pip install langchain-go-micro

# Start MCP gateway
micro mcp serve --address :3000

from langchain_go_micro import GoMicroToolkit
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI

# Initialize toolkit from MCP gateway
toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# Create agent
llm = ChatOpenAI(model="gpt-4")
agent = initialize_agent(
    toolkit.get_tools(),
    llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True
)

# Use the agent!
result = agent.run("Create a user named Alice with email [email protected]")
print(result)

from langchain_go_micro import GoMicroToolkit

# Connect to MCP gateway
toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# List available tools
for tool in toolkit.get_tools():
    print(f"Tool: {tool.name}")
    print(f"Description: {tool.description}")
    print()

from langchain_go_micro import GoMicroToolkit

# Create toolkit with authentication
toolkit = GoMicroToolkit.from_gateway(
    gateway_url="http://localhost:3000",
    auth_token="your-bearer-token"
)

# Tools will automatically use the auth token
tools = toolkit.get_tools()

from langchain_go_micro import GoMicroToolkit

toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# Get only user service tools
user_tools = toolkit.get_tools(service_filter="users")

# Get tools matching a pattern
blog_tools = toolkit.get_tools(name_pattern="blog.*")

from langchain_go_micro import GoMicroToolkit

toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# Select specific tools
selected_tools = toolkit.get_tools(
    include=["users.Users.Get", "users.Users.Create"]
)

# Exclude certain tools
filtered_tools = toolkit.get_tools(
    exclude=["users.Users.Delete"]
)

from langchain_go_micro import GoMicroToolkit
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI

# Create specialized agents for different services
toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# Agent 1: User management
user_agent = initialize_agent(
    toolkit.get_tools(service_filter="users"),
    ChatOpenAI(model="gpt-4"),
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION
)

# Agent 2: Order processing
order_agent = initialize_agent(
    toolkit.get_tools(service_filter="orders"),
    ChatOpenAI(model="gpt-4"),
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION
)

# Coordinate between agents
user = user_agent.run("Create user Alice")
order = order_agent.run(f"Create order for user {user['id']}")

from langchain_go_micro import GoMicroToolkit, GoMicroError

try:
    toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")
    tools = toolkit.get_tools()
except GoMicroError as e:
    print(f"Error: {e}")
    # Handle error (gateway unreachable, auth failed, etc.)

from langchain_go_micro import GoMicroToolkit, GoMicroConfig

config = GoMicroConfig(
    gateway_url="http://localhost:3000",
    auth_token="your-token",
    timeout=30,  # Request timeout in seconds
    retry_count=3,  # Number of retries on failure
    retry_delay=1.0,  # Delay between retries
    verify_ssl=True,  # SSL certificate verification
)

toolkit = GoMicroToolkit(config)
tools = toolkit.get_tools()

from langchain_go_micro import GoMicroToolkit
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI

toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")
llm = ChatOpenAI(model="gpt-4")

agent = initialize_agent(
    toolkit.get_tools(),
    llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True
)

from langchain_go_micro import GoMicroToolkit
from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from langchain.memory import ConversationBufferMemory

toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")
memory = ConversationBufferMemory(memory_key="chat_history")

agent = initialize_agent(
    toolkit.get_tools(),
    ChatOpenAI(model="gpt-4"),
    agent=AgentType.CONVERSATIONAL_REACT_DESCRIPTION,
    memory=memory,
    verbose=True
)

from langchain_go_micro import GoMicroToolkit
from langchain.agents import initialize_agent, AgentType
from langchain_anthropic import ChatAnthropic

toolkit = GoMicroToolkit.from_gateway("http://localhost:3000")

# Use Claude instead of GPT
agent = initialize_agent(
    toolkit.get_tools(),
    ChatAnthropic(model="claude-3-sonnet-20240229"),
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
    verbose=True
)

git clone https://github.com/micro/go-micro
cd go-micro/contrib/langchain-go-micro

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Run all tests
pytest

# Run with coverage
pytest --cov=langchain_go_micro

# Run specific test
pytest tests/test_toolkit.py

# Format code
black langchain_go_micro tests

# Check types
mypy langchain_go_micro

# Lint
ruff check langchain_go_micro

curl http://localhost:3000/health

curl http://localhost:3000/mcp/tools