TraceAgent
Local-first observability for AI agents. Open-source alternative to LangSmith. Trace LangChain, LangGraph, and any Python code with zero config.
Install
pip install traceagent
Quick Start
Option 1: Environment Variables (zero code changes, like LangSmith)
export TraceAgent_ENABLED=true
export TraceAgent_ENDPOINT=http://localhost:6832 # your TraceAgent server
import traceagent # auto-traces all LangChain/LangGraph calls
result = graph.invoke({"messages": [HumanMessage(content="Hello!")]})
# traces appear at http://localhost:6832
Option 2: Explicit Callback
from traceagent import TraceAgent
lens = TraceAgent(server_url="http://localhost:6832")
result = graph.invoke(
{"messages": [HumanMessage(content="Hello!")]},
config={"callbacks": [lens.callback()]}
)
Option 3: Decorators & Context Managers
from traceagent import TraceAgent
lens = TraceAgent()
@lens.observe(name="search", kind="tool")
def search(query: str):
return results
with lens.trace("My Pipeline") as t:
result = search("hello")
t.outputs = {"result": result}
Configuration
| Env Variable | Description | Default |
|---|---|---|
TraceAgent_ENABLED |
Enable tracing | false |
TraceAgent_ENDPOINT |
Server URL | http://localhost:6832 |
TraceAgent_PROJECT |
Project name | default |
TraceAgent_TAGS |
Comma-separated tags | |
TraceAgent_AUTO_TRACE |
Auto-attach to LangChain | true when enabled |
Server
The SDK sends traces to a TraceAgent server. Run it with Docker:
docker run -d -p 6832:6832 ashishgituser/TraceAgent-server:latest
Then open http://localhost:6832 for the dashboard.
See the full project at github.com/ashishgituser/TraceAgent.
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