- Add workspace boundary enforcement for edge OpenAI API - Update edge config with workspace settings - Refactor catalog routing for workspace-scoped agents - Move completed task to archive - Update e2e scripts and documentation
169 lines
4.5 KiB
YAML
169 lines
4.5 KiB
YAML
edge:
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id: "edge-example"
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name: "Example Edge"
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server:
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listen: "0.0.0.0:9090"
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# advertise_host is the host other components (Node bootstrap, OpenAI client)
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# use to reach this edge. Empty means resolve automatically from interfaces.
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advertise_host: ""
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# bootstrap is the artifact/bootstrap channel iop-edge can render in
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# bootstrap commands and `env` output. Leave artifact_base_url empty until a
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# field channel is provisioned.
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bootstrap:
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artifact_base_url: ""
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tls:
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enabled: false
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logging:
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level: "info"
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pretty: true
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# path is the edge log file. Empty falls back to <binary-dir>/logs/edge.log
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# for the bundled dev binary; explicit values win.
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path: ""
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metrics:
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port: 19092
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# control_plane connects this Edge to a Control Plane instance.
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# Set enabled: true and wire_addr to the Control Plane TCP endpoint to
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# activate the outbound connector. Leave enabled: false (default) for
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# standalone / local-only Edge deployments.
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control_plane:
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enabled: false
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wire_addr: ""
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reconnect_interval_sec: 5
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a2a:
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enabled: false
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listen: "0.0.0.0:8081"
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path: "/a2a"
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node: ""
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adapter: "cli"
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session_id: "a2a"
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timeout_sec: 120
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bearer_token: ""
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openai:
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enabled: false
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listen: "0.0.0.0:18081"
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node: ""
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adapter: "ollama"
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target: ""
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models: []
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# model_routes maps external model ids to internal adapter/target routing.
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# When set, /v1/models exposes these ids and /v1/chat/completions + /v1/responses
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# resolve adapter/target per-entry. Entries not matched fall back to target/adapter above.
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# workspace_required: true marks CLI agent routes that require a workspace path from the caller.
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# model_routes:
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# - model: "codex"
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# adapter: "cli"
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# target: "codex"
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# workspace_required: true
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# - model: "llama3"
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# adapter: "ollama"
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# target: "llama3:8b"
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# - model: "qwen3"
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# adapter: "vllm"
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# target: "qwen3-72b"
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# node: "node-gpu-01"
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session_id: "openai"
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timeout_sec: 120
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strict_output: true
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strict_stream_buffer: false
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console:
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adapter: "cli"
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target: "codex"
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session_id: "default"
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background: false
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timeout_sec: 240
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nodes:
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# id is the stable node identity; omitting it falls back to an auto UUID (dev only).
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# agent_kind selects the registration kind; omitting it defaults to "generic-node".
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# Allowed values: "generic-node" (default).
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#
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# Single-adapter example (legacy style — still supported):
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- id: "node-example-01"
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alias: "example-node"
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token: "<node-token>"
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agent_kind: "generic-node"
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adapters:
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ollama:
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enabled: false
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base_url: ""
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context_size: 0
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vllm:
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enabled: false
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endpoint: ""
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cli:
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enabled: true
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profiles:
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claude-tui:
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command: "claude"
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args:
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- "--dangerously-skip-permissions"
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env:
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- "TERM=xterm-256color"
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persistent: true
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terminal: true
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response_idle_timeout_ms: 5000
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startup_idle_timeout_ms: 5000
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mode: "persistent-lazy"
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codex:
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command: "codex"
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args:
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- "app-server"
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env: []
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persistent: false
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terminal: false
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mode: "codex-app-server"
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codex-exec:
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command: "codex"
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args:
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- "exec"
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- "--json"
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resume_args:
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- "exec"
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- "resume"
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- "--json"
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env: []
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persistent: false
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terminal: false
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output_format: "codex-json"
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mode: "codex-exec"
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runtime:
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concurrency: 1
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workspace_root: ""
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# Multi-adapter example: two Ollama instances + CLI profiles on one node.
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# Each ollama_instances entry requires a unique "name" within the node.
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# - id: "node-multi-01"
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# alias: "multi-engine-node"
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# token: "<node-token>"
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# adapters:
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# ollama_instances:
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# - name: "ollama-local"
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# enabled: true
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# base_url: "http://127.0.0.1:11434"
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# context_size: 131072
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# - name: "ollama-dgx"
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# enabled: true
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# base_url: "http://192.168.0.91:11434"
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# context_size: 262144
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# vllm_instances:
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# - name: "vllm-a100"
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# enabled: true
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# endpoint: "http://10.0.0.5:8000"
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# cli:
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# enabled: true
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# profiles:
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# claude:
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# command: "claude"
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# mode: "antigravity-print"
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# runtime:
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# concurrency: 4
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# workspace_root: "/workspace"
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