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v0.1.6

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@raghotham raghotham released this 08 Mar 04:35

0.1.6 Release Notes

Build and Test Agents

  • Inference: Fixed support for inline vllm provider
  • (New) Agent: Build & Monitor Agent Workflows with Llama Stack + Anthropic's Best Practice Notebook
  • (New) Agent: Revamped agent documentation with more details and examples
  • Agent: Unify tools and Python SDK Agents API
  • Agent: AsyncAgent Python SDK wrapper supporting async client tool calls
  • Agent: Support python functions without @client_tool decorator as client tools
  • Agent: deprecation for allow_resume_turn flag, and remove need to specify tool_prompt_format
  • VectorIO: MilvusDB support added

Agent Evals and Model Customization

  • (New) Agent: Llama Stack RAG Lifecycle Notebook
  • Eval: Documentation for eval, scoring, adding new benchmarks
  • Eval: Distribution template to run benchmarks on llama & non-llama models
  • Eval: Ability to register new custom LLM-as-judge scoring functions
  • (New) Looking for contributors for open benchmarks. See documentation for details.

Deploy and Monitoring of Agents

  • Better support for different log levels across all components for better monitoring

Better Engineering

  • Enhance OpenAPI spec to include Error types across all APIs
  • Moved all tests to /tests and created unit tests to run on each PR
  • Removed all dependencies on llama-models repo

What's Changed

New Contributors

Full Changelog: v0.1.5.1...v0.1.6