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Fix web search and template max tokens (#1564)

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### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
This commit is contained in:
H
2024-07-17 14:19:14 +08:00
committed by GitHub
parent 83c9f1ed39
commit 1015436691
6 changed files with 19 additions and 16 deletions
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9
graph/templates/websearch_assistant.json
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@ -59,7 +59,6 @@
"cite": true,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat",
"max_tokens": 2048,
"message_history_window_size": 12,
"parameters": [
{
@ -108,7 +107,7 @@
"frequencyPenaltyEnabled": true,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat",
"maxTokensEnabled": false,
"maxTokensEnabled": true,
"max_tokens": 256,
"parameter": "Precise",
"presencePenaltyEnabled": true,
@ -366,7 +365,7 @@
"frequencyPenaltyEnabled": true,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat",
"maxTokensEnabled": false,
"maxTokensEnabled": true,
"max_tokens": 256,
"parameter": "Precise",
"presencePenaltyEnabled": true,
@ -510,8 +509,6 @@
"frequencyPenaltyEnabled": true,
"frequency_penalty": 0.7,
"llm_id": "deepseek-chat",
"maxTokensEnabled": true,
"max_tokens": 2048,
"message_history_window_size": 12,
"parameter": "Precise",
"parameters": [
@ -538,7 +535,7 @@
],
"presencePenaltyEnabled": true,
"presence_penalty": 0.4,
"prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Summarize and label the sources of the cited content separately: (Knowledge Base, Wikipedia, Duckduckgo, Baidu).\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}",
"prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}",
"temperature": 0.1,
"temperatureEnabled": true,
"topPEnabled": true,