agent-lightning
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microsoft
The absolute trainer to light up AI agents.
Do you support agentic RL? That is, autonomously deciding to call and combine tools based on available tools to complete tasks; I see that the examples using LangChain are all...
curl "http://localhost:44413/v1/chat/completions" \ -H "Content-Type: application/json" \ -d '{ "model": "meta-llama/Llama-3.2-1B", "messages": [ {"role": "user", "content": "what was my last input to you"} ] }' Got output in terminal {"object":"error","message":"As...
**error comes from this directory: examples/calc_x** Processing request of type ListToolsRequest Processing request of type ListToolsRequest Processing request of type ListToolsRequest Processing request of type ListToolsRequest 127.0.0.1 - - [14/Aug/2025...
An error happens when we execute: ```python import os from agentlightning import Trainer, DevTaskLoader, LLM from calc_agent import CalcAgent def dev_task_loader() -> DevTaskLoader: return DevTaskLoader( tasks=[ { "question": "What is...
when i try agent-lightning/examples/rag example python rag_agent.py Traceback (most recent call last): File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/workspace/verl/agent-lightning/agentlightning/trainer.py", line...
Thank you for your work. Do you provide a web UI to showcase the entire interaction process? For example, can I visualize chatting with different agents and generate a report,...
Calc server that orchestrates end-to-end runs for the Calc‑X example. It starts an AgentLightning server, loads the dataset (prefers examples/calc_x/data/*.parquet, falls back to data.jsonl or a small demo), spawns a...
How can I evaluate the model after the training is complete? Could you please provide some information on the corresponding metrics and evaluation methods? [36m(TaskRunner pid=32107)[0m ("Initial validation metrics: {'val/reward':...
Can you provide a agent example using naive python code without any frameworks like autogen / langchain? I think it is very important for customized need.
