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TrueFoundry

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@truefoundry

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53Published Skills

Build fast, secure and cost-efficient ML/LLM Apps

Skills Distribution
DomainCloud & Comp...ML-Infrastructure-.. (40%)Model-Gateway-Mana.. (30%)Compute-Resource-O.. (20%)Access-Security-Go.. (10%)

Agent Skills by TrueFoundry

Showing 53 vetted skills indexed across 3 GitHub repositories.

truefoundrytruefoundry
13

truefoundry-guardrails

Configure content safety guardrails for the TrueFoundry AI Gateway.

Official
Advanced
truefoundrytruefoundry
13

truefoundry-ai-gateway

Configure TrueFoundry AI Gateway with OpenAI-compatible endpoints, auth, routing, and rate limiting.

Official
Advanced
truefoundrytruefoundry
13

truefoundry-agents

Manage TrueFoundry Agent Registry agents with CRUD operations and collaborator access.

Official
Advanced
truefoundrytruefoundry
13

truefoundry-integrations

Register and configure LLM provider accounts for the TrueFoundry AI Gateway.

Official
Intermediate
truefoundrytruefoundry
13

truefoundry-prompts

Manage TrueFoundry prompt registry prompts and versions via TFY REST API.

Official
Intermediate
truefoundrytruefoundry
13

truefoundry-ai-monitoring

Query AI Gateway spans API for traces, costs, latency, errors, and token usage.

Official
Advanced
truefoundrytruefoundry
13

truefoundry-mcp-servers

Registers and manages MCP servers within TrueFoundry with security gates and collaborator management.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-tracing

Instrument Python and TypeScript apps with OpenTelemetry tracing via Traceloop SDK.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-monitor

Poll TrueFoundry deployment rollouts and report replica and endpoint summaries.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-llm-deploy

Deploy LLM models on TrueFoundry with YAML manifests and the tfy CLI.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-access-tokens

Manage TrueFoundry personal access tokens for API authentication and CI/CD.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-deploy

Automate deployment, monitoring, and lifecycle management of TrueFoundry ML infrastructure.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-secrets

Manage TrueFoundry secret groups and key-value secrets via API and CLI.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-workflows

Orchestrate Flyte-based data and ML pipelines on TrueFoundry with Python tasks.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-status

Validate TrueFoundry credentials and connectivity before deployments.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-docs

Fetch TrueFoundry documentation, API references, and deployment guides.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-workspaces

List TrueFoundry workspaces and clusters with their FQNs via Bash and curl.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-ssh-server

Launch remote SSH development environments with passwordless key access on TrueFoundry.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-logs

View, download, and search TrueFoundry application and job logs.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-applications

List, inspect, and manage TrueFoundry deployments across workspaces and clusters.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-gitops

Automate TrueFoundry GitOps deployments with tfy apply in CI/CD pipelines.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-volumes

Manage persistent volumes in TrueFoundry for containerized workloads.

Official
Intermediate
truefoundrytruefoundry
1

truefoundry-jobs

Deploy and monitor TrueFoundry batch jobs, cron schedules, and one-time tasks.

Official
Advanced
truefoundrytruefoundry
1

truefoundry-access-control

Manage TrueFoundry roles, teams, and collaborators via REST API.

Official
Advanced

Frequently Asked Questions About TrueFoundry

FAQPage Schema
What specific tasks can engineers perform using these capabilities?

Engineers can deploy containerized services, manage persistent storage volumes, orchestrate batch jobs, and configure content safety guardrails for model endpoints. Additionally, the platform supports remote development environments and comprehensive log retrieval for debugging deployed services.

Which personas benefit most from these infrastructure capabilities?

Machine learning engineers, infrastructure architects, and DevOps practitioners benefit from these capabilities. The platform is designed for teams needing to move models from development to production while maintaining granular access control, resource monitoring, and standardized deployment patterns.

What are the prerequisites for deploying services on this infrastructure?

Users require valid credentials, including an API key and configured workspace connectivity. Deployments typically rely on YAML manifests defining the service architecture, resource requirements, and environment variables, which are processed via the platform's interface or command-line utility.