Batch Endpoints

Batch API

Get Batch Jobs

GET /v1/batch/jobs#

Get a list of batch jobs for your organization and user.

200

data#

array<BatchJob>

object#

string

Default Value: "list"

total#

*integer

Playground

Test the endpoints live

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.list({});

  console.log(result);
}

run();

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.list({});

  console.log(result);
}

run();

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.list(page=0, page_size=100, created_by_me=False, order_by="-created")

    # Handle response
    print(res)

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.list(page=0, page_size=100, created_by_me=False, order_by="-created")

    # Handle response
    print(res)

curl https://api.mistral.ai/v1/batch/jobs \
 -X GET \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE'

curl https://api.mistral.ai/v1/batch/jobs \
 -X GET \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE'

200

{
  "total": 87
}

{
  "total": 87
}

Create Batch Job

POST /v1/batch/jobs#

Create a new batch job, it will be queued for processing.

agent_id#

string|null

In case you want to use a specific agent from the deprecated agents api for batch inference, you can specify the agent ID here.

endpoint#

input_files#

array<string>|null

A list of .jsonl files for batch inference. Each line must be a JSON object with a body field containing the request payload:

\{"custom_id": "0", "body": \{"max_tokens": 100, "messages": [\{"role": "user", "content": "What is the best French cheese?"\}]\}\}
\{"custom_id": "1", "body": \{"max_tokens": 100, "messages": [\{"role": "user", "content": "What is the best French wine?"\}]\}\}

\{"custom_id": "0", "body": \{"max_tokens": 100, "messages": [\{"role": "user", "content": "What is the best French cheese?"\}]\}\}
\{"custom_id": "1", "body": \{"max_tokens": 100, "messages": [\{"role": "user", "content": "What is the best French wine?"\}]\}\}

metadata#

map<string>|null

The metadata of your choice to be associated with the batch inference job.

model#

string|null

The model to be used for batch inference.

requests#

array<BatchRequest>|null

timeout_hours#

integer

Default Value: 24

The timeout in hours for the batch inference job.

200

agent_id#

string|null

completed_at#

integer|null

completed_requests#

*integer

created_at#

*integer

endpoint#

*string

error_file#

string|null

errors#

*array<BatchError>

failed_requests#

*integer

id#

*string

input_files#

*array<string>

metadata#

map<any>|null

model#

string|null

object#

string

Default Value: "batch"

output_file#

string|null

outputs#

array<map<any>>|null

started_at#

integer|null

status#

succeeded_requests#

*integer

total_requests#

*integer

Playground

Test the endpoints live

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.create({
    endpoint: "/v1/moderations",
    model: "mistral-small-latest",
  });

  console.log(result);
}

run();

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.create({
    endpoint: "/v1/moderations",
    model: "mistral-small-latest",
  });

  console.log(result);
}

run();

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.create(endpoint="/v1/moderations", model="mistral-small-latest", timeout_hours=24)

    # Handle response
    print(res)

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.create(endpoint="/v1/moderations", model="mistral-small-latest", timeout_hours=24)

    # Handle response
    print(res)

curl https://api.mistral.ai/v1/batch/jobs \
 -X POST \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json' \
 -d '{
  "endpoint": "/v1/chat/completions"
}'

curl https://api.mistral.ai/v1/batch/jobs \
 -X POST \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json' \
 -d '{
  "endpoint": "/v1/chat/completions"
}'

200

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

Get Batch Job

GET /v1/batch/jobs/{job_id}#

Get a batch job details by its UUID.

Args: inline: If True, return results inline in the response.

200

agent_id#

string|null

completed_at#

integer|null

completed_requests#

*integer

created_at#

*integer

endpoint#

*string

error_file#

string|null

errors#

*array<BatchError>

failed_requests#

*integer

id#

*string

input_files#

*array<string>

metadata#

map<any>|null

model#

string|null

object#

string

Default Value: "batch"

output_file#

string|null

outputs#

array<map<any>>|null

started_at#

integer|null

status#

succeeded_requests#

*integer

total_requests#

*integer

Playground

Test the endpoints live

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.get({
    jobId: "4017dc9f-b629-42f4-9700-8c681b9e7f0f",
  });

  console.log(result);
}

run();

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.get({
    jobId: "4017dc9f-b629-42f4-9700-8c681b9e7f0f",
  });

  console.log(result);
}

run();

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.get(job_id="4017dc9f-b629-42f4-9700-8c681b9e7f0f")

    # Handle response
    print(res)

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.get(job_id="4017dc9f-b629-42f4-9700-8c681b9e7f0f")

    # Handle response
    print(res)

curl https://api.mistral.ai/v1/batch/jobs/{job_id} \
 -X GET \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE'

curl https://api.mistral.ai/v1/batch/jobs/{job_id} \
 -X GET \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE'

200

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

Delete Batch Job

DELETE /v1/batch/jobs/{job_id}#

Request the deletion of a batch job.

200

deleted#

boolean

Default Value: true

id#

*string

object#

string

Default Value: "batch"

Playground

Test the endpoints live

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.delete({
    jobId: "d9e71426-5791-49ad-b8d1-cf0d90d1b7d0",
  });

  console.log(result);
}

run();

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.delete({
    jobId: "d9e71426-5791-49ad-b8d1-cf0d90d1b7d0",
  });

  console.log(result);
}

run();

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.delete(job_id="d9e71426-5791-49ad-b8d1-cf0d90d1b7d0")

    # Handle response
    print(res)

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.delete(job_id="d9e71426-5791-49ad-b8d1-cf0d90d1b7d0")

    # Handle response
    print(res)

curl https://api.mistral.ai/v1/batch/jobs/{job_id} \
 -X DELETE \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json'

curl https://api.mistral.ai/v1/batch/jobs/{job_id} \
 -X DELETE \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json'

200

{
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}

{
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088"
}

Cancel Batch Job

POST /v1/batch/jobs/{job_id}/cancel#

Request the cancellation of a batch job.

200

agent_id#

string|null

completed_at#

integer|null

completed_requests#

*integer

created_at#

*integer

endpoint#

*string

error_file#

string|null

errors#

*array<BatchError>

failed_requests#

*integer

id#

*string

input_files#

*array<string>

metadata#

map<any>|null

model#

string|null

object#

string

Default Value: "batch"

output_file#

string|null

outputs#

array<map<any>>|null

started_at#

integer|null

status#

succeeded_requests#

*integer

total_requests#

*integer

Playground

Test the endpoints live

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.cancel({
    jobId: "4fb29d1c-535b-4f0a-a1cb-2167f86da569",
  });

  console.log(result);
}

run();

import { Mistral } from "@mistralai/mistralai";

const mistral = new Mistral({
  apiKey: "MISTRAL_API_KEY",
});

async function run() {
  const result = await mistral.batch.jobs.cancel({
    jobId: "4fb29d1c-535b-4f0a-a1cb-2167f86da569",
  });

  console.log(result);
}

run();

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.cancel(job_id="4fb29d1c-535b-4f0a-a1cb-2167f86da569")

    # Handle response
    print(res)

from mistralai.client import Mistral
import os


with Mistral(
    api_key=os.getenv("MISTRAL_API_KEY", ""),
) as mistral:

    res = mistral.batch.jobs.cancel(job_id="4fb29d1c-535b-4f0a-a1cb-2167f86da569")

    # Handle response
    print(res)

curl https://api.mistral.ai/v1/batch/jobs/{job_id}/cancel \
 -X POST \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json'

curl https://api.mistral.ai/v1/batch/jobs/{job_id}/cancel \
 -X POST \
 -H 'Authorization: Bearer YOUR_APIKEY_HERE' \
 -H 'Content-Type: application/json'

200

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

{
  "completed_requests": "10",
  "created_at": 14,
  "endpoint": "/v1/chat/completions",
  "errors": [
    {
      "message": "Example message."
    }
  ],
  "failed_requests": "0",
  "id": "019b2bd7-96e7-7219-8c0b-45a73da50088",
  "input_files": [
    "019b2bd7-96e7-7219-8c0b-45a73da50088"
  ],
  "status": "QUEUED",
  "succeeded_requests": "10",
  "total_requests": "10"
}

Batch Endpoints

Examples

GET /v1/batch/jobs#

data#

object#

total#

Playground

POST /v1/batch/jobs#

Request Body#

agent_id#

endpoint#

input_files#

metadata#

model#

requests#

timeout_hours#

agent_id#

completed_at#

completed_requests#

created_at#

endpoint#

error_file#

errors#

failed_requests#

id#

input_files#

metadata#

model#

object#

output_file#

outputs#

started_at#

status#

succeeded_requests#

total_requests#

Playground

GET /v1/batch/jobs/{job_id}#

Parameters#

job_id#

inline#

agent_id#

completed_at#

completed_requests#

created_at#

endpoint#

error_file#

errors#

failed_requests#

id#

input_files#

metadata#

model#

object#

output_file#

outputs#

started_at#

status#

succeeded_requests#

total_requests#

Playground

DELETE /v1/batch/jobs/{job_id}#

Parameters#

job_id#

deleted#

id#

object#

Playground

POST /v1/batch/jobs/{job_id}/cancel#

Parameters#

job_id#

agent_id#

completed_at#

completed_requests#

created_at#

endpoint#

error_file#

errors#

failed_requests#

id#

input_files#