Zhipu AI

opencollection: 1.0.0
info:
  name: Z.AI API
  version: 1.0.0
request:
  auth:
    type: bearer
    token: '{{bearerToken}}'
items:
- info:
    name: Default
    type: folder
  items:
  - info:
      name: POST /paas/v4/chat/completions
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/chat/completions
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: Create a chat completion model that generates AI replies for given conversation messages. It supports multimodal
      inputs (text, images, audio, video, file), offers configurable parameters (like temperature, max tokens, tool use),
      and supports both streaming and non-streaming output modes.
  - info:
      name: POST /paas/v4/videos/generations
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/videos/generations
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: 'CogVideoX is a video generation large model developed by Z.AI, equipped with powerful video generation capabilities.
      Simply inputting text or images allows for effortless video creation.


      Vidu: A high-performance video large model that combines high consistency and high dynamism, with precise semantic understanding
      and exceptional reasoning speed.'
  - info:
      name: GET /paas/v4/async-result/{id}
      type: http
    http:
      method: GET
      url: https://api.z.ai/api/paas/v4/async-result/:id
      headers:
      - name: Accept-Language
        value: ''
      params:
      - name: id
        value: ''
        type: path
    docs: This endpoint is used to query the result of an asynchronous request.
  - info:
      name: Generate Image
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/images/generations
      body:
        type: json
        data: '{}'
    docs: Use [GLM-Image](/guides/image/glm-image) series models to generate high-quality images from text prompts. Through
      quick and accurate understanding of user text descriptions, `AI` image expression becomes more precise and personalized.
  - info:
      name: Generate Image (Async)
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/async/images/generations
      body:
        type: json
        data: '{}'
    docs: Use the [GLM-Image](/guides/image/glm-image) series models to generate high-quality images from text prompts. Through
      quick and accurate understanding of user text descriptions, `AI` image expression becomes more precise and personalized.
      Only supports `GLM-Image` model.
  - info:
      name: Speech to Text
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/audio/transcriptions
      body:
        type: multipart-form
        data: []
    docs: Use the [GLM-ASR-2512](/guides/audio/glm-asr-2512) model to transcribe audio files into text, supporting multiple
      languages and real-time streaming transcription.
  - info:
      name: Text Tokenizer
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/tokenizer
      body:
        type: json
        data: '{}'
    docs: '`Tokenizer` is used to split text into `tokens` recognizable by the model and calculate the count. It receives
      user input text, processes it through the model for tokenization, and finally returns the corresponding `token` count.
      It is suitable for text length evaluation, model input estimation, dialogue context truncation, cost calculation, etc.'
  - info:
      name: Layout Parsing
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/layout_parsing
      body:
        type: json
        data: '{}'
    docs: Use the [GLM-OCR](/guides/vlm/glm-ocr) model to parse the layout of documents and images and extract text content.
      Support OCR recognition of images and PDF documents, returning detailed layout information and visualization results.
  - info:
      name: POST /paas/v4/web_search
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/web_search
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: The [Web Search](/guides/tools/web-search) is a specialized search engine for large language models. Building upon
      traditional search engine capabilities like web crawling and ranking, it enhances intent recognition to return results
      better suited for LLM processing (including webpage titles, URLs, summaries, site names, favicons etc.).
  - info:
      name: POST /paas/v4/files
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/files
      body:
        type: multipart-form
        data:
        - name: purpose
          type: text
          value: ''
        - name: file
          type: text
          value: ''
    docs: This API is designed for uploading auxiliary files (such as glossaries, terminology lists) to support the translation
      service. It allows users to upload reference materials that can enhance translation accuracy and consistency.
  - info:
      name: POST /v1/agents
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/v1/agents
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: 'General Translation: General Translation API provides large model-based multilingual translation services, including
      general translation, paraphrase translation, two-step translation, and three-pass translation strategies. It supports
      automatic language detection, glossary customization, translation suggestions, and streaming output. Users only need
      to call the Translation API, input the text to be processed, specify the source language (auto-detection supported)
      and target language to receive h'
  - info:
      name: POST /v1/agents/async-result
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/v1/agents/async-result
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: This endpoint is used to query the result of an asynchronous request.
  - info:
      name: POST /v1/agents/conversation
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/v1/agents/conversation
      headers:
      - name: Accept-Language
        value: ''
      body:
        type: json
        data: '{}'
    docs: This endpoint is used to query the agent conversation history.Only support slides_glm_agent
- info:
    name: Tools API
    type: folder
  items:
  - info:
      name: Web Reader
      type: http
    http:
      method: POST
      url: https://api.z.ai/api/paas/v4/reader
      body:
        type: json
        data: '{}'
    docs: Reads and parses the content of the specified URL. Supports selectable return formats, cache control, image retention,
      and summary options.
bundled: true