Traceloop logo

Traceloop

Free tier

LLM reliability platform that turns evals and monitors into a continuous feedback loop

Free tier available·Technical·Powered by Agnostic — supports OpenAI, Anthropic, Gemini, Bedrock, Ollama, and 20+ providers·API available·Open source

Key strengths

One-line-of-code LLM observability via OpenTelemetry/OpenLLMetryBuilt-in and custom LLM evaluations (faithfulness, relevance, safety)CI/CD integration for automated quality checksSelf-hostable including air-gapped environmentsSOC 2 & HIPAA compliantOpen-source SDK (Apache 2.0)Supports 20+ LLM providers, vector DBs, and AI frameworks
Free tier + paid plans
Founded 2023
Self-hostable

Facts verified against traceloop.com on

Recent changes

  • Plans updated: Free tier: $0/mo, up to 50K spans/month, up to 5 seats, 24-hour data retention. Enterprise: custom pricing (contact sales), >50K spans/month, unlimited seats, custom data retention, SOC 2, on-prem option. Available on AWS, GCP, and Azure Marketplaces.
  • Models updated: Agnostic — supports OpenAI, Anthropic, Gemini, Bedrock, Ollama, and 20+ providers
What's changed across AI tools →

Get alerts when Traceloop changes

Free. We'll email you when pricing, the free tier, API access or open-source status changes.

No ratings yet

Traceloop — Technical Overview

Traceloop is an open-source (Apache 2.0) LLM observability and evaluation platform built on OpenTelemetry and its LLM-specific extension, OpenLLMetry. It instruments LLM applications with a single line of code, automatically capturing traces, spans, and metadata across 20+ model providers and AI frameworks.

Key technical characteristics:

  • Instrumentation: Drop-in OpenTelemetry-compatible SDK; one-line initialization generates distributed traces across your entire LLM pipeline — prompts, completions, retrieval steps, and tool calls.
  • Model & framework agnostic: Native integrations with OpenAI, Anthropic, Gemini, Amazon Bedrock, Ollama, LangChain, LlamaIndex, CrewAI, Pinecone, Chroma, and 20+ additional providers.
  • Evaluation engine: Built-in and custom LLM evaluations covering faithfulness, relevance, and safety; evaluations can be triggered in CI/CD pipelines for automated quality gates.
  • Deployment flexibility: Fully self-hostable, including air-gapped environments; available on AWS, GCP, and Azure Marketplaces.
  • Compliance: SOC 2 and HIPAA compliant.
  • Open source: SDK published under Apache 2.0; ~7,500 GitHub stars.
  • Pricing: Free tier (up to 50K spans/month, 5 seats, 24-hour data retention); Enterprise tier with custom pricing, unlimited seats, and custom data retention.
Alternatives

Alternatives to Traceloop

See all alternatives
Browse all 15 ai observability tools