# Agent Module

`apps/server/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, task dependency persistence |
| `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. Output files support `action` field (create/update/delete) for chat mode CRUD. Includes `writeErrandManifest()` for errand agent input files. |
| `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, chat, conflict-resolution, errand) + shared blocks (test integrity, deviation rules, git workflow, session startup, progress tracking) + 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}`.

## Errand Agent Support

### `sendUserMessage(agentId, message)`

Delivers a user message directly to a running or idle errand agent without going through the conversations table. Used by the `errand.sendMessage` tRPC procedure.

**Steps**: look up agent → validate status (`running`|`idle`|`waiting_for_input`) → validate `sessionId` → clear signal.json → update status to `running` → build resume command → stop active tailer/poll → spawn detached → start polling.

**Key difference from `resumeForConversation`**: no `conversationResumeLocks`, no conversations table entry, raw message passed as resume prompt.

### `writeErrandManifest(options)`

Writes errand input files to `<agentWorkdir>/.cw/input/`:

- `errand.md` — YAML frontmatter with `id`, `description`, `branch`, `project`
- `manifest.json` — `{ errandId, agentId, agentName, mode: "errand" }` (no `files`/`contextFiles` arrays)
- `expected-pwd.txt` — the agent workdir path

Written in order: `errand.md` first, `manifest.json` last (same discipline as `writeInputFiles`).

### `buildErrandPrompt(description)`

Builds the initial prompt for errand agents. Exported from `prompts/errand.ts` and re-exported from `prompts/index.ts`. The prompt instructs the agent to make only the changes needed for the description and write `signal.json` when done.

## Auto-Resume for Conversations

When Agent A asks Agent B a question via `cw ask` and Agent B is idle, the conversation router automatically resumes Agent B's session. This mirrors the `resumeForCommit()` pattern.

### Flow

1. `createConversation` tRPC procedure creates the conversation record
2. Target resolution prefers `running` agents, falls back to `idle` (previously only matched `running`)
3. After creation, checks if target agent is idle → calls `agentManager.resumeForConversation()`
4. Agent resumes with a prompt to: answer via `cw answer`, drain pending conversations via `cw listen`, then complete

### Guards

- Agent must be `idle` status with a valid `sessionId`
- Provider must support resume (`resumeStyle !== 'none'`)
- Worktree must still exist (`existsSync` check)
- In-memory `conversationResumeLocks` Set prevents double-resume race when multiple conversations arrive simultaneously
- Resume failure is caught and logged — conversation is always created even if resume fails

## 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), returns `{ name, absPath }[]`
2. If all clean → worktrees and logs removed immediately
3. If dirty → `resumeForCommit()` resumes the agent's session with a prompt listing **absolute paths** to dirty subdirectories, using `git add -u` (tracked files only) to avoid staging unrelated files
4. The agent `cd`s into each listed absolute path and commits tracked changes only
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, mode)` 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).

**Mode-aware branching:**

- **Planning modes** (`plan`, `refine`): Minimal block — just the agent ID and `cw ask` syntax for emergencies. These agents define high-level structure, not implementation details, so real-time coordination is almost never needed.
- **Execution + coordination modes** (`execute`, `detail`, `discuss`, `verify`, `merge`, `review`): Full protocol including:
  1. Commands table with accurate CLI behavior descriptions
  2. Numbered shell recipe for background listener lifecycle (start → check → answer → restart → cleanup)
  3. Targeting guidance (`--agent-id` vs `--task-id` vs `--phase-id`)
  4. Decision criteria: when to ask (uncommitted interfaces, shared file conflicts) and when NOT to ask (answer in codebase, answer in input files, not blocked, confirming approach)
  5. Good/bad examples using `<example label>` pattern
  6. Answering guidelines (be specific — include code snippets, file paths, type signatures)

### 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" }`

## Prompt Architecture

Mode-specific prompts in `prompts/` use XML tags as top-level structural delimiters, with markdown formatting inside tags. This separates first-order instructions from second-order content (task descriptions, examples, templates) per Anthropic best practices. The old `apps/server/agent/prompts.ts` (flat markdown) has been deleted.

### XML Tag Structure

All prompts follow a consistent tag ordering:
1. `<role>` — agent identity and mode
2. `<task>` — dynamic task content (execute mode only)
3. `<input_files>` — file format documentation
4. `<codebase_exploration>` — codebase grounding instructions (architect modes only)
5. `<output_format>` — what to produce, file paths, frontmatter
6. `<id_generation>` — ID creation via `cw id`
7. `<signal_format>` — completion signaling
8. `<session_startup>` — startup verification steps
9. Mode-specific tags (see below)
10. Rules/constraints tags
11. `<progress_tracking>` / `<context_management>`
12. `<definition_of_done>` — completion checklist
13. `<workspace>` — workspace layout (appended by manager)
14. `<inter_agent_communication>` — per-agent CLI instructions (appended by manager)

### Shared Blocks (`prompts/shared.ts`)

| Constant / Function | XML Tag | Content |
|---------------------|---------|---------|
| `SIGNAL_FORMAT` | `<signal_format>` | Done/questions/error via `.cw/output/signal.json` |
| `INPUT_FILES` | `<input_files>` | Manifest, assignment files, context files |
| `ID_GENERATION` | `<id_generation>` | `cw id` usage for generating entity IDs |
| `TEST_INTEGRITY` | `<test_integrity>` | No self-validating tests, no assertion mutation, no skipping, independent tests, full suite runs |
| `SESSION_STARTUP` | `<session_startup>` | Confirm working directory, check git state, establish green test baseline, read assignment |
| `PROGRESS_TRACKING` | `<progress_tracking>` | Maintain `.cw/output/progress.md` after each commit — survives context compaction |
| `DEVIATION_RULES` | `<deviation_rules>` | Typo→fix, bug→fix if small, missing dep→coordinate, architectural mismatch→STOP |
| `GIT_WORKFLOW` | `<git_workflow>` | Specific file staging (no `git add .`), no force-push, check status first |
| `CODEBASE_EXPLORATION` | `<codebase_exploration>` | Architect-mode codebase grounding: read project docs, explore structure, check existing patterns, use subagents for parallel exploration |
| `CONTEXT_MANAGEMENT` | `<context_management>` | Parallel file reads, cross-reference to progress tracking |
| `buildInterAgentCommunication()` | `<inter_agent_communication>` | Per-agent CLI instructions for `cw listen`, `cw ask`, `cw answer` |

### Mode-Specific Tags

| Mode | File | Mode-Specific Tags |
|------|------|--------------------|
| **execute** | `execute.ts` | `<task>`, `<execution_protocol>`, `<anti_patterns>`, `<scope_rules>` |
| **plan** | `plan.ts` | `<phase_design>`, `<dependencies>`, `<file_ownership>`, `<specificity>`, `<existing_context>` |
| **detail** | `detail.ts` | `<task_body_requirements>`, `<file_ownership>`, `<task_sizing>`, `<existing_context>` |
| **discuss** | `discuss.ts` | `<analysis_method>`, `<question_quality>`, `<decision_quality>`, `<question_categories>`, `<rules>` |
| **refine** | `refine.ts` | `<improvement_priorities>`, `<rules>` |
| **chat** | `chat.ts` | `<chat_history>`, `<instruction>` — iterative refinement loop, uses action field (create/update/delete) in output files, signals "questions" after each change to stay alive |

Examples within mode-specific tags use `<examples>` > `<example label="good">` / `<example label="bad">` nesting.

### Execute Prompt Dispatch

`buildExecutePrompt(taskDescription?)` accepts an optional task description wrapped in a `<task>` tag. The dispatch manager (`apps/server/dispatch/manager.ts`) wraps `task.description || task.name` in `buildExecutePrompt()` so execute agents receive full system context alongside their task. The `<workspace>` and `<inter_agent_communication>` blocks are appended by the agent manager at spawn time.
