In this section, we take a closer look at Python’s modules and import systems as they are the central elements to enforcing structure in your project. We then discuss various perspectives on how to build code which can be extended and tested reliably. Just as Code Style, API Design, and Automation are essential for a healthy development cycle.

Oct 25, 2018 · But your friend found out that, you have coded your model in Python while your friend is building his application in Java. So? Won't it be possible to integrate your machine learning model into your friend's application? Fortunately enough, you have the power of APIs.

4 days ago · MCP is purpose-built for LLMs. Unlike REST APIs that require explicit engineering effort to query, MCP integrates directly with model interfaces. Your functions become accessible as if the model "knew" how to call them. This makes it ideal for prototyping, teaching, internal tools, and research-driven interfaces. Setting Up Your Python Environment

May 15, 2024 · Good API design in Python follows principles such as simplicity, consistency, flexibility, and readability. APIs should have clear and intuitive naming conventions, providing descriptive names...

The base interface for a model provider. Model provider is responsible for looking up Models by name. Source code in src/agents/models/interface.py

3 days ago · In the world of software development, APIs (Application Programming Interfaces) play a crucial role in enabling different components or systems to communicate with each other. Python, with its simplicity and versatility, has a rich ecosystem of API frameworks that help developers build robust and scalable APIs. This blog will dive deep into the fundamental concepts of Python API frameworks ...

4 days ago · Interface: A dynamic, interactive interface where you can explore endpoints, fill in inputs, and click “Try it out” to test your API directly. A clean, read-only interface that organizes your API schema in a well-structured format. Ideal For: Developers during the testing phase: Sharing API references with other teams or external users: URL

Mar 27, 2025 · Model Context Protocol (MCP) is an open standard that bridges AI models with external data and services, allowing Large Language Models (LLMs) to make structured API calls in a consistent, secure way. This post will introduce MCP, explain why it’s valuable for connecting AI systems, compare it to existing approaches like ChatGPT plugins and manual API integrations, and dive into its recent ...

Python implementation of the Model Context Protocol (MCP) What is MCP? The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This Python SDK implements the full MCP specification, making it easy to:

In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. ... # Code within the code, # Functions calling themselves, # Infinite loop's dance. (If running this, ensure you set the OPENAI_API_KEY ...