The Star Chamber: Multi-LLM Consensus for Code Quality

The Star Chamber runs code reviews across multiple LLM providers and aggregates their feedback by consensus. Instead of relying on one model’s perspective, developers get a structured view of where models agree, disagree, and raise unique insights.

any-llm in the Wild: Three Integrations as We Grow Our Ecosystem

any-llm now integrates with JupyterLiteAI, LangChain, and Headroom. A single provider-agnostic layer powering notebooks, agents, and context optimization across OpenAI, Anthropic, Mistral, and local models.

Run OpenAI, Claude, Mistral, llamafile, and more from one interface, now in Go!

Run any model, from any provider, like OpenAI, Claude, Mistral, or llamafile from one interface, now in Go. any-llm-go delivers type-safe provider abstraction, channel-based streaming, and normalized error handling across eight providers.

Integrating Alinia into any-guardrail for Multilingual AI Security

The newest integration with any-guardrail: Alinia AI, whose security models are specifically built to detect threats like prompt injection, data exfiltration, and policy violations by understanding the cultural and linguistic nuances of multilingual AI interactions.

Evaluating Multilingual, Context-Aware Guardrails: Evidence from a Humanitarian LLM Use Case

A technical evaluation of multilingual, context-aware AI guardrails, analyzing how English and Farsi responses are scored under identical policies. The findings surface scoring gaps, reasoning issues, and consistency challenges in humanitarian deployments.

The Misunderstood Small Model Market: A Look Beyond OpenRouter's Data

The State of AI report from OpenRouter and a16z offers valuable insight into API-based model usage. But many small models run locally on CPUs and consumer GPUs, outside managed services. This finding, however, warrants critical examination.

Octonous: Making AI useful for everyday work

Octonous helps people stay in flow while work runs across connected apps. The assistant takes real actions, reads messages, updates tools, and creates items while showing every step and asking for approval before anything changes.

AI Generated Code Isn’t Cheating: OSS Needs to Talk About It

Remember early 2025? "Vibe coding" was a meme and seemed mostly a tool for casual builders or those new to coding. It's now 2026, and we find ourselves living in a new reality. Industry leaders like DHH, Karpathy, and Lutke are publicly embracing AI-generated code controlled by human prompting.

Secure Your Keys, Track Your Costs: any-llm Managed Platform Enters Open Beta

Secure, encrypted LLM API key management across OpenAI, Anthropic, Google providers. Track costs, set budgets, avoid vendor lock-in. Free beta access now.

mcpd Plugins: Extend Your Agent Infrastructure Without Touching Your Code

The new plugin system transforms mcpd from a tool-server manager into an extensible enforcement and transformation layer—where authentication, validation, rate limiting, and custom logic live in one governed pipeline.

Building in the Open at Mozilla.ai: 2025 Year in Review

The year 2025 has been a busy one at Mozilla.ai. From hosting live demos and speaking at conferences, to releasing our latest open-source tools, we have made a lot of progress and more exploration this year.

Polyglot AI Agents: WebAssembly Meets the Java Virtual Machine (JVM)

Leverage the JVM's polyglot capabilities to create a self-contained, enterprise-optimized server-side blueprint that combines the performance benefits of WebAssembly with the reliability and maturity of Java's ecosystem.