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Restructure: archive Python+Rust, prep for TypeScript rewrite
- Move Python proxy + scripts to legacy/python/ (parity oracle during port) - Delete Rust port (src/rust/) - history preserved in commits482c967,f094649- Delete Zig atlas builder (src/zig/) - will regenerate from TTF via Node - Move JetBrainsMono-Regular.ttf to assets/ - Update .gitignore for Node/TS/Wrangler Next: scaffold TypeScript with dual Node + Cloudflare Workers targets.
This commit is contained in:
teamchong
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"""
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Experimental Python proxy for testing system-prompt-as-image compression.
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Sits between Claude Code and api.anthropic.com. Forwards Claude Code's own auth
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(OAuth bearer + headers) untouched. When COMPRESS_SYSTEM is set, intercepts the
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request body and rewrites the system prompt as image content blocks rendered
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with a popular terminal font (Menlo) at small pt-size so Anthropic's vision
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encoder can OCR it. Logs the full token breakdown (input / output / cache_read /
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cache_create) so we can measure the actual win/loss vs plain text.
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Usage:
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PORT=47821 COMPRESS_SYSTEM=1 python3 proxy_py.py
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# in another shell:
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ANTHROPIC_BASE_URL=http://127.0.0.1:47821 claude -p "..."
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"""
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from __future__ import annotations
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import base64, io, json, os, sys, threading, traceback
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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import httpx
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from PIL import Image, ImageDraw, ImageFont
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PORT = int(os.environ.get("PORT", "47821"))
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COMPRESS = os.environ.get("COMPRESS_SYSTEM", "0") == "1"
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FONT_PATH = os.environ.get("FONT_PATH", "/System/Library/Fonts/Menlo.ttc")
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FONT_SIZE = int(os.environ.get("FONT_SIZE", "5")) # 5pt verified OCR=99.7% on Opus 4.7
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MAX_EDGE = 1568 # Anthropic resizes larger images, destroying tiny-font OCR
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MIN_COMPRESS_CHARS = int(os.environ.get("MIN_COMPRESS_CHARS", "2000"))
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UPSTREAM = "https://api.anthropic.com"
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# Memoize rendered images so the SAME system prompt across turns produces
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# byte-identical PNGs (PIL's PNG encoder has tiny non-determinism that breaks
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# Anthropic's prompt cache lookup).
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import hashlib
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_render_cache: dict[str, list[bytes]] = {}
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# Inject COMPRESS_SYSTEM as default value for compress_mode placement
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# 'system' : put images in the system field (may not be supported by API)
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# 'user' : prepend image to first user message (cache_control on the image)
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# 'replace_system' : replace system with an empty text + add image to first user msg
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PLACEMENT = os.environ.get("PLACEMENT", "user")
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_font_cache: dict[int, ImageFont.FreeTypeFont] = {}
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def get_font(size: int) -> ImageFont.FreeTypeFont:
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if size not in _font_cache:
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_font_cache[size] = ImageFont.truetype(FONT_PATH, size)
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return _font_cache[size]
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_render_dims_cache: dict[str, list[tuple[int, int]]] = {}
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def render_chunks(text: str, font_size: int = FONT_SIZE) -> list[bytes]:
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"""Render text into the MINIMUM number of MAXIMALLY-PACKED images.
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Layout strategy: NEWSPAPER (multi-column). For 26K-char system prompt
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rendered at 5pt, a single-column layout would be ~3600 px tall (exceeds
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1568 cap → forces multiple images + per-image overhead). Multi-column
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packs the same text into a SQUAREish image: width = N_cols × col_width,
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height ≤ 1568. One image avoids per-image overhead doubling.
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Memoized on text content so the same prompt across turns yields BYTE-
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IDENTICAL PNG (PIL's PNG encoder has tiny non-determinism that breaks
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Anthropic's prompt cache hash if not memoized).
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"""
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key = hashlib.sha256(f"{font_size}:{text}".encode()).hexdigest()
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if key in _render_cache:
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return _render_cache[key]
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font = get_font(font_size)
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asc, desc = font.getmetrics()
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line_h = asc + desc
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char_w = font.getlength("M") or (font_size * 0.6)
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col_gap_px = 4 # tighter gap — every pixel matters
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edge = MAX_EDGE
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# Minify: kill trailing whitespace + collapse runs of blank lines.
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# Critical because system prompt has lots of blank lines that waste rows.
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raw = []
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last_blank = False
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for ln in text.split("\n"):
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ln = ln.rstrip()
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if ln == "":
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if last_blank:
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continue
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last_blank = True
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else:
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last_blank = False
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raw.append(ln if ln else " ")
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# Force aggressive wrapping at FIXED_COL_CHARS. Narrower cols pack better:
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# short lines (bullets, headers) waste the unused chars in their row.
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FIXED_COL_CHARS = int(os.environ.get("COL_CHARS", "80"))
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lines: list[str] = []
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for ln in raw:
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if len(ln) <= FIXED_COL_CHARS:
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lines.append(ln)
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else:
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for i in range(0, len(ln), FIXED_COL_CHARS):
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lines.append(ln[i:i + FIXED_COL_CHARS])
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col_w_px = int(FIXED_COL_CHARS * char_w) + 1
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lines_per_col = max(8, edge // line_h)
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n_cols_total = max(1, (len(lines) + lines_per_col - 1) // lines_per_col)
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img_w = n_cols_total * col_w_px + (n_cols_total - 1) * col_gap_px
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pngs: list[bytes] = []
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dims: list[tuple[int, int]] = []
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max_cols_per_img = max(1, edge // (col_w_px + col_gap_px))
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lines_per_img = lines_per_col * max_cols_per_img
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for s in range(0, len(lines), lines_per_img):
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chunk = lines[s:s + lines_per_img]
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c_needed = max(1, (len(chunk) + lines_per_col - 1) // lines_per_col)
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# Width: ONLY as wide as the cols actually used in this image
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chunk_img_w = c_needed * col_w_px + (c_needed - 1) * col_gap_px
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# Height: ONLY as tall as the tallest column in this image
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max_col_lines = min(lines_per_col, len(chunk) - (c_needed - 1) * lines_per_col)
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if c_needed > 1:
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# Earlier cols are full, last col may be partial
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tallest = lines_per_col if c_needed > 1 else len(chunk)
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else:
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tallest = len(chunk)
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# All non-last columns are full lines_per_col; last col has the remainder.
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# Single-column case → tight bound (just last_col_lines, no canvas pad).
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# Multi-column case → all earlier cols are full lines_per_col tall, so
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# the image must be lines_per_col rows tall to fit them.
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last_col_lines = len(chunk) - (c_needed - 1) * lines_per_col
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tallest = max(1, last_col_lines) if c_needed == 1 else lines_per_col
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chunk_img_h = line_h * tallest
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img = Image.new("L", (chunk_img_w, chunk_img_h), 255)
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d = ImageDraw.Draw(img)
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for c in range(c_needed):
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col_lines = chunk[c * lines_per_col:(c + 1) * lines_per_col]
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x = c * (col_w_px + col_gap_px)
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for i, ln in enumerate(col_lines):
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d.text((x, i * line_h - desc // 2), ln, fill=0, font=font)
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buf = io.BytesIO()
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# Save as 8-bit grayscale PNG so the rendered image has full contrast
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# AND preserves antialiasing. Previously used `P + ADAPTIVE colors=2`
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# which picked white+gray instead of white+black on AA-heavy content,
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# producing washed-out images that visually look broken (and OCR worse).
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# Grayscale PNG bytes are still deterministic → Anthropic cache still hits.
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img.save(buf, "PNG", optimize=True)
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pngs.append(buf.getvalue())
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dims.append((chunk_img_w, chunk_img_h))
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_render_cache[key] = pngs
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_render_dims_cache[key] = dims
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return pngs
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def render_dims(text: str, font_size: int = FONT_SIZE) -> list[tuple[int, int]]:
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key = hashlib.sha256(f"{font_size}:{text}".encode()).hexdigest()
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if key not in _render_dims_cache:
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render_chunks(text, font_size)
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return _render_dims_cache.get(key, [])
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def image_block(png_bytes: bytes, cache: bool = False) -> dict:
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blk = {
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/png",
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"data": base64.standard_b64encode(png_bytes).decode("ascii"),
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},
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}
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if cache:
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# Match Claude Code's extended cache TTL. If we use ephemeral (5m) here
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# while CC uses 1h later in the request, Anthropic rejects with
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# "ttl='1h' cache_control must not come after ttl='5m'".
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blk["cache_control"] = {"type": "ephemeral", "ttl": "1h"}
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return blk
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def extract_system_text(system_field) -> tuple[str, list[dict] | str | None]:
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"""Return (extracted_text, remainder).
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remainder is what should stay in the system field (or None to delete it)."""
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if system_field is None:
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return "", None
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if isinstance(system_field, str):
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return system_field, "" # replace with empty string
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if isinstance(system_field, list):
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# Concatenate all text blocks; keep non-text blocks in place.
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text_parts = []
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kept = []
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for b in system_field:
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if isinstance(b, dict) and b.get("type") == "text":
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text_parts.append(b.get("text", ""))
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else:
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kept.append(b)
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return "\n\n".join(text_parts), kept
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return "", system_field
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def transform_request(body: bytes) -> tuple[bytes, dict]:
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"""Compress system prompt + tool descriptions to image content."""
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info = {"compressed": False}
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try:
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req = json.loads(body)
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except Exception as e:
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info["parse_error"] = str(e)
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return body, info
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sys_field = req.get("system")
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text, remainder = extract_system_text(sys_field)
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# Strip Claude Code's per-turn-random `x-anthropic-billing-header: ...; cch=<rand>;`
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# line so the rest renders byte-identical across turns.
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billing_line_kept = None
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lines = text.split("\n", 1)
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if lines and lines[0].startswith("x-anthropic-billing-header:"):
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billing_line_kept = lines[0]
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text = lines[1] if len(lines) > 1 else ""
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# COMPRESS_TOOLS: move tool descriptions (+ optionally schemas) into the
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# same image. Replace each tool's description with a tiny stub.
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compress_tools = os.environ.get("COMPRESS_TOOLS", "1") == "1"
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compress_schemas = os.environ.get("COMPRESS_SCHEMAS", "1") == "1"
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tool_text_added = 0
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schemas_compressed = 0
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if compress_tools and isinstance(req.get("tools"), list):
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tool_doc_blocks = []
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for t in req["tools"]:
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if not isinstance(t, dict):
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continue
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name = t.get("name", "?")
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desc = t.get("description", "")
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doc_part = ""
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if desc and len(desc) > 80:
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doc_part = f"### Tool: {name}\n{desc}"
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t["description"] = f"See `{name}` docs in system context image."
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elif desc:
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doc_part = f"### Tool: {name}\n{desc}"
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# Compress input_schema: serialize full schema to text inside the
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# image, replace tools[].input_schema with a permissive stub. The
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# model still emits well-formed tool_use because it sees the real
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# schema in the image; Anthropic accepts any JSON object against
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# the {"type":"object"} placeholder.
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if compress_schemas and isinstance(t.get("input_schema"), dict):
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schema_json = json.dumps(t["input_schema"], indent=1)
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if len(schema_json) > 200: # only worth it for non-trivial schemas
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doc_part += f"\n#### Schema for `{name}`\n```json\n{schema_json}\n```"
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t["input_schema"] = {"type": "object"}
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schemas_compressed += 1
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if doc_part:
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tool_doc_blocks.append(doc_part)
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if tool_doc_blocks:
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tool_section = "\n\n# Tool Documentation\n\n" + "\n\n".join(tool_doc_blocks)
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text = text + tool_section
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tool_text_added = len(tool_section)
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info["tool_text_added"] = tool_text_added
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info["schemas_compressed"] = schemas_compressed
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info["system_text_chars"] = len(text)
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info["system_text_sha8"] = hashlib.sha256(text.encode()).hexdigest()[:8]
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# Dump every system text we see to /tmp so we can diff what changes.
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if os.environ.get("DUMP_SYSTEM") == "1":
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n = 0
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while os.path.exists(f"/tmp/sys_dump_{n}.txt"):
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n += 1
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with open(f"/tmp/sys_dump_{n}.txt", "w") as f:
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f.write(text)
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if len(text) < MIN_COMPRESS_CHARS:
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info["skipped"] = f"system <{MIN_COMPRESS_CHARS} chars"
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return body, info
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pngs = render_chunks(text)
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dims = render_dims(text)
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info["png_sha8"] = [hashlib.sha256(p).hexdigest()[:8] for p in pngs]
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info["dims"] = dims
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info["total_pixels"] = sum(w * h for w, h in dims)
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info["expected_image_tokens"] = sum(max(1, (w * h) // 750) for w, h in dims) + 85 * len(dims)
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info["text_tokens_estimate"] = len(text) // 4
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info["images"] = len(pngs)
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info["png_bytes"] = sum(len(p) for p in pngs)
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# Stash the FIRST image for the dashboard preview (so users can SEE what
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# we're sending). Cropped to a reasonable size so the page doesn't blow up.
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if pngs:
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with _session_stats["lock"]:
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_session_stats["latest_png_bytes"] = pngs[0]
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w0, h0 = dims[0] if dims else (0, 0)
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_session_stats["latest_png_meta"] = (
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f"{len(pngs)} image(s), {w0}×{h0}px, "
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f"{sum(len(p) for p in pngs)} bytes total — "
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f"compressed {info['system_text_chars']:,} chars "
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f"({info.get('text_tokens_estimate',0):,}→~{info['expected_image_tokens']:,} tokens)"
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)
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# Anthropic caps cache_control breakpoints at 4 per request. The model's
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# cache lookup matches the LONGEST cached prefix, so we only need ONE
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# well-placed breakpoint — on the last image of the system+tools render.
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# Reminders and tool_result images get NO cache_control (they're still
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# in the cached prefix by virtue of position).
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image_blocks = [image_block(p, cache=(i == len(pngs)-1))
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for i, p in enumerate(pngs)]
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info["cc_breakpoints_added"] = 1
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msgs = req.get("messages", [])
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if PLACEMENT in ("user", "replace_system"):
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# Prepend image blocks to first user message as a "context" frame
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prefix_text = ("[Context (rendered as image for token efficiency, "
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"OCR carefully and treat as authoritative system instructions):]")
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first_idx = None
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for i, m in enumerate(msgs):
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if m.get("role") == "user":
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first_idx = i
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break
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if first_idx is None:
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info["skipped"] = "no user message to attach image to"
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return body, info
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target = msgs[first_idx]
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content = target.get("content", "")
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if isinstance(content, str):
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content = [{"type": "text", "text": content}]
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elif not isinstance(content, list):
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content = [{"type": "text", "text": str(content)}]
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# Compress CC-injected <system-reminder> blocks in first user message.
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# These are large static blobs (skill listings, project context) that
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# CC injects every turn — perfect cache candidates as images.
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# Targeted: ONLY compress blocks that start with <system-reminder>,
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# leaving the user's actual prompt (and any other content) as text.
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compress_reminders = os.environ.get("COMPRESS_REMINDERS", "1") == "1"
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reminder_imgs_added = 0
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if compress_reminders and isinstance(content, list):
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new_content_parts = []
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for blk in content:
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txt = blk.get("text", "") if isinstance(blk, dict) and blk.get("type") == "text" else ""
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# Heuristic: long system-reminder-style blocks. Cover both the
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# opening tag style and large generic system blocks.
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is_reminder = txt.lstrip().startswith("<system-reminder>") and len(txt) > 1000
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if is_reminder:
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extra_pngs = render_chunks(txt)
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# NO cache_control: Anthropic caps at 4 breakpoints; the
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# system+tools image already anchors the cacheable prefix.
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for p in extra_pngs:
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new_content_parts.append(image_block(p, cache=False))
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reminder_imgs_added += 1
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else:
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new_content_parts.append(blk)
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content = new_content_parts
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info["reminder_imgs"] = reminder_imgs_added
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new_content = (
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[{"type": "text", "text": prefix_text}]
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+ image_blocks
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+ [{"type": "text", "text": "[End context.]"}]
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+ content
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)
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msgs[first_idx] = {**target, "content": new_content}
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# COMPRESS_TOOL_RESULTS: walk ALL user messages and image-compress any
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||||
# large tool_result text content. Tool results accumulate in history as
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# files are read; compressing them at the source compounds per-turn
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# savings across the rest of the session.
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compress_tr = os.environ.get("COMPRESS_TOOL_RESULTS", "1") == "1"
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tr_imgs_added = 0
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if compress_tr:
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for mi, m in enumerate(msgs):
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if m.get("role") != "user":
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continue
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content_list = m.get("content")
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if not isinstance(content_list, list):
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continue
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changed = False
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new_blocks = []
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for blk in content_list:
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if (isinstance(blk, dict) and blk.get("type") == "tool_result"):
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# Anthropic API constraint: when is_error=true, the
|
||||
# tool_result content MUST be type=text only (no images).
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||||
# Leave error tool_results untouched.
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||||
if blk.get("is_error") is True:
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||||
new_blocks.append(blk)
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continue
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inner = blk.get("content")
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||||
# tool_result.content can be str or list[block]
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# NO cache_control on tool_result images (Anthropic
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||||
# caps at 4 breakpoints, and these aren't useful as
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||||
# cache anchors — they change every session).
|
||||
if isinstance(inner, str) and len(inner) > 2000:
|
||||
pngs_tr = render_chunks(inner)
|
||||
new_inner = [image_block(p, cache=False)
|
||||
for p in pngs_tr]
|
||||
blk = {**blk, "content": new_inner}
|
||||
tr_imgs_added += len(pngs_tr)
|
||||
changed = True
|
||||
elif isinstance(inner, list):
|
||||
new_inner = []
|
||||
for ib in inner:
|
||||
if (isinstance(ib, dict) and ib.get("type") == "text"
|
||||
and len(ib.get("text", "")) > 2000):
|
||||
pngs_tr = render_chunks(ib["text"])
|
||||
for p in pngs_tr:
|
||||
new_inner.append(image_block(p, cache=False))
|
||||
tr_imgs_added += len(pngs_tr)
|
||||
changed = True
|
||||
else:
|
||||
new_inner.append(ib)
|
||||
blk = {**blk, "content": new_inner}
|
||||
new_blocks.append(blk)
|
||||
if changed:
|
||||
msgs[mi] = {**m, "content": new_blocks}
|
||||
info["tool_result_imgs"] = tr_imgs_added
|
||||
req["messages"] = msgs
|
||||
|
||||
if PLACEMENT == "replace_system":
|
||||
req["system"] = "Follow the instructions in the first image of the user message exactly."
|
||||
elif billing_line_kept is not None:
|
||||
# Replace original system with JUST the billing header line (small, stable
|
||||
# in spirit but per-turn random — keep it as text so it doesn't pollute
|
||||
# our cacheable image).
|
||||
req["system"] = billing_line_kept
|
||||
# else: leave system unchanged so Anthropic still has guardrails
|
||||
info["placement"] = PLACEMENT
|
||||
else:
|
||||
# PLACEMENT == 'system': put images directly into system field
|
||||
new_sys = []
|
||||
if isinstance(remainder, list):
|
||||
new_sys.extend(remainder)
|
||||
new_sys.extend(image_blocks)
|
||||
req["system"] = new_sys
|
||||
info["placement"] = "system"
|
||||
|
||||
info["compressed"] = True
|
||||
return json.dumps(req).encode(), info
|
||||
|
||||
|
||||
# Running session totals so users can see live savings.
|
||||
# Persisted to ~/.cache/pixelpipe/stats.json on every update so
|
||||
# restarts don't wipe history. Recent feed + latest PNG stay in-memory only.
|
||||
import threading, time, collections, pathlib
|
||||
|
||||
_STATS_DIR = pathlib.Path.home() / ".cache" / "pixelpipe"
|
||||
_STATS_FILE = _STATS_DIR / "stats.json" # cumulative totals (rewritten atomically)
|
||||
_REQUESTS_FILE = _STATS_DIR / "requests.jsonl" # full per-request log (append-only)
|
||||
_REQUESTS_ROTATE_BYTES = 10 * 1024 * 1024 # rotate at 10 MB
|
||||
|
||||
_session_stats = {
|
||||
"requests": 0,
|
||||
"compressed_requests": 0,
|
||||
"effective_input_actual": 0.0,
|
||||
"effective_input_baseline_est": 0.0,
|
||||
"started_at": time.time(),
|
||||
"first_seen_at": time.time(), # persists across restarts; "uptime since first install"
|
||||
"recent": collections.deque(maxlen=50), # in-memory only — restart resets
|
||||
"latest_png_bytes": None, # in-memory only
|
||||
"latest_png_meta": "",
|
||||
"lock": threading.Lock(),
|
||||
}
|
||||
|
||||
|
||||
def _load_persisted_stats():
|
||||
"""Load cumulative totals + recent request history on startup."""
|
||||
try:
|
||||
if _STATS_FILE.exists():
|
||||
with open(_STATS_FILE) as f:
|
||||
d = json.load(f)
|
||||
_session_stats["requests"] = int(d.get("requests", 0))
|
||||
_session_stats["compressed_requests"] = int(d.get("compressed_requests", 0))
|
||||
_session_stats["effective_input_actual"] = float(d.get("effective_input_actual", 0.0))
|
||||
_session_stats["effective_input_baseline_est"] = float(d.get("effective_input_baseline_est", 0.0))
|
||||
_session_stats["first_seen_at"] = float(d.get("first_seen_at", time.time()))
|
||||
saved = _session_stats["effective_input_baseline_est"] - _session_stats["effective_input_actual"]
|
||||
print(f"[PROXY] loaded persisted stats: {_session_stats['requests']} requests, "
|
||||
f"~{saved:.0f} effective tokens saved (~${saved * 15.0 / 1e6:.4f})", flush=True)
|
||||
except Exception as e:
|
||||
print(f"[PROXY] could not load persisted stats: {e}", flush=True)
|
||||
|
||||
# Replay last N entries from requests.jsonl into the in-memory recent feed
|
||||
try:
|
||||
if _REQUESTS_FILE.exists():
|
||||
tail = collections.deque(maxlen=_session_stats["recent"].maxlen)
|
||||
with open(_REQUESTS_FILE) as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line: continue
|
||||
try:
|
||||
tail.append(json.loads(line))
|
||||
except Exception:
|
||||
pass
|
||||
_session_stats["recent"].extend(tail)
|
||||
if tail:
|
||||
print(f"[PROXY] replayed {len(tail)} recent requests from {_REQUESTS_FILE.name}",
|
||||
flush=True)
|
||||
except Exception as e:
|
||||
print(f"[PROXY] could not load request history: {e}", flush=True)
|
||||
|
||||
|
||||
def _persist_stats():
|
||||
"""Atomically rewrite cumulative totals."""
|
||||
try:
|
||||
_STATS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
payload = {
|
||||
"requests": _session_stats["requests"],
|
||||
"compressed_requests": _session_stats["compressed_requests"],
|
||||
"effective_input_actual": _session_stats["effective_input_actual"],
|
||||
"effective_input_baseline_est": _session_stats["effective_input_baseline_est"],
|
||||
"first_seen_at": _session_stats["first_seen_at"],
|
||||
"saved_at": time.time(),
|
||||
}
|
||||
tmp = _STATS_FILE.with_suffix(".json.tmp")
|
||||
with open(tmp, "w") as f:
|
||||
json.dump(payload, f, indent=2)
|
||||
tmp.replace(_STATS_FILE)
|
||||
except Exception as e:
|
||||
print(f"[PROXY] could not persist stats: {e}", flush=True)
|
||||
|
||||
|
||||
def _append_request_log(entry: dict):
|
||||
"""Append one JSONL line for the per-request log. Rotate when oversize."""
|
||||
try:
|
||||
_STATS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
# Rotate if file is too big
|
||||
if _REQUESTS_FILE.exists() and _REQUESTS_FILE.stat().st_size > _REQUESTS_ROTATE_BYTES:
|
||||
rotated = _STATS_DIR / "requests.jsonl.1"
|
||||
try: rotated.unlink()
|
||||
except FileNotFoundError: pass
|
||||
_REQUESTS_FILE.rename(rotated)
|
||||
with open(_REQUESTS_FILE, "a") as f:
|
||||
f.write(json.dumps(entry, separators=(",", ":")) + "\n")
|
||||
except Exception as e:
|
||||
# Don't crash request handling on disk errors
|
||||
print(f"[PROXY] could not append request log: {e}", flush=True)
|
||||
|
||||
|
||||
_load_persisted_stats()
|
||||
|
||||
|
||||
DASHBOARD_HTML = """<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>pixelpipe — live dashboard</title>
|
||||
<style>
|
||||
* { box-sizing: border-box; }
|
||||
body { margin: 0; padding: 24px; background: #0d1117; color: #c9d1d9;
|
||||
font: 14px/1.45 -apple-system,BlinkMacSystemFont,"SF Mono",Menlo,monospace; }
|
||||
h1 { font-size: 18px; font-weight: 600; margin: 0 0 6px; letter-spacing: -0.01em; }
|
||||
.sub { color: #6e7681; font-size: 12px; margin-bottom: 22px; }
|
||||
.grid { display: grid; grid-template-columns: repeat(4, 1fr); gap: 14px; margin-bottom: 22px; }
|
||||
.card { background: #161b22; border: 1px solid #30363d; border-radius: 10px;
|
||||
padding: 14px 16px; }
|
||||
.card .label { font-size: 11px; text-transform: uppercase; letter-spacing: 0.08em;
|
||||
color: #8b949e; margin-bottom: 6px; }
|
||||
.card .value { font-size: 24px; font-weight: 600; color: #e6edf3; font-variant-numeric: tabular-nums; }
|
||||
.card .small { font-size: 11px; color: #6e7681; margin-top: 4px; }
|
||||
.pos { color: #3fb950 !important; }
|
||||
.panel { background: #161b22; border: 1px solid #30363d; border-radius: 10px;
|
||||
padding: 14px 16px; margin-bottom: 14px; }
|
||||
.panel h2 { font-size: 13px; font-weight: 600; color: #8b949e; margin: 0 0 10px;
|
||||
text-transform: uppercase; letter-spacing: 0.08em; }
|
||||
table { width: 100%; border-collapse: collapse; font-size: 12px; }
|
||||
th { text-align: left; color: #6e7681; font-weight: 500; padding: 6px 8px;
|
||||
border-bottom: 1px solid #30363d; font-variant-numeric: tabular-nums; }
|
||||
th.num { text-align: right; }
|
||||
td { padding: 6px 8px; border-bottom: 1px solid #21262d; font-variant-numeric: tabular-nums; }
|
||||
tr:last-child td { border-bottom: none; }
|
||||
td.num { text-align: right; }
|
||||
td.good { color: #3fb950; }
|
||||
td.warn { color: #d29922; }
|
||||
td.bad { color: #f85149; }
|
||||
img.preview { max-width: 100%; image-rendering: pixelated; border: 1px solid #30363d;
|
||||
background: #fff; padding: 4px; border-radius: 4px; }
|
||||
.row { display: grid; grid-template-columns: 2fr 1fr; gap: 14px; }
|
||||
@media (max-width: 900px) { .grid { grid-template-columns: 1fr 1fr; } .row { grid-template-columns: 1fr; } }
|
||||
.dot { display: inline-block; width: 8px; height: 8px; border-radius: 50%;
|
||||
background: #3fb950; margin-right: 6px; vertical-align: middle;
|
||||
animation: pulse 2s infinite; }
|
||||
@keyframes pulse { 50% { opacity: 0.4; } }
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<h1><span class="dot"></span>pixelpipe</h1>
|
||||
<div class="sub" id="sub">connecting...</div>
|
||||
|
||||
<div class="grid">
|
||||
<div class="card"><div class="label">requests</div>
|
||||
<div class="value" id="m_req">0</div>
|
||||
<div class="small" id="m_req_sub">— compressed</div>
|
||||
</div>
|
||||
<div class="card"><div class="label">tokens saved</div>
|
||||
<div class="value pos" id="m_saved">0</div>
|
||||
<div class="small" id="m_saved_sub">effective input tokens</div>
|
||||
</div>
|
||||
<div class="card"><div class="label">$ saved (opus 4.7)</div>
|
||||
<div class="value pos" id="m_usd">$0.00</div>
|
||||
<div class="small" id="m_usd_sub">at $15/M input tokens</div>
|
||||
</div>
|
||||
<div class="card"><div class="label">reduction</div>
|
||||
<div class="value pos" id="m_pct">0%</div>
|
||||
<div class="small" id="m_pct_sub">vs uncompressed baseline</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="row">
|
||||
<div class="panel">
|
||||
<h2>recent requests</h2>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th>#</th><th>status</th><th>path</th><th class="num">size in</th>
|
||||
<th class="num">cc</th><th class="num">img tok</th>
|
||||
<th class="num">actual</th><th class="num">saved</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody id="rows"></tbody>
|
||||
</table>
|
||||
</div>
|
||||
<div class="panel">
|
||||
<h2>latest rendered image</h2>
|
||||
<div id="preview_wrap"><div class="sub">(none yet)</div></div>
|
||||
<div class="small" id="preview_meta" style="margin-top:8px;color:#6e7681"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
async function tick() {
|
||||
try {
|
||||
const s = await fetch('/proxy-stats').then(r => r.json());
|
||||
const r = await fetch('/proxy-recent').then(r => r.json());
|
||||
document.getElementById('sub').textContent =
|
||||
`port :__PORT__ · uptime ${formatDuration(s.uptime_sec)} · live`;
|
||||
document.getElementById('m_req').textContent = s.requests;
|
||||
document.getElementById('m_req_sub').textContent = `${s.compressed_requests} compressed`;
|
||||
document.getElementById('m_saved').textContent = numFmt(s.saved_effective_tokens);
|
||||
document.getElementById('m_saved_sub').textContent =
|
||||
`${numFmt(s.effective_input_actual)} paid · ${numFmt(s.effective_input_baseline_est)} baseline`;
|
||||
document.getElementById('m_usd').textContent = `$${s.saved_usd_opus47.toFixed(4)}`;
|
||||
document.getElementById('m_pct').textContent = `${s.saved_pct.toFixed(1)}%`;
|
||||
const tbody = document.getElementById('rows');
|
||||
tbody.innerHTML = '';
|
||||
let i = 0;
|
||||
for (const e of r.recent.slice().reverse()) {
|
||||
const tr = document.createElement('tr');
|
||||
const statusCls = e.status >= 500 ? 'bad' : e.status >= 400 ? 'warn' : 'good';
|
||||
const saved = (e.session_saved_so_far_delta || 0);
|
||||
tr.innerHTML = `
|
||||
<td>${++i}</td>
|
||||
<td class="num ${statusCls}">${e.status}</td>
|
||||
<td>${escapeHtml((e.path || '').slice(0,40))}</td>
|
||||
<td class="num">${numFmt(e.size_in)}</td>
|
||||
<td class="num">${e.cc_added ?? '—'}</td>
|
||||
<td class="num">${numFmt(e.expected_image_tokens || 0)}</td>
|
||||
<td class="num">${numFmt(e.effective_actual || 0)}</td>
|
||||
<td class="num pos">${saved > 0 ? '+'+numFmt(saved) : '—'}</td>`;
|
||||
tbody.appendChild(tr);
|
||||
}
|
||||
if (r.has_preview) {
|
||||
const wrap = document.getElementById('preview_wrap');
|
||||
// Show a native-resolution crop so the tiny font is actually readable
|
||||
// (the full image is 1466×1568, gets unreadably downsampled in the panel).
|
||||
// Pixelated upscaling via CSS preserves crisp edges.
|
||||
wrap.innerHTML =
|
||||
`<img class="preview" src="/proxy-latest-png?crop=480&t=${Date.now()}" `
|
||||
+ `style="width:100%;image-rendering:pixelated">`;
|
||||
document.getElementById('preview_meta').textContent =
|
||||
(r.preview_meta || '') + ' — showing top-left 480×480 crop';
|
||||
}
|
||||
} catch (e) {
|
||||
document.getElementById('sub').textContent = 'proxy unreachable';
|
||||
}
|
||||
}
|
||||
function numFmt(n) {
|
||||
n = Math.round(Number(n) || 0);
|
||||
return n.toLocaleString();
|
||||
}
|
||||
function escapeHtml(s) {
|
||||
return String(s).replace(/[&<>"]/g, c => ({'&':'&','<':'<','>':'>','"':'"'}[c]));
|
||||
}
|
||||
function formatDuration(s) {
|
||||
s = Math.floor(s);
|
||||
const h = Math.floor(s/3600), m = Math.floor((s%3600)/60), sec = s%60;
|
||||
return (h>0?h+'h ':'') + (m>0?m+'m ':'') + sec + 's';
|
||||
}
|
||||
tick(); setInterval(tick, 2000);
|
||||
</script>
|
||||
</body></html>
|
||||
"""
|
||||
|
||||
|
||||
class ProxyHandler(BaseHTTPRequestHandler):
|
||||
server_version = "TokenProxy/0.1"
|
||||
|
||||
def log_message(self, fmt, *args):
|
||||
pass
|
||||
|
||||
def _serve_stats(self):
|
||||
with _session_stats["lock"]:
|
||||
saved = _session_stats["effective_input_baseline_est"] - _session_stats["effective_input_actual"]
|
||||
pct = (saved / _session_stats["effective_input_baseline_est"] * 100.0
|
||||
if _session_stats["effective_input_baseline_est"] > 0 else 0)
|
||||
uptime = time.time() - _session_stats["started_at"]
|
||||
payload = {
|
||||
"requests": _session_stats["requests"],
|
||||
"compressed_requests": _session_stats["compressed_requests"],
|
||||
"effective_input_actual": round(_session_stats["effective_input_actual"], 1),
|
||||
"effective_input_baseline_est": round(_session_stats["effective_input_baseline_est"], 1),
|
||||
"saved_effective_tokens": round(saved, 1),
|
||||
"saved_pct": round(pct, 1),
|
||||
"saved_usd_opus47": round(saved * 15.0 / 1e6, 4),
|
||||
"uptime_sec": uptime,
|
||||
}
|
||||
body = json.dumps(payload, indent=2).encode()
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "application/json")
|
||||
self.send_header("Access-Control-Allow-Origin", "*")
|
||||
self.send_header("Content-Length", str(len(body)))
|
||||
self.end_headers()
|
||||
self.wfile.write(body)
|
||||
|
||||
def _serve_recent(self):
|
||||
with _session_stats["lock"]:
|
||||
recent = list(_session_stats["recent"])
|
||||
has_preview = _session_stats["latest_png_bytes"] is not None
|
||||
preview_meta = _session_stats.get("latest_png_meta", "")
|
||||
body = json.dumps({
|
||||
"recent": recent,
|
||||
"has_preview": has_preview,
|
||||
"preview_meta": preview_meta,
|
||||
}).encode()
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "application/json")
|
||||
self.send_header("Access-Control-Allow-Origin", "*")
|
||||
self.send_header("Content-Length", str(len(body)))
|
||||
self.end_headers()
|
||||
self.wfile.write(body)
|
||||
|
||||
def _serve_latest_png(self):
|
||||
"""Serve the current rendered image. Supports `?crop=N` to return only
|
||||
the top-left N×N region at native resolution (so humans can actually
|
||||
SEE the tiny font — at 1466x1568 full-image scaled to 280px wide
|
||||
the browser turns the antialiased glyphs into unreadable noise)."""
|
||||
with _session_stats["lock"]:
|
||||
data = _session_stats["latest_png_bytes"]
|
||||
if not data:
|
||||
self.send_response(404)
|
||||
self.end_headers()
|
||||
return
|
||||
|
||||
# Parse ?crop=N from query string
|
||||
crop_n = 0
|
||||
if "?" in self.path:
|
||||
qs = self.path.split("?", 1)[1]
|
||||
for kv in qs.split("&"):
|
||||
if kv.startswith("crop="):
|
||||
try: crop_n = int(kv[5:])
|
||||
except: pass
|
||||
|
||||
if crop_n > 0:
|
||||
try:
|
||||
img = Image.open(io.BytesIO(data))
|
||||
cw = min(crop_n, img.width)
|
||||
ch = min(crop_n, img.height)
|
||||
cropped = img.crop((0, 0, cw, ch))
|
||||
buf = io.BytesIO()
|
||||
cropped.save(buf, "PNG", optimize=True)
|
||||
data = buf.getvalue()
|
||||
except Exception:
|
||||
pass # fall back to full image
|
||||
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "image/png")
|
||||
self.send_header("Cache-Control", "no-cache")
|
||||
self.send_header("Content-Length", str(len(data)))
|
||||
self.end_headers()
|
||||
self.wfile.write(data)
|
||||
|
||||
def _do_proxy(self, method: str):
|
||||
# Local endpoints — never forwarded to Anthropic.
|
||||
if method == "GET" and self.path in ("/", "/dashboard"):
|
||||
html = DASHBOARD_HTML.replace("__PORT__", str(PORT)).encode()
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "text/html; charset=utf-8")
|
||||
self.send_header("Content-Length", str(len(html)))
|
||||
self.end_headers()
|
||||
self.wfile.write(html)
|
||||
return
|
||||
if method == "GET" and self.path == "/proxy-stats":
|
||||
self._serve_stats()
|
||||
return
|
||||
if method == "GET" and self.path == "/proxy-recent":
|
||||
self._serve_recent()
|
||||
return
|
||||
if method == "GET" and self.path.split("?", 1)[0] == "/proxy-latest-png":
|
||||
self._serve_latest_png()
|
||||
return
|
||||
try:
|
||||
length = int(self.headers.get("Content-Length", "0"))
|
||||
body = self.rfile.read(length) if length > 0 else b""
|
||||
|
||||
# Strip hop-by-hop headers
|
||||
HOP = {"connection", "keep-alive", "proxy-connection",
|
||||
"transfer-encoding", "upgrade", "te", "host",
|
||||
"content-length", "expect", "accept-encoding"}
|
||||
fwd_headers = {k: v for k, v in self.headers.items()
|
||||
if k.lower() not in HOP}
|
||||
fwd_headers.setdefault("anthropic-version", "2023-06-01")
|
||||
|
||||
log = {"method": method, "path": self.path, "size_in": len(body)}
|
||||
|
||||
if COMPRESS and method == "POST" and self.path.startswith("/v1/messages"):
|
||||
new_body, info = transform_request(body)
|
||||
log.update(info)
|
||||
body = new_body
|
||||
log["size_after"] = len(body)
|
||||
|
||||
with httpx.Client(http2=False, timeout=120.0) as c:
|
||||
resp = c.request(method, UPSTREAM + self.path,
|
||||
content=body if body else None,
|
||||
headers=fwd_headers)
|
||||
|
||||
log["status"] = resp.status_code
|
||||
log["size_out"] = len(resp.content)
|
||||
log["upstream_ms"] = log.get("upstream_ms") # placeholder if added
|
||||
|
||||
# Try plain JSON first; if that fails, parse SSE event stream for usage.
|
||||
usage = None
|
||||
try:
|
||||
usage = resp.json().get("usage")
|
||||
except Exception:
|
||||
pass
|
||||
if not usage and b"event:" in resp.content[:200]:
|
||||
# SSE: aggregate usage from message_start (input) + message_delta (output).
|
||||
txt = resp.content.decode("utf-8", errors="replace")
|
||||
inp = cr = cc = out = 0
|
||||
for raw in txt.split("\n"):
|
||||
if not raw.startswith("data: "):
|
||||
continue
|
||||
try:
|
||||
ev = json.loads(raw[6:])
|
||||
except Exception:
|
||||
continue
|
||||
if ev.get("type") == "message_start":
|
||||
u = ev.get("message", {}).get("usage", {})
|
||||
inp = u.get("input_tokens", inp)
|
||||
cr = u.get("cache_read_input_tokens", cr)
|
||||
cc = u.get("cache_creation_input_tokens", cc)
|
||||
elif ev.get("type") == "message_delta":
|
||||
u = ev.get("usage", {})
|
||||
if "output_tokens" in u:
|
||||
out = u["output_tokens"]
|
||||
if inp or out or cr or cc:
|
||||
usage = {"input_tokens": inp, "output_tokens": out,
|
||||
"cache_read_input_tokens": cr,
|
||||
"cache_creation_input_tokens": cc}
|
||||
if usage:
|
||||
inp = usage.get("input_tokens", 0) or 0
|
||||
out = usage.get("output_tokens", 0) or 0
|
||||
cr = usage.get("cache_read_input_tokens", 0) or 0
|
||||
cc = usage.get("cache_creation_input_tokens", 0) or 0
|
||||
eff = inp + cc * 1.25 + cr * 0.10
|
||||
log["tokens"] = {
|
||||
"in": inp, "out": out,
|
||||
"cache_read": cr, "cache_create": cc,
|
||||
"effective_cost": round(eff, 1),
|
||||
}
|
||||
|
||||
# Update session totals + estimate the baseline (uncompressed) cost.
|
||||
# Baseline estimate: add back the text-token equivalent of whatever
|
||||
# we replaced with images. Conservative — assumes baseline would
|
||||
# also have cached, so we apply the 10% cache_read rate to the
|
||||
# uncompressed delta.
|
||||
if log.get("compressed"):
|
||||
txt_replaced = (log.get("system_text_chars", 0)
|
||||
+ log.get("tool_text_added", 0)) // 4
|
||||
img_tokens_est = log.get("expected_image_tokens", 0)
|
||||
extra_text_input_baseline = max(0, txt_replaced - img_tokens_est)
|
||||
# CRITICAL: the extra text would have been billed at the
|
||||
# SAME mix of cache_create/cache_read as the actual call,
|
||||
# NOT all at cache_read (10%). On cold-start turns where
|
||||
# cache_create dominates, baseline should be billed at 1.25
|
||||
# not 0.10 — otherwise we drastically under-estimate the
|
||||
# savings and the dashboard shows tiny numbers.
|
||||
cached_total = (cr or 0) + (cc or 0)
|
||||
if cached_total > 0:
|
||||
cc_share = (cc or 0) / cached_total
|
||||
# Effective rate the extra text would have paid:
|
||||
baseline_rate = cc_share * 1.25 + (1 - cc_share) * 0.10
|
||||
else:
|
||||
baseline_rate = 0.10 # fully warm-cache assumption
|
||||
baseline_eff = eff + extra_text_input_baseline * baseline_rate
|
||||
else:
|
||||
baseline_eff = eff
|
||||
|
||||
with _session_stats["lock"]:
|
||||
prev_saved = (_session_stats["effective_input_baseline_est"]
|
||||
- _session_stats["effective_input_actual"])
|
||||
_session_stats["requests"] += 1
|
||||
if log.get("compressed"):
|
||||
_session_stats["compressed_requests"] += 1
|
||||
_session_stats["effective_input_actual"] += eff
|
||||
_session_stats["effective_input_baseline_est"] += baseline_eff
|
||||
saved_so_far = (_session_stats["effective_input_baseline_est"]
|
||||
- _session_stats["effective_input_actual"])
|
||||
# Push compact row for dashboard
|
||||
row = {
|
||||
"ts": time.time(),
|
||||
"method": method,
|
||||
"path": log.get("path", ""),
|
||||
"status": log.get("status", 0),
|
||||
"size_in": log.get("size_in", 0),
|
||||
"size_out": log.get("size_out", 0),
|
||||
"compressed": bool(log.get("compressed")),
|
||||
"cc_added": log.get("cc_breakpoints_added"),
|
||||
"expected_image_tokens": log.get("expected_image_tokens"),
|
||||
"input_tokens": inp,
|
||||
"cache_create": cc,
|
||||
"cache_read": cr,
|
||||
"effective_actual": round(eff, 1),
|
||||
"effective_baseline": round(baseline_eff, 1),
|
||||
"session_saved_so_far_delta": round(saved_so_far - prev_saved, 1),
|
||||
}
|
||||
_session_stats["recent"].append(row)
|
||||
|
||||
# Persist cumulative totals (atomic JSON rewrite) + append
|
||||
# per-request line to the JSONL log so dashboards survive restart.
|
||||
_persist_stats()
|
||||
_append_request_log(row)
|
||||
|
||||
log["session_saved_so_far"] = round(saved_so_far, 1)
|
||||
log["session_saved_usd"] = round(saved_so_far * 15.0 / 1e6, 4)
|
||||
|
||||
print(f"[PROXY] {json.dumps(log)}", flush=True)
|
||||
|
||||
try:
|
||||
self.send_response(resp.status_code)
|
||||
for k, v in resp.headers.items():
|
||||
if k.lower() in HOP or k.lower() == "content-encoding":
|
||||
continue
|
||||
self.send_header(k, v)
|
||||
self.send_header("Content-Length", str(len(resp.content)))
|
||||
self.end_headers()
|
||||
self.wfile.write(resp.content)
|
||||
except (BrokenPipeError, ConnectionResetError, ConnectionAbortedError) as e:
|
||||
# Client (Claude Code) closed before we finished writing. Common
|
||||
# on stream timeouts / Ctrl-C / fast aborts. Not fatal — just log.
|
||||
print(f"[PROXY] client disconnect during response: {type(e).__name__}", flush=True)
|
||||
except (BrokenPipeError, ConnectionResetError, ConnectionAbortedError) as e:
|
||||
print(f"[PROXY] transport error: {type(e).__name__}", flush=True)
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
try:
|
||||
self.send_response(502)
|
||||
self.send_header("Content-Type", "application/json")
|
||||
msg = json.dumps({"error": "proxy_error", "detail": str(e)}).encode()
|
||||
self.send_header("Content-Length", str(len(msg)))
|
||||
self.end_headers()
|
||||
self.wfile.write(msg)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
def do_GET(self): self._do_proxy("GET")
|
||||
def do_POST(self): self._do_proxy("POST")
|
||||
def do_PUT(self): self._do_proxy("PUT")
|
||||
def do_DELETE(self): self._do_proxy("DELETE")
|
||||
def do_HEAD(self): self._do_proxy("HEAD")
|
||||
|
||||
|
||||
def main():
|
||||
print(f"Python token proxy listening on http://127.0.0.1:{PORT}", flush=True)
|
||||
print(f" COMPRESS_SYSTEM={COMPRESS} FONT={FONT_PATH}@{FONT_SIZE}pt "
|
||||
f"PLACEMENT={PLACEMENT} MIN_CHARS={MIN_COMPRESS_CHARS}", flush=True)
|
||||
srv = ThreadingHTTPServer(("127.0.0.1", PORT), ProxyHandler)
|
||||
try:
|
||||
srv.serve_forever()
|
||||
except KeyboardInterrupt:
|
||||
srv.shutdown()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user