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Temporal Python Samples

Serena MCP Server

Always consult Serena memories at the start of a session using mcp__serena__list_memories and read relevant ones with mcp__serena__read_memory. Save important project-specific learnings to Serena for future sessions.

Client Initialization Pattern

Use the ClientConfig pattern for client initialization to support environment-based configuration:

from temporalio.client import Client
from temporalio.envconfig import ClientConfig

config = ClientConfig.load_client_connect_config()
config.setdefault("target_host", "localhost:7233")
client = await Client.connect(**config)

This pattern allows configuration via environment variables while providing sensible defaults.

LangGraph Guidelines

Agent Creation

  • DO NOT use create_react_agent from langgraph.prebuilt - it is deprecated
  • USE create_agent from langchain.agents instead
# Wrong (deprecated)
from langgraph.prebuilt import create_react_agent
agent = create_react_agent(model=model, tools=[...], prompt="...")

# Correct
from langchain.agents import create_agent
agent = create_agent(model=model, tools=[...], system_prompt="...")