1. Anthropic
toiotech
  • toiotech接口说明
  • 已支持的模型列表
  • 大模型官方文档
  • Claude thinking 多轮对话
  • thinking相关说明
  • 已支持的模型列表
    • 语言大模型
      • OpenAI
        • gpt-4
        • gpt-4.1
        • gpt-4o
        • gpt-4o-mini
        • gpt-5
        • gpt-5-chat
        • gpt-5-mini
        • gpt-5-nano
        • gpt-5.1
        • gpt-5.1-chat-latest
        • gpt-5.1-codex(仅支持/v1/responses)
        • gpt-5.2
        • gpt-5.2(responses)
        • gpt-5.2-chat
        • gpt-5.2-pro(仅支持/v1/responses)
        • gpt-oss-120b
        • o1
        • o3
        • o3-mini
        • o3-deep-research
        • o3-pro
        • o4-mini
        • o4-mini-deep-research
        • gpt-5.4
        • gpt-5.4-pro
      • Google
        • gemini-2.0-flash
        • gemini-2.5-computer-use-preview-10-2025
        • gemini-2.5-flash
        • gemini-2.5-flash-lite
        • gemini-2.5-flash-lite-preview
        • gemini-2.5-pro
        • gemini-3-flash-preview
        • gemini-3-pro-preview
        • gemini-robotics-er-1.5-preview
        • gemini-(thinking_config)openai请求格式
        • gemini-3.1-pro-preview(多模态)
        • gemini-3.1-flash-lite-preview(多模态)
        • gemini-3.1-flash-lite-preview(thinking)
        • gemini-2.5-pro(原生请求格式)
      • Anthropic
        • 通用接口
          POST
        • claude-opus-4-5-20251101
          POST
        • claude-opus-4-20250514
          POST
        • claude-sonnet-4-20250514
          POST
        • claude-sonnet-4-5-20250929
          POST
        • claude-(Interleaved thinking)
          POST
        • claude-opus-4-6
          POST
        • claude-sonnet-4-6
          POST
      • DeepSeek
        • deepseek-chat
        • deepseek-reasoner
      • MiniMax
        • abab6.5s-chat
        • minimax-m2
        • minimax-m2.5
      • Moonshot
        • kimi-k2
        • kimi-k2-0711-preview
        • kimi-k2-0905
        • kimi-k2-instruct
        • kimi-k2-thinking
        • moonshot-v1-128k
        • moonshot-v1-32k
        • moonshot-v1-8k
        • moonshot-v1-128k-vision-preview
        • moonshot-v1-32k-vision-preview
        • moonshot-v1-8k-vision-preview
        • kimi-k2.5
        • 获取系统工具
        • 执行系统工具
      • xAI
        • grok-4
        • grok-4-1-fast-non-reasoning
        • grok-4-1-fast-reasoning
      • 字节跳动
        • 通用接口
        • doubao-1.8图片理解
        • doubao-1.8(视频理解)
        • doubao-seed-2-0-pro-260215(图片理解)
        • doubao-seed-2-0-pro-260215(视频理解)
      • 智谱
        • glm-4-plus
        • glm-4.5
        • glm-4.6
        • glm-4.7
        • glm-5
      • 阿里巴巴
        • qwen-max
        • qwen-max-2025-01-25
        • qwen-max-latest
        • qwen-plus
        • qwen-plus-latest
        • qwen-turbo
        • qwen2.5-7b-instruct
        • qwen2.5-32b-instruct
        • qwen2.5-72b-instruct
        • qwen3-coder-plus
        • qwen3-coder-plus-2025-07-22
        • qwen3-max
        • qwen3-max-preview
        • qwen3-235b-a22b
        • qwen3-235b-a22b-instruct-2507
        • qwen3-235b-a22b-thinking-2507
        • qwen3-8b
        • qwen3-coder-30b-a3b-instruct
        • qwen3-next-80b-a3b-instruct
        • qwen3-next-80b-a3b-thinking
        • qwen-vl-max(视觉理解)
        • qwen-vl-plus(视觉理解)
        • qwen3-vl-235b-a22b-instruct(视觉理解)
        • qwen3-vl-235b-a22b-thinking(视觉理解)
        • qwen3-vl-30b-a3b-thinking(图片理解)
        • qwen3-vl-30b-a3b-thinking(视频理解)
        • qwen3-max-2026-01-23(qwen3-max-thinking)
        • qwen3-max-2026-01-23(非思考模式)
        • qwen3.5-397b-a17b(多模态)
        • qwen3.5-plus(多模态)
        • qwen3.5-flash(多模态)
        • qwen3.5-122b-a10b(多模态)
        • qwen3.5-35b-a3b
        • qwen3.5-omni-plus(视频+文本)
        • qwen3.5-omni-plus(音频+文本)
        • qwen3.5-omni-plus(图片+文本)
        • qwen3.5-omni-flash(图片+文本)
      • 百度
        • ernie-x1-32k
        • ernie-5.0-thinking-exp
        • ernie-5.0-thinking-preview
      • 腾讯
        • hunyuan-t1-latest
      • 讯飞
        • SparkDesk-v4.0
      • 蚂蚁
        • Ling-1T
        • Ring-1T
      • 阶跃星辰
        • step-3
      • 小米
        • mimo-v2-pro
        • mimo-v2-omni(多模态理解)
    • 图片生成
      • 通用接口
        • 图片生成
        • 图片编辑
      • OpenAI
        • gpt-image系列图片生成
        • gpt-image系列图片编辑
        • dall-e-3图片生成
      • Google
        • gemini-3-pro-image-preview
        • gemini-3.1-flash-image-preview
        • gemini-2.5-flash-image
        • gemini-2.5-flash-image-preview
      • Anthropic
      • BFL
        • flux-1-kontext-pro
      • ImagineArt
        • imagineart-1.5-preview
      • 字节跳动豆包
        • doubao-seedream-5-0-260128(文生图)
        • doubao-seedream-5-0-260128(图生图)
    • 音视频处理
      • OpenAI
        • gpt-4o-audio-preview
        • gpt-audio
      • 阿里巴巴
        • qwen3-tts-flash
      • Elevenlabs
        • eleven_v3
      • MiniMax
        • 通用接口
    • 视频生成
      • Vidu
        • vidu-2.0-img2video
        • viduq2-pro提交图生视频任务
        • viduq3-pro图生视频
        • viduq3-pro文生视频
      • 字节跳动
        • 提交图生视频生成任务
        • 提交文生视频生成任务
      • 快手
        • kling提交图生视频任务
        • kling提交文生视频任务
        • kling-v3提交图生视频任务
        • kling-v3提交文生视频任务
      • 腾讯
        • hunyuan-video-v1.5
      • 海螺
        • 提交图生视频任务
        • 提交文生视频任务
      • sora
        • sora-2
        • sora-2-pro
      • Google
        • veo-3.1-generate-preview
        • veo-3.1-fast-generate-preview
      • 阿里巴巴
        • wan2.6-i2v
        • wan2.6-t2v
      • pixverse
        • pixverse-v5.5-t2v
        • pixverse-v5.5-i2v
        • pixverse-v5.6-i2v
        • pixverse-v5.6-t2v
      • ltx
        • 文生视频
        • 图生视频
      • worldlabs
        • 文生视频(world)
        • 图生视频(world)
        • 多图生视频(world)
      • runawayml
        • 提交gen4.5(文生视频)
        • 提交gen4.5(图生视频)
    • 多模态模型
      • 智谱
        • glm-4.5v
        • glm-4.6v
      • 阿里巴巴
        • qwen2.5-omni-7b
        • qwen2.5-vl-72b-instruct
        • qwen3-omni-flash-2025-12-01
      • 日日新
        • SenseNova-V6-Pro
    • Realtime
      • OpenAI
        • gpt-4o-mini-realtime-preview
        • gpt-4o-realtime-preview
        • gpt-realtime-1.5
      • qwen阿里云
        • qwen3-omni-flash-realtime
      • gemini
        • gemini-3.1-flash-live-preview
    • 向量化
      • OpenAI
        • text-embedding-3-large
        • text-embedding-3-small
        • text-embedding-ada-002
        • text-embedding-v1
    • 代码解释器
      • qwen3-模型
  • 已支持的搜索服务
    • serper
      • get方式
      • post方式
  • gemini
    • openai格式
      • gpt-5.2
      • openai格式
      • gemini-开启thinking
    • google原生格式
      • gemini-robotics-er-1.5-preview
      • google格式
  • anthropic
    • anthropic格式
      • anthropic格式
      • tools调用
      • thinking
      • image理解
      • code_execution
      • 关闭thinking
    • openai格式
      • openai格式
  • openai
    • chat/completions
    • 流式/chat/completions
    • responses
  • deepseek
    • chat/completions
  • qwen
    • qwen提交文生视频任务
    • qwen提交图生视频任务
    • qwen3-omni-flash
    • chat/completions(开启thinking)
    • chat/completions
  • 获取异步任务结果
    GET
  1. Anthropic

claude-(Interleaved thinking)

POST
/v1/chat/completions
https://platform.claude.com/docs/en/build-with-claude/extended-thinking#interleaved-thinking
To enable interleaved thinking, add the beta header interleaved-thinking-2025-05-14 to your API request.
Here are some important considerations for interleaved thinking:
With interleaved thinking, the budget_tokens can exceed the max_tokens parameter, as it represents the total budget across all thinking blocks within one assistant turn.
Interleaved thinking is only supported for tools used via the Messages API.
Interleaved thinking is supported for Claude 4 models only, with the beta header interleaved-thinking-2025-05-14.
Direct calls to the Claude API allow you to pass interleaved-thinking-2025-05-14 in requests to any model, with no effect.
On 3rd-party platforms (e.g., Amazon Bedrock and Vertex AI), if you pass interleaved-thinking-2025-05-14 to any model aside from Claude Opus 4.5, Claude Opus 4.1, Opus 4, or Sonnet 4, your request will fail.

Request

Authorization
Provide your bearer token in the
Authorization
header when making requests to protected resources.
Example:
Authorization: Bearer ********************
Body Params application/jsonRequired

Example
{
    "model": "claude-opus-4-5-20251101",
    "max_tokens": 2000,
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "1+2+3+4+...+100=?"
                }
            ]
        }
    ],
    "thinking": {
        "type": "enabled",
        "budget_tokens": 1024
    },
    "temperature": 0.8,
    "steam": false
}

Request Code Samples

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.toiotech.com/v1/chat/completions' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "claude-opus-4-5-20251101",
    "max_tokens": 2000,
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "1+2+3+4+...+100=?"
                }
            ]
        }
    ],
    "thinking": {
        "type": "enabled",
        "budget_tokens": 1024
    },
    "temperature": 0.8,
    "steam": false
}'

Responses

🟢200OK
application/json
Body

Example
{
    "id": "msg_01RTMUzgfAqheU5zG8vrBwbs",
    "model": "claude-opus-4-5-20251101",
    "object": "chat.completion",
    "created": 1766975951,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "# Sum of 1 + 2 + 3 + ... + 100\n\n## Using the formula:\n$$S = \\frac{n(n+1)}{2}$$\n\n## Calculation:\n$$S = \\frac{100 \\times 101}{2} = \\frac{10100}{2} = \\boxed{5050}$$",
                "reasoning_content": "This is asking for the sum of all integers from 1 to 100.\n\nI can use the formula for the sum of an arithmetic series:\nSum = n(n+1)/2\n\nWhere n = 100\n\nSum = 100 × 101 / 2\nSum = 10100 / 2\nSum = 5050",
                "signature": "Eu0CCkYICxgCKkBu42zpywVZcSVzok7y8BF2uUNxH0KfNtSBuLDM/PVbEkegBcoJF5OWv6DC+ksEnUB57x6FZD4BaE3f7TEMdpagEgzBXFDvXgJlbJe3HGwaDIgu4Y6a+3w6craV1SIwtmF/Rurx994wziEq7Hn4RRrJVRh1ZgOoJXfxeT6Jd/UcH4eOKLE/60bDTrDt4ZpgKtQBPOjxRd/bscLm1aDmX4YTr2mZ3bidlJYwB1ktW1GYE4XDeipZ9kP65yZOFqrqcRZwc0bcHh7Wjd8dA9pl0pPu9Oxuijpxwpq4nWfQ5sh6+L2UnULOYgCyTWtUzd0+2AKjs4kFC34Ap1c2eonRjSBxDEcfSRRocZdVQXHAnUEKMrLYOzwl44VPzZSvf3leBIts9LOgQQYDIjEhZI0NTN+ptde7UcKMCMI6jUaKaDbiFCJBpUaCV0avLi3sPkq6/cw6EDSESZ6lARdwi4/o7yeBh8qWhqwYAQ=="
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 50,
        "completion_tokens": 171,
        "total_tokens": 221,
        "prompt_tokens_details": {
            "cached_tokens": 0,
            "text_tokens": 0,
            "audio_tokens": 0,
            "image_tokens": 0
        },
        "completion_tokens_details": {
            "text_tokens": 0,
            "audio_tokens": 0,
            "reasoning_tokens": 0
        },
        "output_tokens_details": {
            "text_tokens": 0,
            "audio_tokens": 0,
            "reasoning_tokens": 0
        },
        "input_tokens": 0,
        "output_tokens": 0,
        "input_tokens_details": null,
        "claude_cache_creation_5_m_tokens": 0,
        "claude_cache_creation_1_h_tokens": 0
    }
}
Modified at 2026-01-15 13:13:10
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