Observability for AI and LLM apps on OpenTelemetry: traces model and tool calls with tokens, cost, latency and errors; send OTLP over HTTP or use the TypeScript SDKs.
Pricing and hosting
- Pricing
- Free plan
- Free plan
- 30k ingestion units/mo, 14-day retention
- Open source
- No
- Self-hosted
- No
- Launched
- 2026
- Status
- Active
- Website
- telemetry.dev
Plans and prices change; check the tool's own site before you decide.
What it does
LLM and AI observability checklist
4 of 10 confirmed in telemetry.dev's own documentation. The same checklist is used for every tool in LLM observability.
- LLM call tracing Yes
- Agent and multi-step traces Yes
- Token and cost tracking Yes
- Prompt management Not confirmed
- Evaluations Not confirmed
- Datasets and experiments Not confirmed
- User feedback Not confirmed
- OpenTelemetry support Yes
- Playground Not confirmed
- Alerts Not confirmed
Hosted OTel-based trace/cost observability; no prompt, eval, dataset or alert features described.
Checked against: telemetry.dev
Alternatives to telemetry.dev
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Confident AI Evaluation and observability platform from the makers of the open source DeepEval library: LLM tracing, regression tests in CI, and red teaming. -
Future AGI Open source platform to trace, evaluate, simulate and guard LLM and agent apps, including an AI gateway. -
Galileo AI evaluation and observability platform with tracing, evaluation metrics and real-time guardrails for agents; hosted, VPC or on-prem. -
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Laminar Open source observability for AI agents: OpenTelemetry-based tracing, evaluations and analysis of agent runs, self-hostable or cloud. -
Langfuse Open source LLM engineering platform: traces LLM and agent calls, manages prompts, runs evaluations and tracks cost and latency. Self-host or use the cloud; acquired by ClickHouse in 2026. -
LangSmith LangChain's platform for tracing, evaluating and monitoring LLM apps and agents, usable with or without LangChain; also hosts agent deployments.