QuickAPI Store - AI 应用基座统一 API 网关

Request POST

/v1/chat/completions

curl -X POST "/v1/chat/completions" \
  -H "Authorization: Bearer sk-••••" \
  -d '{
    "model": "your-model",
    "messages": [
      { "role": "user", "content": "..." }
    ]
  }'

Response

200 ok

142ms

27 tokens

$0.00081

{ "choices": [{ "message": { "content": "Chat request routed." } }], "usage": { "total_tokens": 27 } }

stream · sse

Request POST

/v1/responses

curl -X POST "/v1/responses" \
  -H "Authorization: Bearer sk-••••" \
  -d '{
    "model": "your-model",
    "input": "..."
  }'

Response

200 ok

168ms

31 tokens

$0.00093

{ "output": [{ "type": "output_text", "text": "Response workflow ready." }], "usage": { "total_tokens": 31 } }

stream · sse

Request POST

/v1/messages

curl -X POST "/v1/messages" \
  -H "Authorization: Bearer sk-••••" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-3-5-sonnet",
    "max_tokens": 1024,
    "messages": [
      { "role": "user", "content": "Hello, Claude!" }
    ]
  }'

Response

200 ok

856ms

156 tokens

$0.00468

{ "id": "msg_01...", "content": [{ "type": "text", "text": "Hello! How can I assist you today?" }], "usage": { "input_tokens": 12, "output_tokens": 144 } }

stream · sse

Request POST

/v1beta/models/gemini-pro:generateContent

curl -X POST "/v1beta/models/gemini-pro:generateContent" \
  -H "Authorization: Bearer sk-••••" \
  -d '{
    "contents": [{
      "parts": [{ "text": "Hello, Gemini!" }]
    }]
  }'

Response

200 ok

523ms

89 tokens

$0.00045

{ "candidates": [{ "content": { "parts": [{ "text": "Hello! I'm Gemini, happy to help." }] } }], "usageMetadata": { "totalTokenCount": 89 } }

stream · sse

人工智能应用基座统一 API 网关

人工智能应用基座
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