update repos
Browse files
awesome-ChatGPT-repositories.json
CHANGED
@@ -5173,6 +5173,41 @@
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5173 |
"zh-hans": "🧊 面向开发人员的开源LLM-可观测性平台。一键集成监控、指标、评估、代理追踪、提示管理、沙盒等功能。支持OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain等。🍓",
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5174 |
"zh-hant": "🧊 開源 LLM-可觀察性平台,為開發人員提供。一鍵集成監控、指標、評估、代理追踪、提示管理、遊樂場等功能。支持 OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain 等。🍓"
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5175 |
}
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5176 |
}
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},
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5178 |
"Chatbots": {
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@@ -19151,6 +19186,27 @@
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19151 |
"zh-hans": "🍭 一键拥有你自己的ChatGPT+众多AI网页服务 | 一键访问您自己的ChatGPT+多种AI网页服务",
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19152 |
"zh-hant": "🍭 一鍵擁有你自己的ChatGPT+眾多AI網頁服務 | 一鍵擁有你自己的ChatGPT+眾多AI網頁服務"
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19153 |
}
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19154 |
}
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19155 |
},
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19156 |
"Reimplementations": {
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@@ -26161,6 +26217,41 @@
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26161 |
"zh-hans": "400多个LLM的Easy token价格估算。TokenOps。",
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26162 |
"zh-hant": "400多個LLM的Easy token價格估算。TokenOps。"
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26163 |
}
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26164 |
}
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},
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26166 |
"Langchain": {
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@@ -28648,6 +28739,36 @@
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28648 |
"zh-hans": "使用LLMs对文本数据集进行标记、清洗和丰富。",
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28649 |
"zh-hant": "使用LLMs標記、清理和豐富文本數據集。"
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28650 |
}
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}
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28652 |
},
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28653 |
"Unity": {
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@@ -33059,6 +33180,27 @@
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33059 |
"zh-hans": "一款由WPF开发的即开即用、即用即走的翻译OCR工具",
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33060 |
"zh-hant": "一款由WPF/WPF開發的即開即用、即用即走的翻譯、OCR工具"
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33061 |
}
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}
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},
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"Others": {
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5173 |
"zh-hans": "🧊 面向开发人员的开源LLM-可观测性平台。一键集成监控、指标、评估、代理追踪、提示管理、沙盒等功能。支持OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain等。🍓",
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5174 |
"zh-hant": "🧊 開源 LLM-可觀察性平台,為開發人員提供。一鍵集成監控、指標、評估、代理追踪、提示管理、遊樂場等功能。支持 OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain 等。🍓"
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5175 |
}
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},
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5177 |
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"https://github.com/codelion/optillm": {
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"repository_name": "optillm",
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"user_name": "codelion",
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5180 |
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"language": "Python",
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5181 |
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"license": "Apache License 2.0",
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5182 |
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"description": "Optimizing inference proxy for LLMs",
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"topics": [
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"agent",
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"agentic-ai",
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"agentic-framework",
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"agentic-workflow",
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"agents",
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"api-gateway",
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"chain-of-thought",
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"genai",
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"large-language-models",
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"llm",
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"llm-inference",
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"llmapi",
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"mixture-of-experts",
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"moa",
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"monte-carlo-tree-search",
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5199 |
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"openai",
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5200 |
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"openai-api",
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5201 |
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"optimization",
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5202 |
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"prompt-engineering",
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5203 |
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"proxy-server"
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],
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"multilingual_descriptions": {
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"en": "Optimizing inference proxy for LLMs",
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5207 |
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"ja": "LLMsの推論プロキシの最適化",
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5208 |
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"zh-hans": "为LLMs优化推理代理",
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"zh-hant": "為LLMs優化推論代理"
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}
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5211 |
}
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5212 |
},
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"Chatbots": {
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19186 |
"zh-hans": "🍭 一键拥有你自己的ChatGPT+众多AI网页服务 | 一键访问您自己的ChatGPT+多种AI网页服务",
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19187 |
"zh-hant": "🍭 一鍵擁有你自己的ChatGPT+眾多AI網頁服務 | 一鍵擁有你自己的ChatGPT+眾多AI網頁服務"
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19188 |
}
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},
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"https://github.com/licoy/chatany": {
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19191 |
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"repository_name": "ChatAny",
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19192 |
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"user_name": "Licoy",
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19193 |
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"language": "TypeScript",
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19194 |
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"license": "MIT License",
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19195 |
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"description": "🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services",
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19196 |
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"topics": [
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"chatgpt",
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"chatgpt-next-web",
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"chatgpt-web",
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"midjourney",
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"openai",
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19202 |
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"stable-diffusion"
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19203 |
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],
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19204 |
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"multilingual_descriptions": {
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"en": "🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services",
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19206 |
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"ja": "🌻 あなた自身のChatGPT+多くのAIウェブサービスにワンクリックでアクセスできます",
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"zh-hans": "🌻 一键拥有您自己的ChatGPT+许多AI网页服务",
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19208 |
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"zh-hant": "🌻 一鍵擁有你自己的 ChatGPT+眾多AI 網頁服務 | 一鍵擁有你自己的 ChatGPT+眾多AI 網頁服務"
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}
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19210 |
}
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19211 |
},
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19212 |
"Reimplementations": {
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26217 |
"zh-hans": "400多个LLM的Easy token价格估算。TokenOps。",
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26218 |
"zh-hant": "400多個LLM的Easy token價格估算。TokenOps。"
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26219 |
}
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26220 |
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},
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"https://github.com/ten-framework/ten-agent": {
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26222 |
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"repository_name": "TEN-Agent",
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26223 |
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"user_name": "TEN-framework",
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26224 |
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"language": "Python",
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26225 |
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"license": "Apache License 2.0",
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26226 |
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"description": "TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.",
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"topics": [
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"agent",
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"ai",
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"asr",
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"cpp",
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"gemini",
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"golang",
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"gpt-4",
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"gpt-4o",
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"llm",
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"low-latency",
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"multimodal",
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"nextjs14",
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"openai",
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26241 |
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"python",
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"rag",
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"real-time",
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"realtime",
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"tts",
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"vision",
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"voice-assistant"
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],
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26249 |
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"multilingual_descriptions": {
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26250 |
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"en": "TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.",
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26251 |
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"ja": "TENエージェントは、世界初のOpenAI Realtime API、RTCと統合されたリアルタイムマルチモーダルエージェントで、天気チェック、ウェブ検索、ビジョン、RAG機能を備えています。",
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"zh-hans": "TEN Agent是全球第一个集成OpenAI实时API、RTC的实时多模态代理,具有天气查询、网络搜索、视觉和RAG功能。",
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"zh-hant": "TEN Agent 是全球第一個與 OpenAI 實時 API、RTC 整合的實時多模式代理,具有天氣查詢、網絡搜索、視覺和 RAG 功能。"
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}
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}
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},
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"Langchain": {
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28739 |
"zh-hans": "使用LLMs对文本数据集进行标记、清洗和丰富。",
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28740 |
"zh-hant": "使用LLMs標記、清理和豐富文本數據集。"
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28741 |
}
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},
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"https://github.com/agentops-ai/agentops": {
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"repository_name": "agentops",
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28745 |
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"user_name": "AgentOps-AI",
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28746 |
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"language": "Python",
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28747 |
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"license": "MIT License",
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28748 |
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"description": "Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen",
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"topics": [
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"agent",
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28751 |
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"agentops",
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28752 |
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"ai",
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28753 |
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"anthropic",
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"autogen",
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"cost-estimation",
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"crewai",
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28757 |
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"evals",
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"evaluation-metrics",
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"groq",
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"langchain",
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"llm",
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28762 |
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"mistral",
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"ollama",
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"openai"
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],
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"multilingual_descriptions": {
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28767 |
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"en": "Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen",
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28768 |
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"ja": "AIエージェントの監視、LLMコストの追跡、ベンチマーキングなどのためのPython SDK。CrewAI、Langchain、AutogenなどのほとんどのLLMやエージェントフレームワークと統合されています。",
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28769 |
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"zh-hans": "Python SDK用于AI代理监控,LLM成本跟踪,基准测试等。与大多数LLM和代理框架集成,如CrewAI,Langchain和Autogen。",
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28770 |
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"zh-hant": "Python SDK用於AI代理監控,LLM成本追踪,基準測試等。與大多數LLM和代理框架集成,如CrewAI,Langchain和Autogen。"
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}
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}
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28773 |
},
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"Unity": {
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33180 |
"zh-hans": "一款由WPF开发的即开即用、即用即走的翻译OCR工具",
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33181 |
"zh-hant": "一款由WPF/WPF開發的即開即用、即用即走的翻譯、OCR工具"
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}
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},
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"https://github.com/qdrant/fastembed": {
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33185 |
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"repository_name": "fastembed",
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33186 |
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"user_name": "qdrant",
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33187 |
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"language": "Python",
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33188 |
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"license": "Apache License 2.0",
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33189 |
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"description": "Fast, Accurate, Lightweight Python library to make State of the Art Embedding",
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33190 |
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"topics": [
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"embeddings",
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33192 |
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"openai",
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33193 |
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"rag",
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33194 |
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"retrieval",
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"retrieval-augmented-generation",
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33196 |
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"vector-search"
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],
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"multilingual_descriptions": {
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"en": "Fast, Accurate, Lightweight Python library to make State of the Art Embedding",
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"ja": "高速で正確で軽量なPythonライブラリを使用して、最先端の埋め込みを作成します。",
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"zh-hans": "快速、准确、轻量级的Python库,用于生成最先进的嵌入。",
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33202 |
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"zh-hant": "快速、準確、輕量級的Python庫,用於製作最先進的嵌入。"
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}
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}
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},
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"Others": {
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