Agent Skills
Reduce token usage with on-demand context loading
Skills load full context only when required at runtime, keeping prompts smaller, reducing unnecessary
token usage, and improving efficiency across repeated agent runs.
token usage, and improving efficiency across repeated agent runs.
Skill Portability
Save and reuse the same Skill across multiple agents
Write a Skill once and attach it across multiple agents and workflows, so shared operational
logic stays consistent without copying instructions between prompts.
logic stays consistent without copying instructions between prompts.
Project Artifacts
Package more than just prompt text
Include scripts, PDFs, DOCX files, images, and supporting assets inside a Skill, giving agents richer operational context than plain text prompts alone.
Agent Playground
Execute attached scripts in the sandbox
Package Python, batch, and other scripts inside a Skill so agents can execute attached assets directly in the sandbox instead of recreating workflows from prompt context alone.
Made for Real-World AI at Scale
99.99%
uptime
Centralized failovers, routing, and guardrails ensure your AI apps stay online, even when model providers don’t.
10B+
Requests processed/month
Scalable, high-throughput inference for production AI.
30%
Average cost optimization
Smart routing, batching, and budget controls reduce token waste.
Enterprise-Ready
Your data and models are securely housed within your cloud / on-prem infrastructure
Compliance & Security
SOC 2, HIPAA, and GDPR standards to ensure robust data protectionGovernance & Access Control
SSO + Role-Based Access Control (RBAC) & Audit LoggingEnterprise Support & Reliability
24/7 support with SLA-backed response SLAs
Deploy TrueFoundry in any environment
VPC, on-prem, air-gapped, or across multiple clouds.
No data leaves your domain. Enjoy complete sovereignty, isolation, and enterprise-grade compliance wherever TrueFoundry runs
Testimonials TrueFoundry makes your ML team 10x faster
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Deepanshi S
Lead Data Scientist
TrueFoundry simplifies complex ML model deployment with a user-friendly UI, freeing data scientists from infrastructure concerns. It enhances efficiency, optimizes costs, and effortlessly resolves DevOps challenges, proving invaluable to us.
Matthieu Perrinel
Head of ML
The computing costs savings we achieved as a result of adopting TrueFoundry, were greater than the cost of the service (and that's without counting the time and headaches it saves us).
Soma Dhavala
Director Of Machine Learning
TrueFoundry helped us save 40-50% of the cloud costs. Most companies give you a tool and leave you but TrueFoundry has given us excellent support whenever we needed them.
Rajesh Chaganti
CTO
Using the TrueFoundry platform we were able to reduce our cloud costs significantly. We were able to seamlessly transit for AMI based system to a docker-Kubernetes based architecture within a few weeks.
Sumit Rao
AVP of Data Science
TrueFoundry has been pivotal in our Machine Learning use cases. They have helped our team realize value faster from Machine Learning.
Vivek Suyambu
Senior Software Engineer
TrueFoundry makes open-source LLM deployment and fine-tuning effortless. Its intuitive platform, enriched with a feature-packed dashboard for model management, is complemented by a support team that goes the extra mile.
9.9
Quality of Support
Frequently asked questions
What is a Skill in Skills Registry?
Prompt Management in TrueFoundry provides a centralized system to create, version, test, and govern prompts used across LLM-powered applications, agents, and workflows. It allows teams to treat prompts as first-class assets just like code or models ensuring consistency, traceability, and controlled evolution of prompts in production AI systems.
How are TrueFoundry Skills different from system prompts?
Prompt Management is deeply integrated with the AI Gateway and agent execution layer. Prompts defined in the Prompt Registry can be directly selected and executed from the Playground, referenced by agents at runtime, and invoked through the AI Gateway using stable prompt identifiers. This ensures that changes to prompts are versioned, auditable, and safely propagated across applications without breaking production behavior.
How does a Skills Registry differ from a Local MCP Server Registry?
Yes. The Prompt Playground allows you to experiment with prompts interactively using real models, configurations, and tools. You can test different prompt variants, model parameters, and inputs, observe outputs in real time, and compare results before promoting a prompt version to production. This enables rapid iteration while maintaining confidence in prompt quality and behavior.
What problems does TrueFoundry Skills Registry solve?
Every prompt is automatically versioned when updated, allowing teams to track changes over time and maintain a full history of prompt evolution. Each version can be referenced independently, rolled back if needed, and compared against other versions. This makes it easy to safely update prompts without introducing regressions in downstream applications or agents.
How does TrueFoundry Skills Registry reduce token usage?
TrueFoundry generates production-ready code snippets for each prompt version, allowing you to invoke prompts directly via the AI Gateway using APIs or SDKs. These snippets include prompt identifiers, version references, and model configuration details, making it easy to integrate prompts into applications, agents, or workflows without hardcoding prompt text.
How are Skills created, shared, and managed in TrueFoundry?
Yes. Prompt Management supports role-based access control (RBAC), enabling teams to define who can create, edit, approve, or deploy prompts. This is especially useful in enterprise settings where prompt changes must go through review processes or be restricted to specific teams. All changes are logged for auditability and governance.
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