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Codewalkers/docs/agent.md

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# Agent Module
`src/agent/` — Agent lifecycle management, output parsing, multi-provider support, and account failover.
## File Inventory
| File | Purpose |
|------|---------|
| `types.ts` | Core types: `AgentInfo`, `AgentManager` interface, `SpawnOptions`, `StreamEvent` |
| `manager.ts` | `MultiProviderAgentManager` — main orchestrator class |
| `process-manager.ts` | `AgentProcessManager` — worktree creation, command building, detached spawn |
| `output-handler.ts` | `OutputHandler` — JSONL stream parsing, completion detection, proposal creation, task dedup |
| `file-tailer.ts` | `FileTailer` — watches output files, fires parser + raw content callbacks |
| `file-io.ts` | Input/output file I/O: frontmatter writing, signal.json reading, tiptap conversion |
| `markdown-to-tiptap.ts` | Markdown to Tiptap JSON conversion using MarkdownManager |
| `index.ts` | Public exports, `ClaudeAgentManager` deprecated alias |
### Sub-modules
| Directory | Purpose |
|-----------|---------|
| `providers/` | Provider registry, presets (7 providers), config types |
| `providers/parsers/` | Provider-specific output parsers (Claude JSONL, generic line) |
| `accounts/` | Account discovery, config dir setup, credential management, usage API |
| `credentials/` | `AccountCredentialManager` — credential injection per account |
| `lifecycle/` | `LifecycleController` — retry policy, signal recovery, missing signal instructions |
| `prompts/` | Mode-specific prompt builders (execute, discuss, plan, detail, refine) + shared inter-agent communication instructions |
## Key Flows
### Spawning an Agent
1. **tRPC procedure** calls `agentManager.spawn(options)`
2. Manager generates alias (adjective-animal), creates DB record
3. `AgentProcessManager.createWorktree()` — creates git worktree at `.cw-worktrees/agent/<alias>/`
4. `file-io.writeInputFiles()` — writes `.cw/input/` with assignment files (initiative, pages, phase, task) and read-only context dirs (`context/phases/`, `context/tasks/`)
5. Provider config builds spawn command via `buildSpawnCommand()`
6. `spawnDetached()` — launches detached child process with file output redirection
7. `FileTailer` watches output file, fires `onEvent` (parsed stream events) and `onRawContent` (raw JSONL chunks) callbacks
8. `onRawContent` → DB insert via `createLogChunkCallback()``agent:output` event emitted (single emission point)
9. `OutputHandler.handleStreamEvent()` processes parsed events (session tracking, result capture — no event emission)
10. DB record updated with PID, output file path, session ID
11. `agent:spawned` event emitted
### Completion Detection
1. Polling detects process exit, `FileTailer.stop()` flushes remaining output
2. `OutputHandler.handleCompletion()` triggered
3. **Path resolution**: Uses `ActiveAgent.agentCwd` (recorded at spawn) to locate signal.json. Standalone agents run in a `workspace/` subdirectory under `agent-workdirs/<alias>/`, so the base `getAgentWorkdir()` path won't contain `.cw/output/signal.json`. Reconciliation and crash detection paths also probe for the `workspace/` subdirectory when `.cw/output` is missing at the base level.
4. **Primary path**: Reads `.cw/output/signal.json` from agent worktree
5. Signal contains `{ status: "done"|"questions"|"error", result?, questions?, error? }`
6. Agent DB status updated accordingly (idle, waiting_for_input, crashed)
7. For `done`: proposals created from structured output; `agent:stopped` emitted
8. For `questions`: parsed and stored as `pendingQuestions`; `agent:waiting` emitted
9. **Fallback**: If signal.json missing, lifecycle controller retries with instruction injection
### Account Failover
1. On usage-limit error, `markAccountExhausted(id, until)` called
2. `findNextAvailable(provider)` returns least-recently-used non-exhausted account
3. Agent re-spawned with new account's credentials
4. `agent:account_switched` event emitted
### Resume Flow
1. tRPC `resumeAgent` called with `answers: Record<string, string>`
2. Manager looks up agent's session ID and provider config
3. `buildResumeCommand()` creates resume command with session flag
4. `formatAnswersAsPrompt(answers)` converts answers to prompt text
5. New detached process spawned, same worktree, incremented session number
## Provider Configuration
Providers defined in `providers/presets.ts`:
| Provider | Command | Resume | Prompt Mode |
|----------|---------|--------|-------------|
| claude | `claude` | `--resume <id>` | native (`-p`) |
| claude-code | `claude` | `--resume <id>` | native |
| codex | `codex` | none | flag (`--prompt`) |
| aider | `aider` | none | flag (`--message`) |
| cline | `cline` | none | flag |
| continue | `continue` | none | flag |
| cursor-agent | `cursor` | none | flag |
Each provider config specifies: `command`, `args`, `resumeStyle`, `promptMode`, `structuredOutput`, `sessionId` extraction, `nonInteractive` options.
## Output Parsing
The `OutputHandler` processes JSONL streams from Claude CLI:
- `init` event → session ID extracted and persisted
- `text_delta` events → no-op in handler (output streaming handled by DB log chunks)
- `result` event → final result with structured data captured on `ActiveAgent`
- Signal file (`signal.json`) → authoritative completion status
**Output event flow**: `FileTailer.onRawContent()` → DB `insertChunk()``EventBus.emit('agent:output')`. This is the single emission point — no events from `handleStreamEvent()` or `processLine()`.
For providers without structured output, the generic line parser accumulates raw text.
## Credential Management
`AccountCredentialManager` in `credentials/` handles OAuth token lifecycle:
- `read()` — extracts `claudeAiOauth` from `.credentials.json`. Only `accessToken` is required; `refreshToken` and `expiresAt` may be null (setup tokens).
- `isExpired()` — returns false when `expiresAt` is null (setup tokens never "expire" from our perspective).
- `ensureValid()` — if expired and `refreshToken` exists, refreshes. If expired with no `refreshToken`, returns invalid with error.
### Setup Tokens
Setup tokens (from `claude setup-token`) are long-lived OAuth access tokens with no refresh token or expiry. Register via:
```sh
cw account add --token <token> --email user@example.com
```
Stored as `credentials: {"claudeAiOauth":{"accessToken":"<token>"}}` and `configJson: {"hasCompletedOnboarding":true}`.
## Auto-Cleanup & Commit Retries
After an agent completes (status → `idle`), `tryAutoCleanup` checks if its project worktrees have uncommitted changes:
1. `CleanupManager.getDirtyWorktreePaths()` runs `git status --porcelain` in each project subdirectory (not the parent `agent-workdirs/<alias>/` dir)
2. If all clean → worktrees and logs removed immediately
3. If dirty → `resumeForCommit()` resumes the agent's session with a prompt listing the specific dirty subdirectories (e.g. `- \`my-project/\``)
4. The agent `cd`s into each listed directory and commits
5. On next completion, cleanup runs again. `MAX_COMMIT_RETRIES` (1) limits retries — after that the workdir is left in place with a warning
The retry counter is cleaned up on: successful removal, max retries exceeded, or unexpected error. It is **not** cleaned up when a commit retry is successfully launched (so the counter persists across the retry cycle).
## Log Chunks
Agent output is persisted to `agent_log_chunks` table and drives all live streaming:
- `onRawContent` callback fires for every raw JSONL chunk from `FileTailer`
- DB insert → `agent:output` event emission (single source of truth for UI)
- No FK to agents — survives agent deletion
- Session tracking: spawn=1, resume=previousMax+1
- Read path (`getAgentOutput` tRPC): concatenates all DB chunks (no file fallback)
- Live path (`onAgentOutput` subscription): listens for `agent:output` events
- Frontend: initial query loads from DB, subscription accumulates raw JSONL, both parsed via `parseAgentOutput()`
## Inter-Agent Communication
Agents can communicate with each other via the `conversations` table, coordinated through CLI commands.
### Prompt Integration
`buildInterAgentCommunication(agentId)` function in `prompts/shared.ts` generates per-agent communication instructions. Called in `manager.ts` after agent record creation — the actual agent ID is injected directly into the prompt (no manifest.json indirection). Appended to the prompt regardless of mode. Instructions include:
1. Set up a background listener via temp-file redirect: `cw listen > $CW_LISTEN_FILE &`
2. Periodically check the temp file for incoming questions between work steps
3. Answer via `cw answer`, clear the file, restart the listener
4. Ask questions to peers via `cw ask --from <agentId> --agent-id|--task-id|--phase-id`
5. Kill the listener and clean up the temp file before writing `signal.json`
### Agent Identity
`manifest.json` includes `agentId` and `agentName` fields. The manager passes these from the DB record after agent creation. The agent ID is also injected directly into the prompt's communication instructions.
### CLI Commands
**`cw listen --agent-id <id>`**
- Subscribes to `onPendingConversation` SSE subscription, prints first pending as JSON, exits with code 0
- First yields any existing pending conversations from DB, then listens for `conversation:created` events
- Output: `{ conversationId, fromAgentId, question, phaseId?, taskId? }`
**`cw ask <question> --from <agentId> --agent-id|--task-id|--phase-id <target>`**
- Creates conversation, subscribes to `onConversationAnswer` SSE, prints answer text to stdout when answered
- Target resolution: `--agent-id` (direct), `--task-id` (find agent running task), `--phase-id` (find agent in phase)
**`cw answer <answer> --conversation-id <id>`**
- Calls `answerConversation`, prints `{ conversationId, status: "answered" }`