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Typeagent Change Log

2025

0.3.3 (Nov 25)

General cleanup and fixes, and the following notable improvements:

Docs

Document AZURE_OPENAI_ENDPOINT_EMBEDDING (Gwyneth Peña-Siguenza).
Add link to PyBay 2025 talk video.

Core typeagent package

Simplify load_dotenv().
Split embedding requests that are too large (Raphael Wirth).
Overhaul conversation metadata in storage providers.
Add extra optional keyword parameters to create_conversation().
Add Quantifier to ingestion schema in addition to Quantity.
Extract knowledge concurrently (max 4 by default) (Kevin Turcios).
Fixes for get_multiple() implementations.
Tweak defaults in ConversationSettings.

MCP server

Pass LLM requests to MCP client instead of calling the OpenAI API.
Add --database option to MCP server.

Tools

The tools/query.py tool now supports @-commands. Try @help.
Add tools/ingest_podcast.py (a tool that ingests podcasts).

Testing

Fix coverage support for MCP server test.
Use an updated "Adrian Tchaikovsky" podcast data dump (Rob Gruen).
Fix Windows testing issues. Run CI on Windows too (Raphael Wirth).
Run tests in CI using secrets stored in repo (Rob Gruen).

Infrastructure

Migrate package build from setuptools to uv_build.
Add install-libatomic target to Makefile (Bernhard Merkle).

0.3.2 (Oct 22)

Brown bag release!

Put black back with the runtime dependencies (it's used for debug output).

0.3.1 (Oct 22)

Limit dependencies to what's needed at runtime; dev dependencies can be installed separately with uv sync --extra dev.
Add endpoint_envvar arg to AsyncEmbeddingModel to allow configuring a non-standard embedding service.

0.3.0 (Oct 17)

First public release, for PyBay '25 talk