
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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Congrats on the launch! This is definitely useful from a security and compliance standpoint
That’s a strong value proposition. A unified control plane with real governance, cost controls, and full traceability is exactly what most teams lack when scaling agents past prototypes. The fact that it’s already running thousands of agents in production for F100 companies adds real credibility.
TrueFoundry AI Gateway
@vik_sh We’re incredibly excited about the future of AI gateways - one unified control plane that seamlessly manages models, MCPs, and agents. We believe this will become one of the most critical layers of modern AI infrastructure.
Top of the Lyne
Looks super interesting! Good luck team :)
TrueFoundry AI Gateway
@sufiyan_sait Thank you Sufiyan for your support. Do check out the product.
Do you plan to expand support for regional LLM providers to cater to teams with data residency requirements? Also, will the platform include pre-built guardrail templates (e.g., for PII redaction, content moderation) to accelerate compliance setup?
TrueFoundry AI Gateway
@movieflow_nann We already support regional LLM providers, and teams can choose region-specific storage accounts to meet data-residency requirements. We also integrate with pre-built guardrails (PII redaction, moderation, etc.), and you can plug in your own policies as well — so compliance setups are usually fast to configure.
Great launch, team! One thing I'm curious about: does the Gateway introduce noticeable latency when routing requests? Would love to know if you have benchmark results.
TrueFoundry AI Gateway
@alizah_aamir Hi Alizah, thanks for the question. Yes, we have extensively benchmarked the gateway and are one of the fastest out there. Here is a blog sharing details about it. https://www.truefoundry.com/blog/truefoundry-llm-gateway-is-blazing-fast
Predictive AI
If AI models evolve, multiply, and fragment over the next few years, do you have a unified system that can grow with that future, or will you be forced to rebuild your entire stack?
TrueFoundry AI Gateway
@pankajvnt Great question - that’s exactly the problem the Gateway is designed to solve.
As models evolve, fragment, or get replaced entirely, your stack doesn’t need to change. We provide a unified API and routing layer that lets you swap in new models, add domain-specific ones, or mix multiple providers without touching your application code.
Think of it as future-proofing your LLM infrastructure - upgrades happen behind the Gateway, not inside your product.
As an ML engineer who’s built and deployed multiple LLM systems in production — LangGraph agents, RAG pipelines, and fairly involved evaluation/observability layers — the hardest part has always been the infrastructure glue:
managing multiple model providers
keeping logs and tracing consistent
tracking costs
maintaining prompt versions without breaking apps
What I like about TrueFoundry’s AI Gateway is that it actually solves these operational headaches cleanly. The unified API, multi-provider routing, centralised logging, cost/latency tracking, RBAC, and prompt versioning remove a huge amount of engineering effort that teams usually end up duct-taping together. It’s the kind of layer you wish existed when you’re trying to scale LLM usage across different teams and use-cases.
Really excited to see this launch — it fills a very real gap in the modern AI stack.
TrueFoundry AI Gateway
@aditi_gupta35 Thank you so much - you articulated the pain better than we could. The goal of the Gateway was exactly this: remove the hidden ops burden around providers,MCPs, logs, costs, and prompt versions so teams can actually focus on building.
Really glad it resonates with someone who’s lived these problems firsthand!