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claude-sonnet-5-5

Claude Sonnet 5.5 · API

POST https://nezhagate.com/v1/chat/completions

OpenAI-compatible chat completions backed by Anthropic Claude Sonnet 5.5, the newest Sonnet and the best combination of speed and intelligence: a 1M-token context window, up to 128K output tokens per request and adaptive thinking. Image input, tool calling, prompt caching, stop sequences and streaming are supported; set model to claude-sonnet-5-5. On the OpenAI-compatible endpoint the model thinks at its default effort and returns no thinking content, and response_format is not guaranteed. For effort control (output_config.effort: low / medium / high / xhigh / max), thinking summaries (thinking.display: summarized), structured output (output_config.format) or PDF input, use the native Anthropic Messages API at /anthropic/v1/messages, which Claude Code connects to directly. temperature / top_p / top_k are ignored, a forced tool choice is treated as auto, and thinking set to disabled is ignored.

📥 Context window (max input):1,000,000 tokens (Anthropic published figure); up to 128,000 output tokens per request.

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Authentication

Header
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Create an API Key in the console to start.

Request body

ParameterTypeRequiredDescription
model string Yes Model ID, here claude-sonnet-5-5.
messages array Yes Array of messages; each has role (system/user/assistant) and content. content may be a string, or an array of {type:text} and {type:image_url} parts for image understanding (multimodal/vision).
stream boolean No Stream the response as SSE. Default false.
temperature number No No effect: this model ignores temperature / top_p (no error) and samples at its default.
max_tokens integer No Maximum number of tokens to generate.
web_search boolean No Set true to enable web search: the gateway augments the prompt with live results (citing sources) before the model answers. Can also be triggered via a tools entry {"type":"web_search"}.
reasoning_effort string No No effect on the OpenAI-compatible endpoint: the model thinks at its default effort. To set the effort, call the native Anthropic API and send output_config.effort (low / medium / high / xhigh / max).

Request example

cURL
curl https://nezhagate.com/v1/chat/completions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model": "claude-sonnet-5-5", "messages": [{"role": "user", "content": "Hello"}], "stream": false}'

Response

200 · JSON
{
  "id": "chatcmpl_xxx",
  "object": "chat.completion",
  "model": "claude-sonnet-5-5",
  "choices": [
    {"index": 0, "message": {"role": "assistant", "content": "Hello!"}, "finish_reason": "stop"}
  ],
  "usage": {"prompt_tokens": 11, "completion_tokens": 7, "total_tokens": 18}
}

Image input (Vision)

Put an image in the message content array and the model will analyze it (visual Q&A, reading text / OCR, …). image_url accepts a public image link or an inline base64 data URL (data:image/png;base64,...). Available on multimodal models (gpt-5.5, gemini series, …).

curl · Image input (Vision)
curl https://nezhagate.com/v1/chat/completions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"model": "claude-sonnet-5-5", "messages": [{"role": "user", "content": [{"type": "text", "text": "What is in this picture?"}, {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}]}]}'

Error codes

Every error body carries error.message / error.type / error.code / error.param - branch on code; the full list is in the integration guide.

HTTPcodeDescription
401invalid_api_keyAPI Key missing or invalid
402insufficient_quotaInsufficient balance or Key over quota
400invalid_requestUnsupported model or parameter
429rate_limit_exceededUpstream rate limit
502upstream_errorAll upstream routes failed