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diff --git a/pilot/server/static/404/index.html b/pilot/server/static/404/index.html
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diff --git a/pilot/server/static/_next/static/chunks/app/chat/page-4266d316599e0141.js b/pilot/server/static/_next/static/chunks/app/chat/page-4266d316599e0141.js
new file mode 100644
index 000000000..afba8b24b
--- /dev/null
+++ b/pilot/server/static/_next/static/chunks/app/chat/page-4266d316599e0141.js
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index 38d78f036..3c79564bb 100644
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diff --git a/pilot/server/static/datastores/documents/index.txt b/pilot/server/static/datastores/documents/index.txt
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diff --git a/pilot/server/static/datastores/index.html b/pilot/server/static/datastores/index.html
index e7328de82..ec3ad4424 100644
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@@ -1 +1 @@
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+
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diff --git a/pilot/server/static/datastores/index.txt b/pilot/server/static/datastores/index.txt
index b624ae6b2..f64d484e6 100644
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diff --git a/pilot/server/static/index.html b/pilot/server/static/index.html
index 28b2b73d4..d1f911230 100644
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+
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diff --git a/pilot/server/static/index.txt b/pilot/server/static/index.txt
index 7e5c97819..34a7c1a8c 100644
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diff --git a/pilot/vector_store/connector.py b/pilot/vector_store/connector.py
index 9b4e3b9e8..1073a004e 100644
--- a/pilot/vector_store/connector.py
+++ b/pilot/vector_store/connector.py
@@ -1,8 +1,9 @@
from pilot.vector_store.chroma_store import ChromaStore
from pilot.vector_store.milvus_store import MilvusStore
+from pilot.vector_store.weaviate_store import WeaviateStore
-connector = {"Chroma": ChromaStore, "Milvus": MilvusStore}
+connector = {"Chroma": ChromaStore, "Milvus": MilvusStore, "Weaviate": WeaviateStore}
class VectorStoreConnector:
diff --git a/requirements.txt b/requirements.txt
index 961b5c16a..7fe106888 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -55,7 +55,7 @@ diskcache==5.6.1
auto-gpt-plugin-template
pymdown-extensions
gTTS==2.3.1
-langchain
+langchain==0.0.228
nltk
python-dotenv==1.0.0
pymilvus==2.2.1
@@ -67,8 +67,9 @@ playsound
distro
pypdf
weaviate-client
+docx2txt
-# databse
+# database
pymysql
duckdb
From 487f91a1ecc0c97b70a9561ae1b716c32afbc799 Mon Sep 17 00:00:00 2001
From: aries_ckt <916701291@qq.com>
Date: Tue, 25 Jul 2023 15:21:53 +0800
Subject: [PATCH 03/14] feat:docxLoader and ppt_loader
---
pilot/embedding_engine/docx_loader.py | 26 ++++++++++++++++++++++++
pilot/embedding_engine/ppt_embedding.py | 4 ++--
pilot/embedding_engine/ppt_loader.py | 24 ++++++++++++++++++++++
pilot/embedding_engine/word_embedding.py | 4 ++--
4 files changed, 54 insertions(+), 4 deletions(-)
create mode 100644 pilot/embedding_engine/docx_loader.py
create mode 100644 pilot/embedding_engine/ppt_loader.py
diff --git a/pilot/embedding_engine/docx_loader.py b/pilot/embedding_engine/docx_loader.py
new file mode 100644
index 000000000..50d1a6b45
--- /dev/null
+++ b/pilot/embedding_engine/docx_loader.py
@@ -0,0 +1,26 @@
+from typing import List, Optional
+
+from langchain.docstore.document import Document
+from langchain.document_loaders.base import BaseLoader
+import docx
+
+
+class DocxLoader(BaseLoader):
+ """Load docx files."""
+
+ def __init__(self, file_path: str, encoding: Optional[str] = None):
+ """Initialize with file path."""
+ self.file_path = file_path
+ self.encoding = encoding
+
+ def load(self) -> List[Document]:
+ """Load from file path."""
+ docs = []
+ doc = docx.Document(self.file_path)
+ content = []
+ for i in range(len(doc.paragraphs)):
+ para = doc.paragraphs[i]
+ text = para.text
+ content.append(text)
+ docs.append(Document(page_content=''.join(content), metadata={"source": self.file_path}))
+ return docs
diff --git a/pilot/embedding_engine/ppt_embedding.py b/pilot/embedding_engine/ppt_embedding.py
index 09370d496..7c691662d 100644
--- a/pilot/embedding_engine/ppt_embedding.py
+++ b/pilot/embedding_engine/ppt_embedding.py
@@ -2,7 +2,6 @@
# -*- coding: utf-8 -*-
from typing import List, Optional
-from langchain.document_loaders import UnstructuredPowerPointLoader
from langchain.schema import Document
from langchain.text_splitter import (
SpacyTextSplitter,
@@ -11,6 +10,7 @@ from langchain.text_splitter import (
)
from pilot.embedding_engine import SourceEmbedding, register
+from pilot.embedding_engine.ppt_loader import PPTLoader
class PPTEmbedding(SourceEmbedding):
@@ -36,7 +36,7 @@ class PPTEmbedding(SourceEmbedding):
def read(self):
"""Load from ppt path."""
if self.source_reader is None:
- self.source_reader = UnstructuredPowerPointLoader(self.file_path)
+ self.source_reader = PPTLoader(self.file_path)
if self.text_splitter is None:
try:
self.text_splitter = SpacyTextSplitter(
diff --git a/pilot/embedding_engine/ppt_loader.py b/pilot/embedding_engine/ppt_loader.py
new file mode 100644
index 000000000..b3d970291
--- /dev/null
+++ b/pilot/embedding_engine/ppt_loader.py
@@ -0,0 +1,24 @@
+from typing import List, Optional
+
+from langchain.docstore.document import Document
+from langchain.document_loaders.base import BaseLoader
+from pptx import Presentation
+
+
+class PPTLoader(BaseLoader):
+ """Load PPT files."""
+
+ def __init__(self, file_path: str, encoding: Optional[str] = None):
+ """Initialize with file path."""
+ self.file_path = file_path
+ self.encoding = encoding
+
+ def load(self) -> List[Document]:
+ """Load from file path."""
+ pr = Presentation(self.file_path)
+ docs = []
+ for slide in pr.slides:
+ for shape in slide.shapes:
+ if hasattr(shape, "text") and shape.text is not "":
+ docs.append(Document(page_content=shape.text, metadata={"source": slide.slide_id}))
+ return docs
diff --git a/pilot/embedding_engine/word_embedding.py b/pilot/embedding_engine/word_embedding.py
index 55a2b5079..833be4012 100644
--- a/pilot/embedding_engine/word_embedding.py
+++ b/pilot/embedding_engine/word_embedding.py
@@ -3,7 +3,6 @@
from typing import List, Optional
from langchain.schema import Document
-from langchain.document_loaders import Docx2txtLoader
from langchain.text_splitter import (
SpacyTextSplitter,
RecursiveCharacterTextSplitter,
@@ -11,6 +10,7 @@ from langchain.text_splitter import (
)
from pilot.embedding_engine import SourceEmbedding, register
+from pilot.embedding_engine.docx_loader import DocxLoader
class WordEmbedding(SourceEmbedding):
@@ -36,7 +36,7 @@ class WordEmbedding(SourceEmbedding):
def read(self):
"""Load from word path."""
if self.source_reader is None:
- self.source_reader = Docx2txtLoader(self.file_path)
+ self.source_reader = DocxLoader(self.file_path)
if self.text_splitter is None:
try:
self.text_splitter = SpacyTextSplitter(
From e7dcbe3dab0ce3f3a43f1d8c7e9e18a11a8c60c1 Mon Sep 17 00:00:00 2001
From: aries_ckt <916701291@qq.com>
Date: Tue, 25 Jul 2023 15:50:29 +0800
Subject: [PATCH 04/14] doc:requirement update
---
requirements.txt | 3 +--
1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/requirements.txt b/requirements.txt
index 7fe106888..3bbdabb4e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -55,7 +55,7 @@ diskcache==5.6.1
auto-gpt-plugin-template
pymdown-extensions
gTTS==2.3.1
-langchain==0.0.228
+langchain
nltk
python-dotenv==1.0.0
pymilvus==2.2.1
@@ -67,7 +67,6 @@ playsound
distro
pypdf
weaviate-client
-docx2txt
# database
From 795be61d4a9129fe0af1b95b7cefc55493266b13 Mon Sep 17 00:00:00 2001
From: aries_ckt <916701291@qq.com>
Date: Tue, 25 Jul 2023 17:22:11 +0800
Subject: [PATCH 05/14] style:fmt
---
pilot/embedding_engine/docx_loader.py | 4 +++-
pilot/embedding_engine/ppt_loader.py | 6 +++++-
2 files changed, 8 insertions(+), 2 deletions(-)
diff --git a/pilot/embedding_engine/docx_loader.py b/pilot/embedding_engine/docx_loader.py
index 50d1a6b45..458254b66 100644
--- a/pilot/embedding_engine/docx_loader.py
+++ b/pilot/embedding_engine/docx_loader.py
@@ -22,5 +22,7 @@ class DocxLoader(BaseLoader):
para = doc.paragraphs[i]
text = para.text
content.append(text)
- docs.append(Document(page_content=''.join(content), metadata={"source": self.file_path}))
+ docs.append(
+ Document(page_content="".join(content), metadata={"source": self.file_path})
+ )
return docs
diff --git a/pilot/embedding_engine/ppt_loader.py b/pilot/embedding_engine/ppt_loader.py
index b3d970291..04f5e5c93 100644
--- a/pilot/embedding_engine/ppt_loader.py
+++ b/pilot/embedding_engine/ppt_loader.py
@@ -20,5 +20,9 @@ class PPTLoader(BaseLoader):
for slide in pr.slides:
for shape in slide.shapes:
if hasattr(shape, "text") and shape.text is not "":
- docs.append(Document(page_content=shape.text, metadata={"source": slide.slide_id}))
+ docs.append(
+ Document(
+ page_content=shape.text, metadata={"source": slide.slide_id}
+ )
+ )
return docs
From 01074660bcc9979443655b9c17ea7619cc37aeab Mon Sep 17 00:00:00 2001
From: FangYin Cheng
Date: Tue, 25 Jul 2023 00:53:28 +0800
Subject: [PATCH 06/14] feat: Support baichuan-13B model
---
pilot/configs/model_config.py | 1 +
pilot/model/adapter.py | 21 +++++++++++++++++++++
pilot/model/conversation.py | 19 +++++++++++++++++++
pilot/out_parser/base.py | 6 ++++--
pilot/scene/base_chat.py | 2 ++
pilot/server/chat_adapter.py | 19 +++++++++++++++++++
pilot/server/llmserver.py | 2 ++
requirements.txt | 1 +
8 files changed, 69 insertions(+), 2 deletions(-)
diff --git a/pilot/configs/model_config.py b/pilot/configs/model_config.py
index aea5c6731..d719ad3dc 100644
--- a/pilot/configs/model_config.py
+++ b/pilot/configs/model_config.py
@@ -50,6 +50,7 @@ LLM_MODEL_CONFIG = {
"llama-2-7b": os.path.join(MODEL_PATH, "Llama-2-7b-chat-hf"),
"llama-2-13b": os.path.join(MODEL_PATH, "Llama-2-13b-chat-hf"),
"llama-2-70b": os.path.join(MODEL_PATH, "Llama-2-70b-chat-hf"),
+ "baichuan-13b": os.path.join(MODEL_PATH, "Baichuan-13B-Chat"),
}
# Load model config
diff --git a/pilot/model/adapter.py b/pilot/model/adapter.py
index cea73c602..ebe7b82d5 100644
--- a/pilot/model/adapter.py
+++ b/pilot/model/adapter.py
@@ -12,6 +12,8 @@ from transformers import (
LlamaTokenizer,
BitsAndBytesConfig,
)
+from transformers.generation.utils import GenerationConfig
+
from pilot.configs.model_config import DEVICE
from pilot.configs.config import Config
@@ -276,6 +278,24 @@ class Llama2Adapter(BaseLLMAdaper):
return model, tokenizer
+class BaichuanAdapter(BaseLLMAdaper):
+ """The model adapter for Baichuan models (e.g., baichuan-inc/Baichuan-13B-Chat)"""
+
+ def match(self, model_path: str):
+ return "baichuan" in model_path.lower()
+
+ def loader(self, model_path: str, from_pretrained_kwargs: dict):
+ # revision = from_pretrained_kwargs.get("revision", "main")
+ tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
+ model = AutoModelForCausalLM.from_pretrained(
+ model_path,
+ trust_remote_code=True,
+ low_cpu_mem_usage=True,
+ **from_pretrained_kwargs,
+ )
+ return model, tokenizer
+
+
register_llm_model_adapters(VicunaLLMAdapater)
register_llm_model_adapters(ChatGLMAdapater)
register_llm_model_adapters(GuanacoAdapter)
@@ -283,6 +303,7 @@ register_llm_model_adapters(FalconAdapater)
register_llm_model_adapters(GorillaAdapter)
register_llm_model_adapters(GPT4AllAdapter)
register_llm_model_adapters(Llama2Adapter)
+register_llm_model_adapters(BaichuanAdapter)
# TODO Default support vicuna, other model need to tests and Evaluate
# just for test_py, remove this later
diff --git a/pilot/model/conversation.py b/pilot/model/conversation.py
index 5443992df..fa57b2af5 100644
--- a/pilot/model/conversation.py
+++ b/pilot/model/conversation.py
@@ -2,6 +2,8 @@
Fork from fastchat: https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
Conversation prompt templates.
+
+
"""
import dataclasses
@@ -305,4 +307,21 @@ register_conv_template(
)
)
+# Baichuan-13B-Chat template
+register_conv_template(
+ # source: https://huggingface.co/baichuan-inc/Baichuan-13B-Chat/blob/f5f47be2adbbdceb784f334d6fa1ca2c73e65097/modeling_baichuan.py#L507
+ # https://huggingface.co/baichuan-inc/Baichuan-13B-Chat/blob/main/generation_config.json
+ Conversation(
+ name="baichuan-chat",
+ system="",
+ roles=(" ", " "),
+ messages=(),
+ offset=0,
+ sep_style=SeparatorStyle.NO_COLON_TWO,
+ sep="",
+ sep2="",
+ stop_token_ids=[2, 195],
+ )
+)
+
# TODO Support other model conversation template
diff --git a/pilot/out_parser/base.py b/pilot/out_parser/base.py
index 000d92709..013f15b1e 100644
--- a/pilot/out_parser/base.py
+++ b/pilot/out_parser/base.py
@@ -54,17 +54,19 @@ class BaseOutputParser(ABC):
""" TODO Multi mode output handler, rewrite this for multi model, use adapter mode.
"""
model_context = data.get("model_context")
+ has_echo = True
if model_context and "prompt_echo_len_char" in model_context:
prompt_echo_len_char = int(model_context.get("prompt_echo_len_char", -1))
+ has_echo = bool(model_context.get("echo", True))
if prompt_echo_len_char != -1:
skip_echo_len = prompt_echo_len_char
if data.get("error_code", 0) == 0:
- if "vicuna" in CFG.LLM_MODEL or "llama-2" in CFG.LLM_MODEL:
+ if has_echo and ("vicuna" in CFG.LLM_MODEL or "llama-2" in CFG.LLM_MODEL):
# TODO Judging from model_context
# output = data["text"][skip_echo_len + 11:].strip()
output = data["text"][skip_echo_len:].strip()
- elif "guanaco" in CFG.LLM_MODEL:
+ elif has_echo and "guanaco" in CFG.LLM_MODEL:
# NO stream output
# output = data["text"][skip_echo_len + 2:].replace("", "").strip()
diff --git a/pilot/scene/base_chat.py b/pilot/scene/base_chat.py
index ccb70da75..e4520931f 100644
--- a/pilot/scene/base_chat.py
+++ b/pilot/scene/base_chat.py
@@ -69,6 +69,7 @@ class BaseChat(ABC):
self.chat_mode = chat_mode
self.current_user_input: str = current_user_input
self.llm_model = CFG.LLM_MODEL
+ self.llm_echo = False
### can configurable storage methods
self.memory = DuckdbHistoryMemory(chat_session_id)
@@ -128,6 +129,7 @@ class BaseChat(ABC):
"temperature": float(self.prompt_template.temperature),
"max_new_tokens": int(self.prompt_template.max_new_tokens),
"stop": self.prompt_template.sep,
+ "echo": self.llm_echo,
}
return payload
diff --git a/pilot/server/chat_adapter.py b/pilot/server/chat_adapter.py
index 1c0d73bac..422fc1117 100644
--- a/pilot/server/chat_adapter.py
+++ b/pilot/server/chat_adapter.py
@@ -62,7 +62,12 @@ class BaseChatAdpter:
# TODO remote bos token and eos token from tokenizer_config.json of model
prompt_echo_len_char = len(new_prompt.replace("", "").replace("", ""))
model_context["prompt_echo_len_char"] = prompt_echo_len_char
+ model_context["echo"] = params.get("echo", True)
params["prompt"] = new_prompt
+
+ # Overwrite model params:
+ params["stop"] = conv.stop_str
+
return params, model_context
@@ -195,6 +200,19 @@ class Llama2ChatAdapter(BaseChatAdpter):
return generate_stream
+class BaichuanChatAdapter(BaseChatAdpter):
+ def match(self, model_path: str):
+ return "baichuan" in model_path.lower()
+
+ def get_conv_template(self) -> Conversation:
+ return get_conv_template("baichuan-chat")
+
+ def get_generate_stream_func(self):
+ from pilot.model.inference import generate_stream
+
+ return generate_stream
+
+
register_llm_model_chat_adapter(VicunaChatAdapter)
register_llm_model_chat_adapter(ChatGLMChatAdapter)
register_llm_model_chat_adapter(GuanacoChatAdapter)
@@ -202,6 +220,7 @@ register_llm_model_chat_adapter(FalconChatAdapter)
register_llm_model_chat_adapter(GorillaChatAdapter)
register_llm_model_chat_adapter(GPT4AllChatAdapter)
register_llm_model_chat_adapter(Llama2ChatAdapter)
+register_llm_model_chat_adapter(BaichuanChatAdapter)
# Proxy model for test and develop, it's cheap for us now.
register_llm_model_chat_adapter(ProxyllmChatAdapter)
diff --git a/pilot/server/llmserver.py b/pilot/server/llmserver.py
index 43f5a1f94..3f97e3f86 100644
--- a/pilot/server/llmserver.py
+++ b/pilot/server/llmserver.py
@@ -136,6 +136,7 @@ class PromptRequest(BaseModel):
max_new_tokens: int
model: str
stop: str = None
+ echo: bool = True
class StreamRequest(BaseModel):
@@ -178,6 +179,7 @@ def generate(prompt_request: PromptRequest) -> str:
"temperature": prompt_request.temperature,
"max_new_tokens": prompt_request.max_new_tokens,
"stop": prompt_request.stop,
+ "echo": prompt_request.echo,
}
rsp_str = ""
diff --git a/requirements.txt b/requirements.txt
index 3bbdabb4e..8fbe1b9c2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -28,6 +28,7 @@ pyyaml==6.0
tokenizers==0.13.2
tqdm==4.64.1
transformers==4.30.0
+transformers_stream_generator
timm==0.6.13
spacy==3.5.3
webdataset==0.2.48
From 35d0c17ae8e2d829e316211cf198c94bb9789c4b Mon Sep 17 00:00:00 2001
From: FangYin Cheng
Date: Tue, 25 Jul 2023 18:39:07 +0800
Subject: [PATCH 07/14] feat: Support baichuan-7B model
---
.env.template | 3 +
docs/modules/llms.md | 2 +-
pilot/common/formatting.py | 12 ++++
pilot/configs/config.py | 7 ++
pilot/configs/model_config.py | 2 +
pilot/model/adapter.py | 7 +-
pilot/model/conversation.py | 17 ++++-
pilot/prompts/prompt_new.py | 18 +++--
pilot/prompts/prompt_registry.py | 21 ++++--
pilot/scene/base_chat.py | 5 +-
pilot/scene/chat_db/auto_execute/example.py | 10 +--
pilot/scene/chat_db/auto_execute/prompt.py | 3 +-
.../chat_db/auto_execute/prompt_baichuan.py | 66 +++++++++++++++++++
pilot/server/chat_adapter.py | 18 +++--
pilot/server/llmserver.py | 4 +-
15 files changed, 161 insertions(+), 34 deletions(-)
create mode 100644 pilot/scene/chat_db/auto_execute/prompt_baichuan.py
diff --git a/.env.template b/.env.template
index 3ff2d9077..7212e7c6d 100644
--- a/.env.template
+++ b/.env.template
@@ -31,6 +31,9 @@ QUANTIZE_QLORA=True
## FAST_LLM_MODEL - Fast language model (Default: chatglm-6b)
# SMART_LLM_MODEL=vicuna-13b
# FAST_LLM_MODEL=chatglm-6b
+## Proxy llm backend, this configuration is only valid when "LLM_MODEL=proxyllm", When we use the rest API provided by deployment frameworks like fastchat as a proxyllm,
+## "PROXYLLM_BACKEND" is the model they actually deploy. We can use "PROXYLLM_BACKEND" to load the prompt of the corresponding scene.
+# PROXYLLM_BACKEND=
#*******************************************************************#
diff --git a/docs/modules/llms.md b/docs/modules/llms.md
index a4baf1807..1e21ecc74 100644
--- a/docs/modules/llms.md
+++ b/docs/modules/llms.md
@@ -11,7 +11,7 @@ cp .env.template .env
LLM_MODEL=vicuna-13b
MODEL_SERVER=http://127.0.0.1:8000
```
-now we support models vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, guanaco-33b-merged, falcon-40b, gorilla-7b, llama-2-7b, llama-2-13b.
+now we support models vicuna-13b, vicuna-7b, chatglm-6b, flan-t5-base, guanaco-33b-merged, falcon-40b, gorilla-7b, llama-2-7b, llama-2-13b, baichuan-7b, baichuan-13b
if you want use other model, such as chatglm-6b, you just need update .env config file.
```
diff --git a/pilot/common/formatting.py b/pilot/common/formatting.py
index 6bf10c1b2..51f374314 100644
--- a/pilot/common/formatting.py
+++ b/pilot/common/formatting.py
@@ -36,7 +36,19 @@ class StrictFormatter(Formatter):
super().format(format_string, **dummy_inputs)
+class NoStrictFormatter(StrictFormatter):
+ def check_unused_args(
+ self,
+ used_args: Sequence[Union[int, str]],
+ args: Sequence,
+ kwargs: Mapping[str, Any],
+ ) -> None:
+ """Not check unused args"""
+ pass
+
+
formatter = StrictFormatter()
+no_strict_formatter = NoStrictFormatter()
class MyEncoder(json.JSONEncoder):
diff --git a/pilot/configs/config.py b/pilot/configs/config.py
index d9dc5e75e..932116b96 100644
--- a/pilot/configs/config.py
+++ b/pilot/configs/config.py
@@ -131,6 +131,13 @@ class Config(metaclass=Singleton):
### LLM Model Service Configuration
self.LLM_MODEL = os.getenv("LLM_MODEL", "vicuna-13b")
+ ### Proxy llm backend, this configuration is only valid when "LLM_MODEL=proxyllm"
+ ### When we use the rest API provided by deployment frameworks like fastchat as a proxyllm, "PROXYLLM_BACKEND" is the model they actually deploy.
+ ### We need to use "PROXYLLM_BACKEND" to load the prompt of the corresponding scene.
+ self.PROXYLLM_BACKEND = None
+ if self.LLM_MODEL == "proxyllm":
+ self.PROXYLLM_BACKEND = os.getenv("PROXYLLM_BACKEND")
+
self.LIMIT_MODEL_CONCURRENCY = int(os.getenv("LIMIT_MODEL_CONCURRENCY", 5))
self.MAX_POSITION_EMBEDDINGS = int(os.getenv("MAX_POSITION_EMBEDDINGS", 4096))
self.MODEL_PORT = os.getenv("MODEL_PORT", 8000)
diff --git a/pilot/configs/model_config.py b/pilot/configs/model_config.py
index d719ad3dc..70b5280ac 100644
--- a/pilot/configs/model_config.py
+++ b/pilot/configs/model_config.py
@@ -51,6 +51,8 @@ LLM_MODEL_CONFIG = {
"llama-2-13b": os.path.join(MODEL_PATH, "Llama-2-13b-chat-hf"),
"llama-2-70b": os.path.join(MODEL_PATH, "Llama-2-70b-chat-hf"),
"baichuan-13b": os.path.join(MODEL_PATH, "Baichuan-13B-Chat"),
+ # please rename "fireballoon/baichuan-vicuna-chinese-7b" to "baichuan-7b"
+ "baichuan-7b": os.path.join(MODEL_PATH, "baichuan-7b"),
}
# Load model config
diff --git a/pilot/model/adapter.py b/pilot/model/adapter.py
index ebe7b82d5..900d51d4a 100644
--- a/pilot/model/adapter.py
+++ b/pilot/model/adapter.py
@@ -12,8 +12,6 @@ from transformers import (
LlamaTokenizer,
BitsAndBytesConfig,
)
-from transformers.generation.utils import GenerationConfig
-
from pilot.configs.model_config import DEVICE
from pilot.configs.config import Config
@@ -285,8 +283,9 @@ class BaichuanAdapter(BaseLLMAdaper):
return "baichuan" in model_path.lower()
def loader(self, model_path: str, from_pretrained_kwargs: dict):
- # revision = from_pretrained_kwargs.get("revision", "main")
- tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
+ tokenizer = AutoTokenizer.from_pretrained(
+ model_path, trust_remote_code=True, use_fast=False
+ )
model = AutoModelForCausalLM.from_pretrained(
model_path,
trust_remote_code=True,
diff --git a/pilot/model/conversation.py b/pilot/model/conversation.py
index fa57b2af5..11ca03ed8 100644
--- a/pilot/model/conversation.py
+++ b/pilot/model/conversation.py
@@ -2,8 +2,6 @@
Fork from fastchat: https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
Conversation prompt templates.
-
-
"""
import dataclasses
@@ -286,6 +284,21 @@ def get_conv_template(name: str) -> Conversation:
return conv_templates[name].copy()
+# A template similar to the "one_shot" template above but remove the example.
+register_conv_template(
+ Conversation(
+ name="zero_shot",
+ system="A chat between a curious human and an artificial intelligence assistant. "
+ "The assistant gives helpful, detailed, and polite answers to the human's questions.",
+ roles=("Human", "Assistant"),
+ messages=(),
+ offset=0,
+ sep_style=SeparatorStyle.ADD_COLON_SINGLE,
+ sep="\n### ",
+ stop_str="###",
+ )
+)
+
# llama2 template
# reference: https://github.com/facebookresearch/llama/blob/cfc3fc8c1968d390eb830e65c63865e980873a06/llama/generation.py#L212
register_conv_template(
diff --git a/pilot/prompts/prompt_new.py b/pilot/prompts/prompt_new.py
index 78e1585ea..84943050c 100644
--- a/pilot/prompts/prompt_new.py
+++ b/pilot/prompts/prompt_new.py
@@ -4,7 +4,7 @@ from typing import Any, Callable, Dict, List, Mapping, Optional, Set, Union
from pydantic import BaseModel, Extra, Field, root_validator
-from pilot.common.formatting import formatter
+from pilot.common.formatting import formatter, no_strict_formatter
from pilot.out_parser.base import BaseOutputParser
from pilot.common.schema import SeparatorStyle
from pilot.prompts.example_base import ExampleSelector
@@ -24,8 +24,10 @@ def jinja2_formatter(template: str, **kwargs: Any) -> str:
DEFAULT_FORMATTER_MAPPING: Dict[str, Callable] = {
- "f-string": formatter.format,
- "jinja2": jinja2_formatter,
+ "f-string": lambda is_strict: formatter.format
+ if is_strict
+ else no_strict_formatter.format,
+ "jinja2": lambda is_strict: jinja2_formatter,
}
@@ -38,6 +40,8 @@ class PromptTemplate(BaseModel, ABC):
template: Optional[str]
"""The prompt template."""
template_format: str = "f-string"
+ """strict template will check template args"""
+ template_is_strict: bool = True
"""The format of the prompt template. Options are: 'f-string', 'jinja2'."""
response_format: Optional[str]
"""default use stream out"""
@@ -68,10 +72,12 @@ class PromptTemplate(BaseModel, ABC):
"""Format the prompt with the inputs."""
if self.template:
if self.response_format:
- kwargs["response"] = json.dumps(self.response_format, indent=4)
+ kwargs["response"] = json.dumps(
+ self.response_format, ensure_ascii=False, indent=4
+ )
return DEFAULT_FORMATTER_MAPPING[self.template_format](
- self.template, **kwargs
- )
+ self.template_is_strict
+ )(self.template, **kwargs)
def add_goals(self, goal: str) -> None:
self.goals.append(goal)
diff --git a/pilot/prompts/prompt_registry.py b/pilot/prompts/prompt_registry.py
index 0372e92b3..1e4aeb135 100644
--- a/pilot/prompts/prompt_registry.py
+++ b/pilot/prompts/prompt_registry.py
@@ -58,13 +58,26 @@ class PromptTemplateRegistry:
scene_registry, prompt_template, language, [_DEFAULT_MODEL_KEY]
)
- def get_prompt_template(self, scene_name: str, language: str, model_name: str):
- """Get prompt template with scene name, language and model name"""
+ def get_prompt_template(
+ self,
+ scene_name: str,
+ language: str,
+ model_name: str,
+ proxyllm_backend: str = None,
+ ):
+ """Get prompt template with scene name, language and model name
+ proxyllm_backend: see CFG.PROXYLLM_BACKEND
+ """
scene_registry = self.registry[scene_name]
- registry = scene_registry.get(model_name)
+
print(
- f"Get prompt template of scene_name: {scene_name} with model_name: {model_name} language: {language}"
+ f"Get prompt template of scene_name: {scene_name} with model_name: {model_name}, proxyllm_backend: {proxyllm_backend}, language: {language}"
)
+ registry = None
+ if proxyllm_backend:
+ registry = scene_registry.get(proxyllm_backend)
+ if not registry:
+ registry = scene_registry.get(model_name)
if not registry:
registry = scene_registry.get(_DEFAULT_MODEL_KEY)
if not registry:
diff --git a/pilot/scene/base_chat.py b/pilot/scene/base_chat.py
index e4520931f..0c8abac4f 100644
--- a/pilot/scene/base_chat.py
+++ b/pilot/scene/base_chat.py
@@ -79,7 +79,10 @@ class BaseChat(ABC):
# ]
self.prompt_template: PromptTemplate = (
CFG.prompt_template_registry.get_prompt_template(
- self.chat_mode.value(), language=CFG.LANGUAGE, model_name=CFG.LLM_MODEL
+ self.chat_mode.value(),
+ language=CFG.LANGUAGE,
+ model_name=CFG.LLM_MODEL,
+ proxyllm_backend=CFG.PROXYLLM_BACKEND,
)
)
self.history_message: List[OnceConversation] = self.memory.messages()
diff --git a/pilot/scene/chat_db/auto_execute/example.py b/pilot/scene/chat_db/auto_execute/example.py
index df45b4ed3..ece464cdd 100644
--- a/pilot/scene/chat_db/auto_execute/example.py
+++ b/pilot/scene/chat_db/auto_execute/example.py
@@ -9,10 +9,7 @@ EXAMPLES = [
{
"type": "ai",
"data": {
- "content": """{
- \"thoughts\": \"thought text\",
- \"sql\": \"SELECT city FROM user where user_name='test1'\",
- }""",
+ "content": """{\n\"thoughts\": \"直接查询用户表中用户名为'test1'的记录即可\",\n\"sql\": \"SELECT city FROM user where user_name='test1'\"}""",
"example": True,
},
},
@@ -24,10 +21,7 @@ EXAMPLES = [
{
"type": "ai",
"data": {
- "content": """{
- \"thoughts\": \"thought text\",
- \"sql\": \"SELECT b.* FROM user a LEFT JOIN tran_order b ON a.user_name=b.user_name where a.city='成都'\",
- }""",
+ "content": """{\n\"thoughts\": \"根据订单表的用户名和用户表的用户名关联用户表和订单表，再通过用户表的城市为'成都'的过滤即可\",\n\"sql\": \"SELECT b.* FROM user a LEFT JOIN tran_order b ON a.user_name=b.user_name where a.city='成都'\"}""",
"example": True,
},
},
diff --git a/pilot/scene/chat_db/auto_execute/prompt.py b/pilot/scene/chat_db/auto_execute/prompt.py
index 60b748224..6ee691a88 100644
--- a/pilot/scene/chat_db/auto_execute/prompt.py
+++ b/pilot/scene/chat_db/auto_execute/prompt.py
@@ -43,7 +43,7 @@ PROMPT_TEMPERATURE = 0.5
prompt = PromptTemplate(
template_scene=ChatScene.ChatWithDbExecute.value(),
input_variables=["input", "table_info", "dialect", "top_k", "response"],
- response_format=json.dumps(RESPONSE_FORMAT_SIMPLE, indent=4),
+ response_format=json.dumps(RESPONSE_FORMAT_SIMPLE, ensure_ascii=False, indent=4),
template_define=PROMPT_SCENE_DEFINE,
template=_DEFAULT_TEMPLATE,
stream_out=PROMPT_NEED_NEED_STREAM_OUT,
@@ -54,3 +54,4 @@ prompt = PromptTemplate(
temperature=PROMPT_TEMPERATURE,
)
CFG.prompt_template_registry.register(prompt, is_default=True)
+from . import prompt_baichuan
diff --git a/pilot/scene/chat_db/auto_execute/prompt_baichuan.py b/pilot/scene/chat_db/auto_execute/prompt_baichuan.py
new file mode 100644
index 000000000..ed0c2c8b2
--- /dev/null
+++ b/pilot/scene/chat_db/auto_execute/prompt_baichuan.py
@@ -0,0 +1,66 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import json
+from pilot.prompts.prompt_new import PromptTemplate
+from pilot.configs.config import Config
+from pilot.scene.base import ChatScene
+from pilot.scene.chat_db.auto_execute.out_parser import DbChatOutputParser, SqlAction
+from pilot.common.schema import SeparatorStyle
+from pilot.scene.chat_db.auto_execute.example import sql_data_example
+
+CFG = Config()
+
+PROMPT_SCENE_DEFINE = None
+
+_DEFAULT_TEMPLATE = """
+你是一个 SQL 专家，给你一个用户的问题，你会生成一条对应的 {dialect} 语法的 SQL 语句。
+
+如果用户没有在问题中指定 sql 返回多少条数据，那么你生成的 sql 最多返回 {top_k} 条数据。
+你应该尽可能少地使用表。
+
+已知表结构信息如下：
+{table_info}
+
+注意：
+1. 只能使用表结构信息中提供的表来生成 sql，如果无法根据提供的表结构中生成 sql ，请说：“提供的表结构信息不足以生成 sql 查询。” 禁止随意捏造信息。
+2. 不要查询不存在的列，注意哪一列位于哪张表中。
+3. 使用 json 格式回答，确保你的回答是必须是正确的 json 格式，并且能被 python 语言的 `json.loads` 库解析, 格式如下：
+{response}
+"""
+
+RESPONSE_FORMAT_SIMPLE = {
+ "thoughts": "对用户说的想法摘要",
+ "sql": "生成的将被执行的 SQL",
+}
+
+PROMPT_SEP = SeparatorStyle.SINGLE.value
+
+PROMPT_NEED_NEED_STREAM_OUT = False
+
+# Temperature is a configuration hyperparameter that controls the randomness of language model output.
+# A high temperature produces more unpredictable and creative results, while a low temperature produces more common and conservative output.
+# For example, if you adjust the temperature to 0.5, the model will usually generate text that is more predictable and less creative than if you set the temperature to 1.0.
+PROMPT_TEMPERATURE = 0.5
+
+prompt = PromptTemplate(
+ template_scene=ChatScene.ChatWithDbExecute.value(),
+ input_variables=["input", "table_info", "dialect", "top_k", "response"],
+ response_format=json.dumps(RESPONSE_FORMAT_SIMPLE, ensure_ascii=False, indent=4),
+ template_is_strict=False,
+ template_define=PROMPT_SCENE_DEFINE,
+ template=_DEFAULT_TEMPLATE,
+ stream_out=PROMPT_NEED_NEED_STREAM_OUT,
+ output_parser=DbChatOutputParser(
+ sep=PROMPT_SEP, is_stream_out=PROMPT_NEED_NEED_STREAM_OUT
+ ),
+ # example_selector=sql_data_example,
+ temperature=PROMPT_TEMPERATURE,
+)
+
+CFG.prompt_template_registry.register(
+ prompt,
+ language=CFG.LANGUAGE,
+ is_default=False,
+ model_names=["baichuan-13b", "baichuan-7b"],
+)
diff --git a/pilot/server/chat_adapter.py b/pilot/server/chat_adapter.py
index 422fc1117..0ca8f97da 100644
--- a/pilot/server/chat_adapter.py
+++ b/pilot/server/chat_adapter.py
@@ -19,17 +19,20 @@ class BaseChatAdpter:
"""Return the generate stream handler func"""
pass
- def get_conv_template(self) -> Conversation:
+ def get_conv_template(self, model_path: str) -> Conversation:
return None
- def model_adaptation(self, params: Dict) -> Tuple[Dict, Dict]:
+ def model_adaptation(self, params: Dict, model_path: str) -> Tuple[Dict, Dict]:
"""Params adaptation"""
- conv = self.get_conv_template()
+ conv = self.get_conv_template(model_path)
messages = params.get("messages")
# Some model scontext to dbgpt server
model_context = {"prompt_echo_len_char": -1}
if not conv or not messages:
# Nothing to do
+ print(
+ f"No conv from model_path {model_path} or no messages in params, {self}"
+ )
return params, model_context
conv = conv.copy()
system_messages = []
@@ -84,6 +87,7 @@ def get_llm_chat_adapter(model_path: str) -> BaseChatAdpter:
"""Get a chat generate func for a model"""
for adapter in llm_model_chat_adapters:
if adapter.match(model_path):
+ print(f"Get model path: {model_path} adapter {adapter}")
return adapter
raise ValueError(f"Invalid model for chat adapter {model_path}")
@@ -191,7 +195,7 @@ class Llama2ChatAdapter(BaseChatAdpter):
def match(self, model_path: str):
return "llama-2" in model_path.lower()
- def get_conv_template(self) -> Conversation:
+ def get_conv_template(self, model_path: str) -> Conversation:
return get_conv_template("llama-2")
def get_generate_stream_func(self):
@@ -204,8 +208,10 @@ class BaichuanChatAdapter(BaseChatAdpter):
def match(self, model_path: str):
return "baichuan" in model_path.lower()
- def get_conv_template(self) -> Conversation:
- return get_conv_template("baichuan-chat")
+ def get_conv_template(self, model_path: str) -> Conversation:
+ if "chat" in model_path.lower():
+ return get_conv_template("baichuan-chat")
+ return get_conv_template("zero_shot")
def get_generate_stream_func(self):
from pilot.model.inference import generate_stream
diff --git a/pilot/server/llmserver.py b/pilot/server/llmserver.py
index 3f97e3f86..9a34f7685 100644
--- a/pilot/server/llmserver.py
+++ b/pilot/server/llmserver.py
@@ -78,7 +78,9 @@ class ModelWorker:
def generate_stream_gate(self, params):
try:
# params adaptation
- params, model_context = self.llm_chat_adapter.model_adaptation(params)
+ params, model_context = self.llm_chat_adapter.model_adaptation(
+ params, self.ml.model_path
+ )
for output in self.generate_stream_func(
self.model, self.tokenizer, params, DEVICE, CFG.MAX_POSITION_EMBEDDINGS
):
From cf99fc67df05816d49cfd0f62d95b5b2f3e2ad77 Mon Sep 17 00:00:00 2001
From: FangYin Cheng
Date: Tue, 25 Jul 2023 19:48:19 +0800
Subject: [PATCH 08/14] doc: update readme features about baichuan
---
README.md | 3 +--
README.zh.md | 3 +--
2 files changed, 2 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index 782ad2cc1..cabfe0d07 100644
--- a/README.md
+++ b/README.md
@@ -107,8 +107,7 @@ Currently, we have released multiple key features, which are listed below to dem
- Support for unstructured data such as PDF, TXT, Markdown, CSV, DOC, PPT, and WebURL
- Multi LLMs Support
- - Supports multiple large language models, currently supporting Vicuna (7b, 13b), ChatGLM-6b (int4, int8), guanaco(7b,13b,33b), Gorilla(7b,13b), 🔥 llama-2(7b, 13b, 70b)
- - TODO: baichuan(7b, 13b)
+ - Supports multiple large language models, currently supporting Vicuna (7b,13b), ChatGLM-6b (int4,int8), guanaco(7b,13b,33b), Gorilla(7b,13b), 🔥 llama-2(7b,13b,70b), baichuan(7b,13b)
[](https://star-history.com/#csunny/DB-GPT)
diff --git a/README.zh.md b/README.zh.md
index c2b0b8b29..3dffe3040 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -104,8 +104,7 @@ https://github.com/csunny/DB-GPT/assets/13723926/55f31781-1d49-4757-b96e-7ef6d3d
- 非结构化数据支持包括PDF、MarkDown、CSV、WebURL
- 多模型支持
- - 支持多种大语言模型, 当前已支持Vicuna(7b,13b), ChatGLM-6b(int4, int8), guanaco(7b,13b,33b), Gorilla(7b,13b), 🔥 llama-2(7b, 13b, 70b)
- - TODO: baichuan(7b, 13b)
+ - 支持多种大语言模型, 当前已支持Vicuna(7b,13b), ChatGLM-6b(int4,int8), guanaco(7b,13b,33b), Gorilla(7b,13b), 🔥 llama-2(7b,13b,70b), baichuan(7b,13b)
[](https://star-history.com/#csunny/DB-GPT)
From 7baaaf0849e418667bee9f6b054a8cd5fc8a8695 Mon Sep 17 00:00:00 2001
From: FangYin Cheng
Date: Tue, 25 Jul 2023 00:53:28 +0800
Subject: [PATCH 09/14] feat: Support baichuan-13B model
---
pilot/model/adapter.py | 2 ++
pilot/model/conversation.py | 2 ++
2 files changed, 4 insertions(+)
diff --git a/pilot/model/adapter.py b/pilot/model/adapter.py
index 900d51d4a..05643c734 100644
--- a/pilot/model/adapter.py
+++ b/pilot/model/adapter.py
@@ -12,6 +12,8 @@ from transformers import (
LlamaTokenizer,
BitsAndBytesConfig,
)
+from transformers.generation.utils import GenerationConfig
+
from pilot.configs.model_config import DEVICE
from pilot.configs.config import Config
diff --git a/pilot/model/conversation.py b/pilot/model/conversation.py
index 11ca03ed8..d29e73da3 100644
--- a/pilot/model/conversation.py
+++ b/pilot/model/conversation.py
@@ -2,6 +2,8 @@
Fork from fastchat: https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
Conversation prompt templates.
+
+
"""
import dataclasses
From 4b1c0a36f8cddd1a0df138466ce4ce29608363e8 Mon Sep 17 00:00:00 2001
From: FangYin Cheng
Date: Tue, 25 Jul 2023 18:39:07 +0800
Subject: [PATCH 10/14] feat: Support baichuan-7B model
---
pilot/model/adapter.py | 2 --
pilot/model/conversation.py | 2 --
2 files changed, 4 deletions(-)
diff --git a/pilot/model/adapter.py b/pilot/model/adapter.py
index 05643c734..900d51d4a 100644
--- a/pilot/model/adapter.py
+++ b/pilot/model/adapter.py
@@ -12,8 +12,6 @@ from transformers import (
LlamaTokenizer,
BitsAndBytesConfig,
)
-from transformers.generation.utils import GenerationConfig
-
from pilot.configs.model_config import DEVICE
from pilot.configs.config import Config
diff --git a/pilot/model/conversation.py b/pilot/model/conversation.py
index d29e73da3..11ca03ed8 100644
--- a/pilot/model/conversation.py
+++ b/pilot/model/conversation.py
@@ -2,8 +2,6 @@
Fork from fastchat: https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
Conversation prompt templates.
-
-
"""
import dataclasses
From 480b3b2c6904e8b8f82cdc070e5fa133d2beffdb Mon Sep 17 00:00:00 2001
From: csunny
Date: Wed, 26 Jul 2023 15:54:36 +0800
Subject: [PATCH 11/14] feat: add logo + update
---
README.md | 19 ++++++++++++++++---
README.zh.md | 8 ++++++++
assets/LOGO.png | Bin 0 -> 133365 bytes
3 files changed, 24 insertions(+), 3 deletions(-)
create mode 100644 assets/LOGO.png
diff --git a/README.md b/README.md
index cabfe0d07..54cf18c58 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,10 @@
# DB-GPT: Revolutionizing Database Interactions with Private LLM Technology
+
+