Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
OpenLIT
OpenLIT excels as an open-source OpenTelemetry observability platform for LLM apps with strong integrations but lacks agent execution capabilities and dedicated API tooling.
Use with care — notable gaps remain
You need production observability for your LLM apps without manually wrapping every OpenAI, LangChain, or vector DB call in tracing code.
Zero-code tracing works flawlessly for supported libs (OpenAI, LangChain, Chroma); rich spans with token costs/latency; GPU metrics reliable but requires openlit[gpu]; no agent execution support.
You're building cost-optimized LLM apps and need real-time token usage, custom model pricing, and performance breakdowns across your stack.
Accurate cost tracking even for fine-tuned models; full end-to-end traces (HTTP → LLM → tools); privacy mode hides prompts but keeps metrics; minor quirks with unsupported libs.
No Agent Execution or API Tooling
Lacks built-in agent running capabilities and dedicated APIs—purely an observability SDK that sends OTLP data to your backend. Requires separate agent frameworks.
Backend Dependency
OpenLIT generates OTLP telemetry but needs your own observability backend (Grafana, Datadog, etc.) for visualization—nothing ships built-in. Test OTLP endpoint connectivity early.
Trust Breakdown
What It Actually Does
OpenLIT automatically tracks and monitors your AI apps' performance, like how long large language model calls take, their costs, errors, and tool usage. You add one line of code to send this data to dashboards for easy viewing and debugging.[1][2][3]
OpenLIT excels as an open-source OpenTelemetry observability platform for LLM apps with strong integrations but lacks agent execution capabilities and dedicated API tooling.
Fit Assessment
Best for
- ✓llm-observability
- ✓cost-tracking
- ✓tracing
- ✓gpu-monitoring
- ✓prompt-management
Connection Patterns
Blueprints that include this tool:
Score Breakdown
Protocol Support
Capabilities
Governance
- prompt-injection-detection
- pii-masking