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feat(config): update default LLM model configuration

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This commit is contained in:
jinli.yl 2026-02-10 17:29:19 +08:00
parent dfb402039c
commit 011cabc5f1
2 changed files with 5 additions and 4 deletions
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3
reme/config/default.yaml
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@ -20,7 +20,8 @@ flows:
llms:
default:
backend: openai
model_name: qwen3-30b-a3b-instruct-2507
# model_name: qwen3-30b-a3b-instruct-2507
model_name: qwen3-next-80b-a3b-thinking
# model_name: qwen3-30b-a3b-thinking-2507
request_interval: 1
# temperature: 0.0001

6
reme/reme_fs.py
View file

@ -7,13 +7,13 @@ from typing import AsyncGenerator
from prompt_toolkit import PromptSession
from reme.core.utils import execute_stream_task
from .agent.chat import FsCli
from .agent.fs import FsCompactor, FsContextChecker, FsSummarizer
from .config import ReMeConfigParser
from .core import Application
from .core.enumeration import ChunkEnum
from .core.schema import Message, StreamChunk
from .core.utils import execute_stream_task
from .tool.fs import (
BashTool,
EditTool,
@ -347,14 +347,14 @@ class ReMeFs(Application):
if in_thinking:
print("\033[0m") # reset color after thinking
in_thinking = False
print(f"\033[36m -> Tool: {chunk.chunk}\033[0m")
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")
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")