O n e A P I . A l w a y s o n . Aggregate multiple AI providers under the hood. Smart routing auto-switches on failure. You call once — we handle the rest.

CCAPI — Unified Multimodal AI API Gateway

CCAPI provides OpenAI-compatible access to 60+ AI models across 4 modalities through a single API endpoint. No new SDK needed — works with OpenAI Python/Node.js SDK.

Quick Start

Base URL: https://api.ccapi.ai/v1 Auth: Authorization: Bearer

Get your API key at https://ccapi.ai/dashboard

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(
    api_key="your-ccapi-key",
    base_url="https://api.ccapi.ai/v1"
)
Text generation
response = client.chat.completions.create(
    model="openai/gpt-5.2",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Node.js (OpenAI SDK)

import OpenAI from "openai"
const client = new OpenAI({
  apiKey: "your-ccapi-key",
  baseURL: "https://api.ccapi.ai/v1",
})
const response = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-4-6",
  messages: [{ role: "user", content: "Hello!" }],
})

cURL

curl https://api.ccapi.ai/v1/chat/completions \
  -H "Authorization: Bearer your-ccapi-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Available Models

Model IDs use provider/model-id format.

Text (LLM)

| Model ID | Context | Notes | | ----------------------------- | ------- | ------------------------- | | openai/gpt-5.2 | 1M | Latest OpenAI flagship | | openai/gpt-5-mini | 1M | Fast & affordable | | openai/gpt-5-nano | 1M | Ultra-low cost | | openai/gpt-4.1 | 1M | Strong reasoning | | openai/gpt-4.1-mini | 1M | Balanced performance | | openai/gpt-4o | 128K | Multimodal | | openai/gpt-4o-mini | 128K | Cost-effective | | anthropic/claude-opus-4-6 | 200K | Most capable Claude | | anthropic/claude-sonnet-4-6 | 200K | Best value Claude | | anthropic/claude-haiku-4-5 | 200K | Fastest Claude | | google/gemini-2.5-pro | 1M | Google flagship | | google/gemini-2.5-flash | 1M | Fast Gemini | | deepseek/deepseek-chat | 64K | DeepSeek V3.2 | | zhipu/glm-5 | 128K | 744B MoE, top Chinese LLM | | openrouter/minimax-m2.5 | 1M | SWE-bench 80.2% |

Image Generation

| Model ID | Notes | | ------------------------ | ---------------------- | | google/nano-banana | Gemini Flash image gen | | google/nano-banana-pro | Gemini Pro image gen |

Video Generation

| Model ID | Resolution | Duration | Notes | | ----------------------------- | -------------- | ------------------ | ------------------------- | | bytedance/seedance-2.0 | 2K@24fps | 4-10s | Text/image/video to video | | kuaishou/kling-3.0-standard | Up to 4K | 5-10s | Standard quality | | kuaishou/kling-3.0-pro | Up to 4K@60fps | 5-10s | Professional quality | | openai/sora-2 | 1080p | 5-25s | Physics simulation | | openai/sora-2-pro | 1080p | 5-25s | Higher quality | | google/veo-3.1 | 1080p | Per-second pricing | Google video gen |

Audio / Music

| Model ID | Notes | | ---------------- | ---------------- | | suno/chirp-v5 | Music generation | | elevenlabs/tts | Text-to-speech |

API Endpoints

Text Generation (Chat Completions)

POST /v1/chat/completions

Supports streaming (stream: true), function calling, vision (image URLs in messages), and all OpenAI-compatible parameters.

Image Generation

POST /v1/images/generations

{
  "model": "google/nano-banana",
  "prompt": "A futuristic cityscape at sunset",
  "n": 1,
  "size": "1024x1024"
}

Video Generation (Async)

Create video task:

POST /v1/video/generations

{
  "model": "bytedance/seedance-2.0",
  "prompt": "A cat playing piano in a jazz bar",
  "duration": 5
}

Response includes a task_id. Poll for results:

GET /v1/video/generations/{task_id}

Audio (Text-to-Speech)

POST /v1/audio/speech

{
  "model": "elevenlabs/tts",
  "input": "Hello, world!",
  "voice": "alloy"
}

Music Generation (Suno)

POST /v1/audio/suno/generate

{
  "model": "suno/chirp-v5",
  "prompt": "An upbeat electronic track with synth leads",
  "duration": 30
}

Model Discovery

GET /v1/models

Returns all available models with pricing, context windows, and capabilities. Supports filtering by provider and type.

Streaming Example

from openai import OpenAI
client = OpenAI(api_key="your-ccapi-key", base_url="https://api.ccapi.ai/v1")
stream = client.chat.completions.create(
    model="deepseek/deepseek-chat",
    messages=[{"role": "user", "content": "Write a haiku about coding"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Video Generation Full Example

import time
import requests
API_KEY = "your-ccapi-key"
BASE = "https://api.ccapi.ai/v1"
HEADERS = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
Create video task
resp = requests.post(f"{BASE}/video/generations", headers=HEADERS, json={
    "model": "kuaishou/kling-3.0-standard",
    "prompt": "A golden retriever running on the beach at sunset, cinematic, 4K",
    "duration": 5,
})
task_id = resp.json()["id"]
Poll until complete
while True:
    status = requests.get(f"{BASE}/video/generations/{task_id}", headers=HEADERS).json()
    if status["status"] == "completed":
        print(f"Video URL: {status['video_url']}")
        break
    elif status["status"] == "failed":
        print(f"Error: {status.get('error')}")
        break
    time.sleep(5)

Key Features

Error Handling

All errors follow a consistent format:

{
  "error": {
    "message": "Insufficient balance",
    "type": "billing_error",
    "code": "insufficient_funds"
  }
}

Error types: invalid_request_error, billing_error, api_error, rate_limit_error

Tips

Resources

Base URL: https://api.ccapi.ai/v1 Auth: Authorization: Bearer

Get your API key at https://ccapi.ai/dashboard

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(
    api_key="your-ccapi-key",
    base_url="https://api.ccapi.ai/v1"
)
Text generation
response = client.chat.completions.create(
    model="openai/gpt-5.2",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Node.js (OpenAI SDK)

import OpenAI from "openai"
const client = new OpenAI({
  apiKey: "your-ccapi-key",
  baseURL: "https://api.ccapi.ai/v1",
})
const response = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-4-6",
  messages: [{ role: "user", content: "Hello!" }],
})

cURL

curl https://api.ccapi.ai/v1/chat/completions \
  -H "Authorization: Bearer your-ccapi-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5.2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'