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Feat: add basic Langfuse support for LLM module (#6443)
### What problem does this PR solve? #6155 Add basic Langfuse support for LLM module. A trace example: <img width="755" alt="image" src="https://github.com/user-attachments/assets/25c1f852-5116-486c-a47f-6097187142ca" /> ### Type of change - [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Yongteng Lei
GitHub
parent
0b63346a1a
commit
85eb367ede
58
api/apps/langfuse_app.py
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58
api/apps/langfuse_app.py
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from flask import request
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from flask_login import current_user, login_required
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from langfuse import Langfuse
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from api.db.db_models import DB
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from api.db.services.langfuse_service import TenantLangfuseService
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from api.utils.api_utils import get_error_data_result, get_json_result, server_error_response, validate_request
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@manager.route("/set_api_key", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("secret_key", "public_key", "host")
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def set_api_key():
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req = request.get_json()
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secret_key = req.get("secret_key", "")
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public_key = req.get("public_key", "")
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host = req.get("host", "")
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if not all([secret_key, public_key, host]):
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return get_error_data_result(message="Missing required fields")
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langfuse_keys = dict(
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tenant_id=current_user.id,
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secret_key=secret_key,
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public_key=public_key,
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host=host,
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)
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langfuse = Langfuse(public_key=langfuse_keys["public_key"], secret_key=langfuse_keys["secret_key"], host=langfuse_keys["host"])
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if not langfuse.auth_check():
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return get_error_data_result(message="Invalid Langfuse keys")
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langfuse_entry = TenantLangfuseService.filter_by_tenant(tenant_id=current_user.id)
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with DB.atomic():
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try:
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if not langfuse_entry:
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TenantLangfuseService.save(**langfuse_keys)
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else:
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TenantLangfuseService.update_by_tenant(tenant_id=current_user.id, langfuse_keys=langfuse_keys)
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return get_json_result(data=True)
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except Exception as e:
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server_error_response(e)
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File diff suppressed because it is too large
Load Diff
@ -13,26 +13,29 @@
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# See the License for the specific language governing permissions and
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# limitations under the License.
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#
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#
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import logging
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import binascii
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import binascii
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import time
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import logging
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from functools import partial
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import re
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import re
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import time
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from copy import deepcopy
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from copy import deepcopy
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from functools import partial
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from timeit import default_timer as timer
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from timeit import default_timer as timer
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from langfuse import Langfuse
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from agentic_reasoning import DeepResearcher
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from agentic_reasoning import DeepResearcher
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from api import settings
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from api.db import LLMType, ParserType, StatusEnum
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from api.db import LLMType, ParserType, StatusEnum
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from api.db.db_models import Dialog, DB
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from api.db.db_models import DB, Dialog
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from api.db.services.common_service import CommonService
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from api.db.services.common_service import CommonService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from api.db.services.llm_service import TenantLLMService, LLMBundle
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from api.db.services.langfuse_service import TenantLangfuseService
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from api import settings
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from api.db.services.llm_service import LLMBundle, TenantLLMService
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from rag.app.resume import forbidden_select_fields4resume
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from rag.app.resume import forbidden_select_fields4resume
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from rag.app.tag import label_question
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from rag.app.tag import label_question
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from rag.nlp.search import index_name
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from rag.nlp.search import index_name
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from rag.prompts import kb_prompt, message_fit_in, llm_id2llm_type, keyword_extraction, full_question, chunks_format, \
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from rag.prompts import chunks_format, citation_prompt, full_question, kb_prompt, keyword_extraction, llm_id2llm_type, message_fit_in
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citation_prompt
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from rag.utils import num_tokens_from_string, rmSpace
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from rag.utils import rmSpace, num_tokens_from_string
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from rag.utils.tavily_conn import Tavily
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from rag.utils.tavily_conn import Tavily
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@ -41,17 +44,13 @@ class DialogService(CommonService):
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@classmethod
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@classmethod
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@DB.connection_context()
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@DB.connection_context()
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def get_list(cls, tenant_id,
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def get_list(cls, tenant_id, page_number, items_per_page, orderby, desc, id, name):
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page_number, items_per_page, orderby, desc, id, name):
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chats = cls.model.select()
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chats = cls.model.select()
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if id:
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if id:
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chats = chats.where(cls.model.id == id)
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chats = chats.where(cls.model.id == id)
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if name:
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if name:
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chats = chats.where(cls.model.name == name)
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chats = chats.where(cls.model.name == name)
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chats = chats.where(
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chats = chats.where((cls.model.tenant_id == tenant_id) & (cls.model.status == StatusEnum.VALID.value))
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(cls.model.tenant_id == tenant_id)
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& (cls.model.status == StatusEnum.VALID.value)
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)
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if desc:
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if desc:
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chats = chats.order_by(cls.model.getter_by(orderby).desc())
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chats = chats.order_by(cls.model.getter_by(orderby).desc())
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else:
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else:
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@ -72,13 +71,12 @@ def chat_solo(dialog, messages, stream=True):
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tts_mdl = None
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tts_mdl = None
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if prompt_config.get("tts"):
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if prompt_config.get("tts"):
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tts_mdl = LLMBundle(dialog.tenant_id, LLMType.TTS)
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tts_mdl = LLMBundle(dialog.tenant_id, LLMType.TTS)
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msg = [{"role": m["role"], "content": re.sub(r"##\d+\$\$", "", m["content"])}
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msg = [{"role": m["role"], "content": re.sub(r"##\d+\$\$", "", m["content"])} for m in messages if m["role"] != "system"]
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for m in messages if m["role"] != "system"]
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if stream:
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if stream:
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last_ans = ""
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last_ans = ""
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for ans in chat_mdl.chat_streamly(prompt_config.get("system", ""), msg, dialog.llm_setting):
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for ans in chat_mdl.chat_streamly(prompt_config.get("system", ""), msg, dialog.llm_setting):
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answer = ans
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answer = ans
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delta_ans = ans[len(last_ans):]
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delta_ans = ans[len(last_ans) :]
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if num_tokens_from_string(delta_ans) < 16:
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if num_tokens_from_string(delta_ans) < 16:
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continue
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continue
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last_ans = answer
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last_ans = answer
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@ -110,6 +108,16 @@ def chat(dialog, messages, stream=True, **kwargs):
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check_llm_ts = timer()
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check_llm_ts = timer()
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langfuse_tracer = None
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langfuse_keys = TenantLangfuseService.filter_by_tenant(tenant_id=dialog.tenant_id)
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if langfuse_keys:
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langfuse = Langfuse(public_key=langfuse_keys.public_key, secret_key=langfuse_keys.secret_key, host=langfuse_keys.host)
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if langfuse.auth_check():
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langfuse_tracer = langfuse
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langfuse.trace = langfuse_tracer.trace(name=f"{dialog.name}-{llm_model_config['llm_name']}")
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check_langfuse_tracer_ts = timer()
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kbs = KnowledgebaseService.get_by_ids(dialog.kb_ids)
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kbs = KnowledgebaseService.get_by_ids(dialog.kb_ids)
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embedding_list = list(set([kb.embd_id for kb in kbs]))
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embedding_list = list(set([kb.embd_id for kb in kbs]))
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if len(embedding_list) != 1:
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if len(embedding_list) != 1:
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@ -159,8 +167,7 @@ def chat(dialog, messages, stream=True, **kwargs):
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if p["key"] not in kwargs and not p["optional"]:
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if p["key"] not in kwargs and not p["optional"]:
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raise KeyError("Miss parameter: " + p["key"])
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raise KeyError("Miss parameter: " + p["key"])
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if p["key"] not in kwargs:
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if p["key"] not in kwargs:
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prompt_config["system"] = prompt_config["system"].replace(
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prompt_config["system"] = prompt_config["system"].replace("{%s}" % p["key"], " ")
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"{%s}" % p["key"], " ")
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if len(questions) > 1 and prompt_config.get("refine_multiturn"):
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if len(questions) > 1 and prompt_config.get("refine_multiturn"):
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questions = [full_question(dialog.tenant_id, dialog.llm_id, messages)]
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questions = [full_question(dialog.tenant_id, dialog.llm_id, messages)]
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@ -189,9 +196,11 @@ def chat(dialog, messages, stream=True, **kwargs):
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knowledges = []
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knowledges = []
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if prompt_config.get("reasoning", False):
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if prompt_config.get("reasoning", False):
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reasoner = DeepResearcher(chat_mdl,
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reasoner = DeepResearcher(
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prompt_config,
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chat_mdl,
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partial(retriever.retrieval, embd_mdl=embd_mdl, tenant_ids=tenant_ids, kb_ids=dialog.kb_ids, page=1, page_size=dialog.top_n, similarity_threshold=0.2, vector_similarity_weight=0.3))
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prompt_config,
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partial(retriever.retrieval, embd_mdl=embd_mdl, tenant_ids=tenant_ids, kb_ids=dialog.kb_ids, page=1, page_size=dialog.top_n, similarity_threshold=0.2, vector_similarity_weight=0.3),
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)
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for think in reasoner.thinking(kbinfos, " ".join(questions)):
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for think in reasoner.thinking(kbinfos, " ".join(questions)):
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if isinstance(think, str):
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if isinstance(think, str):
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@ -200,31 +209,34 @@ def chat(dialog, messages, stream=True, **kwargs):
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elif stream:
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elif stream:
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yield think
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yield think
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else:
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else:
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kbinfos = retriever.retrieval(" ".join(questions), embd_mdl, tenant_ids, dialog.kb_ids, 1, dialog.top_n,
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kbinfos = retriever.retrieval(
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dialog.similarity_threshold,
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" ".join(questions),
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dialog.vector_similarity_weight,
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embd_mdl,
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doc_ids=attachments,
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tenant_ids,
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top=dialog.top_k, aggs=False, rerank_mdl=rerank_mdl,
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dialog.kb_ids,
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rank_feature=label_question(" ".join(questions), kbs)
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1,
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)
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dialog.top_n,
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dialog.similarity_threshold,
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dialog.vector_similarity_weight,
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doc_ids=attachments,
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top=dialog.top_k,
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aggs=False,
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rerank_mdl=rerank_mdl,
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rank_feature=label_question(" ".join(questions), kbs),
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)
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if prompt_config.get("tavily_api_key"):
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if prompt_config.get("tavily_api_key"):
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tav = Tavily(prompt_config["tavily_api_key"])
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tav = Tavily(prompt_config["tavily_api_key"])
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tav_res = tav.retrieve_chunks(" ".join(questions))
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tav_res = tav.retrieve_chunks(" ".join(questions))
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kbinfos["chunks"].extend(tav_res["chunks"])
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kbinfos["chunks"].extend(tav_res["chunks"])
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kbinfos["doc_aggs"].extend(tav_res["doc_aggs"])
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kbinfos["doc_aggs"].extend(tav_res["doc_aggs"])
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if prompt_config.get("use_kg"):
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if prompt_config.get("use_kg"):
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ck = settings.kg_retrievaler.retrieval(" ".join(questions),
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ck = settings.kg_retrievaler.retrieval(" ".join(questions), tenant_ids, dialog.kb_ids, embd_mdl, LLMBundle(dialog.tenant_id, LLMType.CHAT))
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tenant_ids,
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dialog.kb_ids,
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embd_mdl,
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LLMBundle(dialog.tenant_id, LLMType.CHAT))
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if ck["content_with_weight"]:
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if ck["content_with_weight"]:
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kbinfos["chunks"].insert(0, ck)
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kbinfos["chunks"].insert(0, ck)
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knowledges = kb_prompt(kbinfos, max_tokens)
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knowledges = kb_prompt(kbinfos, max_tokens)
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logging.debug(
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logging.debug("{}->{}".format(" ".join(questions), "\n->".join(knowledges)))
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"{}->{}".format(" ".join(questions), "\n->".join(knowledges)))
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retrieval_ts = timer()
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retrieval_ts = timer()
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if not knowledges and prompt_config.get("empty_response"):
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if not knowledges and prompt_config.get("empty_response"):
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@ -239,16 +251,13 @@ def chat(dialog, messages, stream=True, **kwargs):
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prompt4citation = ""
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prompt4citation = ""
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if knowledges and (prompt_config.get("quote", True) and kwargs.get("quote", True)):
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if knowledges and (prompt_config.get("quote", True) and kwargs.get("quote", True)):
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prompt4citation = citation_prompt()
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prompt4citation = citation_prompt()
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msg.extend([{"role": m["role"], "content": re.sub(r"##\d+\$\$", "", m["content"])}
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msg.extend([{"role": m["role"], "content": re.sub(r"##\d+\$\$", "", m["content"])} for m in messages if m["role"] != "system"])
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for m in messages if m["role"] != "system"])
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used_token_count, msg = message_fit_in(msg, int(max_tokens * 0.95))
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used_token_count, msg = message_fit_in(msg, int(max_tokens * 0.95))
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assert len(msg) >= 2, f"message_fit_in has bug: {msg}"
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assert len(msg) >= 2, f"message_fit_in has bug: {msg}"
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prompt = msg[0]["content"]
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prompt = msg[0]["content"]
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if "max_tokens" in gen_conf:
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if "max_tokens" in gen_conf:
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gen_conf["max_tokens"] = min(
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gen_conf["max_tokens"] = min(gen_conf["max_tokens"], max_tokens - used_token_count)
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gen_conf["max_tokens"],
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max_tokens - used_token_count)
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def decorate_answer(answer):
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def decorate_answer(answer):
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nonlocal prompt_config, knowledges, kwargs, kbinfos, prompt, retrieval_ts, questions
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nonlocal prompt_config, knowledges, kwargs, kbinfos, prompt, retrieval_ts, questions
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@ -262,14 +271,14 @@ def chat(dialog, messages, stream=True, **kwargs):
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if knowledges and (prompt_config.get("quote", True) and kwargs.get("quote", True)):
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if knowledges and (prompt_config.get("quote", True) and kwargs.get("quote", True)):
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answer = re.sub(r"##[ij]\$\$", "", answer, flags=re.DOTALL)
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answer = re.sub(r"##[ij]\$\$", "", answer, flags=re.DOTALL)
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if not re.search(r"##[0-9]+\$\$", answer):
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if not re.search(r"##[0-9]+\$\$", answer):
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answer, idx = retriever.insert_citations(answer,
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answer, idx = retriever.insert_citations(
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[ck["content_ltks"]
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answer,
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for ck in kbinfos["chunks"]],
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[ck["content_ltks"] for ck in kbinfos["chunks"]],
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[ck["vector"]
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[ck["vector"] for ck in kbinfos["chunks"]],
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for ck in kbinfos["chunks"]],
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embd_mdl,
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embd_mdl,
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tkweight=1 - dialog.vector_similarity_weight,
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tkweight=1 - dialog.vector_similarity_weight,
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vtweight=dialog.vector_similarity_weight,
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vtweight=dialog.vector_similarity_weight)
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)
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else:
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else:
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idx = set([])
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idx = set([])
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for r in re.finditer(r"##([0-9]+)\$\$", answer):
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for r in re.finditer(r"##([0-9]+)\$\$", answer):
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@ -278,8 +287,7 @@ def chat(dialog, messages, stream=True, **kwargs):
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idx.add(i)
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idx.add(i)
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idx = set([kbinfos["chunks"][int(i)]["doc_id"] for i in idx])
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idx = set([kbinfos["chunks"][int(i)]["doc_id"] for i in idx])
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recall_docs = [
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recall_docs = [d for d in kbinfos["doc_aggs"] if d["doc_id"] in idx]
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d for d in kbinfos["doc_aggs"] if d["doc_id"] in idx]
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if not recall_docs:
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if not recall_docs:
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recall_docs = kbinfos["doc_aggs"]
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recall_docs = kbinfos["doc_aggs"]
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kbinfos["doc_aggs"] = recall_docs
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kbinfos["doc_aggs"] = recall_docs
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@ -295,7 +303,8 @@ def chat(dialog, messages, stream=True, **kwargs):
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total_time_cost = (finish_chat_ts - chat_start_ts) * 1000
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total_time_cost = (finish_chat_ts - chat_start_ts) * 1000
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check_llm_time_cost = (check_llm_ts - chat_start_ts) * 1000
|
check_llm_time_cost = (check_llm_ts - chat_start_ts) * 1000
|
||||||
create_retriever_time_cost = (create_retriever_ts - check_llm_ts) * 1000
|
check_langfuse_tracer_cost = (check_langfuse_tracer_ts - check_llm_ts) * 1000
|
||||||
|
create_retriever_time_cost = (create_retriever_ts - check_langfuse_tracer_ts) * 1000
|
||||||
bind_embedding_time_cost = (bind_embedding_ts - create_retriever_ts) * 1000
|
bind_embedding_time_cost = (bind_embedding_ts - create_retriever_ts) * 1000
|
||||||
bind_llm_time_cost = (bind_llm_ts - bind_embedding_ts) * 1000
|
bind_llm_time_cost = (bind_llm_ts - bind_embedding_ts) * 1000
|
||||||
refine_question_time_cost = (refine_question_ts - bind_llm_ts) * 1000
|
refine_question_time_cost = (refine_question_ts - bind_llm_ts) * 1000
|
||||||
@ -304,45 +313,54 @@ def chat(dialog, messages, stream=True, **kwargs):
|
|||||||
retrieval_time_cost = (retrieval_ts - generate_keyword_ts) * 1000
|
retrieval_time_cost = (retrieval_ts - generate_keyword_ts) * 1000
|
||||||
generate_result_time_cost = (finish_chat_ts - retrieval_ts) * 1000
|
generate_result_time_cost = (finish_chat_ts - retrieval_ts) * 1000
|
||||||
|
|
||||||
tk_num = num_tokens_from_string(think+answer)
|
tk_num = num_tokens_from_string(think + answer)
|
||||||
prompt += "\n\n### Query:\n%s" % " ".join(questions)
|
prompt += "\n\n### Query:\n%s" % " ".join(questions)
|
||||||
prompt = (
|
prompt = (
|
||||||
f"{prompt}\n\n"
|
f"{prompt}\n\n"
|
||||||
"## Time elapsed:\n"
|
"## Time elapsed:\n"
|
||||||
f" - Total: {total_time_cost:.1f}ms\n"
|
f" - Total: {total_time_cost:.1f}ms\n"
|
||||||
f" - Check LLM: {check_llm_time_cost:.1f}ms\n"
|
f" - Check LLM: {check_llm_time_cost:.1f}ms\n"
|
||||||
f" - Create retriever: {create_retriever_time_cost:.1f}ms\n"
|
f" - Check Langfuse tracer: {check_langfuse_tracer_cost:.1f}ms\n"
|
||||||
f" - Bind embedding: {bind_embedding_time_cost:.1f}ms\n"
|
f" - Create retriever: {create_retriever_time_cost:.1f}ms\n"
|
||||||
f" - Bind LLM: {bind_llm_time_cost:.1f}ms\n"
|
f" - Bind embedding: {bind_embedding_time_cost:.1f}ms\n"
|
||||||
f" - Tune question: {refine_question_time_cost:.1f}ms\n"
|
f" - Bind LLM: {bind_llm_time_cost:.1f}ms\n"
|
||||||
f" - Bind reranker: {bind_reranker_time_cost:.1f}ms\n"
|
f" - Tune question: {refine_question_time_cost:.1f}ms\n"
|
||||||
f" - Generate keyword: {generate_keyword_time_cost:.1f}ms\n"
|
f" - Bind reranker: {bind_reranker_time_cost:.1f}ms\n"
|
||||||
f" - Retrieval: {retrieval_time_cost:.1f}ms\n"
|
f" - Generate keyword: {generate_keyword_time_cost:.1f}ms\n"
|
||||||
f" - Generate answer: {generate_result_time_cost:.1f}ms\n\n"
|
f" - Retrieval: {retrieval_time_cost:.1f}ms\n"
|
||||||
"## Token usage:\n"
|
f" - Generate answer: {generate_result_time_cost:.1f}ms\n\n"
|
||||||
f" - Generated tokens(approximately): {tk_num}\n"
|
"## Token usage:\n"
|
||||||
f" - Token speed: {int(tk_num/(generate_result_time_cost/1000.))}/s"
|
f" - Generated tokens(approximately): {tk_num}\n"
|
||||||
|
f" - Token speed: {int(tk_num / (generate_result_time_cost / 1000.0))}/s"
|
||||||
)
|
)
|
||||||
return {"answer": think+answer, "reference": refs, "prompt": re.sub(r"\n", " \n", prompt), "created_at": time.time()}
|
|
||||||
|
langfuse_output = "\n" + re.sub(r"^.*?(### Query:.*)", r"\1", prompt, flags=re.DOTALL)
|
||||||
|
langfuse_output = {"time_elapsed:": re.sub(r"\n", " \n", langfuse_output), "created_at": time.time()}
|
||||||
|
langfuse_generation.end(output=langfuse_output)
|
||||||
|
|
||||||
|
return {"answer": think + answer, "reference": refs, "prompt": re.sub(r"\n", " \n", prompt), "created_at": time.time()}
|
||||||
|
|
||||||
|
if langfuse_tracer:
|
||||||
|
langfuse_generation = langfuse_tracer.trace.generation(name="chat", model=llm_model_config["llm_name"], input={"prompt": prompt, "prompt4citation": prompt4citation, "messages": msg})
|
||||||
|
|
||||||
if stream:
|
if stream:
|
||||||
last_ans = ""
|
last_ans = ""
|
||||||
answer = ""
|
answer = ""
|
||||||
for ans in chat_mdl.chat_streamly(prompt+prompt4citation, msg[1:], gen_conf):
|
for ans in chat_mdl.chat_streamly(prompt + prompt4citation, msg[1:], gen_conf):
|
||||||
if thought:
|
if thought:
|
||||||
ans = re.sub(r"<think>.*</think>", "", ans, flags=re.DOTALL)
|
ans = re.sub(r"<think>.*</think>", "", ans, flags=re.DOTALL)
|
||||||
answer = ans
|
answer = ans
|
||||||
delta_ans = ans[len(last_ans):]
|
delta_ans = ans[len(last_ans) :]
|
||||||
if num_tokens_from_string(delta_ans) < 16:
|
if num_tokens_from_string(delta_ans) < 16:
|
||||||
continue
|
continue
|
||||||
last_ans = answer
|
last_ans = answer
|
||||||
yield {"answer": thought+answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
|
yield {"answer": thought + answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
|
||||||
delta_ans = answer[len(last_ans):]
|
delta_ans = answer[len(last_ans) :]
|
||||||
if delta_ans:
|
if delta_ans:
|
||||||
yield {"answer": thought+answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
|
yield {"answer": thought + answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
|
||||||
yield decorate_answer(thought+answer)
|
yield decorate_answer(thought + answer)
|
||||||
else:
|
else:
|
||||||
answer = chat_mdl.chat(prompt+prompt4citation, msg[1:], gen_conf)
|
answer = chat_mdl.chat(prompt + prompt4citation, msg[1:], gen_conf)
|
||||||
user_content = msg[-1].get("content", "[content not available]")
|
user_content = msg[-1].get("content", "[content not available]")
|
||||||
logging.debug("User: {}|Assistant: {}".format(user_content, answer))
|
logging.debug("User: {}|Assistant: {}".format(user_content, answer))
|
||||||
res = decorate_answer(answer)
|
res = decorate_answer(answer)
|
||||||
@ -360,27 +378,22 @@ Table of database fields are as follows:
|
|||||||
Question are as follows:
|
Question are as follows:
|
||||||
{}
|
{}
|
||||||
Please write the SQL, only SQL, without any other explanations or text.
|
Please write the SQL, only SQL, without any other explanations or text.
|
||||||
""".format(
|
""".format(index_name(tenant_id), "\n".join([f"{k}: {v}" for k, v in field_map.items()]), question)
|
||||||
index_name(tenant_id),
|
|
||||||
"\n".join([f"{k}: {v}" for k, v in field_map.items()]),
|
|
||||||
question
|
|
||||||
)
|
|
||||||
tried_times = 0
|
tried_times = 0
|
||||||
|
|
||||||
def get_table():
|
def get_table():
|
||||||
nonlocal sys_prompt, user_prompt, question, tried_times
|
nonlocal sys_prompt, user_prompt, question, tried_times
|
||||||
sql = chat_mdl.chat(sys_prompt, [{"role": "user", "content": user_prompt}], {
|
sql = chat_mdl.chat(sys_prompt, [{"role": "user", "content": user_prompt}], {"temperature": 0.06})
|
||||||
"temperature": 0.06})
|
|
||||||
sql = re.sub(r"<think>.*</think>", "", sql, flags=re.DOTALL)
|
sql = re.sub(r"<think>.*</think>", "", sql, flags=re.DOTALL)
|
||||||
logging.debug(f"{question} ==> {user_prompt} get SQL: {sql}")
|
logging.debug(f"{question} ==> {user_prompt} get SQL: {sql}")
|
||||||
sql = re.sub(r"[\r\n]+", " ", sql.lower())
|
sql = re.sub(r"[\r\n]+", " ", sql.lower())
|
||||||
sql = re.sub(r".*select ", "select ", sql.lower())
|
sql = re.sub(r".*select ", "select ", sql.lower())
|
||||||
sql = re.sub(r" +", " ", sql)
|
sql = re.sub(r" +", " ", sql)
|
||||||
sql = re.sub(r"([;；]|```).*", "", sql)
|
sql = re.sub(r"([;；]|```).*", "", sql)
|
||||||
if sql[:len("select ")] != "select ":
|
if sql[: len("select ")] != "select ":
|
||||||
return None, None
|
return None, None
|
||||||
if not re.search(r"((sum|avg|max|min)\(|group by )", sql.lower()):
|
if not re.search(r"((sum|avg|max|min)\(|group by )", sql.lower()):
|
||||||
if sql[:len("select *")] != "select *":
|
if sql[: len("select *")] != "select *":
|
||||||
sql = "select doc_id,docnm_kwd," + sql[6:]
|
sql = "select doc_id,docnm_kwd," + sql[6:]
|
||||||
else:
|
else:
|
||||||
flds = []
|
flds = []
|
||||||
@ -417,11 +430,7 @@ Please write the SQL, only SQL, without any other explanations or text.
|
|||||||
{}
|
{}
|
||||||
|
|
||||||
Please correct the error and write SQL again, only SQL, without any other explanations or text.
|
Please correct the error and write SQL again, only SQL, without any other explanations or text.
|
||||||
""".format(
|
""".format(index_name(tenant_id), "\n".join([f"{k}: {v}" for k, v in field_map.items()]), question, sql, tbl["error"])
|
||||||
index_name(tenant_id),
|
|
||||||
"\n".join([f"{k}: {v}" for k, v in field_map.items()]),
|
|
||||||
question, sql, tbl["error"]
|
|
||||||
)
|
|
||||||
tbl, sql = get_table()
|
tbl, sql = get_table()
|
||||||
logging.debug("TRY it again: {}".format(sql))
|
logging.debug("TRY it again: {}".format(sql))
|
||||||
|
|
||||||
@ -429,24 +438,18 @@ Please write the SQL, only SQL, without any other explanations or text.
|
|||||||
if tbl.get("error") or len(tbl["rows"]) == 0:
|
if tbl.get("error") or len(tbl["rows"]) == 0:
|
||||||
return None
|
return None
|
||||||
|
|
||||||
docid_idx = set([ii for ii, c in enumerate(
|
docid_idx = set([ii for ii, c in enumerate(tbl["columns"]) if c["name"] == "doc_id"])
|
||||||
tbl["columns"]) if c["name"] == "doc_id"])
|
doc_name_idx = set([ii for ii, c in enumerate(tbl["columns"]) if c["name"] == "docnm_kwd"])
|
||||||
doc_name_idx = set([ii for ii, c in enumerate(
|
column_idx = [ii for ii in range(len(tbl["columns"])) if ii not in (docid_idx | doc_name_idx)]
|
||||||
tbl["columns"]) if c["name"] == "docnm_kwd"])
|
|
||||||
column_idx = [ii for ii in range(
|
|
||||||
len(tbl["columns"])) if ii not in (docid_idx | doc_name_idx)]
|
|
||||||
|
|
||||||
# compose Markdown table
|
# compose Markdown table
|
||||||
columns = "|" + "|".join([re.sub(r"(/.*|（[^（）]+）)", "", field_map.get(tbl["columns"][i]["name"],
|
columns = (
|
||||||
tbl["columns"][i]["name"])) for i in
|
"|" + "|".join([re.sub(r"(/.*|（[^（）]+）)", "", field_map.get(tbl["columns"][i]["name"], tbl["columns"][i]["name"])) for i in column_idx]) + ("|Source|" if docid_idx and docid_idx else "|")
|
||||||
column_idx]) + ("|Source|" if docid_idx and docid_idx else "|")
|
)
|
||||||
|
|
||||||
line = "|" + "|".join(["------" for _ in range(len(column_idx))]) + \
|
line = "|" + "|".join(["------" for _ in range(len(column_idx))]) + ("|------|" if docid_idx and docid_idx else "")
|
||||||
("|------|" if docid_idx and docid_idx else "")
|
|
||||||
|
|
||||||
rows = ["|" +
|
rows = ["|" + "|".join([rmSpace(str(r[i])) for i in column_idx]).replace("None", " ") + "|" for r in tbl["rows"]]
|
||||||
"|".join([rmSpace(str(r[i])) for i in column_idx]).replace("None", " ") +
|
|
||||||
"|" for r in tbl["rows"]]
|
|
||||||
rows = [r for r in rows if re.sub(r"[ |]+", "", r)]
|
rows = [r for r in rows if re.sub(r"[ |]+", "", r)]
|
||||||
if quota:
|
if quota:
|
||||||
rows = "\n".join([r + f" ##{ii}$$ |" for ii, r in enumerate(rows)])
|
rows = "\n".join([r + f" ##{ii}$$ |" for ii, r in enumerate(rows)])
|
||||||
@ -456,11 +459,7 @@ Please write the SQL, only SQL, without any other explanations or text.
|
|||||||
|
|
||||||
if not docid_idx or not doc_name_idx:
|
if not docid_idx or not doc_name_idx:
|
||||||
logging.warning("SQL missing field: " + sql)
|
logging.warning("SQL missing field: " + sql)
|
||||||
return {
|
return {"answer": "\n".join([columns, line, rows]), "reference": {"chunks": [], "doc_aggs": []}, "prompt": sys_prompt}
|
||||||
"answer": "\n".join([columns, line, rows]),
|
|
||||||
"reference": {"chunks": [], "doc_aggs": []},
|
|
||||||
"prompt": sys_prompt
|
|
||||||
}
|
|
||||||
|
|
||||||
docid_idx = list(docid_idx)[0]
|
docid_idx = list(docid_idx)[0]
|
||||||
doc_name_idx = list(doc_name_idx)[0]
|
doc_name_idx = list(doc_name_idx)[0]
|
||||||
@ -471,10 +470,11 @@ Please write the SQL, only SQL, without any other explanations or text.
|
|||||||
doc_aggs[r[docid_idx]]["count"] += 1
|
doc_aggs[r[docid_idx]]["count"] += 1
|
||||||
return {
|
return {
|
||||||
"answer": "\n".join([columns, line, rows]),
|
"answer": "\n".join([columns, line, rows]),
|
||||||
"reference": {"chunks": [{"doc_id": r[docid_idx], "docnm_kwd": r[doc_name_idx]} for r in tbl["rows"]],
|
"reference": {
|
||||||
"doc_aggs": [{"doc_id": did, "doc_name": d["doc_name"], "count": d["count"]} for did, d in
|
"chunks": [{"doc_id": r[docid_idx], "docnm_kwd": r[doc_name_idx]} for r in tbl["rows"]],
|
||||||
doc_aggs.items()]},
|
"doc_aggs": [{"doc_id": did, "doc_name": d["doc_name"], "count": d["count"]} for did, d in doc_aggs.items()],
|
||||||
"prompt": sys_prompt
|
},
|
||||||
|
"prompt": sys_prompt,
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
@ -498,10 +498,7 @@ def ask(question, kb_ids, tenant_id):
|
|||||||
chat_mdl = LLMBundle(tenant_id, LLMType.CHAT)
|
chat_mdl = LLMBundle(tenant_id, LLMType.CHAT)
|
||||||
max_tokens = chat_mdl.max_length
|
max_tokens = chat_mdl.max_length
|
||||||
tenant_ids = list(set([kb.tenant_id for kb in kbs]))
|
tenant_ids = list(set([kb.tenant_id for kb in kbs]))
|
||||||
kbinfos = retriever.retrieval(question, embd_mdl, tenant_ids, kb_ids,
|
kbinfos = retriever.retrieval(question, embd_mdl, tenant_ids, kb_ids, 1, 12, 0.1, 0.3, aggs=False, rank_feature=label_question(question, kbs))
|
||||||
1, 12, 0.1, 0.3, aggs=False,
|
|
||||||
rank_feature=label_question(question, kbs)
|
|
||||||
)
|
|
||||||
knowledges = kb_prompt(kbinfos, max_tokens)
|
knowledges = kb_prompt(kbinfos, max_tokens)
|
||||||
prompt = """
|
prompt = """
|
||||||
Role: You're a smart assistant. Your name is Miss R.
|
Role: You're a smart assistant. Your name is Miss R.
|
||||||
@ -523,17 +520,9 @@ def ask(question, kb_ids, tenant_id):
|
|||||||
|
|
||||||
def decorate_answer(answer):
|
def decorate_answer(answer):
|
||||||
nonlocal knowledges, kbinfos, prompt
|
nonlocal knowledges, kbinfos, prompt
|
||||||
answer, idx = retriever.insert_citations(answer,
|
answer, idx = retriever.insert_citations(answer, [ck["content_ltks"] for ck in kbinfos["chunks"]], [ck["vector"] for ck in kbinfos["chunks"]], embd_mdl, tkweight=0.7, vtweight=0.3)
|
||||||
[ck["content_ltks"]
|
|
||||||
for ck in kbinfos["chunks"]],
|
|
||||||
[ck["vector"]
|
|
||||||
for ck in kbinfos["chunks"]],
|
|
||||||
embd_mdl,
|
|
||||||
tkweight=0.7,
|
|
||||||
vtweight=0.3)
|
|
||||||
idx = set([kbinfos["chunks"][int(i)]["doc_id"] for i in idx])
|
idx = set([kbinfos["chunks"][int(i)]["doc_id"] for i in idx])
|
||||||
recall_docs = [
|
recall_docs = [d for d in kbinfos["doc_aggs"] if d["doc_id"] in idx]
|
||||||
d for d in kbinfos["doc_aggs"] if d["doc_id"] in idx]
|
|
||||||
if not recall_docs:
|
if not recall_docs:
|
||||||
recall_docs = kbinfos["doc_aggs"]
|
recall_docs = kbinfos["doc_aggs"]
|
||||||
kbinfos["doc_aggs"] = recall_docs
|
kbinfos["doc_aggs"] = recall_docs
|
||||||
|
|||||||
56
api/db/services/langfuse_service.py
Normal file
56
api/db/services/langfuse_service.py
Normal file
@ -0,0 +1,56 @@
|
|||||||
|
#
|
||||||
|
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
|
||||||
|
#
|
||||||
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||||
|
# you may not use this file except in compliance with the License.
|
||||||
|
# You may obtain a copy of the License at
|
||||||
|
#
|
||||||
|
# http://www.apache.org/licenses/LICENSE-2.0
|
||||||
|
#
|
||||||
|
# Unless required by applicable law or agreed to in writing, software
|
||||||
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||||
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||||
|
# See the License for the specific language governing permissions and
|
||||||
|
# limitations under the License.
|
||||||
|
#
|
||||||
|
|
||||||
|
from datetime import datetime
|
||||||
|
|
||||||
|
import peewee
|
||||||
|
|
||||||
|
from api.db.db_models import DB, TenantLangfuse
|
||||||
|
from api.db.services.common_service import CommonService
|
||||||
|
from api.utils import current_timestamp, datetime_format
|
||||||
|
|
||||||
|
|
||||||
|
class TenantLangfuseService(CommonService):
|
||||||
|
"""
|
||||||
|
All methods that modify the status should be enclosed within a DB.atomic() context to ensure atomicity
|
||||||
|
and maintain data integrity in case of errors during execution.
|
||||||
|
"""
|
||||||
|
|
||||||
|
model = TenantLangfuse
|
||||||
|
|
||||||
|
@classmethod
|
||||||
|
@DB.connection_context()
|
||||||
|
def filter_by_tenant(cls, tenant_id):
|
||||||
|
fields = [cls.model.host, cls.model.secret_key, cls.model.public_key]
|
||||||
|
try:
|
||||||
|
keys = cls.model.select(*fields).where(cls.model.tenant_id == tenant_id).first()
|
||||||
|
return keys
|
||||||
|
except peewee.DoesNotExist:
|
||||||
|
return None
|
||||||
|
|
||||||
|
@classmethod
|
||||||
|
def update_by_tenant(cls, tenant_id, langfuse_keys):
|
||||||
|
fields = ["tenant_id", "host", "secret_key", "public_key"]
|
||||||
|
return cls.model.update(**langfuse_keys).fields(*fields).where(cls.model.tenant_id == tenant_id).execute()
|
||||||
|
|
||||||
|
@classmethod
|
||||||
|
def save(cls, **kwargs):
|
||||||
|
kwargs["create_time"] = current_timestamp()
|
||||||
|
kwargs["create_date"] = datetime_format(datetime.now())
|
||||||
|
kwargs["update_time"] = current_timestamp()
|
||||||
|
kwargs["update_date"] = datetime_format(datetime.now())
|
||||||
|
obj = cls.model.create(**kwargs)
|
||||||
|
return obj
|
||||||
@ -15,10 +15,13 @@
|
|||||||
#
|
#
|
||||||
import logging
|
import logging
|
||||||
|
|
||||||
|
from langfuse import Langfuse
|
||||||
|
|
||||||
from api import settings
|
from api import settings
|
||||||
from api.db import LLMType
|
from api.db import LLMType
|
||||||
from api.db.db_models import DB, LLM, LLMFactories, TenantLLM
|
from api.db.db_models import DB, LLM, LLMFactories, TenantLLM
|
||||||
from api.db.services.common_service import CommonService
|
from api.db.services.common_service import CommonService
|
||||||
|
from api.db.services.langfuse_service import TenantLangfuseService
|
||||||
from api.db.services.user_service import TenantService
|
from api.db.services.user_service import TenantService
|
||||||
from rag.llm import ChatModel, CvModel, EmbeddingModel, RerankModel, Seq2txtModel, TTSModel
|
from rag.llm import ChatModel, CvModel, EmbeddingModel, RerankModel, Seq2txtModel, TTSModel
|
||||||
|
|
||||||
@ -49,16 +52,8 @@ class TenantLLMService(CommonService):
|
|||||||
@classmethod
|
@classmethod
|
||||||
@DB.connection_context()
|
@DB.connection_context()
|
||||||
def get_my_llms(cls, tenant_id):
|
def get_my_llms(cls, tenant_id):
|
||||||
fields = [
|
fields = [cls.model.llm_factory, LLMFactories.logo, LLMFactories.tags, cls.model.model_type, cls.model.llm_name, cls.model.used_tokens]
|
||||||
cls.model.llm_factory,
|
objs = cls.model.select(*fields).join(LLMFactories, on=(cls.model.llm_factory == LLMFactories.name)).where(cls.model.tenant_id == tenant_id, ~cls.model.api_key.is_null()).dicts()
|
||||||
LLMFactories.logo,
|
|
||||||
LLMFactories.tags,
|
|
||||||
cls.model.model_type,
|
|
||||||
cls.model.llm_name,
|
|
||||||
cls.model.used_tokens
|
|
||||||
]
|
|
||||||
objs = cls.model.select(*fields).join(LLMFactories, on=(cls.model.llm_factory == LLMFactories.name)).where(
|
|
||||||
cls.model.tenant_id == tenant_id, ~cls.model.api_key.is_null()).dicts()
|
|
||||||
|
|
||||||
return list(objs)
|
return list(objs)
|
||||||
|
|
||||||
@ -114,8 +109,7 @@ class TenantLLMService(CommonService):
|
|||||||
model_config = {"llm_factory": llm[0].fid, "api_key": "", "llm_name": mdlnm, "api_base": ""}
|
model_config = {"llm_factory": llm[0].fid, "api_key": "", "llm_name": mdlnm, "api_base": ""}
|
||||||
if not model_config:
|
if not model_config:
|
||||||
if mdlnm == "flag-embedding":
|
if mdlnm == "flag-embedding":
|
||||||
model_config = {"llm_factory": "Tongyi-Qianwen", "api_key": "",
|
model_config = {"llm_factory": "Tongyi-Qianwen", "api_key": "", "llm_name": llm_name, "api_base": ""}
|
||||||
"llm_name": llm_name, "api_base": ""}
|
|
||||||
else:
|
else:
|
||||||
if not mdlnm:
|
if not mdlnm:
|
||||||
raise LookupError(f"Type of {llm_type} model is not set.")
|
raise LookupError(f"Type of {llm_type} model is not set.")
|
||||||
@ -124,43 +118,32 @@ class TenantLLMService(CommonService):
|
|||||||
|
|
||||||
@classmethod
|
@classmethod
|
||||||
@DB.connection_context()
|
@DB.connection_context()
|
||||||
def model_instance(cls, tenant_id, llm_type,
|
def model_instance(cls, tenant_id, llm_type, llm_name=None, lang="Chinese"):
|
||||||
llm_name=None, lang="Chinese"):
|
|
||||||
model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
|
model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
|
||||||
if llm_type == LLMType.EMBEDDING.value:
|
if llm_type == LLMType.EMBEDDING.value:
|
||||||
if model_config["llm_factory"] not in EmbeddingModel:
|
if model_config["llm_factory"] not in EmbeddingModel:
|
||||||
return
|
return
|
||||||
return EmbeddingModel[model_config["llm_factory"]](
|
return EmbeddingModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
||||||
model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
|
||||||
|
|
||||||
if llm_type == LLMType.RERANK:
|
if llm_type == LLMType.RERANK:
|
||||||
if model_config["llm_factory"] not in RerankModel:
|
if model_config["llm_factory"] not in RerankModel:
|
||||||
return
|
return
|
||||||
return RerankModel[model_config["llm_factory"]](
|
return RerankModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
||||||
model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
|
||||||
|
|
||||||
if llm_type == LLMType.IMAGE2TEXT.value:
|
if llm_type == LLMType.IMAGE2TEXT.value:
|
||||||
if model_config["llm_factory"] not in CvModel:
|
if model_config["llm_factory"] not in CvModel:
|
||||||
return
|
return
|
||||||
return CvModel[model_config["llm_factory"]](
|
return CvModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], lang, base_url=model_config["api_base"])
|
||||||
model_config["api_key"], model_config["llm_name"], lang,
|
|
||||||
base_url=model_config["api_base"]
|
|
||||||
)
|
|
||||||
|
|
||||||
if llm_type == LLMType.CHAT.value:
|
if llm_type == LLMType.CHAT.value:
|
||||||
if model_config["llm_factory"] not in ChatModel:
|
if model_config["llm_factory"] not in ChatModel:
|
||||||
return
|
return
|
||||||
return ChatModel[model_config["llm_factory"]](
|
return ChatModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
||||||
model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
|
|
||||||
|
|
||||||
if llm_type == LLMType.SPEECH2TEXT:
|
if llm_type == LLMType.SPEECH2TEXT:
|
||||||
if model_config["llm_factory"] not in Seq2txtModel:
|
if model_config["llm_factory"] not in Seq2txtModel:
|
||||||
return
|
return
|
||||||
return Seq2txtModel[model_config["llm_factory"]](
|
return Seq2txtModel[model_config["llm_factory"]](key=model_config["api_key"], model_name=model_config["llm_name"], lang=lang, base_url=model_config["api_base"])
|
||||||
key=model_config["api_key"], model_name=model_config["llm_name"],
|
|
||||||
lang=lang,
|
|
||||||
base_url=model_config["api_base"]
|
|
||||||
)
|
|
||||||
if llm_type == LLMType.TTS:
|
if llm_type == LLMType.TTS:
|
||||||
if model_config["llm_factory"] not in TTSModel:
|
if model_config["llm_factory"] not in TTSModel:
|
||||||
return
|
return
|
||||||
@ -184,7 +167,7 @@ class TenantLLMService(CommonService):
|
|||||||
LLMType.IMAGE2TEXT.value: tenant.img2txt_id,
|
LLMType.IMAGE2TEXT.value: tenant.img2txt_id,
|
||||||
LLMType.CHAT.value: tenant.llm_id if not llm_name else llm_name,
|
LLMType.CHAT.value: tenant.llm_id if not llm_name else llm_name,
|
||||||
LLMType.RERANK.value: tenant.rerank_id if not llm_name else llm_name,
|
LLMType.RERANK.value: tenant.rerank_id if not llm_name else llm_name,
|
||||||
LLMType.TTS.value: tenant.tts_id if not llm_name else llm_name
|
LLMType.TTS.value: tenant.tts_id if not llm_name else llm_name,
|
||||||
}
|
}
|
||||||
|
|
||||||
mdlnm = llm_map.get(llm_type)
|
mdlnm = llm_map.get(llm_type)
|
||||||
@ -195,17 +178,13 @@ class TenantLLMService(CommonService):
|
|||||||
llm_name, llm_factory = TenantLLMService.split_model_name_and_factory(mdlnm)
|
llm_name, llm_factory = TenantLLMService.split_model_name_and_factory(mdlnm)
|
||||||
|
|
||||||
try:
|
try:
|
||||||
num = cls.model.update(
|
num = (
|
||||||
used_tokens=cls.model.used_tokens + used_tokens
|
cls.model.update(used_tokens=cls.model.used_tokens + used_tokens)
|
||||||
).where(
|
.where(cls.model.tenant_id == tenant_id, cls.model.llm_name == llm_name, cls.model.llm_factory == llm_factory if llm_factory else True)
|
||||||
cls.model.tenant_id == tenant_id,
|
.execute()
|
||||||
cls.model.llm_name == llm_name,
|
)
|
||||||
cls.model.llm_factory == llm_factory if llm_factory else True
|
|
||||||
).execute()
|
|
||||||
except Exception:
|
except Exception:
|
||||||
logging.exception(
|
logging.exception("TenantLLMService.increase_usage got exception,Failed to update used_tokens for tenant_id=%s, llm_name=%s", tenant_id, llm_name)
|
||||||
"TenantLLMService.increase_usage got exception,Failed to update used_tokens for tenant_id=%s, llm_name=%s",
|
|
||||||
tenant_id, llm_name)
|
|
||||||
return 0
|
return 0
|
||||||
|
|
||||||
return num
|
return num
|
||||||
@ -213,11 +192,7 @@ class TenantLLMService(CommonService):
|
|||||||
@classmethod
|
@classmethod
|
||||||
@DB.connection_context()
|
@DB.connection_context()
|
||||||
def get_openai_models(cls):
|
def get_openai_models(cls):
|
||||||
objs = cls.model.select().where(
|
objs = cls.model.select().where((cls.model.llm_factory == "OpenAI"), ~(cls.model.llm_name == "text-embedding-3-small"), ~(cls.model.llm_name == "text-embedding-3-large")).dicts()
|
||||||
(cls.model.llm_factory == "OpenAI"),
|
|
||||||
~(cls.model.llm_name == "text-embedding-3-small"),
|
|
||||||
~(cls.model.llm_name == "text-embedding-3-large")
|
|
||||||
).dicts()
|
|
||||||
return list(objs)
|
return list(objs)
|
||||||
|
|
||||||
|
|
||||||
@ -226,87 +201,138 @@ class LLMBundle:
|
|||||||
self.tenant_id = tenant_id
|
self.tenant_id = tenant_id
|
||||||
self.llm_type = llm_type
|
self.llm_type = llm_type
|
||||||
self.llm_name = llm_name
|
self.llm_name = llm_name
|
||||||
self.mdl = TenantLLMService.model_instance(
|
self.mdl = TenantLLMService.model_instance(tenant_id, llm_type, llm_name, lang=lang)
|
||||||
tenant_id, llm_type, llm_name, lang=lang)
|
assert self.mdl, "Can't find model for {}/{}/{}".format(tenant_id, llm_type, llm_name)
|
||||||
assert self.mdl, "Can't find model for {}/{}/{}".format(
|
|
||||||
tenant_id, llm_type, llm_name)
|
|
||||||
model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
|
model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
|
||||||
self.max_length = model_config.get("max_tokens", 8192)
|
self.max_length = model_config.get("max_tokens", 8192)
|
||||||
|
|
||||||
|
langfuse_keys = TenantLangfuseService.filter_by_tenant(tenant_id=tenant_id)
|
||||||
|
if langfuse_keys:
|
||||||
|
langfuse = Langfuse(public_key=langfuse_keys.public_key, secret_key=langfuse_keys.secret_key, host=langfuse_keys.host)
|
||||||
|
if langfuse.auth_check():
|
||||||
|
self.langfuse = langfuse
|
||||||
|
self.trace = self.langfuse.trace(name=f"{self.llm_type}-{self.llm_name}")
|
||||||
|
else:
|
||||||
|
self.langfuse = None
|
||||||
|
|
||||||
def encode(self, texts: list):
|
def encode(self, texts: list):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="encode", model=self.llm_name, input={"texts": texts})
|
||||||
|
|
||||||
embeddings, used_tokens = self.mdl.encode(texts)
|
embeddings, used_tokens = self.mdl.encode(texts)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.encode can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.encode can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return embeddings, used_tokens
|
return embeddings, used_tokens
|
||||||
|
|
||||||
def encode_queries(self, query: str):
|
def encode_queries(self, query: str):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="encode_queries", model=self.llm_name, input={"query": query})
|
||||||
|
|
||||||
emd, used_tokens = self.mdl.encode_queries(query)
|
emd, used_tokens = self.mdl.encode_queries(query)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.encode_queries can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.encode_queries can't update token usage for {}/EMBEDDING used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return emd, used_tokens
|
return emd, used_tokens
|
||||||
|
|
||||||
def similarity(self, query: str, texts: list):
|
def similarity(self, query: str, texts: list):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="similarity", model=self.llm_name, input={"query": query, "texts": texts})
|
||||||
|
|
||||||
sim, used_tokens = self.mdl.similarity(query, texts)
|
sim, used_tokens = self.mdl.similarity(query, texts)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.similarity can't update token usage for {}/RERANK used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.similarity can't update token usage for {}/RERANK used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return sim, used_tokens
|
return sim, used_tokens
|
||||||
|
|
||||||
def describe(self, image, max_tokens=300):
|
def describe(self, image, max_tokens=300):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="describe", metadata={"model": self.llm_name})
|
||||||
|
|
||||||
txt, used_tokens = self.mdl.describe(image, max_tokens)
|
txt, used_tokens = self.mdl.describe(image, max_tokens)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.describe can't update token usage for {}/IMAGE2TEXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.describe can't update token usage for {}/IMAGE2TEXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(output={"output": txt}, usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return txt
|
return txt
|
||||||
|
|
||||||
def describe_with_prompt(self, image, prompt):
|
def describe_with_prompt(self, image, prompt):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="describe_with_prompt", metadata={"model": self.llm_name, "prompt": prompt})
|
||||||
|
|
||||||
txt, used_tokens = self.mdl.describe_with_prompt(image, prompt)
|
txt, used_tokens = self.mdl.describe_with_prompt(image, prompt)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.describe can't update token usage for {}/IMAGE2TEXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.describe can't update token usage for {}/IMAGE2TEXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(output={"output": txt}, usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return txt
|
return txt
|
||||||
|
|
||||||
def transcription(self, audio):
|
def transcription(self, audio):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="transcription", metadata={"model": self.llm_name})
|
||||||
|
|
||||||
txt, used_tokens = self.mdl.transcription(audio)
|
txt, used_tokens = self.mdl.transcription(audio)
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
|
||||||
self.tenant_id, self.llm_type, used_tokens):
|
logging.error("LLMBundle.transcription can't update token usage for {}/SEQUENCE2TXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.transcription can't update token usage for {}/SEQUENCE2TXT used_tokens: {}".format(self.tenant_id, used_tokens))
|
if self.langfuse:
|
||||||
|
generation.end(output={"output": txt}, usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return txt
|
return txt
|
||||||
|
|
||||||
def tts(self, text):
|
def tts(self, text):
|
||||||
|
if self.langfuse:
|
||||||
|
span = self.trace.span(name="tts", input={"text": text})
|
||||||
|
|
||||||
for chunk in self.mdl.tts(text):
|
for chunk in self.mdl.tts(text):
|
||||||
if isinstance(chunk, int):
|
if isinstance(chunk, int):
|
||||||
if not TenantLLMService.increase_usage(
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, chunk, self.llm_name):
|
||||||
self.tenant_id, self.llm_type, chunk, self.llm_name):
|
logging.error("LLMBundle.tts can't update token usage for {}/TTS".format(self.tenant_id))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.tts can't update token usage for {}/TTS".format(self.tenant_id))
|
|
||||||
return
|
return
|
||||||
yield chunk
|
yield chunk
|
||||||
|
|
||||||
|
if self.langfuse:
|
||||||
|
span.end()
|
||||||
|
|
||||||
def chat(self, system, history, gen_conf):
|
def chat(self, system, history, gen_conf):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="chat", model=self.llm_name, input={"system": system, "history": history})
|
||||||
|
|
||||||
txt, used_tokens = self.mdl.chat(system, history, gen_conf)
|
txt, used_tokens = self.mdl.chat(system, history, gen_conf)
|
||||||
if isinstance(txt, int) and not TenantLLMService.increase_usage(
|
if isinstance(txt, int) and not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens, self.llm_name):
|
||||||
self.tenant_id, self.llm_type, used_tokens, self.llm_name):
|
logging.error("LLMBundle.chat can't update token usage for {}/CHAT llm_name: {}, used_tokens: {}".format(self.tenant_id, self.llm_name, used_tokens))
|
||||||
logging.error(
|
|
||||||
"LLMBundle.chat can't update token usage for {}/CHAT llm_name: {}, used_tokens: {}".format(self.tenant_id, self.llm_name,
|
if self.langfuse:
|
||||||
used_tokens))
|
generation.end(output={"output": txt}, usage_details={"total_tokens": used_tokens})
|
||||||
|
|
||||||
return txt
|
return txt
|
||||||
|
|
||||||
def chat_streamly(self, system, history, gen_conf):
|
def chat_streamly(self, system, history, gen_conf):
|
||||||
|
if self.langfuse:
|
||||||
|
generation = self.trace.generation(name="chat_streamly", model=self.llm_name, input={"system": system, "history": history})
|
||||||
|
|
||||||
|
output = ""
|
||||||
for txt in self.mdl.chat_streamly(system, history, gen_conf):
|
for txt in self.mdl.chat_streamly(system, history, gen_conf):
|
||||||
if isinstance(txt, int):
|
if isinstance(txt, int):
|
||||||
if not TenantLLMService.increase_usage(
|
if self.langfuse:
|
||||||
self.tenant_id, self.llm_type, txt, self.llm_name):
|
generation.end(output={"output": output})
|
||||||
logging.error(
|
|
||||||
"LLMBundle.chat_streamly can't update token usage for {}/CHAT llm_name: {}, content: {}".format(self.tenant_id, self.llm_name,
|
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, txt, self.llm_name):
|
||||||
txt))
|
logging.error("LLMBundle.chat_streamly can't update token usage for {}/CHAT llm_name: {}, content: {}".format(self.tenant_id, self.llm_name, txt))
|
||||||
return
|
return
|
||||||
|
|
||||||
|
output = txt
|
||||||
yield txt
|
yield txt
|
||||||
|
|||||||
@ -124,6 +124,7 @@ dependencies = [
|
|||||||
"flasgger>=0.9.7.1,<0.10.0",
|
"flasgger>=0.9.7.1,<0.10.0",
|
||||||
"xxhash>=3.5.0,<4.0.0",
|
"xxhash>=3.5.0,<4.0.0",
|
||||||
"trio>=0.29.0",
|
"trio>=0.29.0",
|
||||||
|
"langfuse>=2.60.0",
|
||||||
]
|
]
|
||||||
|
|
||||||
[project.optional-dependencies]
|
[project.optional-dependencies]
|
||||||
|
|||||||
427
uv.lock
generated
427
uv.lock
generated
@ -1,4 +1,5 @@
|
|||||||
version = 1
|
version = 1
|
||||||
|
revision = 1
|
||||||
requires-python = ">=3.10, <3.13"
|
requires-python = ">=3.10, <3.13"
|
||||||
resolution-markers = [
|
resolution-markers = [
|
||||||
"python_full_version >= '3.12' and sys_platform == 'darwin'",
|
"python_full_version >= '3.12' and sys_platform == 'darwin'",
|
||||||
@ -14,7 +15,7 @@ resolution-markers = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "accelerate"
|
name = "accelerate"
|
||||||
version = "1.5.1"
|
version = "1.5.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "huggingface-hub" },
|
{ name = "huggingface-hub" },
|
||||||
@ -25,9 +26,9 @@ dependencies = [
|
|||||||
{ name = "safetensors" },
|
{ name = "safetensors" },
|
||||||
{ name = "torch" },
|
{ name = "torch" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/64/fb/10daafb0efbb1af95d782c9907004bd50fcfd74d6e11e6a91945df37768e/accelerate-1.5.1.tar.gz", hash = "sha256:5d936faf3a31894c6160f2f2a984a38aecbba760ef919ae298b2ecd57ea9bf87" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a9/4c/a61132924da12cef62a88c04b5825246ab83dcc1bae6291d098cfcb0b72d/accelerate-1.5.2.tar.gz", hash = "sha256:a1cf39473edc0e42772a9d9a18c9eb1ce8ffd9e1719dc0ab80670f5c1fd4dc43" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/4b/ef/2723a3c53d06619dac38c1630bac3d9b7aec91e1a18a82a08b93696b8baf/accelerate-1.5.1-py3-none-any.whl", hash = "sha256:4838cff9ed1bb0ddc9d967530ced62a1d74ea21cdb57688400359ab32682f03e" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/70/83/167d4b638bb758a966828eb8d23c5e7047825edfdf768ff5f4fb01440063/accelerate-1.5.2-py3-none-any.whl", hash = "sha256:68a3b272f6a6ffebb457bdc138581a2bf52efad6a5e0214dc46675f3edd98792" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -41,7 +42,7 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "aiohttp"
|
name = "aiohttp"
|
||||||
version = "3.11.13"
|
version = "3.11.14"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "aiohappyeyeballs" },
|
{ name = "aiohappyeyeballs" },
|
||||||
@ -53,56 +54,56 @@ dependencies = [
|
|||||||
{ name = "propcache" },
|
{ name = "propcache" },
|
||||||
{ name = "yarl" },
|
{ name = "yarl" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/b3/3f/c4a667d184c69667b8f16e0704127efc5f1e60577df429382b4d95fd381e/aiohttp-3.11.13.tar.gz", hash = "sha256:8ce789231404ca8fff7f693cdce398abf6d90fd5dae2b1847477196c243b1fbb" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/6c/96/91e93ae5fd04d428c101cdbabce6c820d284d61d2614d00518f4fa52ea24/aiohttp-3.11.14.tar.gz", hash = "sha256:d6edc538c7480fa0a3b2bdd705f8010062d74700198da55d16498e1b49549b9c" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/f2/49/18bde4fbe1f98a12fb548741e65b27c5f0991c1af4ad15c86b537a4ce94a/aiohttp-3.11.13-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a4fe27dbbeec445e6e1291e61d61eb212ee9fed6e47998b27de71d70d3e8777d" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/6a/e1/f1ccc6cf29a31fb33e4eaa07a9d8e4dff00e23b32423b679cdb89536fe71/aiohttp-3.11.14-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e2bc827c01f75803de77b134afdbf74fa74b62970eafdf190f3244931d7a5c0d" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/99/24/417e5ab7074f5c97c9a794b6acdc59f47f2231d43e4d5cec06150035e61e/aiohttp-3.11.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9e64ca2dbea28807f8484c13f684a2f761e69ba2640ec49dacd342763cc265ef" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/80/7d/195965f183a724d0470560b097543e96dc4a672fc2714012d1be87d6775c/aiohttp-3.11.14-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e365034c5cf6cf74f57420b57682ea79e19eb29033399dd3f40de4d0171998fa" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/76/93/159d3a2561bc6d64d32f779d08b17570b1c5fe55b985da7e2df9b3a4ff8f/aiohttp-3.11.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9840be675de208d1f68f84d578eaa4d1a36eee70b16ae31ab933520c49ba1325" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/46/02/3a4f05e966c2edeace5103f40d296ba0159cee633ab0f162fbea579653e3/aiohttp-3.11.14-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c32593ead1a8c6aabd58f9d7ee706e48beac796bb0cb71d6b60f2c1056f0a65f" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/18/bc/ed0dce45da90d4618ae14e677abbd704aec02e0f54820ea3815c156f0759/aiohttp-3.11.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28a772757c9067e2aee8a6b2b425d0efaa628c264d6416d283694c3d86da7689" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/68/a6/c96cd5452af267fdda1cf46accc356d1295fb14da4a7a0e081567ea297af/aiohttp-3.11.14-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b4e7c7ec4146a94a307ca4f112802a8e26d969018fabed526efc340d21d3e7d0" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/75/10/c1e6d59030fcf04ccc253193607b5b7ced0caffd840353e109c51134e5e9/aiohttp-3.11.13-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b88aca5adbf4625e11118df45acac29616b425833c3be7a05ef63a6a4017bfdb" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/7f/f4/e50ef78483485bcdae9cf29c9144af2b42457e18175a6ace7c560d89325e/aiohttp-3.11.14-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c8b2df9feac55043759aa89f722a967d977d80f8b5865a4153fc41c93b957efc" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/2d/8e/da1a20fbd2c961f824dc8efeb8d31c32ed4af761c87de83032ad4c4f5237/aiohttp-3.11.13-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ce10ddfbe26ed5856d6902162f71b8fe08545380570a885b4ab56aecfdcb07f4" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/8b/92/b6bd4b89304eee827cf07a40b98af171342cddfa1f8b02b55cd0485b9d4f/aiohttp-3.11.14-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c7571f99525c76a6280f5fe8e194eeb8cb4da55586c3c61c59c33a33f10cfce7" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/fa/9e/d0bbdc82236c3fe43b28b3338a13ef9b697b0f7a875b33b950b975cab1f6/aiohttp-3.11.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa48dac27f41b36735c807d1ab093a8386701bbf00eb6b89a0f69d9fa26b3671" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/c7/21/f3230a9f78bb4a4c4462040bf8425ebb673e3773dd17fd9d06d1af43a955/aiohttp-3.11.14-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b59d096b5537ec7c85954cb97d821aae35cfccce3357a2cafe85660cc6295628" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/ed/14/248ed0385baeee854e495ca7f33b48bb151d1b226ddbf1585bdeb2301fbf/aiohttp-3.11.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:89ce611b1eac93ce2ade68f1470889e0173d606de20c85a012bfa24be96cf867" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/8e/12/e4fd2616950a39425b739476c3eccc820061ea5f892815566d27282e7825/aiohttp-3.11.14-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b42dbd097abb44b3f1156b4bf978ec5853840802d6eee2784857be11ee82c6a0" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/20/b0/b2ad9d24fe85db8330034ac45dde67799af40ca2363c0c9b30126e204ef3/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:78e4dd9c34ec7b8b121854eb5342bac8b02aa03075ae8618b6210a06bbb8a115" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/6a/7c/3f82c2fdcca53cc8732fa342abbe0372bbbd8af3162d6629ac0a7dc8b281/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b05774864c87210c531b48dfeb2f7659407c2dda8643104fb4ae5e2c311d12d9" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/11/c6/03bdcb73a67a380b9593d52613ea88edd21ddc4ff5aaf06d4f807dfa2220/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:66047eacbc73e6fe2462b77ce39fc170ab51235caf331e735eae91c95e6a11e4" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/aa/3e/60af2d40f78612062788c2bf6be38738f9525750d3a7678d31f950047536/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:4e2e8ef37d4bc110917d038807ee3af82700a93ab2ba5687afae5271b8bc50ff" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/0d/ae/e45491c8ca4d1e30ff031fb25b44842e16c326f8467026c3eb2a9c167608/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:5ad8f1c19fe277eeb8bc45741c6d60ddd11d705c12a4d8ee17546acff98e0802" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/08/71/93e11c4ef9a72f5f26d7e9f92294707437fae8de49c2019ed713dea7625b/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:e9faafa74dbb906b2b6f3eb9942352e9e9db8d583ffed4be618a89bd71a4e914" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/19/89/10eb37351dd2b52928a54768a70a58171e43d7914685fe3feec8f681d905/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:64815c6f02e8506b10113ddbc6b196f58dbef135751cc7c32136df27b736db09" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/da/4b/77b170ae7eb9859d80b9648a7439991425663f66422f3ef0b27f29bde9d0/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:7e7abe865504f41b10777ac162c727af14e9f4db9262e3ed8254179053f63e6d" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/a4/fd/492dec170df6ea57bef4bcd26374befdc170b10ba9ac7f51a0214943c20a/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:967b93f21b426f23ca37329230d5bd122f25516ae2f24a9cea95a30023ff8283" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/02/0b/5fcad20243799e9a3f326140d3d767884449e293fb5d8fca10f83001787c/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:4848ae31ad44330b30f16c71e4f586cd5402a846b11264c412de99fa768f00f3" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/70/46/ef8a02cb171d4779ca1632bc8ac0c5bb89729b091e2a3f4b895d688146b5/aiohttp-3.11.13-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:cf1f31f83d16ec344136359001c5e871915c6ab685a3d8dee38e2961b4c81730" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/3f/e3/bb454add253f939c7331794b2619c156ef5a108403000221ff2dc01f9072/aiohttp-3.11.14-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2d0b46abee5b5737cb479cc9139b29f010a37b1875ee56d142aefc10686a390b" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/8a/03/b1b552d1112b72da94bd1f9f5efb8adbcbbafaa8d495fc0924cd80493f17/aiohttp-3.11.13-cp310-cp310-win32.whl", hash = "sha256:00c8ac69e259c60976aa2edae3f13d9991cf079aaa4d3cd5a49168ae3748dee3" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/6f/08/6b061de352a614461a4a19e60a87e578fe28e1d3fca38315484a17ff484f/aiohttp-3.11.14-cp310-cp310-win32.whl", hash = "sha256:a0d2c04a623ab83963576548ce098baf711a18e2c32c542b62322a0b4584b990" },
|
||||||
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{ url = "https://mirrors.aliyun.com/pypi/packages/71/87/89b979391de840c5d7c34e78e1148cc731b8aafa84b6a51d02f44b4c66e2/aiohttp-3.11.13-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9b5b37c863ad5b0892cc7a4ceb1e435e5e6acd3f2f8d3e11fa56f08d3c67b820" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/68/b7/5216590b99b5b1f18989221c25ac9d9a14a7b0c3c4ae1ff728e906c36430/aiohttp-3.11.14-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9e73fa341d8b308bb799cf0ab6f55fc0461d27a9fa3e4582755a3d81a6af8c09" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/a7/db/a463700ac85b72f8cf68093e988538faaf4e865e3150aa165cf80ee29d6e/aiohttp-3.11.13-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:e06cf4852ce8c4442a59bae5a3ea01162b8fcb49ab438d8548b8dc79375dad8a" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/a5/c2/c27061c4ab93fa25f925c7ebddc10c20d992dbbc329e89d493811299dc93/aiohttp-3.11.14-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:51ba80d473eb780a329d73ac8afa44aa71dfb521693ccea1dea8b9b5c4df45ce" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/b8/32/1084e65da3adfb08c7e1b3e94f3e4ded8bd707dee265a412bc377b7cd000/aiohttp-3.11.13-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:5194143927e494616e335d074e77a5dac7cd353a04755330c9adc984ac5a628e" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/09/f5/11b2da82f2c52365a5b760a4e944ae50a89cf5fb207024b7853615254584/aiohttp-3.11.14-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:8d1dd75aa4d855c7debaf1ef830ff2dfcc33f893c7db0af2423ee761ebffd22b" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/a0/bb/a634cbdd97ce5d05c2054a9a35bfc32792d7e4f69d600ad7e820571d095b/aiohttp-3.11.13-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:afcb6b275c2d2ba5d8418bf30a9654fa978b4f819c2e8db6311b3525c86fe637" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/03/7f/145e23fe0a4c45b256f14c3268ada5497d487786334721ae8a0c818ee516/aiohttp-3.11.14-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:41cf0cefd9e7b5c646c2ef529c8335e7eafd326f444cc1cdb0c47b6bc836f9be" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/fd/cf/7d29db4e5c28ec316e5d2ac9ac9df0e2e278e9ea910e5c4205b9b64c2c42/aiohttp-3.11.13-cp312-cp312-win32.whl", hash = "sha256:7104d5b3943c6351d1ad7027d90bdd0ea002903e9f610735ac99df3b81f102ee" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/1c/78/627dba6ee9fb9439e2e29b521adb1135877a9c7b54811fec5c46e59f2fc8/aiohttp-3.11.14-cp312-cp312-win32.whl", hash = "sha256:948abc8952aff63de7b2c83bfe3f211c727da3a33c3a5866a0e2cf1ee1aa950f" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/65/a9/13e69ad4fd62104ebd94617f9f2be58231b50bb1e6bac114f024303ac23b/aiohttp-3.11.13-cp312-cp312-win_amd64.whl", hash = "sha256:47dc018b1b220c48089b5b9382fbab94db35bef2fa192995be22cbad3c5730c8" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/3f/5f/1737cf6fcf0524693a4aeff8746530b65422236761e7bfdd79c6d2ce2e1c/aiohttp-3.11.14-cp312-cp312-win_amd64.whl", hash = "sha256:3b420d076a46f41ea48e5fcccb996f517af0d406267e31e6716f480a3d50d65c" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -149,9 +150,10 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "akshare"
|
name = "akshare"
|
||||||
version = "1.16.44"
|
version = "1.16.60"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
|
{ name = "aiohttp" },
|
||||||
{ name = "akracer", marker = "sys_platform == 'linux'" },
|
{ name = "akracer", marker = "sys_platform == 'linux'" },
|
||||||
{ name = "beautifulsoup4" },
|
{ name = "beautifulsoup4" },
|
||||||
{ name = "decorator" },
|
{ name = "decorator" },
|
||||||
@ -159,6 +161,7 @@ dependencies = [
|
|||||||
{ name = "jsonpath" },
|
{ name = "jsonpath" },
|
||||||
{ name = "lxml" },
|
{ name = "lxml" },
|
||||||
{ name = "mini-racer", marker = "sys_platform != 'linux'" },
|
{ name = "mini-racer", marker = "sys_platform != 'linux'" },
|
||||||
|
{ name = "nest-asyncio" },
|
||||||
{ name = "openpyxl" },
|
{ name = "openpyxl" },
|
||||||
{ name = "pandas" },
|
{ name = "pandas" },
|
||||||
{ name = "py-mini-racer", marker = "sys_platform == 'linux'" },
|
{ name = "py-mini-racer", marker = "sys_platform == 'linux'" },
|
||||||
@ -168,9 +171,9 @@ dependencies = [
|
|||||||
{ name = "urllib3" },
|
{ name = "urllib3" },
|
||||||
{ name = "xlrd" },
|
{ name = "xlrd" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/23/39/d431fcc82ec60a48f0e658d6ef5d7e8d08a7b948435da2d40185a4f84841/akshare-1.16.44.tar.gz", hash = "sha256:11cdb794bcf349b1aea208b9f0f697642b387947617a00f61eac674520a4040d" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/46/0a/cd9dacaec5b437fd10a21f022c90e055adade935375d47230b2e6ae6b609/akshare-1.16.60.tar.gz", hash = "sha256:f7ce998316954e64c737d99da2afb37275f94f6447d4bb9af83691b135b12c81" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/ce/67/93d2f437da14c20ef04d63de7815a1171727037d173ca364323ebdbdb2a4/akshare-1.16.44-py3-none-any.whl", hash = "sha256:f22af3ab0ef85143444880f93fd62b89eb62ee1945f3cfb02cc66e44d4cfcff2" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/67/a9/dcd31299b4eb4d098148aef115e104d20d3d38dd36b0336510f44635c533/akshare-1.16.60-py3-none-any.whl", hash = "sha256:d8a5c8611dbffc0deddce7b2c3fdb168f0cd053fc0ebc5f0a4ac775c539db9d2" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -212,7 +215,7 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "anyio"
|
name = "anyio"
|
||||||
version = "4.8.0"
|
version = "4.9.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
|
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
|
||||||
@ -220,9 +223,9 @@ dependencies = [
|
|||||||
{ name = "sniffio" },
|
{ name = "sniffio" },
|
||||||
{ name = "typing-extensions" },
|
{ name = "typing-extensions" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a3/73/199a98fc2dae33535d6b8e8e6ec01f8c1d76c9adb096c6b7d64823038cde/anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/46/eb/e7f063ad1fec6b3178a3cd82d1a3c4de82cccf283fc42746168188e1cdd5/anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -327,11 +330,11 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "attrs"
|
name = "attrs"
|
||||||
version = "25.2.0"
|
version = "25.3.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/69/82/3c4e1d44f3cbaa2a578127d641fe385ba3bff6c38b789447ae11a21fa413/attrs-25.2.0.tar.gz", hash = "sha256:18a06db706db43ac232cce80443fcd9f2500702059ecf53489e3c5a3f417acaf" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/03/33/7a7388b9ef94aab40539939d94461ec682afbd895458945ed25be07f03f6/attrs-25.2.0-py3-none-any.whl", hash = "sha256:611344ff0a5fed735d86d7784610c84f8126b95e549bcad9ff61b4242f2d386b" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -415,6 +418,15 @@ wheels = [
|
|||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2" },
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "backoff"
|
||||||
|
version = "2.2.1"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/47/d7/5bbeb12c44d7c4f2fb5b56abce497eb5ed9f34d85701de869acedd602619/backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/df/73/b6e24bd22e6720ca8ee9a85a0c4a2971af8497d8f3193fa05390cbd46e09/backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8" },
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "bce-python-sdk"
|
name = "bce-python-sdk"
|
||||||
version = "0.9.29"
|
version = "0.9.29"
|
||||||
@ -1059,7 +1071,7 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "datasets"
|
name = "datasets"
|
||||||
version = "3.3.2"
|
version = "3.4.1"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "aiohttp" },
|
{ name = "aiohttp" },
|
||||||
@ -1077,9 +1089,9 @@ dependencies = [
|
|||||||
{ name = "tqdm" },
|
{ name = "tqdm" },
|
||||||
{ name = "xxhash" },
|
{ name = "xxhash" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/73/0c/dc3d172104e78e68f7a60386664adbf61db5d10c2246b31ddad06c2d1cb3/datasets-3.3.2.tar.gz", hash = "sha256:20901a97da870fb80b407ccc45f034a7ac99accd07da897ed42f11641bdb8c6e" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/99/4b/40cda74a4e0e58450b0c85a737e134ab5df65e6f5c33c5e175db5d6a5227/datasets-3.4.1.tar.gz", hash = "sha256:e23968da79bc014ef9f7540eeb7771c6180eae82c86ebcfcc10535a03caf08b5" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/4c/37/22ef7675bef4ffe9577b937ddca2e22791534cbbe11c30714972a91532dc/datasets-3.3.2-py3-none-any.whl", hash = "sha256:fdaf3d5d70242621210b044e9b9b15a56e908bfc3e9d077bcf5605ac390f70bd" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/16/44/5de560a2625d31801895fb2663693df210c6465960d61a99192caa9afd63/datasets-3.4.1-py3-none-any.whl", hash = "sha256:b91cf257bd64132fa9d953dd4768ab6d63205597301f132a74271cfcce8b5dd3" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1087,9 +1099,6 @@ name = "datrie"
|
|||||||
version = "0.8.2"
|
version = "0.8.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9d/fe/db74bd405d515f06657f11ad529878fd389576dca4812bea6f98d9b31574/datrie-0.8.2.tar.gz", hash = "sha256:525b08f638d5cf6115df6ccd818e5a01298cd230b2dac91c8ff2e6499d18765d" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9d/fe/db74bd405d515f06657f11ad529878fd389576dca4812bea6f98d9b31574/datrie-0.8.2.tar.gz", hash = "sha256:525b08f638d5cf6115df6ccd818e5a01298cd230b2dac91c8ff2e6499d18765d" }
|
||||||
wheels = [
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/44/02/53f0cf0bf0cd629ba6c2cc13f2f9db24323459e9c19463783d890a540a96/datrie-0.8.2-pp273-pypy_73-win32.whl", hash = "sha256:b07bd5fdfc3399a6dab86d6e35c72b1dbd598e80c97509c7c7518ab8774d3fda" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "decorator"
|
name = "decorator"
|
||||||
@ -1189,16 +1198,16 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "duckduckgo-search"
|
name = "duckduckgo-search"
|
||||||
version = "7.5.1"
|
version = "7.5.3"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "click" },
|
{ name = "click" },
|
||||||
{ name = "lxml" },
|
{ name = "lxml" },
|
||||||
{ name = "primp" },
|
{ name = "primp" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/92/82/ad9c916cb72aa35383ee6722d03a5f10581270abb269325e597923e325df/duckduckgo_search-7.5.1.tar.gz", hash = "sha256:54d18bfcda75c485232a868552bea1cc7c52d82472a73f0c7791613e98d32137" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/f2/2b/0b6874f96405ce474f97fd3bd890aee8bd73cf3ed42f1cb754c911a3cde8/duckduckgo_search-7.5.3.tar.gz", hash = "sha256:401757168f9c3521919bfc5e11b4e1a28cc6cde94c5326ff0eed683d27830fa9" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/dd/c1/61db65e96cb4d7834e9973d8c8202c8e7c21611c0e84261ac82bcf88e954/duckduckgo_search-7.5.1-py3-none-any.whl", hash = "sha256:66edb228eed4a32d1f8437ce1d0ff9468f9eba6678c1685e7b43e80156cdc66e" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/ad/eb/89e19ce7bb9aecf6ca4453af8314545c85389852ee0edda8424f549abe74/duckduckgo_search-7.5.3-py3-none-any.whl", hash = "sha256:0a5ae49f437d12caeb2ddf2f639057801b8dd7114fa1d1bda3aca15c31eae93f" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1733,7 +1742,7 @@ grpc = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "google-api-python-client"
|
name = "google-api-python-client"
|
||||||
version = "2.164.0"
|
version = "2.165.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "google-api-core" },
|
{ name = "google-api-core" },
|
||||||
@ -1742,9 +1751,9 @@ dependencies = [
|
|||||||
{ name = "httplib2" },
|
{ name = "httplib2" },
|
||||||
{ name = "uritemplate" },
|
{ name = "uritemplate" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/32/5b/4ed16fac5ef6928d0c1ca0fba42f27e73938f04729ef97e63d7a7bb5fd6d/google_api_python_client-2.164.0.tar.gz", hash = "sha256:116f5a05dfb95ed7f7ea0d0f561fc5464146709c583226cc814690f9bb221492" }
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sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d5/b5/46e6a866407e1d620d6722e7f5e076c3908801b6bc122e0908ea92b9d78f/google_api_python_client-2.165.0.tar.gz", hash = "sha256:0d2aee76727a104705630bebbc43669c864b766924e9329051ef7b7e2468eb72" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/94/0d/4eacf5bff40a42e6be3086b85164f0624fee9724c11bb2c79305fbc2f355/google_api_python_client-2.164.0-py2.py3-none-any.whl", hash = "sha256:b2037c3d280793c8d5180b04317b16be4acd5f77af5dfa7213ace32d140a9ffe" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/9d/dc/432b2b61e2335dc20196f543b5c84400d246c8cdfb8169fea183e7a0c52d/google_api_python_client-2.165.0-py2.py3-none-any.whl", hash = "sha256:4eaab7d4a20be0d3d1dde462fa95e9e0ccc2a3e177a656701bf73fe738ddef7d" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1829,7 +1838,7 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "google-cloud-resource-manager"
|
name = "google-cloud-resource-manager"
|
||||||
version = "1.14.1"
|
version = "1.14.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "google-api-core", extra = ["grpc"] },
|
{ name = "google-api-core", extra = ["grpc"] },
|
||||||
@ -1838,9 +1847,9 @@ dependencies = [
|
|||||||
{ name = "proto-plus" },
|
{ name = "proto-plus" },
|
||||||
{ name = "protobuf" },
|
{ name = "protobuf" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/76/9d/da2e07d064926fc0d84c5f179006148cfa6fcffe6fd7aabdbf86dd20c46c/google_cloud_resource_manager-1.14.1.tar.gz", hash = "sha256:41e9e546aaa03d5160cdfa2341dbe81ef7596706c300a89b94c429f1f3411f87" }
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sdist = { url = "https://mirrors.aliyun.com/pypi/packages/6e/ca/a4648f5038cb94af4b3942815942a03aa9398f9fb0bef55b3f1585b9940d/google_cloud_resource_manager-1.14.2.tar.gz", hash = "sha256:962e2d904c550d7bac48372607904ff7bb3277e3bb4a36d80cc9a37e28e6eb74" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/47/be/ffdba56168f7e3778cd002a35fc0e94c608f088f6df24d2b980538389d71/google_cloud_resource_manager-1.14.1-py2.py3-none-any.whl", hash = "sha256:68340599f85ebf07a6e18487e460ea07cc15e132068f6b188786d01c2cf25518" },
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|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1862,28 +1871,30 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "google-crc32c"
|
name = "google-crc32c"
|
||||||
version = "1.6.0"
|
version = "1.7.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
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source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
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||||||
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||||||
wheels = [
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||||||
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|
||||||
|
{ url = "https://mirrors.aliyun.com/pypi/packages/ff/8b/f8f4af175f99ad209cac2787592322ab711eff0ea67777be938557a89d5c/google_crc32c-1.7.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:731921158ef113bf157b8e65f13303d627fb540f173a410260f2fb7570af644c" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1927,14 +1938,14 @@ sdist = { url = "https://mirrors.aliyun.com/pypi/packages/77/30/b3a6f6a2e00f8153
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "googleapis-common-protos"
|
name = "googleapis-common-protos"
|
||||||
version = "1.69.1"
|
version = "1.69.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "protobuf" },
|
{ name = "protobuf" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/41/4f/d8be74b88621131dfd1ed70e5aff2c47f2bdf2289a70736bbf3eb0e7bc70/googleapis_common_protos-1.69.1.tar.gz", hash = "sha256:e20d2d8dda87da6fe7340afbbdf4f0bcb4c8fae7e6cadf55926c31f946b0b9b1" }
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|
||||||
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||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/16/cb/2f4aa605b16df1e031dd7c322c597613eef933e8dd5b6a4414330b21e791/googleapis_common_protos-1.69.1-py2.py3-none-any.whl", hash = "sha256:4077f27a6900d5946ee5a369fab9c8ded4c0ef1c6e880458ea2f70c14f7b70d5" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/f9/53/d35476d547a286506f0a6a634ccf1e5d288fffd53d48f0bd5fef61d68684/googleapis_common_protos-1.69.2-py3-none-any.whl", hash = "sha256:0b30452ff9c7a27d80bfc5718954063e8ab53dd3697093d3bc99581f5fd24212" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.optional-dependencies]
|
[package.optional-dependencies]
|
||||||
@ -2046,16 +2057,16 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "grpc-google-iam-v1"
|
name = "grpc-google-iam-v1"
|
||||||
version = "0.14.1"
|
version = "0.14.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "googleapis-common-protos", extra = ["grpc"] },
|
{ name = "googleapis-common-protos", extra = ["grpc"] },
|
||||||
{ name = "grpcio" },
|
{ name = "grpcio" },
|
||||||
{ name = "protobuf" },
|
{ name = "protobuf" },
|
||||||
]
|
]
|
||||||
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|
||||||
wheels = [
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wheels = [
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||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/18/c1/00672fe34c8e7abe4e4956774daed7bfcf5805341dcb103457922f6ef83c/grpc_google_iam_v1-0.14.1-py2.py3-none-any.whl", hash = "sha256:b4eca35b2231dd76066ebf1728f3cd30d51034db946827ef63ef138da14eea16" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/66/6f/dd9b178aee7835b96c2e63715aba6516a9d50f6bebbd1cc1d32c82a2a6c3/grpc_google_iam_v1-0.14.2-py3-none-any.whl", hash = "sha256:a3171468459770907926d56a440b2bb643eec1d7ba215f48f3ecece42b4d8351" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -2418,24 +2429,24 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "iniconfig"
|
name = "iniconfig"
|
||||||
version = "2.0.0"
|
version = "2.1.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d7/4b/cbd8e699e64a6f16ca3a8220661b5f83792b3017d0f79807cb8708d33913/iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3" }
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|
||||||
wheels = [
|
wheels = [
|
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{ url = "https://mirrors.aliyun.com/pypi/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/2c/e1/e6716421ea10d38022b952c159d5161ca1193197fb744506875fbb87ea7b/iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "inscriptis"
|
name = "inscriptis"
|
||||||
version = "2.5.3"
|
version = "2.6.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "lxml" },
|
{ name = "lxml" },
|
||||||
{ name = "requests" },
|
{ name = "requests" },
|
||||||
]
|
]
|
||||||
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|
||||||
wheels = [
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|
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{ url = "https://mirrors.aliyun.com/pypi/packages/3f/5d/642b7314560ef3f529d4d2dcc65e63f36a745d1b330a23e6d4bcf2d66974/inscriptis-2.5.3-py3-none-any.whl", hash = "sha256:25962cf5a60b1a8f33e7bfbbea08a29af82299702339b9b90c538653a5c7aa38" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/5e/c4/e1a68d42fa4609231da5f14e159c3d6256fb9e2951928592cebf7c899379/inscriptis-2.6.0-py3-none-any.whl", hash = "sha256:654dbcd0551c2f6004f8069a05cafff3eed2d327d5057adc6e657ba2610f52af" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -2666,6 +2677,25 @@ wheels = [
|
|||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/3a/1d/50ad811d1c5dae091e4cf046beba925bcae0a610e79ae4c538f996f63ed5/kiwisolver-1.4.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:65ea09a5a3faadd59c2ce96dc7bf0f364986a315949dc6374f04396b0d60e09b" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/3a/1d/50ad811d1c5dae091e4cf046beba925bcae0a610e79ae4c538f996f63ed5/kiwisolver-1.4.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:65ea09a5a3faadd59c2ce96dc7bf0f364986a315949dc6374f04396b0d60e09b" },
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "langfuse"
|
||||||
|
version = "2.60.1"
|
||||||
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "anyio" },
|
||||||
|
{ name = "backoff" },
|
||||||
|
{ name = "httpx" },
|
||||||
|
{ name = "idna" },
|
||||||
|
{ name = "packaging" },
|
||||||
|
{ name = "pydantic" },
|
||||||
|
{ name = "requests" },
|
||||||
|
{ name = "wrapt" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/ee/03/0eb9cb8abe4ea7f77636e6fe06361c8bbc43b2e4eed51750d4bc792dff0b/langfuse-2.60.1.tar.gz", hash = "sha256:9801337b35d992630b4a15be20b7926d5abc114023260f1fb7151715f524fb91" }
|
||||||
|
wheels = [
|
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|
{ url = "https://mirrors.aliyun.com/pypi/packages/41/d1/8b61f332f37b89770ef93ebbf8649ce2ae1c07d5f2acba5c15ea1a7dcf6c/langfuse-2.60.1-py3-none-any.whl", hash = "sha256:0147c0b74a88c57fb73f486cc9ab0c30aacd30963fefa23723611274c3fda900" },
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "litellm"
|
name = "litellm"
|
||||||
version = "1.48.0"
|
version = "1.48.0"
|
||||||
@ -2991,14 +3021,14 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "mistune"
|
name = "mistune"
|
||||||
version = "3.1.2"
|
version = "3.1.3"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||||
]
|
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|
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|
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{ url = "https://mirrors.aliyun.com/pypi/packages/01/4d/23c4e4f09da849e127e9f123241946c23c1e30f45a88366879e064211815/mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -3082,15 +3112,14 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "msal-extensions"
|
name = "msal-extensions"
|
||||||
version = "1.2.0"
|
version = "1.3.1"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "msal" },
|
{ name = "msal" },
|
||||||
{ name = "portalocker" },
|
|
||||||
]
|
]
|
||||||
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|
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wheels = [
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{ url = "https://mirrors.aliyun.com/pypi/packages/2c/69/314d887a01599669fb330da14e5c6ff5f138609e322812a942a74ef9b765/msal_extensions-1.2.0-py3-none-any.whl", hash = "sha256:cf5ba83a2113fa6dc011a254a72f1c223c88d7dfad74cc30617c4679a417704d" },
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|
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|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -3124,59 +3153,59 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
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|
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|
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|
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|
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||||||
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||||||
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||||||
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{ url = "https://mirrors.aliyun.com/pypi/packages/b2/e8/1b92184ab7e5595bf38000587e6f8cf9556ebd1bf0a583619bee2057afbd/pycryptodomex-3.20.0-cp35-abi3-win_amd64.whl", hash = "sha256:2a47bcc478741b71273b917232f521fd5704ab4b25d301669879e7273d3586cc" },
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{ url = "https://mirrors.aliyun.com/pypi/packages/b2/e8/1b92184ab7e5595bf38000587e6f8cf9556ebd1bf0a583619bee2057afbd/pycryptodomex-3.20.0-cp35-abi3-win_amd64.whl", hash = "sha256:2a47bcc478741b71273b917232f521fd5704ab4b25d301669879e7273d3586cc" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/e7/c5/9140bb867141d948c8e242013ec8a8011172233c898dfdba0a2417c3169a/pycryptodomex-3.20.0-pp27-pypy_73-manylinux2010_x86_64.whl", hash = "sha256:1be97461c439a6af4fe1cf8bf6ca5936d3db252737d2f379cc6b2e394e12a458" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/5e/6a/04acb4978ce08ab16890c70611ebc6efd251681341617bbb9e53356dee70/pycryptodomex-3.20.0-pp27-pypy_73-win32.whl", hash = "sha256:19764605feea0df966445d46533729b645033f134baeb3ea26ad518c9fdf212c" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/eb/df/3f1ea084e43b91e6d2b6b3493cc948864c17ea5d93ff1261a03812fbfd1a/pycryptodomex-3.20.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f2e497413560e03421484189a6b65e33fe800d3bd75590e6d78d4dfdb7accf3b" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/eb/df/3f1ea084e43b91e6d2b6b3493cc948864c17ea5d93ff1261a03812fbfd1a/pycryptodomex-3.20.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f2e497413560e03421484189a6b65e33fe800d3bd75590e6d78d4dfdb7accf3b" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/c9/f3/83ffbdfa0c8f9154bcd8866895f6cae5a3ec749da8b0840603cf936c4412/pycryptodomex-3.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e48217c7901edd95f9f097feaa0388da215ed14ce2ece803d3f300b4e694abea" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/c9/f3/83ffbdfa0c8f9154bcd8866895f6cae5a3ec749da8b0840603cf936c4412/pycryptodomex-3.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e48217c7901edd95f9f097feaa0388da215ed14ce2ece803d3f300b4e694abea" },
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/c9/9d/c113e640aaf02af5631ae2686b742aac5cd0e1402b9d6512b1c7ec5ef05d/pycryptodomex-3.20.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d00fe8596e1cc46b44bf3907354e9377aa030ec4cd04afbbf6e899fc1e2a7781" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/c9/9d/c113e640aaf02af5631ae2686b742aac5cd0e1402b9d6512b1c7ec5ef05d/pycryptodomex-3.20.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d00fe8596e1cc46b44bf3907354e9377aa030ec4cd04afbbf6e899fc1e2a7781" },
|
||||||
@ -4359,9 +4383,9 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyicu"
|
name = "pyicu"
|
||||||
version = "2.14"
|
version = "2.15"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/52/21/4e9b0a3ace3027fc63107fa2b5d6e66e321e104da071d787856962fbad52/PyICU-2.14.tar.gz", hash = "sha256:acc7eb92bd5c554ed577249c6978450a4feda0aa6f01470152b3a7b382a02132" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/57/34/10b57cb7bb2ec6fd04d97384ab7ea4422edb3e30ffa8cf4e5524954e8f2c/PyICU-2.15.tar.gz", hash = "sha256:241bf4e73851524af67fea5d94ff60bac83dd98ce3ef6fd6f2c00e07e8476c87" }
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyjwt"
|
name = "pyjwt"
|
||||||
@ -4452,14 +4476,14 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pypdf"
|
name = "pypdf"
|
||||||
version = "5.3.1"
|
version = "5.4.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
dependencies = [
|
dependencies = [
|
||||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||||
]
|
]
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/da/5b/67df68ec4b934aae9ca89edfb43a869c5edb3bd504dd275be9e83001d3e9/pypdf-5.3.1.tar.gz", hash = "sha256:0b9b715252b3c60bacc052e6a780e8b742cee9b9a2135f6007bb018e22a5adad" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/f9/43/4026f6ee056306d0e0eb04fcb9f2122a0f1a5c57ad9dc5e0d67399e47194/pypdf-5.4.0.tar.gz", hash = "sha256:9af476a9dc30fcb137659b0dec747ea94aa954933c52cf02ee33e39a16fe9175" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/f4/0c/75da081f5948e07f373a92087e4808739a3248d308f01c78c9bd4a51defa/pypdf-5.3.1-py3-none-any.whl", hash = "sha256:20ea5b8686faad1b695fda054462b667d5e5f51e25fbbc092f12c5e0bb20d738" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/0b/27/d83f8f2a03ca5408dc2cc84b49c0bf3fbf059398a6a2ea7c10acfe28859f/pypdf-5.4.0-py3-none-any.whl", hash = "sha256:db994ab47cadc81057ea1591b90e5b543e2b7ef2d0e31ef41a9bfe763c119dab" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -4637,22 +4661,6 @@ wheels = [
|
|||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/77/4b/28d33a6edb8d98402789cbf418063a302a96d04d563163aef07ef5f97f22/pywencai-0.12.2-py3-none-any.whl", hash = "sha256:cd8e87771f057fe6e7019b41e07d9f2cea0600e41bbc445cd0e840d4ac1dde8c" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/77/4b/28d33a6edb8d98402789cbf418063a302a96d04d563163aef07ef5f97f22/pywencai-0.12.2-py3-none-any.whl", hash = "sha256:cd8e87771f057fe6e7019b41e07d9f2cea0600e41bbc445cd0e840d4ac1dde8c" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "pywin32"
|
|
||||||
version = "309"
|
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
|
||||||
wheels = [
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/8c/fa/aeba8c29ef8cb83402a6f2e6c436d7cc705d79d22db7923704bb6f6af825/pywin32-309-cp310-cp310-win32.whl", hash = "sha256:5b78d98550ca093a6fe7ab6d71733fbc886e2af9d4876d935e7f6e1cd6577ac9" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/63/53/a568b1501e52363edf02db1ae3d3880d5307c7451dd31fb4f380b968b3c1/pywin32-309-cp310-cp310-win_amd64.whl", hash = "sha256:728d08046f3d65b90d4c77f71b6fbb551699e2005cc31bbffd1febd6a08aa698" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/1e/ca/effaf45448a988f9a3ef5bb78519632761b9d941a3421c99d8a0a35ed8a2/pywin32-309-cp310-cp310-win_arm64.whl", hash = "sha256:c667bcc0a1e6acaca8984eb3e2b6e42696fc035015f99ff8bc6c3db4c09a466a" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/05/54/6409b1d98f2b8fed3bc2cc854859e48ae4a2dd956176664e38ee49c50a4c/pywin32-309-cp311-cp311-win32.whl", hash = "sha256:d5df6faa32b868baf9ade7c9b25337fa5eced28eb1ab89082c8dae9c48e4cd51" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/6a/f0/ae8ddb56771093dd2905baa852958fd65d42a8972aeefcf13578dfae69f4/pywin32-309-cp311-cp311-win_amd64.whl", hash = "sha256:e7ec2cef6df0926f8a89fd64959eba591a1eeaf0258082065f7bdbe2121228db" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/7a/4b/1f5e377a04448cf410e13040bc0e4c408bfa0a65705cabf96904178f18df/pywin32-309-cp311-cp311-win_arm64.whl", hash = "sha256:54ee296f6d11db1627216e9b4d4c3231856ed2d9f194c82f26c6cb5650163f4c" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/20/2c/b0240b14ff3dba7a8a7122dc9bbf7fbd21ed0e8b57c109633675b5d1761f/pywin32-309-cp312-cp312-win32.whl", hash = "sha256:de9acacced5fa82f557298b1fed5fef7bd49beee04190f68e1e4783fbdc19926" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/dd/11/c36884c732e2b3397deee808b5dac1abbb170ec37f94c6606fcb04d1e9d7/pywin32-309-cp312-cp312-win_amd64.whl", hash = "sha256:6ff9eebb77ffc3d59812c68db33c0a7817e1337e3537859499bd27586330fc9e" },
|
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/18/9f/79703972958f8ba3fd38bc9bf1165810bd75124982419b0cc433a2894d46/pywin32-309-cp312-cp312-win_arm64.whl", hash = "sha256:619f3e0a327b5418d833f44dc87859523635cf339f86071cc65a13c07be3110f" },
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyyaml"
|
name = "pyyaml"
|
||||||
version = "6.0.2"
|
version = "6.0.2"
|
||||||
@ -4764,6 +4772,7 @@ dependencies = [
|
|||||||
{ name = "infinity-sdk" },
|
{ name = "infinity-sdk" },
|
||||||
{ name = "itsdangerous" },
|
{ name = "itsdangerous" },
|
||||||
{ name = "json-repair" },
|
{ name = "json-repair" },
|
||||||
|
{ name = "langfuse" },
|
||||||
{ name = "markdown" },
|
{ name = "markdown" },
|
||||||
{ name = "markdown-to-json" },
|
{ name = "markdown-to-json" },
|
||||||
{ name = "mini-racer" },
|
{ name = "mini-racer" },
|
||||||
@ -4897,6 +4906,7 @@ requires-dist = [
|
|||||||
{ name = "infinity-sdk", specifier = "==0.6.0.dev3" },
|
{ name = "infinity-sdk", specifier = "==0.6.0.dev3" },
|
||||||
{ name = "itsdangerous", specifier = "==2.1.2" },
|
{ name = "itsdangerous", specifier = "==2.1.2" },
|
||||||
{ name = "json-repair", specifier = "==0.35.0" },
|
{ name = "json-repair", specifier = "==0.35.0" },
|
||||||
|
{ name = "langfuse", specifier = ">=2.60.0" },
|
||||||
{ name = "markdown", specifier = "==3.6" },
|
{ name = "markdown", specifier = "==3.6" },
|
||||||
{ name = "markdown-to-json", specifier = "==2.1.1" },
|
{ name = "markdown-to-json", specifier = "==2.1.1" },
|
||||||
{ name = "mini-racer", specifier = ">=0.12.4,<0.13.0" },
|
{ name = "mini-racer", specifier = ">=0.12.4,<0.13.0" },
|
||||||
@ -4970,6 +4980,7 @@ requires-dist = [
|
|||||||
{ name = "yfinance", specifier = "==0.1.96" },
|
{ name = "yfinance", specifier = "==0.1.96" },
|
||||||
{ name = "zhipuai", specifier = "==2.0.1" },
|
{ name = "zhipuai", specifier = "==2.0.1" },
|
||||||
]
|
]
|
||||||
|
provides-extras = ["full"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "ranx"
|
name = "ranx"
|
||||||
@ -5856,11 +5867,11 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "threadpoolctl"
|
name = "threadpoolctl"
|
||||||
version = "3.5.0"
|
version = "3.6.0"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/bd/55/b5148dcbf72f5cde221f8bfe3b6a540da7aa1842f6b491ad979a6c8b84af/threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/b7/4d/08c89e34946fce2aec4fbb45c9016efd5f4d7f24af8e5d93296e935631d8/threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/4b/2c/ffbf7a134b9ab11a67b0cf0726453cedd9c5043a4fe7a35d1cefa9a1bcfb/threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -6176,11 +6187,11 @@ wheels = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "tzdata"
|
name = "tzdata"
|
||||||
version = "2025.1"
|
version = "2025.2"
|
||||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/43/0f/fa4723f22942480be4ca9527bbde8d43f6c3f2fe8412f00e7f5f6746bc8b/tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694" }
|
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/95/32/1a225d6164441be760d75c2c42e2780dc0873fe382da3e98a2e1e48361e5/tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9" }
|
||||||
wheels = [
|
wheels = [
|
||||||
{ url = "https://mirrors.aliyun.com/pypi/packages/0f/dd/84f10e23edd882c6f968c21c2434fe67bd4a528967067515feca9e611e5e/tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639" },
|
{ url = "https://mirrors.aliyun.com/pypi/packages/5c/23/c7abc0ca0a1526a0774eca151daeb8de62ec457e77262b66b359c3c7679e/tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8" },
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user