mcpd-proxy: Centralized Tool Access for AI agents in VS Code, Cursor, and Beyond
A few weeks ago, we were speaking with a Principal Data Scientist leading engineering teams at Microsoft’s AI Consulting Practice, a group that works closely…
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Control LLM Spend and Access with any-llm-gateway
Track Usage, Set Limits, and Deploy Confidently Across Any LLM Provider Managing LLM costs and access at scale is hard. Give users unrestricted access and…
Can Open-Source Guardrails Really Protect AI Agents?
Introduction AI Agents extend large language models beyond text generation. They can call functions, access internal and external resources, perform deterministic operations, and even communicate…
Run Any LLM with a Single API: Introducing any-llm v1.0
One interface for every model, now production-ready The LLM ecosystem is moving fast: new models, new providers, new API formats almost every month. That’s why…
llamafile Returns
Mozilla.ai is adopting llamafile to advance open, local, privacy-first AI—and we’re inviting the community to help shape its future. TL;DR Mozilla.ai is adopting the llamafile…
Introducing any-guardrail: A common interface to test AI safety models
Building AI agents is hard, not just because of the LLMs, but because of everything around them: tool selection, orchestration frameworks, evaluation, safety, and more.…
3W for In-Browser AI: WebLLM + WASM + WebWorkers
🤝 This is the first “guest post” in Mozilla.ai’s blog (congratulations Baris!). His experiment, built upon the ideas of Mozilla.ai’s WASM agents blueprint, extends the…
Meet mcpd: requirements.txt for agentic systems
Run your agents, not your infrastructure. In agentic systems, tools and services often live in different languages, environments, and lifecycle patterns. Managing agents across development,…
Standardized Reasoning Content: A first look at using OpenAI’s gpt-oss on multiple providers using any-llm
In 2015, my daily driver was a red 1996 Chevrolet Blazer truck. It boasted a cassette player in the entertainment console and some awesome analog…
Standardized Reasoning Content: A first look at using OpenAI’s gpt-oss on multiple providers using any-llm
In 2015, my daily driver was a red 1996 Chevrolet Blazer truck. It boasted a cassette player in the entertainment console and some awesome analog…
Introducing any-llm: A unified API to access any LLM provider
When it comes to using Large Language Models (LLMs), it’s not always a question of which model to use: it’s also a matter of choosing…
Wasm-agents: AI agents running in your browser
One of the main barriers to a wider adoption and experimentation with open-source agents is the dependency on extra tools and frameworks that need to…
Smarter Prompts for Better Responses: Exploring Prompt Optimization and Interpretability for LLMs
Generative AI has taken center stage in reshaping how we work and interact with technology. While the capabilities of Large Language Models (LLMs) have advanced…
The Challenge of Choosing the Right LLM
Imagine you could effortlessly navigate the ever-expanding universe of Large Language Models (LLMs), always knowing which one is the perfect fit for your specific query.…
What do you mean by AI testing…?
We recently discussed the increasing need to test applications that make use of AI with tests that target problems specific to AI models. An immediate…