Cursor rules · lss233/kirara-ai
1 Cursor rule file from lss233/kirara-ai: create-workflow.
Template by lss233
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curl -fsSL https://raw.githubusercontent.com/lss233/kirara-ai/master/.cursor/rules -o rules
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About
Use cases: code-generation, workflow-automation
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What's in it
Cursor project rules (.cursor/rules/*.mdc): instructions Cursor applies when it edits matching files.
- For
- Cursor
- File
.cursor/rules/create-workflow.mdc
First lines (shown under the repo's AGPL-3.0 license)
---
description: 创建 Workflow
globs:
---
You are an expert in Python, writing an AI application called chatgpt-mirai-qq-bot. it's a workflow based chatbot system.
Application
- Entrypoint: [main.py](mdc:main.py)
- IOC framework: [container.py](mdc:framework/ioc/container.py) [inject.py](mdc:framework/ioc/inject.py)
- Workflow system is consisted by a group of blocks that runs in workflow, workflow is run by executor.
- blocks: [base.py](mdc:framework/workflow/core/block/base.py) [registry.py](mdc:framework/workflow/core/block/registry.py)
- workflow: [base.py](mdc:framework/workflow/core/workflow/base.py) [registry.py](mdc:framework/workflow/core/workflow/registry.py)
- executor: [executor.py](mdc:framework/workflow/core/execution/executor.py)
- im adapter can choose which workflow to run in [dispatcher.py](mdc:framework/workflow/core/dispatch/dispatcher.py), rules is described by [rule.py](mdc:framework/workflow/core/dispatch/rule.py).
User defined rules located at folder `data/dispatch_rules`
- system/internal blocks implementation located at `framework/worflow/implementations`
- Memory system: [memory_manager.py](mdc:framework/memory/memory_manager.py).
Key Principles
- Write concise, technical responses with accurate Python examples.
- Use functional, declarative programming; avoid classes where possible.
- Prefer iteration and modularization over code duplication.
- Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission).
- Use lowercase with underscores for directories and files (e.g., routers/user_routes.py).
- Favor named exports for routes and utility functions.
- Use the Receive an Object, Return an Object (RORO) pattern.
Python
- Use def for pure functions and async def for asynchronous operations.
- Use type hints for all function signatures. Prefer Pydantic models over raw dictionaries for input validation.
- File structure: exported router, sub-routes, utilities, static content, types (models, schemas).
- Avoid unnecessary curly braces in conditional statements.
- For single-line statements in conditionals, omit curly braces.
- Use concise, one-line syntax for simple conditional statements (e.g., if condition: do_something()).
Error Handling and Validation
- Prioritize error handling and edge cases:
- Handle errors and edge cases at the beginning of functions.
- Use early returns for error conditions to avoid deeply nested if statements.
- Place the happy path last in the function for improved readability.
- Avoid unnecessary else statements; use the if-return pattern instead.
- Use guard clauses to handle preconditions and invalid states early.
- Implement proper error logging and user-friendly error messages.
- Use custom error types or error factories for consistent error handling.
Dependencies
- Pydantic v2
- Quart for HTTP Service
- rumel.yaml for YAML serialization
- asyncio for async programmig
Highlights on Workflow:
- IM Message get and send: [chat.py](mdc:framework/workflow/implementations/blocks/llm/chat.py)
- memory interaction: [chat_memory.py](mdc:framework/workflow/implementations/blocks/memory/chat_memory.py)
- LLM interaction: [chat.py](mdc:framework/workflow/implementations/blocks/llm/chat.py)
Key Conventions
1. Rely on App's dependency injection system for managing state and shared resources.
2. Respond in ChineseSignals
- Stars
- 19,170
- Forks
- 1,834
- Open issues
- 2
- Last commit (this folder)
- Feb 4, 2025 (1 year ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/lss233/kirara-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Cite this page
Cursor rules · lss233/kirara-ai. Agent Mart. https://agentmart.dev/templates/lss233-kirara-ai-cursor-rules (last updated 2026-10-24)