langchain-llm7 2025.9.131316

A LangChain wrapper for LLM7 API

LangChain LLM7 Integration

Official LangChain compatibility layer for LLM7 API services.

Installation

pip install langchain-llm7

Features

• 🚀 Native integration with LangChain's BaseChatModel interface
• ⚡ Support for both streaming and non-streaming responses
• 🔧 Customizable model parameters (temperature, max_tokens, stop sequences)
• 📊 Token usage metadata tracking
• 🛠 Robust error handling and retry mechanisms

Usage

Basic Implementation

from langchain_llm7 import ChatLLM7
from langchain_core.messages import HumanMessage

# Initialize with default parameters
llm = ChatLLM7()

# Basic invocation
response = llm.invoke([HumanMessage(content="Hello!")])
print(response.content)

Streaming Responses

# Enable streaming
llm = ChatLLM7(streaming=True)

for chunk in llm.stream([HumanMessage(content="Tell me about quantum computing")]):
    print(chunk.content, end="", flush=True)

Advanced Configuration

# Custom model configuration
llm = ChatLLM7(
    model="llama-3.3-70b-instruct-fp8-fast",
    temperature=0.7,
    max_tokens=500,
    stop=["\n", "Observation:"],
    timeout=45
)

Parameters

Parameter	Description	Default
model	Model version to use	"gpt-4o-mini-2024-07-18"
base_url	API endpoint URL	"https://api.llm7.io/v1"
temperature	Sampling temperature (0.0-2.0)	1.0
max_tokens	Maximum number of tokens to generate	None
timeout	Request timeout in seconds	120
stop	Stop sequences for response generation	None
streaming	Enable streaming response mode	False

Error Handling

The library provides detailed error messages for:

• API communication failures
• Invalid message formats
• Unsupported message types
• Response parsing errors

try:
    llm.invoke([{"invalid": "message"}])
except ValueError as e:
    print(f"Error: {e}")

Testing

To run the test suite:

pip install pytest
pytest tests/

Documentation

For complete documentation see:

• LangChain Core Documentation
• LLM7 API Reference

Contributing

Contributions are welcome! Please open an issue or submit a PR:

• GitHub Repository

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Contact

Eugene Evstafev

LinkedIn Profile