Example files like openai.py shadow installed packages when Python adds the
script directory to sys.path. Prepend the parent folder name to each example
file (e.g. openai.py -> function-calling-openai.py). Also split
thinking-and-mcp/ into separate mcp/ and thinking/ directories.
Move 304 examples from a flat numbered directory into 14 descriptive
subfolders: getting-started, services (speech + function-calling),
transcription, vision, realtime, persistent-context,
context-summarization, update-settings (stt/tts/llm), turn-management,
thinking-and-mcp, transports, video-avatar, video-processing, and
features.
Strip numbered prefixes from filenames (e.g. 07c-interruptible-deepgram.py
becomes services/speech/deepgram.py) since the folder context makes them
redundant. Keep numbered prefixes only in getting-started/ where ordering
matters.
Update eval script paths and README to match the new structure.
Adds an OpenAI-compatible LLM service for Nebius Token Factory, supporting
open-source models (Meta Llama, Qwen, DeepSeek) via their OpenAI-compatible
REST API at https://api.tokenfactory.nebius.com/v1/.
Brings back the 6 development workflow skills (changelog, cleanup,
code-review, docstring, pr-description, pr-submit) that were moved
to pipecat-ai/skills, and adds a .claude-plugin/marketplace.json so
other pipecat-ai repos can install them. Updates README contributing
section with installation instructions.
Remove bundled Claude Code skills (changelog, cleanup, code-review,
docstring, pr-description, pr-submit) that now live in
https://github.com/pipecat-ai/skills. Add a section to the README
with installation instructions. The update-docs skill remains as
it is specific to this repository.
Adds support for using Ultravox Realtime as a speech-to-speech service.
Also removes the deprecated Ultravox speech-to-text vllm model integration to avoid confusion.
