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TrueFoundry AI Gateway
Connect, observe & control LLMs, MCPs, Guardrails & Prompts
2.1K followers
Connect, observe & control LLMs, MCPs, Guardrails & Prompts
2.1K followers
TrueFoundry’s AI Gateway is the production-ready, control plane to experiment with, monitor and govern your agents. Experiment with connecting all agent components together (Models, MCP, Guardrails, Prompts & Agents) in the playground. Maintain complete visibility over responses with traces and health metrics. Govern by setting up rules/limits on request volumes, cost, response content (Guardrails) and more. Being used in production for 1000s of agents by multiple F100 companies!
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TrueFoundry AI Gateway
@aayush_sultania Gateways can be cross region distributed - so doing failover, rate-limiting in a globally distributed way, figuring out the integrations to provide a unified API on different API and model providers (https://docs.truefoundry.com/docs/ai-gateway/chat-completions-overview) were some of the hard challenges we had to solve. Also, authorization in MCP servers and making it work for different scenarios is also a challenging problem we needed to solve.
Very cool, many congratulations! By the way, quick question - do you guys support agents and A2A protocol today? How are your clients managing agent memory with lot of context?
TrueFoundry AI Gateway
@tushar_singla Thanks so much! Agent-to-Agent (A2A) and richer agent orchestration are on our roadmap -we’ve shared it publicly here: https://truefoundry.com/roadmap.
TrueFoundry AI Gateway
@rishabh_malik Thanks! Yes we do share analytics on per model usage - https://docs.truefoundry.com/docs/ai-gateway/analytics
Kaily
This sounds so interesting. Wondering how it connects to/works with final deployed Copilots. Does it let you design workflows for the Copilot in addition to managing the MCP connections and base LLM?
Looks like a good platform for the AI governance. One api key, one endpoint, multiple models, consistent logs + metrics. This saves so much mental overhead.
TrueFoundry AI Gateway
@raveena_venugopal That mental overhead you mentioned is exactly what kept coming up in our conversations with teams. The moment you go from “one model in dev” to “multiple models + environments + guardrails + logs,” everything suddenly feels scattered and hard to govern.
We wanted the Gateway to feel like turning chaos into one clean control panel:
One API key and endpoint - no more juggling provider SDKs
Unified logs + metrics - finally compare behaviour across models
Central governance → permissions, cost controls, guardrails all in one place
Finally, an AI Gateway that brings order to the LLM chaos! Love the unified API access and critical cost controls like semantic caching. Congrats @agutgutia and TrueFoundry team!
TrueFoundry AI Gateway
@kshitijdixit9 Really appreciate it! A lot of teams are using the Gateway for cost visibility, deep observability and monitoring, and consolidated billing - all the things that get painful once you scale LLM usage. Glad the value resonates!