feat(S-402): Update docs/ai-cli-dispatch.md and docs/architecture.md
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+221
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@@ -9,8 +9,10 @@ Dispatch AI CLI coding tasks to available clients (Codex, Claude Code, OpenCode)
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- dispatch a prompt to a specific client by name
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- auto-resolve the best client from prompt keywords
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- forward arguments natively to each client
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- run tasks asynchronously as background jobs with lifecycle management
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- run tasks synchronously when blocking until completion is desired
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The tool is a lightweight sync-only dispatcher. It does not implement streaming, chat sessions, or ACP orchestration. For ACP-based harnesses, see `docs/openclaw-acp-orchestration.md`.
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The tool supports both async (default) and sync execution modes. Async jobs run as detached background processes and are tracked on disk. For ACP-based harnesses, see `docs/openclaw-acp-orchestration.md`.
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## Setup
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@@ -27,8 +29,14 @@ The dispatcher itself requires only Node.js 20+ and `npm`. The actual AI CLI cli
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```bash
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ai-cli-dispatch list [--json|--text]
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ai-cli-dispatch run --client <client> --prompt <prompt> [--json|--text]
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ai-cli-dispatch dispatch <prompt> [--client <client>] [--json|--text]
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ai-cli-dispatch run --client <client> --prompt <prompt> [--sync] [--timeout <ms>] [--debug] [--json|--text]
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ai-cli-dispatch dispatch <prompt> [--client <client>] [--sync] [--timeout <ms>] [--debug] [--json|--text]
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ai-cli-dispatch start --client <client> --prompt <prompt> [--timeout <ms>] [--debug] [--json|--text]
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ai-cli-dispatch status <job-id> [--json|--text]
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ai-cli-dispatch results <job-id> [--json|--text]
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ai-cli-dispatch cancel <job-id> [--json|--text]
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ai-cli-dispatch list-jobs [--status running|completed|failed] [--json|--text]
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ai-cli-dispatch cleanup-jobs [--max-age <number>[h|m|s|d]] [--json|--text]
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ai-cli-dispatch --help
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```
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@@ -71,12 +79,17 @@ ai-cli-dispatch list --text
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### `run`
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Execute a prompt directly through a named client.
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Execute a prompt directly through a named client. By default, this starts a background job and returns immediately.
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```bash
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# Async (default) — returns a job ID
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ai-cli-dispatch run --client codex --prompt "refactor this function"
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ai-cli-dispatch run --client claude --prompt "add tests for auth middleware"
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ai-cli-dispatch run --client opencode --prompt "migrate to ESM"
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# Sync — blocks until the client finishes
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ai-cli-dispatch run --client claude --prompt "add tests for auth middleware" --sync
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# With custom timeout and debug diagnostics
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ai-cli-dispatch run --client opencode --prompt "migrate to ESM" --timeout 600000 --debug
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```
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The prompt is forwarded with each client’s native argument shape:
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@@ -89,7 +102,7 @@ The prompt is forwarded with each client’s native argument shape:
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### `dispatch`
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Auto-resolve the client from prompt keywords, then execute.
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Auto-resolve the client from prompt keywords, then execute. Defaults to async; use `--sync` to block.
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```bash
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ai-cli-dispatch dispatch "use claude to write tests"
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@@ -112,6 +125,106 @@ Override auto-resolution explicitly:
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ai-cli-dispatch dispatch "fix the bug" --client claude
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```
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### `start`
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Explicitly start a background job (same as `run` without `--sync`). Useful when you want the async behavior unambiguously.
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```bash
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ai-cli-dispatch start --client codex --prompt "refactor this function"
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```
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### `status`
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Check the status of a background job.
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```bash
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ai-cli-dispatch status <job-id>
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```
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JSON output:
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```json
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{
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"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"client": "codex",
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"prompt": "refactor this function",
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"status": "running",
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"startedAt": "2026-05-19T12:34:56.789Z",
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"pid": 12345
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}
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```
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Statuses: `running`, `completed`, `failed`, `timed_out`, `cancelled`.
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### `results`
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Retrieve the execution result of a completed job.
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```bash
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ai-cli-dispatch results <job-id>
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```
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JSON output:
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```json
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{
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"stdout": "...",
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"stderr": "...",
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"exitCode": 0,
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"client": "codex",
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"durationMs": 45231
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}
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```
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Requires status `completed`. For `failed` or `timed_out` jobs, use `status` to see the captured error.
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### `cancel`
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Cancel a running job.
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```bash
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ai-cli-dispatch cancel <job-id>
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```
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### `list-jobs`
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List all tracked jobs, newest first.
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```bash
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ai-cli-dispatch list-jobs --json
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ai-cli-dispatch list-jobs --status running --json
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```
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### `cleanup-jobs`
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Remove job files older than a threshold. Default unit is hours.
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```bash
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ai-cli-dispatch cleanup-jobs --max-age 24h
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ai-cli-dispatch cleanup-jobs --max-age 30m
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```
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## Async vs Sync Mode
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By default, `run` and `dispatch` are **async**: they start a detached background process, persist a job record to disk, and return a job ID immediately. This is ideal for:
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- Fire-and-forget tasks that may run for minutes
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- Long-running codegen or migration tasks
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- Scenarios where the caller should not block
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Use `--sync` when you need:
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- The complete output before the next step
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- Synchronous composition in shell pipelines or scripts
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- Immediate error propagation to the calling process
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| Aspect | Async (default) | Sync (`--sync`) |
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|---|---|---|
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| Return value | Job ID + status | Full stdout/stderr + exit code |
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| Process model | Detached child, parent exits immediately | Attached child, parent waits |
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| Persistence | Job file written to disk | No job file |
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| Timeout | Enforced via `child.kill()` after `--timeout` | Enforced via `child.kill()` after `--timeout` |
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## Client Discovery
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Discovery searches `PATH` in this order for each client name:
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@@ -138,7 +251,8 @@ Example:
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"codex": "/usr/local/bin/codex",
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"claude": "/opt/homebrew/bin/claude"
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},
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"defaultClient": "claude"
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"defaultClient": "claude",
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"timeout": 300000
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}
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```
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@@ -162,17 +276,54 @@ Supported env vars:
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Default output is JSON. Use `--text` to stream raw `stdout`/`stderr` directly.
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JSON success shape (`run` and `dispatch`):
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### Sync JSON success shape (`run --sync`, `dispatch --sync`)
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```json
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{
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"stdout": "...",
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"stderr": "...",
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"exitCode": 0
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"exitCode": 0,
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"client": "codex",
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"durationMs": 45231
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}
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```
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JSON error shape:
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### Async JSON success shape (`run`, `dispatch`, `start`)
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"client": "codex",
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"status": "running"
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}
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```
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### Job status shape (`status`)
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```json
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{
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"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"client": "codex",
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"prompt": "refactor this function",
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"status": "running",
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"startedAt": "2026-05-19T12:34:56.789Z",
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"pid": 12345
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}
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```
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### Job result shape (`results`)
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```json
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{
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"stdout": "...",
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"stderr": "...",
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"exitCode": 0,
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"client": "codex",
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"durationMs": 45231
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}
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```
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### JSON error shape
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```json
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{
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@@ -185,7 +336,7 @@ Exit codes:
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| Code | Meaning |
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|---|---|
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| `0` | Success |
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| `1` | Missing/unknown command, missing argument, unknown client, resolution failure, or execution error |
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| `1` | Missing/unknown command, missing argument, unknown client, resolution failure, execution error, or job lifecycle error |
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## Error Handling Guidance
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@@ -205,11 +356,11 @@ Meaning: the prompt string was empty or whitespace-only.
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Action: supply a non-empty `--prompt` or positional prompt argument.
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### `Execution timed out after 300000ms`
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### `Execution timed out after 600000ms`
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Meaning: the client subprocess did not finish within the default 5-minute timeout.
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Meaning: the client subprocess did not finish within the timeout.
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Action: the client may be waiting for interactive input or the task is too large. Break the prompt into smaller pieces, or run the client directly to diagnose.
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Action: the client may be waiting for interactive input or the task is too large. Break the prompt into smaller pieces, increase `--timeout`, or run the client directly to diagnose. Async jobs that time out are recorded with status `timed_out`.
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### `Could not resolve client from prompt`
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@@ -217,6 +368,49 @@ Meaning: `dispatch` found no matching keyword and no `defaultClient` is configur
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Action: include a client name in the prompt (e.g., `"use claude to ..."`) or set `defaultClient` in config.
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### `Job "<job-id>" not found`
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Meaning: the requested job ID does not exist in the job store.
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Action: verify the job ID. Job files are stored under `~/.openclaw/ai-cli-dispatch/jobs/`. If the directory was cleaned or the host restarted, old jobs may have been removed.
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### `Job "<job-id>" result is not available (status: <status>)`
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Meaning: `results` was called on a job that has not finished (`running`) or finished unsuccessfully (`failed`, `timed_out`, `cancelled`).
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Action: poll `status` until the job reaches `completed`, or inspect `status` output for the error field.
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## Job Lifecycle Workflows
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### Fire-and-forget
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```bash
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JOB=$(ai-cli-dispatch run --client codex --prompt "refactor auth" --json | jq -r '.jobId')
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# caller continues immediately
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```
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### Poll until completion
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```bash
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JOB=$(ai-cli-dispatch start --client claude --prompt "write tests" --json | jq -r '.jobId')
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while [ "$(ai-cli-dispatch status "$JOB" --json | jq -r '.status')" = "running" ]; do
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sleep 5
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done
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ai-cli-dispatch results "$JOB" --json
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```
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### Sync one-shot
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```bash
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ai-cli-dispatch run --client opencode --prompt "fix lint" --sync --text
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```
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### Batch cleanup
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```bash
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ai-cli-dispatch cleanup-jobs --max-age 24h
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```
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## Common Flows
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### Check what is installed
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@@ -225,12 +419,18 @@ Action: include a client name in the prompt (e.g., `"use claude to ..."`) or set
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ai-cli-dispatch list --json
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```
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### Run a quick task through a specific client
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### Run a quick task through a specific client (async)
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```bash
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ai-cli-dispatch run --client codex --prompt "fix lint errors in src/app.ts"
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```
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### Run a quick task synchronously
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```bash
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ai-cli-dispatch run --client codex --prompt "fix lint errors in src/app.ts" --sync
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```
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### Let the tool pick the client from the prompt
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```bash
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@@ -245,14 +445,16 @@ ai-cli-dispatch dispatch "review this PR" --client claude
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## Coexistence with ACP
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`ai-cli-dispatch` is a direct subprocess dispatcher. It runs the client binary synchronously and returns its output. It is not an ACP agent and does not participate in ACP orchestration.
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`ai-cli-dispatch` is a direct subprocess dispatcher. It is not an ACP agent and does not participate in ACP orchestration.
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- Use `ai-cli-dispatch` when you need a quick, local, one-shot CLI execution.
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- Use `ai-cli-dispatch` when you need a quick, local, one-shot CLI execution or a background job.
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- Use ACP (`docs/openclaw-acp-orchestration.md`) when you need session-bound coding harnesses with thread context, multi-turn review, or orchestrator-managed verification gates.
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## Implementation Notes
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- The dispatcher is TypeScript/Node.js with a single external dependency (`minimist`).
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- Client arguments are hardcoded per tool to match each client’s stable CLI contract.
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- The default timeout is 5 minutes (`300_000` ms).
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- The default timeout is 10 minutes (`600_000` ms); override with `--timeout` or config.
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- On Windows, discovery uses `where` instead of `which` and `.exe` extensions are assumed.
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- Async jobs run as detached processes with `stdio: ["ignore", "pipe", "pipe"]` so the dispatcher can exit without waiting.
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- Job files are written atomically to `~/.openclaw/ai-cli-dispatch/jobs/<jobId>.json`.
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