ReMe/reme/reme_cli.py

225 lines
8.2 KiB
Python

"""ReMe File System"""
import asyncio
import os
import sys
from typing import AsyncGenerator
from prompt_toolkit import PromptSession
from reme.core.op import BaseTool
from .agent.chat import FsCli
from .core.enumeration import ChunkEnum
from .core.schema import StreamChunk
from .core.utils import execute_stream_task, play_horse_easter_egg
from .reme_fs import ReMeFs
from .tool.fs import (
BashTool,
EditTool,
FsMemorySearch,
LsTool,
ReadTool,
WriteTool,
)
from .tool.gallery import ExecuteCode
from .tool.search import DashscopeSearch, TavilySearch
class ReMeCli(ReMeFs):
"""ReMe Cli"""
def __init__(self, *args, config_path: str = "cli", **kwargs):
"""Initialize ReMe with config."""
super().__init__(*args, config_path=config_path, **kwargs)
self.commands = {
"/new": "Create a new conversation.",
"/compact": "Compact messages into a summary.",
"/exit": "Exit the application.",
"/clear": "Clear the history.",
"/help": "Show help.",
"/horse": "A surprise.",
}
self.working_dir = self.service_config.working_dir
async def chat_with_remy(self, tool_result_max_size: int = 100, **kwargs):
"""Interactive CLI chat with Remy using simple streaming output."""
language = self.service_config.language
print(f"ReMe language={language or 'default'}")
tools: list[BaseTool] = [
FsMemorySearch(
vector_weight=self.service_config.metadata["vector_weight"],
candidate_multiplier=self.service_config.metadata["candidate_multiplier"],
),
BashTool(cwd=self.working_dir),
LsTool(cwd=self.working_dir),
ReadTool(cwd=self.working_dir),
EditTool(cwd=self.working_dir),
WriteTool(cwd=self.working_dir),
ExecuteCode(),
]
tavily_api_key: str = os.getenv("TAVILY_API_KEY", "")
dashscope_api_key: str = os.getenv("DASHSCOPE_API_KEY", "")
if tavily_api_key:
tools.append(TavilySearch(name="web_search", language=language))
print("find tavily_api_key, append Tavily search tool")
elif dashscope_api_key:
tools.append(DashscopeSearch(name="web_search", language=language))
print("find dashscope_api_key, append Dashscope search tool")
else:
print("No Tavily or Dashscope API key found, skip Tavily and Dashscope search tool")
fs_cli = FsCli(
tools=tools,
context_window_tokens=self.service_config.metadata["context_window_tokens"],
reserve_tokens=self.service_config.metadata["reserve_tokens"],
keep_recent_tokens=self.service_config.metadata["keep_recent_tokens"],
working_dir=self.working_dir,
language=language,
**kwargs,
)
session = PromptSession()
# Print welcome banner
print("\n========================================")
print(" Welcome to Remy Chat!")
print("========================================\n")
async def chat(q: str) -> AsyncGenerator[StreamChunk, None]:
"""Execute chat query and yield streaming chunks."""
stream_queue = asyncio.Queue()
task = asyncio.create_task(
fs_cli.call(
query=q,
stream_queue=stream_queue,
service_context=self.service_context,
),
)
async for _chunk in execute_stream_task(
stream_queue=stream_queue,
task=task,
task_name="cli",
output_format="chunk",
):
yield _chunk
while True:
try:
# Get user input (async)
user_input = await session.prompt_async("You: ")
user_input = user_input.strip()
if not user_input:
continue
# Handle commands
if user_input == "/exit":
break
if user_input == "/new":
result = await fs_cli.new()
print(f"{result}\nConversation reset\n")
continue
if user_input == "/compact":
result = await fs_cli.compact(force_compact=True)
print(f"{result}\nHistory compacted.\n")
continue
if user_input == "/history":
result = fs_cli.format_history()
print(f"Formated History:\n{result}\n")
continue
if user_input == "/clear":
fs_cli.messages.clear()
print("History cleared.\n")
continue
if user_input == "/help":
print("\nCommands:")
for command, description in self.commands.items():
print(f" {command}: {description}")
continue
if user_input == "/horse":
play_horse_easter_egg()
continue
# Stream processing state
in_thinking = False
in_answer = False
try:
async for chunk in chat(user_input):
if chunk.chunk_type == ChunkEnum.THINK:
if not in_thinking:
print("\033[90mThinking: ", end="", flush=True)
in_thinking = True
print(chunk.chunk, end="", flush=True)
elif chunk.chunk_type == ChunkEnum.ANSWER:
if in_thinking:
print("\033[0m") # reset color after thinking
in_thinking = False
if not in_answer:
print("\nRemy: ", end="", flush=True)
in_answer = True
print(chunk.chunk, end="", flush=True)
elif chunk.chunk_type == ChunkEnum.TOOL:
if in_thinking:
print("\033[0m") # reset color after thinking
in_thinking = False
print(f"\033[36m -> {chunk.chunk}\033[0m")
elif chunk.chunk_type == ChunkEnum.TOOL_RESULT:
tool_name = chunk.metadata.get("tool_name", "unknown")
result = chunk.chunk
if len(result) > tool_result_max_size:
result = result[:tool_result_max_size] + f"... ({len(chunk.chunk)} chars total)"
print(f"\033[36m -> Tool result for {tool_name}: {result.strip()}\033[0m")
elif chunk.chunk_type == ChunkEnum.ERROR:
print(f"\n\033[91m[ERROR] {chunk.chunk}\033[0m")
# Also log the full error metadata if available
if chunk.metadata:
import traceback
traceback.print_exc()
elif chunk.chunk_type == ChunkEnum.DONE:
break
except Exception as e:
print(f"\nStream error: {e}")
# End current streaming line
print("\n")
print("----------------------------------------\n")
except EOFError:
break
except KeyboardInterrupt:
print("\nInterrupted.")
break
except Exception as e:
print(f"Error: {e}")
import traceback
traceback.print_exc()
print("\nGoodbye!\n")
async def async_main():
"""Main function for testing the ReMeFs CLI."""
async with ReMeCli(*sys.argv[1:], log_to_console=False) as reme:
await reme.chat_with_remy()
def main():
"""Main function for testing the ReMeFs CLI."""
asyncio.run(async_main())
if __name__ == "__main__":
main()