Files
llm-wiki-agent/tools/ingest.py
Anil Matcha d12089aaaf Add LLM Wiki Agent — persistent LLM-maintained knowledge base
Replaces dual-agent demo with a full personal knowledge base system
where Claude reads source documents and incrementally builds and
maintains a structured, interlinked wiki of markdown pages.

- tools/ingest.py: reads a source, extracts knowledge, updates wiki pages
- tools/query.py: queries the wiki with Claude, optionally files answers back
- tools/lint.py: health-checks the wiki (orphans, contradictions, gaps)
- tools/build_graph.py: two-pass graph builder (wikilinks + Claude inference)
  with Louvain community detection and vis.js interactive HTML output
- CLAUDE.md: schema and workflow instructions for the LLM
- wiki/: starter index, log, and overview pages
- raw/, graph/: directory scaffolding

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-07 07:04:22 +05:30

196 lines
6.2 KiB
Python

#!/usr/bin/env python3
"""
Ingest a source document into the LLM Wiki.
Usage:
python tools/ingest.py <path-to-source>
python tools/ingest.py raw/articles/my-article.md
The LLM reads the source, extracts knowledge, and updates the wiki:
- Creates wiki/sources/<slug>.md
- Updates wiki/index.md
- Updates wiki/overview.md (if warranted)
- Creates/updates entity and concept pages
- Appends to wiki/log.md
- Flags contradictions
"""
import os
import sys
import json
import hashlib
import re
from pathlib import Path
from datetime import date
import anthropic
REPO_ROOT = Path(__file__).parent.parent
WIKI_DIR = REPO_ROOT / "wiki"
LOG_FILE = WIKI_DIR / "log.md"
INDEX_FILE = WIKI_DIR / "index.md"
OVERVIEW_FILE = WIKI_DIR / "overview.md"
SCHEMA_FILE = REPO_ROOT / "CLAUDE.md"
def sha256(text: str) -> str:
return hashlib.sha256(text.encode()).hexdigest()[:16]
def read_file(path: Path) -> str:
return path.read_text(encoding="utf-8") if path.exists() else ""
def write_file(path: Path, content: str):
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(content, encoding="utf-8")
print(f" wrote: {path.relative_to(REPO_ROOT)}")
def build_wiki_context() -> str:
parts = []
if INDEX_FILE.exists():
parts.append(f"## wiki/index.md\n{read_file(INDEX_FILE)}")
if OVERVIEW_FILE.exists():
parts.append(f"## wiki/overview.md\n{read_file(OVERVIEW_FILE)}")
# Include a few recent source pages for contradiction checking
sources_dir = WIKI_DIR / "sources"
if sources_dir.exists():
recent = sorted(sources_dir.glob("*.md"), key=lambda p: p.stat().st_mtime, reverse=True)[:5]
for p in recent:
parts.append(f"## {p.relative_to(REPO_ROOT)}\n{p.read_text()}")
return "\n\n---\n\n".join(parts)
def parse_json_from_response(text: str) -> dict:
# Strip markdown code fences if present
text = re.sub(r"^```(?:json)?\s*", "", text.strip())
text = re.sub(r"\s*```$", "", text.strip())
# Find the outermost JSON object
match = re.search(r"\{[\s\S]*\}", text)
if not match:
raise ValueError("No JSON object found in response")
return json.loads(match.group())
def update_index(new_entry: str, section: str = "Sources"):
content = read_file(INDEX_FILE)
if not content:
content = "# Wiki Index\n\n## Overview\n- [Overview](overview.md) — living synthesis\n\n## Sources\n\n## Entities\n\n## Concepts\n\n## Syntheses\n"
section_header = f"## {section}"
if section_header in content:
content = content.replace(section_header + "\n", section_header + "\n" + new_entry + "\n")
else:
content += f"\n{section_header}\n{new_entry}\n"
write_file(INDEX_FILE, content)
def append_log(entry: str):
existing = read_file(LOG_FILE)
write_file(LOG_FILE, entry.strip() + "\n\n" + existing)
def ingest(source_path: str):
source = Path(source_path)
if not source.exists():
print(f"Error: file not found: {source_path}")
sys.exit(1)
source_content = source.read_text(encoding="utf-8")
source_hash = sha256(source_content)
today = date.today().isoformat()
print(f"\nIngesting: {source.name} (hash: {source_hash})")
wiki_context = build_wiki_context()
schema = read_file(SCHEMA_FILE)
client = anthropic.Anthropic()
prompt = f"""You are maintaining an LLM Wiki. Process this source document and integrate its knowledge into the wiki.
Schema and conventions:
{schema}
Current wiki state (index + recent pages):
{wiki_context if wiki_context else "(wiki is empty — this is the first source)"}
New source to ingest (file: {source.relative_to(REPO_ROOT) if source.is_relative_to(REPO_ROOT) else source.name}):
=== SOURCE START ===
{source_content}
=== SOURCE END ===
Today's date: {today}
Return ONLY a valid JSON object with these fields (no markdown fences, no prose outside the JSON):
{{
"title": "Human-readable title for this source",
"slug": "kebab-case-slug-for-filename",
"source_page": "full markdown content for wiki/sources/<slug>.md — use the source page format from the schema",
"index_entry": "- [Title](sources/slug.md) — one-line summary",
"overview_update": "full updated content for wiki/overview.md, or null if no update needed",
"entity_pages": [
{{"path": "entities/EntityName.md", "content": "full markdown content"}}
],
"concept_pages": [
{{"path": "concepts/ConceptName.md", "content": "full markdown content"}}
],
"contradictions": ["describe any contradiction with existing wiki content, or empty list"],
"log_entry": "## [{today}] ingest | <title>\\n\\nAdded source. Key claims: ..."
}}
"""
print(" calling Claude API...")
response = client.messages.create(
model="claude-sonnet-4-6",
max_tokens=8192,
messages=[{"role": "user", "content": prompt}],
)
raw = response.content[0].text
try:
data = parse_json_from_response(raw)
except (ValueError, json.JSONDecodeError) as e:
print(f"Error parsing API response: {e}")
print("Raw response saved to /tmp/ingest_debug.txt")
Path("/tmp/ingest_debug.txt").write_text(raw)
sys.exit(1)
# Write source page
slug = data["slug"]
write_file(WIKI_DIR / "sources" / f"{slug}.md", data["source_page"])
# Write entity pages
for page in data.get("entity_pages", []):
write_file(WIKI_DIR / page["path"], page["content"])
# Write concept pages
for page in data.get("concept_pages", []):
write_file(WIKI_DIR / page["path"], page["content"])
# Update overview
if data.get("overview_update"):
write_file(OVERVIEW_FILE, data["overview_update"])
# Update index
update_index(data["index_entry"], section="Sources")
# Append log
append_log(data["log_entry"])
# Report contradictions
contradictions = data.get("contradictions", [])
if contradictions:
print("\n ⚠️ Contradictions detected:")
for c in contradictions:
print(f" - {c}")
print(f"\nDone. Ingested: {data['title']}")
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python tools/ingest.py <path-to-source>")
sys.exit(1)
ingest(sys.argv[1])