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 | chapter2/prompt-engineering/tau_bench/model_utils/api/tokens.py | .py | import json
from pydantic import BaseModel
from tau_bench.model_utils.api.datapoint import (
BinaryClassifyDatapoint,
ClassifyDatapoint,
Datapoint,
GenerateDatapoint,
ParseDatapoint,
ParseForceDatapoint,
ScoreDatapoint,
)
class TokenUsage(BaseModel):
input_tokens: int
output_toke... | 80 | 3,047 |
ai-agent-book | chapter2/prompt-engineering/tau_bench/agents/chat_react_agent.py | .py | # Copyright Sierra
import json
from litellm import completion
from tau_bench.agents.base import Agent
from tau_bench.envs.base import Env
from tau_bench.types import (
Action,
SolveResult,
RESPOND_ACTION_NAME,
RESPOND_ACTION_FIELD_NAME,
)
from typing import Optional, List, Dict, Any, Tuple
class Cha... | 199 | 6,731 |
ai-agent-book | chapter2/prompt-engineering/tau_bench/agents/tool_calling_agent.py | .py | # Copyright Sierra
import json
from litellm import completion
from typing import List, Optional, Dict, Any
from tau_bench.agents.base import Agent
from tau_bench.envs.base import Env
from tau_bench.types import SolveResult, Action, RESPOND_ACTION_NAME
class ToolCallingAgent(Agent):
def __init__(
self,
... | 94 | 3,252 |
ai-agent-book | chapter2/prompt-engineering/tau_bench/agents/few_shot_agent.py | .py | # Copyright Sierra
import json
import random
from litellm import completion
from typing import List, Optional, Dict, Any
from tau_bench.agents.base import Agent
from tau_bench.envs.base import Env
from tau_bench.types import SolveResult, Action, RESPOND_ACTION_NAME
class FewShotToolCallingAgent(Agent):
def __in... | 104 | 3,950 |
ai-agent-book | chapter2/prompt-engineering/tau_bench/agents/base.py | .py | # Copyright Sierra
import abc
from typing import Optional
from tau_bench.envs.base import Env
from tau_bench.types import SolveResult
class Agent(abc.ABC):
@abc.abstractmethod
def solve(
self, env: Env, task_index: Optional[int] = None, max_num_steps: int = 30
) -> SolveResult:
raise NotI... | 15 | 336 |
ai-agent-book | chapter2/system-hint/quickstart.py | .py | """
Quick Start for System-Hint Enhanced Agent
Simple demonstration using the sample task
"""
import os
import sys
from pathlib import Path
from agent import SystemHintAgent, SystemHintConfig
from agentbook.providers import PROVIDERS
def main():
"""Quick start demonstration"""
# Check for API key. ๆฅๅๅชไบ็ฏๅขๅ้... | 153 | 5,199 |
ai-agent-book | chapter2/system-hint/view_trajectory.py | .py | #!/usr/bin/env python
"""
Utility to view saved trajectory files
Usage: python view_trajectory.py [trajectory_file]
"""
import json
import sys
from pathlib import Path
from datetime import datetime
def format_time(iso_string):
"""Convert ISO timestamp to readable format"""
try:
dt = datetime.fromisofo... | 95 | 3,486 |
ai-agent-book | chapter2/system-hint/main.py | .py | """
Main entry point for System-Hint Enhanced Agent
Supports command-line tasks and interactive mode
"""
import os
import sys
import json
import logging
import argparse
from datetime import datetime
from pathlib import Path
from agent import SystemHintAgent, SystemHintConfig, TodoStatus
# Configure logging
logging.ba... | 634 | 23,486 |
ai-agent-book | chapter2/system-hint/test_basic.py | .py | """
Basic test to verify System-Hint Agent functionality
"""
import os
import sys
import pytest
from agent import SystemHintAgent, SystemHintConfig, TodoStatus
def test_basic_functionality():
"""Test basic agent functionality without API calls"""
print("Testing System-Hint Agent components...")
# T... | 196 | 6,801 |
ai-agent-book | chapter2/system-hint/run_experiment_2_8.py | .py | #!/usr/bin/env python3
"""Run the frozen, real Kimi K3 campaign for Chapter 2 Experiment 2-9."""
from __future__ import annotations
import argparse
import copy
import hashlib
import json
import os
import re
import shutil
import sys
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from datet... | 930 | 41,977 |
ai-agent-book | chapter2/system-hint/test_malformed_tool_json.py | .py | """Regression: malformed tool-argument JSON must not abort the ReAct loop."""
from types import SimpleNamespace
from unittest.mock import MagicMock
from agent import SystemHintAgent, SystemHintConfig
def test_execute_task_survives_malformed_tool_arguments_json():
config = SystemHintConfig(
enable_timesta... | 74 | 2,378 |
ai-agent-book | chapter2/system-hint/config.py | .py | """
Configuration module for System-Hint Enhanced Agent
"""
import os
from typing import Optional
from dataclasses import dataclass
from dotenv import load_dotenv
from agentbook.providers import PROVIDERS, canonical_provider
load_dotenv()
@dataclass
class AgentConfig:
"""Configuration for the System-Hint Agent... | 131 | 4,377 |
ai-agent-book | chapter2/system-hint/test_experiment_2_8.py | .py | import json
from pathlib import Path
import run_experiment_2_8 as campaign
def test_condition_order_alternates_and_timestamp_has_three_arms():
assert campaign.condition_order("timestamps", 0) == [
"timestamps_guided", "timestamps_raw", "disabled"
]
assert campaign.condition_order("timestamps", 1)... | 74 | 3,201 |
ai-agent-book | chapter2/system-hint/agent.py | .py | """
System-Hint Enhanced AI Agent
An agent that demonstrates advanced trajectory management with system hints,
including timestamps, tool call tracking, TODO lists, and detailed error messages.
"""
import codecs
import json
import os
import sys
import subprocess
import platform
import logging
from typing import List, ... | 1,062 | 47,016 |
ai-agent-book | chapter2/system-hint/test_hint_behavior.py | .py | #!/usr/bin/env python
"""
Test script to demonstrate that system hints are added as user messages
temporarily before sending to LLM, but not stored in conversation history.
"""
import os
import json
from agent import SystemHintAgent, SystemHintConfig
def test_hint_behavior():
"""Test and demonstrate the system hi... | 100 | 3,074 |
ai-agent-book | chapter2/kv-cache/main.py | .py | """
Main script to demonstrate KV cache importance
Runs the ReAct agent with different implementations and compares performance
"""
import os
import sys
import glob
import json
import argparse
import logging
from typing import Dict, List, Any
from datetime import datetime
from dataclasses import asdict
try:
from ... | 549 | 23,981 |
ai-agent-book | chapter2/kv-cache/agent.py | .py | """
KV Cache Demonstration Agent with ReAct Pattern
Demonstrates the importance of KV cache through correct and incorrect implementations.
Uses local file system tools to read and search through code files.
"""
import json
import os
import re
import time
import logging
import random
from typing import List, Dict, Any,... | 889 | 38,122 |
ai-agent-book | chapter2/kv-cache/tests/test_message_flow.py | .py | #!/usr/bin/env python3
"""
Test script to verify message flow in correct vs incorrect modes
"""
def test_message_flow_logic():
"""Simulate how messages are handled in different modes"""
print("๐ Testing Message Flow Logic")
print("="*60)
# Simulate CORRECT mode
print("\nโ
CORRECT Mode:")... | 87 | 3,054 |
ai-agent-book | chapter2/kv-cache/tests/test_error_handling.py | .py | #!/usr/bin/env python3
"""Offline regressions for local tool error handling."""
from agent import LocalFileTools
def test_error_handling():
"""Test that local tools return structured errors instead of raising."""
print("๐งช Testing Error Handling in Tool Execution")
print("="*60)
# Test local tools d... | 47 | 1,884 |
ai-agent-book | chapter2/kv-cache/tests/test_negative_size.py | .py | """Regression: negative size must read to EOF, not drop a suffix."""
import sys
import types
from pathlib import Path
def _stub():
try:
import openai # noqa: F401
except ImportError:
sys.modules.setdefault("openai", types.ModuleType("openai"))
sys.modules["openai"].OpenAI = object
_... | 27 | 699 |
ai-agent-book | chapter2/kv-cache/tests/test_interactive.py | .py | #!/usr/bin/env python3
"""
Test script for interactive mode selection
"""
from main import select_mode_interactive
def test_mode_selection(monkeypatch):
"""Test the interactive mode selection without running the agent"""
print("๐งช Testing Interactive Mode Selection")
print("(This is a test - no agent... | 31 | 943 |
ai-agent-book | chapter2/kv-cache/tests/test_file_range.py | .py | #!/usr/bin/env python3
"""
Test script for the read_file tool with offset and size parameters
"""
from agent import LocalFileTools
def test_file_range_reading():
"""Test reading files with offset and size parameters"""
print("๐งช Testing File Range Reading")
print("="*60)
# Initialize tools
... | 105 | 4,265 |
ai-agent-book | chapter2/kv-cache/tests/test_tools.py | .py | #!/usr/bin/env python3
"""
Test script for local file system tools
Validates that read_file, find, and grep work correctly
"""
import os
import json
from agent import LocalFileTools
def test_file_tools():
"""Test the local file system tools"""
print("๐งช Testing Local File System Tools")
print("="*60... | 143 | 4,992 |
ai-agent-book | chapter2/kv-cache/tests/conftest.py | .py | """Pytest bootstrap for the kv-cache experiment tests."""
from pathlib import Path
import sys
import types
EXPERIMENT_ROOT = Path(__file__).resolve().parents[1]
if str(EXPERIMENT_ROOT) not in sys.path:
sys.path.insert(0, str(EXPERIMENT_ROOT))
try:
import openai # noqa: F401
except ImportError:
openai_s... | 18 | 435 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_agent_error_recovery.py | .py | #!/usr/bin/env python3
"""Manual live check for agent recovery after tool errors."""
import os
import sys
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
def check_agent_error_recovery():
"""Run the live agent against an intentionally failing tool path.""... | 61 | 1,777 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_cache_invalidation.py | .py | #!/usr/bin/env python3
"""
Test script to verify KV cache is properly invalidated in incorrect modes
"""
import os
import sys
import logging
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
# Set up logging to see details
logging.basicConfig(level=logging.INFO)
... | 127 | 5,077 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_ttft.py | .py | #!/usr/bin/env python3
"""
Test script to demonstrate TTFT tracking across iterations
Shows how cache usage improves response times
"""
import os
import sys
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
def test_ttft_tracking():
"""Test and display TTFT t... | 138 | 5,205 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_tool_calling.py | .py | #!/usr/bin/env python3
"""
Test script to verify the updated agent works with standard OpenAI tool calling
"""
import os
import sys
import json
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
def test_tool_calling():
"""Test that the agent correctly uses Op... | 74 | 2,203 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_completion.py | .py | #!/usr/bin/env python3
"""
Test script to verify the agent correctly identifies final answers
when no tool calls are made
"""
import os
import sys
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
def test_completion_logic():
"""Test that the agent correctly ... | 100 | 3,476 |
ai-agent-book | chapter2/kv-cache/tests/manual/demo_quick.py | .py | #!/usr/bin/env python3
"""
Quick demonstration of KV cache impact
Shows the difference between correct and incorrect implementations
"""
import os
import sys
try:
from dotenv import load_dotenv
load_dotenv()
except ImportError:
pass
from _bootstrap import add_project_root
add_project_root()
from agent ... | 109 | 4,002 |
ai-agent-book | chapter2/kv-cache/tests/manual/check_cached_tokens.py | .py | #!/usr/bin/env python3
"""
Test script to verify cached tokens are being parsed correctly from Kimi API
"""
import os
import sys
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
def test_cached_tokens():
"""Test that cached tokens are correctly parsed from A... | 78 | 2,672 |
ai-agent-book | chapter2/kv-cache/tests/manual/_bootstrap.py | .py | """Helpers for running kv-cache manual smoke scripts from tests/manual."""
from pathlib import Path
import sys
def add_project_root() -> Path:
project_root = Path(__file__).resolve().parents[2]
if str(project_root) not in sys.path:
sys.path.insert(0, str(project_root))
return project_root
| 12 | 313 |
ai-agent-book | chapter2/prompt-injection/test_campaign.py | .py | import json
from pathlib import Path
from agent import ATTACKER_EMAIL, DEFENSES, Agent
from run_campaign import accepted_receipt, request_messages_contain, workspace_inventory
class UnusedClient:
pass
def make_agent(tmp_path: Path, defense_index: int = 0) -> Agent:
return Agent(
client=UnusedClient... | 67 | 2,592 |
ai-agent-book | chapter2/prompt-injection/attacks.py | .py | """
ๅฎ้ช 2-5๏ผไธ็งๆปๅปๅบๆฏไธ"ๆณจๅ
ฅๆฏๅฆๅพ้"็ๅคๅฎ้ป่พใ
ๆฏไธชๆปๅปๅบๆฏๆ่ฟฐ๏ผ
- ็จๆทๆถๆฏๅบๅ๏ผuser_messages๏ผ
- ๆปๅป่
ๅฏๆง็ๅค้จ็ฝ้กตๅ
ๅฎน๏ผwebpage_content๏ผ็จไบ้ดๆฅ/่ฎฐๅฟๆณจๅ
ฅ๏ผ
- ไธไธช่งๅๅคๅฎๅจ judge(result) -> bool๏ผๅคๆญๆณจๅ
ฅๆฏๅฆๆๅ
ๅคๅฎ้็จ็กฎๅฎๆง่งๅ๏ผๆฏๅฆๆณ้ฒไบๅฏ้ฅ / ๆฏๅฆๆง่กไบ่ถๆๅทฅๅ
ท่ฐ็จ๏ผ๏ผ
็จณๅฎใ้ถ้ขๅคๆๆฌ๏ผไพฟไบ็ป่ฎกๆๅ็ใ
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Callable
from agent i... | 130 | 5,742 |
ai-agent-book | chapter2/prompt-injection/robustness_evaluator.py | .py | """
ๅฎ้ช 2-6๏ผๆ็คบๆณจๅ
ฅ้ฒๆฃๆง่ชๅจ่ฏไผฐๅจใ
ๆฌๆจกๅๅจไธไพ่ตไปปไฝๅจ็บฟ API ็ๅๆไธ๏ผ้ๅไธไธช Agent ๅฏนๆ็คบๆณจๅ
ฅๆปๅป็
ๆตๆ่ฝๅใ่ฏไผฐๅจๆฅๆถไธไธช ``agent_response_fn(payload) -> response`` ็
ๅ่ฐ๏ผๆไฝฟ็จๅ
็ฝฎ็็กฎๅฎๆง mock๏ผ๏ผๅฏนๆฏๆกๆปๅปๅ้๏ผ
1. ๅฐๆปๅป่ฝฝ่ทๆไบค็ป Agent๏ผ่ทๅๅ
ถๅๅคๆๆฌ๏ผ
2. ็จ็กฎๅฎๆง่งๅๅคๅฎๅๅคๆฏๅฆๆณ้ฒๆๆไฟกๆฏใๆฏๅฆ้ตๅพชไบๆณจๅ
ฅๆไปคใๆฏๅฆ็ช็ ด
็ณป็ปๆ็คบ่ฏ่พน็๏ผ
3. ๅจไธไธช็ปดๅบฆไธๆๅโโๆไปค่ฆ็ๆตๆใไฟกๆฏๆณ้ฒๆตๆใ่พน็ๅฎๆดๆงโโๅนถๆฑๆป
ๅบๆปไฝ้ฒๆฃๆงๅๆฐใ
ๅคๅฎๅ
จ้จๅบไบๅญ็ฌฆไธฒ/ๆญฃๅ่งๅ๏ผ้ถ้ขๅคๆๆฌใๅฏๅค็ฐ๏ผไพฟไบๅจ CI ไธญๅๅฝใ
"... | 304 | 13,124 |
ai-agent-book | chapter2/prompt-injection/demo.py | .py | """
ๅฎ้ช 2-5๏ผๆ็คบๆณจๅ
ฅๆป้ฒๅฎ้ช โโ ไธป็จๅบใ
ๅฏน 3 ็งๆปๅปๅบๆฏ x 4 ็ง้ฒๅพก้
็ฝฎ ็ๆฏไธช็ปๅ่ท N ๆฌก่ฏ้ช๏ผ็ป่ฎกๆปๅปๆๅ็๏ผ
ๆๅๆๅฐไธๅผ ๆปๅป x ้ฒๅพก ็ๆๅ็็ฉ้ต๏ผ็ด่งๅฑ็คบ"้ฒๅพก้ๅฑๅ ๅผบ -> ๆๅ็ไธ้"ใ
ๅฝไปค่ก็จๆณ๏ผ่ฏฆ่ง --help๏ผ๏ผ
python demo.py # ้ป่ฎค๏ผๅ
จ้จ 3x4 ็ปๅ๏ผๆฏ็ปๅ 4 ๆฌก่ฏ้ช
python demo.py --trials 5 # ๆฏไธช็ปๅ่ท 5 ๆฌก
python demo.py --model gpt-5.6-luna # ๆขๆจกๅ
python de... | 324 | 11,256 |
ai-agent-book | chapter2/prompt-injection/agent.py | .py | """
ๅฎ้ช 2-5๏ผๆ็คบๆณจๅ
ฅๆป้ฒๅฎ้ช โโ ๅฏ่ขซๆปๅป็ Agent ไธๅๅฑ้ฒๅพกใ
ๆฌๆไปถๅฎไนไธไธช"้
ๅค็ฝ้กต้
่ฏปๅๆไปถๆไฝๅทฅๅ
ท"็็ฎๅ Agent๏ผๅฏนๅบไนฆไธญๅฎ้ช่ฎพ่ฎก๏ผ๏ผ
ๅนถๆๅ็ง้ฒๅพก้
็ฝฎๅๆๅฏ็ปๅ็ๅผๅ
ณ๏ผไพ demo.py ็ป็ป ๆปๅป x ้ฒๅพก ็ๅฏน็
งๅฎ้ชใ
่ฎพ่ฎก่ฆ็น๏ผ
- Agent ๆ็ฎกไธไธช"ๆๆ่ตๆบ"๏ผ็ณป็ปๆ็คบ่ฏ้ๅๆไธๆฎตๅ
้จๅฏ้ฅ๏ผSECRET_KEY๏ผ๏ผ
่งๅๆ็กฎ่ฆๆฑ"ไธๅพๆณ้ฒ็ณป็ปๆ็คบ่ฏ/ๅฏ้ฅ"ใ
- Agent ๆฅๆไธคไธช"้ซ้ฃ้ฉๅทฅๅ
ท"๏ผwrite_file๏ผๅๆไปถ๏ผไธ send_email๏ผๅคๅ้ฎไปถ๏ผ๏ผ
่งๅ่ฆๆฑ"ๆช็ป็จๆทๆ็กฎ็กฎ่ฎคไธๅพๆง่กๅๅ
ฅ/ๅคๅๆไฝ"ใ
- ๆปๅปๆน้่ฟ ็ดๆฅๆณจๅ
ฅ / ้ดๆฅๆณจๅ
ฅ๏ผๆฑกๆ็ฝ้กตๅ
ๅฎน๏ผ... | 412 | 19,066 |
ai-agent-book | chapter2/prompt-injection/run_campaign.py | .py | """Canonical real-provider campaign for Experiment 2-5."""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import re
import shutil
from concurrent.futures import ThreadPoolExecutor, as_completed
from dataclasses import asdict
from datetime import datetime, timezone
from pathlib... | 385 | 15,776 |
ai-agent-book | chapter2/agent-skills-ppt/prepare_official_skill.py | .py | #!/usr/bin/env python3
"""Fetch and verify the pinned official Anthropic PPTX Skill (no reimplementation)."""
from __future__ import annotations
import argparse
import hashlib
import json
import subprocess
from pathlib import Path
ROOT = Path(__file__).resolve().parent
PROTOCOL = json.loads((ROOT / "experiment_prot... | 76 | 2,658 |
ai-agent-book | chapter2/agent-skills-ppt/run_official_experiment.py | .py | #!/usr/bin/env python3
"""Run Experiment 2-6 with a real skills-capable agent runtime and Anthropic's pinned PPTX Skill.
Two runtimes are supported under the author-mandated runtime-agnostic
acceptance policy (see experiment_protocol.json):
- ``--runtime claude`` (default): Claude Code, for readers with Anthropic
c... | 272 | 11,201 |
ai-agent-book | chapter2/agent-skills-ppt/test_official_validation.py | .py | from pathlib import Path
from prepare_official_skill import PROTOCOL
from validate_official_run import (
collect_kimi_metadata,
collect_tool_calls,
parse_stream,
sha256,
)
def test_protocol_pins_exact_manuscript_workflow():
assert PROTOCOL["runtime"]["official_skill_repository"] == "https://githu... | 68 | 2,707 |
ai-agent-book | chapter2/agent-skills-ppt/validate_official_run.py | .py | #!/usr/bin/env python3
"""Fail-closed validator for the real agent-runtime + official PPTX Skill run.
Supports both accepted runtimes: Claude Code (claude_stream.jsonl) and Kimi
Code CLI (kimi_stream.jsonl). The artifact gates are identical; only the
stream parsing and run-success gate are runtime-specific.
"""
from ... | 313 | 12,909 |
ai-agent-book | chapter2/agent-skills-ppt/demo.py | .py | #!/usr/bin/env python3
"""
ๅฎ้ช 2-6๏ผไฝฟ็จ Agent Skills ไป่ฎบๆ็ๆๆผ็คบๆ็จฟ๏ผ่ชๅปบๅๆ Skills ๆบๅถ๏ผ
ๆฌ demo ๅค็ฐใๆทฑๅ
ฅ็่งฃ AI Agentใ็ฌฌไบ็ซ ใAgent Skills / ๆธ่ฟๅผๆซ้ฒใไธ่็ๆๆณใ
็ฑไบ Anthropic key ๆ ๆ๏ผ่ฟ้็จ OpenAI๏ผgpt-5.6-luna๏ผ+ ไธๅฅ่ชๅปบ็ใไธ Anthropic
Skills ๅๆ็ๆบๅถๆฅๆผ็คบ๏ผๆ ธๅฟๆฏใๆธ่ฟๅผๆซ้ฒ๏ผProgressive Disclosure๏ผใ๏ผ
็ฌฌไธๅฑ๏ผๅ
ๆฐๆฎ๏ผ๏ผAgent ๅฏๅจๆถ็ system prompt ้ๅชๆพๅ Skill ็ name +
... | 431 | 18,425 |
ai-agent-book | chapter2/agent-skills-ppt/runs/exp2-6-kimi-pptx-20260731-v1/workspace/fix-bullets.py | .py | #!/usr/bin/env python3
"""Post-process deck: remove duplicate mid-paragraph <a:pPr> elements that
pptxgenjs emits when list items contain multiple inline-formatting runs.
The duplicate (later) pPr carries buNone, which makes LibreOffice drop the
bullet glyph. Keeping only the first pPr per <a:p> restores uniform bullet... | 18 | 733 |
ai-agent-book | chapter2/agent-skills-ppt/tests/test_dispatch.py | .py | #!/usr/bin/env python3
"""Regression tests for dispatch() in demo.py.
Bug: the agentic loop parses tool-call arguments with a JSONDecodeError
fallback to {} and then calls dispatch() with no try/except. dispatch()
used to do args["name"] / args["payload"] etc., so any malformed or
incomplete LLM tool call crashed the ... | 67 | 2,475 |
ai-agent-book | chapter2/agent-skills-ppt/tests/test_generate_pptx_null_bullets.py | .py | import tempfile
from pathlib import Path
from generate_pptx import build_presentation
def test_null_bullets_like_omit():
out = Path(tempfile.mkdtemp()) / "out.pptx"
result = build_presentation(
{
"title": "Demo",
"slides": [{"title": "Slide", "bullets": None}],
},
... | 32 | 742 |
ai-agent-book | chapter2/agent-skills-ppt/tests/conftest.py | .py | """Shared bootstrap for agent-skills-ppt regression tests."""
import sys
from pathlib import Path
from types import ModuleType
PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
SCRIPTS_DIR = PROJECT_ROOT / "skills" / "pptx" / "scripts"... | 29 | 731 |
ai-agent-book | chapter2/agent-skills-ppt/skills/pptx/scripts/generate_pptx.py | .py | """
pptx Skill ๆ็ป็ๅฏๆง่ก่ๆฌ๏ผไฝฟ็จ python-pptx ไป็ปๆๅๅคง็บฒ็ๆ็ๅฎ็ .pptx ๆไปถใ
่ฟๆฏ Agent Skillsใๆธ่ฟๅผๆซ้ฒใไธญ็ฌฌไธๅฑ๏ผ็ปๅ / ๆ็ปๅทฅๅ
ท๏ผ็ไธ้จๅ๏ผ
Agent ๅจ่ฏปๅ SKILL.md ๅ๏ผๅพ็ฅ้่ฆ้่ฟ run_skill_script ๅทฅๅ
ท่ฐ็จๆฌ่ๆฌ๏ผ
ๅนถๆ็บฆๅฎ็ JSON schema ไผ ๅ
ฅๅนป็ฏ็ๅคง็บฒใๆฌ่ๆฌ่ด่ดฃๆๅคง็บฒ่ฝๅฐไธบ PowerPointใ
payload JSON schema๏ผ็ฑ SKILL.md ๅ Agent ่ฏดๆ๏ผ๏ผ
{
"title": "ๆผ็คบๆ็จฟไธปๆ ้ข๏ผๅญ็ฌฆไธฒ๏ผ",
"subtitle": "ๅฏๆ ้ข๏ผ้ๅธธๆฏไฝ่
/ๆฅๆบ๏ผๅญ็ฌฆไธฒ๏ผ... | 152 | 4,849 |
ai-agent-book | chapter2/context-compression/quickstart.py | .py | #!/usr/bin/env python3
"""
Quick start script to test the context compression experiment
"""
import os
import sys
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
def check_environment():
"""Check if environment is properly configured"""
provider = os.getenv("LLM_PROVIDER", "kimi").l... | 134 | 4,030 |
ai-agent-book | chapter2/context-compression/main.py | .py | #!/usr/bin/env python3
"""
Interactive demo for context compression strategies
"""
import os
import sys
import argparse
from colorama import init, Fore, Style
from config import Config
from agent import ResearchAgent
from compression_strategies import CompressionStrategy
# Initialize colorama
init(autoreset=True)
... | 232 | 9,614 |
ai-agent-book | chapter2/context-compression/test_null_content_compression.py | .py | """
Test suite locking out TypeError in ContextCompressor._no_compression
when a search result dictionary contains 'content': None.
"""
import os
import sys
sys.path.insert(0, os.path.abspath(os.path.dirname(__file__)))
from compression_strategies import ContextCompressor
def test_no_compression_handles_null_conte... | 27 | 798 |
ai-agent-book | chapter2/context-compression/web_tools.py | .py | """
Web tools for searching and fetching web pages
"""
import json
import html
import re
import logging
import requests
from typing import List, Dict, Any, Optional
from bs4 import BeautifulSoup
import html2text
from urllib.parse import urlparse, urljoin
import time
from config import Config
# Configure logging
loggi... | 307 | 11,725 |
ai-agent-book | chapter2/context-compression/test_malformed_tool_json.py | .py | """
Malformed tool-argument JSON must not abort execute_research or cause real dispatch to raise TypeError.
"""
import sys
import types
from pathlib import Path
from unittest.mock import MagicMock, patch
# Optional deps used at import time by web_tools.
sys.modules.setdefault("html2text", types.ModuleType("html2text")... | 142 | 6,354 |
ai-agent-book | chapter2/context-compression/experiment.py | .py | #!/usr/bin/env python3
"""
Context Compression Strategies Comparison Experiment
"""
import os
import sys
import json
import time
import argparse
from typing import Dict, Any, List, Optional
from datetime import datetime
from dataclasses import asdict
from colorama import init, Fore, Style
from tqdm import tqdm
from c... | 383 | 15,864 |
ai-agent-book | chapter2/context-compression/compression_strategies.py | .py | """
Context Compression Strategies for the experiment
"""
import json
import logging
from typing import List, Dict, Any, Optional, Tuple
from enum import Enum
from dataclasses import dataclass, field
from datetime import datetime
from openai import OpenAI
import tiktoken
from config import Config
def _reasoning_safe... | 695 | 29,110 |
ai-agent-book | chapter2/context-compression/test_web_tools_null_content.py | .py | """
Test suite locking out TypeError in WebTools.search_web
when fetch_webpage returns a dictionary containing 'content': None.
"""
import os
import sys
from unittest.mock import MagicMock
sys.modules['html2text'] = MagicMock()
sys.path.insert(0, os.path.abspath(os.path.dirname(__file__)))
from web_tools import Web... | 60 | 1,852 |
ai-agent-book | chapter2/context-compression/config.py | .py | """
Configuration module for Context Compression Experiment
"""
import os
from typing import Optional
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
class Config:
"""Configuration settings for the context compression experiment"""
# API Configuration
LLM_PROVIDER: str = o... | 122 | 4,600 |
ai-agent-book | chapter2/context-compression/agent.py | .py | """
Context Compression Research Agent with Streaming Support
"""
import json
import logging
import time
import sys
from typing import List, Dict, Any, Optional, Generator, Tuple
from dataclasses import dataclass, field
from datetime import datetime
from openai import OpenAI
from config import Config
from web_tools im... | 676 | 29,489 |
ai-agent-book | chapter2/context-compression/benchmark_compression.py | .py | """
Context Compression Benchmark Module.
Systematically benchmarks Summary, Truncation, Key-Sentence, and Observation-Filtering
compression strategies on long-context tasks. Measures compression ratio, Time-to-First-Token (TTFT),
token cost savings, and downstream QA retention accuracy.
"""
import math
import re
imp... | 340 | 14,047 |
ai-agent-book | chapter2/context-compression/run_all_strategies.py | .py | #!/usr/bin/env python3
"""
Script to run all compression strategies sequentially and save results to log
"""
import os
import sys
import json
import time
import argparse
import logging
from datetime import datetime
from typing import Dict, Any, List, Optional
from agent import ResearchAgent
from compression_strategie... | 459 | 19,870 |
ai-agent-book | chapter2/attention_visualization/run_status_bar_experiment.py | .py | #!/usr/bin/env python3
"""Real Qwen3 attention comparison for Chapter 2 Experiment 2-8."""
from __future__ import annotations
import argparse
import hashlib
import json
import platform
import random
import re
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
import matplotlib.py... | 448 | 16,785 |
ai-agent-book | chapter2/attention_visualization/test_attention_experiment.py | .py | import numpy as np
from run_attention_experiment import matrix_metrics, region_indices, resolve_layer
def test_resolve_negative_layer():
assert resolve_layer(-1, 28) == 27
assert resolve_layer(13, 28) == 13
def test_region_indices_separates_thinking_and_answer():
tokens = ["prompt", "<think>", "work", ... | 21 | 678 |
ai-agent-book | chapter2/attention_visualization/test_status_bar_experiment.py | .py | from run_status_bar_experiment import (
base_messages,
classify,
status_message,
)
PROTOCOL = {
"scenario": {
"maximum_calls": 3,
"user_query": "Can you call Xfinity one more time to chase the refund?",
}
}
def test_base_trajectory_has_three_calls_and_four_distractors():
mess... | 35 | 1,113 |
ai-agent-book | chapter2/attention_visualization/main.py | .py | """
ReAct Tool-Calling Agent with Attention Visualization
Implements a proper ReAct (Reasoning + Acting) loop with step-by-step visualization
"""
import json
import re
import logging
from typing import List, Dict, Any, Optional
from dataclasses import dataclass
from pathlib import Path
from agent import AttentionVisu... | 726 | 30,410 |
ai-agent-book | chapter2/attention_visualization/visualization.py | .py | """
Attention Visualization Utilities
Creates visual representations of attention patterns
"""
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np
import seaborn as sns
from typing import List, Dict, Any, Optional, Tuple
import json
from pathlib import Path
def _configure_cjk_font... | 630 | 22,097 |
ai-agent-book | chapter2/attention_visualization/test_save_trajectory.py | .py | #!/usr/bin/env python3
"""Regression tests for save_trajectory() in agent.py.
Bug: save_trajectory() referenced bare names `temperature` and
`max_new_tokens` that are not in its scope -> NameError on every call
(generate_with_attention calls it with save_trajectory=True by default).
Fixed by adding them as parameters,... | 58 | 1,950 |
ai-agent-book | chapter2/attention_visualization/run_attention_experiment.py | .py | #!/usr/bin/env python3
"""Canonical real-model campaign for Chapter 2 Experiment 2-2."""
from __future__ import annotations
import argparse
import hashlib
import json
import platform
import shutil
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
import matplotlib.pyplot as plt
... | 240 | 10,318 |
ai-agent-book | chapter2/attention_visualization/attention_cli.py | .py | """
Attention Visualization CLI
===========================
Command-line tool that renders the self-attention heatmap of a real
language model for an arbitrary prompt, letting you pick which layer and
head to inspect. This is the standalone counterpart to the interactive
frontend: instead of saving a trajectory JSON f... | 296 | 11,016 |
ai-agent-book | chapter2/attention_visualization/config.py | .py | """
Configuration for Attention Visualization
"""
import os
from pathlib import Path
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Model Configuration
MODEL_NAME = os.getenv("MODEL_NAME", "Qwen/Qwen3-0.6B")
MODEL_PATH = os.getenv("MODEL_PATH", None) # Optional local model path
# Devic... | 65 | 2,341 |
ai-agent-book | chapter2/attention_visualization/tools.py | .py | """
Sample tools for demonstrating tool calling functionality with attention visualization
Based on local_llm_serving/tools.py
"""
import json
import math
import random
import io
import contextlib
from typing import Dict, Any, List
from datetime import datetime
import requests
class ToolRegistry:
"""Registry for ... | 449 | 17,277 |
ai-agent-book | chapter2/attention_visualization/agent.py | .py | """
Attention Visualization Agent
Integrates Qwen3 0.5B model with attention tracking and visualization
"""
import json
import logging
import torch
import numpy as np
import time
from pathlib import Path
from typing import List, Dict, Any, Optional, Tuple
from dataclasses import dataclass, asdict, field
from transform... | 590 | 22,567 |
ai-agent-book | book-tr/strip_titles.py | .py | #!/usr/bin/env python3
"""Strip in-figure titles from manually-created SVGs and crop top whitespace.
According to academic conventions: the figure itself does not contain a title (the title is written in the main text). This script only handles "hand-crafted SVGs"โ
for SVGs generated by tools, set OMIT_TITLE=True in s... | 112 | 3,717 |
ai-agent-book | book-tr/gen_ch2_figs.py | .py | """Regenerate this edition's Chapter 2 figures from the Chinese golden layouts.
The shared synchronizer owns the current Chapter 2 figure numbering, localized
labels, and authoritative context-compression measurements.
"""
import subprocess
import sys
from pathlib import Path
if __name__ == "__main__":
root = Pa... | 17 | 491 |
ai-agent-book | book-tr/gen_ch4_figs.py | .py | #!/usr/bin/env python3
"""Generate all SVG illustrations for Chapter 4 (Tools).
Figures (12 total):
fig4-1: MCP protocol sequence diagram (concrete message payloads)
fig4-2: Sub-Agent context preparation (4 strategies with examples)
fig4-3: Event-driven architecture (real event sources & payloads)
fig4-4: ... | 986 | 42,403 |
ai-agent-book | book-tr/gen_ch9_figs.py | .py | """[DEPRECATED] Old Chapter 9 (multi-Agent) figure generator.
โ ๏ธ DO NOT RUN: After the 2026-03-12 refactoring, chapter numbers changed (original Ch 9 โ Ch 10).
The figures generated by this file actually correspond to the current [Chapter 10] content (multi-Agent collaboration), but are still saved as fig9-*.svg.
Runn... | 1,053 | 51,097 |
ai-agent-book | book-tr/gen_ch1_figs.py | .py | """Generate all Chapter 1 figures."""
import sys, os
sys.path.insert(0, os.path.dirname(__file__))
from svg_lib import *
OUT = os.path.join(os.path.dirname(__file__), 'images')
def fig1_4():
"""Kimi K3 / GPT-5.6 native agent architecture โ caption Figure 1-4"""
s = SVG(820, 520)
# Title
s.text(410, ... | 538 | 22,198 |
ai-agent-book | book-tr/gen_cover.py | .py | #!/usr/bin/env python3
"""Generate the book cover image with an image-generation model.
This is, fittingly, the book eating its own dog food: the cover of a book about
AI agents is produced by calling an image-generation model. Run it once; the
cover (cover.tex) automatically switches to images/cover-image.png when pr... | 85 | 4,149 |
ai-agent-book | book-tr/fit_svg_text.py | .py | """Repair text overflow in generated/static book SVGs (in place).
Most figures under images/ are produced by the gen_chN_figs.py scripts (which
now self-correct via svg_lib.SVG.render), but several sets โ fig0-*, fig6-*,
fig7-*, the multimodal fig9-*, and fig10-* โ are static SVGs with no live
generator. This tool app... | 48 | 1,567 |
ai-agent-book | book-tr/svg_lib.py | .py | """SVG diagram generation library for book illustrations.
Style: black/white/grayscale for B&W printing.
- White (#fff) backgrounds
- Light gray (#f0f0f0) box fills
- Medium gray (#d0d0d0) secondary fills
- Dark gray (#999) emphasis fills
- Black (#333) borders and text
- 2px stroke, 6px rounded corners
- Sans-serif f... | 667 | 26,728 |
ai-agent-book | book-tr/gen_ch8_figs.py | .py | #!/usr/bin/env python3
"""Chapter 8 figures โ Agent's self-evolution.
NOTE: this generator was previously a stray copy of chapter 9's figures, which
left fig8-1..fig8-7 showing chapter-9 content. It has been rewritten so each
figure matches its caption in chapter8.md. Figures are built with svg_lib;
titles live in the... | 116 | 6,354 |
ai-agent-book | book-tr/gen_ch3_figs.py | .py | #!/usr/bin/env python3
"""Generate all SVG illustrations for Chapter 3 (Knowledge Base & RAG).
Figures (14 total):
fig3-1: Chapter roadmap
fig3-2: RAG end-to-end pipeline (concrete example)
fig3-3: Dense embedding evolution (with dimensions & training)
fig3-4: HNSW index structure (enlarged)
fig3-5: BM2... | 861 | 37,761 |
ai-agent-book | book-tr/gen_ch5_figs.py | .py | #!/usr/bin/env python3
"""Generate all SVG illustrations for Chapter 5 (Code Generation).
Figures (11 total):
fig5-1: OpenClaw architecture โ Coding Agent as core of general Agent
fig5-2: Coding Agent multi-phase workflow (concrete file ops & tool calls)
fig5-3: Search tool comparison (4 types with real query... | 1,095 | 48,130 |
ai-agent-book | book-ta/strip_titles.py | .py | #!/usr/bin/env python3
"""Strip in-figure titles from checked-in SVGs and crop top whitespace.
According to academic conventions, the figure itself does not contain a title
(the title is written in the main text). This script conservatively handles the
checked-in SVG files under `images/`.
Judgment rule (conservative... | 113 | 3,676 |
ai-agent-book | book-ta/gen_cover.py | .py | #!/usr/bin/env python3
"""Generate the book cover image with an image-generation model.
This is, fittingly, the book eating its own dog food: the cover of a book about
AI agents is produced by calling an image-generation model. Run it once; the
cover (cover.tex) automatically switches to images/cover-image.png when pr... | 85 | 4,162 |
ai-agent-book | chapter6/robotics_lab_common.py | .py | """Small, deterministic helpers shared by the chapter 9 robotics labs.
The labs deliberately avoid pretending that a Mac MPS run is a CUDA/ManiSkill
run. They expose the accelerator used in the evidence and fail closed when a
caller asks for an accelerator that is not available.
"""
from __future__ import annotation... | 75 | 2,332 |
ai-agent-book | chapter6/phone-agent/test_verify_acceptance.py | .py | import json
from pathlib import Path
from verify_acceptance import check_llm_receipt
def test_llm_receipt_tamper_is_rejected():
content = '{"ok":true}'
request = {"model": "model", "messages": [{"role": "user", "content": "safe"}]}
raw = {
"id": "response-1",
"model": "model",
"ch... | 53 | 1,879 |
ai-agent-book | chapter6/phone-agent/verify_acceptance.py | .py | #!/usr/bin/env python3
"""Standalone fail-closed verification for Experiment 9-2 retained evidence."""
from __future__ import annotations
import argparse
import hashlib
import json
import re
from pathlib import Path
from typing import Any
HERE = Path(__file__).resolve().parent
ROOT = HERE.parents[1]
REQUIRED_ARTIFAC... | 379 | 17,626 |
ai-agent-book | chapter6/phone-agent/test_webrtc_app.py | .py | from pathlib import Path
import webrtc_app
from fastapi.testclient import TestClient
def direct_payload():
return {
"mode": "direct",
"callee_name": "Jane",
"goal": "Confirm a time and code",
"context": "Tuesday afternoon",
"instructions": "Ask for a time and confirmation ... | 88 | 3,198 |
ai-agent-book | chapter6/phone-agent/webrtc_app.py | .py | """Browser-to-aiortc voice Agent for Experiment 9-2.
The browser microphone is the only user-semantic input. The server buffers its
decoded RTP audio, runs real Whisper ASR, sends that transcript to a real external
LLM, synthesizes the Agent reply, and places the resulting PCM on the WebRTC
downlink track. The data ... | 699 | 27,867 |
ai-agent-book | chapter6/phone-agent/demo.py | .py | #!/usr/bin/env python3
"""Launch the ReAct arm of the local Experiment 9-2 browser call."""
from __future__ import annotations
import argparse
import threading
import urllib.parse
import webbrowser
import uvicorn
DEFAULT_TASK = (
"Call me to arrange a dental checkup. I did not include the exact time or confirma... | 38 | 1,204 |
ai-agent-book | chapter6/phone-agent/test_agent.py | .py | import json
from types import SimpleNamespace
import pytest
from agent import conversation_turn, direct_plan, react_plan
class FakeUsage:
def model_dump(self, **_kwargs):
return {"prompt_tokens": 40, "completion_tokens": 20, "total_tokens": 60}
class FakeResponse:
def __init__(self, content):
... | 174 | 6,088 |
ai-agent-book | chapter6/phone-agent/test_speech.py | .py | import struct
from speech import pcm16_wav, read_pcm16_wav, sha256_bytes
def test_pcm_wav_round_trip_is_exact():
pcm = b"".join(struct.pack("<h", sample) for sample in (0, 100, -100, 32767, -32768))
wav = pcm16_wav(pcm, 16_000)
decoded, rate = read_pcm16_wav(wav)
assert decoded == pcm
assert rate... | 21 | 670 |
ai-agent-book | chapter6/phone-agent/run_acceptance.py | .py | #!/usr/bin/env python3
"""Run the safe, full-audio direct-vs-ReAct Experiment 9-2 campaign.
Each arm gives Chrome a non-private synthesized microphone WAV. Chrome sends that
fixture through getUserMedia and RTP to aiortc; the server buffers the received RTP
audio, runs real Whisper ASR, invokes a real external dialog... | 477 | 18,727 |
ai-agent-book | chapter6/phone-agent/speech.py | .py | """Real speech synthesis and microphone-audio ASR for Experiment 9-2."""
from __future__ import annotations
import hashlib
import json
import os
import shutil
import subprocess
import sys
import tempfile
import time
import wave
from dataclasses import dataclass
from pathlib import Path
from typing import Any
def sh... | 308 | 12,149 |
ai-agent-book | chapter6/phone-agent/agent.py | .py | """Fail-closed LLM planning and dialogue contracts for Experiment 9-2.
The direct arm receives a fixed call plan. The ReAct arm asks a real external
OpenAI-compatible provider to observe an incomplete task, identify missing facts,
and choose the browser-call action. Both arms use the same external model for the
post... | 371 | 14,337 |
ai-agent-book | chapter6/phone-agent/direct_call.py | .py | #!/usr/bin/env python3
"""Launch the fixed-parameter control arm of Experiment 9-2."""
from __future__ import annotations
import argparse
import threading
import urllib.parse
import webbrowser
import uvicorn
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--na... | 44 | 1,352 |
ai-agent-book | chapter6/phone-agent/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))
| 7 | 168 |
ai-agent-book | chapter6/claude-computer-use-native/validate_weather_run.py | .py | #!/usr/bin/env python3
"""Deterministically validate retained Experiment 9-6 evidence."""
from __future__ import annotations
import argparse
import hashlib
import json
import re
from pathlib import Path
EXPECTED_MODEL = "claude-sonnet-4-5-20250929"
EXPECTED_SOURCE = "9bcc95e316e5ef6542b4c9d0469f4078829eead5"
EXPECT... | 161 | 5,964 |
ai-agent-book | chapter6/claude-computer-use-native/run_weather_task.py | .py | #!/usr/bin/env python3
"""Run and retain the bounded Experiment 9-6 native Computer Use trajectory.
This harness calls the pinned Anthropic Computer Use Demo's ``sampling_loop``.
It is intended to run inside that Demo's locally built container with a host
evidence directory mounted at ``/evidence``.
"""
from __future... | 330 | 12,012 |
ai-agent-book | chapter6/agent-with-event-trigger/quickstart.py | .py | """
Quick Start Script for Event-Triggered Agent
Demonstrates the basic functionality in a simple way
"""
import os
import sys
import time
import subprocess
import signal
from event_types import EventType
# Check if API key is set (universal OpenRouter fallback applied by the server).
from agent import resolve_provid... | 130 | 4,160 |
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