feat: add support for reasoning llm with thought visualization (#652) bump:patch

* fix: lanceDB query with empty file_ids

* feat: add thinking display

* feat: add low request mode for local llm
This commit is contained in:
Tuan Anh Nguyen Dang (Tadashi_Cin) 2025-02-05 13:45:12 +07:00 committed by GitHub
parent f5b2200ffa
commit 0b090896fd
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
5 changed files with 53 additions and 9 deletions

View File

@ -80,3 +80,18 @@ def find_start_end_phrase(
final_match = None
return final_match, matched_length
def replace_think_tag_with_details(text):
text = text.replace(
"<think>",
'<details><summary><span style="color:grey">Thought</span></summary><blockquote>', # noqa
)
text = text.replace("</think>", "</blockquote></details>")
return text
def strip_think_tag(text):
if "</think>" in text:
text = text.split("</think>")[1]
return text

View File

@ -98,6 +98,9 @@ class LanceDBDocumentStore(BaseDocumentStore):
if not isinstance(ids, list):
ids = [ids]
if len(ids) == 0:
return []
id_filter = ", ".join([f"'{_id}'" for _id in ids])
try:
document_collection = self.db_connection.open_table(self.collection_name)

View File

@ -14,6 +14,7 @@ from pathlib import Path
from typing import Generator, Optional, Sequence
import tiktoken
from decouple import config
from ktem.db.models import engine
from ktem.embeddings.manager import embedding_models_manager
from ktem.llms.manager import llms
@ -270,7 +271,7 @@ class DocumentRetrievalPipeline(BaseFileIndexRetriever):
},
"use_llm_reranking": {
"name": "Use LLM relevant scoring",
"value": True,
"value": not config("USE_LOW_LLM_REQUESTS", default=False, cast=bool),
"choices": [True, False],
"component": "checkbox",
},

View File

@ -5,6 +5,7 @@ from copy import deepcopy
from typing import Optional
import gradio as gr
from decouple import config
from ktem.app import BasePage
from ktem.components import reasonings
from ktem.db.models import Conversation, engine
@ -23,6 +24,7 @@ from theflow.utils.modules import import_dotted_string
from kotaemon.base import Document
from kotaemon.indices.ingests.files import KH_DEFAULT_FILE_EXTRACTORS
from kotaemon.indices.qa.utils import strip_think_tag
from ...utils import SUPPORTED_LANGUAGE_MAP, get_file_names_regex, get_urls
from ...utils.commands import WEB_SEARCH_COMMAND
@ -367,13 +369,22 @@ class ChatPage(BasePage):
elem_id="citation-dropdown",
)
self.use_mindmap = gr.State(value=True)
self.use_mindmap_check = gr.Checkbox(
label="Mindmap (on)",
container=False,
elem_id="use-mindmap-checkbox",
value=True,
)
if not config("USE_LOW_LLM_REQUESTS", default=False, cast=bool):
self.use_mindmap = gr.State(value=True)
self.use_mindmap_check = gr.Checkbox(
label="Mindmap (on)",
container=False,
elem_id="use-mindmap-checkbox",
value=True,
)
else:
self.use_mindmap = gr.State(value=False)
self.use_mindmap_check = gr.Checkbox(
label="Mindmap (off)",
container=False,
elem_id="use-mindmap-checkbox",
value=False,
)
with gr.Column(
scale=INFO_PANEL_SCALES[False], elem_id="chat-info-panel"
@ -1361,6 +1372,7 @@ class ChatPage(BasePage):
# check if this is a newly created conversation
if len(chat_history) == 1:
suggested_name = suggest_pipeline(chat_history).text
suggested_name = strip_think_tag(suggested_name)
suggested_name = suggested_name.replace('"', "").replace("'", "")[:40]
new_name = gr.update(value=suggested_name)
renamed = True

View File

@ -3,6 +3,7 @@ import threading
from textwrap import dedent
from typing import Generator
from decouple import config
from ktem.embeddings.manager import embedding_models_manager as embeddings
from ktem.llms.manager import llms
from ktem.reasoning.prompt_optimization import (
@ -29,6 +30,7 @@ from kotaemon.indices.qa.citation_qa import (
)
from kotaemon.indices.qa.citation_qa_inline import AnswerWithInlineCitation
from kotaemon.indices.qa.format_context import PrepareEvidencePipeline
from kotaemon.indices.qa.utils import replace_think_tag_with_details
from kotaemon.llms import ChatLLM
from ..utils import SUPPORTED_LANGUAGE_MAP
@ -313,6 +315,13 @@ class FullQAPipeline(BaseReasoning):
**kwargs,
)
# check <think> tag from reasoning models
processed_answer = replace_think_tag_with_details(answer.text)
if processed_answer != answer.text:
# clear the chat message and render again
yield Document(channel="chat", content=None)
yield Document(channel="chat", content=processed_answer)
# show the evidence
if scoring_thread:
scoring_thread.join()
@ -410,7 +419,11 @@ class FullQAPipeline(BaseReasoning):
},
"highlight_citation": {
"name": "Citation style",
"value": "highlight",
"value": (
"highlight"
if not config("USE_LOW_LLM_REQUESTS", default=False, cast=bool)
else "off"
),
"component": "radio",
"choices": [
("citation: highlight", "highlight"),