LlamaIndex LLM Integration: CometAPI

Installation

To install the required packages, run:

pip install llama-index-llms-cometapi

Setup

Get API Key

1. Visit CometAPI Console
2. Sign up for an account (If you don't already have a CometAPI account)
3. Generate your API key

Initialize CometAPI

You can set the API key either as an environment variable COMETAPI_API_KEY or pass it directly:

from llama_index.llms.cometapi import CometAPI

# Method 1: Using environment variable
# export COMETAPI_API_KEY="your-api-key"
llm = CometAPI(model="gpt-4o-mini")

# Method 2: Direct API key
llm = CometAPI(
    api_key="your-api-key",
    model="gpt-4o-mini",
    max_tokens=256,
    context_window=4096,
)

Usage Examples

Generate Chat Responses

from llama_index.core.llms import ChatMessage

message = ChatMessage(role="user", content="Tell me a joke")
resp = llm.chat([message])
print(resp)

Streaming Chat

message = ChatMessage(role="user", content="Tell me a story")
resp = llm.stream_chat([message])
for r in resp:
    print(r.delta, end="")

Text Completion

resp = llm.complete("Tell me a joke")
print(resp)

Streaming Completion

resp = llm.stream_complete("Tell me a story")
for r in resp:
    print(r.delta, end="")

Available Models

CometAPI supports various state-of-the-art models:

GPT Series

• gpt-5-chat-latest
• chatgpt-4o-latest
• gpt-5-mini
• gpt-4o-mini
• gpt-4.1-mini

Claude Series

• claude-opus-4-1-20250805
• claude-sonnet-4-20250514
• claude-3-5-haiku-latest

Gemini Series

• gemini-2.5-pro
• gemini-2.5-flash
• gemini-2.0-flash

Others

• deepseek-v3.1
• grok-4-0709
• qwen3-30b-a3b

For complete list, visit: https://api.cometapi.com/pricing

Model Configuration

# Use different models
llm_claude = CometAPI(model="claude-3-5-haiku-latest")
llm_gemini = CometAPI(model="gemini-2.5-flash")
llm_deepseek = CometAPI(model="deepseek-v3.1")

response = llm_claude.complete("Explain quantum computing")
print(response)

Documentation

• CometAPI Website
• API Documentation
• Model Pricing