---
title: "CompactifAI"
url: "/docs/providers/compactifai"
canonical_url: "https://docs.litellm.ai/docs/providers/compactifai"
type: "docs"
last_updated: "2026-10-09"
related:
  - "/docs/providers/cometapi"
  - "/docs/providers/coralbricks"
---
# CompactifAI

> Index of all LiteLLM docs: https://docs.litellm.ai/llms.txt

https://docs.compactif.ai/

CompactifAI offers highly compressed versions of leading language models, delivering up to **70% lower inference costs**, **4x throughput gains**, and **low-latency inference** with minimal quality loss (under 5%). CompactifAI's OpenAI-compatible API makes integration straightforward, enabling developers to build ultra-efficient, scalable AI applications with superior concurrency and resource efficiency.

| Property | Details |
|-------|-------|
| Description | CompactifAI offers compressed versions of leading language models with up to 70% cost reduction and 4x throughput gains |
| Provider Route on LiteLLM | `compactifai/` (add this prefix to the model name - e.g. `compactifai/cai-llama-3-1-8b-slim`) |
| Provider Doc | [CompactifAI ↗](https://docs.compactif.ai/) |
| API Endpoint for Provider | https://api.compactif.ai/v1 |
| Supported Endpoints | `/chat/completions`, `/completions` |

## Supported OpenAI Parameters

CompactifAI is fully OpenAI-compatible and supports the following parameters:

```
"stream",
"stop",
"temperature",
"top_p",
"max_tokens",
"presence_penalty",
"frequency_penalty",
"logit_bias",
"user",
"response_format",
"seed",
"tools",
"tool_choice",
"parallel_tool_calls",
"extra_headers"
```

## API Key Setup

CompactifAI API keys are available through AWS Marketplace subscription:

1. Subscribe via [AWS Marketplace](https://aws.amazon.com/marketplace)
2. Complete subscription verification (24-hour review process)
3. Access MultiverseIAM dashboard with provided credentials
4. Retrieve your API key from the dashboard

```python
import os

os.environ["COMPACTIFAI_API_KEY"] = "your-api-key"
```

## Usage

**SDK**

```python
from litellm import completion
import os

os.environ['COMPACTIFAI_API_KEY'] = "your-api-key"

response = completion(
    model="compactifai/cai-llama-3-1-8b-slim",
    messages=[
       {"role": "user", "content": "Hello from LiteLLM!"}
   ],
)
print(response)
```

**Proxy**

```yaml
model_list:
  - model_name: llama-2-compressed
    litellm_params:
      model: compactifai/cai-llama-3-1-8b-slim
      api_key: os.environ/COMPACTIFAI_API_KEY
```

## Streaming

```python
from litellm import completion
import os

os.environ['COMPACTIFAI_API_KEY'] = "your-api-key"

response = completion(
    model="compactifai/cai-llama-3-1-8b-slim",
    messages=[
       {"role": "user", "content": "Write a short story"}
   ],
    stream=True
)

for chunk in response:
    print(chunk)
```

## Advanced Usage

### Custom Parameters

```python
from litellm import completion

response = completion(
    model="compactifai/cai-llama-3-1-8b-slim",
    messages=[{"role": "user", "content": "Explain quantum computing"}],
    temperature=0.7,
    max_tokens=500,
    top_p=0.9,
    stop=["Human:", "AI:"]
)
```

### Function Calling

CompactifAI supports OpenAI-compatible function calling:

```python
from litellm import completion

functions = [
    {
        "name": "get_weather",
        "description": "Get current weather information",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "The city and state"
                }
            },
            "required": ["location"]
        }
    }
]

response = completion(
    model="compactifai/cai-llama-3-1-8b-slim",
    messages=[{"role": "user", "content": "What's the weather in San Francisco?"}],
    tools=[{"type": "function", "function": f} for f in functions],
    tool_choice="auto"
)
```

### Async Usage

```python
import asyncio
from litellm import acompletion

async def async_call():
    response = await acompletion(
        model="compactifai/cai-llama-3-1-8b-slim",
        messages=[{"role": "user", "content": "Hello async world!"}]
    )
    return response

# Run async function
response = asyncio.run(async_call())
print(response)
```

## Available Models

CompactifAI offers compressed versions of popular models. Use the `/models` endpoint to get the latest list:

```python
import httpx

headers = {"Authorization": f"Bearer {your_api_key}"}
response = httpx.get("https://api.compactif.ai/v1/models", headers=headers)
models = response.json()
```

Common model formats:
- `compactifai/cai-llama-3-1-8b-slim`
- `compactifai/mistral-7b-compressed`
- `compactifai/codellama-7b-compressed`

## Benefits

- **Cost Efficient**: Up to 70% lower inference costs compared to standard models
- **High Performance**: 4x throughput gains with minimal quality loss (under 5%)
- **Low Latency**: Optimized for fast response times
- **Drop-in Replacement**: Full OpenAI API compatibility
- **Scalable**: Superior concurrency and resource efficiency

## Error Handling

CompactifAI returns standard OpenAI-compatible error responses:

```python
from litellm import completion
from litellm.exceptions import AuthenticationError, RateLimitError

try:
    response = completion(
        model="compactifai/cai-llama-3-1-8b-slim",
        messages=[{"role": "user", "content": "Hello"}]
    )
except AuthenticationError:
    print("Invalid API key")
except RateLimitError:
    print("Rate limit exceeded")
```

## Support

- Documentation: https://docs.compactif.ai/
- LinkedIn: [MultiverseComputing](https://www.linkedin.com/company/multiversecomputing)
- Analysis: [Artificial Analysis Provider Comparison](https://artificialanalysis.ai/providers/compactifai)

## Related pages

- [CometAPI](https://docs.litellm.ai/docs/providers/cometapi.md)
- [CoralBricks](https://docs.litellm.ai/docs/providers/coralbricks.md)