Files
ai-agent-book/book-id/gen_ch5_figs.py
T
liqiang b119135836
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

1095 lines
46 KiB
Python

#!/usr/bin/env python3
"""Generate all SVG illustrations for Chapter 5 (Code Generation).
Figures (11 total):
fig5-1: OpenClaw architecture — 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 examples)
fig5-4: File editing approach comparison (5 methods with code diffs)
fig5-5: PPT generation pipeline (Proposer-Reviewer with Slidev code)
fig5-6: Exp 5.6+5.7 — Paper-to-PPT/Video pipeline
fig5-7: Exp 5.10 — Production log diagnosis pipeline
fig5-8: Dynamic form generation (LLM → HTML form → JSON → continue)
fig5-9: SQL query agent (artifact mode, data bypasses LLM)
fig5-10: Agent bootstrap cycle (self-replication concept)
fig5-11: Exp 5.14 — Agent that creates agents (meta-agent)
"""
import os
import sys
sys.path.insert(0, os.path.dirname(__file__))
from svg_lib import (
SVG, COLORS, FONT, MONO, STROKE_W, CORNER_R, _escape,
FS_TITLE, FS_BODY, FS_SMALL, FS_TINY, FS_LABEL,
)
OUT = os.path.join(os.path.dirname(__file__), 'images')
def _pill(svg, x, y, w, h, label, fill='light', font_size=FS_SMALL, bold=False):
svg.rect(x, y, w, h, fill=fill, rx=h // 2)
c = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(x + w / 2, y + h / 2, label, size=font_size, fill=c, bold=bold)
# ──────────────────────── fig5-1 (NEW: OpenClaw arch) ──────
def fig5_1():
"""OpenClaw architecture: Coding Agent as core of general Agent"""
w, h = 980, 600
svg = SVG(w, h)
svg.text(w / 2, 30, "OpenClaw architecture: Coding Agent as core of general Agent", size=FS_TITLE, bold=True)
# Top: multi-platform messaging gateway
gw_y, gw_h = 58, 66
svg.group_box(60, gw_y, w - 120, gw_h, "Multi-platform message gateway (user interaction layer)")
channels = ["WhatsApp", "Telegram", "iMessage", "Slack", "CLI"]
pill_w, pill_h = 130, 32
total_pw = len(channels) * pill_w + (len(channels) - 1) * 18
px_start = (w - total_pw) / 2
for i, ch in enumerate(channels):
px = px_start + i * (pill_w + 18)
svg.rect(px, gw_y + 26, pill_w, pill_h, fill='medium', rx=pill_h // 2)
svg.text(px + pill_w / 2, gw_y + 26 + pill_h / 2, ch, size=FS_SMALL)
svg.arrow(w / 2, gw_y + gw_h + 2, w / 2, 158)
svg.text(w / 2 + 12, 134, "Natural language request", size=FS_LABEL, fill='text_light', anchor='start')
# Center: Coding Agent runtime — widened to fit 4 tools comfortably
ca_x, ca_y, ca_w, ca_h = 200, 160, 580, 210
svg.rect(ca_x, ca_y, ca_w, ca_h, fill='light')
svg.rect(ca_x, ca_y, ca_w, 40, fill='darker', rx=6)
svg.text(ca_x + ca_w / 2, ca_y + 20,
"Coding Agent runtime (inference + execution core)", size=FS_BODY, bold=True, fill='white')
tools = [
("Code Interpreter", "Code execution"), ("Bash Shell", "System commands"),
("Read File", "Read file"), ("Write File", "Write file"),
("Edit File", "Edit file"), ("Glob", "File search"), ("Grep", "Content search"),
]
tw, th, tgap = 132, 60, 12
for ri, row in enumerate([tools[:4], tools[4:]]):
row_total_w = len(row) * tw + (len(row) - 1) * tgap
rx_start = ca_x + (ca_w - row_total_w) / 2
ry = ca_y + 56 + ri * (th + tgap)
for ci, (name, desc) in enumerate(row):
tx = rx_start + ci * (tw + tgap)
svg.rect(tx, ry, tw, th, fill='white')
svg.text(tx + tw / 2, ry + 22, name, size=FS_TINY, bold=True)
svg.text(tx + tw / 2, ry + 42, desc, size=FS_TINY, fill='text_light')
# Left: Deep Research
dr_x, dr_y, dr_w, dr_h = 22, 198, 158, 86
svg.rect(dr_x, dr_y, dr_w, dr_h, fill='medium')
svg.text(dr_x + dr_w / 2, dr_y + 22, "Web search module", size=FS_SMALL, bold=True)
svg.text(dr_x + dr_w / 2, dr_y + 44, "Deep Research", size=FS_TINY, fill='text_light')
svg.text(dr_x + dr_w / 2, dr_y + 66, "Web request · parsing", size=FS_TINY, fill='text_light')
svg.arrow(dr_x + dr_w + 2, dr_y + dr_h / 2, ca_x - 2, ca_y + ca_h / 2)
# Right: Computer Use
cu_x, cu_y, cu_w, cu_h = 800, 198, 158, 86
svg.rect(cu_x, cu_y, cu_w, cu_h, fill='medium')
svg.text(cu_x + cu_w / 2, cu_y + 22, "Browser automation", size=FS_SMALL, bold=True)
svg.text(cu_x + cu_w / 2, cu_y + 44, "Computer Use", size=FS_TINY, fill='text_light')
svg.text(cu_x + cu_w / 2, cu_y + 66, "Playwright DOM", size=FS_TINY, fill='text_light')
svg.arrow(ca_x + ca_w + 2, ca_y + ca_h / 2, cu_x - 2, cu_y + cu_h / 2)
# Bottom: file system layer
fs_y, fs_h = 410, 140
svg.arrow(w / 2, ca_y + ca_h + 2, w / 2, fs_y - 2)
svg.text(w / 2 + 12, 390, "Read / Write file", size=FS_LABEL, fill='text_light', anchor='start')
svg.group_box(60, fs_y, w - 120, fs_h, "File system (memory · knowledge · capability hub)")
mem_items = [
("MEMORY.md", "High-level facts / user preferences"),
("daily/YYYY-MM-DD.md", "Daily archive / interaction logs"),
("SOUL.md", "Agent identity and behavior rules"),
("Knowledge base files", "Task experience / self-evolution"),
("Git version control", "Memory rollback / history audit"),
]
item_w, item_h, item_gap = 162, 76, 16
total_iw = len(mem_items) * item_w + (len(mem_items) - 1) * item_gap
ix_start = (w - total_iw) / 2
for i, (title, desc) in enumerate(mem_items):
ix = ix_start + i * (item_w + item_gap)
iy = fs_y + 34
svg.rect(ix, iy, item_w, item_h, fill='white')
svg.text(ix + item_w / 2, iy + 26, title, size=FS_TINY, bold=True)
svg.text(ix + item_w / 2, iy + 52, desc, size=FS_TINY, fill='text_light')
# Very bottom: LLM as OS
os_y = fs_y + fs_h + 16
svg.rect(60, os_y, w - 120, 38, fill='darker', rx=6)
svg.text(w / 2, os_y + 19,
"LLM = new operating system: shield intelligence complexity, provide unified abstraction", size=FS_SMALL, bold=True, fill='white')
svg.save(os.path.join(OUT, 'fig5-1.svg'))
# ──────────────────────── fig5-2 (was fig5-1) ────────────────────────
def fig5_2():
"""Coding Agent multi-phase workflow (concrete tool calls)"""
w, h = 880, 580
svg = SVG(w, h)
svg.text(w / 2, 30, "Coding Agent layered workflow", size=FS_TITLE, bold=True)
phases = [
("① Project documentation", 'medium', [
("read_file", "README.md, ARCHITECTURE.md"),
("glob", "**/*.py, **/*.ts"),
("write_file", "→ Generate CLAUDE.md project guide"),
]),
("② Requirement understanding", 'light', [
("ask_user", "\"Is the optimization goal latency or throughput?\""),
("grep", "\"latency|throughput\" src/"),
("read_file", "src/config.py (current parameters)"),
]),
("③ Design Document", 'light', [
("write_file", "design.md (Scheme Comparison)"),
("ask_user", "Submit design → Wait for approval"),
("—", "After human review → Continue"),
]),
("④ Coding and Testing", 'medium', [
("edit_file", "old_str→new_str modify code"),
("bash", "pytest tests/ -v"),
("edit_file", "Fix failed tests → Rerun"),
]),
("⑤ Review and Delivery", 'light', [
("bash", "ruff check src/ (lint)"),
("read_file", "Self-review: readability/security/performance"),
("edit_file", "Update ARCHITECTURE.md"),
]),
]
phase_w = 155
phase_gap = 12
total_w = len(phases) * phase_w + (len(phases) - 1) * phase_gap
sx = (w - total_w) / 2
for i, (title, fill, steps) in enumerate(phases):
x = sx + i * (phase_w + phase_gap)
ph = 240
svg.rect(x, 55, phase_w, ph, fill=fill)
svg.text(x + phase_w / 2, 78, title, size=FS_SMALL, bold=True)
svg.line(x + 8, 92, x + phase_w - 8, 92, color='dark')
for j, (tool, desc) in enumerate(steps):
ty = 110 + j * 70
_pill(svg, x + 8, ty, phase_w - 16, 22, tool, fill='dark', font_size=11, bold=True)
svg.text_block(x + 10, ty + 26, phase_w - 20, desc.split('\n'),
size=10, min_size=7, anchor='start', mono=True, line_gap=1.45)
if i < len(phases) - 1:
ax = x + phase_w + 2
svg.arrow(ax, 55 + ph / 2, ax + phase_gap - 4, 55 + ph / 2)
# Bottom: feedback loops
svg.line(30, 320, w - 30, 320, color='dark', dash=True)
svg.text(w / 2, 340, "Closed-loop feedback mechanism", size=FS_BODY, bold=True)
loops = [
("Test failure → Modify code → Retest", "④ Inner loop: average 2-3 rounds to converge"),
("Lint error → Fix immediately → Recheck", "⑤ Inner loop: automatically triggered after editing"),
("Issues found in review → Go back to ④ to modify", "⑤→④ rollback: ensure delivery quality"),
]
ly = 365
for label, note in loops:
svg.rect(80, ly, 500, 46, fill='light')
svg.text(330, ly + 15, label, size=FS_SMALL, bold=True)
svg.text(330, ly + 34, note, size=FS_TINY, fill='text_light')
ly += 50
# Annotations on the right
annots = [
"Agent status bar: cwd, git branch",
"Agent status bar: unstaged changes",
"Tool output: head/tail truncation",
"Persistent terminal session",
]
for i, ann in enumerate(annots):
svg.rect(610, 365 + i * 50, 250, 38, fill='code_bg', stroke='dark', rx=4)
svg.text(735, 384 + i * 50, ann, size=FS_TINY, fill='text_light')
svg.text(w / 2, 565, "Plan before action · Verification throughout · Documentation and code co-evolve", size=FS_BODY, bold=True, fill='darker')
svg.save(os.path.join(OUT, 'fig5-2.svg'))
# ──────────────────────── fig5-3 ────────────────────────
def fig5_3():
"""Search tool comparison (four tools + actual query examples)"""
w, h = 880, 560
svg = SVG(w, h)
svg.text(w / 2, 30, "Comparison of four search tools", size=FS_TITLE, bold=True)
tools = [
("Regex content match (grep)", 'medium',
"rg \"def handle_.*\" --type py",
["src/api.py:42: def handle_request(..)",
"src/api.py:89: def handle_timeout(..)",
"src/ws.py:15: def handle_connect(..)"],
"Exact text → all occurrence positions"),
("Filename match (glob)", 'light',
"glob: **/test_*.py",
["tests/test_api.py",
"tests/test_auth.py",
"tests/unit/test_parser.py"],
"Path pattern → does not read file content"),
("Semantic Code Search", 'light',
"\"Handle User Input Validation\"",
["[0.91] src/validators.py:validate_input()",
"[0.87] src/forms.py:sanitize_fields()",
"[0.82] src/api.py:check_params()"],
"Natural Language → Vector + BM25 Hybrid"),
("Symbol Definition/Reference", 'medium',
"find_references: UserService",
["Definition: src/services/user.py:12",
"Reference: src/api/routes.py:34 (import)",
"Reference: src/api/routes.py:56 (call)",
"Reference: tests/test_user.py:8 (test)"],
"AST Level → Disambiguate Same Names"),
]
col_w = (w - 60) // 2
col_gap = 20
for i, (title, fill, query, results, note) in enumerate(tools):
col = i % 2
row = i // 2
x = 20 + col * (col_w + col_gap)
y = 55 + row * 260
svg.rect(x, y, col_w, 240, fill='white', stroke='border')
svg.rect(x, y, col_w, 36, fill=fill, rx=CORNER_R)
tc = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(x + col_w / 2, y + 18, title, size=FS_SMALL, bold=True, fill=tc)
svg.text(x + 12, y + 54, "Query:", size=FS_TINY, bold=True, anchor='start', fill='text_light')
svg.rect(x + 8, y + 64, col_w - 16, 24, fill='code_bg', stroke='dark', rx=3)
svg.mono(x + 14, y + 76, query, size=11)
svg.text(x + 12, y + 102, "Result:", size=FS_TINY, bold=True, anchor='start', fill='text_light')
rh = len(results) * 20 + 12
svg.rect(x + 8, y + 112, col_w - 16, rh, fill='code_bg', stroke='dark', rx=3)
for j, r in enumerate(results):
svg.mono(x + 14, y + 128 + j * 20, r, size=10)
svg.text(x + col_w / 2, y + 226, note, size=FS_TINY, fill='text_light')
svg.save(os.path.join(OUT, 'fig5-3.svg'))
# ──────────────────────── fig5-3 ────────────────────────
def fig5_4():
"""File Editing Scheme Comparison (Five Methods + Code Examples)"""
w, h = 900, 700
svg = SVG(w, h)
svg.text(w / 2, 28, "Comparison of Five File Editing Schemes", size=FS_TITLE, bold=True)
approaches = [
("Diff + Apply Model", "dark",
["LLM Output Diff Description:",
"- def foo(x):",
"- return x",
"+ def foo(x, y=0):",
"+ return x + y",
"→ Small Model Locates and Applies"],
"Advantage: Separation of Concerns",
"Disadvantage: Minor Deviation Causes Misalignment"),
("Old String → New String", "medium",
['old: "def foo(x):\\n',
' return x"',
'new: "def foo(x, y=0):\\n',
' return x + y"',
"→ Exact String Match Replacement"],
"Advantage: Predictable, Unambiguous",
"Disadvantage: Large Deletions Require Full Output"),
("Line Number Positioning", "light",
["Delete lines 42-43, insert:",
" def foo(x, y=0):",
" return x + y",
"",
"→ Line Number Specifies Exact Range"],
"Advantage: Efficient for Large Operations",
"Disadvantage: Line Numbers Error-Prone in Long Files"),
("Vim-like Commands", "light",
["42G (Jump to line 42)",
"cw (Replace word)",
"dd (Delete line)",
"yy/p (Copy/Paste)",
"→ Rich editing semantics"],
"Advantage: Efficient move/reorganize",
"Disadvantage: Weak models produce more errors"),
("Head-tail matching", "medium",
['start: "def foo(x):"',
'end: " return x"',
'new: "def foo(x, y=0):',
' return x + y"',
"→ Only need boundaries to locate"],
"Advantage: Large deletion without full output",
"Disadvantage: Boundary combination must be unique"),
]
col_w = 168
col_gap = 10
total_cw = len(approaches) * col_w + (len(approaches) - 1) * col_gap
sx = (w - total_cw) / 2
max_code_h = max(len(a[2]) for a in approaches) * 17 + 14
py = 101 + max_code_h + 12 # common top for every Adv/Disadv box (keeps them aligned)
box_h = 80
for i, (title, fill, code_lines, pro, con) in enumerate(approaches):
x = sx + i * (col_w + col_gap)
svg.rect(x, 55, col_w, 38, fill=fill, rx=CORNER_R)
tc = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(x + col_w / 2, 74, title, size=FS_TINY, bold=True, fill=tc)
code_h = len(code_lines) * 17 + 14
svg.rect(x, 101, col_w, code_h, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(code_lines):
svg.mono(x + 6, 117 + j * 17, line, size=11)
svg.rect(x + 4, py, col_w - 8, box_h, fill='white', stroke='dark', rx=3)
svg.text_block(x + col_w / 2, py + 5, col_w - 18,
[(pro, 'text'), (con, 'text_light')], size=FS_TINY - 2,
min_size=9, line_gap=1.18)
# Adoption bar chart at bottom
chart_y = py + box_h + 22
svg.line(30, chart_y, w - 30, chart_y, color='dark', dash=True)
svg.text(w / 2, chart_y + 24, "Actual adoption", size=FS_BODY, bold=True)
adoptions = [
("Old→New", "Claude Code", 0.85, 'dark'),
("Line Number Positioning", "IDE deep integration scenarios", 0.50, 'medium'),
("Diff + Apply", "Cursor", 0.40, 'light'),
("Head-tail matching", "Partial custom solutions", 0.30, 'light'),
("Vim commands", "Experimental solutions", 0.15, 'code_bg'),
]
bar_x, bar_w_max = 250, 480
by = chart_y + 48
for label, products, ratio, fill in adoptions:
svg.text(bar_x - 10, by + 14, label, size=FS_TINY, anchor='end', bold=True)
bw = bar_w_max * ratio
svg.rect(bar_x, by, bw, 28, fill=fill, rx=3)
tc = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(bar_x + bw / 2, by + 14, products, size=FS_TINY, fill=tc)
by += 38
svg.save(os.path.join(OUT, 'fig5-4.svg'))
# ──────────────────────── fig5-4 ────────────────────────
def fig5_5():
"""PPT generation pipeline (Proposer-Reviewer collaboration + Slidev code)"""
w, h = 880, 560
svg = SVG(w, h)
svg.text(w / 2, 30, "PPT generation: Proposer-Reviewer collaboration mechanism", size=FS_TITLE, bold=True)
# Proposer Agent (left)
svg.rect(20, 60, 350, 280, fill='white', stroke='border', dash=True)
svg.text(195, 82, "Proposer Agent", size=FS_BODY, bold=True)
svg.text(40, 110, "Input: Paper/content", size=FS_SMALL, anchor='start', bold=True)
svg.rect(30, 125, 330, 24, fill='code_bg', stroke='dark', rx=3)
svg.mono(38, 137, "paper.pdf → Extract sections/arguments/figures", size=11)
svg.text(40, 168, "Output: Slidev Markdown", size=FS_SMALL, anchor='start', bold=True)
code_lines = [
"---",
"layout: two-cols",
"---",
"# Transformer Architecture",
"::left::",
"- Self-attention mechanism",
"- Multi-head attention",
"::right::",
"<img src=\"fig3.png\" />",
]
ch = svg.code_block(30, 182, 330, code_lines, font_size=10, line_h=14)
# Reviewer Agent (right)
svg.rect(510, 60, 350, 280, fill='white', stroke='border', dash=True)
svg.text(685, 82, "Reviewer Agent", size=FS_BODY, bold=True)
svg.text(520, 110, "Step 1: Render screenshot", size=FS_SMALL, anchor='start', bold=True)
svg.rect(520, 125, 330, 50, fill='light')
svg.text(685, 142, "slidev export --per-slide", size=FS_TINY, fill='text_light')
svg.text(685, 160, "→ slide-01.png, slide-02.png ...", size=FS_TINY, fill='text_light')
svg.text(520, 192, "Step 2: Vision LLM review", size=FS_SMALL, anchor='start', bold=True)
critique_lines = [
"Review dimensions:",
" ✓ Text overflow boundary",
" ✓ Layout too crowded",
" ✓ Image size appropriate",
" ✗ Slide 3: Text overflows right column",
" ✗ Slide 7: Content too dense",
]
svg.rect(520, 208, 330, len(critique_lines) * 16 + 12, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(critique_lines):
svg.mono(528, 222 + j * 16, line, size=10)
# Arrows: Proposer → Reviewer → Proposer (loop)
svg.arrow(370, 200, 508, 150, label="Slidev code")
svg.arrow(508, 300, 370, 260, label="Modification suggestions", dash=True)
# Iteration badge
_pill(svg, 395, 220, 100, 24, "Iterate 2-3 rounds", fill='dark', font_size=11, bold=True)
# Bottom: why separate agents
svg.line(30, 365, w - 30, 365, color='dark', dash=True)
svg.text(w / 2, 388, "Why separate Proposer and Reviewer?", size=FS_BODY, bold=True)
reasons = [
("Single Agent Problem", [
"Tens of pages of rendered screenshots → context bloat",
"Code + screenshot mix → attention dispersion",
]),
("Advantages of Separation", [
"Reviewer independent context → only screenshots + code",
"Proposer focuses on code → only receives modification suggestions",
]),
("Actual Effect", [
"Significantly reduces context usage",
"Fix accuracy improves significantly",
]),
]
rx = 30
for title, items in reasons:
svg.rect(rx, 405, 270, 130, fill='light')
svg.text(rx + 135, 425, title, size=FS_SMALL, bold=True)
for j, item in enumerate(items):
svg.text(rx + 135, 450 + j * 24, item, size=FS_TINY, fill='text_light')
rx += 290
svg.save(os.path.join(OUT, 'fig5-5.svg'))
# ──────────────────────── fig5-5 ────────────────────────
def fig5_6():
"""Experiment 5.6+5.7: Paper→PPT→Video end-to-end pipeline"""
w, h = 880, 560
svg = SVG(w, h)
svg.text(w / 2, 30, "Experiment 5.6+5.7: Paper → PPT → Lecture video", size=FS_TITLE, bold=True)
# Top pipeline: paper → PPT
stages_top = [
("PDF Input", 'medium', [
"paper.pdf",
"Parse doc structure",
"Extract figure refs",
]),
("Content Planning", 'light', [
"10-20 page structure",
"Extract core arguments",
"Assign figures to pages",
]),
("Slidev Generation", 'light', [
"Generate page by page",
"layout: two-cols",
"Code + image layout",
]),
("Rendering Check", 'medium', [
"export --per-slide",
"Vision LLM review",
"Overflow detection",
]),
("Iterative Fix", 'light', [
"Reviewer→Proposer",
"Modify Slidev code",
"Re-render and verify",
]),
]
sw = 155
sgap = 10
total = len(stages_top) * sw + (len(stages_top) - 1) * sgap
sx = (w - total) / 2
svg.text(w / 2, 60, "Phase 1: PPT Generation (Proposer-Reviewer)", size=FS_SMALL, bold=True, fill='text_light')
for i, (title, fill, details) in enumerate(stages_top):
x = sx + i * (sw + sgap)
svg.rect(x, 72, sw, 130, fill=fill)
svg.text(x + sw / 2, 92, title, size=FS_SMALL, bold=True)
svg.line(x + 8, 104, x + sw - 8, 104, color='dark')
for j, line in enumerate(details):
svg.mono(x + 8, 120 + j * 20, line, size=10)
if i < len(stages_top) - 1:
svg.arrow(x + sw + 2, 72 + 65, x + sw + sgap - 2, 72 + 65)
# Arrow down
svg.arrow(w / 2, 202, w / 2, 240)
svg.text(w / 2 + 60, 222, "PPT completed", size=FS_SMALL, fill='text_light')
# Bottom pipeline: PPT → Video
svg.text(w / 2, 255, "Phase 2: Video synthesis", size=FS_SMALL, bold=True, fill='text_light')
stages_bot = [
("Screenshot per page", 'medium', [
"slide-01.png",
"slide-02.png",
"...",
]),
("Script generation", 'light', [
"LLM colloquial script",
"Narration per page",
"Guiding narrative",
]),
("TTS synthesis", 'light', [
"Text → speech",
"speech-01.mp3",
"speech-02.mp3",
]),
("Audio-video sync", 'medium', [
"ffmpeg synthesis",
"Match audio duration",
"Transition effects",
]),
("Final video", 'dark', [
"output.mp4",
"5-15 minutes",
"Audio + visual output",
]),
]
for i, (title, fill, details) in enumerate(stages_bot):
x = sx + i * (sw + sgap)
svg.rect(x, 268, sw, 130, fill=fill)
tc = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(x + sw / 2, 288, title, size=FS_SMALL, bold=True, fill=tc)
svg.line(x + 8, 300, x + sw - 8, 300, color='dark')
for j, line in enumerate(details):
fc = 'white' if fill in ('dark', 'darker') else 'text'
svg.mono(x + 8, 316 + j * 20, line, size=10, fill=fc)
if i < len(stages_bot) - 1:
svg.arrow(x + sw + 2, 268 + 65, x + sw + sgap - 2, 268 + 65)
# Bottom: key metrics
svg.line(30, 420, w - 30, 420, color='dark', dash=True)
svg.text(w / 2, 440, "Acceptance criteria", size=FS_BODY, bold=True)
criteria = [
("PPT", "10-20 pages · Cover main contributions · ≥3 original charts"),
("Rendering", "Zero text overflow · Reasonable layout · Text-image match"),
("Video", "5-15 minutes · Audio-video sync · Coherent narration"),
]
cy = 462
for label, desc in criteria:
_pill(svg, 180, cy, 92, 26, label, fill='dark', font_size=12, bold=True)
svg.text(285, cy + 13, desc, size=FS_TINY, fill='text_light', anchor='start')
cy += 30
svg.save(os.path.join(OUT, 'fig5-6.svg'))
# ──────────────────────── fig5-7 ────────────────────────
def fig5_8():
"""Dynamic form generation flow (LLM→HTML→JSON→Continue)"""
w, h = 880, 560
svg = SVG(w, h)
svg.text(w / 2, 30, "Dynamic form generation: Structured intent clarification", size=FS_TITLE, bold=True)
# Step 1: User input
svg.rect(20, 60, 200, 60, fill='medium')
svg.text(120, 82, "User input", size=FS_SMALL, bold=True)
svg.text(120, 100, "\"I want to book a flight to Beijing\"", size=FS_TINY, fill='text_light')
svg.arrow(220, 90, 260, 90)
# Step 2: LLM analyzes and generates form
svg.rect(260, 55, 260, 140, fill='white', stroke='border', dash=True)
svg.text(390, 75, "LLM analysis → Generate form code", size=FS_SMALL, bold=True)
form_code = [
'<form id="clarify">',
' <input type="text"',
' name="from" label="Departure city"/>',
' <input type="date"',
' name="depart" label="Departure date"/>',
' <select name="type">',
' <option>One-way</option>',
' <option>Round Trip</option>',
' </select>',
'</form>',
]
svg.rect(270, 90, 240, len(form_code) * 13 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(form_code):
svg.mono(276, 103 + j * 13, line, size=9)
svg.arrow(520, 130, 560, 130)
# Step 3: Rendered form (visual representation)
svg.rect(560, 55, 300, 200, fill='white', stroke='border')
svg.text(710, 75, "Rendered form interface", size=FS_SMALL, bold=True)
fields = [
("Departure City", "Shanghai", 95),
("Departure Date", "2025-08-15", 135),
("Trip Type", "Round Trip ▾", 175),
("Return Date", "2025-08-22", 215),
]
for label, value, fy in fields:
svg.text(580, fy, label, size=FS_TINY, anchor='start', bold=True)
svg.rect(660, fy - 12, 180, 24, fill='code_bg', stroke='dark', rx=3)
svg.mono(668, fy, value, size=11)
_pill(svg, 660, 238, 80, 26, "Submit", fill='dark', font_size=FS_SMALL, bold=True)
# Step 4: JSON result
svg.arrow(710, 268, 710, 300)
svg.rect(560, 300, 300, 110, fill='white', stroke='border', dash=True)
svg.text(710, 318, "Structured JSON Response", size=FS_SMALL, bold=True)
json_lines = [
'{"from": "Shanghai",',
' "depart": "2025-08-15",',
' "type": "Round Trip",',
' "return": "2025-08-22"}',
]
svg.rect(570, 330, 280, len(json_lines) * 16 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(json_lines):
svg.mono(578, 344 + j * 16, line, size=11)
# Step 5: Agent continues with structured data
svg.arrow(560, 390, 400, 440)
svg.rect(100, 430, 500, 50, fill='medium')
svg.text(350, 448, "Agent continues execution with complete parameters", size=FS_BODY, bold=True)
svg.text(350, 468, "search_flights(from='Shanghai', to='Beijing', depart='2025-08-15', ...)", size=FS_TINY, fill='text_light')
# Comparison: text vs form
svg.rect(20, 280, 250, 140, fill='light')
svg.text(145, 300, "Comparison: Plain Text vs Form", size=FS_SMALL, bold=True)
comp = [
"Text Q&A: 10 rounds of dialogue",
" Q1: Departure city? A: Shanghai",
" Q2: Date? A: August 15",
" Q3: One-way or round trip? ...",
"",
"Dynamic Form: 1 submission",
" All information collected at once",
" Cascading logic handled automatically",
]
for j, line in enumerate(comp):
svg.mono(30, 318 + j * 13, line, size=10)
# Bottom annotation
svg.text(w / 2, 510, "Form code dynamically generated by LLM → Cascading logic: automatically show return date when \"Round Trip\" is selected", size=FS_SMALL, fill='darker')
svg.save(os.path.join(OUT, 'fig5-8.svg'))
# ──────────────────────── fig5-8 ────────────────────────
def fig5_9():
"""SQL Query Agent (artifact mode — data bypasses LLM)"""
w, h = 880, 580
svg = SVG(w, h)
svg.text(w / 2, 30, "SQL Query Agent: Artifact Mode vs Traditional Mode", size=FS_TITLE, bold=True)
# Top: Traditional mode (data through LLM)
svg.rect(20, 55, w - 40, 200, fill='white', stroke='border', dash=True)
svg.text(60, 78, "Traditional mode: data passes through LLM (inefficient)", size=FS_BODY, bold=True, anchor='start')
_pill(svg, w - 110, 65, 80, 24, "✗ Inefficient", fill='dark', font_size=12, bold=True)
trad_steps = [
("User", 'medium', "\"Number of people per department?\""),
("LLM", 'light', "Generate SQL"),
("DB", 'medium', "Execute \\n query"),
("LLM", 'light', "Read \\n 5000 lines"),
("User", 'medium', "Text \\n description"),
]
tsx = 60
for i, (name, fill, desc) in enumerate(trad_steps):
svg.rect(tsx, 100, 130, 60, fill=fill)
svg.text(tsx + 65, 118, name, size=FS_SMALL, bold=True)
for j, line in enumerate(desc.split('\\n')):
svg.text(tsx + 65, 138 + j * 16, line, size=FS_TINY, fill='text_light')
if i < len(trad_steps) - 1:
svg.arrow(tsx + 130, 130, tsx + 150, 130)
tsx += 155
svg.rect(60, 175, w - 120, 30, fill='code_bg', stroke='dark', rx=3)
svg.mono(70, 190, "Problem: LLM copying data is error-prone · consumes many tokens · high latency", size=12)
# Separator
svg.line(30, 265, w - 30, 265, color='dark', dash=True)
# Bottom: Artifact mode (data bypasses LLM)
svg.rect(20, 275, w - 40, 280, fill='white', stroke='border', dash=True)
svg.text(60, 298, "Artifact mode: data directly to frontend (efficient)", size=FS_BODY, bold=True, anchor='start')
_pill(svg, w - 110, 285, 80, 24, "✓ Efficient", fill='medium', font_size=12, bold=True)
# LLM generates code, not data
svg.rect(40, 315, 250, 120, fill='light')
svg.text(165, 335, "LLM only generates code", size=FS_SMALL, bold=True)
sql_code = [
"build_artifact(",
' type="sql",',
' code="SELECT dept,',
' COUNT(*) as cnt',
' FROM employees',
' GROUP BY dept")',
]
svg.rect(50, 345, 230, len(sql_code) * 14 + 8, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(sql_code):
svg.mono(58, 358 + j * 14, line, size=10)
svg.arrow(290, 380, 340, 380)
# Frontend executes directly
svg.rect(340, 315, 250, 120, fill='medium')
svg.text(465, 335, "Frontend executes directly", size=FS_SMALL, bold=True)
svg.rect(350, 348, 230, 75, fill='code_bg', stroke='dark', rx=3)
table = [
"┌────────┬──────┐",
"│ dept │ cnt │",
"├────────┼──────┤",
"│ R&D Dept │ 42 │",
"│ Marketing Dept │ 28 │",
"└────────┴──────┘",
]
for j, line in enumerate(table):
svg.mono(358, 360 + j * 12, line, size=9)
svg.arrow(590, 380, 640, 380)
# Visualization artifact
svg.rect(640, 315, 210, 120, fill='light')
svg.text(745, 335, "Visualization Artifact", size=FS_SMALL, bold=True)
svg.text(745, 355, "Second artifact:", size=FS_TINY, fill='text_light')
svg.rect(650, 365, 190, 60, fill='code_bg', stroke='dark', rx=3)
svg.mono(658, 380, "build_artifact(", size=10)
svg.mono(658, 394, ' type="chart",', size=10)
svg.mono(658, 408, ' code="bar(data)")', size=10)
# Data flow annotation
svg.rect(180, 450, 520, 45, fill='dark')
svg.text(440, 465, "Data flow: DB → Frontend → Visualization (completely bypasses LLM)", size=FS_BODY, fill='white', bold=True)
svg.text(440, 483, "LLM is only responsible for generating code, not for data transfer", size=FS_TINY, fill='white')
# Data flow arrow (bypass)
svg.arrow_curved(465, 435, 745, 435, curve=25, dash=True, color='dark')
svg.save(os.path.join(OUT, 'fig5-9.svg'))
# ──────────────────────── fig5-6 ────────────────────────
def fig5_7():
"""Experiment 5.10: Production log intelligent diagnosis pipeline"""
w, h = 880, 560
svg = SVG(w, h)
svg.text(w / 2, 30, "Experiment 5.10: Production log intelligent diagnosis", size=FS_TITLE, bold=True)
# Pipeline: left to right, then down
# Row 1: ingestion → analysis
svg.rect(20, 60, 250, 160, fill='white', stroke='border', dash=True)
svg.text(145, 82, "① Log collection", size=FS_BODY, bold=True)
log_lines = [
"trajectory_001.json:",
' {"role":"user","content":',
' "Cancel order #12345"}',
' {"role":"assistant",',
' "tool_call":"cancel_order"}',
' {"role":"tool","result":',
' "ERROR: no insurance"}',
' → Agent did not inform user of the reason',
]
svg.rect(30, 98, 230, len(log_lines) * 14 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(log_lines):
svg.mono(38, 112 + j * 14, line, size=9)
svg.arrow(270, 140, 310, 140)
svg.rect(310, 60, 260, 160, fill='white', stroke='border', dash=True)
svg.text(440, 82, "② LLM analysis", size=FS_BODY, bold=True)
analysis = [
"Input: trace + architecture document + PRD",
"",
"Analysis dimensions:",
" - Whether the execution flow meets expectations",
" - Whether tool calls are correct",
" - Whether error handling is appropriate",
" - Whether user experience is satisfactory",
"",
"→ Locate the deviating step and module",
]
for j, line in enumerate(analysis):
svg.mono(320, 100 + j * 14, line, size=10)
svg.arrow(570, 140, 610, 140)
svg.rect(610, 60, 250, 160, fill='white', stroke='border', dash=True)
svg.text(735, 82, "③ Structured report", size=FS_BODY, bold=True)
report = [
"Problem report:",
" Priority: P1 (User Churn Risk)",
" Module: cancellation_handler",
" Description: After cancellation failure, no explanation of",
" the reason and alternatives is provided to the user",
" Suggestion: Add failure reason explanation",
" and guidance to purchase insurance",
]
svg.rect(620, 98, 230, len(report) * 14 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(report):
svg.mono(628, 112 + j * 14, line, size=9)
# Row 2: test case generation → issue creation
svg.arrow(w / 2, 220, w / 2, 260)
svg.rect(60, 260, 370, 160, fill='white', stroke='border', dash=True)
svg.text(245, 282, "④ Regression Test Case Generation", size=FS_BODY, bold=True)
test_code = [
"def test_cancel_no_insurance():",
' """Trajectory #001, Round 3-5"""',
" # Replay: User requests cancellation of economy class",
" resp = agent.run(",
' "Cancel Order #12345")',
" # Verify: Should explain the reason",
' assert "insurance" in resp.text',
' assert "alternative" in resp.text',
" # Verify: Should not directly return an error",
' assert "ERROR" not in resp.text',
]
svg.rect(70, 298, 350, len(test_code) * 14 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(test_code):
svg.mono(78, 312 + j * 14, line, size=10)
svg.arrow(430, 340, 470, 340)
svg.rect(470, 260, 380, 160, fill='white', stroke='border', dash=True)
svg.text(660, 282, "⑤ GitHub Issue Auto-creation", size=FS_BODY, bold=True)
issue = [
"gh issue create \\",
' --title "P1: Cancellation failure lacks',
' user guidance" \\',
' --body "**Problem**: Agent directly',
' returns an error after cancel_order',
' failure, without explaining the reason...',
' **Trajectory**: #001 Round 3-5',
' **Test**: test_cancel_..." \\',
' --assignee @backend-team',
]
svg.rect(480, 298, 360, len(issue) * 14 + 10, fill='code_bg', stroke='dark', rx=3)
for j, line in enumerate(issue):
svg.mono(488, 312 + j * 14, line, size=10)
# Bottom: full pipeline summary
svg.rect(100, 445, w - 200, 44, fill='dark')
svg.text(w / 2, 460, "End-to-End Automation: Log → Analysis → Report → Test → Issue", size=FS_BODY, fill='white', bold=True)
svg.text(w / 2, 480, "Integrate with GitHub via MCP · Test framework auto-replay verification", size=FS_TINY, fill='white')
svg.text(w / 2, 530, "Reduce manual diagnosis cost from hours to minutes", size=FS_SMALL, fill='darker', bold=True)
svg.save(os.path.join(OUT, 'fig5-7.svg'))
# ──────────────────────── fig5-9 ────────────────────────
def fig5_10():
"""Agent Bootstrap Loop (Self-replication and Evolution)"""
w, h = 880, 555
svg = SVG(w, h)
svg.text(w / 2, 30, "Agent Bootstrap: From Code to Self-replication", size=FS_TITLE, bold=True)
# Evolution timeline at top
stages = [
("Dust → Star", "Physical Laws"),
("Star → Planet", "Gravitational aggregation"),
("Planet → Life", "DNA self-replication"),
("Life → Agent", "Code bootstrapping"),
]
sx = 60
for i, (stage, mechanism) in enumerate(stages):
fill = 'dark' if i == 3 else ('medium' if i == 2 else 'light')
svg.rect(sx, 55, 180, 50, fill=fill)
tc = 'white' if fill in ('dark', 'darker') else 'text'
svg.text(sx + 90, 72, stage, size=FS_SMALL, bold=True, fill=tc)
svg.text(sx + 90, 92, mechanism, size=FS_TINY, fill='white' if fill == 'dark' else 'text_light')
if i < len(stages) - 1:
svg.arrow(sx + 180, 80, sx + 195, 80)
sx += 200
# Key distinction
svg.line(30, 120, w - 30, 120, color='dark', dash=True)
svg.rect(30, 135, 400, 70, fill='light')
svg.text(230, 155, "DNA self-replication: random mutation + natural selection", size=FS_SMALL, bold=True)
svg.text(230, 177, "Does not understand itself · Cannot modify directionally · 3.7 billion years of blind trial and error", size=FS_TINY, fill='text_light')
svg.rect(450, 135, 400, 70, fill='dark')
svg.text(650, 155, "Agent bootstrapping: understand code + directed design", size=FS_SMALL, bold=True, fill='white')
svg.text(650, 177, "Understands its own mechanisms · Creates purposefully · Inherits best practices", size=FS_TINY, fill='white')
# Bootstrap cycle (main diagram)
svg.rect(20, 225, 390, 295, fill='white', stroke='border', dash=True)
svg.text(215, 248, "Original Agent (own code)", size=FS_BODY, bold=True)
svg.rect(30, 265, 175, 124, fill='light')
svg.text(118, 285, "System prompt", size=FS_SMALL, bold=True)
svg.text(40, 308, "You are an airline customer service agent", size=12, anchor='start')
svg.text(40, 326, "Cancellation rules: ...", size=12, anchor='start')
svg.text(40, 344, "Transfer rules: ...", size=12, anchor='start')
svg.text(40, 362, "Tool: cancel_order", size=12, anchor='start')
svg.rect(215, 265, 185, 124, fill='light')
svg.text(308, 285, "Agent framework code", size=FS_SMALL, bold=True)
svg.mono(225, 308, "loop:", size=12)
svg.mono(225, 326, " msg = llm(ctx)", size=12)
svg.mono(225, 344, " if tool_call:", size=12)
svg.mono(225, 362, " exec(tool)", size=12)
svg.rect(30, 400, 370, 54, fill='code_bg', stroke='dark', rx=4)
svg.text(215, 419, "Tool definition + MCP integration + message format", size=FS_SMALL)
svg.text(215, 438, "Verified high-quality implementation", size=FS_TINY, fill='text_light')
# Arrow: self-replication — label placed above dashed box headers
svg.text(440, 215, "Copy + modify", size=FS_TINY, fill='text_light', bold=True)
svg.arrow(410, 375, 470, 375)
# New Agent
svg.rect(470, 225, 390, 295, fill='white', stroke='border', dash=True)
svg.text(665, 248, "New Agent (after directed modification)", size=FS_BODY, bold=True)
svg.rect(480, 265, 180, 124, fill='medium')
svg.text(570, 285, "New system prompt", size=FS_SMALL, bold=True)
svg.text(490, 308, "You are an e-commerce customer service agent", size=12, anchor='start')
svg.text(490, 326, "Refund rules: ...", size=12, anchor='start')
svg.text(490, 344, "Logistics inquiry: ...", size=12, anchor='start')
svg.text(490, 362, "Tool: refund_order", size=12, anchor='start')
svg.rect(670, 265, 180, 124, fill='light')
svg.text(760, 285, "Inherited framework code", size=FS_SMALL, bold=True)
svg.mono(680, 308, "loop:", size=12)
svg.mono(680, 326, " msg = llm(ctx)", size=12)
svg.mono(680, 344, " if tool_call:", size=12)
svg.mono(680, 362, " exec(tool)", size=12)
svg.rect(480, 400, 370, 54, fill='code_bg', stroke='dark', rx=4)
svg.text(665, 419, "New tools + new business logic", size=FS_SMALL)
svg.text(665, 438, "Architecture framework fully inherited → quality guaranteed", size=FS_TINY, fill='text_light')
svg.save(os.path.join(OUT, 'fig5-10.svg'))
# ──────────────────────── fig5-10 ────────────────────────
def fig5_11():
"""Experiment 5.14: Meta-Agent pipeline for creating new Agents"""
w, h = 880, 610
svg = SVG(w, h)
svg.text(w / 2, 30, "Experiment 5.14: An Agent that can create Agents", size=FS_TITLE, bold=True)
# Input: user request
svg.rect(30, 60, 280, 55, fill='medium')
svg.text(170, 80, "User requirements", size=FS_SMALL, bold=True)
svg.text(170, 98, "\"Create an e-commerce refund customer service Agent\"", size=FS_TINY, fill='text_light')
svg.arrow(170, 115, 170, 145)
# Meta-Agent: the creator
svg.rect(20, 145, 840, 230, fill='white', stroke='border', dash=True)
svg.text(440, 168, "Meta-Agent (Coding Agent)", size=FS_BODY, bold=True)
# Step 1: Read reference
svg.rect(35, 185, 190, 170, fill='light')
svg.text(130, 205, "① Read reference code", size=FS_SMALL, bold=True)
svg.mono(45, 228, "read_file:", size=12)
svg.mono(45, 248, " agent.py", size=12)
svg.mono(45, 268, " tools/*.py", size=12)
svg.mono(45, 288, " system_prompt.md", size=12)
svg.mono(45, 308, " config.yaml", size=12)
svg.text(45, 332, "→ Understand architecture patterns", size=12, anchor='start', fill='text_light')
svg.arrow(225, 270, 248, 270)
# Step 2: Copy scaffold
svg.rect(248, 185, 190, 170, fill='light')
svg.text(343, 205, "② Copy scaffold", size=FS_SMALL, bold=True)
svg.mono(258, 228, "cp -r reference/", size=12)
svg.mono(258, 248, " → new_agent/", size=12)
svg.text(258, 278, "Keep:", size=12, anchor='start', fill='text_light')
svg.text(258, 298, " Agent loop framework", size=12, anchor='start', fill='text_light')
svg.text(258, 318, " Message format / KV optimization", size=12, anchor='start', fill='text_light')
svg.arrow(438, 270, 461, 270)
# Step 3: Targeted modification
svg.rect(461, 185, 190, 170, fill='medium')
svg.text(556, 205, "③ Targeted modifications", size=FS_SMALL, bold=True)
svg.mono(471, 228, "edit_file:", size=12)
svg.mono(471, 248, " system_prompt.md", size=12)
svg.text(471, 268, " → E-commerce refund rules", size=12, anchor='start', fill='text_light')
svg.mono(471, 290, " tools/refund.py", size=12)
svg.text(471, 310, " → Add refund tool", size=12, anchor='start', fill='text_light')
svg.mono(471, 332, " config.yaml", size=12)
svg.arrow(651, 270, 674, 270)
# Step 4: Validate
svg.rect(674, 185, 175, 170, fill='light')
svg.text(761, 205, "④ Verification testing", size=FS_SMALL, bold=True)
svg.mono(684, 228, "bash:", size=12)
svg.mono(684, 248, " python agent.py", size=12)
svg.text(684, 270, " → Start new Agent", size=12, anchor='start', fill='text_light')
svg.text(684, 290, " → Send test messages", size=12, anchor='start', fill='text_light')
svg.text(684, 310, " → Check tool calls", size=12, anchor='start', fill='text_light')
svg.text(684, 330, " → Verify conversation flow", size=12, anchor='start', fill='text_light')
# Output: new agent
svg.arrow(w / 2, 375, w / 2, 410)
svg.rect(115, 410, 700, 90, fill='white', stroke='border', dash=True)
svg.text(465, 432, "Generated new Agent", size=FS_BODY, bold=True)
outputs = [
("system_prompt.md", "E-commerce refund rules"),
("tools/refund.py", "Refund / query tools"),
("agent.py", "Inherited framework code"),
("config.yaml", "Model / parameter configuration"),
]
ox = 135
for fname, desc in outputs:
svg.rect(ox, 448, 170, 42, fill='light')
svg.mono(ox + 85, 462, fname, size=10, anchor='middle')
svg.text(ox + 85, 480, desc, size=FS_TINY, fill='text_light')
ox += 178
# Bottom: comparison
svg.line(30, 515, w - 30, 515, color='dark', dash=True)
svg.rect(60, 530, 350, 54, fill='light')
svg.text(235, 549, "Generated from scratch: lacks best practices", size=FS_SMALL, bold=True)
svg.text(235, 571, "Ad-hoc context management · Non-standard tool design · Outdated API", size=FS_TINY, fill='text_light')
svg.rect(470, 530, 350, 54, fill='dark')
svg.text(645, 549, "Modified from example: inherits best practices", size=FS_SMALL, bold=True, fill='white')
svg.text(645, 571, "Standard message format · Standard tool design · Modern API", size=FS_TINY, fill='white')
svg.save(os.path.join(OUT, 'fig5-11.svg'))
# ──────────────────────── main ────────────────────────
def main():
os.makedirs(OUT, exist_ok=True)
figs = [
fig5_1, fig5_2, fig5_3, fig5_4, fig5_5, fig5_6,
fig5_7, fig5_8, fig5_9, fig5_10, fig5_11,
]
for fn in figs:
fn()
print(f" ✓ {fn.__name__}: {fn.__doc__}")
print(f"\nGenerated {len(figs)} figures in {OUT}/")
if __name__ == '__main__':
main()