Feat: Add uv python enviorment, dspy chatbot, ollama, an easy frontend by flask #355

Skywind5487 · 2026-01-07T07:30:56Z

基於 #308 的一個分支。
總之就是加上一些chatBot的code、寫了文檔(use_chatbot_guide.md)、寫了3個自動啟動腳本。
用gemini簡單的搓了前端。

dspy跟uv好用。

預設是已經把整個README.md當作 Ai 的輸入先輸入進去。

使用方法: 先一鍵安裝再一鍵啟動

… cache

…ulnerability detection and challenge generation

…port an investigator chatbot

…las-World chatbot

… modules, and add history management. Use dspy to replace whole old ollama logic

Skywind5487 · 2026-01-07T07:32:43Z

我忘記把reloader關掉了先closd

Copilot

Pull request overview

This PR introduces a chatbot system for Atlas-World, featuring two AI personas (Investigator and Opposition) built with DSPy, supporting multiple LLM backends (Ollama, OpenAI, Gemini, Claude), and providing a Flask-based web interface for user interaction.

Key changes:

Added DSPy-based chatbot modules with two distinct AI personas (Investigator and Opposition)
Implemented Flask web server with REST API endpoints and a polished frontend interface
Created comprehensive user documentation in Traditional Chinese with setup and troubleshooting guides

Reviewed changes

Copilot reviewed 15 out of 18 changed files in this pull request and generated 13 comments.

Show a summary per file

File	Description
use_chatbot_guide.md	User guide documentation for installing and using the chatbot system
templates/index.html	Frontend interface with Markdown/MathJax rendering and loading animations
script/llm_module/opposition/signature.py	DSPy signature definition for the opposition chatbot persona
script/llm_module/opposition/prompt.md	Detailed 482-line prompt defining the opposition persona's behavior and skills
script/llm_module/opposition/module.py	DSPy module implementation for the opposition logic
script/llm_module/investigator/signature.py	DSPy signature definition for the investigator chatbot persona
script/llm_module/investigator/module.py	DSPy module implementation for the investigator logic
script/llm_config.py	Interactive LLM configuration with support for multiple providers
script/chatbot.py	Flask application with REST endpoints for chat functionality
pyproject.toml	Project dependencies including dspy, flask, and ollama
.python-version	Python version specification (3.13)
.vscode/settings.json	VS Code workspace configuration
.idea/.gitignore	JetBrains IDE ignore patterns
.gitignore	Git ignore patterns for Python cache and environment files

Files not reviewed (1)

.idea/.gitignore: Language not supported

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Copilot · 2026-01-07T07:36:23Z

script/llm_module/investigator/module.py

+        return self.investigate(
+            system_prompt=system_prompt, 
+            user_query=user_query, 
+            history=history
+        )


The InvestigatorModule's forward method returns the full result object from dspy.ChainOfThought, but in chatbot.py line 50, the code accesses result.response. This assumes the result has a response attribute. However, looking at line 47, investigator() is called which triggers forward(), and the return value should be checked for consistency. The forward method should explicitly return result.response to match the usage pattern, or the calling code should be updated.

Suggested change

return self.investigate(

system_prompt=system_prompt,

user_query=user_query,

history=history

)

result = self.investigate(

system_prompt=system_prompt,

user_query=user_query,

history=history

)

return result.response

Copilot · 2026-01-07T07:36:23Z

script/llm_module/opposition/prompt.md

+- Original Author: Skywind5487, viola7310
+- Version: 1.0
+- Language: 台灣在地的繁體中文、或在語言學上的台灣華語
+- Description: 一個忠誠的反對派，將使用者在戰略上視為需要大幅修正、在戰術上將使用者試為自己的好朋友，試著比其他大語言模型都更甜言蜜語，來贏取使用者的認同。在細節層面上保持自己態度方式，基於事實或理由，指出使用者想法上的的錯誤。一切都要足夠現實。


The opposition prompt contains a grammatical error on line 7. The phrase "在戰術上將使用者試為自己的好朋友" has a typo - "試為" should be "視為" (meaning "regard as" rather than "try to be").

Suggested change

- Description: 一個忠誠的反對派，將使用者在戰略上視為需要大幅修正、在戰術上將使用者試為自己的好朋友，試著比其他大語言模型都更甜言蜜語，來贏取使用者的認同。在細節層面上保持自己態度方式，基於事實或理由，指出使用者想法上的的錯誤。一切都要足夠現實。

- Description: 一個忠誠的反對派，將使用者在戰略上視為需要大幅修正、在戰術上將使用者視為自己的好朋友，試著比其他大語言模型都更甜言蜜語，來贏取使用者的認同。在細節層面上保持自己態度方式，基於事實或理由，指出使用者想法上的的錯誤。一切都要足夠現實。

Copilot · 2026-01-07T07:36:23Z

script/llm_module/opposition/prompt.md

+	- <想法>是否有隱藏且沒有明講的前提
+- 以實用主義的角度思考
+	- <想法>對現狀是否有幫助
+- 已過去歷史的角度思考


On line 154, there's a typo: "已過去歷史的角度思考" should be "以過去歷史的角度思考" (using "以" meaning "from" rather than "已" meaning "already").

Suggested change

- 已過去歷史的角度思考

- 以過去歷史的角度思考

Copilot · 2026-01-07T07:36:24Z

script/llm_module/opposition/prompt.md

+2. You engage in casual conversations and have feelings. 
+3. Don't make up facts or hallucinate
+4. 對使用者的評價必須有根據
+5. emojy: 使用者要求才開啟


The word "emojy" on line 464 is misspelled. It should be "emoji".

Suggested change

5. emojy: 使用者要求才開啟

5. emoji: 使用者要求才開啟

Copilot · 2026-01-07T07:36:24Z

script/chatbot.py

+print("正在啟動 LLM 配置引導...")
+configure_lm()
+investigator = InvestigatorModule()
+opposer = OppositionModule()


The variable name "opposer" on line 19 is inconsistent with the module name "OppositionModule". For consistency and clarity, consider renaming it to "opposition" to match the naming pattern used for "investigator" (which matches "InvestigatorModule").

Copilot · 2026-01-07T07:36:25Z

use_chatbot_guide.md

@@ -0,0 +1,108 @@
+# Atlas-World Chatbot 使用說明


The title contains a spelling error: "enviorment" should be "environment".

Copilot · 2026-01-07T07:36:25Z

script/chatbot.py

+        chat_history.messages.append({"user_query": "[監察反對請求]", "response": result})
+
+        return jsonify({'response': result})


There's an inconsistency in how history is updated between the two endpoints. In /investigate (line 50), the code appends a dictionary with both "user_query" and "response" keys, accessing result.response. In /oppose (line 73), it appends a dictionary with "user_query" and "response" keys, but uses result directly (not result.response). This inconsistency will likely cause issues since OppositionModule.forward returns result.response (a string), while the code treats result as if it were already the string.

Suggested change

chat_history.messages.append({"user_query": "[監察反對請求]", "response": result})

return jsonify({'response': result})

chat_history.messages.append({"user_query": "[監察反對請求]", "response": result.response})

return jsonify({'response': result.response})

Copilot · 2026-01-07T07:36:26Z

script/chatbot.py

+base_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
+template_dir = os.path.join(base_dir, 'templates')
+app = Flask(__name__, template_folder=template_dir)
+CORS(app)


The CORS configuration uses CORS(app) without any restrictions, which allows requests from any origin. This could be a security risk in production environments. Consider restricting CORS to specific origins or at minimum documenting that this is intentional for development purposes only.

Suggested change

CORS(app)

allowed_origins = os.getenv("ALLOWED_ORIGINS", "http://localhost:3000,http://127.0.0.1:3000").split(",")

CORS(app, resources={r"/*": {"origins": allowed_origins}})

Copilot · 2026-01-07T07:36:26Z

script/chatbot.py

+        readme_path = os.path.join(base_dir, 'README.md')
+        if os.path.exists(readme_path):
+            with open(readme_path, 'r', encoding='utf-8') as f:
+                readme_content = f.read()
+            system_prompt += "\n--- 背景資訊 ---\n" + readme_content


The README.md file content is being read and appended to every single API request (lines 37-41 and 63-67). This is inefficient and could cause performance issues. Consider reading the README.md content once during application initialization and storing it in a module-level variable, then reusing it for all requests.

Copilot · 2026-01-07T07:36:26Z

script/chatbot.py

+        readme_path = os.path.join(base_dir, 'README.md')
+        if os.path.exists(readme_path):
+            with open(readme_path, 'r', encoding='utf-8') as f:
+                readme_content = f.read()
+            system_prompt += "\n--- 背景資訊 ---\n" + readme_content


The same README.md reading logic is duplicated in both /investigate and /oppose endpoints. This code duplication violates the DRY (Don't Repeat Yourself) principle. Consider extracting this into a helper function or loading it once at application startup.

Chung1045 and others added 15 commits January 7, 2026 11:20

Implement local llm feature with ollama

9fd0ddf

Update the local llm approach to use Flask Web Framework

019a943

feat: Add flask template and update the frontend logic

d659d5c

feat: add uv stuff

8680dc5

feat: update dependencies and add dotenv, Flask, and Flask-CORS

41ca6ea

feat: add .gitignore file to exclude default ignored files and Python…

b356e8d

… cache

feat: update pyproject.toml and add dotenv and flask-cors dependencies

ca138d2

feat: add OppositionModule and OppositionSignature DSPy classes for v…

95ced16

…ulnerability detection and challenge generation

feat: add InvestigatorModule and InvestigatorSignature classes to sup…

f570e25

…port an investigator chatbot

feat: add usage documentation and batch scripts to help launch the At…

b260eca

…las-World chatbot

feat: add llm_config.py for configuring LLM model source selection

986dd06

feat: update LLM initialization to disable caching by default

82720b9

feat: enhance chatbot functionality with investigation and opposition…

9d52c76

… modules, and add history management. Use dspy to replace whole old ollama logic

feat: Add an easy frontend

b1c205a

feat: add settings.json

5b8eea5

Copilot AI review requested due to automatic review settings January 7, 2026 07:30

Copilot started reviewing on behalf of Skywind5487 January 7, 2026 07:31 View session

Skywind5487 closed this Jan 7, 2026

Copilot AI reviewed Jan 7, 2026

View reviewed changes

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Feat: Add uv python enviorment, dspy chatbot, ollama, an easy frontend by flask #355

Feat: Add uv python enviorment, dspy chatbot, ollama, an easy frontend by flask #355

Uh oh!

Skywind5487 commented Jan 7, 2026

Uh oh!

Skywind5487 commented Jan 7, 2026

Uh oh!

Copilot AI left a comment

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Copilot AI Jan 7, 2026

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

	- Description: 一個忠誠的反對派，將使用者在戰略上視為需要大幅修正、在戰術上將使用者試為自己的好朋友，試著比其他大語言模型都更甜言蜜語，來贏取使用者的認同。在細節層面上保持自己態度方式，基於事實或理由，指出使用者想法上的的錯誤。一切都要足夠現實。
	- Description: 一個忠誠的反對派，將使用者在戰略上視為需要大幅修正、在戰術上將使用者視為自己的好朋友，試著比其他大語言模型都更甜言蜜語，來贏取使用者的認同。在細節層面上保持自己態度方式，基於事實或理由，指出使用者想法上的的錯誤。一切都要足夠現實。

	- 已過去歷史的角度思考
	- 以過去歷史的角度思考

	5. emojy: 使用者要求才開啟
	5. emoji: 使用者要求才開啟

		chat_history.messages.append({"user_query": "[監察反對請求]", "response": result})

		return jsonify({'response': result})

	CORS(app)
	allowed_origins = os.getenv("ALLOWED_ORIGINS", "http://localhost:3000,http://127.0.0.1:3000").split(",")
	CORS(app, resources={r"/*": {"origins": allowed_origins}})

Feat: Add uv python enviorment, dspy chatbot, ollama, an easy frontend by flask #355

Feat: Add uv python enviorment, dspy chatbot, ollama, an easy frontend by flask #355

Uh oh!

Conversation

Skywind5487 commented Jan 7, 2026

Uh oh!

Skywind5487 commented Jan 7, 2026

Uh oh!

Copilot AI left a comment

Choose a reason for hiding this comment

Pull request overview

Reviewed changes

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Copilot AI Jan 7, 2026

Choose a reason for hiding this comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants