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Assistants (v1)
Legacy

Build assistants that can call models and use tools to perform tasks.source

Get started with the Assistants API source

Create assistant (v1)
Legacy

post https://api.openai.com/v1/assistants

Create an assistant with a model and instructions.source

Request body

model

stringsource

Required

ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them. type: stringsource

name

string or nullsource

Optional

The name of the assistant. The maximum length is 256 characters.source

description

string or nullsource

Optional

The description of the assistant. The maximum length is 512 characters.source

instructions

string or nullsource

Optional

The system instructions that the assistant uses. The maximum length is 256,000 characters.source

tools

arraysource

Optional

Defaults to []

A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types code_interpreter, retrieval, or function.source

file_ids

arraysource

Optional

Defaults to []

A list of file IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order.source

metadata

mapsource

Optional

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.source

temperature

number or nullsource

Optional

Defaults to 1

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.source

top_p

number or nullsource

Optional

Defaults to 1

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.source

We generally recommend altering this or temperature but not both.source

response_format

string or objectsource

Optional

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106.source

Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON.source

Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.source

Returns

An assistant object.source

Example request

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curl "https://api.openai.com/v1/assistants" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "OpenAI-Beta: assistants=v1" \
  -d '{
    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    "name": "Math Tutor",
    "tools": [{"type": "code_interpreter"}],
    "model": "gpt-4-turbo"
  }'

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from openai import OpenAI
client = OpenAI()

my_assistant = client.beta.assistants.create(
    instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    name="Math Tutor",
    tools=[{"type": "code_interpreter"}],
    model="gpt-4-turbo",
)
print(my_assistant)

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import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const myAssistant = await openai.beta.assistants.create({
    instructions:
      "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    name: "Math Tutor",
    tools: [{ type: "code_interpreter" }],
    model: "gpt-4-turbo",
  });

  console.log(myAssistant);
}

main();

Response

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{
  "id": "asst_abc123",
  "object": "assistant",
  "created_at": 1698984975,
  "name": "Math Tutor",
  "description": null,
  "model": "gpt-4-turbo",
  "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
  "tools": [
    {
      "type": "code_interpreter"
    }
  ],
  "file_ids": [],
  "metadata": {},
  "top_p": 1.0,
  "temperature": 1.0,
  "response_format": "auto"
}

Create assistant file (v1)
Legacy

post https://api.openai.com/v1/assistants/{assistant_id}/files

Create an assistant file by attaching a File to an assistant.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant for which to create a File.source

Request body

file_id

stringsource

Required

A File ID (with purpose="assistants") that the assistant should use. Useful for tools like retrieval and code_interpreter that can access files.source

Returns

An assistant file object.source

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123/files \
    -H 'Authorization: Bearer $OPENAI_API_KEY"' \
    -H 'Content-Type: application/json' \
    -H 'OpenAI-Beta: assistants=v1' \
    -d '{
      "file_id": "file-abc123"
    }'

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from openai import OpenAI
client = OpenAI()

assistant_file = client.beta.assistants.files.create(
  assistant_id="asst_abc123",
  file_id="file-abc123"
)
print(assistant_file)

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import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const myAssistantFile = await openai.beta.assistants.files.create(
    "asst_abc123",
    {
      file_id: "file-abc123"
    }
  );
  console.log(myAssistantFile);
}

main();

Response

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{
  "id": "file-abc123",
  "object": "assistant.file",
  "created_at": 1699055364,
  "assistant_id": "asst_abc123"
}

List assistants (v1)
Legacy

get https://api.openai.com/v1/assistants

Returns a list of assistants.source

Query parameters

limit

integersource

Optional

Defaults to 20

A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.source

order

stringsource

Optional

Defaults to desc

Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.source

after

stringsource

Optional

A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.source

before

stringsource

Optional

A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.source

Returns

A list of assistant objects.source

Example request

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curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "OpenAI-Beta: assistants=v1"

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from openai import OpenAI
client = OpenAI()

my_assistants = client.beta.assistants.list(
    order="desc",
    limit="20",
)
print(my_assistants.data)

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import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const myAssistants = await openai.beta.assistants.list({
    order: "desc",
    limit: "20",
  });

  console.log(myAssistants.data);
}

main();

Response

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{
  "object": "list",
  "data": [
    {
      "id": "asst_abc123",
      "object": "assistant",
      "created_at": 1698982736,
      "name": "Coding Tutor",
      "description": null,
      "model": "gpt-4-turbo",
      "instructions": "You are a helpful assistant designed to make me better at coding!",
      "tools": [],
      "file_ids": [],
      "metadata": {},
      "top_p": 1.0,
      "temperature": 1.0,
      "response_format": "auto"
    },
    {
      "id": "asst_abc456",
      "object": "assistant",
      "created_at": 1698982718,
      "name": "My Assistant",
      "description": null,
      "model": "gpt-4-turbo",
      "instructions": "You are a helpful assistant designed to make me better at coding!",
      "tools": [],
      "file_ids": [],
      "metadata": {},
      "top_p": 1.0,
      "temperature": 1.0,
      "response_format": "auto"
    },
    {
      "id": "asst_abc789",
      "object": "assistant",
      "created_at": 1698982643,
      "name": null,
      "description": null,
      "model": "gpt-4-turbo",
      "instructions": null,
      "tools": [],
      "file_ids": [],
      "metadata": {},
      "top_p": 1.0,
      "temperature": 1.0,
      "response_format": "auto"
    }
  ],
  "first_id": "asst_abc123",
  "last_id": "asst_abc789",
  "has_more": false
}

List assistant files (v1)
Legacy

get https://api.openai.com/v1/assistants/{assistant_id}/files

Returns a list of assistant files.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant the file belongs to.source

Query parameters

limit

integersource

Optional

Defaults to 20

A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.source

order

stringsource

Optional

Defaults to desc

Sort order by the created_at timestamp of the objects. asc for ascending order and desc for descending order.source

after

stringsource

Optional

A cursor for use in pagination. after is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo in order to fetch the next page of the list.source

before

stringsource

Optional

A cursor for use in pagination. before is an object ID that defines your place in the list. For instance, if you make a list request and receive 100 objects, ending with obj_foo, your subsequent call can include before=obj_foo in order to fetch the previous page of the list.source

Returns

A list of assistant file objects.source

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123/files \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v1"

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from openai import OpenAI
client = OpenAI()

assistant_files = client.beta.assistants.files.list(
  assistant_id="asst_abc123"
)
print(assistant_files)

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import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const assistantFiles = await openai.beta.assistants.files.list(
    "asst_abc123"
  );
  console.log(assistantFiles);
}

main();

Response

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{
  "object": "list",
  "data": [
    {
      "id": "file-abc123",
      "object": "assistant.file",
      "created_at": 1699060412,
      "assistant_id": "asst_abc123"
    },
    {
      "id": "file-abc456",
      "object": "assistant.file",
      "created_at": 1699060412,
      "assistant_id": "asst_abc123"
    }
  ],
  "first_id": "file-abc123",
  "last_id": "file-abc456",
  "has_more": false
}

Retrieve assistant (v1)
Legacy

get https://api.openai.com/v1/assistants/{assistant_id}

Retrieves an assistant.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant to retrieve.source

Returns

The assistant object matching the specified ID.source

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123 \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "OpenAI-Beta: assistants=v1"

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from openai import OpenAI
client = OpenAI()

my_assistant = client.beta.assistants.retrieve("asst_abc123")
print(my_assistant)

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import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const myAssistant = await openai.beta.assistants.retrieve(
    "asst_abc123"
  );

  console.log(myAssistant);
}

main();

Response

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{
  "id": "asst_abc123",
  "object": "assistant",
  "created_at": 1699009709,
  "name": "HR Helper",
  "description": null,
  "model": "gpt-4-turbo",
  "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
  "tools": [
    {
      "type": "retrieval"
    }
  ],
  "file_ids": [
    "file-abc123"
  ],
  "metadata": {}
}

Retrieve assistant file (v1)
Legacy

get https://api.openai.com/v1/assistants/{assistant_id}/files/{file_id}

Retrieves an AssistantFile.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant who the file belongs to.source

file_id

stringsource

Required

The ID of the file we're getting.source

Returns

The assistant file object matching the specified ID.source

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123/files/file-abc123 \
  -H 'Authorization: Bearer $OPENAI_API_KEY"' \
  -H 'Content-Type: application/json' \
  -H 'OpenAI-Beta: assistants=v1'

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from openai import OpenAI
client = OpenAI()

assistant_file = client.beta.assistants.files.retrieve(
  assistant_id="asst_abc123",
  file_id="file-abc123"
)
print(assistant_file)

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import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const myAssistantFile = await openai.beta.assistants.files.retrieve(
    "asst_abc123",
    "file-abc123"
  );
  console.log(myAssistantFile);
}

main();

Response

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{
  "id": "file-abc123",
  "object": "assistant.file",
  "created_at": 1699055364,
  "assistant_id": "asst_abc123"
}

Modify assistant (v1)
Legacy

post https://api.openai.com/v1/assistants/{assistant_id}

Modifies an assistant.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant to modify.source

Request body

model

Optional

ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them. type: stringsource

name

string or nullsource

Optional

The name of the assistant. The maximum length is 256 characters.source

description

string or nullsource

Optional

The description of the assistant. The maximum length is 512 characters.source

instructions

string or nullsource

Optional

The system instructions that the assistant uses. The maximum length is 256,000 characters.source

tools

arraysource

Optional

Defaults to []

A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types code_interpreter, retrieval, or function.source

file_ids

arraysource

Optional

Defaults to []

A list of File IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order. If a file was previously attached to the list but does not show up in the list, it will be deleted from the assistant.source

metadata

mapsource

Optional

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.source

temperature

number or nullsource

Optional

Defaults to 1

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.source

top_p

number or nullsource

Optional

Defaults to 1

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.source

We generally recommend altering this or temperature but not both.source

response_format

string or objectsource

Optional

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106.source

Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON.source

Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.source

Returns

The modified assistant object.source

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123 \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "OpenAI-Beta: assistants=v1" \
  -d '{
      "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
      "tools": [{"type": "retrieval"}],
      "model": "gpt-4-turbo",
      "file_ids": ["file-abc123", "file-abc456"]
    }'

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from openai import OpenAI
client = OpenAI()

my_updated_assistant = client.beta.assistants.update(
  "asst_abc123",
  instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
  name="HR Helper",
  tools=[{"type": "retrieval"}],
  model="gpt-4-turbo",
  file_ids=["file-abc123", "file-abc456"],
)

print(my_updated_assistant)

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import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const myUpdatedAssistant = await openai.beta.assistants.update(
    "asst_abc123",
    {
      instructions:
        "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
      name: "HR Helper",
      tools: [{ type: "retrieval" }],
      model: "gpt-4-turbo",
      file_ids: [
        "file-abc123",
        "file-abc456",
      ],
    }
  );

  console.log(myUpdatedAssistant);
}

main();

Response

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{
  "id": "asst_abc123",
  "object": "assistant",
  "created_at": 1699009709,
  "name": "HR Helper",
  "description": null,
  "model": "gpt-4-turbo",
  "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
  "tools": [
    {
      "type": "retrieval"
    }
  ],
  "file_ids": [
    "file-abc123",
    "file-abc456"
  ],
  "metadata": {},
  "top_p": 1.0,
  "temperature": 1.0,
  "response_format": "auto"
}

Delete assistant (v1)
Legacy

delete https://api.openai.com/v1/assistants/{assistant_id}

Delete an assistant.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant to delete.source

Returns

Deletion statussource

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123 \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "OpenAI-Beta: assistants=v1" \
  -X DELETE

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from openai import OpenAI
client = OpenAI()

response = client.beta.assistants.delete("asst_abc123")
print(response)

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import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const response = await openai.beta.assistants.del("asst_abc123");

  console.log(response);
}
main();

Response

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{
  "id": "asst_abc123",
  "object": "assistant.deleted",
  "deleted": true
}

Delete assistant file (v1)
Legacy

delete https://api.openai.com/v1/assistants/{assistant_id}/files/{file_id}

Delete an assistant file.source

Path parameters

assistant_id

stringsource

Required

The ID of the assistant that the file belongs to.source

file_id

stringsource

Required

The ID of the file to delete.source

Returns

Deletion statussource

Example request

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curl https://api.openai.com/v1/assistants/asst_abc123/files/file-abc123 \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "OpenAI-Beta: assistants=v1" \
  -X DELETE

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from openai import OpenAI
client = OpenAI()

deleted_assistant_file = client.beta.assistants.files.delete(
    assistant_id="asst_abc123",
    file_id="file-abc123"
)
print(deleted_assistant_file)

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import OpenAI from "openai";
const openai = new OpenAI();

async function main() {
  const deletedAssistantFile = await openai.beta.assistants.files.del(
    "asst_abc123",
    "file-abc123"
  );
  console.log(deletedAssistantFile);
}

main();

Response

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{
  id: "file-abc123",
  object: "assistant.file.deleted",
  deleted: true
}

The assistant object (v1)
Legacy

Represents an assistant that can call the model and use tools.source

id

stringsource

The identifier, which can be referenced in API endpoints.source

object

stringsource

The object type, which is always assistant.source

created_at

integersource

The Unix timestamp (in seconds) for when the assistant was created.source

name

string or nullsource

The name of the assistant. The maximum length is 256 characters.source

description

string or nullsource

The description of the assistant. The maximum length is 512 characters.source

model

ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them. type: stringsource

instructions

string or nullsource

The system instructions that the assistant uses. The maximum length is 256,000 characters.source

tools

arraysource

A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types code_interpreter, retrieval, or function.source

file_ids

arraysource

A list of file IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order.source

metadata

mapsource

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.source

temperature

number or nullsource

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.source

top_p

number or nullsource

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.source

We generally recommend altering this or temperature but not both.source

response_format

string or objectsource

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106.source

Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON.source

Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.source

OBJECT The assistant object (v1)

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{
  "id": "asst_abc123",
  "object": "assistant",
  "created_at": 1698984975,
  "name": "Math Tutor",
  "description": null,
  "model": "gpt-4-turbo",
  "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
  "tools": [
    {
      "type": "code_interpreter"
    }
  ],
  "file_ids": [],
  "metadata": {},
  "top_p": 1.0,
  "temperature": 1.0,
  "response_format": "auto"
}

The assistant file object (v1)
Legacy

A list of Files attached to an assistant.source

id

stringsource

The identifier, which can be referenced in API endpoints.source

object

stringsource

The object type, which is always assistant.file.source

created_at

integersource

The Unix timestamp (in seconds) for when the assistant file was created.source

assistant_id

stringsource

The assistant ID that the file is attached to.source

OBJECT The assistant file object (v1)

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{
  "id": "file-abc123",
  "object": "assistant.file",
  "created_at": 1699055364,
  "assistant_id": "asst_abc123"
}

Assistants (v1)Legacy

Create assistant (v1)Legacy

Request body

Returns

Create assistant file (v1)Legacy

Path parameters

Request body

Returns

List assistants (v1)Legacy

Query parameters

Returns

List assistant files (v1)Legacy

Path parameters

Query parameters

Returns

Retrieve assistant (v1)Legacy

Path parameters

Returns

Retrieve assistant file (v1)Legacy

Path parameters

Returns

Modify assistant (v1)Legacy

Path parameters

Request body

Returns

Delete assistant (v1)Legacy

Path parameters

Returns

Delete assistant file (v1)Legacy

Path parameters

Returns

The assistant object (v1)Legacy

The assistant file object (v1)Legacy

Assistants (v1)
Legacy

Create assistant (v1)
Legacy

Create assistant file (v1)
Legacy

List assistants (v1)
Legacy

List assistant files (v1)
Legacy

Retrieve assistant (v1)
Legacy

Retrieve assistant file (v1)
Legacy

Modify assistant (v1)
Legacy

Delete assistant (v1)
Legacy

Delete assistant file (v1)
Legacy

The assistant object (v1)
Legacy

The assistant file object (v1)
Legacy