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Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Pair with a kars cluster and offload heavy tasks to governed cloud sandboxes with GPU / foundation-model inference / Azure AI services, or communicate with other agents over end-to-end encrypted AgentMesh. Triggers on natural-language intents like "offload to the cloud", "run this on Azure", "ask my cluster to…", "send a message to agent X", "who is on the mesh", "check my inbox", "is my offload done".
Behavioral governance for OpenClaw agents via AGT — tool-level policy, inter-agent trust, audit logging.
Spawn secure isolated sub-agent sandboxes, delegate tasks via AGT mesh, receive results, and destroy sub-agents. Uses the kars_spawn, kars_mesh_send, kars_mesh_inbox, and kars_spawn_destroy tools.
Query and inspect Foundry prompt agents and invoke Foundry tools via the Responses API. OpenClaw is the orchestrator — Foundry provides managed AI services.
Python code execution via Azure AI Foundry Responses API with code_interpreter tool. Data analysis, charts, and math in a managed sandbox.
Manage persistent conversations via Foundry Conversations API. Create conversations, add messages, and maintain history across sessions.
| name | foundry-deployments |
| description | Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure. |
| metadata | {"openclaw":{"requires":{"env":["FOUNDRY_PROJECT_ENDPOINT"]},"primaryEnv":"FOUNDRY_PROJECT_ENDPOINT"}} |
You can query the Foundry project infrastructure to discover available model deployments, data connections, knowledge indexes, and datasets.
All requests: http://localhost:8443 with ?api-version=2025-11-15-preview. Auth is automatic.
curl -s 'http://localhost:8443/deployments?api-version=2025-11-15-preview'
Returns all deployed models with name, publisher, version, SKU, and capabilities.
curl -s 'http://localhost:8443/connections?api-version=2025-11-15-preview'
Returns project connections (Azure AI Search, Bing, storage, etc.) with type and target URL.
curl -s 'http://localhost:8443/indexes?api-version=2025-11-15-preview'
Returns available search indexes (Azure AI Search, Cosmos DB) for RAG scenarios.
curl -s 'http://localhost:8443/datasets?api-version=2025-11-15-preview'
Returns datasets used for evaluation, fine-tuning, or agent training.
curl -s 'http://localhost:8443/insights?api-version=2025-11-15-preview'
Returns evaluation insights and cluster analysis results.