python▌

Read the migration guide before making changes:

You are a Python expert specializing in modern Python 3.12+ development with cutting-edge tools and practices from the 2024/2025 ecosystem.

Read the setup guide before making changes:

Framework selection, async patterns, type hints, and project structure decisions for Python development. \n \n Covers framework selection (FastAPI, Django, Flask) with decision trees based on project type, async requirements, and team context \n Teaches async vs sync decision-making for I/O-bound and CPU-bound workloads, with library recommendations for common async operations \n Includes type hint strategy, Pydantic validation patterns, and project structure templates from simple scripts to lar

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash integrations. \n \n Covers async-first REST API development with FastAPI, including dependency injection, Pydantic validation, and structured project organization \n Implements authentication patterns for JWT/OAuth2, password hashing, CORS, and API key management \n Provides SQLAlchemy async database setup with transactions, eager loading, and migration strategies \n Includes Redis/Upstash caching, rate limiting with s

Centralized, typed configuration management using environment variables and pydantic-settings. \n \n Load and validate all configuration into typed objects at application startup, with required settings crashing immediately if missing \n Supports nested configuration groups, type coercion, custom validators, and environment-specific behavior switching \n Provides sensible defaults for local development while enforcing explicit values for secrets and production settings \n Integrates with .env fi

Static type checking with annotations, generics, protocols, and strict mode enforcement. \n \n Covers type annotations, generics with TypeVars, structural protocols, and type narrowing patterns for catching errors at analysis time \n Includes modern syntax (Python 3.10+ union types), bounded type variables, and generic repository patterns for type-safe APIs \n Provides configuration guidance for mypy strict mode and incremental adoption strategies for existing codebases \n Demonstrates 10 fundam

Python SDK for building AI applications, agents, and integrations with 150+ inference.sh models. \n \n Supports sync and async execution with streaming progress updates, fire-and-forget task submission, and stateful sessions for warm worker continuity \n Agent SDK includes template agents, ad-hoc agent creation with custom tools, and built-in capabilities like web search, code execution, and image generation \n Tool builder API enables four tool types: client tools (run in your code), app tools

Python SDK setup and CRUD snippets for Microsoft Dataverse operations. \n \n Generates installation commands and DataverseClient initialization with InteractiveBrowserCredential authentication \n Includes single-record CRUD patterns (create, retrieve, update, delete) following official SDK conventions \n Covers bulk operations with both broadcast and 1:1 update modes for efficient batch processing \n Demonstrates retrieve-multiple queries with paging support (top, page_size parameters) \n Option

Complete Python MCP server project generator with tools, resources, and proper configuration. \n \n Scaffolds a new Python project using uv with MCP SDK, proper directory structure, and .gitignore \n Supports both stdio (local) and streamable-http (remote) transport types with optional host, port, and stateless mode configuration \n Generates decorated tools, resources, and prompts with automatic schema generation from type hints and docstrings \n Includes comprehensive error handling, async/awa