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oliver
b0e0c05d8a
Migrate prompt templates into runtime workspaces, add network_ops netx toolchain (latest batch injection, raw fields, SQL query), and align docs/tests/admin/runtime wiring so ops analysis can query netx detail data through stable role-scoped paths. Co-authored-by: Cursor <cursoragent@cursor.com>
105 lines
2.4 KiB
Markdown
105 lines
2.4 KiB
Markdown
# netx MCP Integration (same-host)
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This guide wires `oclaw` to the independent ops tool in:
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- `D:/project/chatgpt/netx`
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Assumption: `oclaw` and `netx` run on the same host.
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## 1) Start netx API
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In `D:/project/chatgpt/netx`:
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```powershell
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python -m pip install -r requirements.txt
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$env:NETX_DATABASE_URL = "postgresql+psycopg://netx:netx@127.0.0.1:5432/netx"
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$env:NETX_HOST = "127.0.0.1"
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$env:NETX_PORT = "8890"
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python -m netx_api.main
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```
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Health check:
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```powershell
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curl http://127.0.0.1:8890/health
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```
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## 2) Register netx MCP in oclaw Admin
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Use MCP install payload from:
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- `D:/project/chatgpt/netx/mcp_install_payload.json`
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Equivalent manual values:
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- `source_type`: `local`
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- `source_ref`: `netx-local-mcp`
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- `server_id`: `netx-local`
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- `entry_command`: `python`
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- `entry_args`: `["D:/project/chatgpt/netx/netx_api/mcp_server.py"]`
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- `timeout_s`: `30`
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Then run:
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1. `Health`
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2. `Sync Tools`
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Expected tools:
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- `queryAlarms`
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- `aggregateAlarms`
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- `getImportBatch`
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- `runDiagnostics`
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## 3) Bind to ops specialist
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In MCP specialist binding, include `netx-local` for your ops specialist/workspace.
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## 4) Use from chat
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After binding, model can call namespaced tools like:
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- `mcp__netx-local__queryAlarms`
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- `mcp__netx-local__aggregateAlarms`
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- `mcp__netx-local__getImportBatch`
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- `mcp__netx-local__runDiagnostics`
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## 5) External link in Admin
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`oclaw` admin sidebar includes an external link:
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- `Open netx ops tool` -> `http://127.0.0.1:5173/`
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If your netx host/port differs, update the link in:
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- `interfaces/admin/static/index.html`
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## 6) netx -> oclaw AP analyze auth
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`netx` can call:
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- `POST /admin/api/ops-ai/analyze-sync`
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- `GET /admin/api/ops-ai/health`
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Recommended auth:
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1. Set shared token in `oclaw` runtime env:
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- `OCLAW_OPS_AI_SHARED_TOKEN=<your_token>`
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2. Set same token in `netx`:
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- `NETX_OCLAW_ANALYZE_TOKEN=<your_token>`
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Then `netx /v1/ap/analyze` can invoke `oclaw` synchronously.
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**Timeouts:** `netx` → `oclaw` uses HTTP; `analyze-sync` often exceeds old ~35s limits. In netx set `NETX_OCLAW_ANALYZE_READ_TIMEOUT_SEC` (default `180` in `netx_api/config.py`) if you still see read timeouts on slow models or multi-tool turns.
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Integration health in netx:
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- `GET http://127.0.0.1:8890/v1/integrations/status`
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## 7) Observe AP calls in oclaw
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Recent ops-ai analyze calls can be fetched from:
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- `GET /admin/api/ops-ai/logs?limit=50&offset=0`
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Permission: `admin:user:write` (same as admin audit access).
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