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* feat: s01-s14 docs quality overhaul — tool pipeline, single-agent, knowledge & resilience Rewrite code.py and README (zh/en/ja) for s01-s14, each chapter building incrementally on the previous. Key fixes across chapters: - s01-s04: agent loop, tool dispatch, permission pipeline, hooks - s05-s08: todo write, subagent, skill loading, context compact - s09-s11: memory system, system prompt assembly, error recovery - s12-s14: task graph, background tasks, cron scheduler All chapters CC source-verified. Code inherits fixes forward (PROMPT_SECTIONS, json.dumps cache, real-state context, can_start dep protection, etc.). * feat: s15-s19 docs quality overhaul — multi-agent platform: teams, protocols, autonomy, worktree, MCP tools Rewrite code.py and README (zh/en/ja) for s15-s19, the multi-agent platform chapters. Each chapter inherits all previous fixes and adds one mechanism: - s15: agent teams (TeamCreate, teammate threads, shared task list) - s16: team protocols (plan approval, shutdown handshake, consume_inbox) - s17: autonomous agents (idle polling, auto-claim, consume_lead_inbox) - s18: worktree isolation (git worktree, bind_task, cwd switching, safety) - s19: MCP tools (MCPClient, normalize_mcp_name, assemble_tool_pool, no cache) All appendix source code references verified against CC source. Config priority corrected: claude.ai < plugin < user < project < local. * fix: 5 regressions across s05-s19 — glob safety, todo validation, memory extraction, protocol types, dep crash - s05-s09: glob results now filter with is_relative_to(WORKDIR) (inherited from s02) - s06-s08: todo_write validates content/status required fields (inherited from s05) - s09: extract_memories uses pre-compression snapshot instead of compacted messages - s16: submit_plan docstring clarifies protocol-only (not code-level gate) - s17-s19: match_response restores type mismatch validation (from s16) - s17-s19: claim_task deps list handles missing dep files without crashing * fix: s12 Todo V2 logic reversal, s14/s15 cron range validation, s18/s19 worktree name validation - s12 README (zh/en/ja): fix Todo V2 direction — interactive defaults to Task, non-interactive/SDK defaults to TodoWrite. Fix env var name to CLAUDE_CODE_ENABLE_TASKS (not TODO_V2). - s14/s15: add _validate_cron_field with per-field range checks (minute 0-59, hour 0-23, dom 1-31, month 1-12, dow 0-6), step > 0, range lo <= hi. Replace old try/except validation that only caught exceptions. - s18/s19: add validate_worktree_name() to remove_worktree and keep_worktree, not just create_worktree. * fix: align s16-s19 teaching tool consistency * fix pr265 chapter diagrams * Add comprehensive s20 harness chapter * Fix chapter smoke test regressions * Clarify README tutorial track transition --------- Co-authored-by: Haoran <bill-billion@outlook.com>
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250
s20_comprehensive/README.en.md
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# s20: Comprehensive Agent — All Mechanisms, One Loop
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[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
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s01 → ... → s18 → s19 → `s20`
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> *"Many mechanisms, one loop"* — tools, permissions, memory, tasks, teams, and plugins all hang off the same `while True`.
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>
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> **Harness layer**: Comprehensive — put the previous 19 mechanisms back into one runnable system.
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---
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## Problem
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The first 19 chapters add one mechanism at a time. That is the right way to learn, but a real agent does not run with only one mechanism enabled.
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A long-running coding agent needs all of these at once:
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- tool dispatch and permission boundaries
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- hook extension points
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- todo planning and task graphs
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- skills, memory, and runtime system prompt assembly
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- compaction and error recovery
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- background tasks and cron scheduling
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- teams, protocols, autonomous claiming
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- worktree isolation
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- MCP external tool integration
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The hard part is not piling up features. The hard part is seeing where each mechanism belongs around the loop. S20 is the endpoint chapter: every component is placed back into one harness.
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---
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## Solution
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S20 does not invent a new mechanism. It merges the teaching components from the earlier chapters into one complete harness:
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```text
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user input
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→ UserPromptSubmit hooks
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→ cron/background notification injection
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→ context compact
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→ memory + skills + MCP state assemble the system prompt
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→ LLM
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→ has tool_use block?
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no → Stop hooks → return
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yes → PreToolUse hooks + permission
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→ TOOL_HANDLERS / MCP handlers / background dispatch
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→ PostToolUse hooks
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→ tool_result / task_notification back to messages
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→ next round
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```
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The loop is still the same structure: call the model, check whether the response contains a `tool_use` block, execute tools, append results back to `messages`. CC source does not directly trust `stop_reason == "tool_use"`; the actual presence of a tool_use block is the continuation signal. What changed is that the harness around the loop is now complete.
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---
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## Where Each Component Sits
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| Position | Component | Role |
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|----------|-----------|------|
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| Around user input | `UserPromptSubmit` hooks | Log, inject, or audit user input |
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| Before LLM | cron queue | Inject scheduled prompts into `messages` |
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| Before LLM | background notifications | Inject completed background work as `<task_notification>` |
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| Before LLM | compaction pipeline | Budget large outputs, trim history, compact old tool results, summarize when needed |
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| Before LLM | memory / skills / MCP state | Assemble the system prompt so the model sees current capabilities and long-term context |
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| LLM call | error recovery | Retry 429/529, escalate `max_tokens`, compact on prompt-too-long |
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| Before tool execution | `PreToolUse` hooks + permission | Block dangerous commands, out-of-bounds writes, destructive MCP tools |
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| Tool dispatch | `assemble_tool_pool` | Assemble built-in tools and dynamic MCP tools |
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| During tool execution | background dispatch | Move slow bash work into a daemon thread and return a placeholder result |
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| After tool execution | `PostToolUse` hooks | Large-output warnings, logs, post-processing |
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| Back to loop | tool_result | One `tool_result` per `tool_use`, then the next model round |
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| No tool_use this round / on stop | `Stop` hooks | Stats, cleanup, audit |
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---
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## What code.py Contains
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### Tools and Dispatch
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The built-in tool pool contains 27 tools:
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```text
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bash, read_file, write_file, edit_file, glob
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todo_write, task, load_skill, compact
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create_task, list_tasks, get_task, claim_task, complete_task
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schedule_cron, list_crons, cancel_cron
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spawn_teammate, send_message, check_inbox
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request_shutdown, request_plan, review_plan
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create_worktree, remove_worktree, keep_worktree
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connect_mcp
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```
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`assemble_tool_pool()` assembles these every round:
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```text
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BUILTIN_TOOLS + connected MCP tools
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BUILTIN_HANDLERS + mcp__server__tool handlers
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```
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After `connect_mcp("docs")`, the next round exposes tools like `mcp__docs__search`.
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### Permissions and Hooks
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Permission is not hardcoded into the tool execution line. It is a `PreToolUse` hook:
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```python
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blocked = trigger_hooks("PreToolUse", block)
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if blocked:
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results.append(tool_result(block.id, blocked))
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continue
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```
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That means permission, logging, and audit logic all attach to the same hook point. After execution, `PostToolUse` hooks run.
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### Planning and Tasks
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S20 keeps two planning layers:
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- `todo_write`: lightweight plan for the current session, written to `.tasks/current_todos.json`
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- task graph: cross-session, dependency-aware, claimable task files under `.tasks/task_*.json`
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The first keeps a single agent from drifting. The second supports team coordination.
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### Subagents and Teams
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S20 has two kinds of delegation:
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- `task`: one-shot subagent. It uses an isolated `messages[]`, discards intermediate context, and returns only a final summary.
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- `spawn_teammate`: persistent teammate thread. It communicates through `MessageBus`, polls the task board while idle, and can claim work autonomously.
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One-shot subagents solve context isolation. Persistent teammates solve long-running parallel collaboration.
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### Memory, Skills, and Prompt
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`assemble_system_prompt(context)` assembles each round from:
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- identity and tool guidance
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- workspace
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- skills catalog
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- `.memory/MEMORY.md`
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- connected MCP servers
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Skills only put their catalog into the system prompt. Full content is loaded on demand through `load_skill(name)`.
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### Compaction and Recovery
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Before the LLM call, S20 runs the compaction pipeline:
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```text
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tool_result_budget → snip_compact → micro_compact → compact_history
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```
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The model call is wrapped with recovery:
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- 429: exponential backoff retry
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- 529: exponential backoff, optionally switch to fallback model after repeated failures
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- `max_tokens`: raise max tokens, then request continuation
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- prompt too long: reactive compact and retry
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### Background and Cron
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Slow bash work does not block the main loop:
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```text
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should_run_background → start_background_task → placeholder tool_result
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background done → task_notification → next round injects messages
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```
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The cron scheduler runs as a daemon thread and checks once per second. The CLI watches `cron_queue`; when a job fires, it injects `[Scheduled] ...` and runs one agent turn automatically.
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### Worktree and MCP
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Worktree isolation owns directories:
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- `create_worktree(name, task_id)` creates an isolated branch and directory
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- the task `worktree` field binds a task to that directory
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- when a teammate claims a task with a worktree, its bash/read/write tools run in that directory
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MCP owns external capability:
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- `connect_mcp(name)` connects a mock server
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- `assemble_tool_pool()` assembles MCP tools into the tool pool
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- tool names use `mcp__server__tool`
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---
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## Changes from s19
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| Component | s19 | s20 |
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|-----------|-----|-----|
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| tool pool | built-in + MCP | built-in + MCP, with s01-s18 tools restored |
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| permission | omitted in teaching body | runs inside `PreToolUse` hook |
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| hooks | omitted | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
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| todo | omitted | `todo_write` + reminder |
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| skill | omitted | catalog in system prompt + `load_skill` |
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| compact | omitted | pre-LLM compaction + `compact` tool + reactive compact |
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| error recovery | simple try/except | retry / max_tokens / prompt too long |
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| background | omitted | slow-operation thread + task notification |
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| cron | omitted | daemon scheduler + durable jobs |
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| multi-agent | kept | kept; teammates use basic tools in isolated directories |
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| worktree | kept | kept |
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| MCP | new | kept as part of the final tool pool |
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---
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## Try It
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```sh
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cd learn-claude-code
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python s20_comprehensive/code.py
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```
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Try:
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1. `Create a todo list for inspecting this repo, then list Python files`
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2. `Connect to the docs MCP server and search for agent loop`
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3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
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4. `remind me of the meeting in 3 minutes.`
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5. `Run npm install in the background and continue reading README.md`
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Watch for:
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- whether each tool call passes through hooks/permission
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- whether MCP tools appear on the next round after `connect_mcp`
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- whether slow operations return a background placeholder
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- whether cron automatically reminds you when the time arrives
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- whether teammates submit plans and pause before approval
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- whether teammates can claim tasks after plan approval
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- whether teammates switch to the bound worktree directory
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---
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## The End Is the Beginning
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From s01 to s20, the code gets more capable, but the core remains unchanged:
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```python
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while True:
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response = LLM(messages, tools)
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if not has_tool_use(response.content):
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return
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results = execute_tools(response.content)
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messages.append(tool_results)
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```
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Claude Code's complexity is not "another agent brain." It is the complexity of a mature harness. The model decides and chooses actions; the harness organizes environment, tools, permissions, memory, teams, and external capabilities.
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This is the endpoint of the course: many mechanisms, one loop.
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250
s20_comprehensive/README.ja.md
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250
s20_comprehensive/README.ja.md
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@@ -0,0 +1,250 @@
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# s20: Comprehensive Agent — すべての仕組みを 1 つのループへ
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[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
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s01 → ... → s18 → s19 → `s20`
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> *"仕組みは多い、ループは 1 つ"* — tools、permissions、memory、tasks、teams、plugins はすべて同じ `while True` に接続される。
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>
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> **Harness レイヤー**: 総合 — 前 19 章の仕組みを 1 つの実行可能なシステムへ戻す。
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---
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## 問題
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前 19 章では、各章が 1 つの仕組みだけを追加した。学習にはその形が適している。しかし実際の agent は、1 つの仕組みだけで動くわけではない。
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長時間動く coding agent には、同時に次のものが必要になる:
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- tool dispatch と permission boundary
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- hook extension point
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- todo plan と task graph
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- skill、memory、runtime system prompt assembly
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- compaction と error recovery
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- background task と cron scheduling
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- team、protocol、autonomous claiming
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- worktree isolation
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- MCP external tool integration
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難しいのは機能を積み上げることではない。それぞれの仕組みが loop のどこに接続されるかを見抜くことだ。S20 は終点章であり、すべての component を 1 つの harness に戻す。
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---
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## 解決策
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S20 は新しい単独 mechanism を発明しない。前章までの teaching component を 1 つの完全な harness に統合する:
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```text
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user input
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→ UserPromptSubmit hooks
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→ cron/background notification injection
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→ context compact
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→ memory + skills + MCP state で system prompt を組み立てる
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→ LLM
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→ has tool_use block?
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no → Stop hooks → return
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yes → PreToolUse hooks + permission
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→ TOOL_HANDLERS / MCP handlers / background dispatch
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→ PostToolUse hooks
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→ tool_result / task_notification を messages へ戻す
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→ next round
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```
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loop 自体は同じ構造のままだ。model を呼び、response に `tool_use` block があるかを見て、tool を実行し、結果を `messages` に戻す。CC source でも `stop_reason == "tool_use"` を直接信頼せず、実際に tool_use block が出たかを continuation signal として扱う。変わったのは、loop の周囲の harness が完成形になったことだけ。
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---
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## 各 Component の位置
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| 位置 | Component | 役割 |
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|------|-----------|------|
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| user input 周辺 | `UserPromptSubmit` hooks | user input の記録、注入、監査 |
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| LLM 前 | cron queue | scheduled prompt を `messages` へ注入 |
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| LLM 前 | background notifications | 完了した background work を `<task_notification>` として注入 |
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| LLM 前 | compaction pipeline | 大きな出力を予算化し、履歴を切り、古い tool_result を圧縮し、必要なら要約 |
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| LLM 前 | memory / skills / MCP state | current capabilities と long-term context を system prompt に組み込む |
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| LLM call | error recovery | 429/529 retry、`max_tokens` escalation、prompt-too-long compact |
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| tool 実行前 | `PreToolUse` hooks + permission | 危険な command、範囲外 write、destructive MCP tool を止める |
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| tool dispatch | `assemble_tool_pool` | built-in tools と dynamic MCP tools を組み立てる |
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| tool 実行中 | background dispatch | 遅い bash work を daemon thread に逃がし、placeholder result を返す |
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| tool 実行後 | `PostToolUse` hooks | large-output warning、log、後処理 |
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| loop へ戻る | tool_result | 1 つの `tool_use` に 1 つの `tool_result`、そして次の model round |
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| tool_use がない round / stop 時 | `Stop` hooks | 統計、cleanup、audit |
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---
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## code.py に含まれるもの
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### Tools と Dispatch
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built-in tool pool には 27 個の tool がある:
|
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|
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```text
|
||||
bash, read_file, write_file, edit_file, glob
|
||||
todo_write, task, load_skill, compact
|
||||
create_task, list_tasks, get_task, claim_task, complete_task
|
||||
schedule_cron, list_crons, cancel_cron
|
||||
spawn_teammate, send_message, check_inbox
|
||||
request_shutdown, request_plan, review_plan
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||||
create_worktree, remove_worktree, keep_worktree
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connect_mcp
|
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```
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|
||||
`assemble_tool_pool()` は毎 round で次を組み立てる:
|
||||
|
||||
```text
|
||||
BUILTIN_TOOLS + connected MCP tools
|
||||
BUILTIN_HANDLERS + mcp__server__tool handlers
|
||||
```
|
||||
|
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`connect_mcp("docs")` のあと、次の round では `mcp__docs__search` のような tool が出現する。
|
||||
|
||||
### Permission と Hooks
|
||||
|
||||
permission は tool 実行行に直接埋め込まない。`PreToolUse` hook として扱う:
|
||||
|
||||
```python
|
||||
blocked = trigger_hooks("PreToolUse", block)
|
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if blocked:
|
||||
results.append(tool_result(block.id, blocked))
|
||||
continue
|
||||
```
|
||||
|
||||
これにより permission、logging、audit が同じ hook point に接続できる。実行後には `PostToolUse` hook が走る。
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|
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### Plan と Task
|
||||
|
||||
S20 には 2 層の plan がある:
|
||||
|
||||
- `todo_write`: current session 用の軽量 plan。`.tasks/current_todos.json` に保存。
|
||||
- task graph: cross-session、dependency-aware、claimable な task file。`.tasks/task_*.json` に保存。
|
||||
|
||||
前者は単独 agent の drift を防ぐ。後者は team coordination の土台になる。
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||||
|
||||
### Subagent と Team
|
||||
|
||||
S20 には 2 種類の delegation がある:
|
||||
|
||||
- `task`: one-shot subagent。独立した `messages[]` を使い、中間 context を捨て、final summary だけ返す。
|
||||
- `spawn_teammate`: persistent teammate thread。`MessageBus` で通信し、idle 中に task board を polling して自律的に claim できる。
|
||||
|
||||
one-shot subagent は context isolation を解決する。persistent teammate は長期並列協作を解決する。
|
||||
|
||||
### Memory、Skills、Prompt
|
||||
|
||||
`assemble_system_prompt(context)` は毎 round 次を組み立てる:
|
||||
|
||||
- identity と tool guidance
|
||||
- workspace
|
||||
- skills catalog
|
||||
- `.memory/MEMORY.md`
|
||||
- connected MCP servers
|
||||
|
||||
skills は system prompt には catalog だけ置く。全文は `load_skill(name)` で必要な時に読む。
|
||||
|
||||
### Compaction と Recovery
|
||||
|
||||
LLM call の前に compaction pipeline を走らせる:
|
||||
|
||||
```text
|
||||
tool_result_budget → snip_compact → micro_compact → compact_history
|
||||
```
|
||||
|
||||
model call は recovery で包む:
|
||||
|
||||
- 429: exponential backoff retry
|
||||
- 529: exponential backoff、連続失敗時は fallback model へ切替可能
|
||||
- `max_tokens`: max tokens を上げ、その後 continuation を要求
|
||||
- prompt too long: reactive compact 後に retry
|
||||
|
||||
### Background と Cron
|
||||
|
||||
遅い bash work は main loop を止めない:
|
||||
|
||||
```text
|
||||
should_run_background → start_background_task → placeholder tool_result
|
||||
background done → task_notification → next round injects messages
|
||||
```
|
||||
|
||||
cron scheduler は daemon thread として動き、1 秒ごとに確認する。CLI は `cron_queue` を監視し、発火した job を `[Scheduled] ...` として注入して Agent を 1 turn 自動実行する。
|
||||
|
||||
### Worktree と MCP
|
||||
|
||||
worktree isolation は directory を担当する:
|
||||
|
||||
- `create_worktree(name, task_id)` が isolated branch と directory を作る
|
||||
- task の `worktree` field が task と directory を紐付ける
|
||||
- teammate が worktree 付き task を claim すると、bash/read/write はその directory で実行される
|
||||
|
||||
MCP は external capability を担当する:
|
||||
|
||||
- `connect_mcp(name)` が mock server に接続する
|
||||
- `assemble_tool_pool()` が MCP tools を tool pool に組み立てる
|
||||
- tool name は `mcp__server__tool` 形式に統一する
|
||||
|
||||
---
|
||||
|
||||
## s19 からの変化
|
||||
|
||||
| Component | s19 | s20 |
|
||||
|-----------|-----|-----|
|
||||
| tool pool | built-in + MCP | built-in + MCP、s01-s18 の tool を補完 |
|
||||
| permission | teaching body では省略 | `PreToolUse` hook で実行 |
|
||||
| hooks | 省略 | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
|
||||
| todo | 省略 | `todo_write` + reminder |
|
||||
| skill | 省略 | system prompt の catalog + `load_skill` |
|
||||
| compact | 省略 | LLM 前 compaction + `compact` tool + reactive compact |
|
||||
| error recovery | simple try/except | retry / max_tokens / prompt too long |
|
||||
| background | 省略 | slow-operation thread + task notification |
|
||||
| cron | 省略 | daemon scheduler + durable jobs |
|
||||
| multi-agent | 維持 | 維持。teammate は isolated directory 上の basic tools を使う |
|
||||
| worktree | 維持 | 維持 |
|
||||
| MCP | 新規 | final tool pool の一部として維持 |
|
||||
|
||||
---
|
||||
|
||||
## 試す
|
||||
|
||||
```sh
|
||||
cd learn-claude-code
|
||||
python s20_comprehensive/code.py
|
||||
```
|
||||
|
||||
試す prompt:
|
||||
|
||||
1. `Create a todo list for inspecting this repo, then list Python files`
|
||||
2. `Connect to the docs MCP server and search for agent loop`
|
||||
3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
|
||||
4. `remind me of the meeting in 3 minutes.`
|
||||
5. `Run npm install in the background and continue reading README.md`
|
||||
|
||||
見るポイント:
|
||||
|
||||
- tool call の前に hooks/permission を通るか
|
||||
- `connect_mcp` 後の次 round で MCP tool が出るか
|
||||
- 遅い operation が background placeholder を返すか
|
||||
- cron が時刻到達時に自動で reminder を返すか
|
||||
- teammate が plan を提出し、approval 前に停止するか
|
||||
- plan approval 後、teammate が task を claim できるか
|
||||
- worktree binding 後、teammate が対応 directory に切り替わるか
|
||||
|
||||
---
|
||||
|
||||
## 終わりは始まり
|
||||
|
||||
s01 から s20 まで、コードの能力は増えていく。しかし中心は変わらない:
|
||||
|
||||
```python
|
||||
while True:
|
||||
response = LLM(messages, tools)
|
||||
if not has_tool_use(response.content):
|
||||
return
|
||||
results = execute_tools(response.content)
|
||||
messages.append(tool_results)
|
||||
```
|
||||
|
||||
Claude Code の複雑さは「別の agent brain」ではない。成熟した harness の複雑さだ。model は判断と action selection を担当する。harness は environment、tools、permissions、memory、teams、external capabilities を整理する。
|
||||
|
||||
これが本コースの終点だ:仕組みは多い、ループは 1 つ。
|
||||
250
s20_comprehensive/README.md
Normal file
250
s20_comprehensive/README.md
Normal file
@@ -0,0 +1,250 @@
|
||||
# s20: Comprehensive Agent — 全部机制,归到一个循环
|
||||
|
||||
[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
|
||||
|
||||
s01 → ... → s18 → s19 → `s20`
|
||||
|
||||
> *"机制很多,循环一个"* — 工具、权限、记忆、任务、团队、插件都挂在同一个 while True 上。
|
||||
>
|
||||
> **Harness 层**: 综合 — 把前 19 章的机制放回同一个可运行系统。
|
||||
|
||||
---
|
||||
|
||||
## 问题
|
||||
|
||||
前 19 章每章只加一个机制。这样适合学习,但真实 Agent 不会只带一个机制运行。
|
||||
|
||||
一个能长期工作的 coding agent 需要同时拥有:
|
||||
|
||||
- 工具分发和权限边界
|
||||
- hooks 扩展点
|
||||
- todo 计划和任务图
|
||||
- 技能、记忆、系统 prompt 组装
|
||||
- 压缩和错误恢复
|
||||
- 后台任务和 cron 调度
|
||||
- 团队、协议、自治认领
|
||||
- worktree 隔离
|
||||
- MCP 外部工具接入
|
||||
|
||||
难点不是把功能堆起来,而是看清楚它们都挂在循环的哪个位置。S20 就是终点章:把所有组件归位。
|
||||
|
||||
---
|
||||
|
||||
## 解决方案
|
||||
|
||||

|
||||
|
||||
S20 不是再发明一个新机制,而是把前面的教学组件合成一个完整 harness:
|
||||
|
||||
```text
|
||||
用户输入
|
||||
→ UserPromptSubmit hooks
|
||||
→ cron/background 通知注入
|
||||
→ context compact
|
||||
→ memory + skills + MCP 状态组装 system prompt
|
||||
→ LLM
|
||||
→ has tool_use block?
|
||||
否 → Stop hooks → 返回
|
||||
是 → PreToolUse hooks + permission
|
||||
→ TOOL_HANDLERS / MCP handlers / background dispatch
|
||||
→ PostToolUse hooks
|
||||
→ tool_result / task_notification 回 messages
|
||||
→ 下一轮
|
||||
```
|
||||
|
||||
循环本身仍然是同一个结构:调用模型,检查响应里是否出现 `tool_use` block,执行工具,把结果追加回 `messages`。CC 源码里也不直接信任 `stop_reason == "tool_use"`,而是以实际出现的 tool_use block 作为是否继续工具轮的信号。变化的是循环周围的 harness 变完整了。
|
||||
|
||||
---
|
||||
|
||||
## 组件在循环中的位置
|
||||
|
||||
| 位置 | 组件 | 作用 |
|
||||
|------|------|------|
|
||||
| 用户输入前后 | `UserPromptSubmit` hooks | 记录、注入、审计用户输入 |
|
||||
| LLM 前 | cron queue | 把定时触发的 prompt 注入 `messages` |
|
||||
| LLM 前 | background notifications | 后台任务完成后以 `<task_notification>` 注入 |
|
||||
| LLM 前 | compaction pipeline | 先压大输出,再裁历史,再压旧 tool_result,必要时摘要 |
|
||||
| LLM 前 | memory / skills / MCP state | 组装 system prompt,让模型看到当前能力和长期上下文 |
|
||||
| LLM 调用 | error recovery | 429/529 重试,`max_tokens` 升级,prompt too long 触发 reactive compact |
|
||||
| 工具执行前 | `PreToolUse` hooks + permission | 拦截危险命令、写越界、破坏性 MCP 工具 |
|
||||
| 工具分发 | `assemble_tool_pool` | 组装内置工具和 MCP 动态工具 |
|
||||
| 工具执行时 | background dispatch | 慢 bash 操作放 daemon thread,主循环先返回占位结果 |
|
||||
| 工具执行后 | `PostToolUse` hooks | 大输出告警、日志等后处理 |
|
||||
| 返回循环 | tool_result | 每个 `tool_use` 对应一个 `tool_result`,再回到下一轮 |
|
||||
| 本轮没有 tool_use / 停止时 | `Stop` hooks | 统计、清理、审计 |
|
||||
|
||||
---
|
||||
|
||||
## code.py 包含什么
|
||||
|
||||
### 工具与分发
|
||||
|
||||
内置工具池包含 27 个工具:
|
||||
|
||||
```text
|
||||
bash, read_file, write_file, edit_file, glob
|
||||
todo_write, task, load_skill, compact
|
||||
create_task, list_tasks, get_task, claim_task, complete_task
|
||||
schedule_cron, list_crons, cancel_cron
|
||||
spawn_teammate, send_message, check_inbox
|
||||
request_shutdown, request_plan, review_plan
|
||||
create_worktree, remove_worktree, keep_worktree
|
||||
connect_mcp
|
||||
```
|
||||
|
||||
`assemble_tool_pool()` 每轮组装:
|
||||
|
||||
```text
|
||||
BUILTIN_TOOLS + connected MCP tools
|
||||
BUILTIN_HANDLERS + mcp__server__tool handlers
|
||||
```
|
||||
|
||||
所以 `connect_mcp("docs")` 后,下一轮工具池里会出现 `mcp__docs__search`。
|
||||
|
||||
### 权限和 hooks
|
||||
|
||||
权限不写死在工具执行行里,而是作为 `PreToolUse` hook:
|
||||
|
||||
```python
|
||||
blocked = trigger_hooks("PreToolUse", block)
|
||||
if blocked:
|
||||
results.append(tool_result(block.id, blocked))
|
||||
continue
|
||||
```
|
||||
|
||||
这样 permission、log、审计都可以挂在同一个 hook 点上。执行后再触发 `PostToolUse`。
|
||||
|
||||
### 计划与任务
|
||||
|
||||
S20 同时保留两层计划:
|
||||
|
||||
- `todo_write`:当前会话内的轻量计划,写入 `.tasks/current_todos.json`
|
||||
- task graph:跨会话、可依赖、可认领的任务文件,写入 `.tasks/task_*.json`
|
||||
|
||||
前者帮助单个 Agent 不漂移;后者支撑团队协作。
|
||||
|
||||
### 子 agent 与团队
|
||||
|
||||
S20 有两种 delegation:
|
||||
|
||||
- `task`:一次性 subagent。独立 `messages[]`,中间过程丢弃,只返回最终摘要。
|
||||
- `spawn_teammate`:持久队友线程。通过 MessageBus 收发消息,能 idle 轮询任务板并自动认领。
|
||||
|
||||
一次性 subagent 解决“上下文隔离”;持久队友解决“长期并行协作”。
|
||||
|
||||
### 记忆、技能和 prompt
|
||||
|
||||
`assemble_system_prompt(context)` 每轮组装:
|
||||
|
||||
- 身份和工具说明
|
||||
- workspace
|
||||
- skills catalog
|
||||
- `.memory/MEMORY.md`
|
||||
- 已连接 MCP server
|
||||
|
||||
技能只在 system prompt 里放目录。完整内容通过 `load_skill(name)` 按需加载。
|
||||
|
||||
### 压缩和恢复
|
||||
|
||||
LLM 前先跑压缩管线:
|
||||
|
||||
```text
|
||||
tool_result_budget → snip_compact → micro_compact → compact_history
|
||||
```
|
||||
|
||||
调用模型时再包一层恢复:
|
||||
|
||||
- 429:指数退避重试
|
||||
- 529:指数退避,连续失败可切 fallback model
|
||||
- `max_tokens`:先提高 max_tokens,再要求 continuation
|
||||
- prompt too long:reactive compact 后重试
|
||||
|
||||
### 后台和 cron
|
||||
|
||||
慢 bash 操作不会阻塞主循环:
|
||||
|
||||
```text
|
||||
should_run_background → start_background_task → placeholder tool_result
|
||||
后台完成 → task_notification → 下一轮注入 messages
|
||||
```
|
||||
|
||||
cron 调度器独立 daemon thread 每秒检查一次。CLI 会监听 `cron_queue`,命中后主动把 `[Scheduled] ...` 注入并运行一轮 Agent。
|
||||
|
||||
### worktree 与 MCP
|
||||
|
||||
worktree 负责隔离目录:
|
||||
|
||||
- `create_worktree(name, task_id)` 创建独立分支和目录
|
||||
- task 的 `worktree` 字段绑定目录
|
||||
- 队友 claim 到带 worktree 的 task 后,bash/read/write 自动在对应目录下执行
|
||||
|
||||
MCP 负责外部能力:
|
||||
|
||||
- `connect_mcp(name)` 连接 mock server
|
||||
- `assemble_tool_pool()` 把 MCP 工具组装进工具池
|
||||
- 工具名统一为 `mcp__server__tool`
|
||||
|
||||
---
|
||||
|
||||
## 相对 s19 的变化
|
||||
|
||||
| 组件 | s19 | s20 |
|
||||
|------|-----|-----|
|
||||
| 工具池 | 内置 + MCP | 内置 + MCP,补齐 s01-s18 的工具 |
|
||||
| 权限 | 教学主体省略 | `PreToolUse` hook 中执行 |
|
||||
| hooks | 省略 | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
|
||||
| todo | 省略 | `todo_write` + reminder |
|
||||
| skill | 省略 | catalog in system prompt + `load_skill` |
|
||||
| compact | 省略 | LLM 前压缩 + `compact` 工具 + reactive compact |
|
||||
| error recovery | 简化 try/except | retry / max_tokens / prompt too long |
|
||||
| background | 省略 | 慢操作后台线程 + task notification |
|
||||
| cron | 省略 | daemon scheduler + durable jobs |
|
||||
| multi-agent | 保留 | 保留;队友使用隔离目录下的基础工具 |
|
||||
| worktree | 保留 | 保留 |
|
||||
| MCP | 新增 | 保留,作为最终工具池的一部分 |
|
||||
|
||||
---
|
||||
|
||||
## 试一下
|
||||
|
||||
```sh
|
||||
cd learn-claude-code
|
||||
python s20_comprehensive/code.py
|
||||
```
|
||||
|
||||
可以试:
|
||||
|
||||
1. `Create a todo list for inspecting this repo, then list Python files`
|
||||
2. `Connect to the docs MCP server and search for agent loop`
|
||||
3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
|
||||
4. `remind me of the meeting in 3 minutes.`
|
||||
5. `Run npm install in the background and continue reading README.md`
|
||||
|
||||
观察重点:
|
||||
|
||||
- 工具调用前是否经过 hooks/permission
|
||||
- `connect_mcp` 后下一轮是否出现 MCP 工具
|
||||
- 慢操作是否返回 background placeholder
|
||||
- 到点是不是自动提醒开会
|
||||
- 队友是否提交 plan,并在 approval 前暂停
|
||||
- plan 批准后,队友是否能认领任务
|
||||
- worktree 绑定后,队友是否切到对应目录
|
||||
|
||||
---
|
||||
|
||||
## 结束亦是开始
|
||||
|
||||
从 s01 到 s20,代码表面越来越复杂,但核心始终没变:
|
||||
|
||||
```python
|
||||
while True:
|
||||
response = LLM(messages, tools)
|
||||
if not has_tool_use(response.content):
|
||||
return
|
||||
results = execute_tools(response.content)
|
||||
messages.append(tool_results)
|
||||
```
|
||||
|
||||
Claude Code 的复杂性不是“另一个 agent 大脑”,而是一个成熟 harness 的复杂性。模型负责判断和行动选择;harness 负责把环境、工具、权限、记忆、团队和外部能力组织好。
|
||||
|
||||
这就是全书的终点:机制很多,循环一个。
|
||||
2068
s20_comprehensive/code.py
Normal file
2068
s20_comprehensive/code.py
Normal file
File diff suppressed because it is too large
Load Diff
85
s20_comprehensive/images/system-architecture.en.svg
Normal file
85
s20_comprehensive/images/system-architecture.en.svg
Normal file
@@ -0,0 +1,85 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 920 620" font-family="'Noto Sans CJK SC', 'Droid Sans Fallback', system-ui, -apple-system, sans-serif">
|
||||
<defs>
|
||||
<linearGradient id="header" x1="0" y1="0" x2="1" y2="0">
|
||||
<stop offset="0%" stop-color="#1e3a5f"/>
|
||||
<stop offset="100%" stop-color="#0f766e"/>
|
||||
</linearGradient>
|
||||
<marker id="arrow" viewBox="0 0 10 10" refX="10" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse">
|
||||
<path d="M 0 0 L 10 5 L 0 10 z" fill="#475569"/>
|
||||
</marker>
|
||||
<marker id="arrow-green" viewBox="0 0 10 10" refX="10" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse">
|
||||
<path d="M 0 0 L 10 5 L 0 10 z" fill="#059669"/>
|
||||
</marker>
|
||||
<marker id="arrow-purple" viewBox="0 0 10 10" refX="10" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse">
|
||||
<path d="M 0 0 L 10 5 L 0 10 z" fill="#7c3aed"/>
|
||||
</marker>
|
||||
<marker id="arrow-orange" viewBox="0 0 10 10" refX="10" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse">
|
||||
<path d="M 0 0 L 10 5 L 0 10 z" fill="#ea580c"/>
|
||||
</marker>
|
||||
</defs>
|
||||
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<text x="240" y="171" fill="#047857" font-size="8.5">compact + memory + prompt</text>
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<text x="475" y="146" text-anchor="middle" fill="#1e3a5f" font-size="12" font-weight="700">LLM</text>
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<text x="475" y="164" text-anchor="middle" fill="#64748b" font-size="8.5">stop_reason=tool_use?</text>
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<text x="650" y="140" text-anchor="middle" fill="#9a3412" font-size="11" font-weight="700">工具前闸门</text>
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<text x="590" y="158" fill="#c2410c" font-size="8.5">PreToolUse hooks</text>
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<text x="590" y="171" fill="#c2410c" font-size="8.5">permission pipeline</text>
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<text x="810" y="147" text-anchor="middle" fill="#1e3a5f" font-size="10" font-weight="700">handlers</text>
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<text x="810" y="164" text-anchor="middle" fill="#64748b" font-size="8">builtin + MCP</text>
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<text x="460" y="263" text-anchor="middle" fill="#64748b" font-size="9">tool_result / task_notification → messages[] → 下一轮</text>
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<!-- Top sidecars -->
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<text x="135" y="341" text-anchor="middle" fill="#065f46" font-size="11" font-weight="700">上下文与知识</text>
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<text x="58" y="362" fill="#047857" font-size="9">s07 skills catalog + load_skill</text>
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<text x="58" y="377" fill="#047857" font-size="9">s09 memory selection</text>
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<text x="58" y="392" fill="#047857" font-size="9">s10 prompt sections</text>
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<text x="58" y="407" fill="#047857" font-size="9">s08 compact pipeline</text>
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<text x="355" y="341" text-anchor="middle" fill="#9a3412" font-size="11" font-weight="700">治理与扩展点</text>
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<text x="278" y="362" fill="#c2410c" font-size="9">s03 permission</text>
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<text x="278" y="377" fill="#c2410c" font-size="9">s04 hooks</text>
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<text x="278" y="392" fill="#c2410c" font-size="9">s11 retry / fallback</text>
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<text x="278" y="407" fill="#c2410c" font-size="9">Stop hooks</text>
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<text x="498" y="362" fill="#6d28d9" font-size="9">s05 todo_write</text>
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<text x="498" y="377" fill="#6d28d9" font-size="9">s12 task graph</text>
|
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<text x="498" y="392" fill="#6d28d9" font-size="9">s13 background</text>
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<text x="498" y="407" fill="#6d28d9" font-size="9">s14 cron scheduler</text>
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<text x="790" y="341" text-anchor="middle" fill="#0f766e" font-size="11" font-weight="700">团队与插件</text>
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<text x="718" y="362" fill="#0f766e" font-size="9">s06 subagent</text>
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<text x="718" y="377" fill="#0f766e" font-size="9">s15-s17 team protocols</text>
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||||
<text x="718" y="392" fill="#0f766e" font-size="9">s18 worktree isolation</text>
|
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<text x="718" y="407" fill="#0f766e" font-size="9">s19 MCP tools</text>
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<!-- Tool pool -->
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<text x="460" y="487" text-anchor="middle" fill="#1e293b" font-size="12" font-weight="700">TOOL POOL: 27 builtins + dynamic mcp__server__tool</text>
|
||||
<text x="95" y="512" fill="#334155" font-size="9">file/shell: bash · read · write · edit · glob</text>
|
||||
<text x="95" y="530" fill="#334155" font-size="9">single-agent: todo_write · task · load_skill · compact</text>
|
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<text x="95" y="548" fill="#334155" font-size="9">durable work: create/list/get/claim/complete_task · schedule/list/cancel_cron</text>
|
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<text x="510" y="512" fill="#334155" font-size="9">team: spawn_teammate · send_message · check_inbox</text>
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||||
<text x="510" y="530" fill="#334155" font-size="9">protocol: request_shutdown · request_plan · review_plan</text>
|
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<text x="510" y="548" fill="#334155" font-size="9">isolation/plugin: create/remove/keep_worktree · connect_mcp</text>
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</svg>
|
||||
|
After Width: | Height: | Size: 7.8 KiB |
Reference in New Issue
Block a user