runapi-ai 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
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, reasoning, storage, cache controls, documents, or multimodal input only when the current RunAPI contract verifies the exact model/protocol shape.
Compatibility protocols
Load compatibility protocols only when an existing client requires Anthropic Messages or Gemini contents.
Supported models
| Model ID | Use when |
|---|---|
deepseek-v4-flash-vision-exp |
Image input and vision tasks |
deepseek-v4-pro |
Higher-quality verified text workloads |
deepseek-v4-flash |
Fast text and one verified custom-function lifecycle |