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372 changes: 372 additions & 0 deletions a2as.yaml
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manifest:
version: "0.1.2"
schema: https://a2as.org/cert/schema
subject:
name: dotmobo/notia
source: https://github.com/dotmobo/notia
branch: master
commit: "5ba760d3"
scope: [src/console.py, src/app.py, src/vector_store.py, src/tools.py, src/models.py, src/main.py, src/core.py, src/constants.py]
issued:
by: A2AS.org
at: '2026-01-26T16:16:02Z'
signatures:
digest: sha256:0q-_SyvNRJNkWxLFYw3WMnBhK9UaDwGh0mCTdwfN-LY
key: ed25519:Zyf496V4MWs2DjJ6Mjo9Eqq9uNGZcVyg_hFHCjX-0ZM
sig: ed25519:YBw5DrqOGdzD4PawKIG9sGt8X5peGW9W0_9gP4HBvjy9Prvqb2fNKW4UHjsxJOnKSMKSmb2gBqzvuXnc-6ruCQ

agents:
agent:
type: instance
models: [model]
tools: [tools]
params:
function: setup_agent_and_session
name: Notia
instructions: [SYSTEM_PROMPT]

models:
model:
type: variable
agents: [agent]

tools:
add_note:
type: decorator
params:
description: |-
Adds a new note with content and optional project.

Args:
content (str): The main content of the note.
project (str, optional): The project name for this note. Defaults to "".

Returns:
str: A confirmation message with the new note's ID.
analyze_all_notes:
type: decorator
params:
description: |-
Performs a content analysis on all notes using the high-performance Rust module.
This is an example of a CPU-bound task offloaded to Rust.

Returns:
str: The analysis result from the Rust module.
delete_note:
type: decorator
params:
description: |-
Deletes a note specified by its unique ID.

Args:
note_id (str): The exact ID of the note to be deleted.

Returns:
str: A confirmation message indicating the note has been deleted.
edit_note:
type: decorator
params:
description: |-
Overwrites an existing note with new content and project.

This function completely replaces the content and project of an existing note
identified by its ID. The timestamp is automatically updated to the current time.

Args:
note_id (str): The ID of the note to edit.
new_content (str): The new content to overwrite the note with.
new_project (str, optional): The new project name. Defaults to "".

Returns:
str: A confirmation message indicating the note has been updated.
export_notes_by_project_to_csv:
type: decorator
params:
description: |-
Exports all notes from a specific project to a CSV file in the dist/ folder.

Args:
project (str): The project name to export notes from.

Returns:
str: Confirmation message with the export file path.
extract_top_keywords:
type: decorator
params:
description: |-
Extracts the most frequent keywords from all notes using the Rust analysis module.

Args:
top_n (int): The number of top keywords to extract. Defaults to 10.

Returns:
str: A formatted string of the top keywords and their counts.
get_note_by_id:
type: decorator
params:
description: |-
Retrieves and displays a single note by its ID.

Args:
note_id (str): The exact ID of the note to retrieve.

Returns:
dict: The raw data of the note from the vector store.
import_notes_from_csv:
type: decorator
params:
description: |-
Imports notes from a CSV file into the system.

The CSV must have the columns: ID, Content, Project, Timestamp.
Existing notes are added to the vector store; if an ID is provided it will be used.
list_all_notes:
type: decorator
params:
description: |-
Lists all notes, displaying them to the user in a formatted table and returning the raw data.
The user has already seen the formatted table in the console.

Returns:
dict: The raw data of all notes from the vector store.
list_all_projects:
type: decorator
params:
description: |-
Lists all unique projects in the system.

Returns:
list[str]: List of all unique project names.
search_notes:
type: decorator
params:
description: |-
Searches for notes, displays them to the user in a formatted table, and returns the raw data.
The user has already seen the formatted table in the console.

Args:
query (str): The search query for finding semantically similar notes.
initial_n_results (int, optional): The number of results to retrieve from the vector store before reranking. Defaults to 20.
final_n_results (int, optional): The number of top results to return after reranking. Defaults to 5.

Returns:
dict: The raw search result data from the vector store.
search_notes_by_project:
type: decorator
params:
description: |-
Searches for notes by project and displays them to the user.

Args:
project (str): The project name to search for.

Returns:
dict: The raw search result data from the vector store.
tools:
type: variable
agents: [agent]
params:
dynamic: "True"

imports:
Agent: agents.Agent
analyze_notes_content: notia_analyzer.analyze_notes_content
asyncio: asyncio
AsyncOpenAI: agents.AsyncOpenAI
chromadb: chromadb
Console: rich.console.Console
console: console.console
csv: csv
datetime: datetime
dedent: textwrap.dedent
embedding_functions: chromadb.utils.embedding_functions
extract_keywords: notia_analyzer.extract_keywords
function_tool: agents.function_tool
HTML: prompt_toolkit.formatted_text.HTML
httpx: httpx
json: json
load_and_check_env_vars: core.load_and_check_env_vars
load_dotenv: dotenv.load_dotenv
logging: logging
Note: models.Note
OpenAIChatCompletionsModel: agents.OpenAIChatCompletionsModel
Optional: typing.Optional
os: os
PromptSession: prompt_toolkit.PromptSession
run_query: core.run_query
Runner: agents.Runner
set_tracing_disabled: agents.set_tracing_disabled
setup_agent_and_session: core.setup_agent_and_session
SQLiteSession: agents.SQLiteSession
st: streamlit
SYSTEM_PROMPT: constants.SYSTEM_PROMPT
Table: rich.table.Table
tools: tools.tools
uuid: uuid
vs: vector_store.vs

functions:
__init__:
type: sync
module: src.models
args: [self, content, project, timestamp, id]
add_note:
type: tool
module: src.tools
args: [content, project]
params:
returns: str
analyze_all_notes:
type: tool
module: src.tools
params:
returns: str
cli:
type: sync
module: src.main
delete_note:
type: tool
module: src.tools
args: [note_id]
params:
returns: str
edit_note:
type: tool
module: src.tools
args: [note_id, new_content, new_project]
params:
returns: str
export_notes_by_project_to_csv:
type: tool
module: src.tools
args: [project]
params:
returns: str
extract_top_keywords:
type: tool
module: src.tools
args: [top_n]
params:
returns: str
get_all_notes:
type: sync
module: src.vector_store
args: [self]
params:
returns: chromadb.QueryResult
get_all_projects:
type: sync
module: src.vector_store
args: [self]
params:
returns: list[str]
get_note:
type: sync
module: src.vector_store
args: [self, id]
params:
returns: chromadb.GetResult
get_note_by_id:
type: tool
module: src.tools
args: [note_id]
params:
returns: dict
get_notes_by_project:
type: sync
module: src.vector_store
args: [self, project]
params:
returns: dict
import_notes_from_csv:
type: tool
module: src.tools
args: [filepath]
params:
returns: str
list_all_notes:
type: tool
module: src.tools
params:
returns: dict
list_all_projects:
type: tool
module: src.tools
params:
returns: list[str]
load_and_check_env_vars:
type: sync
module: src.core
main:
type: async
module: src.main
process_query:
type: async
module: src.main
args: [agent, session, query]
rerank_documents:
type: async
module: src.vector_store
args: [self, query, documents]
params:
returns: list[dict]
run_query:
type: async
module: src.core
args: [agent, session, query]
params:
returns: str
search_notes:
type: tool
module: src.tools
args: [query, initial_n_results, final_n_results]
params:
returns: dict
search_notes_by_project:
type: tool
module: src.tools
args: [project]
params:
returns: dict
setup_agent_and_session:
type: sync
module: src.core
update_note:
type: sync
module: src.vector_store
args: [self, note]

variables:
OPENAI_API_BASE:
type: env
params:
caller: [os.getenv]
path: [src.vector_store, src.core]
OPENAI_API_KEY:
type: env
params:
caller: [os.getenv, AsyncOpenAI]
path: [src.vector_store, src.core]
OPENAI_API_MODEL:
type: env
params:
caller: [os.getenv]
path: [src.core]
OPENAI_EMBEDDING_MODEL:
type: env
params:
caller: [os.getenv]
path: [src.vector_store]
OPENAI_RERANK_MODEL:
type: env
params:
caller: [os.getenv]
path: [src.vector_store]

files:
filepath:
type: variable
actions: [read, write]
params:
caller: [open, csv.writer, os.path.isfile, csv.DictReader]
alias: [csvfile]