{
  "id": "provider-cohere-001",
  "provider": "cohere",
  "label": "Cohere",
  "baseUrl": "https://api.cohere.ai/compatibility/v1",
  "apiFormat": "openai-completions",
  "apiKeyRef": "cohere",
  "apiKeyVerified": false,
  "enabled": false,
  "status": "unconfigured",
  "priceCurrency": "USD",
  "services": [
    "chat",
    "embedding",
    "rerank"
  ],
  "models": [
    {
      "modelName": "command-a-03-2025",
      "displayName": "Command A",
      "serviceType": [
        "chat"
      ],
      "description": "Cohere 旗舰对话模型，256K 上下文，擅长 RAG 和工具调用",
      "contextWindow": 256000,
      "maxOutputTokens": 8000,
      "capabilities": [
        "chat",
        "reasoning",
        "code",
        "vision",
        "tool_use",
        "rag",
        "long_context"
      ],
      "inputPrice": 2.5,
      "outputPrice": 10.0,
      "defaultTemperature": 0.3,
      "defaultTopP": 0.75,
      "extra": {
        "pricingNotes": "Prices are per 1M tokens."
      }
    },
    {
      "modelName": "command-r7b-12-2024",
      "displayName": "Command R7B",
      "serviceType": [
        "fast"
      ],
      "description": "Cohere 小型高速对话模型，适合高吞吐、低延迟场景",
      "contextWindow": 128000,
      "maxOutputTokens": 4000,
      "capabilities": [
        "chat",
        "reasoning",
        "tool_use",
        "rag",
        "fast"
      ],
      "inputPrice": 0.0375,
      "outputPrice": 0.15,
      "defaultTemperature": 0.3,
      "defaultTopP": 0.75,
      "extra": {
        "pricingNotes": "Prices are per 1M tokens."
      }
    },
    {
      "modelName": "embed-v4.0",
      "displayName": "Embed V4",
      "serviceType": [
        "embedding"
      ],
      "description": "Cohere 最新 Embedding 模型，128K 上下文，多语言支持",
      "contextWindow": 128000,
      "maxOutputTokens": 0,
      "capabilities": [
        "text_embedding",
        "multilingual"
      ],
      "inputPrice": 0.12,
      "outputPrice": 0,
      "extra": {
        "dimensions": [
          256,
          512,
          1024,
          1536
        ],
        "defaultDimension": 1536,
        "pricingNotes": "Embedding models are priced by embedded tokens; price is per 1M tokens."
      }
    },
    {
      "modelName": "rerank-v3.5",
      "displayName": "Rerank V3.5",
      "serviceType": [
        "rerank"
      ],
      "description": "Cohere 语义重排序模型，用于检索结果精排，默认单文档截断 4096 token",
      "contextWindow": 4096,
      "maxOutputTokens": 0,
      "capabilities": [
        "rerank",
        "semantic_reranking"
      ],
      "inputPrice": 2.0,
      "outputPrice": 0,
      "extra": {
        "pricingNotes": "Cohere Rerank is priced by search units, not input/output tokens; one search unit is one query with up to 100 documents. The token price fields are retained for schema compatibility."
      }
    }
  ]
}