Create a response

Create a model response. Optionally reference a previous response by ID to continue a multi-turn conversation with server-managed state, instead of resending the full message history.

POST /responses

Generate a model response.

Request body

Content Type: application/json

CreateResponse

Response

HTTP 200 — OK

Content Type: application/json

Response

Content Type: text/event-stream

ResponseStreamEvent

python
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://api.meta.ai/v1",
    api_key=os.environ["MODEL_API_KEY"],
)
response = client.responses.create(
    model="muse-spark-1.3",
    input="What is the capital of France?",
)
print(response.model_dump_json(indent=2))

python
import json
import os
import requests
response = requests.post(
    "https://api.meta.ai/v1/responses",
    headers={
        "Authorization": f"Bearer {os.environ['MODEL_API_KEY']}",
        "Content-Type": "application/json",
    },
    json={
        "model": "muse-spark-1.3",
        "input": "What is the capital of France?",
    },
)
response.raise_for_status()
print(json.dumps(response.json(), indent=2))

shell
curl -X POST "https://api.meta.ai/v1/responses" \
  -H "Authorization: Bearer $MODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "muse-spark-1.3",
  "input": "What is the capital of France?"
}'

For usage examples, previous_response_id patterns, and guidance on when to use the Responses API versus Chat Completions, see the Responses feature page.

Create a response

Create a model response. Optionally reference a previous response by ID to continue a multi-turn conversation with server-managed state, instead of resending the full message history.

python
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://api.meta.ai/v1",
    api_key=os.environ["MODEL_API_KEY"],
)
response = client.responses.create(
    model="muse-spark-1.3",
    input="What is the capital of France?",
)
print(response.model_dump_json(indent=2))

python
import json
import os
import requests
response = requests.post(
    "https://api.meta.ai/v1/responses",
    headers={
        "Authorization": f"Bearer {os.environ['MODEL_API_KEY']}",
        "Content-Type": "application/json",
    },
    json={
        "model": "muse-spark-1.3",
        "input": "What is the capital of France?",
    },
)
response.raise_for_status()
print(json.dumps(response.json(), indent=2))

shell
curl -X POST "https://api.meta.ai/v1/responses" \
  -H "Authorization: Bearer $MODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "muse-spark-1.3",
  "input": "What is the capital of France?"
}'

For usage examples, previous_response_id patterns, and guidance on when to use the Responses API versus Chat Completions, see the Responses feature page.

Create a response

POST /responses

Request body

Content Type: application/json

Response

Content Type: application/json

Content Type: text/event-stream

Please confirm your identity

Create a response

POST /responses

Request body

Content Type: application/json

Response

Content Type: application/json

Content Type: text/event-stream

Please confirm your identity