# Traceloop

> LLM reliability platform that turns evals and monitors into a continuous feedback loop for faster, more reliable AI app releases.

Traceloop is an LLM reliability platform designed to help teams ship AI applications faster by providing comprehensive observability, evaluation, and monitoring capabilities. The platform transforms raw LLM logs into actionable insights, enabling developers to catch quality issues before they reach production and debug problems efficiently. Built on OpenTelemetry standards and featuring the open-source OpenLLMetry SDK, Traceloop offers transparency without vendor lock-in.

- **One-Line Integration** - Get started with just a single line of code to gain live visibility into prompts, responses, latency, and more without complex setup or configuration.

- **Built-in Quality Evaluators** - Run trusted quality checks including faithfulness, relevance, and safety metrics automatically on your real data to establish baseline model quality without writing custom tests.

- **Custom Evaluator Training** - Define what quality means for your specific use case by annotating real examples and training custom evaluators that score outputs according to your standards.

- **Automated Quality Gates** - Integrate evaluations into your CI/CD pipeline to run automatically on every pull request or in real-time as your application runs, catching issues early and enforcing quality thresholds.

- **Monitoring Dashboard** - Track model performance over time and detect quality drift before users notice, with comprehensive metrics and alerting capabilities.

- **Prompt Management** - Manage and version your prompts with built-in tooling to maintain consistency across deployments.

- **Multi-Stack Support** - Connect LLMs using Python, TypeScript, Go, or Ruby through OpenLLMetry or the native OpenTelemetry-based Hub gateway.

- **Broad Provider Compatibility** - Works with 20+ providers including OpenAI, Anthropic, Gemini, Bedrock, and Ollama, plus vector databases like Pinecone and Chroma, and frameworks like LangChain, LlamaIndex, and CrewAI.

- **Enterprise-Ready Deployment** - SOC 2 and HIPAA compliant with options for cloud, on-premise, or air-gapped deployment to meet security requirements.

To get started, sign up for a free account and add the OpenLLMetry SDK to your application with a single line of code. The platform immediately begins capturing traces and providing visibility into your LLM operations. From there, configure standard evaluators or train custom ones based on your quality requirements.

## Features
- One-line SDK integration
- Live visibility into prompts and responses
- Built-in quality evaluators (faithfulness, relevance, safety)
- Custom evaluator training
- Automated quality gates
- CI/CD integration
- Monitoring dashboard
- Evaluation dashboard
- Prompt management
- Multi-language support (Python, TypeScript, Go, Ruby)
- OpenTelemetry-based architecture
- SOC 2 compliance
- HIPAA compliance
- On-premise deployment option
- Air-gapped environment support

## Integrations
OpenAI, Anthropic, Gemini, AWS Bedrock, Ollama, Pinecone, Chroma, LangChain, LlamaIndex, CrewAI, AWS Marketplace, GCP Marketplace, Azure Marketplace

## Platforms
WEB, API, DEVELOPER_SDK

## Pricing
Open Source, Free tier available

## Links
- Website: https://www.traceloop.com/
- Documentation: https://www.traceloop.com/docs
- Repository: https://github.com/traceloop/openllmetry
- EveryDev.ai: https://www.everydev.ai/tools/traceloop