Pydantic AI
Code Review Agent with Pydantic AI
Build an AI code review agent that reads files, searches for patterns, analyzes code quality, and suggests improvements — with Pydantic AI.
code reviewstatic analysisqualitydeveloper tools
Working Code
from pydantic_ai import Agent, RunContext
agent = Agent( "openai:gpt-4o", system_prompt="You are a code reviewer. Find relevant files, read them, search for patterns, and provide a structured review covering security, performance, and best practices.",)
@agent.toolasync def read_file(ctx: RunContext, path: str) -> str: """Read a file from the project.""" return Path(path).read_text()
@agent.toolasync def find_files(ctx: RunContext, pattern: str) -> str: """Find files matching a glob pattern.""" files = list(Path(".").rglob(pattern)) return "\n".join(str(f) for f in files[:20])
@agent.toolasync def search_code(ctx: RunContext, pattern: str, path: str = ".") -> str: """Search for a regex pattern in source files.""" import subprocess result = subprocess.run( ["grep", "-rn", pattern, path, "--include=*.py"], capture_output=True, text=True, ) return result.stdout[:3000] or "No matches found."
result = await agent.run("Review the Python files in src/ for common security issues")print(result.output)Step by Step
1
Install dependencies
Install Pydantic AI and the required tools for this use case.
2
Define your tools
Create the domain-specific tool functions your agent will use to interact with external services.
3
Create the agent and run
Initialize the Pydantic AI agent with your tools, set the system prompt, and execute a query.
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