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fix(prompt): add missing response_schema field in to_request method

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WangzJi 2025-07-16 21:25:53 +08:00
commit 78bcc41b4a
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93 changed files with 153 additions and 134 deletions
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2
packages/dbgpt-app/src/dbgpt_app/knowledge/api.py
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@ -563,7 +563,7 @@ async def document_summary(request: DocumentSummaryRequest):
if not chat.prompt_template.stream_out:
return StreamingResponse(
no_stream_generator(chat),
no_stream_generator(chat, request.model_name),
headers=headers,
media_type="text/event-stream",
)

55
packages/dbgpt-app/src/dbgpt_app/openapi/api_v1/api_v1.py
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@ -17,14 +17,14 @@ from dbgpt.configs import TAG_KEY_KNOWLEDGE_CHAT_DOMAIN_TYPE
from dbgpt.core import ModelOutput
from dbgpt.core.awel import BaseOperator, CommonLLMHttpRequestBody
from dbgpt.core.awel.dag.dag_manager import DAGManager
from dbgpt.core.awel.util.chat_util import safe_chat_stream_with_dag_task
from dbgpt.core.awel.util.chat_util import (
_v1_create_completion_response,
safe_chat_stream_with_dag_task,
)
from dbgpt.core.interface.file import FileStorageClient
from dbgpt.core.schema.api import (
ChatCompletionResponse,
ChatCompletionResponseChoice,
ChatCompletionResponseStreamChoice,
ChatCompletionStreamResponse,
ChatMessage,
DeltaMessage,
UsageInfo,
)
@ -545,10 +545,6 @@ async def chat_completions(
model=dialogue.model_name,
messages=dialogue.user_input,
stream=True,
# context=flow_ctx,
# temperature=
# max_new_tokens=
# enable_vis=
conv_uid=dialogue.conv_uid,
span_id=root_tracer.get_current_span_id(),
chat_mode=dialogue.chat_mode,
@ -577,7 +573,7 @@ async def chat_completions(
if not chat.prompt_template.stream_out:
return StreamingResponse(
no_stream_generator(chat),
no_stream_generator(chat, dialogue.model_name, dialogue.conv_uid),
headers=headers,
media_type="text/event-stream",
)
@ -699,10 +695,11 @@ async def flow_stream_generator(func, incremental: bool, model_name: str):
yield "data: [DONE]\n\n"
async def no_stream_generator(chat):
async def no_stream_generator(chat, model_name: str, conv_uid: Optional[str] = None):
with root_tracer.start_span("no_stream_generator"):
msg = await chat.nostream_call()
yield f"data: {msg}\n\n"
stream_id = conv_uid or f"chatcmpl-{str(uuid.uuid1())}"
yield _v1_create_completion_response(msg, None, model_name, stream_id)
async def stream_generator(
@ -711,7 +708,7 @@ async def stream_generator(
model_name: str,
text_output: bool = True,
openai_format: bool = False,
conv_uid: str = None,
conv_uid: Optional[str] = None,
):
"""Generate streaming responses
@ -766,32 +763,20 @@ async def stream_generator(
)
yield f"data: {_content}\n\n"
else:
choice_data = ChatCompletionResponseChoice(
index=0,
message=ChatMessage(
role="assistant",
content=output.text,
reasoning_content=output.thinking_text,
),
)
if output.usage:
usage = UsageInfo(**output.usage)
else:
usage = UsageInfo()
_content = ChatCompletionResponse(
id=stream_id,
choices=[choice_data],
model=model_name,
usage=usage,
_content = _v1_create_completion_response(
text, think_text, model_name, stream_id, usage
)
_content = json.dumps(
chunk.dict(exclude_unset=True), ensure_ascii=False
)
yield f"data: {_content}\n\n"
yield _content
else:
msg = chunk.replace("\ufffd", "")
msg = msg.replace("\n", "\\n")
yield f"data:{msg}\n\n"
_content = _v1_create_completion_response(
msg, None, model_name, stream_id
)
yield _content
await asyncio.sleep(0.02)
if incremental:
yield "data: [DONE]\n\n"
@ -866,7 +851,11 @@ async def chat_with_domain_flow(dialogue: ConversationVo, domain_type: str):
if text:
text = text.replace("\n", "\\n")
if output.error_code != 0:
yield f"data:[SERVER_ERROR]{text}\n\n"
yield _v1_create_completion_response(
f"[SERVER_ERROR]{text}", None, dialogue.model_name, dialogue.conv_uid
)
break
else:
yield f"data:{text}\n\n"
yield _v1_create_completion_response(
text, None, dialogue.model_name, dialogue.conv_uid
)

4
packages/dbgpt-app/src/dbgpt_app/scene/base_chat.py
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@ -435,8 +435,6 @@ class BaseChat(ABC):
text_msg = model_output.text if model_output.has_text else ""
view_msg = self.stream_plugin_call(text_msg)
view_msg = model_output.gen_text_with_thinking(new_text=view_msg)
view_msg = view_msg.replace("\n", "\\n")
if text_output:
full_text = view_msg
# Return the incremental text
@ -603,7 +601,7 @@ class BaseChat(ABC):
view_message = parsed_output.gen_text_with_thinking(
new_text=view_message
)
return ai_response_text, view_message.replace("\n", "\\n")
return ai_response_text, view_message
except BaseAppException as e:
raise ContextAppException(e.message, e.view, model_output) from e

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packages/dbgpt-app/src/dbgpt_app/static/web/404.html
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@ -1 +1 @@
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-1ecaa69ebaff403b.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-c55d3a6bbd1fd609.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_buildManifest.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"AFpptyKx8zPgsLS_So3BR","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>

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packages/dbgpt-app/src/dbgpt_app/static/web/404/index.html
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@ -1 +1 @@
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-1ecaa69ebaff403b.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-c55d3a6bbd1fd609.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_buildManifest.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"AFpptyKx8zPgsLS_So3BR","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/pages/_error-8095ba9e1bf12f30.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"statusCode":404}},"page":"/_error","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"isFallback":false,"gip":true,"scriptLoader":[]}</script></body></html>

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packages/dbgpt-app/src/dbgpt_app/static/web/construct/agent/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/construct/app/components/create-app-modal/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/construct/app/extra/components/AwelLayout/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/construct/app/extra/components/NativeApp/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/construct/app/extra/components/RecommendQuestions/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/construct/app/extra/components/auto-plan/DetailsCard/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/knowledge/graph/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/Content/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/DislikeDrawer/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/Feedback/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/Header/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/InputContainer/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/ModelSelector/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/OptionIcon/index.html
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packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/Resource/index.html
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2
packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/components/Thermometer/index.html
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<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><link rel="preload" href="/_next/static/css/9b601b4de5d78ac2.css" as="style"/><link rel="stylesheet" href="/_next/static/css/9b601b4de5d78ac2.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-1ecaa69ebaff403b.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-c55d3a6bbd1fd609.js" defer=""></script><script src="/_next/static/chunks/29107295-75edf0bf34e24b1e.js" defer=""></script><script src="/_next/static/chunks/2913-315ad705b1306902.js" defer=""></script><script src="/_next/static/chunks/3791-58df908ca3784958.js" defer=""></script><script src="/_next/static/chunks/5278-36ac2f07bcb92504.js" defer=""></script><script src="/_next/static/chunks/9859-79e78d1b97925e42.js" defer=""></script><script src="/_next/static/chunks/4330-a1b5cee9f3b8b8f7.js" defer=""></script><script src="/_next/static/chunks/4041-985e07af1b9eb211.js" defer=""></script><script src="/_next/static/chunks/8791-d36492edb39795c5.js" defer=""></script><script src="/_next/static/chunks/5030-1a77b99f39c3e196.js" defer=""></script><script src="/_next/static/chunks/5418-965d05b21b0e9810.js" defer=""></script><script src="/_next/static/chunks/2783-67b811a852a75cad.js" defer=""></script><script src="/_next/static/chunks/3457-105f31ebfbb8ea1c.js" defer=""></script><script src="/_next/static/chunks/1300-d15ca5298cec4f7e.js" defer=""></script><script src="/_next/static/chunks/2480-b84761c3aa36adc4.js" defer=""></script><script src="/_next/static/chunks/7410-e37e2e071aa3033c.js" defer=""></script><script src="/_next/static/chunks/7124-9f5b0f08bb4ccef6.js" defer=""></script><script src="/_next/static/chunks/6231-082aa9c179c552ae.js" defer=""></script><script src="/_next/static/chunks/8424-b850b868a3630873.js" defer=""></script><script src="/_next/static/chunks/7249-0ff5dbe1a85d4957.js" defer=""></script><script src="/_next/static/chunks/3913-71196f8d0847b406.js" defer=""></script><script src="/_next/static/chunks/pages/mobile/chat/components/Thermometer-d8b1777045f777bd.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_buildManifest.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{}},"page":"/mobile/chat/components/Thermometer","query":{},"buildId":"AFpptyKx8zPgsLS_So3BR","nextExport":true,"autoExport":true,"isFallback":false,"scriptLoader":[]}</script></body></html>
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><link rel="preload" href="/_next/static/css/9b601b4de5d78ac2.css" as="style"/><link rel="stylesheet" href="/_next/static/css/9b601b4de5d78ac2.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/29107295-75edf0bf34e24b1e.js" defer=""></script><script src="/_next/static/chunks/2913-19ce7fd997956492.js" defer=""></script><script src="/_next/static/chunks/3791-58df908ca3784958.js" defer=""></script><script src="/_next/static/chunks/5278-36ac2f07bcb92504.js" defer=""></script><script src="/_next/static/chunks/9859-79e78d1b97925e42.js" defer=""></script><script src="/_next/static/chunks/4330-a1b5cee9f3b8b8f7.js" defer=""></script><script src="/_next/static/chunks/4041-985e07af1b9eb211.js" defer=""></script><script src="/_next/static/chunks/8791-d36492edb39795c5.js" defer=""></script><script src="/_next/static/chunks/5030-1a77b99f39c3e196.js" defer=""></script><script src="/_next/static/chunks/5418-965d05b21b0e9810.js" defer=""></script><script src="/_next/static/chunks/2783-67b811a852a75cad.js" defer=""></script><script src="/_next/static/chunks/3457-105f31ebfbb8ea1c.js" defer=""></script><script src="/_next/static/chunks/1300-d15ca5298cec4f7e.js" defer=""></script><script src="/_next/static/chunks/2480-b84761c3aa36adc4.js" defer=""></script><script src="/_next/static/chunks/7410-e37e2e071aa3033c.js" defer=""></script><script src="/_next/static/chunks/7124-9f5b0f08bb4ccef6.js" defer=""></script><script src="/_next/static/chunks/6231-082aa9c179c552ae.js" defer=""></script><script src="/_next/static/chunks/8424-b850b868a3630873.js" defer=""></script><script src="/_next/static/chunks/7249-0360e5143d1c0a16.js" defer=""></script><script src="/_next/static/chunks/3913-50cdfc0c798fc2d4.js" defer=""></script><script src="/_next/static/chunks/pages/mobile/chat/components/Thermometer-d8b1777045f777bd.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{}},"page":"/mobile/chat/components/Thermometer","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"autoExport":true,"isFallback":false,"scriptLoader":[]}</script></body></html>

2
packages/dbgpt-app/src/dbgpt_app/static/web/mobile/chat/index.html
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@ -1 +1 @@
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><link rel="preload" href="/_next/static/css/9b601b4de5d78ac2.css" as="style"/><link rel="stylesheet" href="/_next/static/css/9b601b4de5d78ac2.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-1ecaa69ebaff403b.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-c55d3a6bbd1fd609.js" defer=""></script><script src="/_next/static/chunks/29107295-75edf0bf34e24b1e.js" defer=""></script><script src="/_next/static/chunks/2913-315ad705b1306902.js" defer=""></script><script src="/_next/static/chunks/3791-58df908ca3784958.js" defer=""></script><script src="/_next/static/chunks/5278-36ac2f07bcb92504.js" defer=""></script><script src="/_next/static/chunks/9859-79e78d1b97925e42.js" defer=""></script><script src="/_next/static/chunks/4330-a1b5cee9f3b8b8f7.js" defer=""></script><script src="/_next/static/chunks/4041-985e07af1b9eb211.js" defer=""></script><script src="/_next/static/chunks/8791-d36492edb39795c5.js" defer=""></script><script src="/_next/static/chunks/5030-1a77b99f39c3e196.js" defer=""></script><script src="/_next/static/chunks/5418-965d05b21b0e9810.js" defer=""></script><script src="/_next/static/chunks/2783-67b811a852a75cad.js" defer=""></script><script src="/_next/static/chunks/3457-105f31ebfbb8ea1c.js" defer=""></script><script src="/_next/static/chunks/1300-d15ca5298cec4f7e.js" defer=""></script><script src="/_next/static/chunks/2480-b84761c3aa36adc4.js" defer=""></script><script src="/_next/static/chunks/7410-e37e2e071aa3033c.js" defer=""></script><script src="/_next/static/chunks/7124-9f5b0f08bb4ccef6.js" defer=""></script><script src="/_next/static/chunks/6231-082aa9c179c552ae.js" defer=""></script><script src="/_next/static/chunks/8424-b850b868a3630873.js" defer=""></script><script src="/_next/static/chunks/7249-0ff5dbe1a85d4957.js" defer=""></script><script src="/_next/static/chunks/3913-71196f8d0847b406.js" defer=""></script><script src="/_next/static/chunks/pages/mobile/chat-7830cb16b5070d0c.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_buildManifest.js" defer=""></script><script src="/_next/static/AFpptyKx8zPgsLS_So3BR/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{}},"page":"/mobile/chat","query":{},"buildId":"AFpptyKx8zPgsLS_So3BR","nextExport":true,"autoExport":true,"isFallback":false,"scriptLoader":[]}</script></body></html>
<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><meta name="next-head-count" content="2"/><link rel="icon" href="/favicon.ico"/><meta name="description" content="Revolutionizing Database Interactions with Private LLM Technology"/><meta property="og:description" content="eosphoros-ai"/><meta property="og:title" content="DB-GPT"/><link rel="preload" href="/_next/static/css/c09ab2c056586552.css" as="style"/><link rel="stylesheet" href="/_next/static/css/c09ab2c056586552.css" data-n-g=""/><link rel="preload" href="/_next/static/css/9b601b4de5d78ac2.css" as="style"/><link rel="stylesheet" href="/_next/static/css/9b601b4de5d78ac2.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-78c92fac7aa8fdd8.js"></script><script src="/_next/static/chunks/webpack-0026ba7f9cd5bba9.js" defer=""></script><script src="/_next/static/chunks/framework-8b06d32cbb857e0e.js" defer=""></script><script src="/_next/static/chunks/main-6c4c7f5b8c9b1320.js" defer=""></script><script src="/_next/static/chunks/pages/_app-b5031b53afa0df7e.js" defer=""></script><script src="/_next/static/chunks/29107295-75edf0bf34e24b1e.js" defer=""></script><script src="/_next/static/chunks/2913-19ce7fd997956492.js" defer=""></script><script src="/_next/static/chunks/3791-58df908ca3784958.js" defer=""></script><script src="/_next/static/chunks/5278-36ac2f07bcb92504.js" defer=""></script><script src="/_next/static/chunks/9859-79e78d1b97925e42.js" defer=""></script><script src="/_next/static/chunks/4330-a1b5cee9f3b8b8f7.js" defer=""></script><script src="/_next/static/chunks/4041-985e07af1b9eb211.js" defer=""></script><script src="/_next/static/chunks/8791-d36492edb39795c5.js" defer=""></script><script src="/_next/static/chunks/5030-1a77b99f39c3e196.js" defer=""></script><script src="/_next/static/chunks/5418-965d05b21b0e9810.js" defer=""></script><script src="/_next/static/chunks/2783-67b811a852a75cad.js" defer=""></script><script src="/_next/static/chunks/3457-105f31ebfbb8ea1c.js" defer=""></script><script src="/_next/static/chunks/1300-d15ca5298cec4f7e.js" defer=""></script><script src="/_next/static/chunks/2480-b84761c3aa36adc4.js" defer=""></script><script src="/_next/static/chunks/7410-e37e2e071aa3033c.js" defer=""></script><script src="/_next/static/chunks/7124-9f5b0f08bb4ccef6.js" defer=""></script><script src="/_next/static/chunks/6231-082aa9c179c552ae.js" defer=""></script><script src="/_next/static/chunks/8424-b850b868a3630873.js" defer=""></script><script src="/_next/static/chunks/7249-0360e5143d1c0a16.js" defer=""></script><script src="/_next/static/chunks/3913-50cdfc0c798fc2d4.js" defer=""></script><script src="/_next/static/chunks/pages/mobile/chat-7830cb16b5070d0c.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_buildManifest.js" defer=""></script><script src="/_next/static/gv0k09BrvWkKGZ4Em_Hmf/_ssgManifest.js" defer=""></script><link rel="stylesheet" href="/_next/static/css/antd-output/antd.min.7d5365b5.css"/></head><body><div id="__next"><div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{}},"page":"/mobile/chat","query":{},"buildId":"gv0k09BrvWkKGZ4Em_Hmf","nextExport":true,"autoExport":true,"isFallback":false,"scriptLoader":[]}</script></body></html>

1
packages/dbgpt-core/src/dbgpt/agent/util/llm/llm_client.py
View File

@ -217,7 +217,6 @@ class AIWrapper:
if not model_output:
raise ValueError("LLM generate stream is null!")
parsed_output = model_output.gen_text_with_thinking()
parsed_output = parsed_output.strip().replace("\\n", "\n")
if verbose:
print("\n", "-" * 80, flush=True, sep="")

33
packages/dbgpt-core/src/dbgpt/core/awel/util/chat_util.py
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@ -5,7 +5,13 @@ import traceback
from typing import Any, AsyncIterator, Dict, Optional
from ...interface.llm import ModelInferenceMetrics, ModelOutput
from ...schema.api import ChatCompletionResponseStreamChoice
from ...schema.api import (
ChatCompletionResponse,
ChatCompletionResponseChoice,
ChatCompletionResponseStreamChoice,
ChatMessage,
UsageInfo,
)
from ..operators.base import BaseOperator
from ..trigger.http_trigger import CommonLLMHttpResponseBody
@ -379,3 +385,28 @@ def parse_sse_data(output: str) -> Optional[str]:
return output
else:
return None
def _v1_create_completion_response(
text: str,
think_text: Optional[str],
model_name: str,
stream_id: str,
usage: Optional[UsageInfo] = None,
):
choice_data = ChatCompletionResponseChoice(
index=0,
message=ChatMessage(
role="assistant",
content=text or "",
reasoning_content=think_text,
),
)
_content = ChatCompletionResponse(
id=stream_id,
choices=[choice_data],
model=model_name,
usage=usage or UsageInfo(),
)
_content = json.dumps(_content.model_dump(exclude_unset=True), ensure_ascii=False)
return f"data: {_content}\n\n"

12
packages/dbgpt-serve/src/dbgpt_serve/flow/service/service.py
View File

@ -19,6 +19,7 @@ from dbgpt.core.awel.flow.flow_factory import (
)
from dbgpt.core.awel.trigger.http_trigger import CommonLLMHttpTrigger
from dbgpt.core.awel.util.chat_util import (
_v1_create_completion_response,
is_chat_flow_type,
safe_chat_stream_with_dag_task,
safe_chat_with_dag_task,
@ -448,10 +449,17 @@ class Service(BaseService[ServeEntity, ServeRequest, ServerResponse]):
if text:
text = text.replace("\n", "\\n")
if output.error_code != 0:
yield f"data:[SERVER_ERROR]{text}\n\n"
yield _v1_create_completion_response(
f"[SERVER_ERROR]{text}",
None,
model_name=request.model,
stream_id=request.conv_uid,
)
break
else:
yield f"data:{text}\n\n"
yield _v1_create_completion_response(
text, None, model_name=request.model, stream_id=request.conv_uid
)
async def chat_stream_openai(
self, flow_uid: str, request: CommonLLMHttpRequestBody

5
web/components/chat/chat-content/index.tsx
View File

@ -58,10 +58,7 @@ const pluginViewStatusMapper: Record<DBGPTView['status'], { bgClass: string; ico
};
function formatMarkdownVal(val: string) {
return val
.replaceAll('\\n', '\n')
.replace(/<table(\w*=[^>]+)>/gi, '<table $1>')
.replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
return val.replace(/<table(\w*=[^>]+)>/gi, '<table $1>').replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
}
function ChatContent({ children, content, isChartChat, onLinkClick }: PropsWithChildren<Props>) {

3
web/hooks/use-chat.ts
View File

@ -90,7 +90,8 @@ const useChat = ({ queryAgentURL = '/api/v1/chat/completions', app_code }: Props
if (scene === 'chat_agent') {
message = JSON.parse(message).vis;
} else {
message = JSON.parse(message);
data = JSON.parse(event.data);
message = data.choices?.[0]?.message?.content;
}
} catch {
message.replaceAll('\\n', '\n');

10
web/new-components/chat/ChatContentContainer.tsx
View File

@ -79,7 +79,8 @@ const ChatContentContainer = ({ className }: { className?: string }, ref: React.
currentScrollRef.removeEventListener('scroll', handleScroll);
}
};
}, [handleScroll]); const scrollToBottomSmooth = useCallback((forceScroll = false) => {
}, [handleScroll]);
const scrollToBottomSmooth = useCallback((forceScroll = false) => {
if (!scrollRef.current) return;
// For force scroll (new messages), bypass allowAutoScroll check
@ -117,7 +118,7 @@ const ChatContentContainer = ({ className }: { className?: string }, ref: React.
const lastMessage = useMemo(() => {
const last = history[history.length - 1];
return last ? { context: last.context, thinking: last.thinking } : null;
}, [history]); // Track previous history length to detect new messages
}, [history]); // Track previous history length to detect new messages
const prevHistoryLengthRef = useRef(history.length);
useEffect(() => {
@ -149,7 +150,8 @@ const ChatContentContainer = ({ className }: { className?: string }, ref: React.
cancelAnimationFrame(animationFrameRef.current);
}
};
}, []); const scrollToTop = useCallback(() => {
}, []);
const scrollToTop = useCallback(() => {
if (scrollRef.current) {
scrollRef.current.scrollTo({
top: 0,
@ -200,4 +202,4 @@ const ChatContentContainer = ({ className }: { className?: string }, ref: React.
);
};
export default forwardRef(ChatContentContainer);
export default forwardRef(ChatContentContainer);

5
web/new-components/chat/content/ChatContent.tsx
View File

@ -69,10 +69,7 @@ const pluginViewStatusMapper: Record<DBGPTView['status'], { bgClass: string; ico
};
const formatMarkdownVal = (val: string) => {
return val
.replaceAll('\\n', '\n')
.replace(/<table(\w*=[^>]+)>/gi, '<table $1>')
.replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
return val.replace(/<table(\w*=[^>]+)>/gi, '<table $1>').replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
};
const formatMarkdownValForAgent = (val: string) => {

5
web/pages/mobile/chat/components/ChatDialog.tsx
View File

@ -69,10 +69,7 @@ const ChatDialog: React.FC<{
}, [context]);
const formatMarkdownVal = (val: string) => {
return val
.replaceAll('\\n', '\n')
.replace(/<table(\w*=[^>]+)>/gi, '<table $1>')
.replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
return val.replace(/<table(\w*=[^>]+)>/gi, '<table $1>').replace(/<tr(\w*=[^>]+)>/gi, '<tr $1>');
};
const formatMarkdownValForAgent = (val: string) => {

2
web/utils/constants.ts
View File

@ -298,7 +298,7 @@ export const dbMapper: Record<DBType, { label: string; icon: string; desc: strin
gaussdb: {
label: 'GaussDB',
icon: '/icons/gaussdb.png',
desc: 'Huawei\'s distributed database with PostgreSQL compatibility',
desc: "Huawei's distributed database with PostgreSQL compatibility",
},
vertica: {
label: 'Vertica',