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Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.

Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.

Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings.

Integracao com WhatsApp Business Cloud API (Meta). Mensagens, templates, webhooks HMAC-SHA256, automacao de atendimento. Boilerplates Node.js e Python.

Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.

Expert on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, record CRUD, and real-world integration examples in Python, JavaScript, and curl.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks.

Integracao com WhatsApp Business Cloud API (Meta). Mensagens, templates, webhooks HMAC-SHA256, automacao de atendimento. Boilerplates Node.js e Python.

Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization.

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control.