agent-lightninglisted

# Agent Lightning Microsoft's framework for training AI agents with reinforcement learning, automatic prompt optimization, and supervised fine-tuning. ## Quick Start ### Installation ```bash pip install agentlightning ``` For nightly builds: ```bash pip install --upgrade --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ --pre agentlightning ``` ### Minimal Integration (Zero Code Change) Add `agl.emit_xxx()` helpers to your existing agent: ```python import agentlightning as agl # Your existing agent code def my_agent(task): agl.emit_input(task) # Track input response = llm.generate(task) agl.emit_output(response) # Track output reward = evaluate(response) agl.emit_reward(reward) # Track reward return response ``` ## Core Concepts ### Architecture Flow ``` Agent (your code) → agl.emit_xxx() → Spans → LightningStore → Algorithm → Updated Resources ``` ### Key Components | Component | Purpose | |-----------|---------| | `LightningStore` | Central hub for traces, tasks, and resources | | `Tracer` | Collects spans from agent execution | | `Algorithm` | Consumes traces, produces improvements | | `Trainer` | Orchestrates training loop | ## Instrumentation ### Emit Functions ```python import agentlightning as agl # Basic emissions agl.emit_input(prompt) # Track input to agent agl.emit_output(response) # Track agent output agl.emit_reward(score) # Track reward signa