Thread API

This page provides api schemas and descriptions for Threads API methods.

Threads serve as conversation containers that store Messages exchanged between a user and an Assistant, maintaining context and continuity across interactions.

This page provides API schemas for the following methods:

Create a Thread	https://api.aimlapi.com/threads
Retrieve information about a specific Thread by its ID	https://api.aimlapi.com/threads/{threadId}
Modify a specific Thread by its ID	https://api.aimlapi.com/threads/{threadId}
Delete a specific Thread by its ID	https://api.aimlapi.com/threads/{threadId}

After each API schema, you'll find a short example demonstrating how to correctly call the described method in code using the OpenAI SDK.

Note that the method names in the API schema and the SDK often differ. Accordingly, when calling these methods via the REST API, you should use the names from the API schema, while for calls through the OpenAI SDK, use the names from the examples.

API Schemas

Create a Thread

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

Responses

default

application/json

post

/threads

HTTPcURLJavaScriptPython

POST /threads HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
Content-Type: application/json
Accept: */*
Content-Length: 432

{
  "messages": [
    {
      "role": "user",
      "content": "text",
      "attachments": [
        {
          "file_id": "text",
          "tools": [
            {
              "type": "code_interpreter"
            }
          ]
        }
      ],
      "metadata": {
        "ANY_ADDITIONAL_PROPERTY": "text"
      }
    }
  ],
  "metadata": {
    "ANY_ADDITIONAL_PROPERTY": "text"
  },
  "tool_resources": {
    "code_interpreter": {
      "file_ids": []
    },
    "file_search": {
      "vector_store_ids": [
        "text"
      ],
      "vector_stores": [
        {
          "chunking_strategy": {
            "type": "auto"
          },
          "file_ids": [
            "text"
          ],
          "metadata": {
            "ANY_ADDITIONAL_PROPERTY": "text"
          }
        }
      ]
    }
  }
}

default

{
  "id": "text",
  "created_at": 1,
  "metadata": null,
  "object": "thread",
  "tool_resources": {
    "code_interpreter": {
      "file_ids": [
        "text"
      ]
    },
    "file_search": {
      "vector_store_ids": [
        "text"
      ]
    }
  }
}

Python + OpenAI SDK Example:

from openai import OpenAI
client = OpenAI()

thread = client.beta.threads.create(
  messages=[
    {
      "role": "user",
      "content": "Create 3 data visualizations based on the trends in this file.",
      "attachments": [
        {
          "file_id": file.id,
          "tools": [{"type": "code_interpreter"}]
        }
      ]
    }
  ]
)        

---

Retrieve information about a specific Thread by its ID

get

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Path parameters

threadIdstringRequired

Responses

default

application/json

get

/threads/{threadId}

HTTPcURLJavaScriptPython

GET /threads/{threadId} HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*

default

{
  "id": "text",
  "created_at": 1,
  "metadata": null,
  "object": "thread",
  "tool_resources": {
    "code_interpreter": {
      "file_ids": [
        "text"
      ]
    },
    "file_search": {
      "vector_store_ids": [
        "text"
      ]
    }
  }
}

Python + OpenAI SDK Example:

from openai import OpenAI
client = OpenAI()

my_thread = client.beta.threads.retrieve("thread_abc123")
print(my_thread)

---

Modify a specific Thread by its ID

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Path parameters

threadIdstringRequired

Body

application/json

Responses

default

application/json

post

/threads/{threadId}

HTTPcURLJavaScriptPython

POST /threads/{threadId} HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
Content-Type: application/json
Accept: */*
Content-Length: 139

{
  "metadata": {
    "ANY_ADDITIONAL_PROPERTY": "text"
  },
  "tool_resources": {
    "code_interpreter": {
      "file_ids": []
    },
    "file_search": {
      "vector_store_ids": []
    }
  }
}

default

{
  "id": "text",
  "created_at": 1,
  "metadata": null,
  "object": "thread",
  "tool_resources": {
    "code_interpreter": {
      "file_ids": [
        "text"
      ]
    },
    "file_search": {
      "vector_store_ids": [
        "text"
      ]
    }
  }
}

Python + OpenAI SDK Example:

from openai import OpenAI
client = OpenAI()

my_updated_thread = client.beta.threads.update(
  "thread_abc123",
  metadata={
    "modified": "true",
    "user": "abc123"
  }
)
print(my_updated_thread)

---

Delete a specific Thread by its ID

delete

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Path parameters

threadIdstringRequired

Responses

default

application/json

delete

/threads/{threadId}

HTTPcURLJavaScriptPython

DELETE /threads/{threadId} HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*

default

{
  "id": "text",
  "object": "thread.deleted",
  "deleted": true
}

Python + OpenAI SDK Example:

from openai import OpenAI
client = OpenAI()

response = client.beta.threads.delete("thread_abc123")
print(response)