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foundry-conversations
Manage persistent conversations via Foundry Conversations API. Create conversations, add messages, and maintain history across sessions.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Manage persistent conversations via Foundry Conversations API. Create conversations, add messages, and maintain history across sessions.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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.
Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure.
| name | foundry-conversations |
| description | Manage persistent conversations via Foundry Conversations API. Create conversations, add messages, and maintain history across sessions. |
| metadata | {"openclaw":{"requires":{"env":["FOUNDRY_PROJECT_ENDPOINT"]},"primaryEnv":"FOUNDRY_PROJECT_ENDPOINT"}} |
You can create and manage persistent conversations via the Foundry Conversations API. Conversations store message history server-side, enabling multi-turn interactions that survive session boundaries.
All requests: http://localhost:8443 with ?api-version=2025-11-15-preview. Auth is automatic.
curl -s -X POST 'http://localhost:8443/openai/conversations?api-version=2025-11-15-preview' \
-H 'Content-Type: application/json' \
-d '{"metadata":{"user":"user-123","topic":"onboarding"}}'
Returns {"id":"conv_abc123","object":"conversation",...}.
curl -s -X POST 'http://localhost:8443/openai/conversations/conv_abc123/items?api-version=2025-11-15-preview' \
-H 'Content-Type: application/json' \
-d '{"items":[{"type":"message","role":"user","content":[{"type":"input_text","text":"Hello!"}]}]}'
curl -s 'http://localhost:8443/openai/conversations?api-version=2025-11-15-preview'
curl -s -X POST 'http://localhost:8443/openai/responses?api-version=2025-11-15-preview' \
-H 'Content-Type: application/json' \
-d '{"model":"gpt-4.1","input":"What did we discuss?","conversation":"conv_abc123"}'
curl -s -X DELETE 'http://localhost:8443/openai/conversations/conv_abc123?api-version=2025-11-15-preview'