diff --git a/libs/oci/README.md b/libs/oci/README.md index 91b4069..d33813d 100644 --- a/libs/oci/README.md +++ b/libs/oci/README.md @@ -79,6 +79,32 @@ structured_llm = llm.with_structured_output(Joke) structured_llm.invoke("Tell me a joke about programming") ``` +### 5. Use OpenAI Responses API +`ChatOCIOpenAI` supports OpenAI Responses API. + +```python +from langchain_oci import ( + ChatOCIOpenAI, + OCISessionAuth, +) +client = ChatOCIOpenAI( + auth=OCISessionAuth(profile_name="MY_PROFILE_NAME"), + compartment_id="MY_COMPARTMENT_ID", + region="MY_REGION", + override_url="MY_OVERRIDE_URL", + model="MY_MODEL", + conversation_store_id="MY_CONVERSATION_STORE_ID" + ) +messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] +response = client.invoke(messages) +``` + ## OCI Data Science Model Deployment Examples diff --git a/libs/oci/examples/__init__.py b/libs/oci/examples/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/oci/examples/chat_models/__init__.py b/libs/oci/examples/chat_models/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py new file mode 100644 index 0000000..145668f --- /dev/null +++ b/libs/oci/examples/chat_models/langchain_oci_openai_responses_api_example.py @@ -0,0 +1,114 @@ +from langchain_core.prompts import ChatPromptTemplate +from pydantic import BaseModel, Field + +from langchain_oci import ChatOCIOpenAI, OCISessionAuth + +COMPARTMENT_ID = "" +CONVERSATION_STORE_ID = "" +OVERRIDE_URL = "" +REGION = "" +MODEL = "" +PROFILE_NAME = "" + + +def get_oci_openai_client(): + return ChatOCIOpenAI( + auth=OCISessionAuth(profile_name=PROFILE_NAME), + compartment_id=COMPARTMENT_ID, + region=REGION, + override_url=OVERRIDE_URL, + model=MODEL, + conversation_store_id=CONVERSATION_STORE_ID, + ) + + +def do_model_invoke(): + client = get_oci_openai_client() + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + response = client.invoke(messages) + return response + + +def do_prompt_chaining(): + client = get_oci_openai_client() + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + "You are a helpful assistant that translates {input_language} to {output_language}.", + ), + ("human", "{input}"), + ] + ) + + chain = prompt | client + response = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + return response + + +def do_function_calling(): + class GetWeather(BaseModel): + """Get the current weather in a given location""" + + location: str = Field( + ..., description="The city and state, e.g. San Francisco, CA" + ) + + client = get_oci_openai_client() + llm_with_tools = client.bind_tools([GetWeather]) + response = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + return response + + +def do_web_search(): + client = get_oci_openai_client() + tool = {"type": "web_search"} + llm_with_tools = client.bind_tools([tool]) + + response = llm_with_tools.invoke("What was a positive news story from today?") + return response + + +def do_hosted_mcp_calling(): + client = get_oci_openai_client() + llm_with_mcp_tools = client.bind_tools( + [ + { + "type": "mcp", + "server_label": "deepwiki", + "server_url": "https://mcp.deepwiki.com/mcp", + "require_approval": "never", + } + ] + ) + response = llm_with_mcp_tools.invoke( + "What transport protocols does the 2025-03-26 version of the MCP " + "spec (modelcontextprotocol/modelcontextprotocol) support?" + ) + return response + + +def main(): + do_model_invoke() + do_prompt_chaining() + do_function_calling() + do_web_search() + do_hosted_mcp_calling() + + +if __name__ == "__main__": + main() diff --git a/libs/oci/langchain_oci/__init__.py b/libs/oci/langchain_oci/__init__.py index eb6df32..1c19da4 100644 --- a/libs/oci/langchain_oci/__init__.py +++ b/libs/oci/langchain_oci/__init__.py @@ -7,6 +7,13 @@ ChatOCIModelDeploymentVLLM, ) from langchain_oci.chat_models.oci_generative_ai import ChatOCIGenAI +from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + ChatOCIOpenAI, + OCIInstancePrincipleAuth, + OCIResourcePrincipleAuth, + OCISessionAuth, + OCIUserPrincipleAuth, +) from langchain_oci.embeddings.oci_data_science_model_deployment_endpoint import ( OCIModelDeploymentEndpointEmbeddings, ) @@ -32,4 +39,9 @@ "OCIModelDeploymentLLM", "OCIModelDeploymentTGI", "OCIModelDeploymentVLLM", + "ChatOCIOpenAI", + "OCISessionAuth", + "OCIResourcePrincipleAuth", + "OCIInstancePrincipleAuth", + "OCIUserPrincipleAuth", ] diff --git a/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py new file mode 100644 index 0000000..60b0255 --- /dev/null +++ b/libs/oci/langchain_oci/chat_models/oci_generative_ai_responses_api.py @@ -0,0 +1,381 @@ +import importlib +from typing import Any, Generator, Mapping, Union + +import httpx +import oci +import requests +from langchain_openai import ChatOpenAI +from oci.config import DEFAULT_LOCATION, DEFAULT_PROFILE +from openai import ( + DEFAULT_MAX_RETRIES, + NOT_GIVEN, + AsyncOpenAI, + NotGiven, + OpenAI, + Timeout, +) +from pydantic import SecretStr, model_validator + +from langchain_oci.llms.utils import get_base_url, get_sync_httpx_client, get_async_httpx_client + +API_KEY = "" +COMPARTMENT_ID_HEADER = "opc-compartment-id" +CONVERSATION_STORE_ID_HEADER = "opc-conversation-store-id" +OUTPUT_VERSION = "responses/v1" + + +class OCIHttpxAuth(httpx.Auth): + """ + Custom HTTPX authentication class that implements OCI request signing. + + This class handles the authentication flow for HTTPX requests by signing them + using the OCI Signer, which adds the necessary authentication headers for OCI + API calls. + + Attributes: + signer (oci.signer.Signer): The OCI signer instance used for request signing + """ + + def __init__(self, signer: Any): + self.signer = signer + + def auth_flow( + self, request: httpx.Request + ) -> Generator[httpx.Request, httpx.Response, None]: + req = requests.Request( + method=request.method, + url=str(request.url), + headers=dict(request.headers), + data=request.content, + ) + prepared_request = req.prepare() + + # Sign the request using the OCI Signer + self.signer.do_request_sign(prepared_request) + + # Update the original HTTPX request with the signed headers + request.headers.update(prepared_request.headers) + + yield request + + +class OCISessionAuth(OCIHttpxAuth): + """ + OCI authentication implementation using session-based authentication. + + This class implements OCI authentication using a session token and private key + loaded from the OCI configuration file. It's suitable for interactive user sessions. + + """ + + def __init__( + self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE + ): + config = oci.config.from_file(config_file, profile_name) + token = self._load_token(config) + private_key = self._load_private_key(config) + super().__init__( + signer=oci.auth.signers.SecurityTokenSigner(token, private_key) + ) + + def _load_token(self, config: Any) -> str: + token_file = config["security_token_file"] + with open(token_file, "r") as f: + return f.read().strip() + + def _load_private_key(self, config: Any) -> str: + return oci.signer.load_private_key_from_file(config["key_file"]) + + +class OCIResourcePrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using Resource Principal authentication. + + This class implements OCI authentication using Resource Principal credentials, + which is suitable for services running within OCI that need to access other + OCI services. + """ + + def __init__(self, signer: Any) -> None: + super().__init__(signer=oci.auth.signers.get_resource_principals_signer()) + + +class OCIInstancePrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using Instance Principal authentication. + + This class implements OCI authentication using Instance Principal credentials, + which is suitable for compute instances that need to access OCI services. + """ + + def __init__(self, **kwargs: Any) -> None: + super().__init__( + signer=oci.auth.signers.InstancePrincipalsSecurityTokenSigner(**kwargs) + ) + + +class OCIUserPrincipleAuth(OCIHttpxAuth): + """ + OCI authentication implementation using user principle authentication. + + This class implements OCI authentication using API Key credentials loaded from + the OCI configuration file. It's suitable for programmatic access to OCI services. + + Attributes: + signer (oci.signer.Signer): OCI signer configured with API key credentials + """ + + def __init__( + self, config_file: str = DEFAULT_LOCATION, profile_name: str = DEFAULT_PROFILE + ) -> None: + config = oci.config.from_file(config_file, profile_name) + oci.config.validate_config(config) + + signer = oci.signer.Signer( + tenancy=config["tenancy"], + user=config["user"], + fingerprint=config["fingerprint"], + private_key_file_location=config.get("key_file"), + # pass_phrase is optional and can be None + pass_phrase=oci.config.get_config_value_or_default(config, "pass_phrase"), + # private_key_content is optional and can be None + private_key_content=config.get("key_content"), + ) + super().__init__(signer=signer) + + +class OCIOpenAI(OpenAI): + """ + A custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) + GenAI Unified API confirming to OpenAI Responses API. + + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): Compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + timeout (float | Timeout | None | NotGiven): Request timeout configuration + max_retries (int): Maximum number of retry attempts for failed requests + default_headers (Mapping[str, str] | None): Default HTTP headers + default_query (Mapping[str, object] | None): Default query parameters + override_url (str): OCI Unified API URL to override , if it's different from base url + """ + + def __init__( + self, + auth: httpx.Auth, + compartment_id: str, + conversation_store_id: str, + region: str = "", + override_url: str = "", + timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, + max_retries: int = DEFAULT_MAX_RETRIES, + default_headers: Union[Mapping[str, str], None] = None, + default_query: Union[Mapping[str, object], None] = None, + ) -> None: + super().__init__( + api_key=API_KEY, + base_url=get_base_url(region=region, override_url=override_url), + timeout=timeout, + max_retries=max_retries, + default_headers=default_headers, + default_query=default_query, + http_client=get_sync_httpx_client( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } + ), + ) + + +class OCIAsyncOpenAI(AsyncOpenAI): + """ + A async custom OpenAI client implementation for Oracle Cloud Infrastructure (OCI) GenAI + Unified API confirming to OpenAI Responses API. + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): OCI compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + timeout (float | Timeout | None | NotGiven): Request timeout configuration + max_retries (int): Maximum number of retry attempts for failed requests + default_headers (Mapping[str, str] | None): Default HTTP headers + default_query (Mapping[str, object] | None): Default query parameters + override_url (str): OCI Unified API URL to override , if it's different from base url + """ + + def __init__( + self, + auth: httpx.Auth, + compartment_id: str, + conversation_store_id: str, + region: str = "", + override_url: str = "", + timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, + max_retries: int = DEFAULT_MAX_RETRIES, + default_headers: Union[Mapping[str, str], None] = None, + default_query: Union[Mapping[str, object], None] = None, + ) -> None: + super().__init__( + api_key=API_KEY, + base_url=get_base_url(region=region, override_url=override_url), + timeout=timeout, + max_retries=max_retries, + default_headers=default_headers, + default_query=default_query, + http_client=get_async_httpx_client( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } + ), + ) + + +class ChatOCIOpenAI(ChatOpenAI): + """A custom OCI OpenAI client implementation confirming to OpenAI Responses API. + + Setup: + Install ``openai`` and ``langchain-openai``. + + .. code-block:: bash + + pip install -U langchain-oci openai langchain-openai + + Attributes: + auth (httpx.Auth): Authentication handler for OCI + compartment_id (str): OCI compartment ID for resource isolation + conversation_store_id (str): Conversation Store Id to use when generating responses + region (str): OCI Region where the OCI GenAI Unified API resides + model (str): Name of OpenAI model to use. + override_url (str): OCI Unified API URL to override , if it's different from base url + + Instantiate: + .. code-block:: python + + from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + ChatOCIOpenAI, OCIResourcePrincipleAuth, + ) + client = ChatOCIOpenAI( + auth=OCIResourcePrincipleAuth(), + compartment_id=COMPARTMENT_ID, + region=REGION, + override_url=OVERRIDE_URL, + model=MODEL, + conversation_store_id=CONVERSATION_STORE_ID, + ) + + Invoke: + .. code-block:: python + + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + response = client.invoke(messages) + + Prompt Chaining: + .. code-block:: python + + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + "You are a helpful assistant that translates {input_language} to {output_language}.", + ), + ("human", "{input}"), + ] + ) + chain = prompt | client + response = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + + Function Calling: + .. code-block:: python + + class GetWeather(BaseModel): + location: str = Field( + ..., description="The city and state, e.g. San Francisco, CA" + ) + + llm_with_tools = client.bind_tools([GetWeather]) + ai_msg = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + response = ai_msg.tool_calls + + Web Search: + .. code-block:: python + + tool = {"type": "web_search_preview"} + llm_with_tools = client.bind_tools([tool]) + response = llm_with_tools.invoke("What was a positive news story from today?") + + Hosted MCP Calling: + .. code-block:: python + + llm_with_mcp_tools = client.bind_tools( + [ + { + "type": "mcp", + "server_label": "deepwiki", + "server_url": "https://mcp.deepwiki.com/mcp", + "require_approval": "never", + } + ] + ) + response = llm_with_mcp_tools.invoke( + "What transport protocols does the 2025-03-26 version of the MCP " + "spec (modelcontextprotocol/modelcontextprotocol) support?" + ) + """ + + @model_validator(mode="before") + @classmethod + def validate_openai(cls, values: Any) -> Any: + """Checks if langchain_openai is installed.""" + if not importlib.util.find_spec("langchain_openai"): + raise ImportError( + "Could not import langchain_openai package. " + "Please install it with `pip install langchain_openai`." + ) + return values + + def __init__( + self, + auth: OCISessionAuth, + compartment_id: str, + conversation_store_id: str, + region: str, + model: str, + override_url: str = "", + **kwargs: Any, + ): + super().__init__( + model=model, + api_key=SecretStr(API_KEY), + http_client=get_sync_httpx_client( + auth=auth, + headers={ + COMPARTMENT_ID_HEADER: compartment_id, + CONVERSATION_STORE_ID_HEADER: conversation_store_id, + } + ), + base_url=get_base_url(region, override_url), + use_responses_api=True, + output_version=OUTPUT_VERSION, + **kwargs, + ) diff --git a/libs/oci/langchain_oci/llms/utils.py b/libs/oci/langchain_oci/llms/utils.py index bc55573..b39a280 100644 --- a/libs/oci/langchain_oci/llms/utils.py +++ b/libs/oci/langchain_oci/llms/utils.py @@ -4,9 +4,38 @@ """Common utility functions for LLM APIs.""" import re -from typing import List +from typing import List, Dict + +import httpx +from openai import DefaultHttpxClient, DefaultAsyncHttpxClient def enforce_stop_tokens(text: str, stop: List[str]) -> str: """Cut off the text as soon as any stop words occur.""" return re.split("|".join(stop), text, maxsplit=1)[0] + + +def get_base_url(region: str, override_url: str = "") -> str: + return ( + override_url + if override_url + else f"https://inference.generativeai.{region}.oci.oraclecloud.com/openai/v1" + ) + + +def get_sync_httpx_client( + auth: httpx.Auth, headers: Dict[str, str] +) -> httpx.Client: + return DefaultHttpxClient( + auth=auth, + headers=headers, + ) + + +def get_async_httpx_client( + auth: httpx.Auth, headers: Dict[str, str] +) -> httpx.AsyncClient: + return DefaultAsyncHttpxClient( + auth=auth, + headers=headers, + ) diff --git a/libs/oci/poetry.lock b/libs/oci/poetry.lock index edfde9c..8d10d36 100644 --- a/libs/oci/poetry.lock +++ b/libs/oci/poetry.lock @@ -1,109 +1,150 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. 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unittest.mock import MagicMock, patch + +import pytest +from httpx import Request +from langchain_core.messages import BaseMessage, HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langgraph.graph import END, START, StateGraph +from pydantic import BaseModel, Field + +from langchain_oci.chat_models.oci_generative_ai_responses_api import ( + COMPARTMENT_ID_HEADER, + CONVERSATION_STORE_ID_HEADER, + ChatOCIOpenAI, + OCIInstancePrincipleAuth, + OCIResourcePrincipleAuth, + OCISessionAuth, +) +from langchain_oci.llms.utils import get_base_url + +COMPARTMENT_ID = "ocid1.compartment.oc1..dummy" +CONVERSATION_STORE_ID = "ocid1.generativeaiconversationstore.oc1..dummy" +REGION = "us-chicago-1" +MODEL = "openai.gpt-4o" +SESSION_PRINCIPAL = "session_principal" +RESOURCE_PRINCIPAL = "resource_principal" +INSTANCE_PRINCIPAL = "instance_principal" +BASE_URL = get_base_url(region="us-chicago-1") +RESPONSES_URL = f"{BASE_URL}/responses" +RESPONSE_ID = "resp_123" + + +# Fixtures +@pytest.fixture( + params=[ + (SESSION_PRINCIPAL, OCISessionAuth, {"profile_name": "DEFAULT"}), + (RESOURCE_PRINCIPAL, OCIResourcePrincipleAuth, {}), + (INSTANCE_PRINCIPAL, OCIInstancePrincipleAuth, {}), + ], + ids=[SESSION_PRINCIPAL, RESOURCE_PRINCIPAL, INSTANCE_PRINCIPAL], +) +def auth_instance(request): + name, auth_class, kwargs = request.param + + def set_signer(signer_name: str): + dummy_signer = MagicMock() + patcher = patch(signer_name, return_value=dummy_signer) + patcher.start() + request.addfinalizer(patcher.stop) + kwargs["signer"] = dummy_signer + + if name == RESOURCE_PRINCIPAL: + set_signer(signer_name="oci.auth.signers.get_resource_principals_signer") + elif name == INSTANCE_PRINCIPAL: + set_signer(signer_name="oci.auth.signers.InstancePrincipalsSecurityTokenSigner") + elif name == "session_principal": + # --- Patch config + signer + token/private_key loading --- + patch_config = patch( + "oci.config.from_file", + return_value={ + "user": "ocid1.user.oc1..dummy", + "fingerprint": "dummyfp", + "key_file": "/fake/key.pem", + "tenancy": "ocid1.tenancy.oc1..dummy", + "region": "us-chicago-1", + "security_token_file": "/fake/token", + }, + ) + patch_token = patch.object( + OCISessionAuth, "_load_token", return_value="fake_token_string" + ) + patch_private_key = patch.object( + OCISessionAuth, "_load_private_key", return_value="fake_private_key_data" + ) + patch_signer = patch( + "oci.auth.signers.SecurityTokenSigner", return_value=MagicMock() + ) + # Start all patches + for p in [patch_config, patch_token, patch_private_key, patch_signer]: + p.start() + request.addfinalizer(p.stop) + + return auth_class(**kwargs) + + +def _assert_common(httpx_mock): + last_request: Request = httpx_mock.get_requests()[0] + assert "Authorization" in last_request.headers + assert last_request.headers.get(COMPARTMENT_ID_HEADER) == COMPARTMENT_ID + assert ( + last_request.headers.get(CONVERSATION_STORE_ID_HEADER) == CONVERSATION_STORE_ID + ) + + +function_tools = [ + { + "type": "function", + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location", "unit"], + }, + } +] + + +def _set_mock_client_invoke_response(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "message", + "status": "completed", + "content": [ + {"type": "output_text", "text": "j'adore la programmation"} + ], + } + ], + }, + status_code=200, + ) + + +class GetWeather(BaseModel): + """Get the current weather in a given location""" + + location: str = Field(..., description="The city and state, e.g. San Francisco, CA") + + +def _set_mock_create_response_with_fc_tools(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "function_call", + "id": "fc_67ca09c6bedc8190a7abfec07b1a1332096610f474011cc0", + "call_id": "call_unLAR8MvFNptuiZK6K6HCy5k", + "name": "get_current_weather", + "arguments": '{"location":"San Francisco, MA","unit":"celsius"}', + "status": "completed", + } + ], + "tools": function_tools, + }, + status_code=200, + ) + + +def _set_mock_create_response_with_file_input(httpx_mock): + text = "The file seems to contain excerpts from a letter to the shareholders" + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "id": "msg_686ee", + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "annotations": [], + "logprobs": [], + "text": text, + } + ], + "role": "assistant", + } + ], + }, + status_code=200, + ) + + +# +def _set_mock_create_response_with_web_search(httpx_mock): + text = "As of today, Oct 7, 2025, one notable positive news story..." + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + {"type": "web_search_call", "id": "ws_67cc", "status": "completed"}, + { + "type": "message", + "id": "msg_67cc", + "status": "completed", + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": text, + "annotations": [ + { + "type": "url_citation", + "start_index": 442, + "end_index": 557, + "url": "https://.../?utm_source=chatgpt.com", + "title": "...", + }, + { + "type": "url_citation", + "start_index": 962, + "end_index": 1077, + "url": "https://.../?utm_source=chatgpt.com", + "title": "...", + }, + ], + } + ], + }, + ], + }, + status_code=200, + ) + + +@pytest.fixture +def oci_openai_client(auth_instance): + """Return a ready OCIOpenAI client for any auth type.""" + client = ChatOCIOpenAI( + auth=auth_instance, + compartment_id=COMPARTMENT_ID, + conversation_store_id=CONVERSATION_STORE_ID, + region=REGION, + model=MODEL, + ) + return client + + +@pytest.mark.usefixtures("httpx_mock") +def test_client_invoke(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_client_invoke_response(httpx_mock=httpx_mock) + messages = [ + ( + "system", + "You are a helpful translator. Translate the user sentence to French.", + ), + ("human", "I love programming."), + ] + + # ---- Act ---- + result = oci_openai_client.invoke(messages) + + # ---- Assert ---- + assert result.content[0]["text"] == "j'adore la programmation" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_prompt_chaining(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + message = """ + You are a helpful assistant that translates {input_language} to {output_language}. + """ + _set_mock_client_invoke_response(httpx_mock=httpx_mock) + prompt = ChatPromptTemplate.from_messages( + [ + ( + "system", + message, + ), + ("human", "{input}"), + ] + ) + chain = prompt | oci_openai_client + + # ---- Act ---- + result = chain.invoke( + { + "input_language": "English", + "output_language": "German", + "input": "I love programming.", + } + ) + # ---- Assert ---- + assert result.content[0]["text"] == "j'adore la programmation" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_tools_invoke(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_create_response_with_fc_tools(httpx_mock=httpx_mock) + llm_with_tools = oci_openai_client.bind_tools([GetWeather]) + + # ---- Act ---- + ai_msg = llm_with_tools.invoke( + "what is the weather like in San Francisco", + ) + + # ---- Assert ---- + assert ai_msg.content[0]["type"] == "function_call" + assert ai_msg.content[0]["name"] == "get_current_weather" + json.loads((ai_msg.content[0]["arguments"]))["location"] == "San Francisco, MA" + _assert_common(httpx_mock=httpx_mock) + + +@pytest.mark.usefixtures("httpx_mock") +def test_web_search(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_create_response_with_web_search(httpx_mock=httpx_mock) + tool = {"type": "web_search_preview"} + llm_with_tools = oci_openai_client.bind_tools([tool]) + + # ---- Act ---- + response = llm_with_tools.invoke("What was a positive news story from today?") + + # ---- Assert ---- + assert len(response.content) == 2 + assert response.content[0]["type"] == "web_search_call" + assert response.content[1]["type"] == "text" + assert len(response.content[1]["annotations"]) == 2 + _assert_common(httpx_mock=httpx_mock) + + +def _set_mock_client_invoke_response_langgraph(httpx_mock): + httpx_mock.add_response( + url=RESPONSES_URL, + method="POST", + json={ + "id": RESPONSE_ID, + "output": [ + { + "type": "message", + "status": "completed", + "content": [ + { + "type": "output_text", + "text": "Paris is the capital of France", + } + ], + } + ], + }, + status_code=200, + ) + + +@pytest.mark.usefixtures("httpx_mock") +def test_chat_graph(httpx_mock, auth_instance, oci_openai_client): + # ---- Arrange ---- + _set_mock_client_invoke_response_langgraph(httpx_mock=httpx_mock) + + class AgentState(TypedDict): + messages: List[BaseMessage] + + def call_model(state: AgentState): + messages = state["messages"] + response = oci_openai_client.invoke(messages) + return {"messages": messages + [response]} + + workflow = StateGraph(AgentState) + workflow.add_node("llm_node", call_model) + workflow.add_edge(START, "llm_node") + workflow.add_edge("llm_node", END) + + # ---- Act ---- + app = workflow.compile() + input_message = HumanMessage(content="What is the capital of France?") + result = app.invoke({"messages": [input_message]}) + + # ---- Assert ---- + content = result["messages"][1].content[0] + assert content["type"] == "text" + assert content["text"] == "Paris is the capital of France" + _assert_common(httpx_mock=httpx_mock)