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refactor(docs): deep code analysis engine with 5 supporting modules
changes: - file: prompt_engine.py area: core modified: [PromptEngine, _get_source_context] stats: lines: "+11/-10 (net +1)" files: 5 complexity: "Stable complexity" Co-authored-by: Koru Agent <agent@coru.dev>
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CHANGELOG.md

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- Fix Mermaid comment syntax: `.mmd` files use `%%` for comments, not `#`
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- Fix Chromium sandbox crash: pass `--no-sandbox` to puppeteer/mmdc for PNG generation
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## [0.5.162] - 2026-05-25
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### Docs
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- Update README.md
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### Other
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- Update code2llm/analysis/pipeline_detector.py
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- Update code2llm/core/lang/ts_parser.py
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- Update code2llm/exporters/map/yaml_export.py
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- Update code2llm/refactor/prompt_engine.py
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## [0.5.161] - 2026-05-25
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### Docs

README.md

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## AI Cost Tracking
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![PyPI](https://img.shields.io/badge/pypi-costs-blue) ![Version](https://img.shields.io/badge/version-0.5.161-blue) ![Python](https://img.shields.io/badge/python-3.9+-blue) ![License](https://img.shields.io/badge/license-Apache--2.0-green)
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![AI Cost](https://img.shields.io/badge/AI%20Cost-$7.50-orange) ![Human Time](https://img.shields.io/badge/Human%20Time-84.7h-blue) ![Model](https://img.shields.io/badge/Model-openrouter%2Fqwen%2Fqwen3--coder--next-lightgrey)
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![PyPI](https://img.shields.io/badge/pypi-costs-blue) ![Version](https://img.shields.io/badge/version-0.5.162-blue) ![Python](https://img.shields.io/badge/python-3.9+-blue) ![License](https://img.shields.io/badge/license-Apache--2.0-green)
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![AI Cost](https://img.shields.io/badge/AI%20Cost-$7.50-orange) ![Human Time](https://img.shields.io/badge/Human%20Time-85.1h-blue) ![Model](https://img.shields.io/badge/Model-openrouter%2Fqwen%2Fqwen3--coder--next-lightgrey)
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- 🤖 **LLM usage:** $7.5000 (230 commits)
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- 👤 **Human dev:** ~$8470 (84.7h @ $100/h, 30min dedup)
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- 🤖 **LLM usage:** $7.5000 (233 commits)
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- 👤 **Human dev:** ~$8506 (85.1h @ $100/h, 30min dedup)
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Generated on 2026-05-25 using [openrouter/qwen/qwen3-coder-next](https://openrouter.ai/qwen/qwen3-coder-next)
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---
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<!-- generated in 0.00s -->
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This directory contains the complete analysis of your project generated by `code2llm`. Each file serves a specific purpose for understanding, refactoring, and documenting your codebase.

VERSION

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0.5.161
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0.5.162

code2llm/__init__.py

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and entity resolution with multilingual support.
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"""
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__version__ = "0.5.161"
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__version__ = "0.5.162"
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__author__ = "STTS Project"
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# Core analysis components (lightweight, always needed)

code2llm/analysis/pipeline_detector.py

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import logging
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional, Set
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from typing import Any, Dict, List, Optional, Set, Tuple
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import networkx as nx
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code2llm/core/lang/ts_parser.py

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"""Initialize tree-sitter. Returns True if available."""
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global _TS_AVAILABLE
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try:
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import tree_sitter
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import tree_sitter # noqa: F401
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_TS_AVAILABLE = True
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return True

code2llm/exporters/map/yaml_export.py

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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, List
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from typing import TYPE_CHECKING, Any, Dict, List
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if TYPE_CHECKING:
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from code2llm.core.models import ModuleInfo
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import yaml
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code2llm/nlp/__init__.py

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with multilingual support and fuzzy matching.
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"""
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__version__ = "0.5.161"
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__version__ = "0.5.162"
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from .pipeline import NLPPipeline
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from .normalization import QueryNormalizer

code2llm/refactor/prompt_engine.py

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# If tree-sitter is available, use it to accurately find function boundaries
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if self.parser and "method" not in file_path: # simplified check
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tree = self.parser.parse(bytes(content, "utf8"))
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root_node = tree.root_node
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self.parser.parse(bytes(content, "utf8"))
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# Simple function extraction using tree-sitter
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# (Ideally we'd search for the function node at start_line)

pyproject.toml

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[project]
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name = "code2llm"
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version = "0.5.161"
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version = "0.5.162"
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description = "High-performance Python code flow analysis with optimized TOON format - CFG, DFG, call graphs, and intelligent code queries"
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readme = "README.md"
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requires-python = ">=3.8"

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