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Tool Loader
Part of SOVEREIGN PYTHON LLM ENGINE
Auto-registers all available tools into the registry.
"""
from pathlib import Path
from .registry import ToolRegistry, ToolDefinition, RiskClass, ApprovalPolicy
# ==========================================
# FILESYSTEM TOOLS
# ==========================================
def register_filesystem_tools(registry: ToolRegistry) -> None:
async def read_file(params: dict) -> dict:
path = Path(params["path"])
if not path.exists():
return {"error": f"File not found: {path}"}
try:
content = path.read_text(encoding='utf-8')
return {"content": content, "path": str(path), "size": len(content)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.read",
version="1.0.0",
title="Read File",
description="Read contents of a file",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=5000,
handler=read_file,
tags=["filesystem", "read"]
))
async def write_file(params: dict) -> dict:
path = Path(params["path"])
content = params["content"]
try:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(content, encoding='utf-8')
return {"success": True, "path": str(path), "bytes_written": len(content)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.write",
version="1.0.0",
title="Write File",
description="Write content to a file",
input_schema={
"type": "object",
"properties": {
"path": {"type": "string"},
"content": {"type": "string"}
},
"required": ["path", "content"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=10000,
handler=write_file,
tags=["filesystem", "write"]
))
async def list_directory(params: dict) -> dict:
path = Path(params["path"])
if not path.exists():
return {"error": f"Path not found: {path}"}
if not path.is_dir():
return {"error": f"Not a directory: {path}"}
try:
files = []
for item in path.iterdir():
files.append({
"name": item.name,
"path": str(item),
"is_dir": item.is_dir(),
"is_file": item.is_file(),
"size": item.stat().st_size if item.is_file() else 0
})
return {"files": files, "count": len(files), "path": str(path)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.list",
version="1.0.0",
title="List Directory",
description="List files in a directory",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=5000,
handler=list_directory,
tags=["filesystem", "read"]
))
async def delete_file(params: dict) -> dict:
path = Path(params["path"])
if not path.exists():
return {"error": f"File not found: {path}"}
try:
path.unlink()
return {"success": True, "path": str(path)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.delete",
version="1.0.0",
title="Delete File",
description="Delete a file (irreversible)",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.DESTRUCTIVE_LOCAL,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=5000,
handler=delete_file,
tags=["filesystem", "delete"]
))
async def move_file(params: dict) -> dict:
import shutil
src = Path(params["source"])
dst = Path(params["destination"])
if not src.exists():
return {"error": f"Source not found: {src}"}
try:
dst.parent.mkdir(parents=True, exist_ok=True)
shutil.move(str(src), str(dst))
return {"success": True, "source": str(src), "destination": str(dst)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.move",
version="1.0.0",
title="Move File",
description="Move or rename a file",
input_schema={
"type": "object",
"properties": {
"source": {"type": "string"},
"destination": {"type": "string"}
},
"required": ["source", "destination"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=5000,
handler=move_file,
tags=["filesystem", "write"]
))
async def search_files(params: dict) -> dict:
import fnmatch
root = Path(params["path"])
pattern = params["pattern"]
recursive = params.get("recursive", True)
if not root.exists():
return {"error": f"Path not found: {root}"}
try:
matches = []
glob_pattern = f"**/{pattern}" if recursive else pattern
for match in root.glob(glob_pattern):
matches.append({
"path": str(match),
"name": match.name,
"size": match.stat().st_size if match.is_file() else 0
})
return {"matches": matches, "count": len(matches)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="filesystem.search",
version="1.0.0",
title="Search Files",
description="Search for files by pattern (e.g. '*.py', '*.json')",
input_schema={
"type": "object",
"properties": {
"path": {"type": "string"},
"pattern": {"type": "string"},
"recursive": {"type": "boolean", "default": True}
},
"required": ["path", "pattern"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=search_files,
tags=["filesystem", "search"]
))
# ==========================================
# CODE TOOLS
# ==========================================
def register_code_tools(registry: ToolRegistry) -> None:
async def execute_python(params: dict) -> dict:
code = params["code"]
try:
import subprocess
result = subprocess.run(
["python", "-c", code],
capture_output=True,
text=True,
timeout=30
)
return {
"stdout": result.stdout,
"stderr": result.stderr,
"returncode": result.returncode,
"success": result.returncode == 0
}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="code.execute_python",
version="1.0.0",
title="Execute Python",
description="Execute Python code in subprocess",
input_schema={
"type": "object",
"properties": {"code": {"type": "string"}},
"required": ["code"]
},
output_schema=None,
risk_class=RiskClass.DESTRUCTIVE_LOCAL,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=True,
timeout_ms=30000,
handler=execute_python,
tags=["code", "execution"]
))
async def run_shell(params: dict) -> dict:
import subprocess
command = params["command"]
cwd = params.get("cwd", None)
try:
result = subprocess.run(
command,
shell=True,
capture_output=True,
text=True,
timeout=60,
cwd=cwd
)
return {
"stdout": result.stdout,
"stderr": result.stderr,
"returncode": result.returncode,
"success": result.returncode == 0
}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="code.shell",
version="1.0.0",
title="Run Shell Command",
description="Run a shell command",
input_schema={
"type": "object",
"properties": {
"command": {"type": "string"},
"cwd": {"type": "string"}
},
"required": ["command"]
},
output_schema=None,
risk_class=RiskClass.DESTRUCTIVE_LOCAL,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=True,
timeout_ms=60000,
handler=run_shell,
tags=["code", "shell", "execution"]
))
# ==========================================
# GIT TOOLS
# ==========================================
def register_git_tools(registry: ToolRegistry) -> None:
from .git.operations import (
git_status_tool, git_commit_tool,
git_push_tool, git_log_tool
)
from .git.operations import GitOperations
async def git_status(params: dict) -> dict:
try:
return await git_status_tool(params["repo_path"])
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.status",
version="1.0.0",
title="Git Status",
description="Get git repository status (branch, modified, untracked files)",
input_schema={
"type": "object",
"properties": {"repo_path": {"type": "string"}},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=git_status,
tags=["git", "read"]
))
async def git_diff(params: dict) -> dict:
try:
git = GitOperations(Path(params["repo_path"]))
diff = await git.diff(params.get("file_path"))
return {"diff": diff}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.diff",
version="1.0.0",
title="Git Diff",
description="Show changes in working directory",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"file_path": {"type": "string"}
},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=git_diff,
tags=["git", "read"]
))
async def git_log(params: dict) -> dict:
try:
return await git_log_tool(params["repo_path"], params.get("max_count", 10))
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.log",
version="1.0.0",
title="Git Log",
description="Get commit history",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"max_count": {"type": "integer", "default": 10}
},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=git_log,
tags=["git", "read"]
))
async def git_commit(params: dict) -> dict:
try:
return await git_commit_tool(
params["repo_path"],
params["message"],
params.get("files")
)
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.commit",
version="1.0.0",
title="Git Commit",
description="Stage files and create a commit",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"message": {"type": "string"},
"files": {"type": "array", "items": {"type": "string"}}
},
"required": ["repo_path", "message"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=15000,
handler=git_commit,
tags=["git", "write"]
))
async def git_push(params: dict) -> dict:
try:
return await git_push_tool(params["repo_path"], params.get("remote", "origin"))
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.push",
version="1.0.0",
title="Git Push",
description="Push commits to remote repository",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"remote": {"type": "string", "default": "origin"}
},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_REMOTE_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=30000,
handler=git_push,
tags=["git", "write", "remote"]
))
async def git_pull(params: dict) -> dict:
try:
git = GitOperations(Path(params["repo_path"]))
await git.pull(params.get("remote", "origin"), params.get("branch"))
return {"success": True}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.pull",
version="1.0.0",
title="Git Pull",
description="Pull commits from remote repository",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"remote": {"type": "string", "default": "origin"},
"branch": {"type": "string"}
},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=30000,
handler=git_pull,
tags=["git", "write", "remote"]
))
async def git_branch_list(params: dict) -> dict:
try:
git = GitOperations(Path(params["repo_path"]))
branches = await git.branch_list()
return {"branches": branches}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.branch_list",
version="1.0.0",
title="List Git Branches",
description="List all branches in repository",
input_schema={
"type": "object",
"properties": {"repo_path": {"type": "string"}},
"required": ["repo_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=git_branch_list,
tags=["git", "read"]
))
async def git_branch_create(params: dict) -> dict:
try:
git = GitOperations(Path(params["repo_path"]))
await git.branch_create(params["name"], params.get("checkout", False))
return {"success": True, "branch": params["name"]}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.branch_create",
version="1.0.0",
title="Create Git Branch",
description="Create a new branch",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"name": {"type": "string"},
"checkout": {"type": "boolean", "default": False}
},
"required": ["repo_path", "name"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=git_branch_create,
tags=["git", "write"]
))
async def git_checkout(params: dict) -> dict:
try:
git = GitOperations(Path(params["repo_path"]))
await git.checkout(params["branch"])
return {"success": True, "branch": params["branch"]}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.checkout",
version="1.0.0",
title="Git Checkout",
description="Checkout a branch",
input_schema={
"type": "object",
"properties": {
"repo_path": {"type": "string"},
"branch": {"type": "string"}
},
"required": ["repo_path", "branch"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=10000,
handler=git_checkout,
tags=["git", "write"]
))
async def git_clone(params: dict) -> dict:
try:
from git import Repo
import asyncio
target = Path(params["target_path"])
target.mkdir(parents=True, exist_ok=True)
def _clone():
Repo.clone_from(params["url"], target)
await asyncio.to_thread(_clone)
return {"success": True, "path": str(target)}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="git.clone",
version="1.0.0",
title="Git Clone",
description="Clone a remote repository",
input_schema={
"type": "object",
"properties": {
"url": {"type": "string"},
"target_path": {"type": "string"}
},
"required": ["url", "target_path"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=60000,
handler=git_clone,
tags=["git", "write", "remote"]
))
# ==========================================
# DATABASE TOOLS
# ==========================================
def register_database_tools(registry: ToolRegistry) -> None:
from .database.sqlite import sqlite_query_tool, sqlite_execute_tool
async def sqlite_query(params: dict) -> dict:
try:
return await sqlite_query_tool(
params["db_path"],
params["sql"],
params.get("params")
)
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="database.sqlite_query",
version="1.0.0",
title="SQLite Query",
description="Execute a SELECT query on a SQLite database",
input_schema={
"type": "object",
"properties": {
"db_path": {"type": "string"},
"sql": {"type": "string"},
"params": {"type": "array"}
},
"required": ["db_path", "sql"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=15000,
handler=sqlite_query,
tags=["database", "sqlite", "read"]
))
async def sqlite_execute(params: dict) -> dict:
try:
return await sqlite_execute_tool(
params["db_path"],
params["sql"],
params.get("params")
)
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="database.sqlite_execute",
version="1.0.0",
title="SQLite Execute",
description="Execute an INSERT/UPDATE/DELETE on a SQLite database",
input_schema={
"type": "object",
"properties": {
"db_path": {"type": "string"},
"sql": {"type": "string"},
"params": {"type": "array"}
},
"required": ["db_path", "sql"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_LOCAL_WRITE,
approval_policy=ApprovalPolicy.USER_CONFIRMATION,
sandbox_required=False,
timeout_ms=15000,
handler=sqlite_execute,
tags=["database", "sqlite", "write"]
))
async def sqlite_list_tables(params: dict) -> dict:
try:
from .database.sqlite import SQLiteOperations
ops = SQLiteOperations(Path(params["db_path"]))
tables = await ops.list_tables()
return {"tables": tables}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="database.sqlite_list_tables",
version="1.0.0",
title="SQLite List Tables",
description="List all tables in a SQLite database",
input_schema={
"type": "object",
"properties": {"db_path": {"type": "string"}},
"required": ["db_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=5000,
handler=sqlite_list_tables,
tags=["database", "sqlite", "read"]
))
# ==========================================
# DOCUMENT TOOLS
# ==========================================
def register_document_tools(registry: ToolRegistry) -> None:
async def parse_pdf(params: dict) -> dict:
try:
from .documents.pdf import PDFParser
parser = PDFParser()
doc = await parser.parse(Path(params["path"]))
return {
"text": doc.text,
"pages": doc.pages,
"metadata": doc.metadata
}
except ImportError:
return {"error": "pypdf not installed. Run: pip install pypdf"}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="documents.parse_pdf",
version="1.0.0",
title="Parse PDF",
description="Extract text and metadata from a PDF file",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=30000,
handler=parse_pdf,
tags=["documents", "pdf", "read"]
))
async def parse_docx(params: dict) -> dict:
try:
from .documents.docx import DOCXParser
parser = DOCXParser()
doc = await parser.parse(Path(params["path"]))
return {
"text": doc.text,
"paragraphs": doc.paragraphs,
"metadata": doc.metadata
}
except ImportError:
return {"error": "python-docx not installed. Run: pip install python-docx"}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="documents.parse_docx",
version="1.0.0",
title="Parse DOCX",
description="Extract text from a Microsoft Word document",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=15000,
handler=parse_docx,
tags=["documents", "docx", "read"]
))
async def parse_markdown(params: dict) -> dict:
try:
from .documents.markdown import MarkdownParser
parser = MarkdownParser()
doc = await parser.parse(Path(params["path"]))
return {
"text": doc.text,
"sections": doc.sections,
"links": doc.links,
"code_blocks": doc.code_blocks,
"metadata": doc.metadata
}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="documents.parse_markdown",
version="1.0.0",
title="Parse Markdown",
description="Parse a Markdown file and extract sections, links, code blocks",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=parse_markdown,
tags=["documents", "markdown", "read"]
))
async def parse_html(params: dict) -> dict:
try:
from .documents.html import HTMLParser
parser = HTMLParser()
doc = await parser.parse(Path(params["path"]))
return {
"text": doc.text,
"title": doc.title,
"links": doc.links,
"metadata": doc.metadata
}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="documents.parse_html",
version="1.0.0",
title="Parse HTML",
description="Extract text and links from an HTML file",
input_schema={
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=parse_html,
tags=["documents", "html", "read"]
))
# ==========================================
# WEB TOOLS (decorator-based, auto-register on import)
# ==========================================
def register_web_tools(registry: ToolRegistry) -> None:
# web.search, web.fetch, web.extract use @tool decorator
# importing the module auto-registers them into the global registry
# we then copy them into the provided registry
try:
import src.tools.web.search as _ # noqa: F401
from .registry import get_global_registry
global_reg = get_global_registry()
for tool_id in ["web.search", "web.fetch", "web.extract"]:
if global_reg.has(tool_id) and not registry.has(tool_id):
registry.register(global_reg.get(tool_id))
except ImportError as e:
print(f"Note: web tools require httpx + beautifulsoup4: {e}")
except Exception as e:
print(f"Note: web tools skipped: {e}")
# ==========================================
# EMBEDDINGS TOOLS (decorator-based)
# ==========================================
def register_embeddings_tools(registry: ToolRegistry) -> None:
try:
import src.tools.embeddings.encode as _ # noqa: F401
from .registry import get_global_registry
global_reg = get_global_registry()
for tool_id in ["embeddings.encode_text", "embeddings.similarity"]:
if global_reg.has(tool_id) and not registry.has(tool_id):
registry.register(global_reg.get(tool_id))
except Exception as e:
print(f"Note: embeddings tools skipped: {e}")
# ==========================================
# AUDIO TOOLS
# ==========================================
def register_audio_tools(registry: ToolRegistry) -> None:
async def transcribe_audio(params: dict) -> dict:
try:
from .audio.transcribe import AudioTranscriber
transcriber = AudioTranscriber(
provider=params.get("provider", "openai"),
model=params.get("model", "whisper-1")
)
result = await transcriber.transcribe(
Path(params["audio_path"]),
language=params.get("language")
)
return {
"text": result.text,
"language": result.language,
"duration": result.duration
}
except ImportError:
return {"error": "openai not installed. Run: pip install openai"}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="audio.transcribe",
version="1.0.0",
title="Transcribe Audio",
description="Transcribe audio file to text using Whisper",
input_schema={
"type": "object",
"properties": {
"audio_path": {"type": "string"},
"language": {"type": "string"},
"provider": {"type": "string", "default": "openai"},
"model": {"type": "string", "default": "whisper-1"}
},
"required": ["audio_path"]
},
output_schema=None,
risk_class=RiskClass.READ_ONLY_REMOTE,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=120000,
handler=transcribe_audio,
tags=["audio", "transcribe", "whisper"]
))
async def synthesize_speech(params: dict) -> dict:
try:
from .audio.synthesize import AudioSynthesizer
synth = AudioSynthesizer(provider=params.get("provider", "openai"))
result = await synth.synthesize(
text=params["text"],
voice=params.get("voice", "alloy"),
speed=params.get("speed", 1.0)
)
output_path = params.get("output_path", "output.mp3")
Path(output_path).write_bytes(result.audio_bytes)
return {"success": True, "output_path": output_path, "format": result.format}
except ImportError:
return {"error": "openai not installed. Run: pip install openai"}
except Exception as e:
return {"error": str(e)}
registry.register(ToolDefinition(
tool_id="audio.synthesize",
version="1.0.0",
title="Synthesize Speech",
description="Convert text to speech (TTS)",
input_schema={
"type": "object",
"properties": {
"text": {"type": "string"},
"voice": {"type": "string", "default": "alloy"},
"speed": {"type": "number", "default": 1.0},
"output_path": {"type": "string"},
"provider": {"type": "string", "default": "openai"}
},
"required": ["text"]
},
output_schema=None,
risk_class=RiskClass.REVERSIBLE_REMOTE_WRITE,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=60000,
handler=synthesize_speech,
tags=["audio", "tts", "speech"]
))
# ==========================================
# PYTORCH TOOLS
# ==========================================
def register_pytorch_tools(registry: ToolRegistry) -> None:
from .ml.pytorch import tensor_operation, check_cuda
async def pytorch_tensor_op(params: dict) -> dict:
return await tensor_operation(params)
registry.register(ToolDefinition(
tool_id="pytorch.tensor_operation",
version="1.0.0",
title="PyTorch Tensor Operation",
description="Execute PyTorch tensor operations (add, matmul, softmax, relu, etc)",
input_schema={
"type": "object",
"properties": {
"operation": {"type": "string"},
"tensor_a": {"type": "array"},
"tensor_b": {"type": "array"},
"dim": {"type": "integer"}
},
"required": ["operation", "tensor_a"]
},
output_schema=None,
risk_class=RiskClass.PURE_COMPUTATION,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=10000,
handler=pytorch_tensor_op,
tags=["pytorch", "ml", "tensor"]
))
async def pytorch_cuda_check(params: dict) -> dict:
return await check_cuda(params)
registry.register(ToolDefinition(
tool_id="pytorch.check_cuda",
version="1.0.0",
title="Check CUDA Availability",
description="Check if CUDA is available and list GPU devices",
input_schema={"type": "object", "properties": {}},
output_schema=None,
risk_class=RiskClass.READ_ONLY_LOCAL,
approval_policy=ApprovalPolicy.AUTOMATIC,
sandbox_required=False,
timeout_ms=5000,
handler=pytorch_cuda_check,
tags=["pytorch", "ml", "cuda"]
))
# ==========================================
# MASTER LOADER
# ==========================================
def load_all_tools(registry: ToolRegistry) -> int:
"""
Load all available tools into registry.
Returns:
Number of tools loaded
"""
count_before = len(registry.tools)
# Core tools — always available
register_filesystem_tools(registry)
register_code_tools(registry)
# Git tools (requires gitpython)
try:
register_git_tools(registry)
except ImportError:
print("Note: gitpython not installed, skipping git.* tools. Run: pip install gitpython")
# Database tools (stdlib sqlite3, always available)
register_database_tools(registry)
# Document tools (optional deps)
register_document_tools(registry)
# Web tools (requires httpx + beautifulsoup4)
register_web_tools(registry)
# Embeddings tools (optional)
register_embeddings_tools(registry)
# Audio tools (requires openai)
register_audio_tools(registry)
# PyTorch tools (optional)
try:
register_pytorch_tools(registry)
except ImportError:
print("Note: torch not installed, skipping pytorch.* tools. Run: pip install torch")
count_after = len(registry.tools)
loaded = count_after - count_before
print(f"OK: Loaded {loaded} tools into registry")
return loaded
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