Ai domain #2

Tuntii · 2025-12-21T06:40:49Z

No description provided.

Copilot

Pull request overview

This PR introduces AI-powered features and enhanced UI capabilities to OpenAuditKit, along with a comprehensive rebrand to the NeuralForge.one domain. The changes add streaming support for AI interactions, improve the user experience with Rich console components, and update documentation to reflect the tool's AI capabilities.

Key Changes:

Added streaming AI capabilities for real-time code explanations
Introduced a centralized UI module using Rich for better terminal output
Enhanced secret detection with improved JSON parsing and error handling
Updated branding from openauditkit.org to neuralforge.one

Reviewed changes

Copilot reviewed 14 out of 18 changed files in this pull request and generated 21 comments.

Show a summary per file

File	Description
requirements.txt	Added openai>=1.0.0 dependency for AI features
pyproject.toml	Updated contact email to neuralforge.one domain and added dev dependencies
openaudit/main.py	Removed debug print statement
openaudit/interface/cli/ui.py	New centralized UI handler with Rich console integration and markdown streaming
openaudit/interface/cli/commands.py	Integrated UI module, improved AI agent workflow with progress indicators and status messages
openaudit/features/secrets/agent.py	Enhanced JSON response parsing for AI secret validation with markdown cleanup
openaudit/features/explain/agent.py	Added streaming method for real-time code explanations
openaudit/ai/engine.py	Implemented chat_completion_stream for streaming AI responses
openaudit.egg-info/requires.txt	Updated package requirements (build artifact - should not be committed)
openaudit.egg-info/PKG-INFO	Updated package metadata with new branding (build artifact - should not be committed)
dist/*	Built distribution files (build artifacts - should not be committed)
build/*	Compilation artifacts (build artifacts - should not be committed)
README.md	Comprehensive documentation rewrite with AI feature highlights and modern formatting
.gitignore	Added entries to ignore build artifacts and egg-info directories

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

Copilot · 2025-12-21T06:47:38Z

README.md

+| **⚙️ Config Audit** | Discovers misconfigurations in `Dockerfile`, `.env`, `Kubernetes`, and more. |
+| **🧠 AI Advisory** | **(New)** Integrated AI Agents explain vulnerabilities and suggest fixes. |
+| **🏗️ Architecture Analysis** | AI agents analyze your project structure for design flaws. |
+| **🛡️ Threat Modeling** | auto-generates STRIDE threat models based on your codebase. |


Inconsistent capitalization: "auto-generates" should be capitalized consistently with the rest of the table entries. The other feature descriptions start with capital letters after the emoji ("Detects", "Discovers", "Integrated", "AI agents analyze"), so this should be "Auto-generates" or "Automatically generates".

Suggested change

| **🛡️ Threat Modeling** | auto-generates STRIDE threat models based on your codebase. |

| **🛡️ Threat Modeling** | Auto-generates STRIDE threat models based on your codebase. |

Copilot · 2025-12-21T06:47:38Z

openaudit.egg-info/PKG-INFO

-```bash
-openaudit scan .
-```
+## � What is OpenAuditKit?


The emoji appears to be corrupted or missing. The text shows "## � What is OpenAuditKit?" where the � indicates a character encoding issue. This same issue appears in the README.md file.

Suggested change

## � What is OpenAuditKit?

## What is OpenAuditKit?

Copilot · 2025-12-21T06:47:38Z

openaudit.egg-info/PKG-INFO

+| **⚙️ Config Audit** | Discovers misconfigurations in `Dockerfile`, `.env`, `Kubernetes`, and more. |
+| **🧠 AI Advisory** | **(New)** Integrated AI Agents explain vulnerabilities and suggest fixes. |
+| **🏗️ Architecture Analysis** | AI agents analyze your project structure for design flaws. |
+| **🛡️ Threat Modeling** | auto-generates STRIDE threat models based on your codebase. |


Inconsistent capitalization: "auto-generates" should start with a capital letter to match the style of other feature descriptions in the table. This should be "Auto-generates" or "Automatically generates".

Suggested change

| **🛡️ Threat Modeling** | auto-generates STRIDE threat models based on your codebase. |

| **🛡️ Threat Modeling** | Auto-generates STRIDE threat models based on your codebase. |

Copilot · 2025-12-21T06:47:39Z

openaudit/interface/cli/ui.py

+class UI:
+    """
+    Centralized UI handler using Rich.
+    """
+    console = Console()
+
+    @staticmethod
+    def print(text: str, style: str = None):
+        UI.console.print(text, style=style)
+
+    @staticmethod
+    def header(title: str):
+        UI.console.rule(f"[bold blue]{title}[/bold blue]")
+
+    @staticmethod
+    def success(message: str):
+        UI.console.print(f"[bold green]✓[/bold green] {message}")
+
+    @staticmethod
+    def error(message: str):
+        UI.console.print(f"[bold red]✗[/bold red] {message}")
+
+    @staticmethod
+    def warning(message: str):
+        UI.console.print(f"[bold yellow]![/bold yellow] {message}")
+
+    @staticmethod
+    def create_progress():
+        return Progress(
+            SpinnerColumn(),
+            TextColumn("[progress.description]{task.description}"),
+            BarColumn(),
+            TaskProgressColumn(),
+            console=UI.console
+        )
+
+    @staticmethod
+    def stream_markdown(content_generator: Generator[str, None, None], title: str = "Analysis"):
+        """
+        Streams markdown content nicely.
+        """
+        with Live(console=UI.console, refresh_per_second=10) as live:
+            accumulated_text = ""
+            for chunk in content_generator:
+                accumulated_text += chunk
+                markdown = Markdown(accumulated_text)
+                panel = Panel(markdown, title=title, border_style="blue")
+                live.update(panel)
+
+            # Final render
+            markdown = Markdown(accumulated_text)
+            panel = Panel(markdown, title=title, border_style="green")
+            live.update(panel)
+        return accumulated_text


The new UI class lacks test coverage. Given that the repository enforces a 90% test coverage threshold (mentioned in the removed README section) and has comprehensive tests for other modules like scanners, this new UI module should have corresponding tests to verify the Rich console integration, progress bars, and markdown streaming functionality.

Copilot · 2025-12-21T06:47:39Z

README.md

-```bash
-openaudit scan .
-```
+## � What is OpenAuditKit?


The emoji appears to be corrupted or missing. The text shows "## � What is OpenAuditKit?" where the � indicates a character encoding issue or a missing/unsupported emoji. This also appears in the PKG-INFO file. Verify that the emoji renders correctly across different terminals and platforms, or replace it with a text-safe alternative.

Suggested change

## � What is OpenAuditKit?

## What is OpenAuditKit?

Copilot · 2025-12-21T06:47:41Z

openaudit/interface/cli/ui.py

+            for chunk in content_generator:
+                accumulated_text += chunk
+                markdown = Markdown(accumulated_text)
+                panel = Panel(markdown, title=title, border_style="blue")
+                live.update(panel)
+
+            # Final render
+            markdown = Markdown(accumulated_text)
+            panel = Panel(markdown, title=title, border_style="green")
+            live.update(panel)


The stream_markdown method doesn't handle exceptions from the generator. If the AI streaming fails mid-stream (e.g., network error, API timeout), the exception will propagate up without any cleanup of the Live display context. Consider wrapping the iteration in a try-except block to ensure graceful error handling and proper display cleanup.

Suggested change

for chunk in content_generator:

accumulated_text += chunk

markdown = Markdown(accumulated_text)

panel = Panel(markdown, title=title, border_style="blue")

live.update(panel)

# Final render

markdown = Markdown(accumulated_text)

panel = Panel(markdown, title=title, border_style="green")

live.update(panel)

try:

for chunk in content_generator:

accumulated_text += chunk

markdown = Markdown(accumulated_text)

panel = Panel(markdown, title=title, border_style="blue")

live.update(panel)

except Exception as exc:

# Render an error panel if streaming is interrupted

error_markdown = Markdown(

f"**Streaming interrupted:** {exc}"

)

error_panel = Panel(error_markdown, title=title, border_style="red")

live.update(error_panel)

else:

# Final render on successful completion

markdown = Markdown(accumulated_text)

panel = Panel(markdown, title=title, border_style="green")

live.update(panel)

Copilot · 2025-12-21T06:47:41Z

openaudit/ai/engine.py

+    def chat_completion_stream(self, system_prompt: str, user_prompt: str, model: str = "gpt-4o"):
+        """
+        Executes a chat completion request with streaming.
+        Yields chunks of the response content.
+        """
+        if not self.client:
+            self._initialize_client()
+            if not self.client:
+                raise RuntimeError("OpenAI API key not configured. Run 'openaudit config set-key <KEY>' or set OPENAI_API_KEY env var.")
+
+        try:
+            stream = self.client.chat.completions.create(
+                model=model,
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": user_prompt}
+                ],
+                temperature=0.2,
+                stream=True
+            )
+            for chunk in stream:
+                if chunk.choices[0].delta.content:
+                    yield chunk.choices[0].delta.content
+        except OpenAIError as e:
+            raise RuntimeError(f"OpenAI API Error: {str(e)}")
+


The new chat_completion_stream method lacks test coverage. Since the repository has comprehensive testing for the existing chat_completion method, this new streaming functionality should have corresponding tests to verify streaming behavior, error handling, and edge cases like empty streams or connection failures.

Copilot · 2025-12-21T06:47:41Z

openaudit/ai/engine.py

+                if chunk.choices[0].delta.content:
+                    yield chunk.choices[0].delta.content


The streaming implementation doesn't handle the case where chunk.choices[0].delta.content might be None for some chunks (e.g., the first chunk often contains role information). While the current code checks for truthiness which handles None, it may skip empty strings. Consider explicitly checking for is not None if you want to preserve empty string chunks, or document that empty chunks are intentionally skipped.

Suggested change

if chunk.choices[0].delta.content:

yield chunk.choices[0].delta.content

content = chunk.choices[0].delta.content

if content is not None:

yield content

Copilot · 2025-12-21T06:47:42Z

openaudit/interface/cli/commands.py

+            df_results = cross_agent.run_on_graph(df_graph)
+
+            for res in df_results:
+                 if res.is_advisory:


The indentation is inconsistent here. Line 147 has an extra space before the if statement (note the spacing in if res.is_advisory:). This inconsistency can cause subtle issues with Python's indentation-based syntax and makes the code harder to read. Ensure consistent indentation (typically 4 spaces per level) throughout the block.

Copilot · 2025-12-21T06:47:42Z

openaudit/interface/cli/commands.py

+                    if ai_result:
+                        # Enrich Finding
+                        finding.description += f" [AI: {ai_result.analysis}]"
+                        finding.is_ai_generated = True # Tag enriched findings too


Setting is_ai_generated = True on a finding that was originally detected by rule-based scanners is misleading. The finding is AI-enriched, not AI-generated. Consider using a separate field like is_ai_enriched or ai_verified, or documenting that is_ai_generated actually means "touched by AI" rather than "originally generated by AI".

Suggested change

finding.is_ai_generated = True # Tag enriched findings too

Tuntii added 2 commits December 21, 2025 09:34

!

bbfcd4e

!

dd7dac1

Copilot AI review requested due to automatic review settings December 21, 2025 06:40

Tuntii merged commit d5574fe into main Dec 21, 2025
2 of 4 checks passed

Copilot started reviewing on behalf of Tuntii December 21, 2025 06:41 View session

Copilot AI reviewed Dec 21, 2025

View reviewed changes

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Ai domain #2

Ai domain #2

Uh oh!

Tuntii commented Dec 21, 2025

Uh oh!

Uh oh!

Copilot AI left a comment

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Copilot AI Dec 21, 2025

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

	\| 🛡️ Threat Modeling \| auto-generates STRIDE threat models based on your codebase. \|
	\| 🛡️ Threat Modeling \| Auto-generates STRIDE threat models based on your codebase. \|

		if chunk.choices[0].delta.content:
		yield chunk.choices[0].delta.content

-                if chunk.choices[0].delta.content:
-                    yield chunk.choices[0].delta.content
+                content = chunk.choices[0].delta.content
+                if content is not None:
+                    yield content

Ai domain #2

Ai domain #2

Uh oh!

Conversation

Tuntii commented Dec 21, 2025

Uh oh!

Uh oh!

Copilot AI left a comment

Choose a reason for hiding this comment

Pull request overview

Reviewed changes

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Copilot AI Dec 21, 2025

Choose a reason for hiding this comment

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants