deepseek

Call the DeepSeek API (deepseek-v4-pro, deepseek-v4-flash) through RunAPI using the official OpenAI SDK, Anthropic SDK, or compatible clients. Use when the user asks for DeepSeek chat, streaming completions, Anthropic Messages compatibility, Gemini contents compatibility, or when they want to point an existing LLM SDK setup at RunAPI as the base URL.

DeepSeek on RunAPI

DeepSeek on RunAPI exposes OpenAI-compatible Chat Completions and Anthropic-compatible Messages. Use the OpenAI SDK for most integrations, or point Anthropic-compatible clients at https://runapi.ai when the existing application already speaks /v1/messages.

Setup

dotenv

OPENAI_API_KEY=YOUR_RUNAPI_TOKEN
OPENAI_BASE_URL=https://runapi.ai/v1

Get a RunAPI API Key at https://runapi.ai/api_keys.

OpenAI-compatible setup

python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_RUNAPI_TOKEN",
    base_url="https://runapi.ai/v1",
)

typescript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_RUNAPI_TOKEN",
  baseURL: "https://runapi.ai/v1",
});

Core recipe - Chat Completions

python

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Explain vector databases simply."}],
)
print(response.choices[0].message.content)
print(response.usage)

typescript

const response = await client.chat.completions.create({
  model: "deepseek-v4-pro",
  messages: [{ role: "user", content: "Explain vector databases simply." }],
});

bash

curl -X POST "https://runapi.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [{"role": "user", "content": "Hello, DeepSeek!"}]
  }'

Streaming

python

stream = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Write a concise release note."}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

Streaming runs through a regional edge proxy so the request does not hold a Rails/Puma thread. Long generations should always stream.

Anthropic Messages compatibility

python

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_RUNAPI_TOKEN",
    base_url="https://runapi.ai",
)

message = client.messages.create(
    model="deepseek-v4-pro",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Draft a migration checklist."}],
)
print(message.content[0].text)

bash

curl -X POST "https://runapi.ai/v1/messages" \
  -H "x-api-key: YOUR_RUNAPI_TOKEN" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Summarize this incident."}]
  }'

max_tokens is required for Anthropic-compatible requests.

Gemini contents compatibility

bash

curl -X POST \
  "https://runapi.ai/v1beta/models/deepseek-v4-flash:streamGenerateContent" \
  -H "x-goog-api-key: YOUR_RUNAPI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      { "role": "user", "parts": [{ "text": "Write a short product FAQ." }] }
    ]
  }'

Use this path only when the caller already expects Gemini contents streaming. RunAPI bridges this client shape to DeepSeek's OpenAI-compatible chat request format. For new app code, prefer the OpenAI-compatible setup.

List models

bash

curl https://runapi.ai/v1/models \
  -H "Authorization: Bearer YOUR_RUNAPI_TOKEN"

Supported models

Model ID	Use when
deepseek-v4-pro	Higher quality DeepSeek chat and reasoning tasks
deepseek-v4-flash	Fast DeepSeek chat

References

• Model overview, pricing, and rate limits: https://runapi.ai/models/deepseek.md
• Provider comparison: https://runapi.ai/providers/deepseek.md
• Catalog: https://runapi.ai/models.md

Agent rules

• Keep API keys in OPENAI_API_KEY, ANTHROPIC_API_KEY, RUNAPI_TOKEN, or a secret manager; never inline them in commits or shell history.
• Default new integrations to the OpenAI-compatible client at https://runapi.ai/v1.
• Use streaming for responses longer than a few hundred tokens.
• For pricing, rate-limit, and commercial-usage answers, link to https://runapi.ai/models/deepseek.md rather than copying values.