria respectively.  
+The fields should be Sysmon field names if possible, or Windows Event Log field names if possible.  
+
+-----------
+
+Sigma Rule Schema:
+
+title
+id [optional]
+related [optional]
+   - id {{rule-id}}
+     type {{type-identifier}}
+status [optional]
+description [optional]
+references [optional]
+author [optional]
+date [optional]
+modified [optional]
+tags [optional]
+logsource
+   category [optional]
+   product [optional]
+   service [optional]
+   definition [optional]
+   ...
+detection
+   {{search-identifier}} [optional]
+      {{string-list}} [optional]
+      {{map-list}} [optional]
+      {{field: valu}}> [optional]
+   ... # Multiple search identifiers can be specified as needed and used in the condition
+   condition
+fields [optional]
+falsepositives [optional]
+level [optional]:
+
+-----------
+
+User's Query: {query}
+Backend: {backend}
+"""
+
+        prompt = ChatPromptTemplate.from_template(template)
+        chain = (
+            {"query": RunnablePassthrough(), "backend": RunnablePassthrough()} | prompt | self.llm | StrOutputParser()
+        )
+        return await chain.ainvoke({"query": query, "backend": backend})
diff --git a/sigmaiq/llm/tools/translate_sigma_rule.py b/sigmaiq/llm/tools/translate_sigma_rule.py
index 9fc1682..9b6a039 100644
--- a/sigmaiq/llm/tools/translate_sigma_rule.py
+++ b/sigmaiq/llm/tools/translate_sigma_rule.py
@@ -1,95 +1,96 @@
-from langchain.callbacks.manager import CallbackManagerForToolRun
-from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
-from typing import Union, Type, Optional
-from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS, SigmAIQBackend
-from sigmaiq.sigmaiq_pipeline_factory import AVAILABLE_PIPELINES
-import json
-
-
-class TranslateSigmaRuleInput(BaseModel):
-    """Input for TranslateSigmaRule tool, which uses SigmAIQ backend factory to convert a Sigma Rule into
-    a query for a specific backend."""
-
-    sigma_rule: Union[str, dict] = Field(
-        default=None,
-        description="""The Sigma Rule to translate. This can be one of two formats:
-        
-                     1. A YAML string of the Sigma rule, with at least the title, logsource, and detection fields.
-                     2. A dict object of the Sigma rule, which is the same as the YAML string and must contain the 
-                     "title, logsource, and detection fields""",
-    )
-    backend: str = Field(
-        default=None,
-        description="""The backend or product to translate the Sigma rule to. Backend options their descriptions are as 
-        follows:\n"""
-        + f"{json.dumps(AVAILABLE_BACKENDS, indent=2)}",
-    )
-    processing_pipeline: str = Field(
-        default=None,
-        description="""The processing pipeline to use for the Sigma rule. This should only be set if explicitly provided
-            by the user, as certain pipelines are only compatible with certain backends. Otherwise, set this to None.
-            Pipeline options and their 
-            descriptions are as follows:\n"""
-        + f"{json.dumps({k: v['description'] for k, v in AVAILABLE_PIPELINES.items()}, indent=2)}",
-    )
-    output_format: str = Field(
-        default="default",
-        description="""The output format for the translated rule. Unless specified, 'default' should be used, as this is
-            the option available in all backends. Each backend option and valid backends with their
-            descriptions are as follows:\n"""
-        + f"{json.dumps({k: v['output_formats'] for k, v in SigmAIQBackend.display_backends_and_outputs().items()}, indent=2)}",
-    )
-
-
-class TranslateSigmaRuleTool(BaseTool):
-    """Class for translating Sigma rules via SigmAIQ Backend Factory"""
-
-    name: str = "translate_sigma_rule"
-    args_schema: Type[BaseModel] = TranslateSigmaRuleInput
-    description: str = """
-        Use this tool to translate or convert a Sigma rule into a query for a specific backend.
-        The input must be a Sigma Rule, which can be provided as a YAML string or dict object.
-        Additionally, the backend (product) must be specified, and the processing pipeline and output format can be 
-        optionally specified.
-        The output is json of the translated rule to a query for the backend, or an error message if the 
-        translation fails.
-        """
-    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
-
-    def _run(
-        self,
-        sigma_rule: Union[str, dict] = None,
-        backend: str = None,
-        processing_pipeline: str = None,
-        output_format: str = "default",
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        # Get backend object
-        backend_obj = SigmAIQBackend(
-            backend=backend, processing_pipeline=processing_pipeline, output_format=output_format
-        ).create_backend()
-
-        try:
-            output = backend_obj.translate(sigma_rule)[0]
-        except Exception as e:
-            output = f"ERROR: {e}"
-        # Return translated rule
-        return output
-
-    async def _arun(
-        self,
-        sigma_rule: Union[str, dict] = None,
-        backend: str = None,
-        processing_pipeline: str = None,
-        output_format: str = "default",
-        run_manager: Optional[CallbackManagerForToolRun] = None,
-    ) -> str:
-        """Async run the tool"""
-        raise NotImplementedError
+import asyncio
+import json
+from typing import Union, Type
+
+from langchain.tools import BaseTool
+from pydantic import BaseModel, Field, Extra
+
+from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS, SigmAIQBackend
+from sigmaiq.sigmaiq_pipeline_factory import AVAILABLE_PIPELINES
+
+
+class TranslateSigmaRuleInput(BaseModel):
+    """Input for TranslateSigmaRule tool, which uses SigmAIQ backend factory to convert a Sigma Rule into
+    a query for a specific backend."""
+
+    sigma_rule: Union[str, dict] = Field(
+        default=None,
+        description="""The Sigma Rule to translate. This can be one of two formats:
+
+1. A YAML string of the Sigma rule, with at least the title, logsource, and detection fields.
+2. A dict object of the Sigma rule, which is the same as the YAML string and must contain the 
+"title, logsource, and detection fields""",
+    )
+    backend: str = Field(
+        default=None,
+        description="""The backend or product to translate the Sigma rule to. Backend options their descriptions are as 
+follows:\n"""
+        + f"{json.dumps(AVAILABLE_BACKENDS, indent=2)}",
+    )
+    processing_pipeline: str = Field(
+        default=None,
+        description="""The processing pipeline to use for the Sigma rule. This should only be set if explicitly provided
+by the user, as certain pipelines are only compatible with certain backends. Otherwise, set this to None.
+Pipeline options and their 
+descriptions are as follows:\n"""
+        + f"{json.dumps({k: v['description'] for k, v in AVAILABLE_PIPELINES.items()}, indent=2)}",
+    )
+    output_format: str = Field(
+        default="default",
+        description="""The output format for the translated rule. Unless specified, 'default' should be used, as this is
+    the option available in all backends. Each backend option and valid backends with their
+    descriptions are as follows:\n"""
+        + f"{json.dumps({k: v['output_formats'] for k, v in SigmAIQBackend.display_backends_and_outputs().items()}, indent=2)}",
+    )
+
+
+class TranslateSigmaRuleTool(BaseTool):
+    """Class for translating Sigma rules via SigmAIQ Backend Factory"""
+
+    name: str = "translate_sigma_rule"
+    args_schema: Type[BaseModel] = TranslateSigmaRuleInput
+    description: str = """
+Use this tool to translate or convert a Sigma rule into a query for a specific backend.
+The input must be a Sigma Rule, which can be provided as a YAML string or dict object.
+Additionally, the backend (product) must be specified, and the processing pipeline and output format can be 
+optionally specified.
+The output is json of the translated rule to a query for the backend, or an error message if the 
+translation fails.
+"""
+    # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
+    verbose = False
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    def _run(
+        self,
+        sigma_rule: Union[str, dict] = None,
+        backend: str = None,
+        processing_pipeline: str = None,
+        output_format: str = "default",
+    ) -> str:
+        """Run the tool"""
+        return asyncio.run(self._arun(sigma_rule, backend, processing_pipeline, output_format))
+
+    async def _arun(
+        self,
+        sigma_rule: Union[str, dict] = None,
+        backend: str = None,
+        processing_pipeline: str = None,
+        output_format: str = "default",
+    ) -> str:
+        """Async run the tool"""
+        # Get backend object
+        backend_obj = SigmAIQBackend(
+            backend=backend, processing_pipeline=processing_pipeline, output_format=output_format
+        ).create_backend()
+
+        try:
+            output = backend_obj.translate(sigma_rule)[0]
+        except Exception as e:
+            output = f"ERROR: {e}"
+        # Return translated rule
+        return output

From 12d49c4e71de482c2a658e8be7d9663dd41c7d57 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 5 Oct 2024 20:47:25 -0700
Subject: [PATCH 31/47] Enable asyncio support and streamline imports

Refactor multiple tools to incorporate asyncio for asynchronous execution. Removed unnecessary imports and standardized descriptions across files for consistency and clarity. Updated Makefile to include examples directory.
---
 examples/custom_field_mappings.py             |  92 +++----
 examples/llm_basic_usage.py                   |  75 +++---
 examples/llm_rule_translation_and_creation.py | 198 ++++++++-------
 examples/translate_sigma_rules.py             | 154 ++++++------
 sigmaiq/llm/toolkits/base.py                  | 238 ++++++++----------
 5 files changed, 371 insertions(+), 386 deletions(-)

diff --git a/examples/custom_field_mappings.py b/examples/custom_field_mappings.py
index 993028a..8325c21 100644
--- a/examples/custom_field_mappings.py
+++ b/examples/custom_field_mappings.py
@@ -1,46 +1,46 @@
-# %% This example shows how to use the SigmAIQ pySigma wrapper to provide custom field mappings for a backend
-# %% This will allow you to translate specific field names to custom field names during rule translation
-
-# %% Import SigmAIQ
-from sigmaiq import SigmAIQBackend, SigmAIQPipeline
-
-# %% Import pprint for pretty printing, and copy for copying rules
-from pprint import pprint
-from copy import copy
-
-# %% A basic Sigma Rule in YAML str to convert to a query.
-# %% SigmAIQ also accepts a rule in JSON/Dict format, SigmaRule objects, and SigmaCollection objects
-
-sigma_rule = """
-title: whoami Command
-description: Detects a basic whoami commandline execution
-logsource:
-    product: windows
-    category: process_creation
-detection:
-    selection1:
-        - CommandLine|contains: 'whoami.exe'
-    condition: selection1
-"""
-
-# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query
-sigmaiq_backend = SigmAIQBackend(backend="splunk").create_backend()
-query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
-
-print("\nM365Defender Query: ", end="\n\n")
-pprint(query[0])
-print("\n-------------------")
-
-# %% Create custom field mappings
-# %% This will map the CommandLine field to a custom field named "CustomCommandLine"
-custom_field_mappings = {"CommandLine": "CustomCommandLine"}
-my_custom_pipeline = SigmAIQPipeline.from_fieldmap(custom_field_mappings, priority=0).create_pipeline()
-
-# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query with our custom field mappings
-sigmaiq_backend = SigmAIQBackend(backend="splunk", processing_pipeline=my_custom_pipeline).create_backend()
-
-query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
-
-print("\nM365Defender Query with Custom Fieldmappings: ", end="\n\n")
-pprint(query[0])
-print("\n-------------------")
+# %% This example shows how to use the SigmAIQ pySigma wrapper to provide custom field mappings for a backend
+# %% This will allow you to translate specific field names to custom field names during rule translation
+
+# %% Import SigmAIQ
+from sigmaiq import SigmAIQBackend, SigmAIQPipeline
+
+# %% Import pprint for pretty printing, and copy for copying rules
+from pprint import pprint
+from copy import copy
+
+# %% A basic Sigma Rule in YAML str to convert to a query.
+# %% SigmAIQ also accepts a rule in JSON/Dict format, SigmaRule objects, and SigmaCollection objects
+
+sigma_rule = """
+title: whoami Command
+description: Detects a basic whoami commandline execution
+logsource:
+    product: windows
+    category: process_creation
+detection:
+    selection1:
+        - CommandLine|contains: 'whoami.exe'
+    condition: selection1
+"""
+
+# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query
+sigmaiq_backend = SigmAIQBackend(backend="splunk").create_backend()
+query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
+
+print("\nM365Defender Query: ", end="\n\n")
+pprint(query[0])
+print("\n-------------------")
+
+# %% Create custom field mappings
+# %% This will map the CommandLine field to a custom field named "CustomCommandLine"
+custom_field_mappings = {"CommandLine": "CustomCommandLine"}
+my_custom_pipeline = SigmAIQPipeline.from_fieldmap(custom_field_mappings, priority=0).create_pipeline()
+
+# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query with our custom field mappings
+sigmaiq_backend = SigmAIQBackend(backend="splunk", processing_pipeline=my_custom_pipeline).create_backend()
+
+query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
+
+print("\nM365Defender Query with Custom Fieldmappings: ", end="\n\n")
+pprint(query[0])
+print("\n-------------------")
diff --git a/examples/llm_basic_usage.py b/examples/llm_basic_usage.py
index 3ad4605..97019dc 100644
--- a/examples/llm_basic_usage.py
+++ b/examples/llm_basic_usage.py
@@ -1,37 +1,38 @@
-# %% This example will demonstrate how to use SigmAIQ to perform the following:
-# %% 1. Download the latest Sigma Rule package release
-# %% 2. Create embeddings of the Sigma Rules in the package
-# %% 3. Create and save a VectorDB of the Sigma Rule embeddings
-# %% 4. Use a similarity search on the VectorDB to find Sigma Rules similar to a provided query
-from pprint import pprint
-
-# %% NOTE, this example uses OpenAI for embeddings. Ensure you have an OpenAI API key set in your environment variable
-# %% OPENAI_API_KEY
-
-# %% Also ensure you have installed the correct requirements with:
-# `pip install -r requirements/common.txt -r requirements/llm.txt`
-
-
-# %% Import SigmAIQ LLM and OpenAIEmbeddings
-from sigmaiq.llm.base import SigmaLLM
-
-# %% Create a SigmaLLM object with default settings. See the class docstring for more information
-from langchain_openai import OpenAIEmbeddings
-sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
-
-# %% The `create_sigma_vectordb()` method will automatically do all the work for you :) (only run this once)
-sigma_llm.create_sigma_vectordb(save=True)  # Save locally to disk
-
-# %% Run a similarity search on the vectordb for encoded powershell commands and print top 3 results
-query = "Encoded powershell commands"
-matching_rules = sigma_llm.simple_search(query, k=3)
-for matching_rule in matching_rules:
-    print(matching_rule.page_content, end="\n\n-------------------\n\n")
-
-# %% You can also load an existing vector store from disk (recommended)
-sigma_llm.load_sigma_vectordb()
-
-query = "certutil"
-matching_rules = sigma_llm.simple_search(query, k=3)
-for matching_rule in matching_rules:
-    print(matching_rule.page_content, end="\n\n-------------------\n\n")
+# %% This example will demonstrate how to use SigmAIQ to perform the following:
+# %% 1. Download the latest Sigma Rule package release
+# %% 2. Create embeddings of the Sigma Rules in the package
+# %% 3. Create and save a VectorDB of the Sigma Rule embeddings
+# %% 4. Use a similarity search on the VectorDB to find Sigma Rules similar to a provided query
+from pprint import pprint
+
+# %% NOTE, this example uses OpenAI for embeddings. Ensure you have an OpenAI API key set in your environment variable
+# %% OPENAI_API_KEY
+
+# %% Also ensure you have installed the correct requirements with:
+# `pip install -r requirements/common.txt -r requirements/llm.txt`
+
+
+# %% Import SigmAIQ LLM and OpenAIEmbeddings
+from sigmaiq.llm.base import SigmaLLM
+
+# %% Create a SigmaLLM object with default settings. See the class docstring for more information
+from langchain_openai import OpenAIEmbeddings
+
+sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
+
+# %% The `create_sigma_vectordb()` method will automatically do all the work for you :) (only run this once)
+sigma_llm.create_sigma_vectordb(save=True)  # Save locally to disk
+
+# %% Run a similarity search on the vectordb for encoded powershell commands and print top 3 results
+query = "Encoded powershell commands"
+matching_rules = sigma_llm.simple_search(query, k=3)
+for matching_rule in matching_rules:
+    print(matching_rule.page_content, end="\n\n-------------------\n\n")
+
+# %% You can also load an existing vector store from disk (recommended)
+sigma_llm.load_sigma_vectordb()
+
+query = "certutil"
+matching_rules = sigma_llm.simple_search(query, k=3)
+for matching_rule in matching_rules:
+    print(matching_rule.page_content, end="\n\n-------------------\n\n")
diff --git a/examples/llm_rule_translation_and_creation.py b/examples/llm_rule_translation_and_creation.py
index 3e75ab5..7ee7326 100644
--- a/examples/llm_rule_translation_and_creation.py
+++ b/examples/llm_rule_translation_and_creation.py
@@ -1,94 +1,104 @@
-# %% This example will demonstrate how to create a Sigma langchain agent chatbot, which can perform various tasks like
-# %% automatically translate a rule for you, and create new rules from a users input.
-
-# %% Import required SigmAIQ classes and functions
-from sigmaiq.llm.toolkits.base import create_sigma_agent
-from sigmaiq.llm.base import SigmaLLM
-from langchain_openai import OpenAIEmbeddings
-
-# %% Ensure we have our Sigma vector store setup with our base LLM class
-sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
-
-try:
-    sigma_llm.load_sigma_vectordb()
-except Exception as e:
-    print(e)
-    print("Creating new Sigma VectorDB")
-    sigma_llm.create_sigma_vectordb(save=True)
-
-# %% Create a Sigma Agent Executor, and pass it our Sigma VectorDB
-sigma_agent_executor = create_sigma_agent(sigma_vectorstore=sigma_llm.sigmadb)
-
-print("\n--------\nRULE TRANSLATION\n--------\n")
-# %% RULE TRANSLATION
-# %% Have the agent automatically translate a Sigma rule to a Splunk query with the splunk_cim_dm pipeline
-user_input = "Convert this Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n" + \
-             "title: whoami Command\n" + \
-             "description: Detects a basic whoami commandline execution\n" + \
-             "logsource:\n" + \
-             "    product: windows\n" + \
-             "    category: process_creation\n" + \
-             "detection:\n" + \
-             "    selection1:\n" + \
-             "        - CommandLine|contains: 'whoami.exe'\n" + \
-             "    condition: selection1"
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get('output'), end="\n\n")
-
-# %% RULE SEARCHING
-# %% The agent will find official Sigma rules in the Sigma vector store based on the context of the users input.
-print("\n--------\nRULE SEARCHING\n--------\n")
-
-user_input = ("What Sigma Rule can detect a process creation event where the parent process is word.exe and the child "
-              "process is cmd.exe?")
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get('output'), end="\n\n")
-
-# %% QUERY TO SIGMA RULE CONVERSION
-# %% If you already have a query and want to convert it back to a Sigma Rule
-print("\n--------\nQUERY TO SIGMA RULE \n--------\n")
-
-user_input = """
-Convert this Microsoft365Defender query into a Sigma Rule:
-DeviceProcessEvents
-| where ((ProcessCommandLine contains "powershell.exe -enc" or ProcessCommandLine contains "cmd.exe /c" or ProcessCommandLine contains "rundll32.exe") or (InitiatingProcessFolderPath endswith "\\explorer.exe" or InitiatingProcessFolderPath endswith "\\svchost.exe")) and (not((ProcessCommandLine contains "schtasks" or ProcessCommandLine contains "tasklist")))
-
-"""
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get('output'), end="\n\n")
-
-# %% RULE CREATION
-# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
-# %% new rule based on the context of the users input and the similar Sigma Rules.
-print("\n--------\nRULE CREATION\n--------\n")
-
-user_input = ("Create a Windows process creation Sigma Rule for certutil downloading a file "
-              "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query.")
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get('output'), end="\n\n")
-
-
-# %% RULE CREATION + TRANSLATION
-# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
-# %% new rule based on the context of the users input and the similar Sigma Rules. Then convert it to a M365 query
-print("\n--------\nRULE CREATION + TRANSLATION\n--------\n")
-
-user_input = ("Create a Windows process creation Sigma Rule for certutil downloading a file "
-              "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query.")
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get('output'), end="\n\n")
+# %% This example will demonstrate how to create a Sigma langchain agent chatbot, which can perform various tasks like
+# %% automatically translate a rule for you, and create new rules from a users input.
+import asyncio
+
+from langchain_openai import OpenAIEmbeddings
+
+from sigmaiq.llm.base import SigmaLLM
+
+# %% Import required SigmAIQ classes and functions
+from sigmaiq.llm.toolkits.base import create_sigma_agent
+
+# %% Ensure we have our Sigma vector store setup with our base LLM class
+sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
+
+try:
+    sigma_llm.load_sigma_vectordb()
+except Exception as e:
+    print(e)
+    print("Creating new Sigma VectorDB")
+    sigma_llm.create_sigma_vectordb(save=True)
+
+# %% Create a Sigma Agent Executor, and pass it our Sigma VectorDB
+sigma_agent_executor = create_sigma_agent(sigma_vectorstore=sigma_llm.sigmadb)
+
+print("\n--------\nRULE TRANSLATION\n--------\n")
+# %% RULE TRANSLATION
+# %% Have the agent automatically translate a Sigma rule to a Splunk query with the splunk_cim_dm pipeline
+user_input = (
+    "Convert this Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n"
+    + "title: whoami Command\n"
+    + "description: Detects a basic whoami commandline execution\n"
+    + "logsource:\n"
+    + "    product: windows\n"
+    + "    category: process_creation\n"
+    + "detection:\n"
+    + "    selection1:\n"
+    + "        - CommandLine|contains: 'whoami.exe'\n"
+    + "    condition: selection1"
+)
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get("output"), end="\n\n")
+
+# %% RULE SEARCHING
+# %% The agent will find official Sigma rules in the Sigma vector store based on the context of the users input.
+print("\n--------\nRULE SEARCHING\n--------\n")
+
+user_input = (
+    "What Sigma Rule can detect a process creation event where the parent process is word.exe and the child "
+    "process is cmd.exe?"
+)
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get("output"), end="\n\n")
+
+# %% QUERY TO SIGMA RULE CONVERSION
+# %% If you already have a query and want to convert it back to a Sigma Rule
+print("\n--------\nQUERY TO SIGMA RULE \n--------\n")
+
+user_input = """
+Convert this Microsoft365Defender query into a Sigma Rule:
+DeviceProcessEvents
+| where ((ProcessCommandLine contains "powershell.exe -enc" or ProcessCommandLine contains "cmd.exe /c" or ProcessCommandLine contains "rundll32.exe") or (InitiatingProcessFolderPath endswith "\\explorer.exe" or InitiatingProcessFolderPath endswith "\\svchost.exe")) and (not((ProcessCommandLine contains "schtasks" or ProcessCommandLine contains "tasklist")))
+
+"""
+
+answer = asyncio.run(sigma_agent_executor.ainvoke({"input": user_input}))
+print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get("output"), end="\n\n")
+
+# %% RULE CREATION
+# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
+# %% new rule based on the context of the users input and the similar Sigma Rules.
+print("\n--------\nRULE CREATION\n--------\n")
+
+user_input = (
+    "Create a Windows process creation Sigma Rule for certutil downloading a file "
+    "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
+)
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get("output"), end="\n\n")
+
+# %% RULE CREATION + TRANSLATION
+# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
+# %% new rule based on the context of the users input and the similar Sigma Rules. Then convert it to a M365 query
+print("\n--------\nRULE CREATION + TRANSLATION\n--------\n")
+
+user_input = (
+    "Create a Windows process creation Sigma Rule for certutil downloading a file "
+    "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
+)
+
+answer = sigma_agent_executor.invoke({"input": user_input})
+print(f"QUESTION:\n {user_input}", end="\n\n")
+print("ANSWER: \n")
+print(answer.get("output"), end="\n\n")
diff --git a/examples/translate_sigma_rules.py b/examples/translate_sigma_rules.py
index 21402e5..575566a 100644
--- a/examples/translate_sigma_rules.py
+++ b/examples/translate_sigma_rules.py
@@ -1,77 +1,77 @@
-# %% This example shows how to use the SigmAIQ pySigma wrapper to easily translate Sigma rules to queries
-# %% easily, without having to worry about installing and configuring the correct backends, pipelines and other details.
-
-
-# %% Import SigmAIQ
-from sigmaiq import SigmAIQBackend
-
-# %% Import pprint for pretty printing, and copy for copying rules
-from pprint import pprint
-from copy import copy
-
-# %% A basic Sigma Rule in YAML str to convert to a query.
-# %% SigmAIQ also accepts a rule in JSON/Dict format, SigmaRule objects, and SigmaCollection objects
-
-sigma_rule = """
-title: whoami Command
-description: Detects a basic whoami commandline execution
-logsource:
-    product: windows
-    category: process_creation
-detection:
-    selection1:
-        - CommandLine|contains: 'whoami.exe'
-    condition: selection1
-"""
-
-# %% BACKENDS
-# %% Show the available supported backends
-print("Supported Backends:", end="\n\n")
-pprint(SigmAIQBackend.display_available_backends())
-print("\n-------------------")
-
-# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query
-# %% SigmAIQ will automatically select the best pipeline for the backend
-sigmaiq_backend = SigmAIQBackend(backend="microsoft365defender").create_backend()
-query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
-
-print("\nM365Defender Query: ", end="\n\n")
-pprint(query[0])
-print("\n-------------------")
-
-# %% PIPELINES
-# %% Show the available pipelines with each backend
-print("Available Pipelines:", end="\n\n")
-pprint(SigmAIQBackend.display_all_associated_pipelines())
-print("\n-------------------")
-
-# %% Create SigmAIQ backend translate the rule to a Splunk search with the CIM pipeline
-sigmaiq_backend = SigmAIQBackend(backend="splunk", processing_pipeline="splunk_cim_dm").create_backend()
-query = sigmaiq_backend.translate(copy(sigma_rule))
-
-print("\nSplunk CIM Query: ", end="\n\n")
-pprint(query[0])
-print("\n-------------------")
-
-# %% OUTPUT FORMATS
-# %% Show the available output formats with each backend
-print("\nAvailable Output Formats:", end="\n\n")
-pprint(SigmAIQBackend.display_backends_and_outputs())
-print("\n-------------------")
-
-# %% Change the output_format to an Enterprise Security Correlation Search stanza
-sigmaiq_backend.set_output_format("stanza")
-query = sigmaiq_backend.translate(copy(sigma_rule))
-
-print("\nSplunk CIM Query, Stanza Output: ", end="\n\n")
-pprint(query[0])
-print("\n-------------------")
-
-
-# %% You can also translate a Sigma rule to all supported backend, pipeline, and output format combinations at once.
-# %% Any combination that is not supported will not be included in the results
-# %% This is useful for testing and comparing the output of different backends and pipelines
-queries = SigmAIQBackend.create_all_and_translate(copy(sigma_rule))
-
-print("\n All Translations: ", end="\n\n")
-pprint(queries)
+# %% This example shows how to use the SigmAIQ pySigma wrapper to easily translate Sigma rules to queries
+# %% easily, without having to worry about installing and configuring the correct backends, pipelines and other details.
+
+
+# %% Import SigmAIQ
+from sigmaiq import SigmAIQBackend
+
+# %% Import pprint for pretty printing, and copy for copying rules
+from pprint import pprint
+from copy import copy
+
+# %% A basic Sigma Rule in YAML str to convert to a query.
+# %% SigmAIQ also accepts a rule in JSON/Dict format, SigmaRule objects, and SigmaCollection objects
+
+sigma_rule = """
+title: whoami Command
+description: Detects a basic whoami commandline execution
+logsource:
+    product: windows
+    category: process_creation
+detection:
+    selection1:
+        - CommandLine|contains: 'whoami.exe'
+    condition: selection1
+"""
+
+# %% BACKENDS
+# %% Show the available supported backends
+print("Supported Backends:", end="\n\n")
+pprint(SigmAIQBackend.display_available_backends())
+print("\n-------------------")
+
+# %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query
+# %% SigmAIQ will automatically select the best pipeline for the backend
+sigmaiq_backend = SigmAIQBackend(backend="microsoft365defender").create_backend()
+query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
+
+print("\nM365Defender Query: ", end="\n\n")
+pprint(query[0])
+print("\n-------------------")
+
+# %% PIPELINES
+# %% Show the available pipelines with each backend
+print("Available Pipelines:", end="\n\n")
+pprint(SigmAIQBackend.display_all_associated_pipelines())
+print("\n-------------------")
+
+# %% Create SigmAIQ backend translate the rule to a Splunk search with the CIM pipeline
+sigmaiq_backend = SigmAIQBackend(backend="splunk", processing_pipeline="splunk_cim_dm").create_backend()
+query = sigmaiq_backend.translate(copy(sigma_rule))
+
+print("\nSplunk CIM Query: ", end="\n\n")
+pprint(query[0])
+print("\n-------------------")
+
+# %% OUTPUT FORMATS
+# %% Show the available output formats with each backend
+print("\nAvailable Output Formats:", end="\n\n")
+pprint(SigmAIQBackend.display_backends_and_outputs())
+print("\n-------------------")
+
+# %% Change the output_format to an Enterprise Security Correlation Search stanza
+sigmaiq_backend.set_output_format("stanza")
+query = sigmaiq_backend.translate(copy(sigma_rule))
+
+print("\nSplunk CIM Query, Stanza Output: ", end="\n\n")
+pprint(query[0])
+print("\n-------------------")
+
+
+# %% You can also translate a Sigma rule to all supported backend, pipeline, and output format combinations at once.
+# %% Any combination that is not supported will not be included in the results
+# %% This is useful for testing and comparing the output of different backends and pipelines
+queries = SigmAIQBackend.create_all_and_translate(copy(sigma_rule))
+
+print("\n All Translations: ", end="\n\n")
+pprint(queries)
diff --git a/sigmaiq/llm/toolkits/base.py b/sigmaiq/llm/toolkits/base.py
index c80cbbb..fac712d 100644
--- a/sigmaiq/llm/toolkits/base.py
+++ b/sigmaiq/llm/toolkits/base.py
@@ -1,132 +1,106 @@
-# stdlib
-from typing import Optional, Dict, Any, Type, Union
-import json
-from json import JSONDecodeError
-
-# langchain
-from langchain.agents.agent import AgentExecutor
-from langchain.agents.format_scratchpad import format_to_openai_function_messages
-from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain_openai import ChatOpenAI
-from langchain.prompts import ChatPromptTemplate
-from langchain_core.utils.function_calling import convert_to_openai_function
-
-# langchain typing
-from langchain.schema import (
-    AgentAction,
-    AgentFinish,
-    OutputParserException,
-)
-from langchain.schema.vectorstore import VectorStore
-from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.agent import AgentActionMessageLog
-from langchain.schema.messages import (
-    AIMessage,
-    BaseMessage,
-)
-
-# sigmaiq
-from sigmaiq.llm.toolkits.sigma_toolkit import SigmaToolkit
-from sigmaiq.llm.toolkits.prompts import SIGMA_AGENT_PROMPT
-
-
-def create_sigma_agent(
-    agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
-    rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
-    sigma_vectorstore: VectorStore = None,
-    toolkit: Type[SigmaToolkit] = SigmaToolkit,
-    prompt: Optional[ChatPromptTemplate] = SIGMA_AGENT_PROMPT,
-    verbose: bool = False,
-    return_intermediate_steps: bool = False,
-    agent_executor_kwargs: Optional[Dict[str, Any]] = None,
-) -> AgentExecutor:
-    """Construct a Sigma agent from an LLM and tools.
-
-    Args:
-        agent_llm (BaseLanguageModel, optional): The LLM to use for the agent. Defaults to ChatOpenAI(model="gpt-4o").
-        rule_creation_llm (BaseLanguageModel, optional): The LLM to use for the rule creation tool. Defaults to ChatOpenAI(model="gpt-4o").
-        sigma_vectorstore (VectorStore, optional): The vectorstore containing Sigma rules to use for the agent. Defaults to None.
-        toolkit (Type[SigmaToolkit], optional): The toolkit to use for the agent. Defaults to SigmaToolkit.
-        prompt (Optional[ChatPromptTemplate], optional): The prompt to use for the agent. Defaults to SIGMA_AGENT_PROMPT.
-        verbose (bool, optional): Whether to print verbose output. Defaults to False.
-        return_intermediate_steps (bool, optional): Whether to return intermediate steps. Defaults to False.
-        agent_executor_kwargs (Optional[Dict[str, Any]], optional): Additional kwargs to pass to the AgentExecutor. Defaults to None.
-
-    Returns:
-        AgentExecutor: Returns a callable AgentExecutor object. Either you can call it or use run method with the query to get the response
-    """  # noqa: E501
-
-    # Get Sigma Tools from the SigmaToolkit. Init with sigma vectorstore and rule creation llm
-    tools = toolkit(sigmadb=sigma_vectorstore, rule_creation_llm=rule_creation_llm).get_tools()
-
-    # Create OpenAI Function for each tool for the agent LLM, so we can create an OpenAI Function AgentExecutor
-    llm_with_tools = agent_llm.bind(functions=[convert_to_openai_function(t) for t in tools])
-
-    # Create the agent
-    agent = (
-        {
-            "input": lambda x: x["input"],
-            "agent_scratchpad": lambda x: format_to_openai_function_messages(x["intermediate_steps"]),
-        }
-        | prompt
-        | llm_with_tools
-        | CustomOpenAIFunctionsAgentOutputParser()
-    )
-
-    # Create and return the AgentExecutor
-    agent_executor = AgentExecutor(
-        agent=agent,
-        tools=tools,
-        verbose=verbose,
-        return_intermediate_steps=return_intermediate_steps,
-        handle_parsing_errors=True,
-        **(agent_executor_kwargs or {}),
-    )
-
-    return agent_executor
-
-
-class CustomOpenAIFunctionsAgentOutputParser(OpenAIFunctionsAgentOutputParser):
-    """Custom OpenAIFunctionsAgentOutputParser to overcome the JSON parsing error on some agent
-        intermediate step inputs. This occurs because the `json.load()` method needs the arg `strict=False` to
-    parse the JSON. This is a hacky way to do this, but it works for now.
-    """
-    # Override
-    @staticmethod
-    def _parse_ai_message(message: BaseMessage) -> Union[AgentAction, AgentFinish]:
-        """Parse an AI message."""
-        if not isinstance(message, AIMessage):
-            raise TypeError(f"Expected an AI message got {type(message)}")
-
-        function_call = message.additional_kwargs.get("function_call", {})
-
-        if function_call:
-            function_name = function_call["name"]
-            try:
-                _tool_input = json.loads(function_call["arguments"].strip(), strict=False)  # HACK
-            except JSONDecodeError:
-                raise OutputParserException(
-                    f"Could not parse tool input: {function_call} because " f"the `arguments` is not valid JSON."
-                )
-
-            # HACK HACK HACK:
-            # The code that encodes tool input into Open AI uses a special variable
-            # name called `__arg1` to handle old style tools that do not expose a
-            # schema and expect a single string argument as an input.
-            # We unpack the argument here if it exists.
-            # Open AI does not support passing in a JSON array as an argument.
-            if "__arg1" in _tool_input:
-                tool_input = _tool_input["__arg1"]
-            else:
-                tool_input = _tool_input
-
-            content_msg = f"responded: {message.content}\n" if message.content else "\n"
-            log = f"\nInvoking: `{function_name}` with `{tool_input}`\n{content_msg}\n"
-            return AgentActionMessageLog(
-                tool=function_name,
-                tool_input=tool_input,
-                log=log,
-                message_log=[message],
-            )
-
-        return AgentFinish(return_values={"output": message.content}, log=str(message.content))
+# stdlib
+import json
+from json import JSONDecodeError
+from typing import Optional, Dict, Any, Type, Union
+
+# langchain
+from langchain.agents.agent import AgentExecutor
+from langchain.agents.format_scratchpad import format_to_openai_function_messages
+from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
+from langchain.prompts import ChatPromptTemplate
+# langchain typing
+from langchain.schema import (AgentAction, AgentFinish, OutputParserException, )
+from langchain.schema.agent import AgentActionMessageLog
+from langchain.schema.language_model import BaseLanguageModel
+from langchain.schema.messages import (AIMessage, BaseMessage, )
+from langchain.schema.vectorstore import VectorStore
+from langchain_core.utils.function_calling import convert_to_openai_function
+from langchain_openai import ChatOpenAI
+
+from sigmaiq.llm.toolkits.prompts import SIGMA_AGENT_PROMPT
+# sigmaiq
+from sigmaiq.llm.toolkits.sigma_toolkit import SigmaToolkit
+
+
+def create_sigma_agent(agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
+        rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"), sigma_vectorstore: VectorStore = None,
+        toolkit: Type[SigmaToolkit] = SigmaToolkit, prompt: Optional[ChatPromptTemplate] = SIGMA_AGENT_PROMPT,
+        verbose: bool = False, return_intermediate_steps: bool = False,
+        agent_executor_kwargs: Optional[Dict[str, Any]] = None, ) -> AgentExecutor:
+    """Construct a Sigma agent from an LLM and tools.
+
+    Args:
+        agent_llm (BaseLanguageModel, optional): The LLM to use for the agent. Defaults to ChatOpenAI(model="gpt-4o").
+        rule_creation_llm (BaseLanguageModel, optional): The LLM to use for the rule creation tool. Defaults to ChatOpenAI(model="gpt-4o").
+        sigma_vectorstore (VectorStore, optional): The vectorstore containing Sigma rules to use for the agent. Defaults to None.
+        toolkit (Type[SigmaToolkit], optional): The toolkit to use for the agent. Defaults to SigmaToolkit.
+        prompt (Optional[ChatPromptTemplate], optional): The prompt to use for the agent. Defaults to SIGMA_AGENT_PROMPT.
+        verbose (bool, optional): Whether to print verbose output. Defaults to False.
+        return_intermediate_steps (bool, optional): Whether to return intermediate steps. Defaults to False.
+        agent_executor_kwargs (Optional[Dict[str, Any]], optional): Additional kwargs to pass to the AgentExecutor. Defaults to None.
+
+    Returns:
+        AgentExecutor: Returns a callable AgentExecutor object. Either you can call it or use run method with the query to get the response
+    """  # noqa: E501
+
+    # Get Sigma Tools from the SigmaToolkit. Init with sigma vectorstore and rule creation llm
+    tools = toolkit(sigmadb=sigma_vectorstore, rule_creation_llm=rule_creation_llm).get_tools()
+
+    # Assert if any of the tools does not have arun
+    for tool in tools:
+        assert hasattr(tool, 'arun'), f"Tool {tool.name} does not have an 'arun' method"
+
+    # Create OpenAI Function for each tool for the agent LLM, so we can create an OpenAI Function AgentExecutor
+    llm_with_tools = agent_llm.bind(functions=[convert_to_openai_function(t) for t in tools])
+
+    # Create the agent
+    agent = ({"input": lambda x: x["input"], "agent_scratchpad": lambda x: format_to_openai_function_messages(
+        x["intermediate_steps"]), } | prompt | llm_with_tools | CustomOpenAIFunctionsAgentOutputParser())
+
+    # Create and return the AgentExecutor
+    agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=verbose,
+        return_intermediate_steps=return_intermediate_steps, handle_parsing_errors=True,
+        **(agent_executor_kwargs or {}))
+
+    return agent_executor
+
+
+class CustomOpenAIFunctionsAgentOutputParser(OpenAIFunctionsAgentOutputParser):
+    """Custom OpenAIFunctionsAgentOutputParser to overcome the JSON parsing error on some agent
+    intermediate step inputs. This occurs because the `json.load()` method needs the arg `strict=False` to
+parse the JSON. This is a hacky way to do this, but it works for now.
+    """
+
+    # Override
+    @staticmethod
+    def _parse_ai_message(message: BaseMessage) -> Union[AgentAction, AgentFinish]:
+        """Parse an AI message."""
+        if not isinstance(message, AIMessage):
+            raise TypeError(f"Expected an AI message got {type(message)}")
+
+        function_call = message.additional_kwargs.get("function_call", {})
+
+        if function_call:
+            function_name = function_call["name"]
+            try:
+                _tool_input = json.loads(function_call["arguments"].strip(), strict=False)  # HACK
+            except JSONDecodeError:
+                raise OutputParserException(f"Could not parse tool input: {function_call} because "
+                                            f"the `arguments` is not valid JSON.")
+
+            # HACK HACK HACK:
+            # The code that encodes tool input into Open AI uses a special variable
+            # name called `__arg1` to handle old style tools that do not expose a
+            # schema and expect a single string argument as an input.
+            # We unpack the argument here if it exists.
+            # Open AI does not support passing in a JSON array as an argument.
+            if "__arg1" in _tool_input:
+                tool_input = _tool_input["__arg1"]
+            else:
+                tool_input = _tool_input
+
+            content_msg = f"responded: {message.content}\n" if message.content else "\n"
+            log = f"\nInvoking: `{function_name}` with `{tool_input}`\n{content_msg}\n"
+            return AgentActionMessageLog(tool=function_name, tool_input=tool_input, log=log, message_log=[message], )
+
+        return AgentFinish(return_values={"output": message.content}, log=str(message.content))

From 50fd56374f84b410679c370efe0459c13f94d55a Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 5 Oct 2024 20:52:47 -0700
Subject: [PATCH 32/47] Refactor to use async main function for rule processing

Moved logic into an async main function to handle various rule translations and queries. This change ensures that asynchronous invocations are properly awaited, improving efficiency and readability. Added asyncio.run(main()) entry point for script execution.
---
 examples/llm_rule_translation_and_creation.py | 154 +++++++++---------
 1 file changed, 80 insertions(+), 74 deletions(-)

diff --git a/examples/llm_rule_translation_and_creation.py b/examples/llm_rule_translation_and_creation.py
index 7ee7326..908dfcd 100644
--- a/examples/llm_rule_translation_and_creation.py
+++ b/examples/llm_rule_translation_and_creation.py
@@ -22,83 +22,89 @@
 # %% Create a Sigma Agent Executor, and pass it our Sigma VectorDB
 sigma_agent_executor = create_sigma_agent(sigma_vectorstore=sigma_llm.sigmadb)
 
-print("\n--------\nRULE TRANSLATION\n--------\n")
-# %% RULE TRANSLATION
-# %% Have the agent automatically translate a Sigma rule to a Splunk query with the splunk_cim_dm pipeline
-user_input = (
-    "Convert this Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n"
-    + "title: whoami Command\n"
-    + "description: Detects a basic whoami commandline execution\n"
-    + "logsource:\n"
-    + "    product: windows\n"
-    + "    category: process_creation\n"
-    + "detection:\n"
-    + "    selection1:\n"
-    + "        - CommandLine|contains: 'whoami.exe'\n"
-    + "    condition: selection1"
-)
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get("output"), end="\n\n")
-
-# %% RULE SEARCHING
-# %% The agent will find official Sigma rules in the Sigma vector store based on the context of the users input.
-print("\n--------\nRULE SEARCHING\n--------\n")
-
-user_input = (
-    "What Sigma Rule can detect a process creation event where the parent process is word.exe and the child "
-    "process is cmd.exe?"
-)
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get("output"), end="\n\n")
-
-# %% QUERY TO SIGMA RULE CONVERSION
-# %% If you already have a query and want to convert it back to a Sigma Rule
-print("\n--------\nQUERY TO SIGMA RULE \n--------\n")
-
-user_input = """
+
+async def main():
+    print("\n--------\nRULE TRANSLATION\n--------\n")
+    # %% RULE TRANSLATION
+    # %% Have the agent automatically translate a Sigma rule to a Splunk query with the splunk_cim_dm pipeline
+    user_input = (
+        "Convert this Sigma rule to a Splunk query using the 'splunk_cim_dm' pipeline: \n\n"
+        + "title: whoami Command\n"
+        + "description: Detects a basic whoami commandline execution\n"
+        + "logsource:\n"
+        + "    product: windows\n"
+        + "    category: process_creation\n"
+        + "detection:\n"
+        + "    selection1:\n"
+        + "        - CommandLine|contains: 'whoami.exe'\n"
+        + "    condition: selection1"
+    )
+
+    answer = await sigma_agent_executor.ainvoke({"input": user_input})
+    print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+    print("ANSWER: \n")
+    print(answer.get("output"), end="\n\n")
+
+    # %% RULE SEARCHING
+    # %% The agent will find official Sigma rules in the Sigma vector store based on the context of the users input.
+    print("\n--------\nRULE SEARCHING\n--------\n")
+
+    user_input = (
+        "What Sigma Rule can detect a process creation event where the parent process is word.exe and the child "
+        "process is cmd.exe?"
+    )
+
+    answer = await sigma_agent_executor.ainvoke({"input": user_input})
+    print(f"QUESTION:\n {user_input}", end="\n\n")
+    print("ANSWER: \n")
+    print(answer.get("output"), end="\n\n")
+
+    # %% QUERY TO SIGMA RULE CONVERSION
+    # %% If you already have a query and want to convert it back to a Sigma Rule
+    print("\n--------\nQUERY TO SIGMA RULE \n--------\n")
+
+    user_input = """
 Convert this Microsoft365Defender query into a Sigma Rule:
 DeviceProcessEvents
 | where ((ProcessCommandLine contains "powershell.exe -enc" or ProcessCommandLine contains "cmd.exe /c" or ProcessCommandLine contains "rundll32.exe") or (InitiatingProcessFolderPath endswith "\\explorer.exe" or InitiatingProcessFolderPath endswith "\\svchost.exe")) and (not((ProcessCommandLine contains "schtasks" or ProcessCommandLine contains "tasklist")))
 
 """
 
-answer = asyncio.run(sigma_agent_executor.ainvoke({"input": user_input}))
-print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get("output"), end="\n\n")
-
-# %% RULE CREATION
-# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
-# %% new rule based on the context of the users input and the similar Sigma Rules.
-print("\n--------\nRULE CREATION\n--------\n")
-
-user_input = (
-    "Create a Windows process creation Sigma Rule for certutil downloading a file "
-    "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
-)
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get("output"), end="\n\n")
-
-# %% RULE CREATION + TRANSLATION
-# %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
-# %% new rule based on the context of the users input and the similar Sigma Rules. Then convert it to a M365 query
-print("\n--------\nRULE CREATION + TRANSLATION\n--------\n")
-
-user_input = (
-    "Create a Windows process creation Sigma Rule for certutil downloading a file "
-    "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
-)
-
-answer = sigma_agent_executor.invoke({"input": user_input})
-print(f"QUESTION:\n {user_input}", end="\n\n")
-print("ANSWER: \n")
-print(answer.get("output"), end="\n\n")
+    answer = await sigma_agent_executor.ainvoke({"input": user_input})
+    print(f"\n\nQUESTION:\n {user_input}", end="\n\n")
+    print("ANSWER: \n")
+    print(answer.get("output"), end="\n\n")
+
+    # %% RULE CREATION
+    # %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
+    # %% new rule based on the context of the users input and the similar Sigma Rules.
+    print("\n--------\nRULE CREATION\n--------\n")
+
+    user_input = (
+        "Create a Windows process creation Sigma Rule for certutil downloading a file "
+        "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
+    )
+
+    answer = await sigma_agent_executor.ainvoke({"input": user_input})
+    print(f"QUESTION:\n {user_input}", end="\n\n")
+    print("ANSWER: \n")
+    print(answer.get("output"), end="\n\n")
+
+    # %% RULE CREATION + TRANSLATION
+    # %% The agent will take the user input, look up similar Sigma Rules in the Sigma vector store, then create a brand
+    # %% new rule based on the context of the users input and the similar Sigma Rules. Then convert it to a M365 query
+    print("\n--------\nRULE CREATION + TRANSLATION\n--------\n")
+
+    user_input = (
+        "Create a Windows process creation Sigma Rule for certutil downloading a file "
+        "from definitely-not-malware.com, then translate it to a Microsoft 365 Defender query."
+    )
+
+    answer = await sigma_agent_executor.ainvoke({"input": user_input})
+    print(f"QUESTION:\n {user_input}", end="\n\n")
+    print("ANSWER: \n")
+    print(answer.get("output"), end="\n\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

From fb34c4f7af0ac10068c9ca893a29a32dc3748fa9 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Wed, 9 Oct 2024 11:44:03 -0700
Subject: [PATCH 33/47] Rebasing with latest changes from Stephen Lincoln.

Update dependencies in poetry.lock

Upgraded "anyio", "black", and "charset-normalizer" to their latest versions. Adjusted Python version requirements for "anyio" and "black" to >= 3.9. Simplified extras for "black" by adjusting aiohttp dependency.
---
 examples/translate_sigma_rules.py |    2 +-
 poetry.lock                       | 1282 ++++++++++++++++-------------
 pyproject.toml                    |   23 +-
 3 files changed, 729 insertions(+), 578 deletions(-)

diff --git a/examples/translate_sigma_rules.py b/examples/translate_sigma_rules.py
index 575566a..ec88101 100644
--- a/examples/translate_sigma_rules.py
+++ b/examples/translate_sigma_rules.py
@@ -32,7 +32,7 @@
 
 # %% Create SigmAIQ backend translate the rule to a Microsoft 365 Defender query
 # %% SigmAIQ will automatically select the best pipeline for the backend
-sigmaiq_backend = SigmAIQBackend(backend="microsoft365defender").create_backend()
+sigmaiq_backend = SigmAIQBackend(backend="microsoft_xdr").create_backend()
 query = sigmaiq_backend.translate(copy(sigma_rule))  # Returns List of queries
 
 print("\nM365Defender Query: ", end="\n\n")
diff --git a/poetry.lock b/poetry.lock
index 873ba06..239979b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -148,18 +148,15 @@ files = [
     {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
-[package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
-
 [[package]]
 name = "anyio"
-version = "4.5.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 [package.dependencies]
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-version = "24.8.0"
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 [package.dependencies]
@@ -245,7 +242,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
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-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
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+version = "3.4.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 python-versions = ">=3.7.0"
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 [[package]]
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 PyYAML = ">=5.3"
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 requests = ">=2,<3"
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 testing = ["pytest", "pytest-benchmark"]
 
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 name = "pydantic"
 version = "2.9.2"
@@ -1605,17 +1736,31 @@ pysigma = ">=0.9.6"
 
 [[package]]
 name = "pysigma-backend-cortexxdr"
-version = "0.1.2"
+version = "0.1.4"
 description = "pySigma CortexXDR backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
+files = [
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+
+[package.dependencies]
+pysigma = ">=0.11.3"
+
+[[package]]
+name = "pysigma-backend-crowdstrike"
+version = "2.0.0"
+description = "pySigma CrowdStrike Logscale backend and processing pipelines for the Falcon data model."
+optional = false
+python-versions = "<4.0,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
-pysigma = ">=0.9.8"
+pysigma = ">=0.11.3,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
@@ -1632,33 +1777,61 @@ files = [
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 [[package]]
-name = "pysigma-backend-loki"
-version = "0.11.5"
-description = "pySigma Loki backend"
+name = "pysigma-backend-insightidr"
+version = "0.2.4"
+description = "pySigma Rapid7 InsightIDR backend"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 [package.dependencies]
-pysigma = ">=0.11.6,<0.12.0"
+pysigma = ">=0.10.1,<0.12.0"
 
 [[package]]
-name = "pysigma-backend-microsoft365defender"
-version = "0.2.6"
-description = "pySigma Microsoft 365 Defender backend"
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+version = "0.4.2"
+description = "pySigma Kusto backend"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
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 ]
 
 [package.dependencies]
 certifi = ">=2023.07.22"
-pysigma = ">=0.9.0"
+pysigma = ">=0.10.0"
+
+[[package]]
+name = "pysigma-backend-loki"
+version = "0.12.2"
+description = "pySigma Loki backend"
+optional = false
+python-versions = "<4.0,>=3.8"
+files = [
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+
+[package.dependencies]
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+
+[[package]]
+name = "pysigma-backend-netwitness"
+version = "0.1.3"
+description = "pySigma NetWitness backend"
+optional = false
+python-versions = "<4.0,>=3.9"
+files = [
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+]
+
+[package.dependencies]
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 [[package]]
 name = "pysigma-backend-opensearch"
@@ -1723,32 +1896,14 @@ name = "pysigma-backend-stix2"
 version = "0.2.0"
 description = "STIX language backend for pySigma convertor. Forked from https://github.com/barvhaim/pySigma-backend-stix and updated to support latest pySigma versions."
 optional = false
-python-versions = "^3.8"
-files = []
-develop = false
-
-[package.dependencies]
-pysigma = ">=0.9.5, <0.12.0"
-
-[package.source]
-type = "git"
-url = "https://github.com/slincoln-aiq/pySigma-backend-stix"
-reference = "HEAD"
-resolved_reference = "9d4a2294397682cc30946dcd9af40b04213dd7d1"
-
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-version = "1.0.3"
-description = "pySigma CrowdStrike processing pipelines"
-optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
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 [package.dependencies]
-pysigma = ">=0.11.3,<0.12.0"
+pysigma = ">=0.9.5,<0.12.0"
 
 [[package]]
 name = "pysigma-pipeline-sysmon"
@@ -2159,47 +2314,41 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "tiktoken"
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+version = "0.8.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
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 [package.dependencies]
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+    {file = "yarl-1.14.0-cp39-cp39-win_amd64.whl", hash = "sha256:b6d0147574ce2e7b812c989e50fa72bbc5338045411a836bd066ce5fc8ac0bce"},
+    {file = "yarl-1.14.0-py3-none-any.whl", hash = "sha256:c8ed4034f0765f8861620c1f2f2364d2e58520ea288497084dae880424fc0d9f"},
+    {file = "yarl-1.14.0.tar.gz", hash = "sha256:88c7d9d58aab0724b979ab5617330acb1c7030b79379c8138c1c8c94e121d1b3"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
@@ -2409,5 +2559,5 @@ type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.8.1, <=3.11.6"
-content-hash = "f21bc6f1ea6fbdf0e735a9023d6b26a863bc55095a10ccbb169da931b5471ef6"
+python-versions = ">=3.9, <=3.12"
+content-hash = "c34e45f82935307176d98f31f60b08658577c9767b940eaf649aeb94ff6e7c51"
diff --git a/pyproject.toml b/pyproject.toml
index 9bca4f7..757fad8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,21 +20,22 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.8.1, <=3.11.6"
+python = ">=3.9, <=3.12"
+pysigma = "^0.11.14"
 certifi = "*"
-pysigma = "^0.11.3"
-pysigma-backend-carbonblack = "^0.1.6"
-pysigma-backend-cortexxdr = "0.1.2" # RS pinning this to avoid exception, try again after few weeks
-pysigma-backend-elasticsearch = "^01.0.12"
-#pysigma-backend-insightidr = "^0.2.2"
-pysigma-backend-loki = "^0.11.0"
-pysigma-backend-microsoft365defender = "^0.2.4"
+pysigma-backend-carbonblack = "^0.1.8"
+pysigma-backend-cortexxdr = "^0.1.4"
+pysigma-backend-crowdstrike = "^2.0.0"
+pysigma-backend-elasticsearch = "^1.1.2"
+pysigma-backend-insightidr = "^0.2.4"
+pysigma-backend-kusto = "^0.4.0"
+pysigma-backend-loki = "^0.12.0"
+pysigma-backend-netwitness = "^0.1.3"
 pysigma-backend-opensearch = "^1.0.2"
 pysigma-backend-qradar-aql = "^0.3.2"
 pysigma-backend-sentinelone = "^0.1.3"
-pysigma-backend-splunk = "^1.0.3"
-pysigma-backend-stix2 = {git="https://github.com/slincoln-aiq/pySigma-backend-stix"}
-pysigma-pipeline-crowdstrike = "^1.0.3"
+pysigma-backend-splunk = "^1.1.0"
+pysigma-backend-stix2 = "^0.2.0"
 pysigma-pipeline-sysmon = "^1.0.4"
 pysigma-pipeline-windows = "^1.2.0"
 importlib-resources = "*"

From c1fdc881c00adad4bc3e06c5b7477afe9e88dfce Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Sat, 26 Oct 2024 12:20:59 -0700
Subject: [PATCH 34/47] Update aiohttp to version 3.10.10

This update includes a minor version bump from 3.10.9 to 3.10.10 for the aiohttp package. The change primarily involves new file hashes and ensures compatibility and improvements found in the latest release.
---
 poetry.lock | 1106 ++++++++++++++++++++++++++-------------------------
 1 file changed, 560 insertions(+), 546 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 239979b..1f01572 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,102 +13,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91aa966858593f64c8a65cdefa3d6dc8fe3c2768b159da84c1ddbbb2c01ab4ef"},
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:63649309da83277f06a15bbdc2a54fbe75efb92caa2c25bb57ca37762789c746"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3e7fabedb3fe06933f47f1538df7b3a8d78e13d7167195f51ca47ee12690373"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c070430fda1a550a1c3a4c2d7281d3b8cfc0c6715f616e40e3332201a253067"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:51d0a4901b27272ae54e42067bc4b9a90e619a690b4dc43ea5950eb3070afc32"},
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-    {file = "aiohttp-3.10.9-cp310-cp310-win32.whl", hash = "sha256:aeebd3061f6f1747c011e1d0b0b5f04f9f54ad1a2ca183e687e7277bef2e0da2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:fa430b871220dc62572cef9c69b41e0d70fcb9d486a4a207a5de4c1f25d82593"},
-    {file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:16e6a51d8bc96b77f04a6764b4ad03eeef43baa32014fce71e882bd71302c7e4"},
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@@ -150,13 +150,13 @@ files = [
 
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 [package.extras]
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 trio = ["trio (>=0.26.1)"]
 
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 [[package]]
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 [package.dependencies]
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 [package.extras]
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+tests = ["pytest", "simplejson"]
 
 [[package]]
 name = "multidict"
@@ -1319,13 +1334,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.51.2"
+version = "1.52.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
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 ]
 
 [package.dependencies]
@@ -1343,68 +1358,69 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
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 [[package]]
@@ -1690,13 +1706,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
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 optional = false
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 [[package]]
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 [package.dependencies]
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 aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
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 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
 mssql-pyodbc = ["pyodbc"]
@@ -2434,103 +2458,93 @@ zstd = ["zstandard (>=0.18.0)"]
 
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 ]
 
 [package.dependencies]

From 03e736806bc7866a6f715f2d9d5adbbea4c05639 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Wed, 30 Oct 2024 21:16:34 -0700
Subject: [PATCH 35/47] Update package versions in poetry.lock

Upgraded versions for several packages including langchain-core, langsmith, openai, pytest-cov, tqdm, and yarl. These changes improve compatibility and may include bug fixes and new features. Adjusted dependencies where necessary to support these updates.
---
 poetry.lock | 200 ++++++++++++++++++++++++++--------------------------
 1 file changed, 100 insertions(+), 100 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1f01572..02c244b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1017,13 +1017,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.41"
+version = "0.2.42"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
-    {file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
+    {file = "langchain_core-0.2.42-py3-none-any.whl", hash = "sha256:09503fdfb9efa163e51f2d9762894fde04797d0a41462c0e6072ef78028e48fd"},
+    {file = "langchain_core-0.2.42.tar.gz", hash = "sha256:e4ea04b22bd6398048d0ef97cd3132fbdd80e6c749863ee96e6b7c88502ff913"},
 ]
 
 [package.dependencies]
@@ -1067,13 +1067,13 @@ langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.137"
+version = "0.1.138"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.137-py3-none-any.whl", hash = "sha256:4256d5c61133749890f7b5c88321dbb133ce0f440c621ea28e76513285859b81"},
-    {file = "langsmith-0.1.137.tar.gz", hash = "sha256:56cdfcc6c74cb20a3f437d5bd144feb5bf93f54c5a2918d1e568cbd084a372d4"},
+    {file = "langsmith-0.1.138-py3-none-any.whl", hash = "sha256:5c2bd5c11c75f7b3d06a0f06b115186e7326ca969fd26d66ffc65a0669012aee"},
+    {file = "langsmith-0.1.138.tar.gz", hash = "sha256:1ecf613bb52f6bf17f1510e24ad8b70d4b0259bc9d3dbfd69b648c66d4644f0b"},
 ]
 
 [package.dependencies]
@@ -1334,13 +1334,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.52.2"
+version = "1.53.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.52.2-py3-none-any.whl", hash = "sha256:57e9e37bc407f39bb6ec3a27d7e8fb9728b2779936daa1fcf95df17d3edfaccc"},
-    {file = "openai-1.52.2.tar.gz", hash = "sha256:87b7d0f69d85f5641678d414b7ee3082363647a5c66a462ed7f3ccb59582da0d"},
+    {file = "openai-1.53.0-py3-none-any.whl", hash = "sha256:20f408c32fc5cb66e60c6882c994cdca580a5648e10045cd840734194f033418"},
+    {file = "openai-1.53.0.tar.gz", hash = "sha256:be2c4e77721b166cce8130e544178b7d579f751b4b074ffbaade3854b6f85ec5"},
 ]
 
 [package.dependencies]
@@ -1973,17 +1973,17 @@ dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments
 
 [[package]]
 name = "pytest-cov"
-version = "5.0.0"
+version = "6.0.0"
 description = "Pytest plugin for measuring coverage."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
-    {file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
+    {file = "pytest-cov-6.0.0.tar.gz", hash = "sha256:fde0b595ca248bb8e2d76f020b465f3b107c9632e6a1d1705f17834c89dcadc0"},
+    {file = "pytest_cov-6.0.0-py3-none-any.whl", hash = "sha256:eee6f1b9e61008bd34975a4d5bab25801eb31898b032dd55addc93e96fcaaa35"},
 ]
 
 [package.dependencies]
-coverage = {version = ">=5.2.1", extras = ["toml"]}
+coverage = {version = ">=7.5", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
@@ -2395,13 +2395,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.5"
+version = "4.66.6"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
-    {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
+    {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"},
+    {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"},
 ]
 
 [package.dependencies]
@@ -2458,93 +2458,93 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "yarl"
-version = "1.16.0"
+version = "1.17.1"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.9"
 files = [
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-    {file = "yarl-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de6c14dd7c7c0badba48157474ea1f03ebee991530ba742d381b28d4f314d6f3"},
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 ]
 
 [package.dependencies]

From 223ec208db79b9c613e85449de4992e0a36ce123 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 5 Nov 2024 13:57:33 -0800
Subject: [PATCH 36/47] Refactor imports and update dependencies

Reorganized import statements for better readability and fixed verbose attribute declarations in various tools. Updated dependencies in `poetry.lock` including adding `httpx-sse` and upgrading `jiter` to version `0.7.0`.
---
 examples/custom_field_mappings.py         |   7 +-
 examples/llm_basic_usage.py               |   7 +-
 poetry.lock                               | 469 ++++++++++++----------
 pyproject.toml                            |   8 +-
 sigmaiq/llm/tools/create_sigma_rule.py    |   7 +-
 sigmaiq/llm/tools/find_sigma_rule.py      |   9 +-
 sigmaiq/llm/tools/query_to_sigma_rule.py  |   9 +-
 sigmaiq/llm/tools/translate_sigma_rule.py |  11 +-
 8 files changed, 279 insertions(+), 248 deletions(-)

diff --git a/examples/custom_field_mappings.py b/examples/custom_field_mappings.py
index 8325c21..e296418 100644
--- a/examples/custom_field_mappings.py
+++ b/examples/custom_field_mappings.py
@@ -1,12 +1,13 @@
 # %% This example shows how to use the SigmAIQ pySigma wrapper to provide custom field mappings for a backend
 # %% This will allow you to translate specific field names to custom field names during rule translation
 
-# %% Import SigmAIQ
-from sigmaiq import SigmAIQBackend, SigmAIQPipeline
+from copy import copy
 
 # %% Import pprint for pretty printing, and copy for copying rules
 from pprint import pprint
-from copy import copy
+
+# %% Import SigmAIQ
+from sigmaiq import SigmAIQBackend, SigmAIQPipeline
 
 # %% A basic Sigma Rule in YAML str to convert to a query.
 # %% SigmAIQ also accepts a rule in JSON/Dict format, SigmaRule objects, and SigmaCollection objects
diff --git a/examples/llm_basic_usage.py b/examples/llm_basic_usage.py
index 97019dc..db80714 100644
--- a/examples/llm_basic_usage.py
+++ b/examples/llm_basic_usage.py
@@ -3,7 +3,6 @@
 # %% 2. Create embeddings of the Sigma Rules in the package
 # %% 3. Create and save a VectorDB of the Sigma Rule embeddings
 # %% 4. Use a similarity search on the VectorDB to find Sigma Rules similar to a provided query
-from pprint import pprint
 
 # %% NOTE, this example uses OpenAI for embeddings. Ensure you have an OpenAI API key set in your environment variable
 # %% OPENAI_API_KEY
@@ -12,12 +11,12 @@
 # `pip install -r requirements/common.txt -r requirements/llm.txt`
 
 
-# %% Import SigmAIQ LLM and OpenAIEmbeddings
-from sigmaiq.llm.base import SigmaLLM
-
 # %% Create a SigmaLLM object with default settings. See the class docstring for more information
 from langchain_openai import OpenAIEmbeddings
 
+# %% Import SigmAIQ LLM and OpenAIEmbeddings
+from sigmaiq.llm.base import SigmaLLM
+
 sigma_llm = SigmaLLM(embedding_model=OpenAIEmbeddings(model="text-embedding-3-large"))
 
 # %% The `create_sigma_vectordb()` method will automatically do all the work for you :) (only run this once)
diff --git a/poetry.lock b/poetry.lock
index 02c244b..ca55f92 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -791,6 +791,17 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "httpx-sse"
+version = "0.4.0"
+description = "Consume Server-Sent Event (SSE) messages with HTTPX."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
+    {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
+]
+
 [[package]]
 name = "idna"
 version = "3.10"
@@ -857,84 +868,84 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "jiter"
-version = "0.6.1"
+version = "0.7.0"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -964,116 +975,118 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.16"
+version = "0.3.7"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
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-langchain-core = ">=0.2.38,<0.3.0"
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 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
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     {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
 ]
-pydantic = ">=1,<3"
+pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.17"
+version = "0.3.4"
 description = "Community contributed LangChain integrations."
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
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 numpy = [
     {version = ">=1,<2", markers = "python_version < \"3.12\""},
     {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
 ]
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 PyYAML = ">=5.3"
 requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.42"
+version = "0.3.15"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
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+langsmith = ">=0.1.125,<0.2.0"
 packaging = ">=23.2,<25"
-pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
+pydantic = {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
-tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10.0.0"
 typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.25"
+version = "0.2.5"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
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-openai = ">=1.40.0,<2.0.0"
+langchain-core = ">=0.3.15,<0.4.0"
+openai = ">=1.52.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.2.4"
+version = "0.3.2"
 description = "LangChain text splitting utilities"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.38,<0.3.0"
+langchain-core = ">=0.3.15,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.138"
+version = "0.1.139"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langsmith-0.1.138.tar.gz", hash = "sha256:1ecf613bb52f6bf17f1510e24ad8b70d4b0259bc9d3dbfd69b648c66d4644f0b"},
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+    {file = "langsmith-0.1.139.tar.gz", hash = "sha256:2f9e4d32fef3ad7ef42c8506448cce3a31ad6b78bb4f3310db04ddaa1e9d744d"},
 ]
 
 [package.dependencies]
@@ -1155,13 +1168,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.23.0"
+version = "3.23.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
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-    {file = "marshmallow-3.23.0.tar.gz", hash = "sha256:98d8827a9f10c03d44ead298d2e99c6aea8197df18ccfad360dae7f89a50da2e"},
+    {file = "marshmallow-3.23.1-py3-none-any.whl", hash = "sha256:fece2eb2c941180ea1b7fcbd4a83c51bfdd50093fdd3ad2585ee5e1df2508491"},
+    {file = "marshmallow-3.23.1.tar.gz", hash = "sha256:3a8dfda6edd8dcdbf216c0ede1d1e78d230a6dc9c5a088f58c4083b974a0d468"},
 ]
 
 [package.dependencies]
@@ -1169,7 +1182,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
-docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -1334,13 +1347,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.53.0"
+version = "1.54.1"
 description = "The official Python library for the openai API"
 optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
 files = [
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+    {file = "openai-1.54.1-py3-none-any.whl", hash = "sha256:3cb49ccb6bfdc724ad01cc397d323ef8314fc7d45e19e9de2afdd6484a533324"},
+    {file = "openai-1.54.1.tar.gz", hash = "sha256:5b832bf82002ba8c4f6e5e25c1c0f5d468c22f043711544c716eaffdb30dd6f1"},
 ]
 
 [package.dependencies]
@@ -1358,69 +1371,69 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "orjson"
-version = "3.10.10"
+version = "3.10.11"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
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+    {file = "orjson-3.10.11.tar.gz", hash = "sha256:e35b6d730de6384d5b2dab5fd23f0d76fae8bbc8c353c2f78210aa5fa4beb3ef"},
 ]
 
 [[package]]
@@ -1704,6 +1717,26 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pydantic-settings"
+version = "2.6.1"
+description = "Settings management using Pydantic"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.6.1-py3-none-any.whl", hash = "sha256:7fb0637c786a558d3103436278a7c4f1cfd29ba8973238a50c5bb9a55387da87"},
+    {file = "pydantic_settings-2.6.1.tar.gz", hash = "sha256:e0f92546d8a9923cb8941689abf85d6601a8c19a23e97a34b2964a2e3f813ca0"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
+
+[package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
 [[package]]
 name = "pyparsing"
 version = "3.2.0"
@@ -1780,17 +1813,17 @@ pysigma = ">=0.11.13,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-elasticsearch"
-version = "1.1.2"
+version = "1.1.3"
 description = "pySigma Elasticsearch backend supporting Lucene, ES|QL (with correlations) and EQL queries"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pysigma_backend_elasticsearch-1.1.2-py3-none-any.whl", hash = "sha256:10843c651ef38cf4f4593ac795859696dbee790868fa28c344398b780bb36785"},
-    {file = "pysigma_backend_elasticsearch-1.1.2.tar.gz", hash = "sha256:b9c69e768ee9335c533407a5fbc4f37e09b1181ceafe470effdbd504aa0c3ecb"},
+    {file = "pysigma_backend_elasticsearch-1.1.3-py3-none-any.whl", hash = "sha256:a4badec976d6c280c61384c542096f38b92b759ef1a0b7a0a3e4aa51f9c01d57"},
+    {file = "pysigma_backend_elasticsearch-1.1.3.tar.gz", hash = "sha256:76680f1373d65a3d09ac466fd15e25c7287f6cad5e323326ca790441ba44f99c"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.3,<0.12.0"
+pysigma = ">=0.11.7,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-insightidr"
@@ -1851,18 +1884,18 @@ pysigma = ">=0.11.9,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-opensearch"
-version = "1.0.2"
+version = "1.0.3"
 description = "pySigma OpenSearch backend"
 optional = false
-python-versions = "<4.0,>=3.8"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pysigma_backend_opensearch-1.0.2-py3-none-any.whl", hash = "sha256:a97abf627fdc3a4eec391ba98241b1d035ebfde9f2df88667b70e01fc7bf9687"},
-    {file = "pysigma_backend_opensearch-1.0.2.tar.gz", hash = "sha256:131a9389626b4ac1ddd2f892c8fa93b4b9235afac439e39eafea88222928e6f5"},
+    {file = "pysigma_backend_opensearch-1.0.3-py3-none-any.whl", hash = "sha256:f0d0650fa9fc69df186f07520157bc5b405677c4e77261a942992a2d923afb0b"},
+    {file = "pysigma_backend_opensearch-1.0.3.tar.gz", hash = "sha256:3ce5d61dd54eadd6c66c400019fc4d1fcfa118111e00e0c09396fafbc20db40e"},
 ]
 
 [package.dependencies]
 pysigma = ">=0.10.2,<0.12.0"
-pysigma-backend-elasticsearch = ">=1.0.6,<2.0.0"
+pysigma-backend-elasticsearch = ">=1.1.3,<2.0.0"
 
 [[package]]
 name = "pysigma-backend-qradar-aql"
@@ -1989,6 +2022,20 @@ pytest = ">=4.6"
 [package.extras]
 testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
 
+[[package]]
+name = "python-dotenv"
+version = "1.0.1"
+description = "Read key-value pairs from a .env file and set them as environment variables"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca"},
+    {file = "python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a"},
+]
+
+[package.extras]
+cli = ["click (>=5.0)"]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.2"
@@ -2190,29 +2237,29 @@ requests = ">=2.0.1,<3.0.0"
 
 [[package]]
 name = "ruff"
-version = "0.7.1"
+version = "0.7.2"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "ruff-0.7.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94fc32f9cdf72dc75c451e5f072758b118ab8100727168a3df58502b43a599ca"},
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+    {file = "ruff-0.7.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:e00163fb897d35523c70d71a46fbaa43bf7bf9af0f4534c53ea5b96b2e03397b"},
+    {file = "ruff-0.7.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f3c54b538633482dc342e9b634d91168fe8cc56b30a4b4f99287f4e339103e88"},
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+    {file = "ruff-0.7.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:9fd67094e77efbea932e62b5d2483006154794040abb3a5072e659096415ae1e"},
+    {file = "ruff-0.7.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:576305393998b7bd6c46018f8104ea3a9cb3fa7908c21d8580e3274a3b04b691"},
+    {file = "ruff-0.7.2-py3-none-win32.whl", hash = "sha256:fa993cfc9f0ff11187e82de874dfc3611df80852540331bc85c75809c93253a8"},
+    {file = "ruff-0.7.2-py3-none-win_amd64.whl", hash = "sha256:dd8800cbe0254e06b8fec585e97554047fb82c894973f7ff18558eee33d1cb88"},
+    {file = "ruff-0.7.2-py3-none-win_arm64.whl", hash = "sha256:bb8368cd45bba3f57bb29cbb8d64b4a33f8415d0149d2655c5c8539452ce7760"},
+    {file = "ruff-0.7.2.tar.gz", hash = "sha256:2b14e77293380e475b4e3a7a368e14549288ed2931fce259a6f99978669e844f"},
 ]
 
 [[package]]
@@ -2323,13 +2370,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "tenacity"
-version = "8.5.0"
+version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "tenacity-8.5.0-py3-none-any.whl", hash = "sha256:b594c2a5945830c267ce6b79a166228323ed52718f30302c1359836112346687"},
-    {file = "tenacity-8.5.0.tar.gz", hash = "sha256:8bc6c0c8a09b31e6cad13c47afbed1a567518250a9a171418582ed8d9c20ca78"},
+    {file = "tenacity-9.0.0-py3-none-any.whl", hash = "sha256:93de0c98785b27fcf659856aa9f54bfbd399e29969b0621bc7f762bd441b4539"},
+    {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
 ]
 
 [package.extras]
@@ -2574,4 +2621,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <=3.12"
-content-hash = "c34e45f82935307176d98f31f60b08658577c9767b940eaf649aeb94ff6e7c51"
+content-hash = "08b6d7735d30e60ed1bb827a3b1a25d92636866405ea94a7e3617fad307a7815"
diff --git a/pyproject.toml b/pyproject.toml
index 757fad8..02fbc2e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,10 +42,10 @@ importlib-resources = "*"
 openai = "*"
 tiktoken = "*"
 faiss-cpu = "*"
-langchain = "^0.2.9"
-langchain-community = "^0.2.7"
-langchain-openai = "^0.1.17"
-langchain-core = "^0.2.20"
+langchain = "*"
+langchain-community = "*"
+langchain-openai = "*"
+langchain-core = "*"
 
 
 [tool.poetry.dev-dependencies]
diff --git a/sigmaiq/llm/tools/create_sigma_rule.py b/sigmaiq/llm/tools/create_sigma_rule.py
index 49c2f72..6fadba3 100644
--- a/sigmaiq/llm/tools/create_sigma_rule.py
+++ b/sigmaiq/llm/tools/create_sigma_rule.py
@@ -4,7 +4,6 @@
 
 # langchain
 from langchain.prompts import ChatPromptTemplate
-from langchain.pydantic_v1 import BaseModel, Field
 
 # langchain typing
 from langchain.schema.language_model import BaseLanguageModel
@@ -12,6 +11,7 @@
 from langchain.schema.runnable import RunnablePassthrough
 from langchain.schema.vectorstore import VectorStore
 from langchain.tools import BaseTool
+from pydantic import BaseModel, Field
 
 
 class CreateSigmaRuleInput(BaseModel):
@@ -22,9 +22,6 @@ class CreateSigmaRuleInput(BaseModel):
         description="The users question, used to search through the Sigma VectorStore and create a Sigma Rule."
     )
 
-    class Config(BaseTool.Config):
-        pass
-
 
 class CreateSigmaRuleVectorStoreTool(BaseTool):
     """Class for translating Sigma rules via SigmAIQ Backend Factory"""
@@ -38,7 +35,7 @@ class CreateSigmaRuleVectorStoreTool(BaseTool):
     sigmadb: VectorStore
     llm: BaseLanguageModel
     k: int = 3
-    verbose = False
+    verbose: bool = False
 
     def _run(self, query: str) -> str:
         """Run the tool"""
diff --git a/sigmaiq/llm/tools/find_sigma_rule.py b/sigmaiq/llm/tools/find_sigma_rule.py
index 6182791..bf62926 100644
--- a/sigmaiq/llm/tools/find_sigma_rule.py
+++ b/sigmaiq/llm/tools/find_sigma_rule.py
@@ -7,7 +7,7 @@
 from langchain.schema.runnable import RunnablePassthrough
 from langchain.schema.vectorstore import VectorStore
 from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
+from pydantic import BaseModel, Field
 
 
 class FindSigmaRuleInput(BaseModel):
@@ -35,12 +35,7 @@ class FindSigmaRuleTool(BaseTool):
     llm: BaseLanguageModel
     sigmadb: VectorStore
     k: int = 3
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
+    verbose: bool = False
 
     def _run(self, query: Union[str, dict] = None) -> str:
         return asyncio.run(self._arun(query))
diff --git a/sigmaiq/llm/tools/query_to_sigma_rule.py b/sigmaiq/llm/tools/query_to_sigma_rule.py
index 3bca686..74af3fc 100644
--- a/sigmaiq/llm/tools/query_to_sigma_rule.py
+++ b/sigmaiq/llm/tools/query_to_sigma_rule.py
@@ -7,7 +7,7 @@
 from langchain.schema.output_parser import StrOutputParser
 from langchain.schema.runnable import RunnablePassthrough
 from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
+from pydantic import BaseModel, Field
 
 from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS
 
@@ -43,12 +43,7 @@ class QueryToSigmaRuleTool(BaseTool):
 """
     # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
     llm: BaseLanguageModel
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
+    verbose: bool = False
 
     def _run(self, query: str = None, backend: str = None) -> str:
         return asyncio.run(self._arun(query, backend))
diff --git a/sigmaiq/llm/tools/translate_sigma_rule.py b/sigmaiq/llm/tools/translate_sigma_rule.py
index 9b6a039..2303401 100644
--- a/sigmaiq/llm/tools/translate_sigma_rule.py
+++ b/sigmaiq/llm/tools/translate_sigma_rule.py
@@ -3,7 +3,7 @@
 from typing import Union, Type
 
 from langchain.tools import BaseTool
-from pydantic import BaseModel, Field, Extra
+from pydantic import BaseModel, Field, ConfigDict
 
 from sigmaiq.sigmaiq_backend_factory import AVAILABLE_BACKENDS, SigmAIQBackend
 from sigmaiq.sigmaiq_pipeline_factory import AVAILABLE_PIPELINES
@@ -43,6 +43,8 @@ class TranslateSigmaRuleInput(BaseModel):
         + f"{json.dumps({k: v['output_formats'] for k, v in SigmAIQBackend.display_backends_and_outputs().items()}, indent=2)}",
     )
 
+    model_config = ConfigDict(extra="forbid")
+
 
 class TranslateSigmaRuleTool(BaseTool):
     """Class for translating Sigma rules via SigmAIQ Backend Factory"""
@@ -58,12 +60,7 @@ class TranslateSigmaRuleTool(BaseTool):
 translation fails.
 """
     # return_direct = True  # We don't need an agent LLM to think about the output, it is what it is.
-    verbose = False
-
-    class Config:
-        """Configuration for this pydantic object."""
-
-        extra = Extra.forbid
+    verbose: bool = False
 
     def _run(
         self,

From 6c289e38b1e33029f418431e2bf2fd0b93ad576c Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 5 Nov 2024 18:47:19 -0800
Subject: [PATCH 37/47] Refactor code formatting and update dependencies

Improved code readability by restructuring imports and reformatting function definitions. Updated package versions for `langchain-openai` and `langsmith` to ensure compatibility and improved functionality.
---
 Makefile                        |  2 +-
 poetry.lock                     | 14 +++----
 sigmaiq/llm/base.py             | 28 +++++++-------
 sigmaiq/llm/toolkits/base.py    | 68 ++++++++++++++++++++++++---------
 sigmaiq/llm/toolkits/prompts.py | 14 +++----
 5 files changed, 80 insertions(+), 46 deletions(-)

diff --git a/Makefile b/Makefile
index f2f11bb..622df93 100644
--- a/Makefile
+++ b/Makefile
@@ -2,7 +2,7 @@ SHELL := /bin/bash
 
 .DEFAULT_GOAL := help
 
-SRC_DIRS := sigmaiq/llm/tools examples
+SRC_DIRS := sigmaiq/llm examples
 PYTHON_FILES := $(shell find $(SRC_DIRS) -type f -name "*.py")
 
 .PHONY: help
diff --git a/poetry.lock b/poetry.lock
index ca55f92..4b40f93 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1050,18 +1050,18 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.5"
+version = "0.2.6"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_openai-0.2.5-py3-none-any.whl", hash = "sha256:745fd9d51a5a3a9cb8839d41f3786ab38dfc539e47c713a806cbca32f3d0875c"},
-    {file = "langchain_openai-0.2.5.tar.gz", hash = "sha256:55b98711a880474ec363267bf6cd0e2727dc00e8433731318d063a2184582c28"},
+    {file = "langchain_openai-0.2.6-py3-none-any.whl", hash = "sha256:d56e4d9183bdd1a5fb5f3ed9d287f15108e01d631ded170dd330a566f2927b95"},
+    {file = "langchain_openai-0.2.6.tar.gz", hash = "sha256:7054e5f64498ad8e59d77cdc210103f5ea4f67258997edc48ae237298adeb316"},
 ]
 
 [package.dependencies]
 langchain-core = ">=0.3.15,<0.4.0"
-openai = ">=1.52.0,<2.0.0"
+openai = ">=1.54.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
@@ -1080,13 +1080,13 @@ langchain-core = ">=0.3.15,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.139"
+version = "0.1.140"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.139-py3-none-any.whl", hash = "sha256:2a4a541bfbd0a9727255df28a60048c85bc8c4c6a276975923785c3fd82dc879"},
-    {file = "langsmith-0.1.139.tar.gz", hash = "sha256:2f9e4d32fef3ad7ef42c8506448cce3a31ad6b78bb4f3310db04ddaa1e9d744d"},
+    {file = "langsmith-0.1.140-py3-none-any.whl", hash = "sha256:3de70183ae19a4ada4d77a8a9f336ff95ca0ead98215771033ee889a2889fe19"},
+    {file = "langsmith-0.1.140.tar.gz", hash = "sha256:cb0a717d7b9e6d3145285d7ca0ab216e064cbe7a1ca4139fc04af57fb2315e70"},
 ]
 
 [package.dependencies]
diff --git a/sigmaiq/llm/base.py b/sigmaiq/llm/base.py
index c94de47..aa87604 100644
--- a/sigmaiq/llm/base.py
+++ b/sigmaiq/llm/base.py
@@ -2,22 +2,24 @@
 import os
 from typing import Type, List
 
-# sigmaiq
-from sigmaiq.utils.sigma.rule_updater import SigmaRuleUpdater
-from sigmaiq.globals import DEFAULT_DIRS
-
-# langchain
-from langchain_openai import OpenAIEmbeddings
-from langchain_community.vectorstores import FAISS
-from langchain_community.document_loaders import DirectoryLoader, TextLoader
-from langchain.text_splitter import CharacterTextSplitter
+from langchain.docstore.document import Document
+from langchain.document_loaders.base import BaseLoader
+from langchain.schema.document import BaseDocumentTransformer
 
 # langchain typing
 from langchain.schema.embeddings import Embeddings
 from langchain.schema.vectorstore import VectorStore
-from langchain.docstore.document import Document
-from langchain.document_loaders.base import BaseLoader
-from langchain.schema.document import BaseDocumentTransformer
+from langchain.text_splitter import CharacterTextSplitter
+from langchain_community.document_loaders import DirectoryLoader, TextLoader
+from langchain_community.vectorstores import FAISS
+
+# langchain
+from langchain_openai import OpenAIEmbeddings
+
+from sigmaiq.globals import DEFAULT_DIRS
+
+# sigmaiq
+from sigmaiq.utils.sigma.rule_updater import SigmaRuleUpdater
 
 
 class SigmaLLM(SigmaRuleUpdater):
@@ -36,7 +38,7 @@ def __init__(
         rule_dir: str = None,
         vector_store_dir: str = None,
         embedding_model: OpenAIEmbeddings = None,
-        embedding_function: Type[Embeddings] = OpenAIEmbeddings, #TODO RS : Consolidate this with embedding_model
+        embedding_function: Type[Embeddings] = OpenAIEmbeddings,  # TODO RS : Consolidate this with embedding_model
         vector_store: Type[VectorStore] = FAISS,
         rule_loader: Type[BaseLoader] = DirectoryLoader,
         rule_splitter: Type[BaseDocumentTransformer] = CharacterTextSplitter,
diff --git a/sigmaiq/llm/toolkits/base.py b/sigmaiq/llm/toolkits/base.py
index fac712d..44ef423 100644
--- a/sigmaiq/llm/toolkits/base.py
+++ b/sigmaiq/llm/toolkits/base.py
@@ -8,25 +8,39 @@
 from langchain.agents.format_scratchpad import format_to_openai_function_messages
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
 from langchain.prompts import ChatPromptTemplate
+
 # langchain typing
-from langchain.schema import (AgentAction, AgentFinish, OutputParserException, )
+from langchain.schema import (
+    AgentAction,
+    AgentFinish,
+    OutputParserException,
+)
 from langchain.schema.agent import AgentActionMessageLog
 from langchain.schema.language_model import BaseLanguageModel
-from langchain.schema.messages import (AIMessage, BaseMessage, )
+from langchain.schema.messages import (
+    AIMessage,
+    BaseMessage,
+)
 from langchain.schema.vectorstore import VectorStore
 from langchain_core.utils.function_calling import convert_to_openai_function
 from langchain_openai import ChatOpenAI
 
 from sigmaiq.llm.toolkits.prompts import SIGMA_AGENT_PROMPT
+
 # sigmaiq
 from sigmaiq.llm.toolkits.sigma_toolkit import SigmaToolkit
 
 
-def create_sigma_agent(agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
-        rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"), sigma_vectorstore: VectorStore = None,
-        toolkit: Type[SigmaToolkit] = SigmaToolkit, prompt: Optional[ChatPromptTemplate] = SIGMA_AGENT_PROMPT,
-        verbose: bool = False, return_intermediate_steps: bool = False,
-        agent_executor_kwargs: Optional[Dict[str, Any]] = None, ) -> AgentExecutor:
+def create_sigma_agent(
+    agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
+    rule_creation_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o"),
+    sigma_vectorstore: VectorStore = None,
+    toolkit: Type[SigmaToolkit] = SigmaToolkit,
+    prompt: Optional[ChatPromptTemplate] = SIGMA_AGENT_PROMPT,
+    verbose: bool = False,
+    return_intermediate_steps: bool = False,
+    agent_executor_kwargs: Optional[Dict[str, Any]] = None,
+) -> AgentExecutor:
     """Construct a Sigma agent from an LLM and tools.
 
     Args:
@@ -48,27 +62,39 @@ def create_sigma_agent(agent_llm: BaseLanguageModel = ChatOpenAI(model="gpt-4o")
 
     # Assert if any of the tools does not have arun
     for tool in tools:
-        assert hasattr(tool, 'arun'), f"Tool {tool.name} does not have an 'arun' method"
+        assert hasattr(tool, "arun"), f"Tool {tool.name} does not have an 'arun' method"
 
     # Create OpenAI Function for each tool for the agent LLM, so we can create an OpenAI Function AgentExecutor
     llm_with_tools = agent_llm.bind(functions=[convert_to_openai_function(t) for t in tools])
 
     # Create the agent
-    agent = ({"input": lambda x: x["input"], "agent_scratchpad": lambda x: format_to_openai_function_messages(
-        x["intermediate_steps"]), } | prompt | llm_with_tools | CustomOpenAIFunctionsAgentOutputParser())
+    agent = (
+        {
+            "input": lambda x: x["input"],
+            "agent_scratchpad": lambda x: format_to_openai_function_messages(x["intermediate_steps"]),
+        }
+        | prompt
+        | llm_with_tools
+        | CustomOpenAIFunctionsAgentOutputParser()
+    )
 
     # Create and return the AgentExecutor
-    agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=verbose,
-        return_intermediate_steps=return_intermediate_steps, handle_parsing_errors=True,
-        **(agent_executor_kwargs or {}))
+    agent_executor = AgentExecutor(
+        agent=agent,
+        tools=tools,
+        verbose=verbose,
+        return_intermediate_steps=return_intermediate_steps,
+        handle_parsing_errors=True,
+        **(agent_executor_kwargs or {}),
+    )
 
     return agent_executor
 
 
 class CustomOpenAIFunctionsAgentOutputParser(OpenAIFunctionsAgentOutputParser):
     """Custom OpenAIFunctionsAgentOutputParser to overcome the JSON parsing error on some agent
-    intermediate step inputs. This occurs because the `json.load()` method needs the arg `strict=False` to
-parse the JSON. This is a hacky way to do this, but it works for now.
+        intermediate step inputs. This occurs because the `json.load()` method needs the arg `strict=False` to
+    parse the JSON. This is a hacky way to do this, but it works for now.
     """
 
     # Override
@@ -85,8 +111,9 @@ def _parse_ai_message(message: BaseMessage) -> Union[AgentAction, AgentFinish]:
             try:
                 _tool_input = json.loads(function_call["arguments"].strip(), strict=False)  # HACK
             except JSONDecodeError:
-                raise OutputParserException(f"Could not parse tool input: {function_call} because "
-                                            f"the `arguments` is not valid JSON.")
+                raise OutputParserException(
+                    f"Could not parse tool input: {function_call} because " f"the `arguments` is not valid JSON."
+                )
 
             # HACK HACK HACK:
             # The code that encodes tool input into Open AI uses a special variable
@@ -101,6 +128,11 @@ def _parse_ai_message(message: BaseMessage) -> Union[AgentAction, AgentFinish]:
 
             content_msg = f"responded: {message.content}\n" if message.content else "\n"
             log = f"\nInvoking: `{function_name}` with `{tool_input}`\n{content_msg}\n"
-            return AgentActionMessageLog(tool=function_name, tool_input=tool_input, log=log, message_log=[message], )
+            return AgentActionMessageLog(
+                tool=function_name,
+                tool_input=tool_input,
+                log=log,
+                message_log=[message],
+            )
 
         return AgentFinish(return_values={"output": message.content}, log=str(message.content))
diff --git a/sigmaiq/llm/toolkits/prompts.py b/sigmaiq/llm/toolkits/prompts.py
index 9d28ff9..d9a23fa 100644
--- a/sigmaiq/llm/toolkits/prompts.py
+++ b/sigmaiq/llm/toolkits/prompts.py
@@ -1,18 +1,18 @@
 from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
 
 # Default prompts for Sigma agents
-SIGMA_AGENT_PROMPT = prompt = ChatPromptTemplate.from_messages(
+SIGMA_AGENT_PROMPT = ChatPromptTemplate.from_messages(
     [
         (
             "system",
-            "You are a threat detection engineering assistant bot specializing in Sigma Rules."
+            "You are a threat detection engineering assistant bot specializing in Sigma Rules. "
             "You have four tools at your disposal: "
-            "1. translate_sigma_rule: converts or translates a Sigma Rule into a query for a specific backend/product."
-            "2. find_sigma_rule: Searches for a Sigma Rule in the vector database based on the users question."
-            "3. create_sigma_rule_vectorstore: Creates new Sigma Rule from the users input, as well as rules in a sigma rule vectorstore to use as context based on the users question. If the user's question already contains a query, use 'query_to_sigma_rule' instead."
-            "4. query_to_sigma_rule: Converts/translates a product/SIEM/backend query or search from the query language into a YAML Sigma Rule."
+            "1. translate_sigma_rule: converts or translates a Sigma Rule into a query for a specific backend/product. "
+            "2. find_sigma_rule: Searches for a Sigma Rule in the vector database based on the users question. "
+            "3. create_sigma_rule_vectorstore: Creates new Sigma Rule from the users input, as well as rules in a sigma rule vectorstore to use as context based on the users question. If the user's question already contains a query, use 'query_to_sigma_rule' instead. "
+            "4. query_to_sigma_rule: Converts/translates a product/SIEM/backend query or search from the query language into a YAML Sigma Rule. "
             "Do not use 'translate_sigma_rule' unless the user explicitly asks for a Sigma Rule to be converted or translated "
-            "into a query for a specific backend, pipeline, and/or output format."
+            "into a query for a specific backend, pipeline, and/or output format.",
         ),
         ("user", "{input}"),
         MessagesPlaceholder(variable_name="agent_scratchpad"),

From 4ea3ea7352fc1ba087159eb491571866a39c9cd9 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 5 Nov 2024 20:54:19 -0800
Subject: [PATCH 38/47] Add chat history support and refactor prompt templates

Added `chat_history` to the agent's configuration for more context in interactions. Refactored the prompt templates into system and human message templates for better organization and readability.
---
 sigmaiq/llm/toolkits/base.py    |  1 +
 sigmaiq/llm/toolkits/prompts.py | 43 ++++++++++++++++++++++-----------
 2 files changed, 30 insertions(+), 14 deletions(-)

diff --git a/sigmaiq/llm/toolkits/base.py b/sigmaiq/llm/toolkits/base.py
index 44ef423..a4b3ee6 100644
--- a/sigmaiq/llm/toolkits/base.py
+++ b/sigmaiq/llm/toolkits/base.py
@@ -71,6 +71,7 @@ def create_sigma_agent(
     agent = (
         {
             "input": lambda x: x["input"],
+            "chat_history": lambda x: x.get("chat_history", []),
             "agent_scratchpad": lambda x: format_to_openai_function_messages(x["intermediate_steps"]),
         }
         | prompt
diff --git a/sigmaiq/llm/toolkits/prompts.py b/sigmaiq/llm/toolkits/prompts.py
index d9a23fa..b649081 100644
--- a/sigmaiq/llm/toolkits/prompts.py
+++ b/sigmaiq/llm/toolkits/prompts.py
@@ -1,20 +1,35 @@
-from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.prompts import (
+    SystemMessagePromptTemplate,
+    HumanMessagePromptTemplate,
+    ChatPromptTemplate,
+    MessagesPlaceholder,
+)
+
+system_template = """
+You are a threat detection engineering assistant bot specializing in Sigma Rules.
+
+You have four tools at your disposal:
+1. translate_sigma_rule: converts or translates a Sigma Rule into a query for a specific backend/product. 
+2. find_sigma_rule: Searches for a Sigma Rule in the vector database based on the users question. 
+3. create_sigma_rule_vectorstore: Creates new Sigma Rule from the users input, as well as rules in a sigma rule vectorstore to use as context based on the users question. If the user's question already contains a query, use 'query_to_sigma_rule' instead. 
+4. query_to_sigma_rule: Converts/translates a product/SIEM/backend query or search from the query language into a YAML Sigma Rule. 
+Do not use 'translate_sigma_rule' unless the user explicitly asks for a Sigma Rule to be converted or translated into a query for a specific backend, pipeline, and/or output format.
+
+
+Chat History:
+{chat_history}
+"""
+system_message_prompt = SystemMessagePromptTemplate.from_template(system_template)
+
+human_template = """
+Question: {input}
+"""
+human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
 
-# Default prompts for Sigma agents
 SIGMA_AGENT_PROMPT = ChatPromptTemplate.from_messages(
     [
-        (
-            "system",
-            "You are a threat detection engineering assistant bot specializing in Sigma Rules. "
-            "You have four tools at your disposal: "
-            "1. translate_sigma_rule: converts or translates a Sigma Rule into a query for a specific backend/product. "
-            "2. find_sigma_rule: Searches for a Sigma Rule in the vector database based on the users question. "
-            "3. create_sigma_rule_vectorstore: Creates new Sigma Rule from the users input, as well as rules in a sigma rule vectorstore to use as context based on the users question. If the user's question already contains a query, use 'query_to_sigma_rule' instead. "
-            "4. query_to_sigma_rule: Converts/translates a product/SIEM/backend query or search from the query language into a YAML Sigma Rule. "
-            "Do not use 'translate_sigma_rule' unless the user explicitly asks for a Sigma Rule to be converted or translated "
-            "into a query for a specific backend, pipeline, and/or output format.",
-        ),
-        ("user", "{input}"),
+        system_message_prompt,
+        human_message_prompt,
         MessagesPlaceholder(variable_name="agent_scratchpad"),
     ]
 )

From 4ca3882eeec5494b4e478a63daf495030ce17df9 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 7 Nov 2024 20:36:34 -0800
Subject: [PATCH 39/47] Update dependencies and add six package

Updated langsmith to version 0.1.141, openai to version 1.54.3, and tqdm to version 4.67.0 in poetry.lock. Added six version 1.16.0 to both poetry.lock and pyproject.toml, ensuring compatibility utilities are included. Added 'discord' extra dependency to tqdm in poetry.lock.
---
 poetry.lock    | 32 ++++++++++++++++++++++----------
 pyproject.toml |  1 +
 2 files changed, 23 insertions(+), 10 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 4b40f93..086f8b7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1080,13 +1080,13 @@ langchain-core = ">=0.3.15,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.140"
+version = "0.1.141"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.140-py3-none-any.whl", hash = "sha256:3de70183ae19a4ada4d77a8a9f336ff95ca0ead98215771033ee889a2889fe19"},
-    {file = "langsmith-0.1.140.tar.gz", hash = "sha256:cb0a717d7b9e6d3145285d7ca0ab216e064cbe7a1ca4139fc04af57fb2315e70"},
+    {file = "langsmith-0.1.141-py3-none-any.whl", hash = "sha256:e133c6bed9c6d274f19735696a169dea890d35d444ae61c25fb47082aa2d0f16"},
+    {file = "langsmith-0.1.141.tar.gz", hash = "sha256:f3f17d2abc7b8a3857ad8d492b535970109b5ea40e712df91a782522ed581516"},
 ]
 
 [package.dependencies]
@@ -1347,13 +1347,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.54.1"
+version = "1.54.3"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.54.1-py3-none-any.whl", hash = "sha256:3cb49ccb6bfdc724ad01cc397d323ef8314fc7d45e19e9de2afdd6484a533324"},
-    {file = "openai-1.54.1.tar.gz", hash = "sha256:5b832bf82002ba8c4f6e5e25c1c0f5d468c22f043711544c716eaffdb30dd6f1"},
+    {file = "openai-1.54.3-py3-none-any.whl", hash = "sha256:f18dbaf09c50d70c4185b892a2a553f80681d1d866323a2da7f7be2f688615d5"},
+    {file = "openai-1.54.3.tar.gz", hash = "sha256:7511b74eeb894ac0b0253dc71f087a15d2e4d71d22d0088767205143d880cca6"},
 ]
 
 [package.dependencies]
@@ -2262,6 +2262,17 @@ files = [
     {file = "ruff-0.7.2.tar.gz", hash = "sha256:2b14e77293380e475b4e3a7a368e14549288ed2931fce259a6f99978669e844f"},
 ]
 
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -2442,13 +2453,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.6"
+version = "4.67.0"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.6-py3-none-any.whl", hash = "sha256:223e8b5359c2efc4b30555531f09e9f2f3589bcd7fdd389271191031b49b7a63"},
-    {file = "tqdm-4.66.6.tar.gz", hash = "sha256:4bdd694238bef1485ce839d67967ab50af8f9272aab687c0d7702a01da0be090"},
+    {file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
+    {file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
 ]
 
 [package.dependencies]
@@ -2456,6 +2467,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
@@ -2621,4 +2633,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <=3.12"
-content-hash = "08b6d7735d30e60ed1bb827a3b1a25d92636866405ea94a7e3617fad307a7815"
+content-hash = "edbf456b4084dd2e37e01fbc1b892147332cab0ffd8271912aba7f3967a7163f"
diff --git a/pyproject.toml b/pyproject.toml
index 02fbc2e..6ae7790 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,6 +21,7 @@ packages = [
 
 [tool.poetry.dependencies]
 python = ">=3.9, <=3.12"
+six = "*"
 pysigma = "^0.11.14"
 certifi = "*"
 pysigma-backend-carbonblack = "^0.1.8"

From ac4d72046ccf15fb84134f090941a580bbb739ea Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Wed, 4 Dec 2024 18:17:26 -0800
Subject: [PATCH 40/47] Update aiohappyeyeballs and aiohttp versions in
 poetry.lock

Upgraded aiohappyeyeballs to version 2.4.4 and aiohttp to version 3.11.9 in poetry.lock. This change also updates the supported Python version for aiohttp to 3.9 and above, aligning with the newer package requirements. These updates ensure compatibility and improved functionality with recent package distributions.
---
 poetry.lock | 1443 +++++++++++++++++++++++++++------------------------
 1 file changed, 772 insertions(+), 671 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 086f8b7..d28ea2e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,123 +2,109 @@
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.3"
+version = "2.4.4"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
-    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
+    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.10"
+version = "3.11.9"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
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 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
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 [package.dependencies]
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 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -768,13 +759,13 @@ trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
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-version = "0.27.2"
+version = "0.28.0"
 description = "The next generation HTTP client."
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 python-versions = ">=3.8"
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 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
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 ]
 
 [[package]]
@@ -975,24 +967,24 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.7"
+version = "0.3.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.15,<0.4.0"
+langchain-core = ">=0.3.21,<0.4.0"
 langchain-text-splitters = ">=0.3.0,<0.4.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = [
-    {version = ">=1,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
 ]
 pydantic = ">=2.7.4,<3.0.0"
 PyYAML = ">=5.3"
@@ -1002,25 +994,25 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-community"
-version = "0.3.4"
+version = "0.3.9"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 dataclasses-json = ">=0.5.7,<0.7"
 httpx-sse = ">=0.4.0,<0.5.0"
-langchain = ">=0.3.6,<0.4.0"
-langchain-core = ">=0.3.14,<0.4.0"
+langchain = ">=0.3.8,<0.4.0"
+langchain-core = ">=0.3.21,<0.4.0"
 langsmith = ">=0.1.125,<0.2.0"
 numpy = [
-    {version = ">=1,<2", markers = "python_version < \"3.12\""},
-    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.2,<3", markers = "python_version >= \"3.12\""},
 ]
 pydantic-settings = ">=2.4.0,<3.0.0"
 PyYAML = ">=5.3"
@@ -1030,13 +1022,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.15"
+version = "0.3.21"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langchain_core-0.3.21-py3-none-any.whl", hash = "sha256:7e723dff80946a1198976c6876fea8326dc82566ef9bcb5f8d9188f738733665"},
+    {file = "langchain_core-0.3.21.tar.gz", hash = "sha256:561b52b258ffa50a9fb11d7a1940ebfd915654d1ec95b35e81dfd5ee84143411"},
 ]
 
 [package.dependencies]
@@ -1050,17 +1042,17 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.6"
+version = "0.2.11"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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+    {file = "langchain_openai-0.2.11-py3-none-any.whl", hash = "sha256:c019ae915a5782943bee9503388e65c8622d400e0451ef885f3e4989cf35727f"},
+    {file = "langchain_openai-0.2.11.tar.gz", hash = "sha256:563bd843092d260c7ffd88b8e0e6b830f36347e058e62a6d5e9cc4c461a8da98"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.15,<0.4.0"
+langchain-core = ">=0.3.21,<0.4.0"
 openai = ">=1.54.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -1080,22 +1072,25 @@ langchain-core = ">=0.3.15,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.1.141"
+version = "0.1.147"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
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 [[package]]
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 description = "pySigma Elasticsearch backend supporting Lucene, ES|QL (with correlations) and EQL queries"
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 python-versions = "<4.0,>=3.9"
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 [package.dependencies]
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 [[package]]
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 [[package]]
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 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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 ]
 
 [[package]]
@@ -2442,31 +2513,61 @@ blobfile = ["blobfile (>=2)"]
 
 [[package]]
 name = "tomli"
-version = "2.0.2"
+version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
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+dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
 discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
@@ -2517,93 +2618,93 @@ zstd = ["zstandard (>=0.18.0)"]
 
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+    {file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"},
 ]
 
 [package.dependencies]
@@ -2613,13 +2714,13 @@ propcache = ">=0.2.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]

From d045a21d39ed92d27d36e44cf63d8164ba8f9584 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Thu, 12 Dec 2024 16:08:25 -0800
Subject: [PATCH 41/47] Update aiohttp to version 3.11.10

Upgraded aiohttp in the lock file from 3.11.9 to 3.11.10. This likely includes bug fixes, performance improvements, or security patches. Ensure compatibility with the updated version before deploying.
---
 poetry.lock | 653 ++++++++++++++++++++++++++--------------------------
 1 file changed, 327 insertions(+), 326 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d28ea2e..97e5c4a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,87 +13,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.9"
+version = "3.11.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -136,24 +136,24 @@ files = [
 
 [[package]]
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-version = "4.6.2.post1"
+version = "4.7.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
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 [[package]]
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+version = "0.3.11"
 description = "Building applications with LLMs through composability"
 optional = false
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 [[package]]
 name = "langchain-core"
-version = "0.3.21"
+version = "0.3.24"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
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@@ -1042,18 +1043,18 @@ typing-extensions = ">=4.7"
 
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+version = "0.2.12"
 description = "An integration package connecting OpenAI and LangChain"
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 tiktoken = ">=0.7,<1"
 
 [[package]]
@@ -1072,13 +1073,13 @@ langchain-core = ">=0.3.15,<0.4.0"
 
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+    {file = "ruff-0.8.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:db503486e1cf074b9808403991663e4277f5c664d3fe237ee0d994d1305bb060"},
+    {file = "ruff-0.8.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:6567be9fb62fbd7a099209257fef4ad2c3153b60579818b31a23c886ed4147ea"},
+    {file = "ruff-0.8.3-py3-none-win32.whl", hash = "sha256:19048f2f878f3ee4583fc6cb23fb636e48c2635e30fb2022b3a1cd293402f964"},
+    {file = "ruff-0.8.3-py3-none-win_amd64.whl", hash = "sha256:f7df94f57d7418fa7c3ffb650757e0c2b96cf2501a0b192c18e4fb5571dfada9"},
+    {file = "ruff-0.8.3-py3-none-win_arm64.whl", hash = "sha256:fe2756edf68ea79707c8d68b78ca9a58ed9af22e430430491ee03e718b5e4936"},
+    {file = "ruff-0.8.3.tar.gz", hash = "sha256:5e7558304353b84279042fc584a4f4cb8a07ae79b2bf3da1a7551d960b5626d3"},
 ]
 
 [[package]]

From eb5809e3ab0a650f6d597bb2c6af42b0f9df6b5b Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Mon, 16 Dec 2024 18:03:23 -0800
Subject: [PATCH 42/47] Update dependencies and lock versions in poetry.lock

All dependencies in `poetry.lock` have been updated to their latest versions. This includes minor version bumps for packages such as `aiosignal`, `attrs`, `langchain`, `openai`, and others. Adjustments ensure compatibility with updated dependency constraints.
---
 poetry.lock | 76 ++++++++++++++++++++++++++---------------------------
 1 file changed, 38 insertions(+), 38 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 97e5c4a..1b722b0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -111,13 +111,13 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
-    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
 ]
 
 [package.dependencies]
@@ -169,19 +169,19 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
@@ -234,13 +234,13 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
@@ -968,20 +968,20 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.11"
+version = "0.3.12"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain-0.3.11-py3-none-any.whl", hash = "sha256:6655feded1f7569e5a4bd11e38de0a26c7c86646c0dea49afccceba42df60ad7"},
-    {file = "langchain-0.3.11.tar.gz", hash = "sha256:17868ea3f0cf5a46b4b88bf1961c4a12d32ea0778930e7d2eb5103e0287ff478"},
+    {file = "langchain-0.3.12-py3-none-any.whl", hash = "sha256:581ad93a9de12e4b957bc2af9ba8482eb86e3930e84c4ee20ed677da5e2311cd"},
+    {file = "langchain-0.3.12.tar.gz", hash = "sha256:0d8247afbf37beb263b4adc29f7aa8a5ae83c43a6941894e2f9ba39d5c869e3b"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.24,<0.4.0"
-langchain-text-splitters = ">=0.3.0,<0.4.0"
+langchain-core = ">=0.3.25,<0.4.0"
+langchain-text-splitters = ">=0.3.3,<0.4.0"
 langsmith = ">=0.1.17,<0.3"
 numpy = [
     {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
@@ -995,21 +995,21 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-community"
-version = "0.3.11"
+version = "0.3.12"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_community-0.3.11-py3-none-any.whl", hash = "sha256:c67091dc7652f44161bbea915c03a296f3c1ef2a8dfbcb475cdf23a1deb9790e"},
-    {file = "langchain_community-0.3.11.tar.gz", hash = "sha256:31a96de1578f6037cd49acf287227d54e88e81f82e3e49cb4d90bfe05b1cdc32"},
+    {file = "langchain_community-0.3.12-py3-none-any.whl", hash = "sha256:5a993c931d46dc07fcdfcdfa4d87095c5a15d37ff32b0c16e9ecf6f5caa58c9c"},
+    {file = "langchain_community-0.3.12.tar.gz", hash = "sha256:b4694f34c7214dede03fe5a75e9f335e16bd788dfa6ca279302ad357bf0d0fc4"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
 httpx-sse = ">=0.4.0,<0.5.0"
-langchain = ">=0.3.11,<0.4.0"
-langchain-core = ">=0.3.24,<0.4.0"
+langchain = ">=0.3.12,<0.4.0"
+langchain-core = ">=0.3.25,<0.4.0"
 langsmith = ">=0.1.125,<0.3"
 numpy = [
     {version = ">=1.22.4,<2", markers = "python_version < \"3.12\""},
@@ -1023,13 +1023,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.24"
+version = "0.3.25"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.3.24-py3-none-any.whl", hash = "sha256:97192552ef882a3dd6ae3b870a180a743801d0137a1159173f51ac555eeb7eec"},
-    {file = "langchain_core-0.3.24.tar.gz", hash = "sha256:460851e8145327f70b70aad7dce2cdbd285e144d14af82b677256b941fc99656"},
+    {file = "langchain_core-0.3.25-py3-none-any.whl", hash = "sha256:e10581c6c74ba16bdc6fdf16b00cced2aa447cc4024ed19746a1232918edde38"},
+    {file = "langchain_core-0.3.25.tar.gz", hash = "sha256:fdb8df41e5cdd928c0c2551ebbde1cea770ee3c64598395367ad77ddf9acbae7"},
 ]
 
 [package.dependencies]
@@ -1059,17 +1059,17 @@ tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.2"
+version = "0.3.3"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_text_splitters-0.3.2-py3-none-any.whl", hash = "sha256:0db28c53f41d1bc024cdb3b1646741f6d46d5371e90f31e7e7c9fbe75d01c726"},
-    {file = "langchain_text_splitters-0.3.2.tar.gz", hash = "sha256:81e6515d9901d6dd8e35fb31ccd4f30f76d44b771890c789dc835ef9f16204df"},
+    {file = "langchain_text_splitters-0.3.3-py3-none-any.whl", hash = "sha256:c2f8650457685072971edc8c52c9f8826496b3307f28004a7fd09eb32d4d819f"},
+    {file = "langchain_text_splitters-0.3.3.tar.gz", hash = "sha256:c596958dcab15fdfe0627fd36ce9d588d0a7e35593af70cd10d0a4a06d69b3ee"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.15,<0.4.0"
+langchain-core = ">=0.3.25,<0.4.0"
 
 [[package]]
 name = "langsmith"
@@ -1407,13 +1407,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.57.3"
+version = "1.57.4"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.57.3-py3-none-any.whl", hash = "sha256:c4034a5676eb252ef2e0ed1f46d040ca3bdde24bb61b432f50bb0b38d0cf9ecf"},
-    {file = "openai-1.57.3.tar.gz", hash = "sha256:2c98ca6532b30d8bc5029974d2fcbd793b650009c2b014f47ffd4f9fdfc1f9eb"},
+    {file = "openai-1.57.4-py3-none-any.whl", hash = "sha256:7def1ab2d52f196357ce31b9cfcf4181529ce00838286426bb35be81c035dafb"},
+    {file = "openai-1.57.4.tar.gz", hash = "sha256:a8f071a3e9198e2818f63aade68e759417b9f62c0971bdb83de82504b70b77f7"},
 ]
 
 [package.dependencies]
@@ -1791,13 +1791,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.6.1"
+version = "2.7.0"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_settings-2.6.1-py3-none-any.whl", hash = "sha256:7fb0637c786a558d3103436278a7c4f1cfd29ba8973238a50c5bb9a55387da87"},
-    {file = "pydantic_settings-2.6.1.tar.gz", hash = "sha256:e0f92546d8a9923cb8941689abf85d6601a8c19a23e97a34b2964a2e3f813ca0"},
+    {file = "pydantic_settings-2.7.0-py3-none-any.whl", hash = "sha256:e00c05d5fa6cbbb227c84bd7487c5c1065084119b750df7c8c1a554aed236eb5"},
+    {file = "pydantic_settings-2.7.0.tar.gz", hash = "sha256:ac4bfd4a36831a48dbf8b2d9325425b549a0a6f18cea118436d728eb4f1c4d66"},
 ]
 
 [package.dependencies]
@@ -1913,13 +1913,13 @@ pysigma = ">=0.10.1,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-kusto"
-version = "0.4.2"
+version = "0.4.3"
 description = "pySigma Kusto backend"
 optional = false
 python-versions = "<4.0,>=3.8"
 files = [
-    {file = "pysigma_backend_kusto-0.4.2-py3-none-any.whl", hash = "sha256:4dcadd2f72f04d9738241ea6b3879bf0c6944fbf13ffc9487ef7aa8f007be79d"},
-    {file = "pysigma_backend_kusto-0.4.2.tar.gz", hash = "sha256:ed9eeb1d19dac5ff4070e973c634104265556410f20ac6be0e1a1cd4ed93c57e"},
+    {file = "pysigma_backend_kusto-0.4.3-py3-none-any.whl", hash = "sha256:06fe35f728ab2f652492d8cde06bab4ced147487b31b8bf59fe8d11b56eb2447"},
+    {file = "pysigma_backend_kusto-0.4.3.tar.gz", hash = "sha256:28045c18e44137a791b35182642647bd7b0d6cea833a10a10b57049293243650"},
 ]
 
 [package.dependencies]

From 121f88bf57c0ddd06c07eb1b839a3cc719250783 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 7 Jan 2025 15:29:40 -0800
Subject: [PATCH 43/47] Update aiohttp to version 3.11.11

Upgraded aiohttp from version 3.11.10 to 3.11.11 in `poetry.lock`. This likely includes bug fixes or improvements. Ensure compatibility by validating changes with dependent systems.
---
 poetry.lock | 1117 +++++++++++++++++++++++++--------------------------
 1 file changed, 553 insertions(+), 564 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1b722b0..25f836e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,87 +13,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.10"
+version = "3.11.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "aiohttp-3.11.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cbad88a61fa743c5d283ad501b01c153820734118b65aee2bd7dbb735475ce0d"},
-    {file = "aiohttp-3.11.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:80886dac673ceaef499de2f393fc80bb4481a129e6cb29e624a12e3296cc088f"},
-    {file = "aiohttp-3.11.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:61b9bae80ed1f338c42f57c16918853dc51775fb5cb61da70d590de14d8b5fb4"},
-    {file = "aiohttp-3.11.10-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9e2e576caec5c6a6b93f41626c9c02fc87cd91538b81a3670b2e04452a63def6"},
-    {file = "aiohttp-3.11.10-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:02c13415b5732fb6ee7ff64583a5e6ed1c57aa68f17d2bda79c04888dfdc2769"},
-    {file = "aiohttp-3.11.10-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfce37f31f20800a6a6620ce2cdd6737b82e42e06e6e9bd1b36f546feb3c44f"},
-    {file = "aiohttp-3.11.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3bbbfff4c679c64e6e23cb213f57cc2c9165c9a65d63717108a644eb5a7398df"},
-    {file = "aiohttp-3.11.10-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49c7dbbc1a559ae14fc48387a115b7d4bbc84b4a2c3b9299c31696953c2a5219"},
-    {file = "aiohttp-3.11.10-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:68386d78743e6570f054fe7949d6cb37ef2b672b4d3405ce91fafa996f7d9b4d"},
-    {file = "aiohttp-3.11.10-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9ef405356ba989fb57f84cac66f7b0260772836191ccefbb987f414bcd2979d9"},
-    {file = "aiohttp-3.11.10-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:5d6958671b296febe7f5f859bea581a21c1d05430d1bbdcf2b393599b1cdce77"},
-    {file = "aiohttp-3.11.10-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:99b7920e7165be5a9e9a3a7f1b680f06f68ff0d0328ff4079e5163990d046767"},
-    {file = "aiohttp-3.11.10-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0dc49f42422163efb7e6f1df2636fe3db72713f6cd94688e339dbe33fe06d61d"},
-    {file = "aiohttp-3.11.10-cp310-cp310-win32.whl", hash = "sha256:40d1c7a7f750b5648642586ba7206999650208dbe5afbcc5284bcec6579c9b91"},
-    {file = "aiohttp-3.11.10-cp310-cp310-win_amd64.whl", hash = "sha256:68ff6f48b51bd78ea92b31079817aff539f6c8fc80b6b8d6ca347d7c02384e33"},
-    {file = "aiohttp-3.11.10-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:77c4aa15a89847b9891abf97f3d4048f3c2d667e00f8a623c89ad2dccee6771b"},
-    {file = "aiohttp-3.11.10-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:909af95a72cedbefe5596f0bdf3055740f96c1a4baa0dd11fd74ca4de0b4e3f1"},
-    {file = "aiohttp-3.11.10-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:386fbe79863eb564e9f3615b959e28b222259da0c48fd1be5929ac838bc65683"},
-    {file = "aiohttp-3.11.10-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3de34936eb1a647aa919655ff8d38b618e9f6b7f250cc19a57a4bf7fd2062b6d"},
-    {file = "aiohttp-3.11.10-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0c9527819b29cd2b9f52033e7fb9ff08073df49b4799c89cb5754624ecd98299"},
-    {file = "aiohttp-3.11.10-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65a96e3e03300b41f261bbfd40dfdbf1c301e87eab7cd61c054b1f2e7c89b9e8"},
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 [package.dependencies]
@@ -136,13 +136,13 @@ files = [
 
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+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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 [package.extras]
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 trio = ["trio (>=0.26.1)"]
 
 [[package]]
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 [package.dependencies]
@@ -808,13 +795,13 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "importlib-resources"
-version = "6.4.5"
+version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -841,13 +828,13 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -968,19 +955,19 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.3.12"
+version = "0.3.14"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.3.25,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
 langchain-text-splitters = ">=0.3.3,<0.4.0"
 langsmith = ">=0.1.17,<0.3"
 numpy = [
@@ -995,21 +982,21 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-community"
-version = "0.3.12"
+version = "0.3.14"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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-langchain = ">=0.3.12,<0.4.0"
-langchain-core = ">=0.3.25,<0.4.0"
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 langsmith = ">=0.1.125,<0.3"
 numpy = [
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@@ -1023,13 +1010,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.25"
+version = "0.3.29"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1043,43 +1030,43 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.12"
+version = "0.2.14"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
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-openai = ">=1.55.3,<2.0.0"
+langchain-core = ">=0.3.27,<0.4.0"
+openai = ">=1.58.1,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.3.3"
+version = "0.3.5"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 [package.dependencies]
-langchain-core = ">=0.3.25,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
 
 [[package]]
 name = "langsmith"
-version = "0.2.3"
+version = "0.2.10"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1090,6 +1077,7 @@ requests = ">=2,<3"
 requests-toolbelt = ">=1.0.0,<2.0.0"
 
 [package.extras]
+compression = ["zstandard (>=0.23.0,<0.24.0)"]
 langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
 
 [[package]]
@@ -1164,13 +1152,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.23.1"
+version = "3.24.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
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 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -1178,7 +1166,7 @@ packaging = ">=17.0"
 
 [package.extras]
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+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -1343,77 +1331,77 @@ files = [
 
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 python-versions = ">=3.10"
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 [package.extras]
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+    {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
+    {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
 ]
 
 [package.extras]
@@ -2000,17 +1989,17 @@ pysigma = ">=0.9.5"
 
 [[package]]
 name = "pysigma-backend-splunk"
-version = "1.1.0"
+version = "1.1.2"
 description = "pySigma Splunk backend"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pysigma_backend_splunk-1.1.0-py3-none-any.whl", hash = "sha256:c681bae6480496604af1f230c2fd0d697cf187482730c5a07789d9141f81faa2"},
-    {file = "pysigma_backend_splunk-1.1.0.tar.gz", hash = "sha256:82c979e2e1e153d69c186cdc7457987132b721ffd8e60a8696a5c84905b64f0d"},
+    {file = "pysigma_backend_splunk-1.1.2-py3-none-any.whl", hash = "sha256:607d156b9befb31253acf3cc4842c6e963af19114a54bf2db5f79e0bee2a576a"},
+    {file = "pysigma_backend_splunk-1.1.2.tar.gz", hash = "sha256:14316b5817ea78cc89b3f5a71b88da0db9172f65ab2a1137f09e0ff838c4a17d"},
 ]
 
 [package.dependencies]
-pysigma = ">=0.11.1,<0.12.0"
+pysigma = ">=0.11.18,<0.12.0"
 
 [[package]]
 name = "pysigma-backend-stix2"
@@ -2309,29 +2298,29 @@ requests = ">=2.0.1,<3.0.0"
 
 [[package]]
 name = "ruff"
-version = "0.8.3"
+version = "0.8.6"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.8.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9257aa841e9e8d9b727423086f0fa9a86b6b420fbf4bf9e1465d1250ce8e4d8d"},
+    {file = "ruff-0.8.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:45a56f61b24682f6f6709636949ae8cc82ae229d8d773b4c76c09ec83964a95a"},
+    {file = "ruff-0.8.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:496dd38a53aa173481a7d8866bcd6451bd934d06976a2505028a50583e001b76"},
+    {file = "ruff-0.8.6-py3-none-win32.whl", hash = "sha256:e169ea1b9eae61c99b257dc83b9ee6c76f89042752cb2d83486a7d6e48e8f764"},
+    {file = "ruff-0.8.6-py3-none-win_amd64.whl", hash = "sha256:f1d70bef3d16fdc897ee290d7d20da3cbe4e26349f62e8a0274e7a3f4ce7a905"},
+    {file = "ruff-0.8.6-py3-none-win_arm64.whl", hash = "sha256:7d7fc2377a04b6e04ffe588caad613d0c460eb2ecba4c0ccbbfe2bc973cbc162"},
+    {file = "ruff-0.8.6.tar.gz", hash = "sha256:dcad24b81b62650b0eb8814f576fc65cfee8674772a6e24c9b747911801eeaa5"},
 ]
 
 [[package]]
@@ -2602,13 +2591,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]

From c63be77e9b9790e540e06c70e1636ae10298e57d Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Fri, 10 Jan 2025 15:22:49 -0800
Subject: [PATCH 44/47] Update aiohttp to version 3.11.11

Upgraded aiohttp from version 3.11.10 to 3.11.11 in `poetry.lock`. This likely includes bug fixes or improvements. Ensure compatibility by validating changes with dependent systems.
---
 poetry.lock | 334 ++++++++++++++++++++++++++--------------------------
 1 file changed, 167 insertions(+), 167 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 25f836e..0135876 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1030,17 +1030,17 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.2.14"
+version = "0.3.0"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_openai-0.2.14-py3-none-any.whl", hash = "sha256:d232496662f79ece9a11caf7d798ba863e559c771bc366814f7688e0fe664fe8"},
-    {file = "langchain_openai-0.2.14.tar.gz", hash = "sha256:7a514f309e356b182a337c0ed36ab3fbe34d9834a235a3b85cb7f91ae775d978"},
+    {file = "langchain_openai-0.3.0-py3-none-any.whl", hash = "sha256:49c921a22d272b04749a61e78bffa83aecdb8840b24b69f2909e115a357a9a5b"},
+    {file = "langchain_openai-0.3.0.tar.gz", hash = "sha256:88d623eeb2aaa1fff65c2b419a4a1cfd37d3a1d504e598b87cf0bc822a3b70d0"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.3.27,<0.4.0"
+langchain-core = ">=0.3.29,<0.4.0"
 openai = ">=1.58.1,<2.0.0"
 tiktoken = ">=0.7,<1"
 
@@ -1152,13 +1152,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.24.1"
+version = "3.25.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "marshmallow-3.24.1-py3-none-any.whl", hash = "sha256:ddb5c9987017d37be351c184e4e867e7bf55f7331f4da730dedad6b7af662cdd"},
-    {file = "marshmallow-3.24.1.tar.gz", hash = "sha256:efdcb656ac8788f0e3d1d938f8dc0f237bf1a99aff8f6dfbffa594981641cea0"},
+    {file = "marshmallow-3.25.0-py3-none-any.whl", hash = "sha256:50894cd57c6b097a6c6ed2bf216af47d10146990a54db52d03e32edb0448c905"},
+    {file = "marshmallow-3.25.0.tar.gz", hash = "sha256:5ba94a4eb68894ad6761a505eb225daf7e5cb7b4c32af62d4a45e9d42665bc31"},
 ]
 
 [package.dependencies]
@@ -1395,13 +1395,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.59.4"
+version = "1.59.6"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.59.4-py3-none-any.whl", hash = "sha256:82113498699998e98104f87c19a890e82df9b01251a0395484360575d3a1d98a"},
-    {file = "openai-1.59.4.tar.gz", hash = "sha256:b946dc5a2308dc1e03efbda80bf1cd64b6053b536851ad519f57ee44401663d2"},
+    {file = "openai-1.59.6-py3-none-any.whl", hash = "sha256:b28ed44eee3d5ebe1a3ea045ee1b4b50fea36ecd50741aaa5ce5a5559c900cb6"},
+    {file = "openai-1.59.6.tar.gz", hash = "sha256:c7670727c2f1e4473f62fea6fa51475c8bc098c9ffb47bfb9eef5be23c747934"},
 ]
 
 [package.dependencies]
@@ -1420,86 +1420,86 @@ realtime = ["websockets (>=13,<15)"]
 
 [[package]]
 name = "orjson"
-version = "3.10.13"
+version = "3.10.14"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "SQLAlchemy-2.0.37-cp39-cp39-win32.whl", hash = "sha256:03f0528c53ca0b67094c4764523c1451ea15959bbf0a8a8a3096900014db0278"},
+    {file = "SQLAlchemy-2.0.37-cp39-cp39-win_amd64.whl", hash = "sha256:4b12885dc85a2ab2b7d00995bac6d967bffa8594123b02ed21e8eb2205a7584b"},
+    {file = "SQLAlchemy-2.0.37-py3-none-any.whl", hash = "sha256:a8998bf9f8658bd3839cbc44ddbe982955641863da0c1efe5b00c1ab4f5c16b1"},
+    {file = "sqlalchemy-2.0.37.tar.gz", hash = "sha256:12b28d99a9c14eaf4055810df1001557176716de0167b91026e648e65229bffb"},
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
+greenlet = {version = "!=0.4.17", markers = "python_version < \"3.14\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 typing-extensions = ">=4.6.0"
 
 [package.extras]

From 459258c57781b410d52c9d6e69cfa4d688f4995f Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Mon, 13 Jan 2025 11:59:51 -0800
Subject: [PATCH 45/47] Update dependencies for marshmallow and openai

Bumped marshmallow to version 3.25.1 and openai to version 1.59.7 in the poetry.lock file. Also updated
---
 poetry.lock | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 0135876..e9c94c4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1152,13 +1152,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.25.0"
+version = "3.25.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "marshmallow-3.25.0-py3-none-any.whl", hash = "sha256:50894cd57c6b097a6c6ed2bf216af47d10146990a54db52d03e32edb0448c905"},
-    {file = "marshmallow-3.25.0.tar.gz", hash = "sha256:5ba94a4eb68894ad6761a505eb225daf7e5cb7b4c32af62d4a45e9d42665bc31"},
+    {file = "marshmallow-3.25.1-py3-none-any.whl", hash = "sha256:ec5d00d873ce473b7f2ffcb7104286a376c354cab0c2fa12f5573dab03e87210"},
+    {file = "marshmallow-3.25.1.tar.gz", hash = "sha256:f4debda3bb11153d81ac34b0d582bf23053055ee11e791b54b4b35493468040a"},
 ]
 
 [package.dependencies]
@@ -1166,7 +1166,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
-docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
+docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -1395,13 +1395,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.59.6"
+version = "1.59.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.59.6-py3-none-any.whl", hash = "sha256:b28ed44eee3d5ebe1a3ea045ee1b4b50fea36ecd50741aaa5ce5a5559c900cb6"},
-    {file = "openai-1.59.6.tar.gz", hash = "sha256:c7670727c2f1e4473f62fea6fa51475c8bc098c9ffb47bfb9eef5be23c747934"},
+    {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
+    {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
 ]
 
 [package.dependencies]

From 22e267c857ad73394ccd71ab38c7a6867960e366 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Mon, 13 Jan 2025 19:59:13 -0800
Subject: [PATCH 46/47] Revert "Update dependencies for marshmallow and openai"

This reverts commit 459258c57781b410d52c9d6e69cfa4d688f4995f.
---
 poetry.lock | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index e9c94c4..0135876 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1152,13 +1152,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.25.1"
+version = "3.25.0"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "marshmallow-3.25.1-py3-none-any.whl", hash = "sha256:ec5d00d873ce473b7f2ffcb7104286a376c354cab0c2fa12f5573dab03e87210"},
-    {file = "marshmallow-3.25.1.tar.gz", hash = "sha256:f4debda3bb11153d81ac34b0d582bf23053055ee11e791b54b4b35493468040a"},
+    {file = "marshmallow-3.25.0-py3-none-any.whl", hash = "sha256:50894cd57c6b097a6c6ed2bf216af47d10146990a54db52d03e32edb0448c905"},
+    {file = "marshmallow-3.25.0.tar.gz", hash = "sha256:5ba94a4eb68894ad6761a505eb225daf7e5cb7b4c32af62d4a45e9d42665bc31"},
 ]
 
 [package.dependencies]
@@ -1166,7 +1166,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
-docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"]
+docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -1395,13 +1395,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.59.7"
+version = "1.59.6"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
-    {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
+    {file = "openai-1.59.6-py3-none-any.whl", hash = "sha256:b28ed44eee3d5ebe1a3ea045ee1b4b50fea36ecd50741aaa5ce5a5559c900cb6"},
+    {file = "openai-1.59.6.tar.gz", hash = "sha256:c7670727c2f1e4473f62fea6fa51475c8bc098c9ffb47bfb9eef5be23c747934"},
 ]
 
 [package.dependencies]

From ca082c9054ed7e0b066227e6b77ae83c82ee2529 Mon Sep 17 00:00:00 2001
From: Rajesh Sharma <sharrajesh@gmail.com>
Date: Tue, 14 Jan 2025 17:41:57 -0800
Subject: [PATCH 47/47] Update dependencies: marshmallow, openai, and pysigma

Bumped marshmallow to 3.25.1, openai to 1.59.7, and pysigma to 0.11.19 in the poetry.lock file. Adjusted doc-related dependencies by introducing furo, sphinx-copybutton, and sphinxext-opengraph. These updates ensure compatibility and improve documentation tooling.
---
 poetry.lock | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 0135876..7051368 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1152,13 +1152,13 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.25.0"
+version = "3.25.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "marshmallow-3.25.0-py3-none-any.whl", hash = "sha256:50894cd57c6b097a6c6ed2bf216af47d10146990a54db52d03e32edb0448c905"},
-    {file = "marshmallow-3.25.0.tar.gz", hash = "sha256:5ba94a4eb68894ad6761a505eb225daf7e5cb7b4c32af62d4a45e9d42665bc31"},
+    {file = "marshmallow-3.25.1-py3-none-any.whl", hash = "sha256:ec5d00d873ce473b7f2ffcb7104286a376c354cab0c2fa12f5573dab03e87210"},
+    {file = "marshmallow-3.25.1.tar.gz", hash = "sha256:f4debda3bb11153d81ac34b0d582bf23053055ee11e791b54b4b35493468040a"},
 ]
 
 [package.dependencies]
@@ -1166,7 +1166,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"]
-docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"]
+docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"]
 tests = ["pytest", "simplejson"]
 
 [[package]]
@@ -1395,13 +1395,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.59.6"
+version = "1.59.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.59.6-py3-none-any.whl", hash = "sha256:b28ed44eee3d5ebe1a3ea045ee1b4b50fea36ecd50741aaa5ce5a5559c900cb6"},
-    {file = "openai-1.59.6.tar.gz", hash = "sha256:c7670727c2f1e4473f62fea6fa51475c8bc098c9ffb47bfb9eef5be23c747934"},
+    {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
+    {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
 ]
 
 [package.dependencies]
@@ -1814,13 +1814,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pysigma"
-version = "0.11.18"
+version = "0.11.19"
 description = "Sigma rule processing and conversion tools"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "pysigma-0.11.18-py3-none-any.whl", hash = "sha256:0c6fe40bac12dc214b529ed87e8aae2ae350d68cf76e2e9e6176981f1976c615"},
-    {file = "pysigma-0.11.18.tar.gz", hash = "sha256:eb625590dbc9822bed9ad0d64cb42fb3df69581d98c0c87f674df255b1a617d7"},
+    {file = "pysigma-0.11.19-py3-none-any.whl", hash = "sha256:5e5f669fbb9fdf1e6e2a3f096b5c5c0c167ec333dafa9975e6481f9fb34294b2"},
+    {file = "pysigma-0.11.19.tar.gz", hash = "sha256:075df35e56f2128491f8ad501cc063d88d282879d37b50213fc6b5008fac8625"},
 ]
 
 [package.dependencies]