One import for Stratos AI: OpenLLMetry agent telemetry + heartbeat with auto-detected framework/model/tools (Python).
Project description
intelli-1113-stratos-sdk (Python)
One import for Stratos AI: OpenLLMetry agent
telemetry (tokens, cost, prompts, tools) + a heartbeat that auto-reports framework / model /
tools — the Python twin of @intelli-1113/stratos-sdk (Node).
Install
pip install intelli-1113-stratos-sdk
Configure (environment)
STRATOS_TOKEN=<token from Stratos → Add agent> # required
STRATOS_URL=https://stratos.lnt.com # optional, default http://localhost:4000
STRATOS_APP_NAME=my-agent # optional display name
STRATOS_MODEL=gpt-4o # optional (else detected from spans/env)
STRATOS_TOOLS=search,lookup # optional comma list
Use — pick one
import stratos_sdk.register # FIRST import in your entrypoint (before openai/langchain/…)
from stratos_sdk import start # or call explicitly
start() # or start(token=..., url=..., app_name=..., tools=[...])
What it does
- Initialises OpenLLMetry and exports spans as OTLP-JSON to
/api/ingest(custom exporter). - Heartbeat keeps the agent online and auto-fills framework (detected from your project
deps / installed packages: google-adk, openai-agents, llamaindex, crewai, langgraph, langchain,
anthropic, openai…), model (env), and tools (
STRATOS_TOOLSor captured from spans). - URL/token come from env — change and restart, no code edit.
If
traceloop-sdkisn't installed, the SDK still sends the heartbeat + metadata (agent shows online with framework/model), just without per-call spans.
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