Monitor your AI agents. Heartbeat watchdog, loop detection, cost tracking.
Project description
ClevAgent SDK
Monitor your AI agents in 2 lines of code.
Document role:
- package-level usage guide for the Python SDK
- focuses on installation and client-side integration
- broader product policy and accepted cross-system contracts belong in the repo root docs
import clevagent
clevagent.init(api_key=os.environ["CLEVAGENT_API_KEY"], agent="my-agent")
That's it. ClevAgent sends heartbeats every 60 seconds. If your agent goes silent, you get an alert.
Install
pip install clevagent
Features
- Heartbeat watchdog — detect dead agents automatically
- Loop detection — catch runaway tool-call loops
- Cost tracking — auto-capture for OpenAI/Anthropic SDKs; manual
log_cost()for others - Auto-restart — restart Docker containers when agents die (requires
container_id) - Crash capture — send last error as an emergency heartbeat on unhandled exceptions
Quick Start
import os
import clevagent
clevagent.init(
api_key=os.environ["CLEVAGENT_API_KEY"],
agent="my-trading-bot", # agent name (auto-created on first ping)
interval=60, # heartbeat interval in seconds
auto_cost=True, # auto-capture OpenAI/Anthropic usage
)
# --- your agent code runs here ---
# Optional: manual ping with context
clevagent.ping(
status="ok",
message="Processed 42 signals",
iteration_count=42,
)
# Optional: manual cost logging (for other SDKs)
clevagent.log_cost(tokens=1500, cost_usd=0.0023)
Cost Tracking
| Method | SDKs |
|---|---|
| Auto ✅ | OpenAI (gpt-4o, gpt-4o-mini, etc.), Anthropic (claude-3, claude-4) |
| Manual 📝 | Any other SDK — use clevagent.log_cost(tokens=N, cost_usd=X) |
| Not supported ❌ | Streaming responses (use manual for those) |
Auto-Restart
Auto-restart requires Docker and a container_id configured in the ClevAgent dashboard. For non-Docker deployments (systemd, launchd, process), use clevagent-runner for auto-restart support. See https://clevagent.io/docs#runner
Links
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