跳转到主要内容
POST
/
v1
/
chat
/
completions
curl --request POST \
  --url https://toapis.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "glm-5",
    "messages": [
      {
        "role": "user",
        "content": "Hello, please introduce yourself"
      }
    ]
  }'

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1703884800,
  "model": "glm-5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! I'm GLM-5, a next-generation large language model developed by Zhipu AI. I feature strong reasoning capabilities and long-context understanding. How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 13,
    "completion_tokens": 40,
    "total_tokens": 53
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.toapis.com/llms.txt

Use this file to discover all available pages before exploring further.

  • OpenAI-compatible Chat Completions API
  • Select the glm-5 model via the model parameter
  • Supports streaming output (SSE)
  • Supports multi-turn conversation and system prompts
  • Text-only input; vision input (images) is not supported

​
Authorizations

​
Authorization
string
必填
All endpoints require Bearer Token authenticationGet your API Key from the API Key Management PageAdd to request header:
Authorization: Bearer YOUR_API_KEY

​
Body

​
model
string
默认值:"glm-5"
必填
Model nameExample: "glm-5"
​
messages
object[]
必填
List of conversation messages in chronological order
​
stream
boolean
默认值:false
Whether to enable streaming output (Server-Sent Events)
  • true: Stream tokens incrementally
  • false: Return the complete response at once
​
max_tokens
integer
Maximum number of tokens to generateUses the model’s default limit when not set
​
temperature
number
默认值:1
Sampling temperature, controls output randomness
  • Range: 0 to 2
  • Lower values produce more deterministic output; higher values produce more varied output
​
top_p
number
默认值:1
Nucleus sampling probability thresholdRange: 0 to 1. It is not recommended to modify both temperature and top_p at the same time
​
stop
string | string[]
Stop sequences — generation stops when these strings are encounteredMaximum 4 stop sequences

​
Response

​
id
string
Unique identifier for this request
​
object
string
Object type, always chat.completion
​
created
integer
Request creation timestamp (Unix)
​
model
string
The model that was actually used
​
choices
object[]
List of generated results
  • choices[].message.role: Message role, always assistant
  • choices[].message.content: Generated text content
  • choices[].finish_reason: Stop reason — stop / length / content_filter
  • choices[].index: Result index
​
usage
object
Token usage statistics for this request
  • usage.prompt_tokens: Input token count
  • usage.completion_tokens: Output token count
  • usage.total_tokens: Total token count
curl --request POST \
  --url https://toapis.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "glm-5",
    "messages": [
      {
        "role": "user",
        "content": "Hello, please introduce yourself"
      }
    ]
  }'

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1703884800,
  "model": "glm-5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! I'm GLM-5, a next-generation large language model developed by Zhipu AI. I feature strong reasoning capabilities and long-context understanding. How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 13,
    "completion_tokens": 40,
    "total_tokens": 53
  }
}