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55
.gitea/workflows/ai-issue-triage.yml
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@@ -1,36 +1,37 @@
name: AI Issue Triage name: AI Issue Triage
on: on:
issues: issue_comment:
types: [opened, labeled] types: [created]
jobs: jobs:
ai-triage: ai-triage:
runs-on: ubuntu-latest runs-on: ubuntu-latest
steps: # Only run if comment contains @codebot triage
- uses: actions/checkout@v4 if: contains(github.event.comment.body, '@codebot triage')
steps:
- uses: actions/checkout@v4
- uses: actions/checkout@v4 - uses: actions/checkout@v4
with: with:
repository: Hiddenden/openrabbit repository: Hiddenden/openrabbit
path: .ai-review path: .ai-review
token: ${{ secrets.AI_REVIEW_TOKEN }} token: ${{ secrets.AI_REVIEW_TOKEN }}
- uses: actions/setup-python@v5 - uses: actions/setup-python@v5
with: with:
python-version: "3.11" python-version: "3.11"
- run: pip install requests pyyaml - run: pip install requests pyyaml
- name: Run AI Issue Triage - name: Run AI Issue Triage
env: env:
AI_REVIEW_TOKEN: ${{ secrets.AI_REVIEW_TOKEN }} AI_REVIEW_TOKEN: ${{ secrets.AI_REVIEW_TOKEN }}
AI_REVIEW_REPO: ${{ gitea.repository }} AI_REVIEW_REPO: ${{ gitea.repository }}
AI_REVIEW_API_URL: https://git.hiddenden.cafe/api/v1 AI_REVIEW_API_URL: https://git.hiddenden.cafe/api/v1
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }} OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }} OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
run: | run: |
cd .ai-review/tools/ai-review cd .ai-review/tools/ai-review
python main.py issue ${{ gitea.repository }} ${{ gitea.event.issue.number }} \ python main.py issue ${{ gitea.repository }} ${{ gitea.event.issue.number }}
--title "${{ gitea.event.issue.title }}"

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.github/workflows/ai-chat.yml vendored
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name: AI Chat (Bartender)
on:
issue_comment:
types: [created]
# CUSTOMIZE YOUR BOT NAME:
# Change '@ai-bot' below to match your config.yml mention_prefix
# Examples: '@bartender', '@uni', '@joey', '@codebot'
jobs:
ai-chat:
# Only run if comment mentions the bot
if: contains(github.event.comment.body, '@bartender') # <-- Change this to your bot name
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install requests pyyaml
- name: Run AI Chat
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
SEARXNG_URL: ${{ secrets.SEARXNG_URL }}
run: |
cd tools/ai-review
python main.py comment ${{ github.repository }} ${{ github.event.issue.number }} "${{ github.event.comment.body }}"

51
.github/workflows/ai-codebase-review.yml vendored
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@@ -1,51 +0,0 @@
name: AI Codebase Quality Review
on:
# Weekly scheduled run
schedule:
- cron: "0 0 * * 0" # Every Sunday at midnight
# Manual trigger
workflow_dispatch:
inputs:
report_type:
description: "Type of report to generate"
required: false
default: "full"
type: choice
options:
- full
- security
- quick
jobs:
ai-codebase-review:
runs-on: ubuntu-latest
steps:
# Checkout the repository
- uses: actions/checkout@v4
with:
fetch-depth: 0 # Full history for analysis
# Setup Python
- uses: actions/setup-python@v5
with:
python-version: "3.11"
# Install dependencies
- run: pip install requests pyyaml
# Run AI codebase analysis
- name: Run AI Codebase Analysis
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
run: |
cd tools/ai-review
python main.py codebase ${{ github.repository }}

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.github/workflows/ai-comment-reply.yml vendored
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name: AI Comment Reply
on:
issue_comment:
types: [created]
# CUSTOMIZE YOUR BOT NAME:
# Change '@ai-bot' below to match your config.yml mention_prefix
# Examples: '@bartender', '@uni', '@joey', '@codebot'
jobs:
ai-reply:
runs-on: ubuntu-latest
if: contains(github.event.comment.body, '@bartender') # <-- Change this to your bot name
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install requests pyyaml
- name: Run AI Comment Response
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
SEARXNG_URL: ${{ secrets.SEARXNG_URL }}
run: |
cd tools/ai-review
python main.py comment ${{ github.repository }} ${{ github.event.issue.number }} \
"${{ github.event.comment.body }}"

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.github/workflows/ai-issue-triage.yml vendored
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name: AI Issue Triage
on:
issues:
types: [opened, labeled]
jobs:
ai-triage:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install requests pyyaml
- name: Run AI Issue Triage
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
run: |
cd tools/ai-review
python main.py issue ${{ github.repository }} ${{ github.event.issue.number }} \
--title "${{ github.event.issue.title }}"

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.github/workflows/ai-review.yml vendored
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@@ -1,52 +0,0 @@
name: AI Code Review
on:
pull_request:
types: [opened, synchronize]
jobs:
ai-review:
runs-on: ubuntu-latest
steps:
# Checkout the PR repository
- uses: actions/checkout@v4
with:
fetch-depth: 0
# Checkout the AI tooling from this repo's tools directory
- name: Setup AI Review Tools
run: |
# Tools are already in this repo under tools/ai-review
echo "AI Review tools available at tools/ai-review"
# Setup Python
- uses: actions/setup-python@v5
with:
python-version: "3.11"
# Install dependencies
- run: pip install requests pyyaml
# Run the AI review
- name: Run AI Review
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
AI_REVIEW_PR_NUMBER: ${{ github.event.pull_request.number }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
OLLAMA_HOST: ${{ secrets.OLLAMA_HOST }}
run: |
cd tools/ai-review
python main.py pr ${{ github.repository }} ${{ github.event.pull_request.number }} \
--title "${{ github.event.pull_request.title }}"
# Fail CI on HIGH severity (optional)
- name: Check Review Result
if: failure()
run: |
echo "AI Review found HIGH severity issues. Please address them before merging."
exit 1

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CLAUDE.md Normal file
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@@ -0,0 +1,347 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Overview
OpenRabbit is an enterprise-grade AI code review system for Gitea (and GitHub). It provides automated PR review, issue triage, interactive chat, and codebase analysis through a collection of specialized AI agents.
## Commands
### Development
```bash
# Run tests
pytest tests/ -v
# Run specific test file
pytest tests/test_ai_review.py -v
# Install dependencies
pip install -r tools/ai-review/requirements.txt
# Run a PR review locally
cd tools/ai-review
python main.py pr owner/repo 123
# Run issue triage
python main.py issue owner/repo 456
# Test chat functionality
python main.py chat owner/repo "How does authentication work?"
# Run with custom config
python main.py pr owner/repo 123 --config /path/to/config.yml
```
### Testing Workflows
```bash
# Validate workflow YAML syntax
python -c "import yaml; yaml.safe_load(open('.github/workflows/ai-review.yml'))"
# Test security scanner
python -c "from security.security_scanner import SecurityScanner; s = SecurityScanner(); print(list(s.scan_content('password = \"secret123\"', 'test.py')))"
```
## Architecture
### Agent System
The codebase uses an **agent-based architecture** where specialized agents handle different types of events:
1. **BaseAgent** (`agents/base_agent.py`) - Abstract base class providing:
- Gitea API client integration
- LLM client integration with rate limiting
- Common comment management (upsert, find AI comments)
- Prompt loading from `prompts/` directory
- Standard execution flow with error handling
2. **Specialized Agents** - Each agent implements:
- `can_handle(event_type, event_data)` - Determines if agent should process the event
- `execute(context)` - Main execution logic
- Returns `AgentResult` with success status, message, data, and actions taken
- **PRAgent** - Reviews pull requests with inline comments and security scanning
- **IssueAgent** - Triages issues and responds to @ai-bot commands
- **CodebaseAgent** - Analyzes entire codebase health and tech debt
- **ChatAgent** - Interactive assistant with tool calling (search_codebase, read_file, search_web)
3. **Dispatcher** (`dispatcher.py`) - Routes events to appropriate agents:
- Registers agents at startup
- Determines which agents can handle each event
- Executes agents (supports concurrent execution)
- Returns aggregated results
### Multi-Provider LLM Client
The `LLMClient` (`clients/llm_client.py`) provides a unified interface for multiple LLM providers:
- **OpenAI** - Primary provider (gpt-4.1-mini default)
- **OpenRouter** - Multi-provider access (claude-3.5-sonnet)
- **Ollama** - Self-hosted models (codellama:13b)
Key features:
- Tool/function calling support via `call_with_tools(messages, tools)`
- JSON response parsing with fallback extraction
- Provider-specific configuration via `config.yml`
### Platform Abstraction
The `GiteaClient` (`clients/gitea_client.py`) provides a unified REST API client for **Gitea** (also compatible with GitHub API):
- Issue operations (create, update, list, get, comments, labels)
- PR operations (get, diff, files, reviews)
- Repository operations (get repo, file contents, branches)
Environment variables:
- `AI_REVIEW_API_URL` - API base URL (e.g., `https://api.github.com` or `https://gitea.example.com/api/v1`)
- `AI_REVIEW_TOKEN` - Authentication token
### Security Scanner
The `SecurityScanner` (`security/security_scanner.py`) uses **pattern-based detection** with 17 built-in rules covering:
- OWASP Top 10 categories (A01-A10)
- Common vulnerabilities (SQL injection, XSS, hardcoded secrets, weak crypto)
- Returns `SecurityFinding` objects with severity (HIGH/MEDIUM/LOW), CWE references, and recommendations
Can scan:
- File content via `scan_content(content, filename)`
- Git diffs via `scan_diff(diff)` - only scans added lines
### Chat Agent Tool Calling
The `ChatAgent` implements an **iterative tool calling loop**:
1. Send user message + system prompt to LLM with available tools
2. If LLM returns tool calls, execute each tool and append results to conversation
3. Repeat until LLM returns a final response (max 5 iterations)
Available tools:
- `search_codebase` - Searches repository files and code patterns
- `read_file` - Reads specific file contents (truncated at 8KB)
- `search_web` - Queries SearXNG instance (requires `SEARXNG_URL`)
## Configuration
### Primary Config File: `tools/ai-review/config.yml`
Critical settings:
```yaml
provider: openai # openai | openrouter | ollama
model:
openai: gpt-4.1-mini
openrouter: anthropic/claude-3.5-sonnet
ollama: codellama:13b
interaction:
mention_prefix: "@codebot" # Bot trigger name - update workflows too!
commands:
- explain # Explain what the issue is about
- suggest # Suggest solutions or next steps
- security # Security analysis
- summarize # Summarize the issue
- triage # Full triage with labeling
review:
fail_on_severity: HIGH # Fail CI if HIGH severity issues found
max_diff_lines: 800 # Skip review if diff too large
agents:
chat:
max_iterations: 5 # Tool calling loop limit
```
**Important**: When changing `mention_prefix`, also update all workflow files in `.gitea/workflows/`:
- `ai-comment-reply.yml`
- `ai-chat.yml`
- `ai-issue-triage.yml`
Look for: `if: contains(github.event.comment.body, '@codebot')` and update to your new bot name.
Current bot name: `@codebot`
### Environment Variables
Required:
- `AI_REVIEW_API_URL` - Platform API URL
- `AI_REVIEW_TOKEN` - Bot authentication token
- `OPENAI_API_KEY` - OpenAI API key (or provider-specific key)
Optional:
- `SEARXNG_URL` - SearXNG instance for web search
- `OPENROUTER_API_KEY` - OpenRouter API key
- `OLLAMA_HOST` - Ollama server URL
## Workflow Architecture
Workflows are located in `.gitea/workflows/`:
- **ai-review.yml** / **enterprise-ai-review.yml** - Triggered on PR open/sync
- **ai-issue-triage.yml** - Triggered on `@codebot triage` mention in issue comments
- **ai-comment-reply.yml** - Triggered on issue comments with @bot mentions
- **ai-chat.yml** - Triggered on issue comments for chat (non-command mentions)
- **ai-codebase-review.yml** - Scheduled weekly analysis
**Note**: Issue triage is now **opt-in** via `@codebot triage` command, not automatic on issue creation.
Key workflow pattern:
1. Checkout repository
2. Setup Python 3.11
3. Install dependencies (`pip install requests pyyaml`)
4. Set environment variables
5. Run `python main.py <command> <args>`
## Prompt Templates
Prompts are stored in `tools/ai-review/prompts/` as Markdown files:
- `base.md` - Base instructions for all reviews
- `issue_triage.md` - Issue classification template
- `issue_response.md` - Issue response template
**Important**: JSON examples in prompts must use **double curly braces** (`{{` and `}}`) to escape Python's `.format()` method. This is tested in `tests/test_ai_review.py::TestPromptFormatting`.
## Code Patterns
### Creating a New Agent
```python
from agents.base_agent import BaseAgent, AgentContext, AgentResult
class MyAgent(BaseAgent):
def can_handle(self, event_type: str, event_data: dict) -> bool:
# Check if agent is enabled in config
if not self.config.get("agents", {}).get("my_agent", {}).get("enabled", True):
return False
return event_type == "my_event_type"
def execute(self, context: AgentContext) -> AgentResult:
# Load prompt template
prompt = self.load_prompt("my_prompt")
formatted = prompt.format(data=context.event_data.get("field"))
# Call LLM with rate limiting
response = self.call_llm(formatted)
# Post comment to issue/PR
self.upsert_comment(
context.owner,
context.repo,
issue_index,
response.content
)
return AgentResult(
success=True,
message="Agent completed",
actions_taken=["Posted comment"]
)
```
### Calling LLM with Tools
```python
messages = [
{"role": "system", "content": "You are a helpful assistant"},
{"role": "user", "content": "Search for authentication code"}
]
tools = [{
"type": "function",
"function": {
"name": "search_code",
"description": "Search codebase",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"]
}
}
}]
response = self.llm.call_with_tools(messages, tools=tools)
if response.tool_calls:
for tc in response.tool_calls:
result = execute_tool(tc.name, tc.arguments)
messages.append({
"role": "tool",
"tool_call_id": tc.id,
"content": result
})
```
### Adding Security Rules
Edit `tools/ai-review/security/security_scanner.py` or create `security/security_rules.yml`:
```yaml
rules:
- id: SEC018
name: Custom Rule Name
pattern: 'regex_pattern_here'
severity: HIGH # HIGH, MEDIUM, LOW
category: A03:2021 Injection
cwe: CWE-XXX
description: What this detects
recommendation: How to fix it
```
## Testing
The test suite (`tests/test_ai_review.py`) covers:
1. **Prompt Formatting** - Ensures prompts don't have unescaped `{}` that break `.format()`
2. **Module Imports** - Verifies all modules can be imported
3. **Security Scanner** - Tests pattern detection and false positive rate
4. **Agent Context** - Tests dataclass creation and validation
5. **Metrics** - Tests enterprise metrics collection
Run specific test classes:
```bash
pytest tests/test_ai_review.py::TestPromptFormatting -v
pytest tests/test_ai_review.py::TestSecurityScanner -v
```
## Common Development Tasks
### Adding a New Command to @codebot
1. Add command to `config.yml` under `interaction.commands`
2. Add handler method in `IssueAgent` (e.g., `_command_yourcommand()`)
3. Update `_handle_command()` to route the command to your handler
4. Update README.md with command documentation
5. Add tests in `tests/test_ai_review.py`
Example commands:
- `@codebot triage` - Full issue triage with labeling
- `@codebot explain` - Explain the issue
- `@codebot suggest` - Suggest solutions
### Changing the Bot Name
1. Edit `config.yml`: `interaction.mention_prefix: "@newname"`
2. Update all Gitea workflow files in `.gitea/workflows/` (search for `contains(github.event.comment.body`)
3. Update README.md and documentation
### Supporting a New LLM Provider
1. Create provider class in `clients/llm_client.py` inheriting from `BaseLLMProvider`
2. Implement `call()` and optionally `call_with_tools()`
3. Register in `LLMClient.PROVIDERS` dict
4. Add model config to `config.yml`
5. Document in README.md
## Repository Labels
The system expects these labels to exist in repositories for auto-labeling:
- `priority: high`, `priority: medium`, `priority: low`
- `type: bug`, `type: feature`, `type: question`, `type: documentation`
- `ai-approved`, `ai-changes-required`, `ai-reviewed`
Labels are mapped in `config.yml` under the `labels` section.

118
README.md
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@@ -1,6 +1,6 @@
# OpenRabbit # OpenRabbit
Enterprise-grade AI code review system for **GitHub** and **Gitea** with automated PR review, issue triage, interactive chat (Bartender), and codebase analysis. Enterprise-grade AI code review system for **Gitea** with automated PR review, issue triage, interactive chat, and codebase analysis.
--- ---
@@ -9,13 +9,13 @@ Enterprise-grade AI code review system for **GitHub** and **Gitea** with automat
| Feature | Description | | Feature | Description |
|---------|-------------| |---------|-------------|
| **PR Review** | Inline comments, security scanning, severity-based CI failure | | **PR Review** | Inline comments, security scanning, severity-based CI failure |
| **Issue Triage** | Auto-classification, labeling, priority assignment | | **Issue Triage** | On-demand classification, labeling, priority assignment via `@codebot triage` |
| **Chat (Bartender)** | Interactive AI chat with codebase search and web search tools | | **Chat** | Interactive AI chat with codebase search and web search tools |
| **@ai-bot Commands** | `@ai-bot summarize`, `explain`, `suggest` in issue comments | | **@codebot Commands** | `@codebot summarize`, `explain`, `suggest`, `triage` in issue comments |
| **Codebase Analysis** | Health scores, tech debt tracking, weekly reports | | **Codebase Analysis** | Health scores, tech debt tracking, weekly reports |
| **Security Scanner** | 17 OWASP-aligned rules for vulnerability detection | | **Security Scanner** | 17 OWASP-aligned rules for vulnerability detection |
| **Enterprise Ready** | Audit logging, metrics, Prometheus export | | **Enterprise Ready** | Audit logging, metrics, Prometheus export |
| **Multi-Platform** | Works with both GitHub and Gitea | | **Gitea Native** | Built for Gitea workflows and API |
--- ---
@@ -38,49 +38,14 @@ The built-in `GITHUB_TOKEN` is used automatically.
### 2. Add Workflows to Repository ### 2. Add Workflows to Repository
Workflows are provided for both platforms: Workflows are located in `.gitea/workflows/`.
| Platform | Location |
|----------|----------|
| GitHub | `.github/workflows/` |
| Gitea | `.gitea/workflows/` |
#### GitHub Example
```yaml
# .github/workflows/ai-review.yml
name: AI PR Review
on: [pull_request]
jobs:
ai-review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install requests pyyaml
- name: Run AI Review
env:
AI_REVIEW_TOKEN: ${{ secrets.GITHUB_TOKEN }}
AI_REVIEW_REPO: ${{ github.repository }}
AI_REVIEW_API_URL: https://api.github.com
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
cd tools/ai-review
python main.py pr ${{ github.repository }} ${{ github.event.pull_request.number }}
```
#### Gitea Example #### Gitea Example
#### Gitea PR Review Workflow
```yaml ```yaml
# .gitea/workflows/ai-review.yml # .gitea/workflows/enterprise-ai-review.yml
name: AI PR Review name: AI PR Review
on: [pull_request] on: [pull_request]
@@ -115,7 +80,7 @@ jobs:
python main.py pr ${{ gitea.repository }} ${{ gitea.event.pull_request.number }} python main.py pr ${{ gitea.repository }} ${{ gitea.event.pull_request.number }}
``` ```
For full workflow examples, see [Workflows Documentation](docs/workflows.md). See `.gitea/workflows/` for all workflow examples.
### 3. Create Labels ### 3. Create Labels
@@ -132,10 +97,10 @@ Create these labels in your repository for auto-labeling:
tools/ai-review/ tools/ai-review/
├── agents/ # Agent implementations ├── agents/ # Agent implementations
│ ├── base_agent.py # Abstract base agent │ ├── base_agent.py # Abstract base agent
│ ├── issue_agent.py # Issue triage & @ai-bot commands │ ├── issue_agent.py # Issue triage & @codebot commands
│ ├── pr_agent.py # PR review with security scan │ ├── pr_agent.py # PR review with security scan
│ ├── codebase_agent.py # Codebase health analysis │ ├── codebase_agent.py # Codebase health analysis
│ └── chat_agent.py # Bartender chat with tool calling │ └── chat_agent.py # Interactive chat with tool calling
├── clients/ # API clients ├── clients/ # API clients
│ ├── gitea_client.py # Gitea REST API wrapper │ ├── gitea_client.py # Gitea REST API wrapper
│ └── llm_client.py # Multi-provider LLM client with tool support │ └── llm_client.py # Multi-provider LLM client with tool support
@@ -152,8 +117,8 @@ tools/ai-review/
├── ai-review.yml # PR review workflow ├── ai-review.yml # PR review workflow
├── ai-issue-triage.yml # Issue triage workflow ├── ai-issue-triage.yml # Issue triage workflow
├── ai-codebase-review.yml # Codebase analysis ├── ai-codebase-review.yml # Codebase analysis
├── ai-comment-reply.yml # @ai-bot command responses ├── ai-comment-reply.yml # @codebot command responses
└── ai-chat.yml # Bartender chat └── ai-chat.yml # Interactive AI chat
.gitea/workflows/ # Gitea Actions workflows .gitea/workflows/ # Gitea Actions workflows
├── enterprise-ai-review.yml ├── enterprise-ai-review.yml
@@ -174,35 +139,36 @@ python main.py pr owner/repo 123
# Triage an issue # Triage an issue
python main.py issue owner/repo 456 python main.py issue owner/repo 456
# Respond to @ai-bot command # Respond to @codebot command
python main.py comment owner/repo 456 "@ai-bot explain" python main.py comment owner/repo 456 "@codebot explain"
# Analyze codebase # Analyze codebase
python main.py codebase owner/repo python main.py codebase owner/repo
# Chat with Bartender # Chat with the AI bot
python main.py chat owner/repo "How does authentication work?" python main.py chat owner/repo "How does authentication work?"
python main.py chat owner/repo "Find all API endpoints" --issue 789 python main.py chat owner/repo "Find all API endpoints" --issue 789
``` ```
--- ---
## @ai-bot Commands ## @codebot Commands
In any issue comment: In any issue comment:
| Command | Description | | Command | Description |
|---------|-------------| |---------|-------------|
| `@ai-bot summarize` | Summarize the issue in 2-3 sentences | | `@codebot triage` | Full issue triage with auto-labeling and analysis |
| `@ai-bot explain` | Explain what the issue is about | | `@codebot summarize` | Summarize the issue in 2-3 sentences |
| `@ai-bot suggest` | Suggest solutions or next steps | | `@codebot explain` | Explain what the issue is about |
| `@ai-bot` (any question) | Chat with Bartender using codebase/web search | | `@codebot suggest` | Suggest solutions or next steps |
| `@codebot` (any question) | Chat with AI using codebase/web search tools |
--- ---
## Bartender Chat ## Interactive Chat
Bartender is an interactive AI assistant with tool-calling capabilities: The chat agent is an interactive AI assistant with tool-calling capabilities:
**Tools Available:** **Tools Available:**
- `search_codebase` - Search repository files and code - `search_codebase` - Search repository files and code
@@ -211,10 +177,10 @@ Bartender is an interactive AI assistant with tool-calling capabilities:
**Example:** **Example:**
``` ```
@ai-bot How do I configure rate limiting in this project? @codebot How do I configure rate limiting in this project?
``` ```
Bartender will search the codebase, read relevant files, and provide a comprehensive answer. The bot will search the codebase, read relevant files, and provide a comprehensive answer.
--- ---
@@ -242,12 +208,11 @@ agents:
enabled: true enabled: true
chat: chat:
enabled: true enabled: true
name: "Bartender"
searxng_url: "" # Or set SEARXNG_URL env var searxng_url: "" # Or set SEARXNG_URL env var
interaction: interaction:
respond_to_mentions: true respond_to_mentions: true
mention_prefix: "@ai-bot" # Customize your bot name here! mention_prefix: "@codebot" # Customize your bot name here!
commands: commands:
- summarize - summarize
- explain - explain
@@ -258,34 +223,25 @@ interaction:
## Customizing the Bot Name ## Customizing the Bot Name
You can change the bot's mention trigger from `@ai-bot` to any name you prefer: The default bot name is `@codebot`. To change it:
**Step 1:** Edit `tools/ai-review/config.yml`: **Step 1:** Edit `tools/ai-review/config.yml`:
```yaml ```yaml
interaction: interaction:
mention_prefix: "@bartender" # or "@uni", "@joey", "@codebot", etc. mention_prefix: "@yourname" # e.g., "@assistant", "@reviewer", etc.
``` ```
**Step 2:** Update the workflow files to match: **Step 2:** Update all workflow files in `.gitea/workflows/`:
- `ai-comment-reply.yml`
- `ai-chat.yml`
- `ai-issue-triage.yml`
For GitHub (`.github/workflows/ai-comment-reply.yml` and `ai-chat.yml`): Look for and update:
```yaml ```yaml
if: contains(github.event.comment.body, '@bartender') if: contains(github.event.comment.body, '@codebot')
``` ```
For Gitea (`.gitea/workflows/ai-comment-reply.yml` and `ai-chat.yml`): Change `@codebot` to your new bot name.
```yaml
if: contains(github.event.comment.body, '@bartender')
```
**Example bot names:**
| Name | Use Case |
|------|----------|
| `@bartender` | Friendly, conversational |
| `@uni` | Short, quick to type |
| `@joey` | Personal assistant feel |
| `@codebot` | Technical, code-focused |
| `@reviewer` | Review-focused |
--- ---

20
docs/agents.md
View File

@@ -28,9 +28,9 @@ Handles issue triage, classification, and interaction.
| Command | Description | | Command | Description |
|---------|-------------| |---------|-------------|
| `@ai-bot summarize` | Generate concise summary | | `@codebot summarize` | Generate concise summary |
| `@ai-bot explain` | Detailed explanation | | `@codebot explain` | Detailed explanation |
| `@ai-bot suggest` | Solution suggestions | | `@codebot suggest` | Solution suggestions |
### Output ### Output
@@ -127,7 +127,7 @@ Repository-wide quality and health analysis.
- `schedule` - Cron schedule (default: weekly) - `schedule` - Cron schedule (default: weekly)
- `workflow_dispatch` - Manual trigger - `workflow_dispatch` - Manual trigger
- `@ai-bot codebase` - Comment command - `@codebot codebase` - Comment command
### Features ### Features
@@ -184,13 +184,13 @@ Missing docstrings in 15 functions.
--- ---
## Chat Agent (Bartender) ## Chat Agent (Interactive Chat Agent)
Interactive AI chat assistant with tool-calling capabilities. Interactive AI chat assistant with tool-calling capabilities.
### Triggers ### Triggers
- `issue_comment.created` - Any @ai-bot mention that isn't a specific command - `issue_comment.created` - Any @codebot mention that isn't a specific command
- `chat` - Direct CLI invocation - `chat` - Direct CLI invocation
### Features ### Features
@@ -219,7 +219,7 @@ The Chat Agent uses LLM function calling to gather information before responding
agents: agents:
chat: chat:
enabled: true enabled: true
name: "Bartender" name: "CodeBot"
max_iterations: 5 max_iterations: 5
tools: tools:
- search_codebase - search_codebase
@@ -241,9 +241,9 @@ python main.py chat owner/repo "Explain this bug" --issue 123
### Issue Comment Usage ### Issue Comment Usage
``` ```
@ai-bot How do I configure rate limiting? @codebot How do I configure rate limiting?
@ai-bot Find all files that handle user authentication @codebot Find all files that handle user authentication
@ai-bot What does the dispatcher module do? @codebot What does the dispatcher module do?
``` ```
### Output ### Output

8
docs/configuration.md
View File

@@ -67,13 +67,13 @@ agents:
schedule: "0 0 * * 0" # Cron schedule (weekly) schedule: "0 0 * * 0" # Cron schedule (weekly)
``` ```
### Chat Agent (Bartender) ### Chat Agent (Interactive Chat Agent)
```yaml ```yaml
agents: agents:
chat: chat:
enabled: true enabled: true
name: "Bartender" # Display name for the bot name: "CodeBot" # Display name for the bot
max_iterations: 5 # Max tool calls per chat max_iterations: 5 # Max tool calls per chat
tools: tools:
- search_codebase # Search repository files - search_codebase # Search repository files
@@ -103,7 +103,7 @@ interaction:
``` ```
**Example bot names:** **Example bot names:**
- `@ai-bot` - Default, generic - `@codebot` - Default, generic
- `@bartender` - Friendly, conversational - `@bartender` - Friendly, conversational
- `@uni` - Short, quick to type - `@uni` - Short, quick to type
- `@joey` - Personal assistant - `@joey` - Personal assistant
@@ -112,7 +112,7 @@ interaction:
```yaml ```yaml
interaction: interaction:
respond_to_mentions: true respond_to_mentions: true
mention_prefix: "@ai-bot" mention_prefix: "@codebot"
commands: commands:
- explain # Explain code/issue - explain # Explain code/issue
- suggest # Suggest solutions - suggest # Suggest solutions

10
docs/getting-started.md
View File

@@ -51,7 +51,7 @@ mkdir -p .gitea/workflows
| File | Trigger | Purpose | | File | Trigger | Purpose |
|------|---------|---------| |------|---------|---------|
| `enterprise-ai-review.yml` | PR opened/updated | Run AI code review | | `enterprise-ai-review.yml` | PR opened/updated | Run AI code review |
| `ai-issue-review.yml` | Issue opened, @ai-bot | Triage issues & respond to commands | | `ai-issue-review.yml` | Issue opened, @codebot | Triage issues & respond to commands |
| `ai-codebase-review.yml` | Weekly/manual | Analyze codebase health | | `ai-codebase-review.yml` | Weekly/manual | Analyze codebase health |
--- ---
@@ -89,8 +89,8 @@ Create these labels in your repository for auto-labeling:
1. Create a new issue 1. Create a new issue
2. The AI should automatically triage and comment 2. The AI should automatically triage and comment
### Test @ai-bot Commands: ### Test @codebot Commands:
1. On any issue, comment: `@ai-bot summarize` 1. On any issue, comment: `@codebot summarize`
2. The AI should respond with a summary 2. The AI should respond with a summary
--- ---
@@ -126,8 +126,8 @@ python main.py pr owner/repo 123
# Triage a new issue # Triage a new issue
python main.py issue owner/repo 456 python main.py issue owner/repo 456
# Handle @ai-bot command in comment # Handle @codebot command in comment
python main.py comment owner/repo 456 "@ai-bot summarize" python main.py comment owner/repo 456 "@codebot summarize"
# Analyze codebase # Analyze codebase
python main.py codebase owner/repo python main.py codebase owner/repo

4
docs/troubleshooting.md
View File

@@ -140,7 +140,7 @@ env:
2. Verify token has `issue:write` permission 2. Verify token has `issue:write` permission
3. Check workflow logs for API errors 3. Check workflow logs for API errors
### @ai-bot edits the issue instead of replying ### @codebot edits the issue instead of replying
**Causes:** **Causes:**
- Workflow is using the wrong CLI command for comments - Workflow is using the wrong CLI command for comments
@@ -149,7 +149,7 @@ env:
**Solutions:** **Solutions:**
1. Ensure your workflow uses the `comment` command for mentions: 1. Ensure your workflow uses the `comment` command for mentions:
```yaml ```yaml
python main.py comment owner/repo 123 "@ai-bot ..." python main.py comment owner/repo 123 "@codebot ..."
``` ```
2. Verify you have separate jobs for `issues` vs `issue_comment` events (see [Workflows](workflows.md)) 2. Verify you have separate jobs for `issues` vs `issue_comment` events (see [Workflows](workflows.md))

32
docs/workflows.md
View File

@@ -1,21 +1,23 @@
# Workflows # Workflows
This document provides ready-to-use workflow files for integrating AI code review into your repositories. Workflows are provided for both **GitHub Actions** and **Gitea Actions**. This document provides ready-to-use workflow files for integrating AI code review into your Gitea repositories.
--- ---
## Platform Comparison ## Gitea Workflows Overview
| Feature | GitHub | Gitea | | Feature | Configuration |
|---------|--------|-------| |---------|--------------|
| Context variable | `github.*` | `gitea.*` | | Context variable | `gitea.*` |
| Default token | `GITHUB_TOKEN` | `AI_REVIEW_TOKEN` (custom) | | Token | `AI_REVIEW_TOKEN` (custom secret) |
| API URL | `https://api.github.com` | Your Gitea instance URL | | API URL | Your Gitea instance URL (e.g., `https://git.example.com/api/v1`) |
| Tools location | Same repo (`tools/ai-review`) | Checkout from central repo | | Tools location | Checkout from central OpenRabbit repo |
All workflows are located in `.gitea/workflows/` directory.
--- ---
## GitHub Workflows ## Gitea Workflows
### PR Review Workflow ### PR Review Workflow
@@ -99,7 +101,7 @@ on:
jobs: jobs:
ai-reply: ai-reply:
runs-on: ubuntu-latest runs-on: ubuntu-latest
if: contains(github.event.comment.body, '@ai-bot') if: contains(github.event.comment.body, '@codebot')
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
@@ -256,7 +258,7 @@ on:
jobs: jobs:
ai-reply: ai-reply:
runs-on: ubuntu-latest runs-on: ubuntu-latest
if: contains(github.event.comment.body, '@ai-bot') if: contains(github.event.comment.body, '@codebot')
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
@@ -377,13 +379,13 @@ AI_REVIEW_API_URL: https://your-gitea.example.com/api/v1
## Chat/Bartender Workflow ## Chat/Bartender Workflow
Both platforms support the Bartender chat agent through the comment reply workflow. When `@ai-bot` is mentioned with a question (not a specific command like `summarize`), the Chat Agent handles it with tool calling capabilities. Both platforms support the Bartender chat agent through the comment reply workflow. When `@codebot` is mentioned with a question (not a specific command like `summarize`), the Chat Agent handles it with tool calling capabilities.
To enable web search, set the `SEARXNG_URL` secret to your SearXNG instance URL. To enable web search, set the `SEARXNG_URL` secret to your SearXNG instance URL.
**Example usage:** **Example usage:**
``` ```
@ai-bot How do I configure rate limiting? @codebot How do I configure rate limiting?
@ai-bot Find all authentication-related files @codebot Find all authentication-related files
@ai-bot What does the dispatcher module do? @codebot What does the dispatcher module do?
``` ```

52
tools/ai-review/agents/codebase_agent.py
View File

@@ -96,7 +96,9 @@ class CodebaseAgent(BaseAgent):
def execute(self, context: AgentContext) -> AgentResult: def execute(self, context: AgentContext) -> AgentResult:
"""Execute codebase analysis.""" """Execute codebase analysis."""
self.logger.info(f"Starting codebase analysis for {context.owner}/{context.repo}") self.logger.info(
f"Starting codebase analysis for {context.owner}/{context.repo}"
)
actions_taken = [] actions_taken = []
@@ -192,7 +194,7 @@ class CodebaseAgent(BaseAgent):
# Check for docstrings (Python) # Check for docstrings (Python)
if ext == ".py": if ext == ".py":
if 'def ' in content and '"""' not in content: if "def " in content and '"""' not in content:
metrics.missing_docstrings += 1 metrics.missing_docstrings += 1
except Exception as e: except Exception as e:
@@ -273,23 +275,45 @@ Be constructive and actionable. Focus on the most impactful improvements.
) )
except Exception as e: except Exception as e:
self.logger.error(f"AI analysis failed: {e}") self.logger.error(f"AI analysis failed: {e}")
# Try to log the raw response if possible (requires accessing the last response) self.logger.debug(f"Full error details: {type(e).__name__}: {str(e)}")
# Since we don't have direct access here, we rely on having good logging in LLMClient if needed.
# But let's add a note to the summary.
# Calculate basic health score from metrics # Calculate basic health score from metrics
health_score = 70 health_score = 70
if metrics.todo_count > 10: if metrics.todo_count > 10:
health_score -= 10 health_score -= 10
if metrics.fixme_count > 5: if metrics.fixme_count > 5:
health_score -= 10 health_score -= 10
if metrics.deprecated_count > 3:
health_score -= 5
# Build recommendations based on metrics
recommendations = []
if metrics.todo_count > 5:
recommendations.append(
f"Review and address {metrics.todo_count} TODO comments"
)
if metrics.fixme_count > 0:
recommendations.append(
f"Review and fix {metrics.fixme_count} FIXME markers"
)
if metrics.deprecated_count > 0:
recommendations.append(
f"Update {metrics.deprecated_count} deprecated code sections"
)
if metrics.missing_docstrings > 5:
recommendations.append("Consider adding more documentation")
if not recommendations:
recommendations.append("Codebase appears well-maintained")
return CodebaseReport( return CodebaseReport(
summary=f"Basic analysis complete (AI unavailable: {e})", summary=f"Basic metrics analysis complete. {metrics.total_files} files analyzed across {len(metrics.languages)} languages.",
health_score=health_score, health_score=health_score,
metrics=metrics, metrics=metrics,
issues=[], issues=[],
recommendations=["Manual review recommended"], recommendations=recommendations,
architecture_notes=[], architecture_notes=[
f"Primary languages: {', '.join(list(metrics.languages.keys())[:3])}"
],
) )
def _get_key_files_content( def _get_key_files_content(
@@ -386,7 +410,11 @@ Be constructive and actionable. Focus on the most impactful improvements.
def _generate_report_body(self, report: CodebaseReport) -> str: def _generate_report_body(self, report: CodebaseReport) -> str:
"""Generate the report issue body.""" """Generate the report issue body."""
health_emoji = "🟢" if report.health_score >= 80 else ("🟡" if report.health_score >= 60 else "🔴") health_emoji = (
"🟢"
if report.health_score >= 80
else ("🟡" if report.health_score >= 60 else "🔴")
)
lines = [ lines = [
f"{self.AI_DISCLAIMER}", f"{self.AI_DISCLAIMER}",
@@ -427,7 +455,11 @@ Be constructive and actionable. Focus on the most impactful improvements.
lines.append("") lines.append("")
for issue in report.issues[:10]: for issue in report.issues[:10]:
severity = issue.get("severity", "MEDIUM") severity = issue.get("severity", "MEDIUM")
emoji = "🔴" if severity == "HIGH" else ("🟡" if severity == "MEDIUM" else "🟢") emoji = (
"🔴"
if severity == "HIGH"
else ("🟡" if severity == "MEDIUM" else "🟢")
)
lines.append(f"### [{severity}] {issue.get('category', 'General')}") lines.append(f"### [{severity}] {issue.get('category', 'General')}")
lines.append("") lines.append("")
lines.append(issue.get("description", "")) lines.append(issue.get("description", ""))

36
tools/ai-review/agents/issue_agent.py
View File

@@ -262,9 +262,7 @@ class IssueAgent(BaseAgent):
if labels_to_add: if labels_to_add:
try: try:
self.gitea.add_issue_labels(owner, repo, issue_index, labels_to_add) self.gitea.add_issue_labels(owner, repo, issue_index, labels_to_add)
return [ return [name for name, id in label_map.items() if id in labels_to_add]
name for name, id in label_map.items() if id in labels_to_add
]
except Exception as e: except Exception as e:
self.logger.warning(f"Failed to add labels: {e}") self.logger.warning(f"Failed to add labels: {e}")
@@ -336,6 +334,8 @@ class IssueAgent(BaseAgent):
return self._command_explain(title, body) return self._command_explain(title, body)
elif command == "suggest": elif command == "suggest":
return self._command_suggest(title, body) return self._command_suggest(title, body)
elif command == "triage":
return self._command_triage(context, issue)
return f"{self.AI_DISCLAIMER}\n\nSorry, I don't understand the command `{command}`." return f"{self.AI_DISCLAIMER}\n\nSorry, I don't understand the command `{command}`."
@@ -390,3 +390,33 @@ Be practical and concise."""
return f"{self.AI_DISCLAIMER}\n\n**Suggestions:**\n{response.content}" return f"{self.AI_DISCLAIMER}\n\n**Suggestions:**\n{response.content}"
except Exception as e: except Exception as e:
return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to generate suggestions. Error: {e}" return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to generate suggestions. Error: {e}"
def _command_triage(self, context: AgentContext, issue: dict) -> str:
"""Perform full triage analysis on the issue."""
title = issue.get("title", "")
body = issue.get("body", "")
author = issue.get("user", {}).get("login", "unknown")
existing_labels = [l.get("name", "") for l in issue.get("labels", [])]
issue_index = issue.get("number")
try:
# Perform triage analysis
triage = self._triage_issue(title, body, author, existing_labels)
# Apply labels if enabled
agent_config = self.config.get("agents", {}).get("issue", {})
labels_applied = []
if agent_config.get("auto_label", True):
labels_applied = self._apply_labels(
context.owner, context.repo, issue_index, triage
)
# Generate response
response = self._generate_triage_comment(triage, issue)
if labels_applied:
response += f"\n\n**Labels Applied:** {', '.join(labels_applied)}"
return response
except Exception as e:
return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to triage this issue. Error: {e}"

55
tools/ai-review/clients/llm_client.py
View File

@@ -346,7 +346,9 @@ class LLMClient:
config: Provider-specific configuration. config: Provider-specific configuration.
""" """
if provider not in self.PROVIDERS: if provider not in self.PROVIDERS:
raise ValueError(f"Unknown provider: {provider}. Available: {list(self.PROVIDERS.keys())}") raise ValueError(
f"Unknown provider: {provider}. Available: {list(self.PROVIDERS.keys())}"
)
self.provider_name = provider self.provider_name = provider
self.config = config or {} self.config = config or {}
@@ -405,6 +407,8 @@ class LLMClient:
Handles markdown code blocks and preamble text. Handles markdown code blocks and preamble text.
""" """
import re
content = content.strip() content = content.strip()
# Attempt 1: direct parse # Attempt 1: direct parse
@@ -413,16 +417,24 @@ class LLMClient:
except json.JSONDecodeError: except json.JSONDecodeError:
pass pass
# Attempt 2: Extract from markdown code blocks # Attempt 2: Extract from markdown code blocks (improved regex)
if "```" in content: if "```" in content:
# Find the JSON block # Try multiple code block patterns
import re patterns = [
match = re.search(r"```(?:json)?\s*([\s\S]*?)\s*```", content) r"```json\s*\n([\s\S]*?)\n```", # ```json with newlines
if match: r"```json\s*([\s\S]*?)```", # ```json without newlines
try: r"```\s*\n([\s\S]*?)\n```", # ``` with newlines
return json.loads(match.group(1)) r"```\s*([\s\S]*?)```", # ``` without newlines
except json.JSONDecodeError: ]
pass
for pattern in patterns:
match = re.search(pattern, content)
if match:
try:
json_str = match.group(1).strip()
return json.loads(json_str)
except json.JSONDecodeError:
continue
# Attempt 3: Find first { and last } # Attempt 3: Find first { and last }
try: try:
@@ -435,17 +447,22 @@ class LLMClient:
pass pass
# Attempt 4: Fix common JSON errors (comments, trailing commas) # Attempt 4: Fix common JSON errors (comments, trailing commas)
# This is risky but helpful for LLM output
try: try:
# Remove comments # Remove comments
import re
json_str = re.sub(r"//.*", "", content) json_str = re.sub(r"//.*", "", content)
json_str = re.sub(r"/\*[\s\S]*?\*/", "", json_str) json_str = re.sub(r"/\*[\s\S]*?\*/", "", json_str)
return json.loads(json_str) # Try to extract JSON after cleaning
except json.JSONDecodeError as e: start = json_str.find("{")
# If all attempts fail, raise an error with the content for debugging end = json_str.rfind("}")
snippet = content[:500] + "..." if len(content) > 500 else content if start != -1 and end != -1:
raise ValueError(f"Failed to parse JSON response: {e}. Raw content snippet: {snippet!r}") json_str = json_str[start : end + 1]
return json.loads(json_str)
except json.JSONDecodeError:
pass
# If all attempts fail, raise an error with the content for debugging
snippet = content[:500] + "..." if len(content) > 500 else content
raise ValueError(f"Failed to parse JSON response: {snippet!r}")
@classmethod @classmethod
def from_config(cls, config: dict) -> "LLMClient": def from_config(cls, config: dict) -> "LLMClient":
@@ -469,7 +486,9 @@ class LLMClient:
} }
elif provider == "openrouter": elif provider == "openrouter":
provider_config = { provider_config = {
"model": config.get("model", {}).get("openrouter", "anthropic/claude-3.5-sonnet"), "model": config.get("model", {}).get(
"openrouter", "anthropic/claude-3.5-sonnet"
),
"temperature": config.get("temperature", 0), "temperature": config.get("temperature", 0),
"max_tokens": config.get("max_tokens", 16000), "max_tokens": config.get("max_tokens", 16000),
} }

129
tools/ai-review/config.yml
View File

@@ -1,49 +1,49 @@
provider: openai # openai | openrouter | ollama provider: openai # openai | openrouter | ollama
model: model:
openai: gpt-4.1-mini openai: gpt-4.1-mini
openrouter: anthropic/claude-3.5-sonnet openrouter: anthropic/claude-3.5-sonnet
ollama: codellama:13b ollama: codellama:13b
temperature: 0 temperature: 0
max_tokens: 4096 max_tokens: 4096
# Review settings # Review settings
review: review:
fail_on_severity: HIGH fail_on_severity: HIGH
max_diff_lines: 800 max_diff_lines: 800
inline_comments: true inline_comments: true
security_scan: true security_scan: true
# Agent settings # Agent settings
agents: agents:
issue: issue:
enabled: true enabled: true
auto_label: true auto_label: true
auto_triage: true auto_triage: true
duplicate_threshold: 0.85 duplicate_threshold: 0.85
events: events:
- opened - opened
- labeled - labeled
pr: pr:
enabled: true enabled: true
inline_comments: true inline_comments: true
security_scan: true security_scan: true
events: events:
- opened - opened
- synchronize - synchronize
codebase: codebase:
enabled: true enabled: true
schedule: "0 0 * * 0" # Weekly on Sunday schedule: "0 0 * * 0" # Weekly on Sunday
chat: chat:
enabled: true enabled: true
name: "Bartender" name: "Bartender"
max_iterations: 5 # Max tool call iterations per chat max_iterations: 5 # Max tool call iterations per chat
tools: tools:
- search_codebase - search_codebase
- read_file - read_file
- search_web - search_web
searxng_url: "" # Set via SEARXNG_URL env var or here searxng_url: "" # Set via SEARXNG_URL env var or here
# Interaction settings # Interaction settings
# CUSTOMIZE YOUR BOT NAME HERE! # CUSTOMIZE YOUR BOT NAME HERE!
@@ -56,41 +56,42 @@ agents:
# NOTE: Also update the workflow files (.github/workflows/ or .gitea/workflows/) # NOTE: Also update the workflow files (.github/workflows/ or .gitea/workflows/)
# to match this prefix in the 'if: contains(...)' condition # to match this prefix in the 'if: contains(...)' condition
interaction: interaction:
respond_to_mentions: true respond_to_mentions: true
mention_prefix: "@bartender" # Change this to customize your bot's name! mention_prefix: "@codebot" # Change this to customize your bot's name!
commands: commands:
- explain - explain
- suggest - suggest
- security - security
- summarize - summarize
- triage
# Enterprise settings # Enterprise settings
enterprise: enterprise:
audit_log: true audit_log: true
audit_path: "/var/log/ai-review/" audit_path: "/var/log/ai-review/"
metrics_enabled: true metrics_enabled: true
rate_limit: rate_limit:
requests_per_minute: 30 requests_per_minute: 30
max_concurrent: 4 max_concurrent: 4
# Label mappings for auto-labeling # Label mappings for auto-labeling
labels: labels:
priority: priority:
high: "priority: high" high: "priority: high"
medium: "priority: medium" medium: "priority: medium"
low: "priority: low" low: "priority: low"
type: type:
bug: "type: bug" bug: "type: bug"
feature: "type: feature" feature: "type: feature"
question: "type: question" question: "type: question"
docs: "type: documentation" docs: "type: documentation"
status: status:
ai_approved: "ai-approved" ai_approved: "ai-approved"
ai_changes_required: "ai-changes-required" ai_changes_required: "ai-changes-required"
ai_reviewed: "ai-reviewed" ai_reviewed: "ai-reviewed"
# Security scanning rules # Security scanning rules
security: security:
enabled: true enabled: true
fail_on_high: true fail_on_high: true
rules_file: "security/security_rules.yml" rules_file: "security/security_rules.yml"