truefoundry-integrations

Name: truefoundry-integrations
Availability: InStock
Author: TrueFoundry

13|Updated Feb 13, 2026

Search Tags:#OpenAI #llm #secrets #integrations #provider #gateway

Ready to run

npx skills add https://github.com/truefoundry/tfy-gateway-skills --skill truefoundry-integrations

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: truefoundry-integrations
Source: https://github.com/truefoundry/tfy-gateway-skills/tree/main/skills/integrations
Command: npx skills add https://github.com/truefoundry/tfy-gateway-skills --skill truefoundry-integrations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Manages TrueFoundry LLM provider account integrations by enabling add/list operations and streamlined provider configuration for the AI Gateway.

Core Features & Use Cases

Create, list, and configure provider accounts (OpenAI, AWS Bedrock, Google Vertex, Azure OpenAI, Groq, Together AI, custom endpoints, and self-hosted models).
Route gateway workloads to provider integrations and manage model provisioning across providers.
Enforce credential handling best practices by guiding users to store credentials in TrueFoundry secrets and reference them via tfy-secret:// URIs.

Quick Start

Add a provider account or list existing provider accounts to begin configuring gateway integrations.

Frequently Asked Questions about truefoundry-integrations

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add an OpenAI provider account to the TrueFoundry AI Gateway?▼

To add an OpenAI provider account to the TrueFoundry AI Gateway, you configure the integration by storing credentials in TrueFoundry secrets and referencing them via tfy-secret:// URIs. Preflight checks validate access control and model configurations before completing the gateway integration.

What LLM providers can I configure for gateway routing?▼

You can configure LLM providers including OpenAI, AWS Bedrock, Google Vertex AI, Azure OpenAI, Groq, Together AI, custom endpoints, self-hosted models, and TrueFoundry platform models to supply models to the gateway and manage model provisioning.

Do I need to use secrets for LLM provider credentials?▼

Yes, credential handling best practices require storing LLM provider credentials in TrueFoundry secrets and referencing them via tfy-secret:// URIs. This enforces secure access control and validates model configurations before gateway integration.

Can I list and manage existing LLM provider integrations?▼

Yes, you can list existing provider accounts to manage LLM model provisioning across the TrueFoundry AI Gateway. This enables streamlined configuration and routing of gateway workloads to the active provider integrations.

Does this support routing workloads to self-hosted models?▼

Yes, the gateway supports routing workloads to self-hosted models alongside managed providers like AWS Bedrock and Azure. You configure custom endpoints using tfy-secret references to ensure proper access control before completing the integration.