MisakaNet LangChain Integration

Search MisakaNet failure memory from LangChain agents and chains.

Installation

pip install langchain
# No additional dependencies needed - uses stdlib only

Quick Start

from integrations.langchain.misakanet_tool import MisakaNetSearchTool

# Create the tool
tool = MisakaNetSearchTool()

# Use directly
result = tool.run("TypeErrCannot read property of undefined")
print(result)

With LangChain Agent

from langchain.agents import AgentExecutor, create_react_agent
from langchain_openai import ChatOpenAI
from integrations.langchain.misakanet_tool import MisakaNetSearchTool

# Initialize tool and LLM
tool = MisakaNetSearchTool()
llm = ChatOpenAI(model="gpt-4")

# Create agent with MisakaNet tool
agent = create_react_agent(llm, [tool], prompt)
executor = AgentExecutor(agent=agent, tools=[tool])

# Agent will automatically search MisakaNet when encountering errors
result = executor.invoke({"input": "Fix this Docker build error: permission denied"})

Configuration

Environment Variable	Description	Default
MISAKANET_SEARCH_URL	Search API endpoint	https://misakanet.dev/api/search
MISAKANET_MCP_URL	MCP protocol endpoint	https://misakanet.dev/mcp
MISAKANET_API_KEY	API key for authenticated requests	None

Programmatic Configuration

tool = MisakaNetSearchTool(
    endpoint="http://localhost:8000/api/search",
    use_mcp=True,  # Use MCP protocol instead of REST
    api_key="your-api-key",
)

MCP Protocol Support

For MCP-compatible environments:

tool = MisakaNetSearchTool(use_mcp=True)
result = tool.run("Docker permission denied")

API Reference

MisakaNetSearchTool

LangChain BaseTool subclass for MisakaNet search.

Parameters:

• query (str): Error description or failure pattern
• max_results (int): Max results to return (1-10, default: 3)

Returns: Formatted string with matching lessons and solutions.

get_misakanet_tool(**kwargs)

Convenience function to create a configured tool instance.

Related Issues

• Implements #1178