glm-5-turbo

curl --request POST \
  --url https://api.powertokens.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "glm-5-turbo",
  "messages": [
    {
      "role": "system",
      "content": "You are a concise and professional assistant."
    },
    {
      "role": "user",
      "content": "Describe vector databases in three sentences."
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024
}
'

{
  "id": "chatcmpl_zhipu_123",
  "object": "chat.completion",
  "created": 1775174400,
  "model": "glm-5-turbo",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "A vector database is a data system designed to store and retrieve vector representations, commonly used for semantic search, recommendations, and RAG.",
        "reasoning_content": "Start with the definition, then add typical use cases."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 42,
    "completion_tokens": 31,
    "total_tokens": 73,
    "prompt_tokens_details": {
      "cached_tokens": 0
    }
  }
}

{
  "error": {
    "message": "messages is required",
    "type": "invalid_request_error",
    "param": "messages",
    "code": "bad_request_body"
  }
}

{
  "error": {
    "message": "Invalid token",
    "type": "api_error",
    "param": "",
    "code": "access_denied"
  }
}

{
  "error": {
    "message": "Insufficient account quota, please retry later",
    "type": "api_error",
    "code": "insufficient_user_quota",
    "param": ""
  }
}

{
  "error": {
    "message": "Internal processing failed, please retry later",
    "type": "api_error",
    "code": "gen_relay_info_failed",
    "param": ""
  }
}

{
  "error": {
    "message": "The model service returned an invalid response",
    "type": "api_error",
    "code": "bad_response_status_code",
    "param": ""
  }
}

{
  "error": {
    "message": "No available channel for the current model, please retry later",
    "type": "api_error",
    "code": "get_channel_failed",
    "param": ""
  }
}

POST

chat

completions

curl --request POST \
  --url https://api.powertokens.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "glm-5-turbo",
  "messages": [
    {
      "role": "system",
      "content": "You are a concise and professional assistant."
    },
    {
      "role": "user",
      "content": "Describe vector databases in three sentences."
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024
}
'

{
  "id": "chatcmpl_zhipu_123",
  "object": "chat.completion",
  "created": 1775174400,
  "model": "glm-5-turbo",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "A vector database is a data system designed to store and retrieve vector representations, commonly used for semantic search, recommendations, and RAG.",
        "reasoning_content": "Start with the definition, then add typical use cases."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 42,
    "completion_tokens": 31,
    "total_tokens": 73,
    "prompt_tokens_details": {
      "cached_tokens": 0
    }
  }
}

{
  "error": {
    "message": "messages is required",
    "type": "invalid_request_error",
    "param": "messages",
    "code": "bad_request_body"
  }
}

{
  "error": {
    "message": "Invalid token",
    "type": "api_error",
    "param": "",
    "code": "access_denied"
  }
}

{
  "error": {
    "message": "Insufficient account quota, please retry later",
    "type": "api_error",
    "code": "insufficient_user_quota",
    "param": ""
  }
}

{
  "error": {
    "message": "Internal processing failed, please retry later",
    "type": "api_error",
    "code": "gen_relay_info_failed",
    "param": ""
  }
}

{
  "error": {
    "message": "The model service returned an invalid response",
    "type": "api_error",
    "code": "bad_response_status_code",
    "param": ""
  }
}

{
  "error": {
    "message": "No available channel for the current model, please retry later",
    "type": "api_error",
    "code": "get_channel_failed",
    "param": ""
  }
}

Authorizations

Authorization

string

header

required

Pass Authorization: Bearer <token> in the request header.

Body

application/json

Zhipu Chat Completions request body.

model

enum<string>

required

Model name. Supported model: glm-5-turbo.

Available options:

glm-5-turbo

Example:

"glm-5-turbo"

messages

object[]

required

Message list. The request must contain at least one message that is not system or assistant; sending only system or only assistant messages will be rejected by the upstream provider.

Minimum array length: 1

Show child attributes

stream

boolean

default:true

Whether to enable streaming output. When true, the response is returned as text/event-stream.

thinking

object

Thinking mode configuration. Applicable to models that support the thinking parameter.

Show child attributes

temperature

number

default:1

Sampling temperature, range [0, 1].

Required range: 0 <= x <= 1

top_p

number

default:0.95

Nucleus sampling probability threshold, range [0.01, 1].

Required range: 0.01 <= x <= 1

max_tokens

integer

Maximum number of output tokens.

Required range: 1 <= x <= 131072

stop

string[]

Stop sequence list. Currently only a single stop sequence is supported.

Maximum array length: 1

tools

object[]

Tool definition list. Currently only function type tools are supported.

Maximum array length: 128

Show child attributes

tool_choice

enum<string>

default:auto

Tool selection strategy. The Zhipu API currently only exposes auto.

Available options:

auto

Response

Success. Non-streaming mode returns JSON; streaming mode returns an SSE event stream.

Non-streaming Chat Completions response.

string

Response ID.

object

string

Object type.

Example:

"chat.completion"

created

integer<int64>

Unix timestamp (seconds).

model

string

The model name actually used.

choices

object[]

Candidate results returned by the model.

Show child attributes

usage

object

Token usage statistics.

Show child attributes

glm-5.2

Image-01 Image to Image

Chat Models

Image Models

Video Models

Audio Models

asset library

Authorizations

Body

Response