OpenAI Responses API with DeepFellow
DeepFellow supports the OpenAI Responses API at /v1/responses. If your application already uses the OpenAI SDK's responses.create() method, point it at your DeepFellow server and it will work without further changes.
Basic Usage
Replace the OpenAI base URL and API key with your DeepFellow server details.
curl -X POST 'https://deepfellow-server-host/v1/responses' \
-H 'Authorization: Bearer DEEPFELLOW-PROJECT-API-KEY' \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen3:8b",
"instructions": "You are a helpful assistant.",
"input": "Explain how AI works."
}'from openai import OpenAI
client = OpenAI(
api_key="DEEPFELLOW-PROJECT-API-KEY",
base_url="https://deepfellow-server-host/v1",
)
response = client.responses.create(
model="qwen3:8b",
instructions="You are a helpful assistant.",
input="Explain how AI works.",
)
print(response.output_text)import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'DEEPFELLOW-PROJECT-API-KEY',
baseURL: 'https://deepfellow-server-host/v1'
});
const response = await client.responses.create({
model: 'qwen3:8b',
instructions: 'You are a helpful assistant.',
input: 'Explain how AI works.'
});
console.log(response.output_text);Tools
The /v1/responses endpoint supports function calls, MCP servers, file search, image generation, and more. See Using Tools for full examples and configuration details.
Current Limitations
The following parameters are accepted for API compatibility but are not yet active:
stream— onlyfalseis supported; streaming is not yet availableprevious_response_id— multi-turn state via response chaining is not yet supportedtool_choice— the model always usesautoselection regardless of this valueservice_tier— has no effect; included for compatibility
Related Pages
- Secure OpenAI Inference with DeepFellow — use
/v1/chat/completionswith OpenAI models through DeepFellow's anonymization layer - API Reference: POST /v1/responses — full parameter and response schema reference
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