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[Release] v0.2.1 (#243) (#244)
(cherry picked from commit 80d306f) Co-authored-by: Yuge Zhang <[email protected]>
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docs/changelog.md

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# Changelog
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## Agent-lightning v0.2.1 (10/30/2025)
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Agent-lightning v0.2.1 is a stabilization release for v0.2.0. It introduces several bug fixes and new features, plus a number of unlisted CI improvements.
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### Bug fixes
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* Fix LiteLLM issues when restarting the proxy multiple times in the same process (#174 #206)
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* Fix LiteLLM model name selection when multiple servers use the same model (#197)
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* Fix store port conflict handling (#227)
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### New Features
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* Add trainer port option for client-server strategies (#198)
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### Documentation
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* Add tutorial for launching workers on separate machines (#213)
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* Add link to VERL framework (#210)
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* Add link to vLLM blog (#215)
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* Fix a couple of typos and avoid emacs backup files (#237)
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### New Contributors
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A warm welcome to our first-time contributors: @scott-vsi, @ddsfda99, @jeis4wpi 🎉
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**Full Changelog**: https://github.com/microsoft/agent-lightning/compare/v0.2.0...v0.2.1
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---
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## Agent-lightning v0.2.0 (10/22/2025)
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Agent-Lightning v0.2.0 introduces major framework improvements, new execution strategies, expanded documentation, and enhanced reliability across the agent training and deployment workflow. This release includes **78 pull requests** since v0.1.2.
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### Core Enhancements
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* **Lightning Store**: Added unified interface and implementation for Agent-lightning's core storage.
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* **Emitter**: Emitting any objects as spans to the store.
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* **Adapter** and **Tracer**: Adapting to OpenAI-like messages, and OpenTelemetry dummy tracer.
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* **LLM Proxy**: Added LLM Proxy as the first-class citizen in Agent-lightning.
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* **Agent Runner**: New version providing a more modular and robust runner design.
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* **Embedded Algorithms**: Algorithms are now embedded directly into trainers for simplicity.
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* **New Execution Strategies**: Introduced *Client-Server* and *Shared Memory* execution models.
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* **Trainer Updates**: Integrated v0.2 interfaces and FastAlgorithm validation.
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### Documentation & Examples
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* Revamped documentation with new guides for **agent creation**, **training**, **debugging**, and **store concepts**.
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* Improved quickstart tutorials, clarified installation and new deep-dive articles.
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* Added and updated examples: *SQL Agent*, *Calc-X*, *Local SFT*, *Search-R1*, and *APO algorithm*.
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### Developer Experience
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* Migrated build and CI pipelines to **1ES**, split workflows and aggregate badges for clarity.
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* Adopted **uv** as the dependency manager.
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* Added GPU-based pytest workflows for full test coverage.
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* Enhanced debugging UX, pre-commit configs, and linting (Pyright fixes, import sorting).
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### Ecosystem & Integrations
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* Added support for agents built with [**Agent-framework**](https://github.com/microsoft/agent-framework).
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* Added new community listings: [*DeepWerewolf*](https://github.com/af-74413592/DeepWerewolf) and [*AgentFlow*](https://agentflow.stanford.edu/).
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### New Contributors
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A warm welcome to our first-time contributors:
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@hzy46, @lunaqiu, @syeehyn, @linhx1999, @SiyunZhao, and @acured 🎉
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**Full changelog:** [v0.1.2 → v0.2.0](https://github.com/microsoft/agent-lightning/compare/v0.1.2...v0.2.0)
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---
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## Agent-lightning v0.1.2 (08/12/2025)
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### What's Changed
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* Add basic documentation in https://github.com/microsoft/agent-lightning/pull/33
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* RAG example by @wizardlancet in https://github.com/microsoft/agent-lightning/pull/21
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### New Contributors
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* @wizardlancet made their first contribution in https://github.com/microsoft/agent-lightning/pull/21
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**Full Changelog**: https://github.com/microsoft/agent-lightning/compare/v0.1.1...v0.1.2
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---
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## Agent-lightning v0.1.1 (08/06/2025)
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### What's Changed
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* Disable HTTP tracer tests and bump to 0.1.1 in https://github.com/microsoft/agent-lightning/pull/26
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* Fix trainer bugs in v0.1 in https://github.com/microsoft/agent-lightning/pull/24
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**Full Changelog**: https://github.com/microsoft/agent-lightning/compare/v0.1...v0.1.1
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---
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## Agent-lightning v0.1.0 (08/04/2025)
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The first release of Agent-lightning!
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- Turn your agent into an optimizable beast with **ZERO CODE CHANGE** (almost)! 💤
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- Build with **ANY** agent framework (LangChain, OpenAI Agent SDK, AutoGen, CrewAI, ...); or even WITHOUT agent framework (Python OpenAI). You name it! 🤖
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- **Selectively** optimize one or more agents in a multi-agent system. 🎯
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- Embraces Reinforcement Learning, Automatic Prompt Optimization and more **algorithms**. 🤗
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Install via `pip install agentlightning`.

mkdocs.yml

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- Trainer: reference/trainer.md
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- Types: reference/types.md
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- Internal: reference/internal.md
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- Miscellaneous:
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- Changelog: changelog.md
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- https://unpkg.com/katex@0/dist/katex.min.css

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