integrations
Routing note: For ambiguous user intents, use the shared clarification templates in references/intent-clarification.md.
Integrations
Manage TrueFoundry LLM provider account integrations. Add, list, and configure provider accounts that supply models to the AI Gateway.
When to Use
List, create, or manage LLM provider accounts (OpenAI, AWS Bedrock, Google Vertex, Azure, Groq, Together AI, custom OpenAI-compatible endpoints, self-hosted models, etc.).
When NOT to Use
- User wants to manage MCP servers (tool servers) → prefer
mcp-serversskill - User wants to configure guardrails (content filtering, PII detection) → prefer
guardrailsskill - User wants to call models through the gateway → prefer
ai-gatewayskill - User wants to manage platform secrets directly → prefer
secretsskill
More from truefoundry/tfy-gateway-skills
truefoundry-access-control
Manages TrueFoundry roles, teams, and collaborators. Create custom roles, organize users into teams, and grant access to resources. Use when managing permissions, creating teams, or adding collaborators.
2ai-monitoring
Monitors AI Gateway traffic, costs, latency, errors, and token usage by querying request traces via the spans query API.
2truefoundry-ai-monitoring
Monitors AI Gateway traffic, costs, latency, errors, and token usage by querying request traces via the spans query API.
2truefoundry-access-tokens
Manages TrueFoundry personal access tokens (PATs). List, create, and delete tokens for API auth, CI/CD, and gateway access.
2truefoundry-ai-gateway
Configures TrueFoundry AI Gateway for unified OpenAI-compatible LLM access. Covers auth (PAT/VAT), model routing, rate limiting, and budget controls.
2truefoundry-status
Checks TrueFoundry connection status and verifies credentials (TFY_BASE_URL/TFY_HOST, TFY_API_KEY). Used as a preflight check before any TrueFoundry operation.
2