Local-first observability SDK for AI agents
Project description
beacon-agent
Local-first observability SDK for AI agents.
Instrument your agent with one decorator and get a live dashboard with traces, costs, and alerts — all running locally.
Install
pip install beacon-trace
Usage
from beacon import trace
@trace(agent_id="my-agent", api_url="http://localhost:8000")
def run_agent(prompt: str) -> str:
# your agent logic
return result
Full control:
from beacon import BeaconTracer
tracer = BeaconTracer(agent_id="my-agent", api_url="http://localhost:8000")
tracer.start_trace(metadata={"user_id": "123"})
tracer.log_step(
step_type="llm_call",
model="gpt-4",
input_tokens=1200,
output_tokens=400,
cost_usd=0.012,
latency_ms=1200
)
tracer.end_trace(status="success")
Dashboard
Start the Beacon server to see your traces:
curl -fsSL https://raw.githubusercontent.com/pisigmac/beacon-trace/main/install.sh | bash
beacon start
Then open http://localhost:3000.
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