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Helicone - llm observability platform

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Helicone is the open-source observability platform for Large Language Models, providing monitoring, analytics, and optimization tools for LLM applications. The platform offers comprehensive logging and tracking of LLM requests, response analytics, cost monitoring, and performance optimization features. Key capabilities include request/response logging, latency tracking, token usage analytics, error monitoring, and custom property tracking. Helicone supports major LLM providers including OpenAI, Anthropic, Cohere, and others through simple proxy integration or SDK usage. The platform provides detailed insights into user interactions, model performance, and operational costs, helping teams optimize their LLM applications. Features include caching for cost reduction, rate limiting, retries, and custom evaluation metrics. Helicone offers both open-source self-hosted and managed cloud options, making it accessible for teams of all sizes. With its focus on ease of integration and comprehensive analytics, Helicone is essential for teams building production LLM applications who need visibility into their AI infrastructure performance and costs.

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Helicone is the open-source observability platform for Large Language Models, providing monitoring, analytics, and optimization tools for LLM applications. The platform offers comprehensive logging and tracking of LLM requests, response analytics, cost monitoring, and performance optimization features. Key capabilities include request/response logging, latency tracking, token usage analytics, error monitoring, and custom property tracking. Helicone supports major LLM providers including OpenAI, Anthropic, Cohere, and others through simple proxy integration or SDK usage. The platform provides detailed insights into user interactions, model performance, and operational costs, helping teams optimize their LLM applications. Features include caching for cost reduction, rate limiting, retries, and custom evaluation metrics. Helicone offers both open-source self-hosted and managed cloud options, making it accessible for teams of all sizes. With its focus on ease of integration and comprehensive analytics, Helicone is essential for teams building production LLM applications who need visibility into their AI infrastructure performance and costs.