Traceloop
Free tierLLM reliability platform that turns evals and monitors into a continuous feedback loop
Free tier available·Technical·Powered by Agnostic (OpenAI, Anthropic, Gemini, Bedrock, Ollama, and 20+ others)·API available·Open source
Key strengths
One-line instrumentation for instant LLM observabilityBuilt on OpenTelemetry with open-source OpenLLMetry SDKSupports 20+ LLM providers, vector DBs, and AI frameworksCustom evaluator training on real annotated examplesEnterprise-ready: SOC 2 & HIPAA compliant, on-prem/air-gapped deployment
Free tier + paid plans
Self-hostable
No ratings yet
Technical Integration Guide
Traceloop uses OpenTelemetry as its instrumentation standard and provides OpenLLMetry — an open-source SDK — as the primary integration path.
Quick Start (Python)
pip install traceloop-sdk
from traceloop.sdk import Traceloop
Traceloop.init(app_name="my-llm-app")
That's it. All LLM calls made via supported providers are automatically traced.
Supported Languages
- Python, TypeScript/JavaScript, Go, Ruby
Supported LLM Providers (20+)
OpenAI, Anthropic, Google Gemini, AWS Bedrock, Ollama, and more.
Supported Vector Databases
Pinecone, Chroma
Supported Frameworks
LangChain, LlamaIndex, CrewAI
Evaluation Pipeline
- Built-in metrics: Faithfulness, relevance, safety — applied automatically to real traffic.
- Custom evaluators: Annotate production examples, then train a model-based evaluator aligned to your quality criteria.
- CI/CD integration: Run evaluations on every pull request with configurable quality thresholds to gate deployments.
Deployment Options
- Cloud (SaaS): Managed by Traceloop.
- On-premises: Deploy within your own infrastructure.
- Air-gapped: Fully isolated deployment for high-security environments.
- Compliance: SOC 2 and HIPAA certified.
Native Gateway
Use Hub, Traceloop's native OpenTelemetry-based gateway, as an alternative to the SDK for proxy-based instrumentation.