[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-71396":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":46,"readmeContent":47,"aiSummary":48,"trendingCount":16,"starSnapshotCount":16,"syncStatus":49,"lastSyncTime":50,"discoverSource":51},71396,"helicone","Helicone\u002Fhelicone","Helicone","🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓","https:\u002F\u002Fwww.helicone.ai",null,"TypeScript",5802,596,55,34,0,20,41,156,60,114.33,"Apache License 2.0",false,"main",true,[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"agent-monitoring","analytics","evaluation","gpt","langchain","large-language-models","llama-index","llm","llm-cost","llm-evaluation","llm-observability","llmops","monitoring","open-source","openai","playground","prompt-engineering","prompt-management","ycombinator","2026-06-12 04:01:00","\u003Cdiv align=\"center\">\n\n| 🔍 Observability | 🕸️ Agent Tracing | 🚂 LLM Routing |\n| :--------------: | :--------------: | :------------------: |\n|  💰 Cost & Latency Tracking  |   📚 Datasets & Fine-tuning    |    🎛️ Automatic Fallbacks   |\n\n\u003C\u002Fdiv>\n\n\u003Cp align=\"center\" style=\"margin: 0; padding: 0;\">\n  \u003Cimg alt=\"helicone logo\" src=\"https:\u002F\u002Fmarketing-assets-helicone.s3.us-west-2.amazonaws.com\u002FTwitter_Cover_A1.png\" style=\"display: block; margin: 0; padding: 0;\">\n\u003C\u002Fp>\n\u003C\u002Fbr>\n\n\u003Cp align=\"center\">\n  \u003Ca href='https:\u002F\u002Fgithub.com\u002Fhelicone\u002Fhelicone\u002Fgraphs\u002Fcontributors'>\u003Cimg src='https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcontributors\u002Fhelicone\u002Fhelicone?style=flat-square' alt='Contributors' \u002F>\u003C\u002Fa>\n  \u003Ca href='https:\u002F\u002Fgithub.com\u002Fhelicone\u002Fhelicone\u002Fstargazers'>\u003Cimg alt=\"GitHub stars\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fhelicone\u002Fhelicone?style=flat-square\"\u002F>\u003C\u002Fa>\n  \u003Ca href='https:\u002F\u002Fgithub.com\u002Fhelicone\u002Fhelicone\u002Fpulse'>\u003Cimg alt=\"GitHub commit activity\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fcommit-activity\u002Fm\u002Fhelicone\u002Fhelicone?style=flat-square\"\u002F>\u003C\u002Fa>\n  \u003Ca href='https:\u002F\u002Fgithub.com\u002Fhelicone\u002Fhelicone\u002Fissues?q=is%3Aissue+is%3Aclosed'>\u003Cimg alt=\"GitHub closed issues\" src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fissues-closed\u002Fhelicone\u002Fhelicone?style=flat-square\"\u002F>\u003C\u002Fa>\n  \u003Ca href='https:\u002F\u002Fwww.ycombinator.com\u002Fcompanies\u002Fhelicone'>\u003Cimg alt=\"Y Combinator\" src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FY%20Combinator-Helicone-orange?style=flat-square\"\u002F>\u003C\u002Fa>\n\u003C\u002Fp>\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fdocs.helicone.ai\u002F\">Docs\u003C\u002Fa> • \u003Ca href=\"https:\u002F\u002Fwww.helicone.ai\u002Fchangelog\">Changelog\u003C\u002Fa> • \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fhelicone\u002Fhelicone\u002Fissues\">Bug reports\u003C\u002Fa> • \u003Ca href=\"https:\u002F\u002Fhelicone.ai\u002Fdemo\">See Helicone in Action! (Free)\u003C\u002Fa>\n\u003C\u002Fp>\n\n## Helicone is an AI Gateway & LLM Observability Platform for AI Engineers\n\n- 🌐 **AI Gateway**: Access 100+ AI models with 1 API key through the OpenAI API with intelligent routing and automatic fallbacks. [Get started in 2 minutes.](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Foverview)\n- 🔌 **Quick integration**: One-line of code to log all your requests from [OpenAI](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=openai), [Anthropic](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=anthropic), [LangChain](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Fintegrations\u002Flangchain), [Gemini](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=gemini%2Cgoogle-ai-studio), [Vercel AI SDK](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Fintegrations\u002Fvercel-ai-sdk), and [more](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Foverview).\n- 📊 **Observe**: Inspect and debug traces & [sessions](https:\u002F\u002Fdocs.helicone.ai\u002Ffeatures\u002Fsessions) for agents, chatbots, document processing pipelines, and more\n- 📈 **Analyze**: Track metrics like [cost](https:\u002F\u002Fdocs.helicone.ai\u002Ffaq\u002Fhow-we-calculate-cost#developer), latency, quality, and more. Export to [PostHog](https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fintegration-method\u002Fposthog) in one-line for custom dashboards\n- 🎮 **Playground**: Rapidly test and iterate on prompts, sessions and traces in our UI.\n- 🧠 **Prompt Management**: [Version prompts](https:\u002F\u002Fdocs.helicone.ai\u002Ffeatures\u002Fprompts) using production data. Deploy prompts through the AI Gateway without code changes. Your prompts remain under your control, always accessible.\n- 🎛️ **Fine-tune**: Fine-tune with one of our fine-tuning partners: [OpenPipe](https:\u002F\u002Fopenpipe.ai\u002F) or [Autonomi](https:\u002F\u002Fwww.autonomi.ai\u002F) (more coming soon)\n- 🛡️ **Enterprise Ready**: SOC 2 and GDPR compliant\n\n> 🎁 Generous monthly [free tier](https:\u002F\u002Fwww.helicone.ai\u002Fpricing) (10k requests\u002Fmonth) - No credit card required!\n>\n\u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fe16332e9-d642-427e-b3ce-1a74a17f7b2c\" alt=\"Open Sourced LLM Observability & AI Gateway Platform\" width=\"600\">\n\n## Quick Start ⚡️\n\n1. Get your API key by signing up [here](https:\u002F\u002Fhelicone.ai\u002Fsignup) and add credits at [helicone.ai\u002Fcredits](https:\u002F\u002Fus.helicone.ai\u002Fcredits)\n\n2. Update the `baseURL` in your code and add your API key.\n\n   ```typescript\n   import OpenAI from \"openai\";\n\n   const client = new OpenAI({\n     baseURL: \"https:\u002F\u002Fai-gateway.helicone.ai\",\n     apiKey: process.env.HELICONE_API_KEY,\n   });\n\n   const response = await client.chat.completions.create({\n     model: \"gpt-4o-mini\",  \u002F\u002F claude-sonnet-4, gemini-2.0-flash or any model from https:\u002F\u002Fwww.helicone.ai\u002Fmodels\n     messages: [{ role: \"user\", content: \"Hello!\" }]\n   });\n   ```\n\n3. 🎉 You're all set! View your logs at [Helicone](https:\u002F\u002Fus.helicone.ai\u002Fdashboard) and access 100+ models through one API.\n\n### Self-Hosting Open Source LLM Observability\n\n#### Docker\n\nHelicone is simple to self-host and update. To get started locally, just use our [docker-compose](https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fself-deploy-docker) file.\n\n```bash\n# Clone the repository\ngit clone https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone.git\ncd docker\ncp .env.example .env\n\n# Start the services\n.\u002Fhelicone-compose.sh helicone up\n```\n\n#### Helm\n\nFor Enterprise workloads, we also have a production-ready Helm chart available. To access, contact us at enterprise@helicone.ai.\n\n#### Manual (Not Recommended)\n\nManual deployment is not recommended. Please use Docker or Helm. If you must, follow the instructions [here](https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fself-deploy).\n\n#### Architecture\n\nHelicone is comprised of five services:\n\n- **Web**: Frontend Platform (NextJS)\n- **Worker**: Proxy Logging (Cloudflare Workers)\n- **Jawn**: Dedicated Server for serving collecting logs (Express + Tsoa)\n- **Supabase**: Application Database and Auth\n- **ClickHouse**: Analytics Database\n- **Minio**: Object Storage for logs.\n\n## Integrations 🔌\n\n### Inference Providers\n\n| Integration                                                                            | Supports                                                                                                                                     | Description                                           |\n| -------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------- |\n| AI Gateway                                | [JS\u002FTS, Python, cURL](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Foverview)                                                                                                                          | Unified API for 100+ providers with intelligent routing, automatic fallbacks, and unified observability\n| Async Logging (OpenLLMetry)                                                            | [JS\u002FTS](https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fintegration-method\u002Fopenllmetry), [Python](https:\u002F\u002Fwww.npmjs.com\u002Fpackage\u002F@helicone\u002Fhelicone) | Asynchronous logging for multiple LLM platforms       |\n| OpenAI                                                                                 | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=openai)              | Inference provider                                                     |\n| Azure OpenAI                                                                           | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=azure)                | Inference provider                                                     |\n| Anthropic                                                                              | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?search=anthropic)        | Inference provider                                                     |\n| Ollama                                                                                 | [JS\u002FTS](https:\u002F\u002Fdocs.helicone.ai\u002Fintegrations\u002Follama\u002Fjavascript)                                                                             | Run and use large language models locally             |\n| AWS Bedrock                                                                            | [JS\u002FTS](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=azure%2Cbedrock)                                                                            | Inference provider                                                     |\n| Gemini API                                                                             | [JS\u002FTS](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=google-ai-studio)                                                                         | Inference provider                                                     |\n| Gemini Vertex AI                                                                       | [JS\u002FTS](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=vertex)                                                                      | Gemini models on Google Cloud's Vertex AI             |\n| Vercel AI                                                                              | [JS\u002FTS](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Fintegrations\u002Fvercel-ai-sdk)                                                                           | AI SDK for building AI-powered applications           |\n| Anyscale | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=anyscale)                                                                                                                                | Inference provider                                                     |\n| TogetherAI | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=together)     | Inference provider                                                                                                                                | -                                                     |\n| Hyperbolic | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=hyperbolic)   | Inference provider                                                                                                                                | High-performance AI inference platform                |\n| Groq                                                                                   | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=groq)                  | High-performance models                               |\n| DeepInfra     | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=deepinfra)                                                                                                                                | Serverless AI inference for various models            |       |\n| Fireworks AI  | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=fireworks)                                                                                                                                | Fast inference API for open-source LLMs               |\n\n### Frameworks\n\n| Framework                                                             | Supports                                                            | Description                                                                             |\n| --------------------------------------------------------------------- | ------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |\n| LangChain   | [JS\u002FTS, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=langchain)                                                       | Use AI Gateway with LangChain for unified provider access                               |\n| LlamaIndex | [Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=llamaindex)                                                              | Framework for building LLM-powered data applications                                    |\n| LangGraph   | [Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=langgraph)                                                              | Build stateful, multi-actor applications with LLMs                                       |\n| Vercel AI SDK | [JS\u002FTS](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=vercel-ai-sdk)                                                               | AI SDK for building AI-powered applications                                              |\n| Semantic Kernel | [C#, Python](https:\u002F\u002Fwww.helicone.ai\u002Fmodels?providers=semantic-kernel)                                                          | Microsoft's AI orchestration framework                                                  |\n| CrewAI         | [Python](https:\u002F\u002Fdocs.helicone.ai\u002Fintegrations\u002Fopenai\u002Fcrewai)                                                                   | Framework for orchestrating role-playing AI agents                                      |                                                           |\n| ModelFusion                            | [JS\u002FTS](https:\u002F\u002Fgithub.com\u002Fvercel\u002Fmodelfusion\u002Fblob\u002Fmain\u002Fdocs\u002Fintegration\u002Fobservability\u002Fhelicone.md) | Abstraction layer for integrating AI models into JavaScript and TypeScript applications |\n| PostHog | [JS\u002FTS, Python, cURL](https:\u002F\u002Fdocs.helicone.ai\u002Fgetting-started\u002Fintegration-method\u002Fposthog) | Product analytics platform. Build custom dashboards.    |\n| RAGAS                     | [Python](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fragas) | Evaluation framework for retrieval-augmented generation |\n| Open WebUI           | [JS\u002FTS](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fopen-webui) | Web interface for interacting with local LLMs           |\n| MetaGPT                | [YAML](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fmeta-gpt) | Multi-agent framework                                   |\n| Open Devin           | [Docker](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fopen-devin) | AI software engineer                                    |\n| Mem0 EmbedChain      | [Python](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fembedchain) | Framework for building RAG applications                 |\n| Dify                      | [No code required](https:\u002F\u002Fdocs.helicone.ai\u002Fother-integrations\u002Fdify) | LLMOps platform for AI-native application development   |\n\n> This list may be out of date. Don't see your provider or framework? Check out the latest integrations in our [docs](https:\u002F\u002Fdocs.helicone.ai\u002Fgateway\u002Fintegrations\u002Foverview). If not found there, request a new integration by contacting help@helicone.ai.\n\n## Contributing\n\nWe ❤️ our contributors! We warmly welcome contributions for documentation, integrations, costs, and feature requests.\n\nIf you have an idea for how Helicone can be better, create a [GitHub issue](https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone\u002Fissues).\n\n## License\n\nHelicone is licensed under the [Apache v2.0 License](LICENSE).\n\n## Additional Resources\n\n- **LLM Cost API**: We have the largest open-source API pricing database with 300+ models and providers such as OpenAI, Anthropic and more. [Start querying here.](https:\u002F\u002Fwww.helicone.ai\u002Fllm-cost)\n\n- **Data Management**: Manage and export your Helicone data with our [API](https:\u002F\u002Fdocs.helicone.ai\u002Frest\u002Fuser\u002Fpost-v1userquery) or access it with our [MCP server](https:\u002F\u002Fdocs.helicone.ai\u002Fintegrations\u002Ftools\u002Fmcp).\n\n  - Guides: [ETL](https:\u002F\u002Fdocs.helicone.ai\u002Fuse-cases\u002Fetl), [Request Exporting](https:\u002F\u002Fdocs.helicone.ai\u002Fuse-cases\u002Fgetting-user-requests)\n\n- **Data Ownership**: Learn about [Data Ownership and Autonomy](https:\u002F\u002Fdocs.helicone.ai\u002Fuse-cases\u002Fdata-autonomy)\n\nFor more information, visit our [documentation](https:\u002F\u002Fdocs.helicone.ai\u002F).\n\n# Contributors\n\n\u003Ca href=\"https:\u002F\u002Fgithub.com\u002FHelicone\u002Fhelicone\u002Fgraphs\u002Fcontributors\">\n  \u003Cimg src=\"https:\u002F\u002Fcontrib.rocks\u002Fimage?repo=Helicone\u002Fhelicone\" \u002F>\n\u003C\u002Fa>\n","Helicone 是一个开源的大型语言模型（LLM）可观测性平台，通过一行代码即可实现监控、评估和实验。其核心功能包括成本与延迟跟踪、数据集与微调管理以及自动故障转移等，采用 TypeScript 编写。Helicone 为开发者提供了快速集成、智能路由及全面的分析工具，适用于需要对 AI 模型进行深度观察与优化的各种场景，如聊天机器人开发、文档处理流程构建等。此外，它还支持多种主流 AI 服务提供商，并提供了一个易于使用的 Playground 以加速提示工程的迭代过程。",2,"2026-06-11 03:37:31","high_star"]