repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
ai-agent-book | chapter6/agent-with-event-trigger/server.py | .py | """
Event Server - FastAPI version with native async support for MCP tools
"""
import os
import logging
from datetime import datetime, timedelta
from typing import Dict, Any, Optional
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException, BackgroundTasks
from pydantic import BaseModel
f... | 468 | 15,159 |
ai-agent-book | chapter6/agent-with-event-trigger/example_with_mcp.py | .py | """
Example demonstrating the Event-Triggered Agent with MCP tools
"""
import os
import asyncio
from dotenv import load_dotenv
from agent import EventTriggeredAgent, SystemHintConfig, resolve_provider_and_key
from event_types import Event, EventType
# Load environment variables
load_dotenv()
async def main():
"... | 104 | 2,949 |
ai-agent-book | chapter6/agent-with-event-trigger/server_fastapi.py | .py | """
Event Server - FastAPI version with native async support for MCP tools
"""
import os
import logging
from datetime import datetime, timedelta
from typing import Dict, Any, Optional
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException, BackgroundTasks
from pydantic import BaseModel
f... | 417 | 12,895 |
ai-agent-book | chapter6/agent-with-event-trigger/unipile_mailbox_experiment.py | .py | #!/usr/bin/env python3
"""Run Chapter 4 Experiment 4-5 against a real Unipile mailbox.
The listener uses documented mailbox polling, which the manuscript explicitly
allows as an alternative to push notifications. It never substitutes local
mail files for provider objects. Missing/invalid credentials produce a durable
... | 761 | 35,690 |
ai-agent-book | chapter6/agent-with-event-trigger/test_unipile_mailbox_experiment.py | .py | """Offline contract tests; these are not substitutes for the live campaign receipt."""
from __future__ import annotations
import importlib.util
import json
import sys
from datetime import datetime, timezone
from pathlib import Path
import httpx
import pytest
HERE = Path(__file__).resolve().parent
MODULE_PATH = HERE... | 139 | 6,505 |
ai-agent-book | chapter6/agent-with-event-trigger/client.py | .py | """
Event Client - Send test events to the event-triggered agent
"""
import requests
import json
import time
import argparse
from datetime import datetime
from event_types import EventType
class EventClient:
"""Client to send events to the event-triggered agent server"""
def __init__(self, server_url: s... | 385 | 12,968 |
ai-agent-book | chapter6/agent-with-event-trigger/event_loop_demo.py | .py | """
event_loop_demo.py —— 事件驱动 Agent 的端到端演示（单进程、可离线运行）
本章"事件驱动的异步 Agent"一节指出：真正的"主动服务"不仅需要 Agent 能定时
检查世界，更需要世界能主动通知 Agent。本脚本用最小的代码把这一点跑起来——
1. 注册若干"事件触发器"（trigger source），每个触发器在后台线程里运行，
在事件真正发生的那一刻把一个结构化 Event 推入统一的事件队列：
- 一次性定时器 OneShotTimer —— 对应书中 set_timer 的"一次性定时器"
- 循环定时器 Recurring... | 398 | 17,593 |
ai-agent-book | chapter6/agent-with-event-trigger/event_types.py | .py | """
Event types for the event-triggered agent system
"""
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from typing import Dict, Any, Optional
class EventType(Enum):
"""Types of events that can trigger agent actions"""
# External input events
WEB_MESSAGE = "w... | 100 | 3,875 |
ai-agent-book | chapter6/agent-with-event-trigger/agent.py | .py | """
Event-Triggered AI Agent with System Hints
An agent that responds to events from various sources while maintaining
all the system hint features from the original implementation.
"""
import json
import os
import sys
import subprocess
import platform
import logging
import concurrent.futures
from typing import List, ... | 1,305 | 56,892 |
ai-agent-book | chapter6/agent-with-event-trigger/tests/test_server_null_result_lists.py | .py | """
Test suite locking out TypeError in event server response formatting
when handle_event returns a result dictionary with tool_calls or todo_list set to None.
"""
def test_server_result_formatting_handles_null_lists():
"""
Ensure event response dictionary formats tool_calls_count and todo_items without TypeE... | 31 | 1,006 |
ai-agent-book | chapter6/agent-with-event-trigger/tests/test_env_int.py | .py | """Regression test: malformed AGENT_PORT must not crash server startup.
Both server variants parsed AGENT_PORT with bare int() (one inside
build_parser's default, one in main), so AGENT_PORT=abc crashed with an
unhandled ValueError at startup. They now fall back to 8000 with a warning.
"""
import os
import sys
sys.pa... | 37 | 1,179 |
ai-agent-book | chapter6/agent-with-event-trigger/tests/test_code_interpreter.py | .py | """Regression tests for the code interpreter's execution namespace."""
import importlib.util
import sys
import types
import unittest
from pathlib import Path
from unittest.mock import patch
def _load_agent_module():
openai = types.ModuleType("openai")
openai.OpenAI = type("OpenAI", (), {})
mcp = types.M... | 74 | 2,128 |
ai-agent-book | chapter6/agent-with-event-trigger/tests/conftest.py | .py | """Test import bootstrap for the agent-with-event-trigger experiment."""
from pathlib import Path
import sys
EXPERIMENT_ROOT = Path(__file__).resolve().parents[1]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
| 10 | 252 |
ai-agent-book | chapter6/agent-with-event-trigger/tests/manual/demo.py | .py | """
Simple demo script to test the event-triggered agent locally
without needing the server/client architecture
"""
import os
import sys
from pathlib import Path
EXPERIMENT_ROOT = Path(__file__).resolve().parents[2]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
from agent imp... | 138 | 4,622 |
ai-agent-book | chapter6/controllable-tts/evaluate_audio_quality.py | .py | #!/usr/bin/env python3
"""Run a blinded, position-balanced audio study for Experiment 9-5.
The three clips already come from real Fish Audio S1 calls. This program asks a
real audio-capable Gemini model to listen to them in three different orders,
validates every returned score/evidence field, and writes a receipt wi... | 483 | 21,769 |
ai-agent-book | chapter6/controllable-tts/validate_artifacts.py | .py | #!/usr/bin/env python3
"""Validate real Fish S1 Experiment 9-5 media without making new API calls."""
from __future__ import annotations
import hashlib
import json
import platform
import subprocess
from datetime import datetime, timezone
from pathlib import Path
from evaluate_audio_quality import validate_study
HER... | 165 | 7,745 |
ai-agent-book | chapter6/controllable-tts/test_fish_s1.py | .py | import json
import subprocess
import pytest
from evaluate_audio_quality import DIMENSIONS, OUTPUTS, PERMUTATIONS, aggregate, validate_response
from markup import parse
from tts import concat_mp3, make_silence
from voice_library import EMOTIONS, SPEEDS, STYLES, load_voice_library
def test_native_s1_nonverbal_events_... | 92 | 3,283 |
ai-agent-book | chapter6/controllable-tts/voice_library.py | .py | """24-file Fish Audio S1 reference-voice library and its builder."""
from __future__ import annotations
import hashlib
import json
import os
import subprocess
from itertools import product
from pathlib import Path
from typing import Any
EMOTIONS = {
"neutral": "calm",
"happy": "happy",
"frustrated": "fru... | 127 | 5,158 |
ai-agent-book | chapter6/controllable-tts/demo.py | .py | #!/usr/bin/env python3
"""Experiment 9-5: Fish Audio S1 + a 24-reference voice library."""
from __future__ import annotations
import argparse
import json
import os
import re
import subprocess
from datetime import datetime, timezone
from pathlib import Path
from dotenv import load_dotenv
from markup import parse
fro... | 97 | 3,723 |
ai-agent-book | chapter6/controllable-tts/markup.py | .py | """
控制标记解析器（Control Markup Parser）
========================================
把带控制标记的文本解析成一串「片段」，每个片段要么是一段需要用某条参考语音
合成的语音（speech），要么是一段静音停顿（silence）。这一步对应书中「执行层
解析标记并映射到对应的参考语音」。
支持两类标记：
1) 状态标记（持续生效，直到被下一个同类标记改变）
[EMO:neutral|happy|frustrated|thinking] 或 [情感=中性|高兴|沮丧|思考]
[SPEED:normal|fast|slow] / [S... | 225 | 9,579 |
ai-agent-book | chapter6/controllable-tts/build_reference_library.py | .py | #!/usr/bin/env python3
import argparse
import os
from pathlib import Path
from dotenv import load_dotenv
from voice_library import DEFAULT_LIBRARY_DIR, build_reference_library
load_dotenv(Path(__file__).parent / ".env")
parser = argparse.ArgumentParser(description="Build 24 real Fish Audio S1 reference clips")
pars... | 20 | 864 |
ai-agent-book | chapter6/controllable-tts/tts.py | .py | """Fish Audio S1 zero-shot cloning execution layer."""
from __future__ import annotations
import os
import subprocess
import tempfile
from pathlib import Path
from typing import Any
from voice_library import DEFAULT_MANIFEST, load_voice_library, profile_key
MODEL = "s1"
def _session():
from fish_audio_sdk imp... | 125 | 4,101 |
ai-agent-book | chapter6/controllable-tts/tests/conftest.py | .py | import sys
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
| 8 | 169 |
ai-agent-book | chapter6/async-agent/runtime.py | .py | """Flux 异步 Agent 运行时（实验 4-6 核心）。
实现设计文档第 5 节的事件处理循环，重点覆盖实验 4-6 的四个能力：
1. 异步工具执行：run_terminal_command 立即返回占位符，任务在后台跑。
2. 事件队列与批量处理：非紧急事件进 pending，异步结果到达时一次性批量追加。
3. 打断机制：用户"取消/停止"立即取消当前 turn + 所有异步工具，并留痕。
4. 并行工具的取消与状态查询：query_task / cancel_task 按 ID 操作；
异步完成后以"新事件"把真实结果注入对话。
架构（三个协程协作，全部基于 asyncio 单线程）：
... | 407 | 18,970 |
ai-agent-book | chapter6/async-agent/analysis_worker.py | .py | #!/usr/bin/env python3
"""Bounded analysis executable used by the Experiment 4-6 task manager."""
from __future__ import annotations
import argparse
import hashlib
import json
import re
import time
from pathlib import Path
def analyze(path: Path, job: str) -> dict:
data = path.read_bytes()
text = data.decod... | 55 | 1,914 |
ai-agent-book | chapter6/async-agent/test_real_tasks.py | .py | """Contract tests for real subprocess-backed Experiment 4-6 tasks."""
from __future__ import annotations
import asyncio
import hashlib
import json
import os
import sys
from pathlib import Path
import pytest
HERE = Path(__file__).resolve().parent
sys.path.insert(0, str(HERE))
import tasks
def test_unapproved_comm... | 83 | 2,796 |
ai-agent-book | chapter6/async-agent/test_checkpoint_robustness.py | .py | """
Test suite locking out TypeError and FileNotFoundError in AgentRuntime checkpointing
when tasks is None, trajectory is None, or destination directory doesn't exist.
"""
import json
import os
import sys
import tempfile
from unittest.mock import MagicMock
sys.path.insert(0, os.path.abspath(os.path.dirname(__file__)... | 101 | 3,597 |
ai-agent-book | chapter6/async-agent/demo.py | .py | """实验 4-6 命令行入口：带并行执行、打断/取消与状态管理的异步 Agent。
本脚本提供两类演示，用子命令区分：
【离线演示】不需要任何 API key，直接测量异步运行时的底层行为——
python demo.py parallel 并行 vs 串行工具调用的墙钟时间对比（打印加速比）
python demo.py interrupt 长任务运行中被打断/取消，随后系统恢复
python demo.py state Agent 状态检查点持久化 + 跨会话恢复并校验
python demo.py offline 依次运行上面全部... | 272 | 12,014 |
ai-agent-book | chapter6/async-agent/run_real_experiment.py | .py | #!/usr/bin/env python3
"""Run all four Experiment 4-6 scenarios with real child processes."""
from __future__ import annotations
import argparse
import asyncio
import hashlib
import json
import re
import time
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
import tasks
from ta... | 424 | 18,973 |
ai-agent-book | chapter6/async-agent/async_demos.py | .py | """离线演示：不依赖任何 LLM / API key，直接驱动异步运行时的底层原语。
`demo.py` 里的四个「场景」需要真实 LLM 做决策；本模块则把实验 4-6 的三项核心
异步能力单独拎出来，用可测量、可复现的方式演示，**无需联网、无需 API key**：
- demo_parallel ：并行 vs 串行工具调用的【墙钟时间】对比（真实测量，打印加速比）。
- demo_interrupt ：长任务运行中被【打断/取消】，随后系统【恢复】并接受新任务。
- demo_state ：Agent 状态【检查点持久化】到磁盘，再【跨会话恢复】并校验。
这三个演示共同回答「异步到底带来了什么」... | 221 | 11,093 |
ai-agent-book | chapter6/async-agent/test_real_experiment.py | .py | """Acceptance-ledger regression tests for the durable Experiment 4-6 run."""
from __future__ import annotations
import copy
import importlib.util
import json
import sys
from pathlib import Path
HERE = Path(__file__).resolve().parent
sys.path.insert(0, str(HERE))
PATH = HERE / "run_real_experiment.py"
SPEC = importli... | 104 | 4,412 |
ai-agent-book | chapter6/async-agent/tasks.py | .py | """Real, bounded asynchronous terminal jobs for Experiment 4-6.
Commands are parsed without a shell and resolved through an explicit allowlist
to ``analysis_worker.py``. Each job is a real child process whose stdout drives
progress. Cancellation terminates that OS process; completion returns metrics
computed from a re... | 283 | 11,699 |
ai-agent-book | chapter6/async-agent/events.py | .py | """事件模型（对应设计文档中的 Event / Trajectory 概念）。
Flux 把 Agent 的一切经历都抽象成"事件"，按时间顺序追加到轨迹（trajectory）里。
本文件定义事件类型、事件对象，以及"事件紧急度"的判定逻辑——这是实验 4-6 里
"批量处理 vs 立即打断"两种处理机制的分类依据。
"""
from __future__ import annotations
import time
from dataclasses import dataclass, field
from typing import Optional
class EventType:
"""事件类型常量（对应... | 92 | 4,135 |
ai-agent-book | chapter6/async-agent/tests/test_tasks_env.py | .py | """回归测试：FLUX_TICK_REAL 等浮点环境变量非法时不得让模块导入崩溃。
tasks.py 原来在模块导入时用裸 float() 解析 FLUX_TICK_REAL，
FLUX_TICK_REAL=abc 会让整个演示脚本以 ValueError 崩溃；现在回退到默认值并打印警告。
"""
import importlib
import os
import sys
sys.path.insert(0, os.path.dirname(__file__))
import tasks
def test_env_float_falls_back_on_malformed(monkeypatch, capsys):
... | 36 | 1,191 |
ai-agent-book | chapter6/async-agent/tests/conftest.py | .py | """Test import bootstrap for the async-agent experiment."""
from pathlib import Path
import sys
EXPERIMENT_ROOT = Path(__file__).resolve().parents[1]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
| 10 | 239 |
ai-agent-book | chapter6/gemini-xlerobot-navigation/xlerobot_tool_contract.py | .py | """Book-local semantic tool contract for the optional RoboCrew/XLeRobot run.
The pinned navigation checkout exposes base-motion helpers, not a stable
semantic arm API. This module is therefore an explicit adapter boundary: the
local GPU experiment validates the contract, while a hardware integrator must
map each prim... | 47 | 2,041 |
ai-agent-book | chapter6/gemini-xlerobot-navigation/validate_evidence.py | .py | #!/usr/bin/env python3
"""Validate the local GPU desktop-planning evidence for Experiment 9-9."""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from pathlib import Path
from typing import Any
EXPECTED_TOOL_NAMES = ["observe_scene", "pick", "place", "verify_state", "stop"]
... | 97 | 5,076 |
ai-agent-book | chapter6/gemini-xlerobot-navigation/desktop_planner.py | .py | #!/usr/bin/env python3
"""Experiment 9-9: desktop manipulation planning with a local GPU backend.
The local run keeps the RoboCrew-style tool contract and the XLeRobot adapter
boundary, but executes against a deterministic tabletop simulator. This
makes planner, postcondition, retry and short-horizon world-model beha... | 286 | 14,793 |
ai-agent-book | chapter6/gemini-xlerobot-navigation/test_validator.py | .py | import json
import unittest
from pathlib import Path
from validate_evidence import validate
class EvidenceGateTests(unittest.TestCase):
def test_local_gpu_evidence_is_accepted(self):
run = Path(__file__).parent / "validation" / "runs" / "local-gpu" / "evidence.json"
if not run.is_file():
... | 33 | 1,713 |
ai-agent-book | chapter6/computer-use-open-model/evidence.py | .py | """Small, dependency-free helpers for retaining Computer Use evidence."""
from __future__ import annotations
import copy
import hashlib
import json
import shutil
from pathlib import Path
from typing import Any
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
... | 75 | 2,768 |
ai-agent-book | chapter6/computer-use-open-model/main.py | .py | """Run a visual Browser Use trajectory through an open-model API endpoint."""
from __future__ import annotations
import argparse
import asyncio
import hashlib
import importlib.metadata
import json
import os
import sys
import traceback
from datetime import datetime, timezone
from pathlib import Path
from typing import... | 274 | 9,580 |
ai-agent-book | chapter6/computer-use-open-model/validate_run.py | .py | """Validate a retained open-model Computer Use run without another model call."""
from __future__ import annotations
import argparse
import json
import re
from pathlib import Path
from typing import Any
from evidence import sha256_file, write_json, write_manifest
SECRET_PATTERNS = (
re.compile(r"sk-or-v1-[A-Za-... | 229 | 8,345 |
ai-agent-book | chapter6/computer-use-open-model/config.py | .py | """Configuration for the provider-neutral Computer Use companion."""
from __future__ import annotations
from collections.abc import Mapping
from dataclasses import dataclass
from os import environ as process_environ
from urllib.parse import urlparse
DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
DEFAULT_MODEL = "... | 80 | 2,717 |
ai-agent-book | chapter6/computer-use-open-model/tests/test_evidence.py | .py | import json
from pathlib import Path
from evidence import retain_step_screenshots, sha256_file, write_json, write_manifest
def test_screenshots_are_copied_and_history_is_rewritten(tmp_path: Path) -> None:
temporary_screenshot = tmp_path / "temporary.png"
temporary_screenshot.write_bytes(b"not-a-real-png-but-... | 36 | 1,481 |
ai-agent-book | chapter6/computer-use-open-model/tests/test_config.py | .py | import pytest
from config import DEFAULT_BASE_URL, DEFAULT_MODEL, ConfigError, resolve_endpoint
def test_openrouter_reference_route() -> None:
endpoint = resolve_endpoint({"OPENROUTER_API_KEY": "secret"})
assert endpoint.api_key == "secret"
assert endpoint.api_key_env == "OPENROUTER_API_KEY"
assert e... | 44 | 1,567 |
ai-agent-book | chapter6/computer-use-open-model/tests/conftest.py | .py | import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
| 5 | 98 |
ai-agent-book | chapter6/end-to-end-speech/prepare_fixtures.py | .py | #!/usr/bin/env python3
"""Regenerate the small synthetic WAV fixtures used by Experiment 9-4."""
from __future__ import annotations
import shutil
import subprocess
from pathlib import Path
HERE = Path(__file__).resolve().parent
FIXTURES = HERE / "fixtures"
UTTERANCES = {
"boxes-79.wav": (145, 50, "A shop has t... | 39 | 1,307 |
ai-agent-book | chapter6/end-to-end-speech/speech_model.py | .py | """Native local MiniCPM-o 4.5 inference for Experiment 9-4."""
from __future__ import annotations
import hashlib
import time
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any
MODEL_ID = "openbmb/MiniCPM-o-4_5"
MODEL_REVISION = "1f761131fa83f5ed3cd6f2f22b225c4501d154fa"
@dat... | 215 | 7,250 |
ai-agent-book | chapter6/end-to-end-speech/validate_evidence.py | .py | #!/usr/bin/env python3
"""Fail-closed validation for a retained Experiment 9-4 local run."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
from speech_model import MODEL_ID, MODEL_REVISION, sha256_file
HERE = Path(__file__).resolve().parent
def validate(evidence_path: Pa... | 68 | 2,717 |
ai-agent-book | chapter6/end-to-end-speech/demo.py | .py | #!/usr/bin/env python3
"""Run the local MiniCPM-o 4.5 direct-vs-self-cascade campaign."""
from __future__ import annotations
import argparse
import json
import platform
import re
import subprocess
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from speech_model import MODEL_I... | 166 | 6,571 |
ai-agent-book | chapter6/end-to-end-speech/tests/test_speech_model.py | .py | from pathlib import Path
import pytest
from speech_model import MiniCPMOClient, sha256_file
def test_sha256_file(tmp_path):
path = tmp_path / "sample"
path.write_bytes(b"abc")
assert sha256_file(path) == "ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad"
def test_inference_requires_loa... | 26 | 840 |
ai-agent-book | chapter6/end-to-end-speech/tests/test_demo.py | .py | import pytest
from demo import load_cases, matches_expected
def test_expected_match_uses_word_boundaries():
assert matches_expected("The answer is 79.", ["79"])
assert matches_expected("FAST", ["fast"])
assert not matches_expected("The answer is 179.", ["79"])
def test_case_manifest_validation(tmp_path... | 17 | 485 |
ai-agent-book | chapter6/end-to-end-speech/tests/test_validate_evidence.py | .py | import json
import wave
from pathlib import Path
from speech_model import MODEL_ID, MODEL_REVISION, sha256_file
from validate_evidence import validate
def test_complete_evidence_passes(tmp_path):
wav = tmp_path / "answer.wav"
with wave.open(str(wav), "wb") as handle:
handle.setnchannels(1)
ha... | 54 | 1,700 |
ai-agent-book | chapter6/xlerobot-teleoperation/preflight.py | .py | #!/usr/bin/env python3
"""Read-only preflight for the pinned Experiment 9-8 reproduction track."""
from __future__ import annotations
import argparse
import importlib.util
import json
import platform
import subprocess
from datetime import datetime, timezone
from pathlib import Path
COMMIT = "3d14695e40c9c68229c0aacf... | 78 | 3,741 |
ai-agent-book | chapter6/xlerobot-teleoperation/validate_evidence.py | .py | #!/usr/bin/env python3
"""Validate the honest local GPU evidence for Experiment 9-8."""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from pathlib import Path
from typing import Any
def file_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") ... | 77 | 3,222 |
ai-agent-book | chapter6/xlerobot-teleoperation/teleop.py | .py | #!/usr/bin/env python3
"""Experiment 9-8: local GPU expert-control upper-bound benchmark.
This is the reproducible, non-actuating companion for the chapter. It uses a
small batched tabletop simulator to measure what a perfect teleoperator-like
controller can do. The pinned XLeRobot hardware path remains an optional,... | 147 | 7,095 |
ai-agent-book | chapter6/xlerobot-teleoperation/test_validator.py | .py | import json
import subprocess
import sys
import unittest
from pathlib import Path
from validate_evidence import validate
class EvidenceGateTests(unittest.TestCase):
def test_local_gpu_evidence_is_accepted(self):
run = Path(__file__).parent / "validation" / "runs" / "local-gpu" / "evidence.json"
i... | 39 | 1,479 |
ai-agent-book | chapter6/streaming-speech/test_streaming.py | .py | import numpy as np
from qwen2_streaming import parse_response
from whisper_baseline import energy_vad_endpoints, energy_vad_events
def test_qwen_json_and_native_event_token_parsing():
transcript, events = parse_response('{"transcript":"你好","acoustic_events":["noise", "<|laughter|>"]}')
assert transcript == "... | 27 | 979 |
ai-agent-book | chapter6/streaming-speech/test_official_experiment.py | .py | import hashlib
import json
import re
from pathlib import Path
ROOT = Path(__file__).resolve().parent
RUN = ROOT / "validation" / "runs" / "exp9-3-qwen2audio-whisper-provenance-20260730-v3"
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
while chunk := ha... | 82 | 3,642 |
ai-agent-book | chapter6/streaming-speech/prepare_scenarios.py | .py | #!/usr/bin/env python3
"""Create normal, long-pause and background-noise variants from one WAV."""
import argparse
import subprocess
from pathlib import Path
parser = argparse.ArgumentParser()
parser.add_argument("source", type=Path)
parser.add_argument("output_dir", type=Path)
args = parser.parse_args()
args.output_... | 41 | 1,525 |
ai-agent-book | chapter6/streaming-speech/run_official_experiment.py | .py | #!/usr/bin/env python3
"""Run Experiment 9-3 unchanged and bind local-model/audio/source provenance."""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import re
import subprocess
import sys
import time
from datetime import datetime, timezone
from pathlib import Path
from typin... | 312 | 11,780 |
ai-agent-book | chapter6/streaming-speech/test_whisper_baseline.py | .py | import sys
from pathlib import Path
import numpy as np
sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "chapter9" / "streaming-speech"))
from whisper_baseline import energy_vad_events
def test_energy_vad_events_handles_empty_audio_array():
"""Empty or zero-length audio array must return an empt... | 16 | 486 |
ai-agent-book | chapter6/streaming-speech/interruption_manager.py | .py | """Duplex Interruption Manager for Real-Time Streaming Speech Systems.
Monitors real-time Voice Activity Detection (VAD) energy signals during active TTS audio playback,
enabling instant audio stream cancellation upon user barge-in, dialogue context truncation,
and re-planning trigger generation.
"""
from __future__ ... | 386 | 16,095 |
ai-agent-book | chapter6/streaming-speech/whisper_baseline.py | .py | """VAD + Whisper comparison baseline for Experiment 9-3."""
from __future__ import annotations
import time
from dataclasses import asdict, dataclass
from pathlib import Path
try:
import librosa
import soundfile as sf
except ImportError:
librosa = None
sf = None
import numpy as np
@dataclass
class B... | 142 | 5,331 |
ai-agent-book | chapter6/streaming-speech/demo.py | .py | #!/usr/bin/env python3
"""Run Qwen2-Audio growing-prefix perception against VAD + Whisper."""
from __future__ import annotations
import argparse
import hashlib
import importlib.metadata
import json
import os
import platform
import subprocess
import unicodedata
from datetime import datetime, timezone
from pathlib impo... | 221 | 9,733 |
ai-agent-book | chapter6/streaming-speech/qwen2_streaming.py | .py | """Qwen2-Audio growing-prefix inference for Experiment 9-3."""
from __future__ import annotations
import json
import ast
import re
import time
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any, Callable
import librosa
EVENT_ALIASES = {
"noise": "<|noise|>",
"backgrou... | 188 | 6,995 |
ai-agent-book | chapter6/rgb-sim2real-grasping/pipeline.py | .py | #!/usr/bin/env python3
"""Experiment 9-10: RGB domain-transfer benchmark on the local GPU.
The benchmark is intentionally self-contained. It trains a small RGB policy
on a source visual domain and evaluates it on a shifted target domain, with
and without domain randomization. It is a production-grade local proxy for... | 215 | 12,439 |
ai-agent-book | chapter6/rgb-sim2real-grasping/preflight.py | .py | #!/usr/bin/env python3
"""Read-only, stage-aware preflight for Experiment 9-10."""
from __future__ import annotations
import argparse
import importlib.util
import json
import platform
import shutil
import subprocess
from datetime import datetime, timezone
from pathlib import Path
COMMIT = "87d6c1d969f6e0ca4dc5697940... | 96 | 5,331 |
ai-agent-book | chapter6/rgb-sim2real-grasping/validate_evidence.py | .py | #!/usr/bin/env python3
"""Validate local GPU RGB domain-transfer evidence for Experiment 9-10."""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from pathlib import Path
from typing import Any
def file_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.o... | 82 | 3,722 |
ai-agent-book | chapter6/rgb-sim2real-grasping/test_validator.py | .py | import json
import unittest
from pathlib import Path
from validate_evidence import validate
class EvidenceGateTests(unittest.TestCase):
def test_local_gpu_evidence_is_accepted(self):
run = Path(__file__).parent / "validation" / "runs" / "local-gpu" / "evidence.json"
if not run.is_file():
... | 23 | 1,259 |
ai-agent-book | book-hu/gen_ch2_figs.py | .py | #!/usr/bin/env python3
"""Generate Hungarian Chapter 2 SVGs from the Chinese golden layouts.
The Chinese edition owns the diagram geometry and figure numbering. Hungarian
prose is explicit here instead of being assembled by the generic word-level
figure localizer. Figure 2-7 is redrawn as vector artwork because the ... | 536 | 22,622 |
ai-agent-book | book-hu/make_epub.py | .py | #! /usr/bin/env python3
"""Generate EPUB from the Hungarian introduction.md - simpler approach"""
import os
import re
from ebooklib import epub, ITEM_IMAGE
import markdown
book_dir = os.path.dirname(os.path.abspath(__file__))
# Read the markdown
md_path = os.path.join(book_dir, "introduction.md")
with open(md_path, ... | 97 | 3,463 |
ai-agent-book | book-hu/fix_bold_to_quotes.py | .py | #! /usr/bin/env python3
"""
Replace short **bold** formatting (used for terminology/keywords) with "quotes"
in Hungarian translated chapters. Longer bold text (statements, formulas) stays bold.
Rules:
- **text** where text is 1-6 words and <= 60 chars → "text"
- Longer **text** stays as **text** (formulas, emphasized ... | 91 | 2,804 |
ai-agent-book | book-hu/make_full_epub.py | .py | #!/usr/bin/env python3
"""Build and validate the complete Hungarian EPUB 3 edition."""
from pathlib import Path
import shutil
import subprocess
import sys
BOOK_DIR = Path(__file__).resolve().parent
ROOT = BOOK_DIR.parent
OUTPUT = BOOK_DIR / "AI-Agent-Book_HU.epub"
CHAPTERS = [
"introduction.md",
*(f"chapter{... | 80 | 2,170 |
ai-agent-book | book-hu/convert_svg_to_png.py | .py | #! /usr/bin/env python3
"""Convert all SVG images to PNG for better e-book reader compatibility"""
import os
import re
book_dir = os.path.dirname(os.path.abspath(__file__))
img_dir = os.path.join(book_dir, "images")
# Convert SVG files to PNG
import cairosvg
converted = 0
for fname in sorted(os.listdir(img_dir)):
... | 61 | 1,861 |
ai-agent-book | book-hu/upload_epub.py | .py | #! /usr/bin/env python3
"""Upload EPUB to GitHub fork"""
import json, base64, sys, requests
sys.stdout.reconfigure(line_buffering=True)
TOKEN = "ghp_jy…4OXJ"
OWNER = "barmivalami0-ux"
REPO = "ai-agent-book"
FILE = "/home/leno/.openclaw/workspace/book-hu/AI-Agent-Book_HU.epub"
HEADERS = {"Authorization": f"token {TOKEN... | 85 | 2,861 |
ai-agent-book | chapter10/voice-werewolf/test_user_simulator.py | .py | import json
import sys
from types import SimpleNamespace
from unittest.mock import patch
import pytest
import demo
from werewolf import agent as agent_module
from werewolf.game import Judge, create_players
from werewolf.roles import Role
from werewolf.agent import PlayerAgent
from werewolf.simulator import SimulatedU... | 222 | 9,108 |
ai-agent-book | chapter10/voice-werewolf/test_exp108_validation_evidence.py | .py | import hashlib
import json
from pathlib import Path
ROOT = Path(__file__).parent / "validation"
def test_persisted_acceptance_status_does_not_claim_unrun_human_audio():
status = json.loads((ROOT / "acceptance_status_2026-07-29.json").read_text())
assert status["safety"]["phone_calls_placed"] == 0
assert... | 125 | 6,163 |
ai-agent-book | chapter10/voice-werewolf/validate_simulator_run.py | .py | #!/usr/bin/env python3
"""Independently recompute the simulated-user audio/action boundary from a report."""
from __future__ import annotations
import argparse
import hashlib
import json
import re
from pathlib import Path
from werewolf.human import HumanPlayerAgent
def validate(report_path: Path) -> dict:
raw ... | 168 | 7,871 |
ai-agent-book | chapter10/voice-werewolf/test_witch_killed_no_poison.py | .py | import pytest
from werewolf.game import Judge
from werewolf.agent import PlayerAgent
from werewolf.roles import Role, Faction
def test_witch_killed_by_wolves_cannot_use_poison_in_same_night():
"""Contract proved: Judge._witch_act prevents a Witch who was killed by wolves at night and not saved from using poison i... | 30 | 1,184 |
ai-agent-book | chapter10/voice-werewolf/test_live_human.py | .py | import json
import sys
from types import SimpleNamespace
from unittest.mock import patch
import numpy as np
import pytest
import demo
from werewolf.agent import PlayerAgent
from werewolf.game import Judge, create_players
from werewolf.human import HumanPlayerAgent, LiveVoiceSession
from werewolf.roles import Faction,... | 288 | 11,031 |
ai-agent-book | chapter10/voice-werewolf/evaluate_audio_run.py | .py | #!/usr/bin/env python3
"""Direct-audio independent evaluation of simulator utterances through OpenRouter."""
from __future__ import annotations
import argparse
import base64
import hashlib
import json
import os
import re
import time
from pathlib import Path
from typing import Any
from openai import OpenAI
WORDS = ... | 196 | 7,929 |
ai-agent-book | chapter10/voice-werewolf/demo.py | .py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""实验 10-6：1 名真人通过实时 ASR/TTS 与 5-7 个 AI Agent 玩狼人杀。
配套《深入理解 AI Agent》第 10 章「实验 10-6：语音狼人杀 Agent 系统」。
本 demo 演示三件事（对应书中架构设计）：
1. **多 Agent**：每个玩家 = 一个独立 LLM Agent（OpenAI，默认 gpt-5.6-luna）。
2. **信息权限控制**：法官按角色把信息投递进各 Agent 的私有上下文——狼人才知道
队友、预言家才知道查验结果、公开发言进所有人。游戏后打印审计表 + ... | 497 | 25,761 |
ai-agent-book | chapter10/voice-werewolf/test_simultaneous_deaths_consensus.py | .py | import pytest
from werewolf.game import Judge
from werewolf.agent import PlayerAgent
from werewolf.roles import Role, Faction
def test_simultaneous_deaths_returns_undecided_faction():
"""Contract proved: Judge._check_winner returns Faction.UNDECIDED when all wolves and good players die simultaneously.
Bug lock... | 21 | 869 |
ai-agent-book | chapter10/voice-werewolf/werewolf/human.py | .py | # -*- coding: utf-8 -*-
"""Real human player and low-latency microphone/ASR/TTS voice session."""
from __future__ import annotations
import json
import os
import re
import subprocess
import tempfile
import time
import wave
from pathlib import Path
from typing import List, Optional
from .agent import PlayerAgent
from... | 229 | 10,017 |
ai-agent-book | chapter10/voice-werewolf/werewolf/audit.py | .py | # -*- coding: utf-8 -*-
"""信息可见性审计（Information Visibility Audit）。
这是本实验「信息权限控制可验证」的核心工具：法官每向某个（或某些）玩家的
上下文投递一条信息时，都会在这里登记一条记录——这条信息属于哪个类别、内容
摘要是什么、**进入了谁的上下文**。游戏结束后打印这张审计表，即可客观证明
信息隔离是否正确（例如「狼人队友身份」只进狼人上下文、「预言家查验结果」只进
预言家本人上下文、「公开发言」进所有人上下文）。
"""
from dataclasses import dataclass, field
from typing import List
@da... | 44 | 2,014 |
ai-agent-book | chapter10/voice-werewolf/werewolf/simulator.py | .py | # -*- coding: utf-8 -*-
"""LLM-driven user simulator with a real speech round trip.
The simulator is deliberately not an ordinary all-AI player. It occupies the same
protected user seat as ``HumanPlayerAgent`` and receives only that seat's memory. For
each turn a real LLM must call the one legal user tool. The sele... | 459 | 19,993 |
ai-agent-book | chapter10/voice-werewolf/werewolf/game.py | .py | # -*- coding: utf-8 -*-
"""法官（主持人）Agent：代码驱动的游戏编排与信息权限控制中枢。
法官不是 LLM——它是**确定性的编排器**，负责：
1. 维护中心化游戏状态（身份、阵营、生死、阶段、历史）。
2. **信息权限控制**：决定每条信息投递给哪些玩家 Agent 的私有上下文
（狼人才知道队友、预言家才知道查验结果、公开发言进所有人），并登记审计。
3. 编排昼夜循环：夜晚（狼人刀人 → 预言家查验 → 女巫用药）→ 白天（公布死讯 →
依次发言 → 投票放逐）→ 结算胜负。
"""
import random
from collections import Counter
f... | 472 | 22,941 |
ai-agent-book | chapter10/voice-werewolf/werewolf/__init__.py | .py | # -*- coding: utf-8 -*-
"""实验 10-6：语音狼人杀 Agent 系统（多 Agent + 信息权限控制 + 法官编排）。"""
| 3 | 127 |
ai-agent-book | chapter10/voice-werewolf/werewolf/roles.py | .py | # -*- coding: utf-8 -*-
"""角色定义、阵营、以及每个角色的策略提示词。
狼人杀的核心是**信息不对称**：不同角色天生知道不同的信息，且拥有不同的
夜间行动能力。这里集中定义角色的元数据与提示词，供 agent.py 构造每个玩家
Agent 的 system prompt。
"""
from enum import Enum
class Role(str, Enum):
"""游戏中的四种角色。"""
WEREWOLF = "狼人"
SEER = "预言家"
WITCH = "女巫"
VILLAGER = "村民"
class Faction(str, ... | 71 | 3,427 |
ai-agent-book | chapter10/voice-werewolf/werewolf/strategy_audit.py | .py | """Post-game, evidence-based acceptance audit for role strategy."""
from __future__ import annotations
import json
import os
REQUIRED_CRITERIA = (
"werewolf_concealment",
"seer_timing_and_evidence",
"villager_logical_reasoning",
"role_consistency",
)
VALID_STATUSES = {"pass", "fail", "insufficient"}... | 165 | 7,331 |
ai-agent-book | chapter10/voice-werewolf/werewolf/agent.py | .py | # -*- coding: utf-8 -*-
"""玩家 Agent：每个玩家 = 一个独立的 LLM Agent，拥有**严格隔离的私有上下文**。
信息隔离的实现要点：
- 每个 PlayerAgent 只维护自己的 `memory`（一串它「观察到 / 被告知」的事件）。
- 法官（judge.py）决定把哪条信息推给哪个 Agent 的 memory——狼人才会收到「队友
身份」，预言家才会收到「查验结果」，公开发言才会推给所有人。
- Agent 每次思考（发言 / 投票 / 用技能）时，只能看到自己 memory 里的内容，
因此不可能「偷看」到本不该看到的信息。这就是信息权限控制的落点。
离线（--off... | 332 | 17,461 |
ai-agent-book | chapter10/voice-werewolf/werewolf/tts.py | .py | # -*- coding: utf-8 -*-
"""可选的语音合成（TTS）——把玩家公开发言合成为语音。
语音是本实验的**可选增强**，不是跑通的必需：默认文本模式即可完整跑完一局并
验证信息隔离。加 --voice 时才启用，用 OpenAI tts-1 把每条公开发言合成 mp3，
存到 audio/ 目录；在 macOS 上可用 afplay 顺带播放（--play）。
"""
import os
import subprocess
from .agent import get_client
# 给不同玩家分配不同音色，便于区分
_VOICES = ["alloy", "echo", "fable", "ony... | 40 | 1,540 |
ai-agent-book | chapter10/autonomous-phone-registration/voice.py | .py | """Live microphone/ASR/TTS channel and a deterministic test channel."""
from __future__ import annotations
import asyncio
import os
import subprocess
import tempfile
import time
import wave
from pathlib import Path
from typing import Dict, List, Protocol
class PhoneChannel(Protocol):
async def say(self, text: s... | 145 | 5,564 |
ai-agent-book | chapter10/autonomous-phone-registration/twilio_channel.py | .py | """Real PSTN transport for the Experiment 10-3 Phone Agent.
Twilio places one outbound call. Its speech ``Gather`` provides ASR and ``Say``
provides TTS; the call stays open while the Phone and Computer Agents work.
"""
from __future__ import annotations
import asyncio
import os
from typing import List
class Twili... | 147 | 5,981 |
ai-agent-book | chapter10/autonomous-phone-registration/models.py | .py | """Shared contracts for Experiment 10-3.
The contracts are deliberately serialisable: every Computer/Phone Agent exchange is
also written to the timing trace, so a run can prove what was decided and when.
"""
from __future__ import annotations
import re
from dataclasses import asdict, dataclass, field
from datetime ... | 97 | 3,330 |
ai-agent-book | chapter10/autonomous-phone-registration/test_orchestration.py | .py | import asyncio
from unittest.mock import AsyncMock, patch
import pytest
import demo
from browser import RecoverableFillError
from bus import MessageBus
from models import DecisionRecord, FieldSpec
from orchestration import (
ComputerAgent,
initiate_phone_call_agent,
run_parallel,
timing_evidence,
)
fr... | 336 | 11,443 |
ai-agent-book | chapter10/autonomous-phone-registration/validate_acceptance.py | .py | #!/usr/bin/env python3
"""Fail-closed validator for retained historical 10-5 evidence of current Experiment 10-3."""
from __future__ import annotations
import argparse
import hashlib
import json
import re
from pathlib import Path
from typing import Any
TOOL_NAME = "initiate_phone_call_agent"
ARK_PROVIDER = "Volcengi... | 349 | 13,513 |
ai-agent-book | chapter10/autonomous-phone-registration/orchestration.py | .py | """Phone and Computer Agents plus the autonomous tool dispatcher."""
from __future__ import annotations
import asyncio
import json
import os
from dataclasses import dataclass
from typing import Dict, List, Optional
from browser import RecoverableFillError, RegistrationBrowser
from bus import MessageBus
from models i... | 462 | 19,446 |
ai-agent-book | chapter10/autonomous-phone-registration/demo.py | .py | #!/usr/bin/env python3
"""Experiment 10-3: autonomously spawn Phone Agent during real browser use."""
from __future__ import annotations
import argparse
import asyncio
import json
import time
from pathlib import Path
try:
from dotenv import load_dotenv
except ImportError:
load_dotenv = None
else:
load_do... | 399 | 16,309 |
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