docs: sync all README.md files with current codebase

- Root README: add all 9 packages to table, update architecture diagram, refresh CLI reference from uwf --help - New READMEs for 8 packages (cli-workflow, workflow-protocol, workflow-moderator, workflow-agent-kit, workflow-agent-hermes, workflow-agent-builtin, workflow-agent-claude-code, workflow-dashboard) - Updated workflow-util README to match current exports - All API sections verified against src/index.ts exports 小橘 🍊（NEKO Team）
2026-05-23 15:00:05 +00:00
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+# @uncaged/workflow-agent-builtin
+
+`uwf-builtin` agent — built-in LLM agent with file read/write and shell tools.
+
+## Overview
+
+Layer 3 agent implementation. Runs an OpenAI-compatible chat completion loop with built-in tools (`read_file`, `write_file`, `run_command`). Uses the configured provider/model from `config.yaml`. Produces frontmatter markdown output and stores turn-by-turn session detail in CAS.
+
+Useful when you want a self-contained agent without an external CLI like Hermes or Claude Code.
+
+**Dependencies:** `@uncaged/json-cas`, `@uncaged/workflow-agent-kit`, `@uncaged/workflow-util`
+
+## Installation
+
+Included as the `uwf-builtin` binary when you install `@uncaged/workflow-agent-builtin`:
+
+```bash
+bun add -g @uncaged/workflow-agent-builtin
+```
+
+## CLI Usage
+
+Invoked by `uwf thread step`:
+
+```bash
+uwf-builtin <thread-id> <role>
+```
+
+Configure as default agent:
+
+```bash
+uwf setup --agent builtin
+```
+
+Override per step:
+
+```bash
+uwf thread step <thread-id> --agent uwf-builtin
+```
+
+Environment variables set by the engine:
+
+| Variable | Purpose |
+|----------|---------|
+| `UWF_EDGE_PROMPT` | Moderator edge instruction for this step |
+
+## API
+
+All exports come from `src/index.ts`.
+
+### Agent factory
+
+```typescript
+function createBuiltinAgent(): () => Promise<void>
+function buildBuiltinMessages(ctx: AgentContext): ChatMessage[]
+```
+
+### LLM loop
+
+```typescript
+const BUILTIN_MAX_TURNS = 30;
+const BUILTIN_CONTINUE_MAX_TURNS = 5;
+
+function runBuiltinLoop(/* options: RunBuiltinLoopOptions */): Promise<RunBuiltinLoopResult>
+function chatCompletionWithTools(
+  provider: ResolvedLlmProvider,
+  messages: ChatMessage[],
+  tools: OpenAiToolDefinition[],
+): Promise<LlmAssistantResponse>
+```
+
+`RunBuiltinLoopOptions` and `RunBuiltinLoopResult` are internal to `loop.ts` and not re-exported from `index.ts`.
+
+### Tools
+
+```typescript
+function getBuiltinTools(): readonly BuiltinTool[]
+function executeBuiltinTool(
+  name: string,
+  args: Record<string, unknown>,
+  ctx: ToolContext,
+): Promise<string>
+```
+
+### Session and detail
+
+```typescript
+function initSessionDir(storageRoot: string): Promise<void>
+function appendSessionTurn(storageRoot: string, sessionId: string, turn: BuiltinTurnPayload): Promise<void>
+function readSessionTurns(storageRoot: string, sessionId: string): Promise<BuiltinTurnPayload[]>
+function removeSession(storageRoot: string, sessionId: string): Promise<void>
+function registerBuiltinSchemas(store: Store): Promise<BuiltinSchemaHashes>
+function storeBuiltinDetail(store: Store, payload: BuiltinDetailPayload): Promise<string>
+```
+
+### Types
+
+```typescript
+type ChatMessage = /* system | user | assistant | tool */;
+type LlmAssistantResponse = { content: string | null; toolCalls: LlmToolCall[] | null };
+type LlmToolCall = { id: string; name: string; arguments: string };
+type BuiltinTool = { name: string; description: string; parameters: Record<string, unknown> };
+type ToolContext = { cwd: string; storageRoot: string };
+type BuiltinDetailPayload = { /* session turns, model, timestamps */ };
+type BuiltinLoopTurn = { /* single loop iteration record */ };
+type BuiltinToolCallRecord = { /* tool call audit */ };
+type BuiltinToolResultRecord = { /* tool result audit */ };
+type BuiltinTurnPayload = { /* persisted turn */ };
+```
+
+## Internal Structure
+
+```
+src/
+├── index.ts
+├── cli.ts              Binary entrypoint
+├── agent.ts            createBuiltinAgent
+├── loop.ts             Multi-turn LLM + tool loop
+├── prompt.ts           buildBuiltinMessages
+├── session.ts          Session directory persistence
+├── detail.ts           CAS detail node storage
+├── schemas.ts          Builtin CAS schemas
+├── types.ts            Detail and turn payload types
+├── llm/
+│   ├── index.ts
+│   ├── llm.ts          chatCompletionWithTools
+│   └── types.ts        ChatMessage, LlmToolCall, etc.
+└── tools/
+    ├── index.ts        getBuiltinTools, executeBuiltinTool
+    ├── read-file.ts
+    ├── write-file.ts
+    ├── run-command.ts
+    ├── path.ts
+    └── types.ts
+```
+
+## Configuration
+
+Requires a configured OpenAI-compatible provider and model in `~/.uncaged/workflow/config.yaml` (via `uwf setup`). API keys are loaded from `~/.uncaged/workflow/.env`.
+
+Tools run with the current working directory as `ToolContext.cwd` (typically the directory where `uwf thread step` was invoked).