Product Release
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.
VP of Engineering at Mozilla AI. Passionate about solving complex problems.
Product Release
Secure, encrypted LLM API key management across OpenAI, Anthropic, Google providers. Track costs, set budgets, avoid vendor lock-in. Free beta access now.
any-llm managed platform adds end-to-end encrypted API key storage and usage tracking to the any-llm ecosystem. Keys are encrypted client-side, never visible to us, while you monitor token usage, costs, and budgets in one place. Supports OpenAI, Anthropic, Google, and more.
mcpd is to agents what requirements.txt is to applications: a single config to declare, pin, and run the tools your agents need, consistently across local, CI, and production.
We recently discussed the increasing need to test applications that make use of AI with tests that target problems specific to AI models. But an immediate follow-up question then arises: What specific problems? How is that testing different?
Since LLMs exploded into public awareness, we have witnessed their integration into a vast array of applications. However, this also introduces new complexities, especially in testing. At Mozilla.ai, we did some research on the need to introduce formal testing to the end to end app.