AgentOps API
Python SDK and hosted platform for observing AI agent sessions — tracking LLM calls, tool invocations, token costs, latency, and errors across multi-agent workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
API key via environment variable is the expected pattern — well-documented. No scope granularity; a single key has full project access. TLS enforced on all endpoints. No SOC2 or compliance certifications publicly advertised.
⚡ Reliability
Best When
A Python-based agent needs lightweight, drop-in observability with minimal setup — especially when already using CrewAI, AutoGen, or LangChain.
Avoid When
You need self-hosted data storage, non-Python runtimes, or enterprise-grade on-premise deployment.
Use Cases
- • Instrumenting Python AI agents to capture full session traces including LLM calls and tool use
- • Tracking per-session and per-run LLM costs across OpenAI, Anthropic, and other providers
- • Debugging multi-agent workflows by replaying recorded sessions with full event timelines
- • Monitoring agent error rates and latency degradation in production
- • Comparing agent versions by comparing session metrics across deployments
Not For
- • Non-Python agent frameworks (SDK is Python-first; limited support for other runtimes)
- • Infrastructure-level monitoring (server metrics, database performance) — use Datadog/Grafana for that
- • Teams needing self-hosted observability with no external data egress
- • Real-time alerting workflows requiring sub-minute notification SLAs
Interface
Authentication
Single API key set via AGENTOPS_API_KEY environment variable or passed to agentops.init(). No scopes — key grants full access to the project.
Pricing
Free tier is generous for development and small-scale production. The $20/month unlimited plan is a fixed cost, which is predictable for agents with variable event volumes.
Agent Metadata
Known Gotchas
- ⚠ SDK must be initialized before any LLM calls are made — late initialization misses early events
- ⚠ Auto-instrumentation patches LLM client libraries at import time; import order matters
- ⚠ Sessions must be explicitly ended — orphaned sessions accumulate if agents crash without cleanup
- ⚠ No built-in retry or buffering for event ingestion — network blips can cause event loss
- ⚠ Free tier event count is per calendar month with hard cutoff — plan for month-end budget resets
Alternatives
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Scores are editorial opinions as of 2026-03-07.