refactor: reorganize into monorepo with separate subprojects
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Structure webber into three independent subprojects:
- webber-api/: FastAPI backend server with all agent code
- webber-cli/: Standalone CLI client (renamed from cli/ to webber_cli/)
- webber-sandbox/: Test project for functional testing

Key changes:
- Each subproject has its own .venv (Python 3.12+)
- Added sandbox.sh for managing test project templates
- Created sandbox-templates/ with calculator-cli and empty starter
- Updated CI/CD for prefixed tags (api/v*, cli/v*)
- Added comprehensive AGENTS.md with operational instructions
- Added gitignore filtering to glob and grep tools
- Created pyproject.toml for each subproject

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-10 10:37:47 +01:00
co-authored by Claude Opus 4.5
parent f4e8552298
commit 3b58fa4f8b
121 changed files with 2034 additions and 284 deletions
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"""
Explore Agent - Fast codebase exploration.
"""
from src.domains.agents.explore.agent import (
ExploreAgentImpl,
ExploreContext,
explore_agent,
explore,
)
__all__ = [
"ExploreAgentImpl",
"ExploreContext",
"explore_agent",
"explore",
]
@@ -0,0 +1,127 @@
"""
Explore Agent implementation using PydanticAI.
Fast codebase exploration with read-only tools.
Uses sanitized Ollama provider for reliable tool calling.
"""
import os
from dataclasses import dataclass
from typing import Any
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIModel
from src.domains.agents.base import BaseAgent, AgentContext, register_agent
from src.domains.agents.explore.prompts import EXPLORE_SYSTEM_PROMPT
from src.ollama.provider import get_ollama_provider
from src.shared.config import get_settings
from src.shared.logging import logged, get_logger, trace_span
logger = get_logger(__name__)
@dataclass
class ExploreContext(AgentContext):
"""
Context for explore agent tools.
Passed to all tool functions via RunContext.
"""
pass
class ExploreAgentImpl(BaseAgent):
"""
Fast codebase exploration agent.
Uses glob, grep, read, and bash tools to search and analyze codebases.
Read-only mode - cannot modify files.
"""
name = "explore"
description = "Fast codebase exploration - find files, search content, read code"
def __init__(self):
"""Initialize the explore agent."""
self._agent: Agent[ExploreContext, str] | None = None
self._settings = get_settings()
def _create_agent(self) -> Agent[ExploreContext, str]:
"""Create the PydanticAI agent with Ollama backend."""
# Use sanitized Ollama provider to fix content: null issues
model = OpenAIModel(
model_name=self._settings.ollama_agent_model,
provider=get_ollama_provider(),
)
agent: Agent[ExploreContext, str] = Agent(
model=model,
system_prompt=EXPLORE_SYSTEM_PROMPT,
deps_type=ExploreContext,
output_type=str,
# Mistral Nemo settings:
# - temperature 0.3 (Nemo needs slightly higher than 0.0)
# - tool_choice "required" forces tool use
model_settings={
"temperature": 0.3,
"extra_body": {"tool_choice": "required"},
},
)
# Register tools
self._register_tools(agent)
return agent
def _register_tools(self, agent: Agent[ExploreContext, str]) -> None:
"""Register all exploration tools with the agent."""
from src.domains.agents.explore.tools import register_explore_tools
register_explore_tools(agent)
@logged()
async def run(
self,
prompt: str,
working_dir: str | None = None,
allowed_paths: list[str] | None = None,
**kwargs: Any
) -> str:
"""
Run the explore agent with a prompt.
Args:
prompt: User query about the codebase
working_dir: Working directory for exploration
allowed_paths: Restrict tool access to these paths
Returns:
Agent response with findings
"""
ctx = ExploreContext(
working_dir=working_dir or os.getcwd(),
allowed_paths=allowed_paths or self._settings.effective_allowed_paths,
timeout_seconds=self._settings.tool_timeout_seconds,
)
async with trace_span("explore_agent_run"):
try:
# Use run() not run_stream() - Ollama has bugs with streaming + tools
result = await self.agent.run(prompt, deps=ctx)
return result.output
except Exception as e:
logger.exception(f"Explore agent error: {e}")
raise
# Create and register the singleton instance
explore_agent = ExploreAgentImpl()
register_agent(explore_agent)
async def explore(
prompt: str,
working_dir: str | None = None,
**kwargs: Any
) -> str:
"""Run exploration query."""
return await explore_agent.run(prompt, working_dir=working_dir, **kwargs)
@@ -0,0 +1,45 @@
<!--
name: 'Agent Prompt: Explore'
description: System prompt for the Explore subagent
ccVersion: 2.0.56
variables:
- GLOB_TOOL_NAME
- GREP_TOOL_NAME
- READ_TOOL_NAME
- BASH_TOOL_NAME
-->
You are a file search specialist for Claude Code, Anthropic's official CLI for Claude. You excel at thoroughly navigating and exploring codebases.
=== CRITICAL: READ-ONLY MODE - NO FILE MODIFICATIONS ===
This is a READ-ONLY exploration task. You are STRICTLY PROHIBITED from:
- Creating new files (no Write, touch, or file creation of any kind)
- Modifying existing files (no Edit operations)
- Deleting files (no rm or deletion)
- Moving or copying files (no mv or cp)
- Creating temporary files anywhere, including /tmp
- Using redirect operators (>, >>, |) or heredocs to write to files
- Running ANY commands that change system state
Your role is EXCLUSIVELY to search and analyze existing code. You do NOT have access to file editing tools - attempting to edit files will fail.
Your strengths:
- Rapidly finding files using glob patterns
- Searching code and text with powerful regex patterns
- Reading and analyzing file contents
Guidelines:
- Use ${GLOB_TOOL_NAME} for broad file pattern matching
- Use ${GREP_TOOL_NAME} for searching file contents with regex
- Use ${READ_TOOL_NAME} when you know the specific file path you need to read
- Use ${BASH_TOOL_NAME} ONLY for read-only operations (ls, git status, git log, git diff, find, cat, head, tail)
- NEVER use ${BASH_TOOL_NAME} for: mkdir, touch, rm, cp, mv, git add, git commit, npm install, pip install, or any file creation/modification
- Adapt your search approach based on the thoroughness level specified by the caller
- Return file paths as absolute paths in your final response
- For clear communication, avoid using emojis
- Communicate your final report directly as a regular message - do NOT attempt to create files
NOTE: You are meant to be a fast agent that returns output as quickly as possible. In order to achieve this you must:
- Make efficient use of the tools that you have at your disposal: be smart about how you search for files and implementations
- Wherever possible you should try to spawn multiple parallel tool calls for grepping and reading files
Complete the user's search request efficiently and report your findings clearly.
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"""
System prompts for the Explore agent.
Optimized for Mistral Nemo Large following the guidelines in docs/mistral-instructions.md:
- Temperature 0.0 for deterministic tool calls
- Negative constraints (MUST NOT guess, MUST NOT estimate)
- "Strictly tool-based assistant" pattern
- Chain of thought reasoning
"""
EXPLORE_SYSTEM_PROMPT = """You are a codebase exploration assistant with access to tools.
CRITICAL: You MUST provide ALL required arguments when calling tools.
TOOL CALL EXAMPLES (follow exactly):
To find Python files:
Call glob_files with pattern="**/*.py"
To find a specific file:
Call glob_files with pattern="**/config.py"
To read a file:
Call read_file with file_path="/absolute/path/to/file.py"
To search for code:
Call grep_content with pattern="def main"
To run git commands:
Call bash_readonly with command="git status"
RULES:
- ALWAYS provide the required arguments (pattern, file_path, command)
- The working directory is pre-configured - you don't need path arguments
- Use tools first, then answer based on results
- Never guess - always verify with tools
After getting tool results, provide a clear summary of findings."""
EXPLORE_SYSTEM_PROMPT_PARSING = """You are a codebase exploration assistant. Your working directory is: {working_dir}
TO USE A TOOL, output ONLY a JSON object like this:
```json
{{"name": "tool_name", "arguments": {{"arg1": "value1"}}}}
```
AVAILABLE TOOLS:
1. glob_files - Find files by pattern
Arguments: pattern (required), limit (optional, default 100)
Example: {{"name": "glob_files", "arguments": {{"pattern": "**/*.py"}}}}
2. read_file - Read file contents
Arguments: file_path (required, must be absolute), offset (optional), limit (optional)
Example: {{"name": "read_file", "arguments": {{"file_path": "/path/to/file.py"}}}}
3. grep_content - Search file contents with regex
Arguments: pattern (required), file_glob (optional), case_sensitive (optional)
Example: {{"name": "grep_content", "arguments": {{"pattern": "def main", "file_glob": "*.py"}}}}
4. bash_readonly - Run read-only shell commands (ls, git status, git log, etc.)
Arguments: command (required), timeout (optional)
Example: {{"name": "bash_readonly", "arguments": {{"command": "git status"}}}}
RULES:
- ALWAYS use tools to answer questions - never guess
- Output ONLY the JSON tool call, nothing else, when you need information
- After receiving tool results, provide a clear answer
- Use absolute paths from tool results
- The working directory is already set - tools will use it automatically
When you have enough information, provide your final answer WITHOUT any JSON tool calls."""
EXPLORE_TOOL_GUIDANCE = """
Tool Usage Guidelines:
glob_files:
- Use for discovering files: glob_files(pattern="**/*.py")
- Filter by directory: glob_files(pattern="*.ts", path="src/")
- Find test files: glob_files(pattern="**/test_*.py")
grep_content:
- Search for functions: grep_content(pattern="def function_name")
- Find classes: grep_content(pattern="class \\w+", file_glob="*.py")
- Search imports: grep_content(pattern="from.*import", file_glob="*.py")
read_file:
- Read specific file: read_file(file_path="/absolute/path/to/file.py")
- Read portion: read_file(file_path="/path/file.py", offset=100, limit=50)
bash_readonly:
- Directory listing: bash_readonly(command="ls -la")
- Git status: bash_readonly(command="git status")
- Git log: bash_readonly(command="git log --oneline -10")
- Find files: bash_readonly(command="find . -name '*.md' -type f")
"""
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"""
Tool registrations for the Explore agent.
Registers our tool implementations with the PydanticAI agent.
"""
from pydantic_ai import Agent, RunContext
from src.domains.agents.base import AgentContext
from src.domains.tools.file.read import ReadFileTool
from src.domains.tools.file.glob import GlobFilesTool
from src.domains.tools.search.grep import GrepContentTool
from src.domains.tools.shell.bash import BashReadOnlyTool
def register_explore_tools(agent: Agent[AgentContext, str]) -> None:
"""
Register all exploration tools with the agent.
Each tool is wrapped to use context from RunContext.
"""
@agent.tool
async def read_file(
ctx: RunContext[AgentContext],
file_path: str,
offset: int = 0,
limit: int = 2000
) -> str:
"""Read contents of a file with line numbers.
Args:
file_path: Absolute path to the file to read
offset: Line number to start from (0-based, default: 0)
limit: Maximum number of lines to read (default: 2000)
Returns:
File contents with line numbers, or error message.
IMPORTANT: Always use absolute paths. Never guess file contents.
"""
tool = ReadFileTool(allowed_paths=ctx.deps.allowed_paths)
result = await tool.execute(
file_path=file_path,
offset=offset,
limit=limit
)
return result.to_string()
@agent.tool
async def glob_files(
ctx: RunContext[AgentContext],
pattern: str,
path: str | None = None,
limit: int = 100
) -> str:
"""Find files matching a glob pattern.
Args:
pattern: Glob pattern (e.g., "**/*.py", "src/**/*.ts", "*.md")
path: Directory to search in (default: working directory)
limit: Maximum number of files to return (default: 100)
Returns:
List of absolute file paths, sorted by modification time (newest first).
Examples:
- "**/*.py" finds all Python files
- "src/**/*.ts" finds TypeScript files in src/
- "**/test_*.py" finds all test files
IMPORTANT: Use this to discover files before reading them.
"""
tool = GlobFilesTool(allowed_paths=ctx.deps.allowed_paths)
search_path = path or ctx.deps.working_dir
result = await tool.execute(
pattern=pattern,
path=search_path,
limit=limit
)
return result.to_string()
@agent.tool
async def grep_content(
ctx: RunContext[AgentContext],
pattern: str,
path: str | None = None,
file_glob: str | None = None,
context_lines: int = 0,
case_sensitive: bool = True
) -> str:
"""Search file contents using regex pattern.
Args:
pattern: Regex pattern to search for (Python re syntax)
path: Directory or file to search (default: working directory)
file_glob: Filter files by glob (e.g., "*.py", "*.ts")
context_lines: Lines of context before/after matches (default: 0)
case_sensitive: Case-sensitive search (default: True)
Returns:
Matching lines with file paths and line numbers.
Format: "filepath:line_num: content"
Examples:
- pattern="def.*__init__" finds init methods
- pattern="class\\s+\\w+" finds class definitions
- pattern="TODO|FIXME" finds todo comments
IMPORTANT: Use this to search for code patterns. Escape regex special chars.
"""
tool = GrepContentTool(allowed_paths=ctx.deps.allowed_paths)
search_path = path or ctx.deps.working_dir
result = await tool.execute(
pattern=pattern,
path=search_path,
file_glob=file_glob,
context_lines=context_lines,
case_sensitive=case_sensitive
)
return result.to_string()
@agent.tool
async def bash_readonly(
ctx: RunContext[AgentContext],
command: str,
cwd: str | None = None,
timeout: int = 30
) -> str:
"""Execute a read-only bash command.
ALLOWED commands:
- File inspection: ls, find, cat, head, tail, wc, file, stat, tree, du
- Git (read-only): git status, git log, git diff, git show, git branch
- Text processing: grep, awk, sed (read-only), sort, uniq
- System info: pwd, whoami, hostname, which
FORBIDDEN:
- File modification (rm, mv, cp, mkdir, touch)
- Redirects (>, >>)
- Command chaining (&&, ||, ;)
- Network (curl, wget)
Args:
command: The bash command to execute
cwd: Working directory (default: agent working directory)
timeout: Timeout in seconds (default: 30)
Returns:
Command output or error message.
Examples:
- "ls -la" lists files with details
- "git status" shows git status
- "git log --oneline -10" shows recent commits
"""
tool = BashReadOnlyTool(allowed_paths=ctx.deps.allowed_paths)
working_dir = cwd or ctx.deps.working_dir
result = await tool.execute(
command=command,
cwd=working_dir,
timeout=min(timeout, ctx.deps.timeout_seconds)
)
return result.to_string()