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docs: update CHANGELOG.md for v0.3.3 
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Changelog

v0.3.3

Published on: 2025-11-24T21:21:57Z

v0.3.2

Published on: 2025-11-12T23:22:16Z

v0.3.1

Published on: 2025-10-31T23:05:50Z

v0.3.0

Published on: 2025-10-22T19:21:54Z

Highlights

  • Stable OpenAI-Compatible APIs
  • Llama Stack now separates APIs into stable (/v1/), experimental (/v1alpha/ and /v1beta/) and deprecated (deprecated = True.)
  • extra_body/metadata support for APIs which support extra functionality compared to the OpenAI implementation
  • Documentation overhaul: Migration to Docusaurus, modern formatting, and improved API docs

v0.2.23

Published on: 2025-09-26T21:41:23Z

Highlights

  • Overhauls documentation with Docusaurus migration and modern formatting.
  • Standardizes Ollama and Fireworks provider with OpenAI compatibility layer.
  • Combines dynamic model discovery with static embedding metadata for better model information.
  • Refactors server.main for better code organization.
  • Introduces API leveling with post_training and eval promoted to v1alpha.

v0.2.22

Published on: 2025-09-16T20:15:26Z

Highlights

  • Migrated to unified "setups" system for test config
  • Added default inference store automatically during llama stack build
  • Introduced write queue for inference store
  • Proposed API leveling framework
  • Enhanced Together provider with embedding and dynamic model support

v0.2.21

Published on: 2025-09-08T22:30:47Z

Highlights

  • Testing infrastructure improvements and fixes
  • Backwards compatibility tests for core APIs
  • Added OpenAI Prompts API
  • Updated RAG Tool to use Files API and Vector Stores API
  • Descriptive MCP server connection errors

v0.2.20

Published on: 2025-08-29T22:25:32Z

Here are some key changes that are coming as part of this release.

Build and Environment

  • Environment improvements: fixed env var replacement to preserve types.
  • Docker stability: fixed container startup failures for Fireworks AI provider.
  • Removed absolute paths in build for better portability.

Features

  • UI Enhancements: Implemented file upload and VectorDB creation/configuration directly in UI.
  • Vector Store Improvements: Added keyword, vector, and hybrid search inside vector store.
  • Added S3 authorization support for file providers.
  • SQL Store: Added inequality support to where clause.

Documentation

  • Fixed post-training docs.
  • Added Contributor Guidelines for creating Internal vs. External providers.

Fixes

  • Removed unsupported bfcl scoring function.
  • Multiple reliability and configuration fixes for providers and environment handling.

Engineering / Chores

  • Cleaner internal development setup with consistent paths.
  • Incremental improvements to provider integration and vector store behavior.

New Contributors

  • @omertuc made their first contribution in #3270
  • @r3v5 made their first contribution in vector store hybrid search

v0.2.19

Published on: 2025-08-26T22:06:55Z

Highlights

v0.2.18

Published on: 2025-08-20T01:09:27Z

Highlights

  • Add moderations create API
  • Hybrid search in Milvus
  • Numerous Responses API improvements
  • Documentation updates

v0.2.17

Published on: 2025-08-05T01:51:14Z

Highlights

v0.2.16

Published on: 2025-07-28T23:35:23Z

Highlights

  • Automatic model registration for self-hosted providers (ollama and vllm currently). No need for INFERENCE_MODEL environment variables which need to be updated, etc.
  • Much simplified starter distribution. Most ENABLE_ env variables are now gone. When you set VLLM_URL, the vllm provider is auto-enabled. Similar for MILVUS_URL, PGVECTOR_DB, etc. Check the run.yaml for more details.
  • All tests migrated to pytest now (thanks @Elbehery)
  • DPO implementation in the post-training provider (thanks @Nehanth)
  • (Huge!) Support for external APIs and providers thereof (thanks @leseb, @cdoern and others). This is a really big deal -- you can now add more APIs completely out of tree and experiment with them before (optionally) wanting to contribute back.
  • inline::vllm provider is gone thank you very much
  • several improvements to OpenAI inference implementations and LiteLLM backend (thanks @mattf)
  • Chroma now supports Vector Store API (thanks @franciscojavierarceo).
  • Authorization improvements: Vector Store/File APIs now supports access control (thanks @franciscojavierarceo); Telemetry read APIs are gated according to logged-in user's roles.

v0.2.15

Published on: 2025-07-16T03:30:01Z

v0.2.14

Published on: 2025-07-04T16:06:48Z

Highlights

  • Support for Llama Guard 4
  • Added Milvus support to vector-stores API
  • Documentation and zero-to-hero updates for latest APIs

v0.2.13

Published on: 2025-06-28T04:28:11Z

Highlights

  • search_mode support in OpenAI vector store API
  • Security fixes

v0.2.12

Published on: 2025-06-20T22:52:12Z

Highlights

  • Filter support in file search
  • Support auth attributes in inference and response stores

v0.2.11

Published on: 2025-06-17T20:26:26Z

Highlights

  • OpenAI-compatible vector store APIs
  • Hybrid Search in Sqlite-vec
  • File search tool in Responses API
  • Pagination in inference and response stores
  • Added suffix to completions API for fill-in-the-middle tasks

v0.2.10.1

Published on: 2025-06-06T20:11:02Z

Highlights

  • ChromaDB provider fix

v0.2.10

Published on: 2025-06-05T23:21:45Z

Highlights

  • OpenAI-compatible embeddings API
  • OpenAI-compatible Files API
  • Postgres support in starter distro
  • Enable ingestion of precomputed embeddings
  • Full multi-turn support in Responses API
  • Fine-grained access control policy

v0.2.9

Published on: 2025-05-30T20:01:56Z

Highlights

  • Added initial streaming support in Responses API
  • UI view for Responses
  • Postgres inference store support

v0.2.8

Published on: 2025-05-27T21:03:47Z

Release v0.2.8

Highlights

  • Server-side MCP with auth firewalls now works in the Stack - both for Agents and Responses
  • Get chat completions APIs and UI to show chat completions
  • Enable keyword search for sqlite-vec

v0.2.7

Published on: 2025-05-16T20:38:10Z

Highlights

This is a small update. But a couple highlights:

v0.2.6

Published on: 2025-05-12T18:06:52Z

v0.2.5

Published on: 2025-05-04T20:16:49Z

v0.2.4

Published on: 2025-04-29T17:26:01Z

Highlights

v0.2.3

Published on: 2025-04-25T22:46:21Z

Highlights

  • OpenAI compatible inference endpoints and client-SDK support. client.chat.completions.create() now works.
  • significant improvements and functionality added to the nVIDIA distribution
  • many improvements to the test verification suite.
  • new inference providers: Ramalama, IBM WatsonX
  • many improvements to the Playground UI

v0.2.2

Published on: 2025-04-13T01:19:49Z

Main changes

  • Bring Your Own Provider (@leseb) - use out-of-tree provider code to execute the distribution server
  • OpenAI compatible inference API in progress (@bbrowning)
  • Provider verifications (@ehhuang)
  • Many updates and fixes to playground
  • Several llama4 related fixes

v0.2.1

Published on: 2025-04-05T23:13:00Z

v0.2.0

Published on: 2025-04-05T19:04:29Z

Llama 4 Support

Checkout more at https://www.llama.com

v0.1.9

Published on: 2025-03-29T00:52:23Z

Build and Test Agents

  • Agents: Entire document context with attachments
  • RAG: Documentation with sqlite-vec faiss comparison
  • Getting started: Fixes to getting started notebook.

Agent Evals and Model Customization

  • (New) Post-training: Add nemo customizer

Better Engineering

  • Moved sqlite-vec to non-blocking calls
  • Don't return a payload on file delete