langchain-taiga 1.1.1

Python toolkit that lets your LangChain agents automate Taiga: create, search, edit & comment on user stories, tasks and issues via the official REST API.

langchain-taiga

This package provides Taiga tools and a toolkit for use with LangChain. It includes:

• create_entity_tool: Creates user stories, tasks and issues in Taiga.
• search_entities_tool: Searches for user stories, tasks and issues in Taiga.
• get_entity_by_ref_tool: Gets a user story, task or issue by reference.
• update_entity_by_ref_tool: Updates a user story, task or issue by reference.
• add_comment_by_ref_tool: Adds a comment to a user story, task or issue.
• add_attachment_by_ref_tool: Adds an attachment to a user story, task or issue.

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Installation

pip install -U langchain-taiga

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Environment Variable

Export your taiga logins:

export TAIGA_URL="https://taiga.xyz.org/"
export TAIGA_API_URL="https://taiga.xyz.org/"
export TAIGA_USERNAME="username"
export TAIGA_PASSWORD="pw"
export OPENAI_API_KEY="OPENAI_API_KEY"

If this environment variable is not set, the tools will raise a ValueError when instantiated.

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Usage

Direct Tool Usage

from langchain_taiga.tools.taiga_tools import create_entity_tool, search_entities_tool, get_entity_by_ref_tool, update_entity_by_ref_tool, add_comment_by_ref_tool, add_attachment_by_ref_tool

response = create_entity_tool({"project_slug": "slug",
                       "entity_type": "us",
                       "subject": "subject",
                       "status": "new",
                       "description": "desc",
                       "parent_ref": 5,
                       "assign_to": "user",
                       "due_date": "2022-01-01",
                       "tags": ["tag1", "tag2"]})

response = search_entities_tool({"project_slug": "slug", "query": "query", "entity_type": "task"})

response = get_entity_by_ref_tool({"entity_type": "user_story", "project_id": 1, "ref": "1"})

response = update_entity_by_ref_tool({"project_slug": "slug", "entity_ref": 555, "entity_type": "us"})

response = add_comment_by_ref_tool({"project_slug": "slug", "entity_ref": 3, "entity_type": "us",
                "comment": "new"})

response = add_attachment_by_ref_tool({"project_slug": "slug", "entity_ref": 3, "entity_type": "us",
                "attachment_url": "url", "content_type": "png", "description": "desc"})

Using the Toolkit

You can also use TaigaToolkit to automatically gather both tools:

from langchain_taiga.toolkits import TaigaToolkit

toolkit = TaigaToolkit()
tools = toolkit.get_tools()

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Tests

If you have a tests folder (e.g. tests/unit_tests/), you can run them (assuming Pytest) with:

pytest --maxfail=1 --disable-warnings -q

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License

MIT License

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Further Documentation

• For more details, see the docstrings in:

  • taiga_tools.py
  • toolkits.py for TaigaToolkit

• Official Taiga Developer Docs: https://docs.taiga.io/api.html

• LangChain GitHub for general LangChain usage and tooling.