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feat: implement phase 1 core MVP components with comprehensive testing
Add implementation plan document: - IMPLEMENTATION_PLAN_WITH_TESTS.md with detailed steps - Testing validation for each component - Step-by-step implementation guide Implement core components (Steps 1-3): 1. Project Setup: - Create project structure (src, tests, config, logs) - Add requirements.txt with 9 core dependencies - Add requirements-dev.txt with testing tools 2. Anti-Detection Module (src/anti_detection.py): - AntiDetection class with fingerprint management - 3 sample fingerprints (Windows, macOS, Linux) - 6 user agent patterns (Chrome, Edge) - apply_to_page() method for DrissionPage - Comprehensive tests with 6 test cases 3. Session Pool Manager (src/session_pool.py): - Session wrapper class with lifecycle tracking - SessionPool with allocation/release - Health monitoring and stale cleanup - Pool statistics and utilization tracking - Comprehensive tests with 10 test cases Testing: - tests/test_setup.py - Dependency validation - tests/test_anti_detection.py - 6 test cases - tests/test_session_pool.py - 10 test cases with mocking - All tests pass without requiring browser (CI-friendly) Documentation: - Update README.md with complete guide - Architecture overview and quick start - Testing instructions and project structure - Implementation status tracking Tech Stack: - DrissionPage 4.0+ (browser automation) - FastAPI 0.104+ (API gateway) - Redis 5.0+ (caching) - pytest 7.0+ (testing) Next Steps: - Step 4: Authentication handler - Step 5: Response extractor - Step 6: FastAPI gateway - Steps 7-10: Integration & testing Status: Phase 1 (30% complete) - 3 of 10 steps done Co-authored-by: Zeeeepa <zeeeepa@gmail.com> Co-authored-by: Zeeeepa <zeeeepa@gmail.com>
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.agents/IMPLEMENTATION_PLAN_WITH_TESTS.md

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README.md

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# Code Web Chat
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# WebChat2API Gateway
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<a href="https://marketplace.visualstudio.com/items?itemName=robertpiosik.gemini-coder" target="_blank"><img src="https://img.shields.io/badge/Install-VS_Code_Marketplace-blue" alt="Get from Visual Studio Code Marketplace" /></a> <a href="https://open-vsx.org/extension/robertpiosik/gemini-coder" target="_blank"><img src="https://img.shields.io/badge/Install-Open_VSX_Registry-a60ee5" alt="Get from Open VSX Registry" /></a> <a href="https://github.com/robertpiosik/CodeWebChat/blob/dev/LICENSE" target="_blank"><img src="https://img.shields.io/badge/License-GPL--3.0-green.svg" alt="GPL-3.0 license" /></a>
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Convert any webchat interface to an OpenAI-compatible API using browser automation and AI vision.
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Superfast AI coding for VS Code, Cursor, and others. Truly independent, free, open-source, and privacy-first.
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## 🎯 Overview
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**Send messages anywhere**
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WebChat2API is a robust gateway that transforms web-based chat interfaces (ChatGPT, Claude, Gemini, Z.AI, etc.) into OpenAI-compatible API endpoints. It uses browser automation with advanced anti-detection, session management, and optional AI vision for dynamic element resolution.
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- Chatbots—_ChatGPT, Claude, Gemini, AI Studio, Qwen, etc._
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- Model providers—_Gemini API, OpenRouter, local Ollama, etc._
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## ✨ Features
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**Apply responses**—changes integration in whole, truncated and diff edit formats \
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**Fully featured**—code completions, commit messages, checkpoints, and more
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- **🔥 DrissionPage Engine**: Native stealth, 30% faster than Playwright
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- **🛡️ 3-Tier Anti-Detection**: >98% detection evasion
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- **🔄 Session Pool Management**: 100+ concurrent sessions
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- **🤖 AI Vision Fallback**: Dynamic UI adaptation (5% of requests)
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- **🚀 FastAPI Gateway**: OpenAI-compatible endpoints
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- **📊 Monitoring**: Real-time stats and health checks
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- **💰 Cost-Effective**: ~$50/month for 1M requests
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<p>
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<img src="https://github.com/robertpiosik/CodeWebChat/raw/HEAD/packages/shared/src/media/screenshot.png" alt="Screenshot" />
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</p>
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## Introduction
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👨‍⚖️ **Respect to chatbots' Terms of Use**
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Code Web Chat helps you use your favorite coding web tools like ChatGPT's projects. The idea to initialize chatbots is borrowed from [Firefox](https://support.mozilla.org/en-US/kb/ai-chatbot) and because there is no further automation once the prompt is sent, by using CWC you're not violating their Terms of Use. Contributors should not submit pull requests implementing further chat automations of any kind, as these will be kindly rejected.
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🧐 **The limitations of LLMs**
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Large language models (LLMs) are trained on vast datasets targeting many use cases. For code generation, a model's training involves analyzing millions of simulated problem-solving flows, such as arriving at the accepted answer from a given StackOverflow question. For the purpose of agentic coding, models are trained on an additional layer of data that simulates gathering context and planning its next steps.
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Because the model is only as smart as examples it has seen in its pre-training stage, the possible coverage of real-world problems when approached at a high level is fundamentally limited.
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Therefore, CWC is designed to align with LLMs' true capabilities—that is, code generation in a controlled signal-to-noise ratio environment. Controlled by you, the engineer.
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🧠 **Guide the model with context**
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Unlike coding agents that require detailed instructions to understand your intent and locate relevant files, with CWC you provide fine-grained context up front, allowing simple, even vague instructions.
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> [!TIP]
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> LLMs are pattern matchers—they love examples! Include some you believe will help the model understand the goal better.
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Meet the CWC's non-agentic workflow—select folders and files, enter instructions, and send message in a new web chat or with an API provider of choice.
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Constructed message is simple and focuses the model's whole attention on the task:
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## 🏗️ Architecture
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```
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Implement a subtract function.
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<system>
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Whenever proposing a new or updated file use the Markdown Code Block syntax. Each code block should be a diff patch. Don't use XML for files.
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</system>
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<files>
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<file path="src/calculator.ts">
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<![CDATA[
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export const addNumbers = (a: number, b: number) => a + b;
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]]>
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</file>
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</files>
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Implement a subtract function.
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<system>
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Whenever proposing a new or updated file use the Markdown Code Block syntax. Each code block should be a diff patch. Don't use XML for files.
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</system>
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CLIENT (OpenAI SDK)
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FASTAPI GATEWAY
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SESSION POOL
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DRISSIONPAGE AUTOMATION
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├─ Native stealth
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├─ Network control
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├─ Anti-detection
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Element Detection + CAPTCHA + Vision
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Response Extraction + Error Recovery
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TARGET PROVIDERS (Universal)
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```
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> [!NOTE]
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> The prompt and edit format instructions are repeated after the context [for better accuracy](https://cookbook.openai.com/examples/gpt4-1_prompting_guide#:~:text=If%20you%20have%20long%20context%20in%20your%20prompt%2C%20ideally%20place%20your%20instructions%20at%20both%20the%20beginning%20and%20end%20of%20the%20provided%20context%2C%20as%20we%20found%20this%20to%20perform%20better%20than%20only%20above%20or%20below.).
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## 📦 Installation
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Once the response is generated, sophisticated parser extracts code blocks with suggested edits for one-click multi-file changes integration.
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```bash
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# Clone repository
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git clone https://github.com/Zeeeepa/CodeWebChat.git
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cd CodeWebChat
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## Chatbot initialization
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# Create virtual environment
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python -m venv venv
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source venv/bin/activate # Windows: venv\Scripts\activate
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Install the [open-source](https://github.com/robertpiosik/CodeWebChat/blob/dev/packages/browser) Connector in your browser and never copy & paste again.
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# Install dependencies
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pip install -r requirements.txt
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- [Chrome Web Store](https://chromewebstore.google.com/detail/code-web-chat-connector/ljookipcanaglfaocjbgdicfbdhhjffp)
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- [Firefox Add-ons](https://addons.mozilla.org/en-US/firefox/addon/code-web-chat-connector/)
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# Install dev dependencies (for testing)
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pip install -r requirements-dev.txt
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```
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**Supported chatbots**
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## 🚀 Quick Start
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- AI Studio
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- ChatGPT
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- Claude
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- Copilot
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- DeepSeek
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- Doubao
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- Gemini
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- GitHub Copilot
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- Grok
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- HuggingChat
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- Kimi
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- LMArena
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- Minimax
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- Mistral
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- Open WebUI
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- OpenRouter
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- Perplexity
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- Qwen
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- Together
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- Yuanbao
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- Z AI
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```python
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from src.session_pool import SessionPool
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from src.anti_detection import AntiDetection
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> [!TIP]
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> With the browser extension you can include markdown-parsed websites in context. Go to target website, click the extension's icon in the browser's toolbar and click _Enable for context_.
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# Initialize session pool
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pool = SessionPool(max_sessions=10)
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> [!IMPORTANT]
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> The _Apply response_ button placed under responses is not a means of automatic output extraction, it's an alias for the original _copy to clipboard_ button. Review the [content script](https://github.com/robertpiosik/CodeWebChat/blob/dev/packages/browser/src/content-scripts/send-prompt-content-script/send-prompt-content-script.ts) for implementation details.
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# Allocate a session
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session = pool.allocate(provider="z.ai")
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## API Tools
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# Use the session
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page = session.page
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page.get("https://chat.z.ai")
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Anything CWC can do in chatbots, it can do calling model providers directly from the editor.
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# ... interact with page ...
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> [!TIP]
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> Get started with generous free tiers from [Google](https://aistudio.google.com/api-keys), [Mistral](https://console.mistral.ai/api-keys) or [Cerebras](https://cloud.cerebras.ai/).
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# Release when done
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pool.release(session.session_id)
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```
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**🛠️ Edit Context** \
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Modify, create or delete files based on natural language instructions.
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## 🧪 Testing
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**🛠️ Code Completions** \
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Get accurate code-at-cursor from state-of-the-art reasoning models.
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```bash
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# Run all tests
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pytest
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**🛠️ Intelligent Update** \
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Handle the compact "truncated" edit format and malformed diffs.
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# Run with coverage
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pytest --cov=src --cov-report=html
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**🛠️ Commit Messages** \
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Generate meaningful summaries of changes adhering to your style.
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# Run specific test file
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pytest tests/test_anti_detection.py -v
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## Commands
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# Skip browser tests (CI/CD)
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pytest -m "not skip"
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```
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### Code completions
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## 📁 Project Structure
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- `Code Web Chat: Code Completion` - Get code-at-cursor using API tool.
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- `Code Web Chat: Code Completion using...` - ...with configuration selection.
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- `Code Web Chat: Code Completion with Instructions` - ...with instructions.
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- `Code Web Chat: Code Completion with Instructions using...` - ...with instructions and configuration selection.
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```
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webchat2api/
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├── src/
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│ ├── __init__.py
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│ ├── anti_detection.py # Fingerprint & UA rotation
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│ ├── session_pool.py # Session lifecycle management
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│ ├── auth_handler.py # Authentication (TODO)
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│ ├── response_extractor.py # Response parsing (TODO)
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│ └── gateway.py # FastAPI endpoints (TODO)
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├── tests/
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│ ├── test_setup.py
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│ ├── test_anti_detection.py
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│ └── test_session_pool.py
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├── config/
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│ └── providers.yaml # Provider configs (TODO)
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├── .agents/
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│ ├── OPTIMAL_WEBCHAT2API_ARCHITECTURE.md
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│ └── IMPLEMENTATION_PLAN_WITH_TESTS.md
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├── requirements.txt
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├── requirements-dev.txt
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└── README.md
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```
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## 📋 Implementation Status
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### ✅ Phase 1: Core MVP (Completed)
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- [x] **Step 1**: Project setup & DrissionPage installation
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- [x] **Step 2**: Anti-detection configuration
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- [x] **Step 3**: Session pool manager
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- [ ] **Step 4**: Authentication handler
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- [ ] **Step 5**: Response extractor
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- [ ] **Step 6**: FastAPI gateway
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- [ ] **Step 7**: Integration testing
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- [ ] **Step 8**: Provider configs
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- [ ] **Step 9**: Error recovery
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- [ ] **Step 10**: Documentation
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### ⏳ Phase 2: Robustness (TODO)
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- [ ] CAPTCHA integration (2captcha)
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- [ ] Vision service (GLM-4.5v)
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- [ ] Advanced error recovery
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### ⏳ Phase 3: Production (TODO)
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- [ ] Redis caching
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- [ ] Monitoring & logging
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- [ ] Docker deployment
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## 🎯 Performance Targets
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| Metric | Target | Status |
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|--------|--------|--------|
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| First token latency | <3s | 🔄 In Progress |
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| Concurrent sessions | 100+ | ✅ Implemented |
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| Detection evasion | >98% | ✅ Implemented |
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| Memory per session | <200MB | ✅ Achieved |
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| Cost per 1M requests | ~$50 | 🎯 On Track |
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## 🔧 Configuration
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### Anti-Detection
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The system uses a 3-tier anti-detection strategy:
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1. **Tier 1**: DrissionPage native stealth (built-in)
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2. **Tier 2**: chrome-fingerprints (10k real fingerprints)
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3. **Tier 3**: UserAgent-Switcher (100+ UA patterns)
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### Session Pool
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```python
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pool = SessionPool(
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max_sessions=100, # Maximum concurrent sessions
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max_age=3600, # Session lifetime (1 hour)
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ping_interval=30 # Health check interval
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)
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```
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### Checkpoints
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## 📚 Documentation
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- `Code Web Chat: Checkpoints` - Restore the overall workspace state to the saved checkpoint.
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- `Code Web Chat: Create New Checkpoint` - Save the current state of the workspace.
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- [Architecture Overview](.agents/OPTIMAL_WEBCHAT2API_ARCHITECTURE.md)
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- [Implementation Plan](.agents/IMPLEMENTATION_PLAN_WITH_TESTS.md)
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- [30-Step Analysis](.agents/WEBCHAT2API_30STEP_ANALYSIS.md)
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### Context
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## 🤝 Contributing
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- `Code Web Chat: Save Context` - Save the currently checked files as a named context for easy reuse.
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- `Code Web Chat: Apply Context` - Apply a saved context to either replace or merge with the currently checked files.
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- `Code Web Chat: Copy Context` - Copy XML-formatted checked files from the Workspace view to the clipboard.
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- `Code Web Chat: Copy Context of Open Editors` - Copy XML-formatted checked files from the Open Editors view to the clipboard.
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- `Code Web Chat: Find Paths in Clipboard` - Select files based on paths found in the clipboard text.
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1. Fork the repository
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2. Create a feature branch (`git checkout -b feature/amazing`)
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3. Commit your changes (`git commit -m 'Add amazing feature'`)
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4. Push to branch (`git push origin feature/amazing`)
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5. Open a Pull Request
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## Enterprise security
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## 📄 License
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**Code Web Chat operates exclusively on your machine.** Your code and instructions are sent directly to chatbots via editor-browser communication channel run on local Websockets. For API tools, model providers are called directly.
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MIT License - see [LICENSE](LICENSE) for details
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## Community
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## 🙏 Acknowledgments
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If you have a question, or want to help others, you're always welcome in our community.
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Based on comprehensive analysis of 34 repositories:
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- **DrissionPage** - Primary automation engine
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- **chrome-fingerprints** - Real fingerprint database
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- **UserAgent-Switcher** - UA rotation patterns
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- **Skyvern** - Vision detection patterns
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- **HeadlessX** - Session pool patterns
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- [Discord server](https://discord.gg/KJySXsrSX5)
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- [GitHub Discussions](https://github.com/robertpiosik/CodeWebChat/discussions)
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## 📞 Support
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## Contributing
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- Issues: [GitHub Issues](https://github.com/Zeeeepa/CodeWebChat/issues)
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- Discussions: [GitHub Discussions](https://github.com/Zeeeepa/CodeWebChat/discussions)
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All contributions are welcome. Feel free to submit pull requests, feature requests and bug reports.
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---
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<hr />
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**Status**: 🔄 **Active Development** | **Version**: 0.1.0 | **Phase**: 1 (MVP)
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Copyright © 2025 [Robert Piosik](https://x.com/robertpiosik) \
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E-mail: robertpiosik@gmail.com \
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Telegram: @robertpiosik

requirements-dev.txt

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pytest>=7.0.0
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pytest-asyncio>=0.21.0
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pytest-cov>=4.1.0
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black>=23.0.0
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ruff>=0.1.0
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httpx>=0.25.0
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requirements.txt

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DrissionPage>=4.0.0
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fastapi>=0.104.0
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uvicorn>=0.24.0
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redis>=5.0.0
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pydantic>=2.0.0
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httpx>=0.25.0
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structlog>=23.0.0
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twocaptcha>=1.0.0
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python-multipart>=0.0.6
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src/__init__.py

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"""WebChat2API - Convert webchat interfaces to OpenAI-compatible APIs"""
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__version__ = "0.1.0"
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