Tools / Modules /Agent_Terminal.py
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changing a field name from `code` to `input`. Reduces the problem of the model constantly trying to write code rather than calling tools
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from __future__ import annotations
import os
import sys
import types
import ast
from io import StringIO
from typing import Annotated
import importlib.metadata
import gradio as gr
from ._docstrings import autodoc
from .File_System import ROOT_DIR, File_System
from .Web_Fetch import Web_Fetch
from .Web_Search import Web_Search
from .Memory_Manager import Memory_Manager
from .Generate_Speech import Generate_Speech, List_Kokoro_Voices, List_Supertonic_Voices
from .Generate_Image import Generate_Image
from .Generate_Video import Generate_Video
from .Deep_Research import Deep_Research
from .Obsidian_Vault import Obsidian_Vault
from .Shell_Command import Shell_Command
from .Code_Interpreter import Code_Interpreter
from app import _log_call_end, _log_call_start, _truncate_for_log
def search_packages(query: str = "") -> str:
"""Search for installed Python packages by name. If query is empty, lists all."""
packages = []
query = query.lower()
for dist in importlib.metadata.distributions():
name = dist.metadata['Name']
if query in name.lower():
packages.append(f"{name} ({dist.version})")
packages.sort()
if not packages:
return f"No packages found matching '{query}'."
return "\n".join(packages)
def _get_tools_map():
return {
"Web_Fetch": Web_Fetch,
"Web_Search": Web_Search,
"Memory_Manager": Memory_Manager,
"Generate_Speech": Generate_Speech,
"List_Kokoro_Voices": List_Kokoro_Voices,
"List_Supertonic_Voices": List_Supertonic_Voices,
"Generate_Image": Generate_Image,
"Generate_Video": Generate_Video,
"Deep_Research": Deep_Research,
"File_System": File_System,
"Obsidian_Vault": Obsidian_Vault,
"Shell_Command": Shell_Command,
"Code_Interpreter": Code_Interpreter,
}
def list_tools() -> list[str]:
"""List all available tools in the Code Interpreter environment."""
return list(_get_tools_map().keys())
def search_tools(query: str) -> str:
"""Search for tools by name or description. Returns usage info for matches."""
query = query.lower()
matches = []
tools = _get_tools_map()
for name, func in tools.items():
doc = (func.__doc__ or "").lower()
if query in name.lower() or query in doc:
matches.append((name, func))
if not matches:
return f"No tools found matching '{query}'."
output = []
for name, func in matches:
output.append(f"--- {name} ---")
output.append(func.__doc__ or "No documentation available.")
output.append("")
return "\n".join(output)
def usage(tool_name: str) -> str:
"""Get detailed usage information for a specific tool."""
tools = _get_tools_map()
if tool_name not in tools:
return f"Tool '{tool_name}' not found. Available tools: {', '.join(tools.keys())}"
func = tools[tool_name]
return f"--- {tool_name} ---\n{func.__doc__ or 'No documentation available.'}"
def _initialize_mock_modules():
"""
Registers a mock 'functions' module in sys.modules so that LLMs
can do 'from functions import ...' without error.
"""
mock_module = types.ModuleType("functions")
# Add tools
for name, tool in _get_tools_map().items():
setattr(mock_module, name, tool)
# Add helpers
helpers = {
"list_tools": list_tools,
"search_tools": search_tools,
"usage": usage,
"search_packages": search_packages,
}
for name, func in helpers.items():
setattr(mock_module, name, func)
sys.modules["functions"] = mock_module
_initialize_mock_modules()
# Single source of truth for the LLM-facing tool description
TOOL_SUMMARY = (
"Executes Python code as the unified interface for the entire tools ecosystem. "
"All tool interactions must happen through this code-execution gateway. "
"Use Agent Terminal repeatedly whenever you need to chain or combine tool operations. "
"Available tools: `Web_Fetch`, `Web_Search`, `Code_Interpreter`, `Shell_Command`, `File_System`, `Obsidian_Vault`, `Memory_Manager`, `Generate_Speech`, `Generate_Image`, `Generate_Video`, `Deep_Research`."
)
@autodoc(
summary=TOOL_SUMMARY,
)
def Agent_Terminal(input: Annotated[str, (
"Python source code to run; stdout is captured and returned. "
"Execute these commands: "
"`search_tools('query')` to search for tools by name or capability; "
"`list_tools()` to list all available tools; "
"`usage('ToolName')` to inspect a tool’s expected input parameters; "
"`search_packages('query')` to search for installed Python libraries."
)]) -> str:
_log_call_start("Agent_Terminal", input=_truncate_for_log(input or "", 300))
if input is None:
result = "No code provided."
_log_call_end("Agent_Terminal", result)
return result
old_stdout = sys.stdout
old_cwd = os.getcwd()
redirected_output = sys.stdout = StringIO()
# Prepare the execution environment with all tools
tools_env = {
"Web_Fetch": Web_Fetch,
"Web_Search": Web_Search,
"Memory_Manager": Memory_Manager,
"Generate_Speech": Generate_Speech,
"List_Kokoro_Voices": List_Kokoro_Voices,
"List_Supertonic_Voices": List_Supertonic_Voices,
"Generate_Image": Generate_Image,
"Generate_Video": Generate_Video,
"Deep_Research": Deep_Research,
"File_System": File_System,
"Obsidian_Vault": Obsidian_Vault,
"Shell_Command": Shell_Command,
"Code_Interpreter": Code_Interpreter,
"list_tools": list_tools,
"search_tools": search_tools,
"usage": usage,
"search_packages": search_packages,
"print": print, # Ensure print is available
"__builtins__": __builtins__,
}
try:
os.chdir(ROOT_DIR)
# Parse code to check if the last statement is an expression
tree = ast.parse(input)
if tree.body and isinstance(tree.body[-1], ast.Expr):
last_node = tree.body.pop()
# Execute preceding statements
if tree.body:
exec(compile(tree, filename="<string>", mode="exec"), tools_env)
# Evaluate and print the last expression
expr = compile(ast.Expression(last_node.value), filename="<string>", mode="eval")
result_val = eval(expr, tools_env)
if result_val is not None:
print(result_val)
else:
exec(input, tools_env)
result = redirected_output.getvalue()
except Exception as exc: # pylint: disable=broad-except
result = str(exc)
finally:
sys.stdout = old_stdout
try:
os.chdir(old_cwd)
except Exception:
pass
_log_call_end("Agent_Terminal", _truncate_for_log(result))
return result
def build_interface() -> gr.Interface:
return gr.Interface(
fn=Agent_Terminal,
inputs=gr.Code(label="Python Code", language="python"),
outputs=gr.Textbox(label="Output", lines=5, max_lines=20),
title="Agent Terminal",
description="<div style=\"text-align:center\">Interact with all other tools via a Python API. Reduces token usage by 90%.</div>",
api_description=TOOL_SUMMARY,
flagging_mode="never",
)
__all__ = ["Agent_Terminal", "build_interface"]