deepseeklisted

# DeepSeek on RunAPI Use OpenAI-compatible endpoints at `https://runapi.ai/v1` as the primary protocol. ## Primary protocol recipe ### Authenticate Set `OPENAI_API_KEY` to a RunAPI API key and `OPENAI_BASE_URL` to `https://runapi.ai/v1`. ### Send request ```python from openai import OpenAI client = OpenAI(api_key="YOUR_RUNAPI_TOKEN", base_url="https://runapi.ai/v1") response = client.chat.completions.create( model="deepseek-v4-pro", messages=[{"role": "user", "content": "Explain this decision."}], ) print(response.choices[0].message.content) print(response.usage) ``` For long output, set `stream=True` and `stream_options={"include_usage": True}`; consume through `[DONE]`. `deepseek-v4-flash` additionally supports one custom function on Responses; keep automatic tool selection and one serial call/result lifecycle. For image input, use `deepseek-v4-flash-vision-exp` with a Chat Completions message content array containing a text part and an `image_url` part. The image URL must be publicly reachable and use JPEG, PNG, GIF, or WebP. ### Verify result For Chat, require final assistant content, `finish_reason`, and `usage`. For Responses, require final output, one usage-bearing `response.completed`, and `[DONE]` when streaming. ### Stop boundaries Correct a rejected shape once using the structured error. Retry transport once only before any response or Usage and when replay is safe. Record a terminal error and stop without changing model or protocol. Add tools,