From 621d0e9c8218cd3d1851430830e5f39e478bf81d Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Mon, 20 May 2024 16:22:54 -0700 Subject: [PATCH 01/81] add graph version of the chain --- backend/graph_chain.py | 282 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 282 insertions(+) create mode 100644 backend/graph_chain.py diff --git a/backend/graph_chain.py b/backend/graph_chain.py new file mode 100644 index 000000000..b35aae257 --- /dev/null +++ b/backend/graph_chain.py @@ -0,0 +1,282 @@ +import os +from typing import Annotated, Literal, Sequence, TypedDict + +import weaviate +from langchain_core.documents import Document +from langchain_core.language_models import LanguageModelLike +from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, ToolMessage +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import ( + ChatPromptTemplate, + MessagesPlaceholder, + PromptTemplate, +) +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import ( + ConfigurableField, + RunnableSequence, + chain, +) +from langchain_openai import ChatOpenAI +from langchain_anthropic import ChatAnthropic +from langchain_fireworks import ChatFireworks +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_community.chat_models.cohere import ChatCohere +from langchain_community.vectorstores import Weaviate +from langgraph.graph import StateGraph, START, END, add_messages + +from ingest import get_embeddings_model +from constants import WEAVIATE_DOCS_INDEX_NAME + + +WEAVIATE_URL = os.environ["WEAVIATE_URL"] +WEAVIATE_API_KEY = os.environ["WEAVIATE_API_KEY"] + + +RESPONSE_TEMPLATE = """\ +You are an expert programmer and problem-solver, tasked with answering any question \ +about Langchain. + +Generate a comprehensive and informative answer of 80 words or less for the \ +given question based solely on the provided search results (URL and content). You must \ +only use information from the provided search results. Use an unbiased and \ +journalistic tone. Combine search results together into a coherent answer. Do not \ +repeat text. Cite search results using [${{number}}] notation. Only cite the most \ +relevant results that answer the question accurately. Place these citations at the end \ +of the sentence or paragraph that reference them - do not put them all at the end. If \ +different results refer to different entities within the same name, write separate \ +answers for each entity. + +You should use bullet points in your answer for readability. Put citations where they apply +rather than putting them all at the end. + +If there is nothing in the context relevant to the question at hand, just say "Hmm, \ +I'm not sure." Don't try to make up an answer. + +Anything between the following `context` html blocks is retrieved from a knowledge \ +bank, not part of the conversation with the user. + + + {context} + + +REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \ +not sure." Don't try to make up an answer. Anything between the preceding 'context' \ +html blocks is retrieved from a knowledge bank, not part of the conversation with the \ +user.\ +""" + +COHERE_RESPONSE_TEMPLATE = """\ +You are an expert programmer and problem-solver, tasked with answering any question \ +about Langchain. + +Generate a comprehensive and informative answer of 80 words or less for the \ +given question based solely on the provided search results (URL and content). You must \ +only use information from the provided search results. Use an unbiased and \ +journalistic tone. Combine search results together into a coherent answer. Do not \ +repeat text. Cite search results using [${{number}}] notation. Only cite the most \ +relevant results that answer the question accurately. Place these citations at the end \ +of the sentence or paragraph that reference them - do not put them all at the end. If \ +different results refer to different entities within the same name, write separate \ +answers for each entity. + +You should use bullet points in your answer for readability. Put citations where they apply +rather than putting them all at the end. + +If there is nothing in the context relevant to the question at hand, just say "Hmm, \ +I'm not sure." Don't try to make up an answer. + +REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \ +not sure." Don't try to make up an answer. Anything between the preceding 'context' \ +html blocks is retrieved from a knowledge bank, not part of the conversation with the \ +user.\ +""" + +REPHRASE_TEMPLATE = """\ +Given the following conversation and a follow up question, rephrase the follow up \ +question to be a standalone question. + +Chat History: +{chat_history} +Follow Up Input: {question} +Standalone Question:""" + + +class AgentState(TypedDict): + messages: Annotated[Sequence[BaseMessage], add_messages] + + +def get_model(model_name: str) -> LanguageModelLike: + gpt_3_5 = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0, streaming=True) + claude_3_sonnet = ChatAnthropic( + model="claude-3-sonnet-20240229", + temperature=0, + max_tokens=4096, + anthropic_api_key=os.environ.get("ANTHROPIC_API_KEY", "not_provided"), + ) + fireworks_mixtral = ChatFireworks( + model="accounts/fireworks/models/mixtral-8x7b-instruct", + temperature=0, + max_tokens=16384, + fireworks_api_key=os.environ.get("FIREWORKS_API_KEY", "not_provided"), + ) + gemini_pro = ChatGoogleGenerativeAI( + model="gemini-pro", + temperature=0, + max_tokens=16384, + convert_system_message_to_human=True, + google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), + ) + cohere_command = ChatCohere( + model="command", + temperature=0, + cohere_api_key=os.environ.get("COHERE_API_KEY", "not_provided"), + ) + llm = gpt_3_5.configurable_alternatives( + # This gives this field an id + # When configuring the end runnable, we can then use this id to configure this field + ConfigurableField(id="llm"), + default_key="openai_gpt_3_5_turbo", + anthropic_claude_3_sonnet=claude_3_sonnet, + fireworks_mixtral=fireworks_mixtral, + google_gemini_pro=gemini_pro, + cohere_command=cohere_command, + ).with_fallbacks( + [gpt_3_5, claude_3_sonnet, fireworks_mixtral, gemini_pro, cohere_command] + ) + return llm.with_config({"configurable": {"llm": model_name}}) + + +def get_retriever() -> BaseRetriever: + weaviate_client = weaviate.Client( + url=WEAVIATE_URL, + auth_client_secret=weaviate.AuthApiKey(api_key=WEAVIATE_API_KEY), + ) + weaviate_client = Weaviate( + client=weaviate_client, + index_name=WEAVIATE_DOCS_INDEX_NAME, + text_key="text", + embedding=get_embeddings_model(), + by_text=False, + attributes=["source", "title"], + ) + return weaviate_client.as_retriever(search_kwargs=dict(k=6)) + + +def format_docs(docs: Sequence[Document]) -> str: + formatted_docs = [] + for i, doc in enumerate(docs): + doc_string = f"{doc.page_content}" + formatted_docs.append(doc_string) + return "\n".join(formatted_docs) + + +def retrieve_documents(state: AgentState): + retriever = get_retriever() + query = state["messages"][-1].content + relevant_documents = retriever.get_relevant_documents(query) + return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} + + +def retrieve_documents_with_chat_history(state: AgentState, config): + model_name = config.get("configurable", {}).get("model_name", "anthropic_claude_3_sonnet") + retriever = get_retriever() + model = get_model(model_name) + + CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE) + condense_question_chain = ( + CONDENSE_QUESTION_PROMPT | + model | + StrOutputParser() + ).with_config( + run_name="CondenseQuestion", + ) + query = state["messages"][-1].content + print("condensed question", condense_question_chain.invoke({"question": query, "chat_history": get_chat_history(state)})) + retriever_with_condensed_question = condense_question_chain | retriever + relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(state)}) + return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} + + +def route_to_retriever(state: AgentState) -> Literal["retriever", "retriever_with_chat_history"]: + if len(state["messages"]) == 1: + return "retriever" + else: + return "retriever_with_chat_history" + + +def get_chat_history(state: AgentState): + chat_history = [] + for message in state["messages"]: + if isinstance(message, AIMessage) or isinstance(message, HumanMessage): + chat_history.append(message) + return chat_history + + +def get_last_message(messages, condition): + for message in reversed(messages): + if condition(message): + return message + + return None + + +def synthesize_response(state: AgentState, config): + messages = state["messages"] + model_name = config.get("configurable", {}).get("model_name", "anthropic") + model = get_model(model_name) + + last_human_message = get_last_message(messages, lambda message: isinstance(message, HumanMessage)) + if last_human_message is None: + raise AssertionError("Expecting to have at least 1 human message") + + prompt = ChatPromptTemplate.from_messages( + [ + ("system", RESPONSE_TEMPLATE), + MessagesPlaceholder(variable_name="chat_history"), + ("human", "{question}"), + ] + ) + default_response_synthesizer = prompt | model + cohere_prompt = ChatPromptTemplate.from_messages( + [ + ("system", COHERE_RESPONSE_TEMPLATE), + MessagesPlaceholder(variable_name="chat_history"), + ("human", "{question}"), + ] + ) + + @chain + def cohere_response_synthesizer(input: dict) -> RunnableSequence: + return cohere_prompt | model.bind(source_documents=input["docs"]) + + response_synthesizer = ( + default_response_synthesizer.configurable_alternatives( + ConfigurableField("llm"), + default_key="openai_gpt_3_5_turbo", + anthropic_claude_3_sonnet=default_response_synthesizer, + fireworks_mixtral=default_response_synthesizer, + google_gemini_pro=default_response_synthesizer, + cohere_command=cohere_response_synthesizer, + ) + ).with_config(run_name="GenerateResponse") + synthesized_response = response_synthesizer.invoke({ + "question": last_human_message.content, + "context": messages[-1].content, + "chat_history": get_chat_history(state) + }) + return {"messages": [synthesized_response]} + + +workflow = StateGraph(AgentState) + +workflow.add_node("response_synthesizer", synthesize_response) +workflow.add_node("retriever", retrieve_documents) +workflow.add_node("retriever_with_chat_history", retrieve_documents_with_chat_history) + +workflow.add_conditional_edges(START, route_to_retriever) +workflow.add_edge("retriever", "response_synthesizer") +workflow.add_edge("retriever_with_chat_history", "response_synthesizer") +workflow.add_edge("response_synthesizer", END) + +graph = workflow.compile() \ No newline at end of file From be35f63a5f7a1649cbccd74abbbbbd98a9fb1360 Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Mon, 20 May 2024 17:13:08 -0700 Subject: [PATCH 02/81] bump deps --- pyproject.toml | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 55dfbb05d..8c3ddcc28 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,24 +7,24 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" -langchain = "^0.1.12" -langsmith = "^0.1.25" -langchain-community = ">=0.0.27,<0.1" -langchain-openai = ">=0.0.8,<0.1" -langchain-google-genai = ">=0.0.6,<0.1" -langchain-anthropic = "^0.1.4" -langchain-fireworks = "^0.1.1" -langserve = {extras = ["server"], version = "^0.0.39"} +langchain = ">=0.2.0" +langsmith = "^0.1.60" +langchain-community = ">=0.2.0,<0.3.0" +langchain-openai = ">=0.1.7,<0.2.0" +#langchain-google-genai = ">=1.0.4,<2.0.0" +langchain-anthropic = "^0.1.13" +langchain-fireworks = "^0.1.3" +langserve = {extras = ["server"], version = "^0.2.0"} +langgraph = "^0.0.51" fastapi = "^0.103.1" pydantic = "1.10" uvicorn = "^0.23.2" beautifulsoup4 = "^4.12.2" weaviate-client = "^3.23.2" -psycopg2 = "^2.9.7" +#psycopg2 = "^2.9.7" lxml = "^4.9.3" voyageai = "^0.1.4" pillow = "^10.2.0" -tiktoken = "^0.5.2" cohere = "4.45" From 71dc146686b9bef048542e61be97de82c0f99e06 Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Mon, 20 May 2024 18:58:40 -0700 Subject: [PATCH 03/81] (wip) debugging of the langgraph deploy --- backend/graph_chain.py | 83 +++++++++++++++++++++++------------------- backend/ingest.py | 5 ++- 2 files changed, 49 insertions(+), 39 deletions(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index b35aae257..e60640475 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -4,7 +4,7 @@ import weaviate from langchain_core.documents import Document from langchain_core.language_models import LanguageModelLike -from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, ToolMessage +from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, ToolMessage, convert_to_messages from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ( ChatPromptTemplate, @@ -18,15 +18,15 @@ chain, ) from langchain_openai import ChatOpenAI +from langchain_cohere import ChatCohere from langchain_anthropic import ChatAnthropic from langchain_fireworks import ChatFireworks from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_community.chat_models.cohere import ChatCohere from langchain_community.vectorstores import Weaviate from langgraph.graph import StateGraph, START, END, add_messages -from ingest import get_embeddings_model -from constants import WEAVIATE_DOCS_INDEX_NAME +from backend.ingest import get_embeddings_model +from backend.constants import WEAVIATE_DOCS_INDEX_NAME WEAVIATE_URL = os.environ["WEAVIATE_URL"] @@ -120,13 +120,14 @@ def get_model(model_name: str) -> LanguageModelLike: max_tokens=16384, fireworks_api_key=os.environ.get("FIREWORKS_API_KEY", "not_provided"), ) - gemini_pro = ChatGoogleGenerativeAI( - model="gemini-pro", - temperature=0, - max_tokens=16384, - convert_system_message_to_human=True, - google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), - ) + # TODO (VB): figure out why this is choking + # gemini_pro = ChatGoogleGenerativeAI( + # model="gemini-pro", + # temperature=0, + # max_tokens=16384, + # convert_system_message_to_human=True, + # google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), + # ) cohere_command = ChatCohere( model="command", temperature=0, @@ -139,11 +140,15 @@ def get_model(model_name: str) -> LanguageModelLike: default_key="openai_gpt_3_5_turbo", anthropic_claude_3_sonnet=claude_3_sonnet, fireworks_mixtral=fireworks_mixtral, - google_gemini_pro=gemini_pro, + # google_gemini_pro=gemini_pro, cohere_command=cohere_command, - ).with_fallbacks( - [gpt_3_5, claude_3_sonnet, fireworks_mixtral, gemini_pro, cohere_command] - ) + ).with_fallbacks([ + gpt_3_5, + claude_3_sonnet, + fireworks_mixtral, + # gemini_pro, + cohere_command + ]) return llm.with_config({"configurable": {"llm": model_name}}) @@ -173,7 +178,8 @@ def format_docs(docs: Sequence[Document]) -> str: def retrieve_documents(state: AgentState): retriever = get_retriever() - query = state["messages"][-1].content + messages = convert_to_messages(state["messages"]) + query = messages[-1].content relevant_documents = retriever.get_relevant_documents(query) return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} @@ -191,8 +197,9 @@ def retrieve_documents_with_chat_history(state: AgentState, config): ).with_config( run_name="CondenseQuestion", ) - query = state["messages"][-1].content - print("condensed question", condense_question_chain.invoke({"question": query, "chat_history": get_chat_history(state)})) + + messages = convert_to_messages(state["messages"]) + query = messages[-1].content retriever_with_condensed_question = condense_question_chain | retriever relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(state)}) return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} @@ -203,11 +210,11 @@ def route_to_retriever(state: AgentState) -> Literal["retriever", "retriever_wit return "retriever" else: return "retriever_with_chat_history" - + def get_chat_history(state: AgentState): chat_history = [] - for message in state["messages"]: + for message in convert_to_messages(state["messages"]): if isinstance(message, AIMessage) or isinstance(message, HumanMessage): chat_history.append(message) return chat_history @@ -222,8 +229,8 @@ def get_last_message(messages, condition): def synthesize_response(state: AgentState, config): - messages = state["messages"] - model_name = config.get("configurable", {}).get("model_name", "anthropic") + messages = convert_to_messages(state["messages"]) + model_name = config.get("configurable", {}).get("model_name", "anthropic_claude_3_sonnet") model = get_model(model_name) last_human_message = get_last_message(messages, lambda message: isinstance(message, HumanMessage)) @@ -246,21 +253,23 @@ def synthesize_response(state: AgentState, config): ] ) - @chain - def cohere_response_synthesizer(input: dict) -> RunnableSequence: - return cohere_prompt | model.bind(source_documents=input["docs"]) - - response_synthesizer = ( - default_response_synthesizer.configurable_alternatives( - ConfigurableField("llm"), - default_key="openai_gpt_3_5_turbo", - anthropic_claude_3_sonnet=default_response_synthesizer, - fireworks_mixtral=default_response_synthesizer, - google_gemini_pro=default_response_synthesizer, - cohere_command=cohere_response_synthesizer, - ) - ).with_config(run_name="GenerateResponse") - synthesized_response = response_synthesizer.invoke({ + # TODO (VB): uncommend this, commented for debugging + + # @chain + # def cohere_response_synthesizer(input: dict) -> RunnableSequence: + # return cohere_prompt | model.bind(source_documents=input["docs"]) + + # response_synthesizer = ( + # default_response_synthesizer.configurable_alternatives( + # ConfigurableField("llm"), + # default_key="openai_gpt_3_5_turbo", + # anthropic_claude_3_sonnet=default_response_synthesizer, + # fireworks_mixtral=default_response_synthesizer, + # google_gemini_pro=default_response_synthesizer, + # cohere_command=cohere_response_synthesizer, + # ) + # ).with_config(run_name="GenerateResponse") + synthesized_response = default_response_synthesizer.invoke({ "question": last_human_message.content, "context": messages[-1].content, "chat_history": get_chat_history(state) diff --git a/backend/ingest.py b/backend/ingest.py index e062647c6..91f2bd2d2 100644 --- a/backend/ingest.py +++ b/backend/ingest.py @@ -2,11 +2,9 @@ import logging import os import re -from parser import langchain_docs_extractor import weaviate from bs4 import BeautifulSoup, SoupStrainer -from constants import WEAVIATE_DOCS_INDEX_NAME from langchain.document_loaders import RecursiveUrlLoader, SitemapLoader from langchain.indexes import SQLRecordManager, index from langchain.text_splitter import RecursiveCharacterTextSplitter @@ -15,6 +13,9 @@ from langchain_core.embeddings import Embeddings from langchain_openai import OpenAIEmbeddings +from backend.constants import WEAVIATE_DOCS_INDEX_NAME +from backend.parser import langchain_docs_extractor + logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) From ed1cc44faf98d1f4d0078f14457ba66209c817ba Mon Sep 17 00:00:00 2001 From: Vadym Barda Date: Mon, 20 May 2024 18:59:33 -0700 Subject: [PATCH 04/81] update deps --- poetry.lock | 986 ++++++++++++++++++++++++++++++++++--------------- pyproject.toml | 5 +- 2 files changed, 683 insertions(+), 308 deletions(-) diff --git a/poetry.lock b/poetry.lock index 09cb11082..263098fe4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -123,13 +123,13 @@ frozenlist = ">=1.1.0" [[package]] name = "anthropic" -version = "0.19.2" +version = "0.26.0" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.19.2-py3-none-any.whl", hash = "sha256:48f43091e977dac703beb46e46c44c172a443aebddf5fe6dd5776a660abb2907"}, - {file = "anthropic-0.19.2.tar.gz", hash = "sha256:ed3466ba365bdce5c5dbd2ce7915f59c6d6d8fcd69e79e4452cf06582741ca16"}, + {file = "anthropic-0.26.0-py3-none-any.whl", hash = "sha256:38fc415561d71dcf263b89da0cc6ecec498379b56256fc4242e9128bc707b283"}, + {file = "anthropic-0.26.0.tar.gz", hash = "sha256:6aaffeb05d515cf9788eef57150a5f827f3786883628ccac71dbe5671ab6f44e"}, ] [package.dependencies] @@ -210,17 +210,6 @@ files = [ [package.dependencies] cryptography = "*" -[[package]] -name = "backoff" -version = "2.2.1" -description = "Function decoration for backoff and retry" -optional = false -python-versions = ">=3.7,<4.0" -files = [ - {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"}, - {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"}, -] - [[package]] name = "beautifulsoup4" version = "4.12.3" @@ -242,6 +231,44 @@ charset-normalizer = ["charset-normalizer"] html5lib = ["html5lib"] lxml = ["lxml"] +[[package]] +name = "boto3" +version = "1.34.109" +description = "The AWS SDK for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "boto3-1.34.109-py3-none-any.whl", hash = "sha256:50a0f24dd737529ae489a3586f260b9220c6aede1ae7851fa4f33878c8805ef8"}, + {file = "boto3-1.34.109.tar.gz", hash = "sha256:98d389562e03a46fd79fea5f988e9e6032674a0c3e9e42c06941ec588b7e1070"}, +] + +[package.dependencies] +botocore = ">=1.34.109,<1.35.0" +jmespath = ">=0.7.1,<2.0.0" +s3transfer = ">=0.10.0,<0.11.0" + +[package.extras] +crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] + +[[package]] +name = "botocore" +version = "1.34.109" +description = "Low-level, data-driven core of boto 3." +optional = false +python-versions = ">=3.8" +files = [ + {file = "botocore-1.34.109-py3-none-any.whl", hash = "sha256:647059a81acbfab85c694b9b57b0ef200dde071449fb8837f10aef9c6472730d"}, + {file = "botocore-1.34.109.tar.gz", hash = "sha256:804821252597821f7223cb3bfca2a2a513ae0bb9a71e8e22605aff6866e13e71"}, +] + +[package.dependencies] +jmespath = ">=0.7.1,<2.0.0" +python-dateutil = ">=2.1,<3.0.0" +urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""} + +[package.extras] +crt = ["awscrt (==0.20.9)"] + [[package]] name = "cachetools" version = "5.3.2" @@ -443,22 +470,25 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} [[package]] name = "cohere" -version = "4.45" -description = "Python SDK for the Cohere API" +version = "5.5.0" +description = "" optional = false -python-versions = ">=3.8,<4.0" +python-versions = "<4.0,>=3.8" files = [ - {file = "cohere-4.45-py3-none-any.whl", hash = "sha256:bdaa2e5e1c64cf3b1d55caf9d483a33fa8eafed731a999fb0934ae12c0638b75"}, - {file = "cohere-4.45.tar.gz", hash = "sha256:63b21b2dc3abd718b18cae726a69d1b096a34eb59f3331c20469fd0df1672816"}, + {file = "cohere-5.5.0-py3-none-any.whl", hash = "sha256:7792e8898c95f2cb955b2d9f23b8602f73f3b698d59f1a1b4896c53809671da0"}, + {file = "cohere-5.5.0.tar.gz", hash = "sha256:00b492ebf8921e83cb2371f2ee36ddf301422daae3024343a87d4316f02b711b"}, ] [package.dependencies] -aiohttp = ">=3.0,<4.0" -backoff = ">=2.0,<3.0" -fastavro = ">=1.8,<2.0" -importlib_metadata = ">=6.0,<7.0" -requests = ">=2.25.0,<3.0.0" -urllib3 = ">=1.26,<3" +boto3 = ">=1.34.0,<2.0.0" +fastavro = ">=1.9.4,<2.0.0" +httpx = ">=0.21.2" +httpx-sse = ">=0.4.0,<0.5.0" +pydantic = ">=1.9.2" +requests = ">=2.0.0,<3.0.0" +tokenizers = ">=0.19,<0.20" +types-requests = ">=2.0.0,<3.0.0" +typing_extensions = ">=4.0.0" [[package]] name = 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@@ pydantic = "1.10" uvicorn = "^0.23.2" beautifulsoup4 = "^4.12.2" weaviate-client = "^3.23.2" -#psycopg2 = "^2.9.7" +psycopg2-binary = "^2.9.7" lxml = "^4.9.3" voyageai = "^0.1.4" pillow = "^10.2.0" From 65106c938f400ab4a8df5608559c368a2ae3dd08 Mon Sep 17 00:00:00 2001 From: vbarda Date: Mon, 20 May 2024 19:06:36 -0700 Subject: [PATCH 08/81] update gitignore --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 2d0ca8d3a..b3fcf851d 100644 --- a/.gitignore +++ b/.gitignore @@ -154,4 +154,4 @@ node_modules/ notebooks -.langgraph_data +.langgraph-data/ From 52894f93891affee734fc90108e027944dae30ee Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 09:39:37 -0700 Subject: [PATCH 09/81] switch to a better state representation --- backend/graph_chain.py | 46 +++++++++++++++++++++--------------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index e60640475..f97361abe 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -103,6 +103,8 @@ class AgentState(TypedDict): + query: str + documents: Sequence[Document] messages: Annotated[Sequence[BaseMessage], add_messages] @@ -181,7 +183,11 @@ def retrieve_documents(state: AgentState): messages = convert_to_messages(state["messages"]) query = messages[-1].content relevant_documents = retriever.get_relevant_documents(query) - return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} + return { + "query": query, + "documents": relevant_documents, + "messages": messages + } def retrieve_documents_with_chat_history(state: AgentState, config): @@ -201,8 +207,12 @@ def retrieve_documents_with_chat_history(state: AgentState, config): messages = convert_to_messages(state["messages"]) query = messages[-1].content retriever_with_condensed_question = condense_question_chain | retriever - relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(state)}) - return {"messages": [ToolMessage(tool_call_id="fake_tool_call", content=format_docs(relevant_documents))]} + relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(messages)}) + return { + "query": query, + "documents": relevant_documents, + "messages": messages + } def route_to_retriever(state: AgentState) -> Literal["retriever", "retriever_with_chat_history"]: @@ -212,31 +222,18 @@ def route_to_retriever(state: AgentState) -> Literal["retriever", "retriever_wit return "retriever_with_chat_history" -def get_chat_history(state: AgentState): +def get_chat_history(messages: Sequence[BaseMessage]) -> Sequence[BaseMessage]: chat_history = [] - for message in convert_to_messages(state["messages"]): + for message in messages: if isinstance(message, AIMessage) or isinstance(message, HumanMessage): chat_history.append(message) return chat_history -def get_last_message(messages, condition): - for message in reversed(messages): - if condition(message): - return message - - return None - - def synthesize_response(state: AgentState, config): - messages = convert_to_messages(state["messages"]) model_name = config.get("configurable", {}).get("model_name", "anthropic_claude_3_sonnet") model = get_model(model_name) - last_human_message = get_last_message(messages, lambda message: isinstance(message, HumanMessage)) - if last_human_message is None: - raise AssertionError("Expecting to have at least 1 human message") - prompt = ChatPromptTemplate.from_messages( [ ("system", RESPONSE_TEMPLATE), @@ -270,11 +267,14 @@ def synthesize_response(state: AgentState, config): # ) # ).with_config(run_name="GenerateResponse") synthesized_response = default_response_synthesizer.invoke({ - "question": last_human_message.content, - "context": messages[-1].content, - "chat_history": get_chat_history(state) + "question": state["query"], + "context": format_docs(state["documents"]), + "chat_history": get_chat_history(convert_to_messages(state["messages"])) }) - return {"messages": [synthesized_response]} + return { + **state, + "messages": [synthesized_response], + } workflow = StateGraph(AgentState) @@ -283,7 +283,7 @@ def synthesize_response(state: AgentState, config): workflow.add_node("retriever", retrieve_documents) workflow.add_node("retriever_with_chat_history", retrieve_documents_with_chat_history) -workflow.add_conditional_edges(START, route_to_retriever) +workflow.set_conditional_entry_point(route_to_retriever) workflow.add_edge("retriever", "response_synthesizer") workflow.add_edge("retriever_with_chat_history", "response_synthesizer") workflow.add_edge("response_synthesizer", END) From 4baecc0e410edb35758c5a1bed0721140890612c Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 10:58:05 -0700 Subject: [PATCH 10/81] switch to separate synthesizer nodes --- backend/graph_chain.py | 101 +++++++++++++++++++++-------------------- 1 file changed, 53 insertions(+), 48 deletions(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index f97361abe..b0394cf1c 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -4,7 +4,7 @@ import weaviate from langchain_core.documents import Document from langchain_core.language_models import LanguageModelLike -from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, ToolMessage, convert_to_messages +from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, convert_to_messages from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ( ChatPromptTemplate, @@ -23,7 +23,7 @@ from langchain_fireworks import ChatFireworks from langchain_google_genai import ChatGoogleGenerativeAI from langchain_community.vectorstores import Weaviate -from langgraph.graph import StateGraph, START, END, add_messages +from langgraph.graph import StateGraph, END, add_messages from backend.ingest import get_embeddings_model from backend.constants import WEAVIATE_DOCS_INDEX_NAME @@ -102,6 +102,13 @@ Standalone Question:""" +OPENAI_MODEL_KEY = "openai_gpt_3_5_turbo" +ANTHROPIC_MODEL_KEY = "anthropic_claude_3_sonnet" +FIREWORKS_MIXTRAL_MODEL_KEY = "fireworks_mixtral" +GOOGLE_MODEL_KEY = "google_gemini_pro" +COHERE_MODEL_KEY = "cohere_command" + + class AgentState(TypedDict): query: str documents: Sequence[Document] @@ -135,19 +142,17 @@ def get_model(model_name: str) -> LanguageModelLike: temperature=0, cohere_api_key=os.environ.get("COHERE_API_KEY", "not_provided"), ) + model_map = { + ANTHROPIC_MODEL_KEY: claude_3_sonnet, + FIREWORKS_MIXTRAL_MODEL_KEY: fireworks_mixtral, + # GOOGLE_MODEL_KEY: gemini_pro, + COHERE_MODEL_KEY: cohere_command, + } llm = gpt_3_5.configurable_alternatives( - # This gives this field an id - # When configuring the end runnable, we can then use this id to configure this field ConfigurableField(id="llm"), - default_key="openai_gpt_3_5_turbo", - anthropic_claude_3_sonnet=claude_3_sonnet, - fireworks_mixtral=fireworks_mixtral, - # google_gemini_pro=gemini_pro, - cohere_command=cohere_command, - ).with_fallbacks([ - gpt_3_5, - claude_3_sonnet, - fireworks_mixtral, + default_key=OPENAI_MODEL_KEY, + **model_map + ).with_fallbacks([gpt_3_5, claude_3_sonnet, fireworks_mixtral, # gemini_pro, cohere_command ]) @@ -191,7 +196,7 @@ def retrieve_documents(state: AgentState): def retrieve_documents_with_chat_history(state: AgentState, config): - model_name = config.get("configurable", {}).get("model_name", "anthropic_claude_3_sonnet") + model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) retriever = get_retriever() model = get_model(model_name) @@ -230,43 +235,16 @@ def get_chat_history(messages: Sequence[BaseMessage]) -> Sequence[BaseMessage]: return chat_history -def synthesize_response(state: AgentState, config): - model_name = config.get("configurable", {}).get("model_name", "anthropic_claude_3_sonnet") - model = get_model(model_name) - +def synthesize_response(state: AgentState, model: LanguageModelLike, prompt_template: str): prompt = ChatPromptTemplate.from_messages( [ - ("system", RESPONSE_TEMPLATE), + ("system", prompt_template), MessagesPlaceholder(variable_name="chat_history"), ("human", "{question}"), ] ) - default_response_synthesizer = prompt | model - cohere_prompt = ChatPromptTemplate.from_messages( - [ - ("system", COHERE_RESPONSE_TEMPLATE), - MessagesPlaceholder(variable_name="chat_history"), - ("human", "{question}"), - ] - ) - - # TODO (VB): uncommend this, commented for debugging - - # @chain - # def cohere_response_synthesizer(input: dict) -> RunnableSequence: - # return cohere_prompt | model.bind(source_documents=input["docs"]) - - # response_synthesizer = ( - # default_response_synthesizer.configurable_alternatives( - # ConfigurableField("llm"), - # default_key="openai_gpt_3_5_turbo", - # anthropic_claude_3_sonnet=default_response_synthesizer, - # fireworks_mixtral=default_response_synthesizer, - # google_gemini_pro=default_response_synthesizer, - # cohere_command=cohere_response_synthesizer, - # ) - # ).with_config(run_name="GenerateResponse") - synthesized_response = default_response_synthesizer.invoke({ + response_synthesizer = prompt | model + synthesized_response = response_synthesizer.invoke({ "question": state["query"], "context": format_docs(state["documents"]), "chat_history": get_chat_history(convert_to_messages(state["messages"])) @@ -277,15 +255,42 @@ def synthesize_response(state: AgentState, config): } +def synthesize_response_default(state: AgentState, config): + model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) + model = get_model(model_name) + return synthesize_response(state, model, RESPONSE_TEMPLATE) + + +def synthesize_response_cohere(state: AgentState): + model = get_model(COHERE_MODEL_KEY).bind(documents=state["documents"]) + return synthesize_response(state, model, COHERE_RESPONSE_TEMPLATE) + + +def route_to_response_synthesizer(state: AgentState, config) -> Literal["response_synthesizer", "response_synthesizer_cohere"]: + model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) + if model_name == COHERE_MODEL_KEY: + return "response_synthesizer_cohere" + else: + return "response_synthesizer" + + workflow = StateGraph(AgentState) -workflow.add_node("response_synthesizer", synthesize_response) +# define nodes workflow.add_node("retriever", retrieve_documents) workflow.add_node("retriever_with_chat_history", retrieve_documents_with_chat_history) +workflow.add_node("response_synthesizer", synthesize_response_default) +workflow.add_node("response_synthesizer_cohere", synthesize_response_cohere) +# set entry point to retrievers workflow.set_conditional_entry_point(route_to_retriever) -workflow.add_edge("retriever", "response_synthesizer") -workflow.add_edge("retriever_with_chat_history", "response_synthesizer") + +# connect retrievers and response synthesizers +workflow.add_conditional_edges("retriever", route_to_response_synthesizer) +workflow.add_conditional_edges("retriever_with_chat_history", route_to_response_synthesizer) + +# connect synthesizers to terminal node workflow.add_edge("response_synthesizer", END) +workflow.add_edge("response_synthesizer_cohere", END) graph = workflow.compile() \ No newline at end of file From 666c5cd5b1e4a39bc8f3f640222fcddcdc0eccbe Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 12:27:24 -0700 Subject: [PATCH 11/81] small fix --- backend/graph_chain.py | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index b0394cf1c..48abfdb19 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -12,11 +12,7 @@ PromptTemplate, ) from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import ( - ConfigurableField, - RunnableSequence, - chain, -) +from langchain_core.runnables import ConfigurableField from langchain_openai import ChatOpenAI from langchain_cohere import ChatCohere from langchain_anthropic import ChatAnthropic @@ -191,7 +187,7 @@ def retrieve_documents(state: AgentState): return { "query": query, "documents": relevant_documents, - "messages": messages + "messages": [] } @@ -201,11 +197,7 @@ def retrieve_documents_with_chat_history(state: AgentState, config): model = get_model(model_name) CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE) - condense_question_chain = ( - CONDENSE_QUESTION_PROMPT | - model | - StrOutputParser() - ).with_config( + condense_question_chain = (CONDENSE_QUESTION_PROMPT | model | StrOutputParser()).with_config( run_name="CondenseQuestion", ) @@ -216,7 +208,7 @@ def retrieve_documents_with_chat_history(state: AgentState, config): return { "query": query, "documents": relevant_documents, - "messages": messages + "messages": [] } From 5fc9c01874e645a63d214e4b22e5983b8908b709 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 16:22:09 -0700 Subject: [PATCH 12/81] bring back gemini --- backend/graph_chain.py | 27 ++++++++++++--------------- 1 file changed, 12 insertions(+), 15 deletions(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index 48abfdb19..015cd2c0a 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -107,8 +107,8 @@ class AgentState(TypedDict): query: str - documents: Sequence[Document] - messages: Annotated[Sequence[BaseMessage], add_messages] + documents: list[Document] + messages: Annotated[list[BaseMessage], add_messages] def get_model(model_name: str) -> LanguageModelLike: @@ -125,14 +125,13 @@ def get_model(model_name: str) -> LanguageModelLike: max_tokens=16384, fireworks_api_key=os.environ.get("FIREWORKS_API_KEY", "not_provided"), ) - # TODO (VB): figure out why this is choking - # gemini_pro = ChatGoogleGenerativeAI( - # model="gemini-pro", - # temperature=0, - # max_tokens=16384, - # convert_system_message_to_human=True, - # google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), - # ) + gemini_pro = ChatGoogleGenerativeAI( + model="gemini-pro", + temperature=0, + max_output_tokens=16384, + convert_system_message_to_human=True, + google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), + ) cohere_command = ChatCohere( model="command", temperature=0, @@ -141,17 +140,15 @@ def get_model(model_name: str) -> LanguageModelLike: model_map = { ANTHROPIC_MODEL_KEY: claude_3_sonnet, FIREWORKS_MIXTRAL_MODEL_KEY: fireworks_mixtral, - # GOOGLE_MODEL_KEY: gemini_pro, + GOOGLE_MODEL_KEY: gemini_pro, COHERE_MODEL_KEY: cohere_command, } llm = gpt_3_5.configurable_alternatives( ConfigurableField(id="llm"), default_key=OPENAI_MODEL_KEY, **model_map - ).with_fallbacks([gpt_3_5, claude_3_sonnet, fireworks_mixtral, - # gemini_pro, - cohere_command - ]) + ).with_fallbacks([gpt_3_5, claude_3_sonnet, fireworks_mixtral, gemini_pro, cohere_command]) + llm = gemini_pro return llm.with_config({"configurable": {"llm": model_name}}) From 0cf7039a5dd81d18ee40663b8b56db3813905371 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 16:24:19 -0700 Subject: [PATCH 13/81] massage dependencies --- pyproject.toml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c5324e551..2cce8ceaf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,15 +9,15 @@ packages = [{include = "backend"}] [tool.poetry.dependencies] python = "^3.10" langchain = ">=0.2.0" -langsmith = "^0.1.60" -langchain-cohere= ">=0.1.5,<0.2.0" +langsmith = "^0.1.60" +langchain-cohere = ">=0.1.5,<0.2.0" langchain-community = ">=0.2.0,<0.3.0" langchain-openai = ">=0.1.7,<0.2.0" langchain-google-genai = ">=1.0.4,<2.0.0" langchain-anthropic = "^0.1.13" langchain-fireworks = "^0.1.3" langserve = {extras = ["server"], version = "^0.2.0"} -langgraph = "^0.0.51" +langgraph = "^0.0.53" fastapi = "^0.103.1" pydantic = "1.10" uvicorn = "^0.23.2" From bc81eb7ae5fcacd04b4717375baa97e209c36f46 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 16:40:47 -0700 Subject: [PATCH 14/81] vbump langgraph --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 2cce8ceaf..49b7d0b7b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ langchain-google-genai = ">=1.0.4,<2.0.0" langchain-anthropic = "^0.1.13" langchain-fireworks = "^0.1.3" langserve = {extras = ["server"], version = "^0.2.0"} -langgraph = "^0.0.53" +langgraph = "^0.0.54" fastapi = "^0.103.1" pydantic = "1.10" uvicorn = "^0.23.2" From 17980e2d5af5c457e3cf04548de0a66dce42cee6 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 16:53:08 -0700 Subject: [PATCH 15/81] fix debugging remnant --- backend/graph_chain.py | 1 - 1 file changed, 1 deletion(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index f1ed8095b..cc55a7853 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -148,7 +148,6 @@ def get_model(model_name: str) -> LanguageModelLike: default_key=OPENAI_MODEL_KEY, **model_map ).with_fallbacks([gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command]) - llm = gemini_pro return llm.with_config({"configurable": {"llm": model_name}}) From e049af841133b3f02fa9dc161b3738d5f3082fd5 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 17:08:11 -0700 Subject: [PATCH 16/81] update the genai version --- poetry.lock | 138 +++++++++++++++++++++++++++++++++++++------------ pyproject.toml | 2 +- 2 files changed, 105 insertions(+), 35 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0b8657926..fc27a10e8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -123,19 +123,20 @@ frozenlist = ">=1.1.0" [[package]] name = "anthropic" -version = "0.26.0" +version = "0.26.1" description = "The official 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"sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] [[package]] name = "six" @@ -3002,13 +3072,13 @@ telegram = ["requests"] [[package]] name = "types-requests" -version = "2.31.0.20240406" +version = "2.32.0.20240521" description = "Typing stubs for requests" optional = false python-versions = ">=3.8" files = [ - {file = "types-requests-2.31.0.20240406.tar.gz", hash = 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langchain-community = ">=0.2.0,<0.3.0" langchain-openai = ">=0.1.7,<0.2.0" -langchain-google-genai = ">=1.0.4,<2.0.0" +langchain-google-genai = ">=1.0.5,<2.0.0" langchain-anthropic = "^0.1.13" langchain-fireworks = "^0.1.3" langserve = {extras = ["server"], version = "^0.2.0"} From 25594ae25d74bf152a2c385fbdecf46fa149ee3c Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 21 May 2024 17:13:35 -0700 Subject: [PATCH 17/81] fix another debugging remnant --- backend/graph_chain.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index cc55a7853..c1335cee6 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -244,7 +244,7 @@ def synthesize_response(state: AgentState, model: LanguageModelLike, prompt_temp def synthesize_response_default(state: AgentState, config): - model_name = config.get("configurable", {}).get("model_name", GOOGLE_MODEL_KEY) + model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) model = get_model(model_name) return synthesize_response(state, model, RESPONSE_TEMPLATE) From 1feff32e2e668dc998699d6ca337bddd46ed38c2 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 12:48:23 -0700 Subject: [PATCH 18/81] (wip) switching UI to langgraph SDK --- frontend/app/components/ChatWindow.tsx | 180 ++++++++++++++----------- frontend/app/page.tsx | 3 +- frontend/app/utils/constants.tsx | 2 +- 3 files changed, 105 insertions(+), 80 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index ad7ad918a..2395d81c3 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -26,6 +26,8 @@ import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; import { Source } from "./SourceBubble"; import { apiBaseUrl } from "../utils/constants"; +import { useStreamState } from "../hooks/useStreamState"; +import { Client } from "langgraph-sdk" const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -38,9 +40,39 @@ const MODEL_TYPES = [ const defaultLlmValue = MODEL_TYPES[Math.floor(Math.random() * MODEL_TYPES.length)]; -export function ChatWindow(props: { conversationId: string }) { - const conversationId = props.conversationId; +const getThreadId = async (client: Client) => { + const response = await client.threads.create({ metadata: null }) + return response["thread_id"] +} + +const getAssistantId = async (client: Client) => { + const response = await client.assistants.search({ metadata: null, offset: 0, limit: 10 }) + if (response.length !== 1) { + throw Error(`Expected exactly one assistant, got ${response.length} instead`) + } + return response[0]["assistant_id"] +} +export function mergeMessagesById( + left: Message[] | Record | null | undefined, + right: Message[] | Record | null | undefined, +): Message[] { + const leftMsgs = Array.isArray(left) ? left : left?.messages; + const rightMsgs = Array.isArray(right) ? right : right?.messages; + + const merged = (leftMsgs ?? [])?.slice(); + for (const msg of rightMsgs ?? []) { + const foundIdx = merged.findIndex((m: any) => m.id === msg.id); + if (foundIdx === -1) { + merged.push(msg); + } else { + merged[foundIdx] = msg; + } + } + return merged; +} + +export function ChatWindow() { const searchParams = useSearchParams(); const messageContainerRef = useRef(null); @@ -51,15 +83,24 @@ export function ChatWindow(props: { conversationId: string }) { searchParams.get("llm") ?? "openai_gpt_3_5_turbo", ); const [llmIsLoading, setLlmIsLoading] = useState(true); + const [threadId, setThreadId] = useState(""); + const [assistantId, setAssistantId] = useState(""); + + const client = new Client({ apiUrl: apiBaseUrl }) + + const setLanggraphInfo = async () => { + const assistantId = await getAssistantId(client); + setAssistantId(assistantId) + const threadId = await getThreadId(client); + setThreadId(threadId); + } + useEffect(() => { setLlm(searchParams.get("llm") ?? defaultLlmValue); + setLanggraphInfo(); setLlmIsLoading(false); }, []); - const [chatHistory, setChatHistory] = useState< - { human: string; ai: string }[] - >([]); - const sendMessage = async (message?: string) => { if (messageContainerRef.current) { messageContainerRef.current.classList.add("grow"); @@ -70,9 +111,10 @@ export function ChatWindow(props: { conversationId: string }) { const messageValue = message ?? input; if (messageValue === "") return; setInput(""); + const formattedMessage: Message = { id: Math.random().toString(), content: messageValue, role: "user" } setMessages((prevMessages) => [ ...prevMessages, - { id: Math.random().toString(), content: messageValue, role: "user" }, + formattedMessage ]); setIsLoading(true); @@ -105,80 +147,64 @@ export function ChatWindow(props: { conversationId: string }) { try { const sourceStepName = "FindDocs"; let streamedResponse: Record = {}; - const remoteChain = new RemoteRunnable({ - url: apiBaseUrl + "/chat", - options: { - timeout: 60000, - }, - }); + const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamLog = await remoteChain.streamLog( - { - question: messageValue, - chat_history: chatHistory, - }, - { - configurable: { - llm: llmDisplayName, - }, - tags: ["model:" + llmDisplayName], - metadata: { - conversation_id: conversationId, - llm: llmDisplayName, - }, - }, - { - includeNames: [sourceStepName], - }, - ); - for await (const chunk of streamLog) { - streamedResponse = applyPatch(streamedResponse, chunk.ops).newDocument; - if ( - Array.isArray( - streamedResponse?.logs?.[sourceStepName]?.final_output?.output, - ) - ) { - sources = streamedResponse.logs[ - sourceStepName - ].final_output.output.map((doc: Record) => ({ - url: doc.metadata.source, - title: doc.metadata.title, - })); - } - if (streamedResponse.id !== undefined) { - runId = streamedResponse.id; - } - if (Array.isArray(streamedResponse?.streamed_output)) { - accumulatedMessage = streamedResponse.streamed_output.join(""); + const streamResponse = client.runs.stream(threadId, assistantId, { input: { + "messages": [formattedMessage], + "assistant_id": assistantId, + }, streamMode: "messages"}) + + for await (const chunk of streamResponse) { + console.log("chunk event", chunk.event) + if (chunk.event === "metadata") { + runId = chunk.data as Record["run_id"] + } else if (chunk.event === "messages/partial") { + const chunkMessages = chunk.data as Message[]; + setMessages(prevMessages => mergeMessagesById(prevMessages, chunkMessages.map(message => ({...message, runId: runId, role: message["type"]})))); } - const parsedResult = marked.parse(accumulatedMessage); - setMessages((prevMessages) => { - let newMessages = [...prevMessages]; - if ( - messageIndex === null || - newMessages[messageIndex] === undefined - ) { - messageIndex = newMessages.length; - newMessages.push({ - id: Math.random().toString(), - content: parsedResult.trim(), - runId: runId, - sources: sources, - role: "assistant", - }); - } else if (newMessages[messageIndex] !== undefined) { - newMessages[messageIndex].content = parsedResult.trim(); - newMessages[messageIndex].runId = runId; - newMessages[messageIndex].sources = sources; - } - return newMessages; - }); + // TODO: figure out how to propagate sources + // if ( + // Array.isArray( + // streamedResponse?.logs?.[sourceStepName]?.final_output?.output, + // ) + // ) { + // sources = streamedResponse.logs[ + // sourceStepName + // ].final_output.output.map((doc: Record) => ({ + // url: doc.metadata.source, + // title: doc.metadata.title, + // })); + // } + + // if (Array.isArray(streamedResponse?.streamed_output)) { + // accumulatedMessage = streamedResponse.streamed_output.join(""); + // } + // const parsedResult = marked.parse(accumulatedMessage); + + // setMessages((prevMessages) => { + // let newMessages = [...prevMessages]; + // if ( + // messageIndex === null || + // newMessages[messageIndex] === undefined + // ) { + // messageIndex = newMessages.length; + // newMessages.push({ + // id: Math.random().toString(), + // content: parsedResult.trim(), + // runId: runId, + // sources: sources, + // role: "assistant", + // }); + // } else if (newMessages[messageIndex] !== undefined) { + // newMessages[messageIndex].content = parsedResult.trim(); + // newMessages[messageIndex].runId = runId; + // newMessages[messageIndex].sources = sources; + // } + // return newMessages; + // }); } - setChatHistory((prevChatHistory) => [ - ...prevChatHistory, - { human: messageValue, ai: accumulatedMessage }, - ]); + setIsLoading(false); } catch (e) { setMessages((prevMessages) => prevMessages.slice(0, -1)); diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx index 607ca66ed..80498ee58 100644 --- a/frontend/app/page.tsx +++ b/frontend/app/page.tsx @@ -1,6 +1,5 @@ "use client"; -import { v4 as uuidv4 } from "uuid"; import { ChatWindow } from "./components/ChatWindow"; import { ToastContainer } from "react-toastify"; @@ -10,7 +9,7 @@ export default function Home() { return ( - + ); } diff --git a/frontend/app/utils/constants.tsx b/frontend/app/utils/constants.tsx index 81d1ab9ed..80452ae47 100644 --- a/frontend/app/utils/constants.tsx +++ b/frontend/app/utils/constants.tsx @@ -1,2 +1,2 @@ export const apiBaseUrl = - process.env.NEXT_PUBLIC_API_BASE_URL ?? "http://localhost:8080"; + process.env.NEXT_PUBLIC_API_BASE_URL ?? "http://localhost:8123"; From d596a06271a809557cb15228f969955f365757f0 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 14:32:56 -0700 Subject: [PATCH 19/81] add nostream tag to the question condenser --- backend/graph_chain.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/graph_chain.py b/backend/graph_chain.py index c1335cee6..bbd014dde 100644 --- a/backend/graph_chain.py +++ b/backend/graph_chain.py @@ -190,7 +190,7 @@ def retrieve_documents(state: AgentState): def retrieve_documents_with_chat_history(state: AgentState, config): model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) retriever = get_retriever() - model = get_model(model_name) + model = get_model(model_name).with_config(tags=["nostream"]) CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE) condense_question_chain = (CONDENSE_QUESTION_PROMPT | model | StrOutputParser()).with_config( From a3835c51ec451d79ca0cc93416e7101807486250 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 14:42:37 -0700 Subject: [PATCH 20/81] UI working end-to-end --- frontend/app/components/ChatMessageBubble.tsx | 10 +- frontend/app/components/ChatWindow.tsx | 86 +- frontend/package.json | 1 + frontend/yarn.lock | 10964 +++++++--------- 4 files changed, 4499 insertions(+), 6562 deletions(-) diff --git a/frontend/app/components/ChatMessageBubble.tsx b/frontend/app/components/ChatMessageBubble.tsx index b3d41e5fc..1bfd62c95 100644 --- a/frontend/app/components/ChatMessageBubble.tsx +++ b/frontend/app/components/ChatMessageBubble.tsx @@ -22,7 +22,7 @@ export type Message = { id: string; createdAt?: Date; content: string; - role: "system" | "user" | "assistant" | "function"; + type: "system" | "human" | "ai" | "function"; runId?: string; sources?: Source[]; name?: string; @@ -118,8 +118,8 @@ export function ChatMessageBubble(props: { isMostRecent: boolean; messageCompleted: boolean; }) { - const { role, content, runId } = props.message; - const isUser = role === "user"; + const { type, content, runId } = props.message; + const isUser = type === "human"; const [isLoading, setIsLoading] = useState(false); const [traceIsLoading, setTraceIsLoading] = useState(false); const [feedback, setFeedback] = useState(null); @@ -214,7 +214,7 @@ export function ChatMessageBubble(props: { filteredSources.map(() => false), ); const answerElements = - role === "assistant" + type === "ai" ? createAnswerElements( content, filteredSources, @@ -310,7 +310,7 @@ export function ChatMessageBubble(props: { )} - {props.message.role !== "user" && + {props.message.type !== "human" && props.isMostRecent && props.messageCompleted && ( diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 2395d81c3..28263d84d 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -2,8 +2,6 @@ import React, { useEffect, useRef, useState } from "react"; import { useSearchParams } from "next/navigation"; -import { RemoteRunnable } from "@langchain/core/runnables/remote"; -import { applyPatch } from "@langchain/core/utils/json_patch"; import { EmptyState } from "./EmptyState"; import { ChatMessageBubble, Message } from "./ChatMessageBubble"; @@ -26,8 +24,8 @@ import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; import { Source } from "./SourceBubble"; import { apiBaseUrl } from "../utils/constants"; -import { useStreamState } from "../hooks/useStreamState"; import { Client } from "langgraph-sdk" +import { Document } from "@langchain/core/documents" const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -111,17 +109,15 @@ export function ChatWindow() { const messageValue = message ?? input; if (messageValue === "") return; setInput(""); - const formattedMessage: Message = { id: Math.random().toString(), content: messageValue, role: "user" } + const formattedMessage: Message = { id: Math.random().toString(), content: messageValue, type: "human" } setMessages((prevMessages) => [ ...prevMessages, formattedMessage ]); setIsLoading(true); - let accumulatedMessage = ""; let runId: string | undefined = undefined; let sources: Source[] | undefined = undefined; - let messageIndex: number | null = null; let renderer = new Renderer(); renderer.paragraph = (text) => { @@ -145,66 +141,40 @@ export function ChatWindow() { }; marked.setOptions({ renderer }); try { - const sourceStepName = "FindDocs"; - let streamedResponse: Record = {}; - const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = client.runs.stream(threadId, assistantId, { input: { - "messages": [formattedMessage], - "assistant_id": assistantId, - }, streamMode: "messages"}) + const streamResponse = client.runs.stream( + threadId, + assistantId, + { + input: { + "messages": [formattedMessage], + "assistant_id": assistantId, + }, + config: { + "configurable": { "model_name": llm }, + tags: ["model:" + llmDisplayName], + recursion_limit: 10 + }, + // @ts-ignore + streamMode: ["messages", "values"], + } + ) for await (const chunk of streamResponse) { - console.log("chunk event", chunk.event) if (chunk.event === "metadata") { - runId = chunk.data as Record["run_id"] + runId = (chunk.data as Record)["run_id"] } else if (chunk.event === "messages/partial") { const chunkMessages = chunk.data as Message[]; - setMessages(prevMessages => mergeMessagesById(prevMessages, chunkMessages.map(message => ({...message, runId: runId, role: message["type"]})))); + setMessages(prevMessages => mergeMessagesById(prevMessages, chunkMessages.map(message => ({...message, sources })))) + } else if (chunk.event === "values") { + const data = chunk.data as Record + const documents = (data["documents"] ?? []) as Array + sources = documents.map(doc => ({ + url: doc.metadata.source, + title: doc.metadata.title + })) } - - // TODO: figure out how to propagate sources - // if ( - // Array.isArray( - // streamedResponse?.logs?.[sourceStepName]?.final_output?.output, - // ) - // ) { - // sources = streamedResponse.logs[ - // sourceStepName - // ].final_output.output.map((doc: Record) => ({ - // url: doc.metadata.source, - // title: doc.metadata.title, - // })); - // } - - // if (Array.isArray(streamedResponse?.streamed_output)) { - // accumulatedMessage = streamedResponse.streamed_output.join(""); - // } - // const parsedResult = marked.parse(accumulatedMessage); - - // setMessages((prevMessages) => { - // let newMessages = [...prevMessages]; - // if ( - // messageIndex === null || - // newMessages[messageIndex] === undefined - // ) { - // messageIndex = newMessages.length; - // newMessages.push({ - // id: Math.random().toString(), - // content: parsedResult.trim(), - // runId: runId, - // sources: sources, - 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May 2024 14:44:36 -0700 Subject: [PATCH 21/81] rename --- backend/{graph_chain.py => graph.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename backend/{graph_chain.py => graph.py} (100%) diff --git a/backend/graph_chain.py b/backend/graph.py similarity index 100% rename from backend/graph_chain.py rename to backend/graph.py From 9a61b326d2d6618814442075ff015081078d25c3 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 14:44:47 -0700 Subject: [PATCH 22/81] bump langgraph --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 14fcd05c6..a03b03e42 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ langchain-google-genai = ">=1.0.5,<2.0.0" langchain-anthropic = "^0.1.13" langchain-fireworks = "^0.1.3" langserve = {extras = ["server"], version = "^0.2.0"} -langgraph = "^0.0.54" +langgraph = "^0.0.55" fastapi = "^0.103.1" pydantic = "1.10" uvicorn = "^0.23.2" From 8cd20fd9dbccc66a54b42acdc21596777cc74df0 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:04:46 -0700 Subject: [PATCH 23/81] switch to published langgraph js sdk --- frontend/app/components/ChatWindow.tsx | 4 ++-- frontend/package.json | 2 +- frontend/yarn.lock | 19 ++++++++++--------- 3 files changed, 13 insertions(+), 12 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 28263d84d..62fc91fd0 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -24,7 +24,7 @@ import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; import { Source } from "./SourceBubble"; import { apiBaseUrl } from "../utils/constants"; -import { Client } from "langgraph-sdk" +import { Client } from "@langchain/langgraph-sdk" import { Document } from "@langchain/core/documents" const MODEL_TYPES = [ @@ -142,7 +142,7 @@ export function ChatWindow() { marked.setOptions({ renderer }); try { const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = client.runs.stream( + const streamResponse = await client.runs.stream( threadId, assistantId, { diff --git a/frontend/package.json b/frontend/package.json index 38596aa9f..b94caa8da 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -29,7 +29,7 @@ "framer-motion": "^10.16.4", "graphql": "^16.8.1", "highlight.js": "^11.8.0", - "langgraph-sdk": "/Users/vadymbarda/development/langgraph-api/sdk/js/langgraph-sdk-0.0.1.tgz", + "@langchain/langgraph-sdk": "0.0.1-rc.0", "langsmith": "^0.0.41", "marked": "^7.0.2", "next": "13.5.4", diff --git a/frontend/yarn.lock b/frontend/yarn.lock index 3c9949098..d1056cdea 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1108,6 +1108,16 @@ zod "^3.22.4" zod-to-json-schema "^3.22.3" +"@langchain/langgraph-sdk@0.0.1-rc.0": + version "0.0.1-rc.0" + resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.0.tgz#14292e20d50f05660466a24381f239c85e89e919" + integrity sha512-zst3C3ZVeAZlBkIcbIfZ2GquzEuU8lz0axzPD7QMRPJ77a8Kgp8VN7pnIQcgg5lul9hKlm+UKdUKSvc/RqzUHg== + dependencies: + eventsource-parser "^1.1.2" + p-queue "^6.6.2" + p-retry "4" + uuid "^9.0.0" + "@next/env@13.5.4": version "13.5.4" resolved "https://registry.yarnpkg.com/@next/env/-/env-13.5.4.tgz#777c3af16de2cf2f611b6c8126910062d13d222c" @@ -3070,15 +3080,6 @@ keyv@^4.5.3: dependencies: json-buffer "3.0.1" -"langgraph-sdk@file:../../langgraph-api/sdk/js/langgraph-sdk-0.0.1.tgz": - version "0.0.1" - resolved "file:../../langgraph-api/sdk/js/langgraph-sdk-0.0.1.tgz#23fc9323010028854e4374deaae34ae38adbad7f" - dependencies: - eventsource-parser "^1.1.2" - p-queue "^6.6.2" - p-retry "4" - uuid "^9.0.0" - langsmith@^0.0.41: version "0.0.41" resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.0.41.tgz#3cf5dc0b320748d8dfa65bcbec4a776d745b0003" From db1707910d86dac66d2544a18161f0073448a676 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:13:41 -0700 Subject: [PATCH 24/81] update makefile --- Makefile | 2 +- langgraph.json | 2 +- pyproject.toml | 1 + 3 files changed, 3 insertions(+), 2 deletions(-) diff --git a/Makefile b/Makefile index ca0a2939e..3f0cd5799 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,6 @@ .PHONY: start start: - poetry run uvicorn --app-dir=backend main:app --reload --port 8080 + langgraph up --watch .PHONY: format format: diff --git a/langgraph.json b/langgraph.json index fee42701a..43df4cd39 100644 --- a/langgraph.json +++ b/langgraph.json @@ -1,7 +1,7 @@ { "dependencies": ["."], "graphs": { - "chat": "./backend/graph_chain.py:graph" + "chat": "./backend/graph.py:graph" }, "env": ".env" } \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index a03b03e42..8782a6e23 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,6 +18,7 @@ langchain-anthropic = "^0.1.13" langchain-fireworks = "^0.1.3" langserve = {extras = ["server"], version = "^0.2.0"} langgraph = "^0.0.55" +langgraph-cli= ">=0.1.21,<0.2.0" fastapi = "^0.103.1" pydantic = "1.10" uvicorn = "^0.23.2" From 2a7438841edcd0d9e84b3d1e40db8c458d32f388 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:13:57 -0700 Subject: [PATCH 25/81] remove old chain --- backend/chain.py | 278 ----------------------------------------------- backend/main.py | 11 +- 2 files changed, 1 insertion(+), 288 deletions(-) delete mode 100644 backend/chain.py diff --git a/backend/chain.py b/backend/chain.py deleted file mode 100644 index 4293b0bcb..000000000 --- a/backend/chain.py +++ /dev/null @@ -1,278 +0,0 @@ -import os -from operator import itemgetter -from typing import Dict, List, Optional, Sequence - -import weaviate -from constants import WEAVIATE_DOCS_INDEX_NAME -from fastapi import FastAPI -from fastapi.middleware.cors import CORSMiddleware -from ingest import get_embeddings_model -from langchain_anthropic import ChatAnthropic -from langchain_community.chat_models import ChatCohere -from langchain_community.vectorstores import Weaviate -from langchain_core.documents import Document -from langchain_core.language_models import LanguageModelLike -from langchain_core.messages import AIMessage, HumanMessage -from langchain_core.output_parsers import StrOutputParser -from langchain_core.prompts import ( - ChatPromptTemplate, - MessagesPlaceholder, - PromptTemplate, -) -from langchain_core.pydantic_v1 import BaseModel -from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import ( - ConfigurableField, - Runnable, - RunnableBranch, - RunnableLambda, - RunnablePassthrough, - RunnableSequence, - chain, -) -from langchain_fireworks import ChatFireworks -from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_openai import ChatOpenAI -from langsmith import Client - -RESPONSE_TEMPLATE = """\ -You are an expert programmer and problem-solver, tasked with answering any question \ -about Langchain. - -Generate a comprehensive and informative answer of 80 words or less for the \ -given question based solely on the provided search results (URL and content). You must \ -only use information from the provided search results. Use an unbiased and \ -journalistic tone. Combine search results together into a coherent answer. Do not \ -repeat text. Cite search results using [${{number}}] notation. Only cite the most \ -relevant results that answer the question accurately. Place these citations at the end \ -of the sentence or paragraph that reference them - do not put them all at the end. If \ -different results refer to different entities within the same name, write separate \ -answers for each entity. - -You should use bullet points in your answer for readability. Put citations where they apply -rather than putting them all at the end. - -If there is nothing in the context relevant to the question at hand, just say "Hmm, \ -I'm not sure." Don't try to make up an answer. - -Anything between the following `context` html blocks is retrieved from a knowledge \ -bank, not part of the conversation with the user. - - - {context} - - -REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \ -not sure." Don't try to make up an answer. Anything between the preceding 'context' \ -html blocks is retrieved from a knowledge bank, not part of the conversation with the \ -user.\ -""" - -COHERE_RESPONSE_TEMPLATE = """\ -You are an expert programmer and problem-solver, tasked with answering any question \ -about Langchain. - -Generate a comprehensive and informative answer of 80 words or less for the \ -given question based solely on the provided search results (URL and content). You must \ -only use information from the provided search results. Use an unbiased and \ -journalistic tone. Combine search results together into a coherent answer. Do not \ -repeat text. Cite search results using [${{number}}] notation. Only cite the most \ -relevant results that answer the question accurately. Place these citations at the end \ -of the sentence or paragraph that reference them - do not put them all at the end. If \ -different results refer to different entities within the same name, write separate \ -answers for each entity. - -You should use bullet points in your answer for readability. Put citations where they apply -rather than putting them all at the end. - -If there is nothing in the context relevant to the question at hand, just say "Hmm, \ -I'm not sure." Don't try to make up an answer. - -REMEMBER: If there is no relevant information within the context, just say "Hmm, I'm \ -not sure." Don't try to make up an answer. Anything between the preceding 'context' \ -html blocks is retrieved from a knowledge bank, not part of the conversation with the \ -user.\ -""" - -REPHRASE_TEMPLATE = """\ -Given the following conversation and a follow up question, rephrase the follow up \ -question to be a standalone question. - -Chat History: -{chat_history} -Follow Up Input: {question} -Standalone Question:""" - - -client = Client() - -app = FastAPI() -app.add_middleware( - CORSMiddleware, - allow_origins=["*"], - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], - expose_headers=["*"], -) - - -WEAVIATE_URL = os.environ["WEAVIATE_URL"] -WEAVIATE_API_KEY = os.environ["WEAVIATE_API_KEY"] - - -class ChatRequest(BaseModel): - question: str - chat_history: Optional[List[Dict[str, str]]] - - -def get_retriever() -> BaseRetriever: - weaviate_client = weaviate.Client( - url=WEAVIATE_URL, - auth_client_secret=weaviate.AuthApiKey(api_key=WEAVIATE_API_KEY), - ) - weaviate_client = Weaviate( - client=weaviate_client, - index_name=WEAVIATE_DOCS_INDEX_NAME, - text_key="text", - embedding=get_embeddings_model(), - by_text=False, - attributes=["source", "title"], - ) - return weaviate_client.as_retriever(search_kwargs=dict(k=6)) - - -def create_retriever_chain( - llm: LanguageModelLike, retriever: BaseRetriever -) -> Runnable: - CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE) - condense_question_chain = ( - CONDENSE_QUESTION_PROMPT | llm | StrOutputParser() - ).with_config( - run_name="CondenseQuestion", - ) - conversation_chain = condense_question_chain | retriever - return RunnableBranch( - ( - RunnableLambda(lambda x: bool(x.get("chat_history"))).with_config( - run_name="HasChatHistoryCheck" - ), - conversation_chain.with_config(run_name="RetrievalChainWithHistory"), - ), - ( - RunnableLambda(itemgetter("question")).with_config( - run_name="Itemgetter:question" - ) - | retriever - ).with_config(run_name="RetrievalChainWithNoHistory"), - ).with_config(run_name="RouteDependingOnChatHistory") - - -def format_docs(docs: Sequence[Document]) -> str: - formatted_docs = [] - for i, doc in enumerate(docs): - doc_string = f"{doc.page_content}" - formatted_docs.append(doc_string) - return "\n".join(formatted_docs) - - -def serialize_history(request: ChatRequest): - chat_history = request["chat_history"] or [] - converted_chat_history = [] - for message in chat_history: - if message.get("human") is not None: - converted_chat_history.append(HumanMessage(content=message["human"])) - if message.get("ai") is not None: - converted_chat_history.append(AIMessage(content=message["ai"])) - return converted_chat_history - - -def create_chain(llm: LanguageModelLike, retriever: BaseRetriever) -> Runnable: - retriever_chain = create_retriever_chain( - llm, - retriever, - ).with_config(run_name="FindDocs") - context = ( - RunnablePassthrough.assign(docs=retriever_chain) - .assign(context=lambda x: format_docs(x["docs"])) - .with_config(run_name="RetrieveDocs") - ) - prompt = ChatPromptTemplate.from_messages( - [ - ("system", RESPONSE_TEMPLATE), - MessagesPlaceholder(variable_name="chat_history"), - ("human", "{question}"), - ] - ) - default_response_synthesizer = prompt | llm - - cohere_prompt = ChatPromptTemplate.from_messages( - [ - ("system", COHERE_RESPONSE_TEMPLATE), - MessagesPlaceholder(variable_name="chat_history"), - ("human", "{question}"), - ] - ) - - @chain - def cohere_response_synthesizer(input: dict) -> RunnableSequence: - return cohere_prompt | llm.bind(source_documents=input["docs"]) - - response_synthesizer = ( - default_response_synthesizer.configurable_alternatives( - ConfigurableField("llm"), - default_key="openai_gpt_3_5_turbo", - anthropic_claude_3_haiku=default_response_synthesizer, - fireworks_mixtral=default_response_synthesizer, - google_gemini_pro=default_response_synthesizer, - cohere_command=cohere_response_synthesizer, - ) - | StrOutputParser() - ).with_config(run_name="GenerateResponse") - return ( - RunnablePassthrough.assign(chat_history=serialize_history) - | context - | response_synthesizer - ) - - -gpt_3_5 = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0, streaming=True) -claude_3_haiku = ChatAnthropic( - model="claude-3-haiku-20240307", - temperature=0, - max_tokens=4096, - anthropic_api_key=os.environ.get("ANTHROPIC_API_KEY", "not_provided"), -) -fireworks_mixtral = ChatFireworks( - model="accounts/fireworks/models/mixtral-8x7b-instruct", - temperature=0, - max_tokens=16384, - fireworks_api_key=os.environ.get("FIREWORKS_API_KEY", "not_provided"), -) -gemini_pro = ChatGoogleGenerativeAI( - model="gemini-pro", - temperature=0, - max_tokens=16384, - convert_system_message_to_human=True, - google_api_key=os.environ.get("GOOGLE_API_KEY", "not_provided"), -) -cohere_command = ChatCohere( - model="command", - temperature=0, - cohere_api_key=os.environ.get("COHERE_API_KEY", "not_provided"), -) -llm = gpt_3_5.configurable_alternatives( - # This gives this field an id - # When configuring the end runnable, we can then use this id to configure this field - ConfigurableField(id="llm"), - default_key="openai_gpt_3_5_turbo", - anthropic_claude_3_haiku=claude_3_haiku, - fireworks_mixtral=fireworks_mixtral, - google_gemini_pro=gemini_pro, - cohere_command=cohere_command, -).with_fallbacks( - [gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command] -) - -retriever = get_retriever() -answer_chain = create_chain(llm, retriever) diff --git a/backend/main.py b/backend/main.py index f25bd41b6..57cefd364 100644 --- a/backend/main.py +++ b/backend/main.py @@ -1,10 +1,10 @@ """Main entrypoint for the app.""" +# TODO (VB): delete this completely & test feedback + tracing in langgraph deploy import asyncio from typing import Optional, Union from uuid import UUID import langsmith -from chain import ChatRequest, answer_chain from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from langserve import add_routes @@ -24,15 +24,6 @@ ) -add_routes( - app, - answer_chain, - path="/chat", - input_type=ChatRequest, - config_keys=["metadata", "configurable", "tags"], -) - - class SendFeedbackBody(BaseModel): run_id: UUID key: str = "user_score" From 60a33152aa7dc9f3408f97547e6991975a511740 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:24:28 -0700 Subject: [PATCH 26/81] simplify code further --- backend/graph.py | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/backend/graph.py b/backend/graph.py index bbd014dde..1c68a2b3c 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -12,7 +12,6 @@ PromptTemplate, ) from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import ConfigurableField from langchain_openai import ChatOpenAI from langchain_cohere import ChatCohere from langchain_anthropic import ChatAnthropic @@ -137,18 +136,15 @@ def get_model(model_name: str) -> LanguageModelLike: temperature=0, cohere_api_key=os.environ.get("COHERE_API_KEY", "not_provided"), ) - model_map = { + llm: LanguageModelLike = { + OPENAI_MODEL_KEY: gpt_3_5, ANTHROPIC_MODEL_KEY: claude_3_haiku, FIREWORKS_MIXTRAL_MODEL_KEY: fireworks_mixtral, GOOGLE_MODEL_KEY: gemini_pro, COHERE_MODEL_KEY: cohere_command, - } - llm = gpt_3_5.configurable_alternatives( - ConfigurableField(id="llm"), - default_key=OPENAI_MODEL_KEY, - **model_map - ).with_fallbacks([gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command]) - return llm.with_config({"configurable": {"llm": model_name}}) + }[model_name] + llm = llm.with_fallbacks([gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command]) + return llm def get_retriever() -> BaseRetriever: From 4b403f439e901b459b7a5f9a27051f36d1ddee99 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:25:42 -0700 Subject: [PATCH 27/81] lint --- backend/graph.py | 74 ++++++++++++++++++++++++++++-------------------- backend/main.py | 1 - 2 files changed, 43 insertions(+), 32 deletions(-) diff --git a/backend/graph.py b/backend/graph.py index 1c68a2b3c..ed99d428f 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -2,9 +2,17 @@ from typing import Annotated, Literal, Sequence, TypedDict import weaviate +from langchain_anthropic import ChatAnthropic +from langchain_cohere import ChatCohere +from langchain_community.vectorstores import Weaviate from langchain_core.documents import Document from langchain_core.language_models import LanguageModelLike -from langchain_core.messages import BaseMessage, AIMessage, HumanMessage, convert_to_messages +from langchain_core.messages import ( + AIMessage, + BaseMessage, + HumanMessage, + convert_to_messages, +) from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ( ChatPromptTemplate, @@ -12,17 +20,13 @@ PromptTemplate, ) from langchain_core.retrievers import BaseRetriever -from langchain_openai import ChatOpenAI -from langchain_cohere import ChatCohere -from langchain_anthropic import ChatAnthropic from langchain_fireworks import ChatFireworks from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_community.vectorstores import Weaviate -from langgraph.graph import StateGraph, END, add_messages +from langchain_openai import ChatOpenAI +from langgraph.graph import END, StateGraph, add_messages -from backend.ingest import get_embeddings_model from backend.constants import WEAVIATE_DOCS_INDEX_NAME - +from backend.ingest import get_embeddings_model WEAVIATE_URL = os.environ["WEAVIATE_URL"] WEAVIATE_API_KEY = os.environ["WEAVIATE_API_KEY"] @@ -143,7 +147,9 @@ def get_model(model_name: str) -> LanguageModelLike: GOOGLE_MODEL_KEY: gemini_pro, COHERE_MODEL_KEY: cohere_command, }[model_name] - llm = llm.with_fallbacks([gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command]) + llm = llm.with_fallbacks( + [gpt_3_5, claude_3_haiku, fireworks_mixtral, gemini_pro, cohere_command] + ) return llm @@ -176,11 +182,7 @@ def retrieve_documents(state: AgentState): messages = convert_to_messages(state["messages"]) query = messages[-1].content relevant_documents = retriever.get_relevant_documents(query) - return { - "query": query, - "documents": relevant_documents, - "messages": [] - } + return {"query": query, "documents": relevant_documents, "messages": []} def retrieve_documents_with_chat_history(state: AgentState, config): @@ -189,22 +191,24 @@ def retrieve_documents_with_chat_history(state: AgentState, config): model = get_model(model_name).with_config(tags=["nostream"]) CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(REPHRASE_TEMPLATE) - condense_question_chain = (CONDENSE_QUESTION_PROMPT | model | StrOutputParser()).with_config( + condense_question_chain = ( + CONDENSE_QUESTION_PROMPT | model | StrOutputParser() + ).with_config( run_name="CondenseQuestion", ) messages = convert_to_messages(state["messages"]) query = messages[-1].content retriever_with_condensed_question = condense_question_chain | retriever - relevant_documents = retriever_with_condensed_question.invoke({"question": query, "chat_history": get_chat_history(messages)}) - return { - "query": query, - "documents": relevant_documents, - "messages": [] - } + relevant_documents = retriever_with_condensed_question.invoke( + {"question": query, "chat_history": get_chat_history(messages)} + ) + return {"query": query, "documents": relevant_documents, "messages": []} -def route_to_retriever(state: AgentState) -> Literal["retriever", "retriever_with_chat_history"]: +def route_to_retriever( + state: AgentState, +) -> Literal["retriever", "retriever_with_chat_history"]: if len(state["messages"]) == 1: return "retriever" else: @@ -219,7 +223,9 @@ def get_chat_history(messages: Sequence[BaseMessage]) -> Sequence[BaseMessage]: return chat_history -def synthesize_response(state: AgentState, model: LanguageModelLike, prompt_template: str): +def synthesize_response( + state: AgentState, model: LanguageModelLike, prompt_template: str +): prompt = ChatPromptTemplate.from_messages( [ ("system", prompt_template), @@ -228,11 +234,13 @@ def synthesize_response(state: AgentState, model: LanguageModelLike, prompt_temp ] ) response_synthesizer = prompt | model - synthesized_response = response_synthesizer.invoke({ - "question": state["query"], - "context": format_docs(state["documents"]), - "chat_history": get_chat_history(convert_to_messages(state["messages"])) - }) + synthesized_response = response_synthesizer.invoke( + { + "question": state["query"], + "context": format_docs(state["documents"]), + "chat_history": get_chat_history(convert_to_messages(state["messages"])), + } + ) return { **state, "messages": [synthesized_response], @@ -250,7 +258,9 @@ def synthesize_response_cohere(state: AgentState): return synthesize_response(state, model, COHERE_RESPONSE_TEMPLATE) -def route_to_response_synthesizer(state: AgentState, config) -> Literal["response_synthesizer", "response_synthesizer_cohere"]: +def route_to_response_synthesizer( + state: AgentState, config +) -> Literal["response_synthesizer", "response_synthesizer_cohere"]: model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) if model_name == COHERE_MODEL_KEY: return "response_synthesizer_cohere" @@ -271,10 +281,12 @@ def route_to_response_synthesizer(state: AgentState, config) -> Literal["respons # connect retrievers and response synthesizers workflow.add_conditional_edges("retriever", route_to_response_synthesizer) -workflow.add_conditional_edges("retriever_with_chat_history", route_to_response_synthesizer) +workflow.add_conditional_edges( + "retriever_with_chat_history", route_to_response_synthesizer +) # connect synthesizers to terminal node workflow.add_edge("response_synthesizer", END) workflow.add_edge("response_synthesizer_cohere", END) -graph = workflow.compile() \ No newline at end of file +graph = workflow.compile() diff --git a/backend/main.py b/backend/main.py index 57cefd364..77fc35a2d 100644 --- a/backend/main.py +++ b/backend/main.py @@ -7,7 +7,6 @@ import langsmith from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -from langserve import add_routes from langsmith import Client from pydantic import BaseModel From 99fed5d25efcadef3b954aeab1e3af3078a1874b Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:43:27 -0700 Subject: [PATCH 28/81] prettier --- frontend/app/components/ChatWindow.tsx | 90 ++++++++++++++------------ 1 file changed, 49 insertions(+), 41 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 62fc91fd0..2dff9222d 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -24,8 +24,8 @@ import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; import { Source } from "./SourceBubble"; import { apiBaseUrl } from "../utils/constants"; -import { Client } from "@langchain/langgraph-sdk" -import { Document } from "@langchain/core/documents" +import { Client } from "@langchain/langgraph-sdk"; +import { Document } from "@langchain/core/documents"; const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -39,17 +39,23 @@ const defaultLlmValue = MODEL_TYPES[Math.floor(Math.random() * MODEL_TYPES.length)]; const getThreadId = async (client: Client) => { - const response = await client.threads.create({ metadata: null }) - return response["thread_id"] -} + const response = await client.threads.create({ metadata: null }); + return response["thread_id"]; +}; const getAssistantId = async (client: Client) => { - const response = await client.assistants.search({ metadata: null, offset: 0, limit: 10 }) + const response = await client.assistants.search({ + metadata: null, + offset: 0, + limit: 10, + }); if (response.length !== 1) { - throw Error(`Expected exactly one assistant, got ${response.length} instead`) + throw Error( + `Expected exactly one assistant, got ${response.length} instead`, + ); } - return response[0]["assistant_id"] -} + return response[0]["assistant_id"]; +}; export function mergeMessagesById( left: Message[] | Record | null | undefined, @@ -84,14 +90,14 @@ export function ChatWindow() { const [threadId, setThreadId] = useState(""); const [assistantId, setAssistantId] = useState(""); - const client = new Client({ apiUrl: apiBaseUrl }) + const client = new Client({ apiUrl: apiBaseUrl }); const setLanggraphInfo = async () => { const assistantId = await getAssistantId(client); - setAssistantId(assistantId) + setAssistantId(assistantId); const threadId = await getThreadId(client); setThreadId(threadId); - } + }; useEffect(() => { setLlm(searchParams.get("llm") ?? defaultLlmValue); @@ -109,11 +115,12 @@ export function ChatWindow() { const messageValue = message ?? input; if (messageValue === "") return; setInput(""); - const formattedMessage: Message = { id: Math.random().toString(), content: messageValue, type: "human" } - setMessages((prevMessages) => [ - ...prevMessages, - formattedMessage - ]); + const formattedMessage: Message = { + id: Math.random().toString(), + content: messageValue, + type: "human", + }; + setMessages((prevMessages) => [...prevMessages, formattedMessage]); setIsLoading(true); let runId: string | undefined = undefined; @@ -142,37 +149,38 @@ export function ChatWindow() { marked.setOptions({ renderer }); try { const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = await client.runs.stream( - threadId, - assistantId, - { - input: { - "messages": [formattedMessage], - "assistant_id": assistantId, - }, - config: { - "configurable": { "model_name": llm }, - tags: ["model:" + llmDisplayName], - recursion_limit: 10 - }, - // @ts-ignore - streamMode: ["messages", "values"], - } - ) + const streamResponse = await client.runs.stream(threadId, assistantId, { + input: { + messages: [formattedMessage], + assistant_id: assistantId, + }, + config: { + configurable: { model_name: llm }, + tags: ["model:" + llmDisplayName], + recursion_limit: 10, + }, + // @ts-ignore + streamMode: ["messages", "values"], + }); for await (const chunk of streamResponse) { if (chunk.event === "metadata") { - runId = (chunk.data as Record)["run_id"] + runId = (chunk.data as Record)["run_id"]; } else if (chunk.event === "messages/partial") { const chunkMessages = chunk.data as Message[]; - setMessages(prevMessages => mergeMessagesById(prevMessages, chunkMessages.map(message => ({...message, sources })))) + setMessages((prevMessages) => + mergeMessagesById( + prevMessages, + chunkMessages.map((message) => ({ ...message, sources })), + ), + ); } else if (chunk.event === "values") { - const data = chunk.data as Record - const documents = (data["documents"] ?? []) as Array - sources = documents.map(doc => ({ + const data = chunk.data as Record; + const documents = (data["documents"] ?? []) as Array; + sources = documents.map((doc) => ({ url: doc.metadata.source, - title: doc.metadata.title - })) + title: doc.metadata.title, + })); } } setIsLoading(false); From 512d6461300097f22f05ad14aa7fed0a95c6f95c Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 15:45:10 -0700 Subject: [PATCH 29/81] update lock file --- poetry.lock | 186 ++++++++++++++++++++++++++++------------------------ 1 file changed, 100 insertions(+), 86 deletions(-) diff --git a/poetry.lock b/poetry.lock index fc27a10e8..824f865be 100644 --- a/poetry.lock +++ b/poetry.lock @@ -234,17 +234,17 @@ lxml = ["lxml"] [[package]] name = "boto3" -version = "1.34.110" +version = "1.34.111" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.110-py3-none-any.whl", hash = "sha256:2fc871b4a5090716c7a71af52c462e539529227f4d4888fd04896d5028f9cedc"}, - {file = "boto3-1.34.110.tar.gz", hash = "sha256:83ffe2273da7bdfdb480d85b0705f04e95bd110e9741f23328b7c76c03e6d53c"}, + {file = "boto3-1.34.111-py3-none-any.whl", hash = "sha256:d6a8e77db316c6e1d9a25f77c795ed1e0a8bc621f863ce26d04b2225d30f2dce"}, + {file = "boto3-1.34.111.tar.gz", hash = "sha256:8f18d212b9199dbbd9d596dd5929685b583ac938c60cceeac2e045c0c5d10323"}, ] [package.dependencies] -botocore = ">=1.34.110,<1.35.0" +botocore = ">=1.34.111,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -253,13 +253,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.110" +version = "1.34.111" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.110-py3-none-any.whl", hash = "sha256:1edf3a825ec0a5edf238b2d42ad23305de11d5a71bb27d6f9a58b7e8862df1b6"}, - {file = "botocore-1.34.110.tar.gz", hash = "sha256:b2c98c40ecf0b1facb9e61ceb7dfa28e61ae2456490554a16c8dbf99f20d6a18"}, + {file = 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lock-version = "2.0" python-versions = "^3.10" -content-hash = "9e4e2c1839a1c4b0082ac1e88f32269037718c3d460d4d556384819369a68222" +content-hash = "b31e864a2e7d74dbba466598de63f1b5e44f9349fe061015b73b1890eef12dd6" From d1662229845df0d0bfe19231b405dba58db92d1c Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 16:44:24 -0700 Subject: [PATCH 30/81] code review --- backend/graph.py | 26 ++++++++++++-------------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/backend/graph.py b/backend/graph.py index ed99d428f..ddd8b42fb 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -16,9 +16,9 @@ from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ( ChatPromptTemplate, - MessagesPlaceholder, PromptTemplate, ) +from langchain_core.runnables import RunnableConfig from langchain_core.retrievers import BaseRetriever from langchain_fireworks import ChatFireworks from langchain_google_genai import ChatGoogleGenerativeAI @@ -28,9 +28,6 @@ from backend.constants import WEAVIATE_DOCS_INDEX_NAME from backend.ingest import get_embeddings_model -WEAVIATE_URL = os.environ["WEAVIATE_URL"] -WEAVIATE_API_KEY = os.environ["WEAVIATE_API_KEY"] - RESPONSE_TEMPLATE = """\ You are an expert programmer and problem-solver, tasked with answering any question \ @@ -155,8 +152,8 @@ def get_model(model_name: str) -> LanguageModelLike: def get_retriever() -> BaseRetriever: weaviate_client = weaviate.Client( - url=WEAVIATE_URL, - auth_client_secret=weaviate.AuthApiKey(api_key=WEAVIATE_API_KEY), + url=os.environ["WEAVIATE_URL"], + auth_client_secret=weaviate.AuthApiKey(api_key=os.environ.get("WEAVIATE_API_KEY", "not_provided")), ) weaviate_client = Weaviate( client=weaviate_client, @@ -177,7 +174,7 @@ def format_docs(docs: Sequence[Document]) -> str: return "\n".join(formatted_docs) -def retrieve_documents(state: AgentState): +def retrieve_documents(state: AgentState) -> AgentState: retriever = get_retriever() messages = convert_to_messages(state["messages"]) query = messages[-1].content @@ -185,7 +182,7 @@ def retrieve_documents(state: AgentState): return {"query": query, "documents": relevant_documents, "messages": []} -def retrieve_documents_with_chat_history(state: AgentState, config): +def retrieve_documents_with_chat_history(state: AgentState, config: RunnableConfig) -> AgentState: model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) retriever = get_retriever() model = get_model(model_name).with_config(tags=["nostream"]) @@ -209,6 +206,8 @@ def retrieve_documents_with_chat_history(state: AgentState, config): def route_to_retriever( state: AgentState, ) -> Literal["retriever", "retriever_with_chat_history"]: + # at this point in the graph execution there is exactly one (i.e. first) message from the user, + # so use basic retriever without chat history if len(state["messages"]) == 1: return "retriever" else: @@ -225,11 +224,11 @@ def get_chat_history(messages: Sequence[BaseMessage]) -> Sequence[BaseMessage]: def synthesize_response( state: AgentState, model: LanguageModelLike, prompt_template: str -): +) -> AgentState: prompt = ChatPromptTemplate.from_messages( [ ("system", prompt_template), - MessagesPlaceholder(variable_name="chat_history"), + ("placeholder", "{chat_history}"), ("human", "{question}"), ] ) @@ -242,24 +241,23 @@ def synthesize_response( } ) return { - **state, "messages": [synthesized_response], } -def synthesize_response_default(state: AgentState, config): +def synthesize_response_default(state: AgentState, config: RunnableConfig) -> AgentState: model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) model = get_model(model_name) return synthesize_response(state, model, RESPONSE_TEMPLATE) -def synthesize_response_cohere(state: AgentState): +def synthesize_response_cohere(state: AgentState) -> AgentState: model = get_model(COHERE_MODEL_KEY).bind(documents=state["documents"]) return synthesize_response(state, model, COHERE_RESPONSE_TEMPLATE) def route_to_response_synthesizer( - state: AgentState, config + state: AgentState, config: RunnableConfig ) -> Literal["response_synthesizer", "response_synthesizer_cohere"]: model_name = config.get("configurable", {}).get("model_name", OPENAI_MODEL_KEY) if model_name == COHERE_MODEL_KEY: From 1f6f182ae7de2e45b56e5dc12aea211a0e791ee4 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 22 May 2024 20:16:27 -0700 Subject: [PATCH 31/81] bump langgraph-sdk js --- frontend/app/components/ChatWindow.tsx | 2 -- frontend/package.json | 2 +- frontend/yarn.lock | 8 ++++---- 3 files changed, 5 insertions(+), 7 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 2dff9222d..99ba5a6d0 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -157,9 +157,7 @@ export function ChatWindow() { config: { configurable: { model_name: llm }, tags: ["model:" + llmDisplayName], - recursion_limit: 10, }, - // @ts-ignore streamMode: ["messages", "values"], }); diff --git a/frontend/package.json b/frontend/package.json index b94caa8da..8de65e126 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -29,7 +29,7 @@ "framer-motion": "^10.16.4", "graphql": "^16.8.1", "highlight.js": "^11.8.0", - "@langchain/langgraph-sdk": "0.0.1-rc.0", + "@langchain/langgraph-sdk": "0.0.1-rc.1", "langsmith": "^0.0.41", "marked": "^7.0.2", "next": "13.5.4", diff --git a/frontend/yarn.lock b/frontend/yarn.lock index d1056cdea..cfecc9039 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1108,10 +1108,10 @@ zod "^3.22.4" zod-to-json-schema "^3.22.3" -"@langchain/langgraph-sdk@0.0.1-rc.0": - version "0.0.1-rc.0" - resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.0.tgz#14292e20d50f05660466a24381f239c85e89e919" - integrity sha512-zst3C3ZVeAZlBkIcbIfZ2GquzEuU8lz0axzPD7QMRPJ77a8Kgp8VN7pnIQcgg5lul9hKlm+UKdUKSvc/RqzUHg== +"@langchain/langgraph-sdk@0.0.1-rc.1": + version "0.0.1-rc.1" + resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.1.tgz#c1b092c8e81cab820d92328a4593d68d4ac0d99a" + integrity sha512-2FwOZpJLZXQy092BHfEocvMgTOWcc9puk+HoNqiIotisia77nbjA63SKqJnQGM1DjPzCfdK7sijoiEeaGMYhYg== dependencies: eventsource-parser "^1.1.2" p-queue "^6.6.2" From d7059fe3f7ecb25bc96dfbb4c57c3c53969e8441 Mon Sep 17 00:00:00 2001 From: vbarda Date: Thu, 23 May 2024 12:14:19 -0700 Subject: [PATCH 32/81] remove unnecessary param --- frontend/app/components/ChatWindow.tsx | 1 - 1 file changed, 1 deletion(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 99ba5a6d0..03018a735 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -152,7 +152,6 @@ export function ChatWindow() { const streamResponse = await client.runs.stream(threadId, assistantId, { input: { messages: [formattedMessage], - assistant_id: assistantId, }, config: { configurable: { model_name: llm }, From b04a7dd8a6f9c5f45b888ae57d00e8f13d22faf6 Mon Sep 17 00:00:00 2001 From: vbarda Date: Thu, 23 May 2024 13:14:12 -0700 Subject: [PATCH 33/81] add useThread hook --- frontend/app/hooks/useThread.ts | 31 +++++++++++++ frontend/app/page.tsx | 16 ++++--- frontend/package.json | 3 +- frontend/yarn.lock | 80 ++++++++++++++++++++++++++++++++- 4 files changed, 121 insertions(+), 9 deletions(-) create mode 100644 frontend/app/hooks/useThread.ts diff --git a/frontend/app/hooks/useThread.ts b/frontend/app/hooks/useThread.ts new file mode 100644 index 000000000..9d1ae00d6 --- /dev/null +++ b/frontend/app/hooks/useThread.ts @@ -0,0 +1,31 @@ +import { useQuery, useQueryClient } from "react-query"; +import { useSearchParams } from "next/navigation" +import { Client } from "@langchain/langgraph-sdk" + +export function useThread() { + // Extract route parameters + const searchParams = useSearchParams(); + const threadId = searchParams.get("thread_id"); + const queryClient = useQueryClient(); + const langgraphClient = new Client(); + + // React Query to fetch chat details if chatId is present + const { data: currentChat, isLoading } = useQuery( + ["thread", threadId], + async () => await langgraphClient.threads.get(threadId as string), + { + enabled: !!threadId, + }, + ); + + const invalidateChat = (threadId: string) => { + queryClient.invalidateQueries(["thread", threadId]); + }; + + // Return both loading states, the chat data, and the assistant configuration + return { + currentChat, + isLoading, + invalidateChat, + }; +} \ No newline at end of file diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx index 80498ee58..26ffe88cb 100644 --- a/frontend/app/page.tsx +++ b/frontend/app/page.tsx @@ -1,15 +1,19 @@ "use client"; -import { ChatWindow } from "./components/ChatWindow"; import { ToastContainer } from "react-toastify"; - import { ChakraProvider } from "@chakra-ui/react"; +import { QueryClient, QueryClientProvider } from "react-query"; + +import { ChatWindow } from "./components/ChatWindow"; export default function Home() { + const queryClient = new QueryClient() return ( - - - - + + + + + + ); } diff --git a/frontend/package.json b/frontend/package.json index 8de65e126..f794253f1 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -16,6 +16,7 @@ "@emotion/react": "^11.11.1", "@emotion/styled": "^11.11.0", "@langchain/core": "^0.1.27", + "@langchain/langgraph-sdk": "0.0.1-rc.1", "@types/dompurify": "^3.0.5", "@types/marked": "^5.0.1", "@types/node": "20.4.9", @@ -29,13 +30,13 @@ "framer-motion": "^10.16.4", "graphql": "^16.8.1", "highlight.js": "^11.8.0", - "@langchain/langgraph-sdk": "0.0.1-rc.1", "langsmith": "^0.0.41", "marked": "^7.0.2", "next": "13.5.4", "postcss": "8.4.31", "react": "18.2.0", "react-dom": "18.2.0", + "react-query": "^3.39.3", "react-textarea-autosize": "^8.5.3", "react-toastify": "^9.1.3", "tailwindcss": "3.3.3", diff --git a/frontend/yarn.lock b/frontend/yarn.lock index cfecc9039..f02002a7f 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -42,7 +42,7 @@ js-tokens "^4.0.0" picocolors "^1.0.0" -"@babel/runtime@^7.0.0", "@babel/runtime@^7.12.13", "@babel/runtime@^7.12.5", "@babel/runtime@^7.18.3", "@babel/runtime@^7.20.13", "@babel/runtime@^7.23.2": +"@babel/runtime@^7.0.0", "@babel/runtime@^7.12.13", "@babel/runtime@^7.12.5", "@babel/runtime@^7.18.3", "@babel/runtime@^7.20.13", "@babel/runtime@^7.23.2", "@babel/runtime@^7.23.8", "@babel/runtime@^7.5.5", "@babel/runtime@^7.6.2", "@babel/runtime@^7.7.2": version "7.24.5" resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.24.5.tgz#230946857c053a36ccc66e1dd03b17dd0c4ed02c" integrity sha512-Nms86NXrsaeU9vbBJKni6gXiEXZ4CVpYVzEjDH9Sb8vmZ3UljyA1GSOJl/6LGPO8EHLuSF9H+IxNXHPX8QHJ4g== @@ -1624,6 +1624,11 @@ base64-js@^1.5.1: resolved 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sha512-cIAKJXAxGJceNZGTZSBzMxzyOn72cVgPnKx4dc6LRjQgbaJUQqhy5rzL3zbMxkMWsGKkv2hSFkPRMEXfoMZ2Mg== + dependencies: + "@babel/runtime" "^7.7.2" + detect-node "^2.1.0" + js-sha3 "0.8.0" + microseconds "0.2.0" + nano-time "1.0.0" + oblivious-set "1.0.0" + rimraf "3.0.2" + unload "2.2.0" + browserslist@^4.21.5: version "4.23.0" resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.23.0.tgz#8f3acc2bbe73af7213399430890f86c63a5674ab" @@ -1947,6 +1966,11 @@ detect-node-es@^1.1.0: resolved "https://registry.yarnpkg.com/detect-node-es/-/detect-node-es-1.1.0.tgz#163acdf643330caa0b4cd7c21e7ee7755d6fa493" integrity sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ== +detect-node@^2.0.4, detect-node@^2.1.0: + version "2.1.0" + resolved "https://registry.yarnpkg.com/detect-node/-/detect-node-2.1.0.tgz#c9c70775a49c3d03bc2c06d9a73be550f978f8b1" + integrity sha512-T0NIuQpnTvFDATNuHN5roPwSBG83rFsuO+MXXH9/3N1eFbn4wcPjttvjMLEPWJ0RGUYgQE7cGgS3tNxbqCGM7g== + didyoumean@^1.2.2: version "1.2.2" resolved "https://registry.yarnpkg.com/didyoumean/-/didyoumean-1.2.2.tgz#989346ffe9e839b4555ecf5666edea0d3e8ad037" @@ -3017,6 +3041,11 @@ jiti@^1.18.2: resolved "https://registry.yarnpkg.com/jiti/-/jiti-1.21.0.tgz#7c97f8fe045724e136a397f7340475244156105d" integrity sha512-gFqAIbuKyyso/3G2qhiO2OM6shY6EPP/R0+mkDbyspxKazh8BXDC5FiFsUjlczgdNz/vfra0da2y+aHrusLG/Q== +js-sha3@0.8.0: + version "0.8.0" + resolved "https://registry.yarnpkg.com/js-sha3/-/js-sha3-0.8.0.tgz#b9b7a5da73afad7dedd0f8c463954cbde6818840" + integrity sha512-gF1cRrHhIzNfToc802P800N8PpXS+evLLXfsVpowqmAFR9uwbi89WvXg2QspOmXL8QL86J4T1EpFu+yUkwJY3Q== + js-tiktoken@^1.0.12: version "1.0.12" resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.12.tgz#af0f5cf58e5e7318240d050c8413234019424211" @@ -3171,6 +3200,14 @@ marked@^7.0.2: resolved "https://registry.yarnpkg.com/marked/-/marked-7.0.5.tgz#8a9e4e3afb93b58fe9ee7608e67cc154eb15d508" integrity sha512-lwNAFTfXgqpt/XvK17a/8wY9/q6fcSPZT1aP6QW0u74VwaJF/Z9KbRcX23sWE4tODM+AolJNcUtErTkgOeFP/Q== +match-sorter@^6.0.2: + version "6.3.4" + resolved "https://registry.yarnpkg.com/match-sorter/-/match-sorter-6.3.4.tgz#afa779d8e922c81971fbcb4781c7003ace781be7" + integrity sha512-jfZW7cWS5y/1xswZo8VBOdudUiSd9nifYRWphc9M5D/ee4w4AoXLgBEdRbgVaxbMuagBPeUC5y2Hi8DO6o9aDg== + dependencies: + "@babel/runtime" "^7.23.8" + remove-accents "0.5.0" + merge2@^1.3.0, merge2@^1.4.1: version "1.4.1" resolved "https://registry.yarnpkg.com/merge2/-/merge2-1.4.1.tgz#4368892f885e907455a6fd7dc55c0c9d404990ae" @@ -3184,6 +3221,11 @@ micromatch@^4.0.4, micromatch@^4.0.5: braces "^3.0.3" picomatch "^2.3.1" +microseconds@0.2.0: + version "0.2.0" + resolved "https://registry.yarnpkg.com/microseconds/-/microseconds-0.2.0.tgz#233b25f50c62a65d861f978a4a4f8ec18797dc39" + integrity sha512-n7DHHMjR1avBbSpsTBj6fmMGh2AGrifVV4e+WYc3Q9lO+xnSZ3NyhcBND3vzzatt05LFhoKFRxrIyklmLlUtyA== + mime-db@1.52.0: version "1.52.0" resolved "https://registry.yarnpkg.com/mime-db/-/mime-db-1.52.0.tgz#bbabcdc02859f4987301c856e3387ce5ec43bf70" @@ -3287,6 +3329,13 @@ mz@^2.7.0: object-assign "^4.0.1" thenify-all "^1.0.0" +nano-time@1.0.0: + version "1.0.0" + resolved "https://registry.yarnpkg.com/nano-time/-/nano-time-1.0.0.tgz#b0554f69ad89e22d0907f7a12b0993a5d96137ef" + integrity sha512-flnngywOoQ0lLQOTRNexn2gGSNuM9bKj9RZAWSzhQ+UJYaAFG9bac4DW9VHjUAzrOaIcajHybCTHe/bkvozQqA== + dependencies: + big-integer "^1.6.16" + nanoid@^3.3.6, nanoid@^3.3.7: version "3.3.7" resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.3.7.tgz#d0c301a691bc8d54efa0a2226ccf3fe2fd656bd8" @@ -3423,6 +3472,11 @@ object.values@^1.1.6, object.values@^1.1.7: define-properties "^1.2.1" es-object-atoms "^1.0.0" +oblivious-set@1.0.0: + version "1.0.0" + resolved "https://registry.yarnpkg.com/oblivious-set/-/oblivious-set-1.0.0.tgz#c8316f2c2fb6ff7b11b6158db3234c49f733c566" + integrity sha512-z+pI07qxo4c2CulUHCDf9lcqDlMSo72N/4rLUpRXf6fu+q8vjt8y0xS+Tlf8NTJDdTXHbdeO1n3MlbctwEoXZw== + once@^1.3.0: version "1.4.0" resolved "https://registry.yarnpkg.com/once/-/once-1.4.0.tgz#583b1aa775961d4b113ac17d9c50baef9dd76bd1" @@ -3687,6 +3741,15 @@ react-is@^16.13.1, react-is@^16.7.0: resolved "https://registry.yarnpkg.com/react-is/-/react-is-16.13.1.tgz#789729a4dc36de2999dc156dd6c1d9c18cea56a4" integrity sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ== +react-query@^3.39.3: + version "3.39.3" + resolved "https://registry.yarnpkg.com/react-query/-/react-query-3.39.3.tgz#4cea7127c6c26bdea2de5fb63e51044330b03f35" + integrity sha512-nLfLz7GiohKTJDuT4us4X3h/8unOh+00MLb2yJoGTPjxKs2bc1iDhkNx2bd5MKklXnOD3NrVZ+J2UXujA5In4g== + dependencies: + "@babel/runtime" "^7.5.5" + broadcast-channel "^3.4.1" + match-sorter "^6.0.2" + react-remove-scroll-bar@^2.3.6: version "2.3.6" resolved "https://registry.yarnpkg.com/react-remove-scroll-bar/-/react-remove-scroll-bar-2.3.6.tgz#3e585e9d163be84a010180b18721e851ac81a29c" @@ -3780,6 +3843,11 @@ regexp.prototype.flags@^1.5.2: es-errors "^1.3.0" set-function-name "^2.0.1" +remove-accents@0.5.0: + version "0.5.0" + resolved "https://registry.yarnpkg.com/remove-accents/-/remove-accents-0.5.0.tgz#77991f37ba212afba162e375b627631315bed687" + integrity sha512-8g3/Otx1eJaVD12e31UbJj1YzdtVvzH85HV7t+9MJYk/u3XmkOUJ5Ys9wQrf9PCPK8+xn4ymzqYCiZl6QWKn+A== + resolve-from@^4.0.0: version "4.0.0" resolved "https://registry.yarnpkg.com/resolve-from/-/resolve-from-4.0.0.tgz#4abcd852ad32dd7baabfe9b40e00a36db5f392e6" @@ -3818,7 +3886,7 @@ reusify@^1.0.4: resolved "https://registry.yarnpkg.com/reusify/-/reusify-1.0.4.tgz#90da382b1e126efc02146e90845a88db12925d76" integrity sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw== -rimraf@^3.0.2: +rimraf@3.0.2, rimraf@^3.0.2: version "3.0.2" resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-3.0.2.tgz#f1a5402ba6220ad52cc1282bac1ae3aa49fd061a" integrity sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA== @@ -4265,6 +4333,14 @@ unbox-primitive@^1.0.2: has-symbols "^1.0.3" which-boxed-primitive "^1.0.2" +unload@2.2.0: + version "2.2.0" + resolved "https://registry.yarnpkg.com/unload/-/unload-2.2.0.tgz#ccc88fdcad345faa06a92039ec0f80b488880ef7" + integrity sha512-B60uB5TNBLtN6/LsgAf3udH9saB5p7gqJwcFfbOEZ8BcBHnGwCf6G/TGiEqkRAxX7zAFIUtzdrXQSdL3Q/wqNA== + dependencies: + "@babel/runtime" "^7.6.2" + detect-node "^2.0.4" + update-browserslist-db@^1.0.13: version "1.0.16" resolved "https://registry.yarnpkg.com/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz#f6d489ed90fb2f07d67784eb3f53d7891f736356" From a84987dab429c30eb8ec193cdc698bdcd031a0b9 Mon Sep 17 00:00:00 2001 From: vbarda Date: Fri, 24 May 2024 10:44:14 -0700 Subject: [PATCH 34/81] (wip) adding statefulness --- frontend/app/components/ChatList.tsx | 91 +++++ frontend/app/components/ChatMessageBubble.tsx | 21 +- frontend/app/components/ChatWindow.tsx | 315 +++++++++--------- frontend/app/components/SourceBubble.tsx | 6 +- frontend/app/hooks/useThread.ts | 11 +- frontend/app/hooks/useThreadList.ts | 78 +++++ frontend/app/hooks/useThreadMessages.ts | 83 +++++ frontend/app/types.ts | 31 ++ frontend/package.json | 3 +- frontend/yarn.lock | 13 +- 10 files changed, 462 insertions(+), 190 deletions(-) create mode 100644 frontend/app/components/ChatList.tsx create mode 100644 frontend/app/hooks/useThreadList.ts create mode 100644 frontend/app/hooks/useThreadMessages.ts create mode 100644 frontend/app/types.ts diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx new file mode 100644 index 000000000..e635aa5cb --- /dev/null +++ b/frontend/app/components/ChatList.tsx @@ -0,0 +1,91 @@ + +import { ThreadListProps } from "../hooks/useThreadList"; +import { useThread } from "../hooks/useThread"; + +import { Text } from "@chakra-ui/react"; +import { PlusSquareIcon } from "@chakra-ui/icons" + +export function ChatList(props: { + threads: ThreadListProps["threads"]; + enterChat: (id: string | null) => void; + deleteChat: (id: string) => void; +}) { + const { currentThread } = useThread(); + + // State for tracking which chat's menu is visible + // const [visibleMenu, setVisibleMenu] = useState(null); + + // Event listener to close the menu when clicking outside of it + // useEffect(() => { + // const closeMenu = () => setVisibleMenu(null); + // window.addEventListener("click", closeMenu); + // return () => window.removeEventListener("click", closeMenu); + // }, []); + + return ( + <> + <> + props.enterChat(null)}/> + New chat + + + + ); +} \ No newline at end of file diff --git a/frontend/app/components/ChatMessageBubble.tsx b/frontend/app/components/ChatMessageBubble.tsx index 1bfd62c95..e8ca1231e 100644 --- a/frontend/app/components/ChatMessageBubble.tsx +++ b/frontend/app/components/ChatMessageBubble.tsx @@ -3,7 +3,8 @@ import "react-toastify/dist/ReactToastify.css"; import { emojisplosion } from "emojisplosion"; import { useState, useRef } from "react"; import * as DOMPurify from "dompurify"; -import { SourceBubble, Source } from "./SourceBubble"; +import { SourceBubble } from "./SourceBubble"; +import { Message, Source, Feedback } from "../types"; import { VStack, Flex, @@ -18,24 +19,6 @@ import { sendFeedback } from "../utils/sendFeedback"; import { apiBaseUrl } from "../utils/constants"; import { InlineCitation } from "./InlineCitation"; -export type Message = { - id: string; - createdAt?: Date; - content: string; - type: "system" | "human" | "ai" | "function"; - runId?: string; - sources?: Source[]; - name?: string; - function_call?: { name: string }; -}; -export type Feedback = { - feedback_id: string; - run_id: string; - key: string; - score: number; - comment?: string; -}; - const filterSources = (sources: Source[]) => { const filtered: Source[] = []; const urlMap = new Map(); diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 03018a735..874cafd48 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -1,10 +1,10 @@ "use client"; -import React, { useEffect, useRef, useState } from "react"; +import React, { useCallback, useEffect, useRef, useState } from "react"; import { useSearchParams } from "next/navigation"; import { EmptyState } from "./EmptyState"; -import { ChatMessageBubble, Message } from "./ChatMessageBubble"; +import { ChatMessageBubble } from "./ChatMessageBubble"; import { AutoResizeTextarea } from "./AutoResizeTextarea"; import { marked } from "marked"; import { Renderer } from "marked"; @@ -22,10 +22,14 @@ import { } from "@chakra-ui/react"; import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; -import { Source } from "./SourceBubble"; +import { Message } from "../types"; import { apiBaseUrl } from "../utils/constants"; import { Client } from "@langchain/langgraph-sdk"; import { Document } from "@langchain/core/documents"; +import { useThreadList } from "../hooks/useThreadList"; +import { ChatList } from "./ChatList"; +import { useThread } from "../hooks/useThread"; +import { useThreadMessages } from "../hooks/useThreadMessages"; const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -38,11 +42,6 @@ const MODEL_TYPES = [ const defaultLlmValue = MODEL_TYPES[Math.floor(Math.random() * MODEL_TYPES.length)]; -const getThreadId = async (client: Client) => { - const response = await client.threads.create({ metadata: null }); - return response["thread_id"]; -}; - const getAssistantId = async (client: Client) => { const response = await client.assistants.search({ metadata: null, @@ -78,16 +77,16 @@ export function mergeMessagesById( export function ChatWindow() { const searchParams = useSearchParams(); - + const { currentThread } = useThread() + const { threads, createThread, updateThread, deleteThread } = useThreadList(); + const { updateMessages, messages, setMessages } = useThreadMessages(currentThread?.thread_id ?? null); const messageContainerRef = useRef(null); - const [messages, setMessages] = useState>([]); const [input, setInput] = useState(""); const [isLoading, setIsLoading] = useState(false); const [llm, setLlm] = useState( searchParams.get("llm") ?? "openai_gpt_3_5_turbo", ); const [llmIsLoading, setLlmIsLoading] = useState(true); - const [threadId, setThreadId] = useState(""); const [assistantId, setAssistantId] = useState(""); const client = new Client({ apiUrl: apiBaseUrl }); @@ -95,8 +94,6 @@ export function ChatWindow() { const setLanggraphInfo = async () => { const assistantId = await getAssistantId(client); setAssistantId(assistantId); - const threadId = await getThreadId(client); - setThreadId(threadId); }; useEffect(() => { @@ -112,6 +109,9 @@ export function ChatWindow() { if (isLoading) { return; } + if (currentThread == null) { + return; + } const messageValue = message ?? input; if (messageValue === "") return; setInput(""); @@ -123,9 +123,6 @@ export function ChatWindow() { setMessages((prevMessages) => [...prevMessages, formattedMessage]); setIsLoading(true); - let runId: string | undefined = undefined; - let sources: Source[] | undefined = undefined; - let renderer = new Renderer(); renderer.paragraph = (text) => { return text + "\n"; @@ -149,7 +146,7 @@ export function ChatWindow() { marked.setOptions({ renderer }); try { const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = await client.runs.stream(threadId, assistantId, { + const streamResponse = client.runs.stream(currentThread["thread_id"], assistantId, { input: { messages: [formattedMessage], }, @@ -159,30 +156,9 @@ export function ChatWindow() { }, streamMode: ["messages", "values"], }); - - for await (const chunk of streamResponse) { - if (chunk.event === "metadata") { - runId = (chunk.data as Record)["run_id"]; - } else if (chunk.event === "messages/partial") { - const chunkMessages = chunk.data as Message[]; - setMessages((prevMessages) => - mergeMessagesById( - prevMessages, - chunkMessages.map((message) => ({ ...message, sources })), - ), - ); - } else if (chunk.event === "values") { - const data = chunk.data as Record; - const documents = (data["documents"] ?? []) as Array; - sources = documents.map((doc) => ({ - url: doc.metadata.source, - title: doc.metadata.title, - })); - } - } + await updateMessages(streamResponse); setIsLoading(false); } catch (e) { - setMessages((prevMessages) => prevMessages.slice(0, -1)); setIsLoading(false); setInput(messageValue); throw e; @@ -208,133 +184,156 @@ export function ChatWindow() { } }; + const selectChat = useCallback( + async (id: string | null) => { + if (!id) { + const thread = await createThread("New chat", assistantId) + insertUrlParam("threadId", thread["thread_id"]) + } else { + insertUrlParam("threadId", id) + } + }, + [] + ); + return (
- 0 ? "" : "64px"} - > - 0 ? "2xl" : "3xl"} - fontWeight={"medium"} - mb={1} - color={"white"} - > - Chat LangChain šŸ¦œšŸ”— - - {messages.length > 0 ? ( - - We appreciate feedback! - - ) : ( - + + + + + 0 ? "" : "64px"} > - Ask me anything about LangChain's{" "} - - Python documentation! - - - )} -
-
- Powered by - {llmIsLoading ? ( - + 0 ? "2xl" : "3xl"} + fontWeight={"medium"} + mb={1} + color={"white"} + > + Chat LangChain šŸ¦œšŸ”— + + {messages.length > 0 ? ( + + We appreciate feedback! + ) : ( - + Ask me anything about LangChain's{" "} + + Python documentation! + + + )} +
+
+ Powered by + {llmIsLoading ? ( + + ) : ( + + )} +
+
+ +
+ {messages.length > 0 ? ( + [...messages] + .reverse() + .map((m, index) => ( + + )) + ) : ( + )}
-
- -
- {messages.length > 0 ? ( - [...messages] - .reverse() - .map((m, index) => ( - - )) - ) : ( - - )} -
- - setInput(e.target.value)} - onKeyDown={(e) => { - if (e.key === "Enter" && !e.shiftKey) { - e.preventDefault(); - sendMessage(); - } else if (e.key === "Enter" && e.shiftKey) { - e.preventDefault(); - setInput(input + "\n"); - } - }} - /> - - : } - type="submit" - onClick={(e) => { - e.preventDefault(); - sendMessage(); - }} - /> - - + + setInput(e.target.value)} + onKeyDown={(e) => { + if (e.key === "Enter" && !e.shiftKey) { + e.preventDefault(); + sendMessage(); + } else if (e.key === "Enter" && e.shiftKey) { + e.preventDefault(); + setInput(input + "\n"); + } + }} + /> + + : } + type="submit" + onClick={(e) => { + e.preventDefault(); + sendMessage(); + }} + /> + + - {messages.length === 0 ? ( - - ) : ( - "" - )} + {messages.length === 0 ? ( + + ) : ( + "" + )} + +
); } diff --git a/frontend/app/components/SourceBubble.tsx b/frontend/app/components/SourceBubble.tsx index 17bf2930f..ad074eb0c 100644 --- a/frontend/app/components/SourceBubble.tsx +++ b/frontend/app/components/SourceBubble.tsx @@ -1,11 +1,7 @@ import "react-toastify/dist/ReactToastify.css"; import { Card, CardBody, Heading } from "@chakra-ui/react"; import { sendFeedback } from "../utils/sendFeedback"; - -export type Source = { - url: string; - title: string; -}; +import { Source } from "../types"; export function SourceBubble({ source, diff --git a/frontend/app/hooks/useThread.ts b/frontend/app/hooks/useThread.ts index 9d1ae00d6..cf2bd8b4d 100644 --- a/frontend/app/hooks/useThread.ts +++ b/frontend/app/hooks/useThread.ts @@ -1,16 +1,21 @@ import { useQuery, useQueryClient } from "react-query"; import { useSearchParams } from "next/navigation" import { Client } from "@langchain/langgraph-sdk" +import { useEffect, useState } from "react"; export function useThread() { // Extract route parameters + const [threadId, setThreadId] = useState() const searchParams = useSearchParams(); - const threadId = searchParams.get("thread_id"); const queryClient = useQueryClient(); const langgraphClient = new Client(); + useEffect(() => { + setThreadId(searchParams.get("threadId") as string) + }, [searchParams]) + // React Query to fetch chat details if chatId is present - const { data: currentChat, isLoading } = useQuery( + const { data: currentThread, isLoading } = useQuery( ["thread", threadId], async () => await langgraphClient.threads.get(threadId as string), { @@ -24,7 +29,7 @@ export function useThread() { // Return both loading states, the chat data, and the assistant configuration return { - currentChat, + currentThread, isLoading, invalidateChat, }; diff --git a/frontend/app/hooks/useThreadList.ts b/frontend/app/hooks/useThreadList.ts new file mode 100644 index 000000000..13315791f --- /dev/null +++ b/frontend/app/hooks/useThreadList.ts @@ -0,0 +1,78 @@ +import { useCallback, useEffect, useReducer } from "react"; +import { Client } from "@langchain/langgraph-sdk" +// import orderBy from "lodash/orderBy"; +// TODO: get rid of it once Thread & other types are exportable by the langgraph SDK +import { Thread } from "../types"; + +export interface ThreadListProps { + threads: Thread[] | null; + createThread: (name: string, assistant_id: string) => Promise; + updateThread: ( + name: string, + thread_id: string, + assistant_id: string | null, + ) => Promise; + deleteThread: (thread_id: string) => Promise; +} + +function threadsReducer( + state: Thread[] | null, + action: Thread | Thread[], +): Thread[] | null { + state = state ?? []; + if (!Array.isArray(action)) { + const newThread = action; + action = [ + ...state.filter((c) => c.thread_id !== newThread.thread_id), + newThread, + ]; + } + return action + // TODO: figure this one out + // return orderBy(action, "updated_at", "desc"); +} + +export function useThreadList(): ThreadListProps { + const [threads, setThreads] = useReducer(threadsReducer, null); + // TODO: should this just be shared as a context? + const client = new Client() + + useEffect(() => { + async function fetchThreads() { + const threads = await client.threads.search() + setThreads(threads); + } + + fetchThreads(); + }, []); + + const createThread = useCallback(async (name: string) => { + const saved = await client.threads.create({ metadata: { name } }); + setThreads(saved); + return saved; + }, []); + + const updateThread = useCallback( + async (thread_id: string, name: string) => { + const saved = await client.threads.upsert(thread_id, { metadata: { name }}); + setThreads(saved); + return saved; + }, + [], + ); + + const deleteThread = useCallback( + async (thread_id: string) => { + await client.threads.delete(thread_id); + setThreads((threads || []).filter((c: Thread) => c.thread_id !== thread_id)); + }, + [threads], + ); + + return { + threads, + createThread, + updateThread, + deleteThread, + }; +} \ No newline at end of file diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts new file mode 100644 index 000000000..b229ecd35 --- /dev/null +++ b/frontend/app/hooks/useThreadMessages.ts @@ -0,0 +1,83 @@ +import { useCallback, useEffect, useMemo, useState } from "react"; +import { Message, Source } from "../types"; +import { Document } from "@langchain/core/documents"; +import { Client } from "@langchain/langgraph-sdk"; + +export function mergeMessagesById( + left: Message[] | Record | null | undefined, + right: Message[] | Record | null | undefined, +): Message[] { + const leftMsgs = Array.isArray(left) ? left : left?.messages; + const rightMsgs = Array.isArray(right) ? right : right?.messages; + + const merged = (leftMsgs ?? [])?.slice(); + for (const msg of rightMsgs ?? []) { + const foundIdx = merged.findIndex((m: any) => m.id === msg.id); + if (foundIdx === -1) { + merged.push(msg); + } else { + merged[foundIdx] = msg; + } + } + return merged; +} + +function getSources(values: Record) { + const documents = (values["documents"] ?? []) as Array; + const sources = documents.map((doc) => ({ + url: doc.metadata.source, + title: doc.metadata.title, + })); + return sources +} + +export function useThreadMessages( + threadId: string | null, +) { + // TODO: move this into context + const client = new Client() + const [messages, setMessages] = useState([]); + + useEffect(() => { + async function fetchMessages() { + if (threadId) { + const { values } = await client.threads.getState(threadId); + if (values != null) { + const messages = (Array.isArray(values) ? values : values.messages ?? []) as Message[]; + const sources = getSources(values) + setMessages(messages.map(message => ( {...message, sources }))); + } + } + } + fetchMessages() + }, [threadId]) + + const updateMessages = useCallback(async ( + stream: AsyncGenerator> + ) => { + let sources: Source[] = [] + for await (const chunk of stream) { + if (chunk.event === "messages/partial") { + const chunkMessages = chunk.data as Message[]; + setMessages((prevMessages) => + mergeMessagesById( + prevMessages, + chunkMessages.map((message) => ({ ...message, sources })), + ), + ); + } else if (chunk.event === "values") { + const data = chunk.data as Record; + sources = getSources(data); + } + } + }, [threadId]) + + return useMemo( + () => ({ + updateMessages, + messages, + setMessages + }), + [messages, updateMessages], + ); +} \ No newline at end of file diff --git a/frontend/app/types.ts b/frontend/app/types.ts new file mode 100644 index 000000000..5a9a3cea6 --- /dev/null +++ b/frontend/app/types.ts @@ -0,0 +1,31 @@ +type Optional = T | null | undefined; +export type Metadata = Optional>; +export interface Thread { + thread_id: string; + created_at: string; + updated_at: string; + metadata: Metadata; +} + +export type Source = { + url: string; + title: string; +}; + +export type Message = { + id: string; + createdAt?: Date; + content: string; + type: "system" | "human" | "ai" | "function"; + runId?: string; + sources?: Source[]; + name?: string; + function_call?: { name: string }; +}; +export type Feedback = { + feedback_id: string; + run_id: string; + key: string; + score: number; + comment?: string; +}; \ No newline at end of file diff --git a/frontend/package.json b/frontend/package.json index f794253f1..1eb2afc11 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -16,7 +16,7 @@ "@emotion/react": "^11.11.1", "@emotion/styled": "^11.11.0", "@langchain/core": "^0.1.27", - "@langchain/langgraph-sdk": "0.0.1-rc.1", + "@langchain/langgraph-sdk": "^0.0.1-rc.2", "@types/dompurify": "^3.0.5", "@types/marked": "^5.0.1", "@types/node": "20.4.9", @@ -31,6 +31,7 @@ "graphql": "^16.8.1", "highlight.js": "^11.8.0", "langsmith": "^0.0.41", + "lodash.orderby": "^4.6.0", "marked": "^7.0.2", "next": "13.5.4", "postcss": "8.4.31", diff --git a/frontend/yarn.lock b/frontend/yarn.lock index f02002a7f..9157a1ca2 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1108,10 +1108,10 @@ zod "^3.22.4" zod-to-json-schema "^3.22.3" -"@langchain/langgraph-sdk@0.0.1-rc.1": - version "0.0.1-rc.1" - resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.1.tgz#c1b092c8e81cab820d92328a4593d68d4ac0d99a" - integrity sha512-2FwOZpJLZXQy092BHfEocvMgTOWcc9puk+HoNqiIotisia77nbjA63SKqJnQGM1DjPzCfdK7sijoiEeaGMYhYg== +"@langchain/langgraph-sdk@^0.0.1-rc.2": + version "0.0.1-rc.2" + resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.2.tgz#a4039b5cc6a918a3f02bc224c7c54ebd505b885e" + integrity sha512-as+4mHL74IIeER0Yi/jDcyuwLIHZzoeWdijZsjIXXNro16nuxfmjl0IyH2bIjdVW7RnGLeBd/J7JdW4xGqot0w== dependencies: eventsource-parser "^1.1.2" p-queue "^6.6.2" @@ -3183,6 +3183,11 @@ lodash.mergewith@4.6.2: resolved "https://registry.yarnpkg.com/lodash.mergewith/-/lodash.mergewith-4.6.2.tgz#617121f89ac55f59047c7aec1ccd6654c6590f55" integrity sha512-GK3g5RPZWTRSeLSpgP8Xhra+pnjBC56q9FZYe1d5RN3TJ35dbkGy3YqBSMbyCrlbi+CM9Z3Jk5yTL7RCsqboyQ== +lodash.orderby@^4.6.0: + version "4.6.0" + resolved "https://registry.yarnpkg.com/lodash.orderby/-/lodash.orderby-4.6.0.tgz#e697f04ce5d78522f54d9338b32b81a3393e4eb3" + integrity sha512-T0rZxKmghOOf5YPnn8EY5iLYeWCpZq8G41FfqoVHH5QDTAFaghJRmAdLiadEDq+ztgM2q5PjA+Z1fOwGrLgmtg== + loose-envify@^1.0.0, loose-envify@^1.1.0, loose-envify@^1.4.0: version "1.4.0" resolved "https://registry.yarnpkg.com/loose-envify/-/loose-envify-1.4.0.tgz#71ee51fa7be4caec1a63839f7e682d8132d30caf" From f48e7c01c943fea1052d314021bf922c5e257049 Mon Sep 17 00:00:00 2001 From: vbarda Date: Fri, 24 May 2024 12:24:15 -0700 Subject: [PATCH 35/81] try ci --- .github/workflows/deploy-cloud-run.yaml | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/.github/workflows/deploy-cloud-run.yaml b/.github/workflows/deploy-cloud-run.yaml index 55753bf48..70420611b 100644 --- a/.github/workflows/deploy-cloud-run.yaml +++ b/.github/workflows/deploy-cloud-run.yaml @@ -17,6 +17,13 @@ jobs: run: | echo "GIT_SHORT_SHA=$(git rev-parse --short HEAD)" >> $GITHUB_ENV echo "LC_ENVIRONMENT=dev" >> $GITHUB_ENV + + - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} + uses: "./.github/actions/poetry_setup" + with: + python-version: ${{ matrix.python-version }} + poetry-version: ${{ env.POETRY_VERSION }} + cache-key: lint - name: Set up depot.dev multi-arch runner uses: depot/setup-action@v1 @@ -31,10 +38,10 @@ jobs: uses: docker/setup-buildx-action@v3 - name: Build and push - uses: docker/build-push-action@v5 - with: - push: true - tags: docker.io/langchain/chat-langchain-backend:${{ env.GIT_SHORT_SHA }} + run: | + pip install langgraph-cli + langgraph build -t docker.io/langchain/chat-langchain-backend:${{ env.GIT_SHORT_SHA }} + docker push docker.io/langchain/chat-langchain-backend:${{ env.GIT_SHORT_SHA }} - name: Checkout deployments repo uses: actions/checkout@v3 From 5b350fc47f02899b8d18bd19d0351412db2a4512 Mon Sep 17 00:00:00 2001 From: vbarda Date: Fri, 24 May 2024 12:26:49 -0700 Subject: [PATCH 36/81] Fix indent --- .github/workflows/deploy-cloud-run.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/deploy-cloud-run.yaml b/.github/workflows/deploy-cloud-run.yaml index 70420611b..5568b61bf 100644 --- a/.github/workflows/deploy-cloud-run.yaml +++ b/.github/workflows/deploy-cloud-run.yaml @@ -19,11 +19,11 @@ jobs: echo "LC_ENVIRONMENT=dev" >> $GITHUB_ENV - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} - uses: "./.github/actions/poetry_setup" - with: - python-version: ${{ matrix.python-version }} - poetry-version: ${{ env.POETRY_VERSION }} - cache-key: lint + uses: "./.github/actions/poetry_setup" + with: + python-version: ${{ matrix.python-version }} + poetry-version: ${{ env.POETRY_VERSION }} + cache-key: lint - name: Set up depot.dev multi-arch runner uses: depot/setup-action@v1 From ad910409b07b3de6c61c38b989090c964bbc3138 Mon Sep 17 00:00:00 2001 From: vbarda Date: Fri, 24 May 2024 12:29:19 -0700 Subject: [PATCH 37/81] Add env --- .github/workflows/deploy-cloud-run.yaml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/.github/workflows/deploy-cloud-run.yaml b/.github/workflows/deploy-cloud-run.yaml index 5568b61bf..8d5d2bd1b 100644 --- a/.github/workflows/deploy-cloud-run.yaml +++ b/.github/workflows/deploy-cloud-run.yaml @@ -5,6 +5,10 @@ on: branches: [master] workflow_dispatch: +env: + POETRY_VERSION: "1.7.1" + PYTHON_VERSION: "3.11" + jobs: deploy-backend: runs-on: ubuntu-latest @@ -18,10 +22,10 @@ jobs: echo "GIT_SHORT_SHA=$(git rev-parse --short HEAD)" >> $GITHUB_ENV echo "LC_ENVIRONMENT=dev" >> $GITHUB_ENV - - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} + - name: Set up Python ${{ env.PYTHON_VERSION }} + Poetry ${{ env.POETRY_VERSION }} uses: "./.github/actions/poetry_setup" with: - python-version: ${{ matrix.python-version }} + python-version: ${{ env.PYTHON_VERSION }} poetry-version: ${{ env.POETRY_VERSION }} cache-key: lint From addf76c510b0c8130576534c8621b74242e2b6c9 Mon Sep 17 00:00:00 2001 From: vbarda Date: Fri, 24 May 2024 14:15:25 -0700 Subject: [PATCH 38/81] nicer UI + fix the router --- frontend/app/components/ChatList.tsx | 118 +++++++++--------------- frontend/app/components/ChatWindow.tsx | 34 +++---- frontend/app/hooks/useThreadList.ts | 7 +- frontend/app/hooks/useThreadMessages.ts | 2 +- 4 files changed, 65 insertions(+), 96 deletions(-) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index e635aa5cb..21c39d52c 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -1,91 +1,61 @@ - import { ThreadListProps } from "../hooks/useThreadList"; -import { useThread } from "../hooks/useThread"; -import { Text } from "@chakra-ui/react"; +import { Flex, List, ListItem, Spacer, Text } from "@chakra-ui/react"; import { PlusSquareIcon } from "@chakra-ui/icons" +import { useThread } from "../hooks/useThread"; +import { Fragment } from "react"; +// TODO: this is super rudimentary and is meant to just test things working end-to-end +// need to replace this with a proper UI export function ChatList(props: { threads: ThreadListProps["threads"]; enterChat: (id: string | null) => void; deleteChat: (id: string) => void; }) { - const { currentThread } = useThread(); - - // State for tracking which chat's menu is visible - // const [visibleMenu, setVisibleMenu] = useState(null); - - // Event listener to close the menu when clicking outside of it - // useEffect(() => { - // const closeMenu = () => setVisibleMenu(null); - // window.addEventListener("click", closeMenu); - // return () => window.removeEventListener("click", closeMenu); - // }, []); - + const { currentThread } = useThread() return ( <> - <> + props.enterChat(null)} + > props.enterChat(null)}/> New chat - - + + {/* TODO: update this once the metadata bug is fixed in langgraph-sdk js */} + {/* @ts-ignore */} + {thread.metadata?.metadata["name"] as string ?? "New chat"} + + + { + idx !== (props.threads?.length ?? 0 - 1) && + } + + )) + } + ); } \ No newline at end of file diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 874cafd48..4d4c0daa5 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -1,7 +1,7 @@ "use client"; import React, { useCallback, useEffect, useRef, useState } from "react"; -import { useSearchParams } from "next/navigation"; +import { useRouter, useSearchParams } from "next/navigation"; import { EmptyState } from "./EmptyState"; import { ChatMessageBubble } from "./ChatMessageBubble"; @@ -25,7 +25,6 @@ import { Select, Link } from "@chakra-ui/react"; import { Message } from "../types"; import { apiBaseUrl } from "../utils/constants"; import { Client } from "@langchain/langgraph-sdk"; -import { Document } from "@langchain/core/documents"; import { useThreadList } from "../hooks/useThreadList"; import { ChatList } from "./ChatList"; import { useThread } from "../hooks/useThread"; @@ -76,6 +75,7 @@ export function mergeMessagesById( } export function ChatWindow() { + const router = useRouter() const searchParams = useSearchParams(); const { currentThread } = useThread() const { threads, createThread, updateThread, deleteThread } = useThreadList(); @@ -89,6 +89,7 @@ export function ChatWindow() { const [llmIsLoading, setLlmIsLoading] = useState(true); const [assistantId, setAssistantId] = useState(""); + // TODO: move this to a useLanggraphClient hook const client = new Client({ apiUrl: apiBaseUrl }); const setLanggraphInfo = async () => { @@ -145,6 +146,7 @@ export function ChatWindow() { }; marked.setOptions({ renderer }); try { + await updateThread(currentThread.thread_id, messageValue.slice(0, 20) + "...") const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; const streamResponse = client.runs.stream(currentThread["thread_id"], assistantId, { input: { @@ -170,24 +172,22 @@ export function ChatWindow() { }; const insertUrlParam = (key: string, value?: string) => { - if (window.history.pushState) { - const searchParams = new URLSearchParams(window.location.search); - searchParams.set(key, value ?? ""); - const newurl = - window.location.protocol + - "//" + - window.location.host + - window.location.pathname + - "?" + - searchParams.toString(); - window.history.pushState({ path: newurl }, "", newurl); - } + const searchParams = new URLSearchParams(window.location.search); + searchParams.set(key, value ?? ""); + const newUrl = + window.location.protocol + + "//" + + window.location.host + + window.location.pathname + + "?" + + searchParams.toString(); + router.push(newUrl) }; const selectChat = useCallback( async (id: string | null) => { if (!id) { - const thread = await createThread("New chat", assistantId) + const thread = await createThread("New chat") insertUrlParam("threadId", thread["thread_id"]) } else { insertUrlParam("threadId", id) @@ -198,8 +198,8 @@ export function ChatWindow() { return (
- - + + Promise; + createThread: (name: string) => Promise; updateThread: ( name: string, thread_id: string, - assistant_id: string | null, ) => Promise; deleteThread: (thread_id: string) => Promise; } @@ -28,13 +27,13 @@ function threadsReducer( ]; } return action - // TODO: figure this one out + // TODO: figure this one out -- something is breaking with lodash.orderBy // return orderBy(action, "updated_at", "desc"); } export function useThreadList(): ThreadListProps { const [threads, setThreads] = useReducer(threadsReducer, null); - // TODO: should this just be shared as a context? + // TODO: move this to a useLanggraphClient hook const client = new Client() useEffect(() => { diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts index b229ecd35..59144cc5b 100644 --- a/frontend/app/hooks/useThreadMessages.ts +++ b/frontend/app/hooks/useThreadMessages.ts @@ -34,7 +34,7 @@ function getSources(values: Record) { export function useThreadMessages( threadId: string | null, ) { - // TODO: move this into context + // TODO: move this into useLanggraphClient hook const client = new Client() const [messages, setMessages] = useState([]); From 5c4d012b69061a037767269a16a714a9c1085189 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 11:04:06 -0400 Subject: [PATCH 39/81] bump sdk --- frontend/app/components/ChatList.tsx | 4 +--- frontend/app/hooks/useThreadList.ts | 3 +-- frontend/app/types.ts | 10 +--------- frontend/yarn.lock | 6 +++--- 4 files changed, 6 insertions(+), 17 deletions(-) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index 21c39d52c..811be0c68 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -44,9 +44,7 @@ export function ChatList(props: { paddingRight={"8px"} > - {/* TODO: update this once the metadata bug is fixed in langgraph-sdk js */} - {/* @ts-ignore */} - {thread.metadata?.metadata["name"] as string ?? "New chat"} + {thread.metadata?.["name"] as string ?? "New chat"} { diff --git a/frontend/app/hooks/useThreadList.ts b/frontend/app/hooks/useThreadList.ts index 5b5fd276a..1421a058b 100644 --- a/frontend/app/hooks/useThreadList.ts +++ b/frontend/app/hooks/useThreadList.ts @@ -1,8 +1,7 @@ import { useCallback, useEffect, useReducer } from "react"; import { Client } from "@langchain/langgraph-sdk" // import orderBy from "lodash/orderBy"; -// TODO: get rid of it once Thread & other types are exportable by the langgraph SDK -import { Thread } from "../types"; +import { Thread } from "@langchain/langgraph-sdk" export interface ThreadListProps { threads: Thread[] | null; diff --git a/frontend/app/types.ts b/frontend/app/types.ts index 5a9a3cea6..b64833535 100644 --- a/frontend/app/types.ts +++ b/frontend/app/types.ts @@ -1,12 +1,3 @@ -type Optional = T | null | undefined; -export type Metadata = Optional>; -export interface Thread { - thread_id: string; - created_at: string; - updated_at: string; - metadata: Metadata; -} - export type Source = { url: string; title: string; @@ -22,6 +13,7 @@ export type Message = { name?: string; function_call?: { name: string }; }; + export type Feedback = { feedback_id: string; run_id: string; diff --git a/frontend/yarn.lock b/frontend/yarn.lock index 9157a1ca2..d7a848696 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1109,9 +1109,9 @@ zod-to-json-schema "^3.22.3" "@langchain/langgraph-sdk@^0.0.1-rc.2": - version "0.0.1-rc.2" - resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.2.tgz#a4039b5cc6a918a3f02bc224c7c54ebd505b885e" - integrity sha512-as+4mHL74IIeER0Yi/jDcyuwLIHZzoeWdijZsjIXXNro16nuxfmjl0IyH2bIjdVW7RnGLeBd/J7JdW4xGqot0w== + version "0.0.1-rc.3" + resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.1-rc.3.tgz#fe3848e886acfe6a81c57e6d80d4fcebd19890f4" + integrity sha512-Gt9M78dnDFIjyEk4HID+QyeXX+Fn7YkqeU+VAO0C0eZILLqGULMz1YVtmmyQGGPnSucyHSuDFqx/HgNKq7MShg== dependencies: eventsource-parser "^1.1.2" p-queue "^6.6.2" From a841d4d203d475043beedfbfcfb6b5f47972eb95 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 11:15:46 -0400 Subject: [PATCH 40/81] fix orderby --- frontend/app/components/ChatList.tsx | 6 +++--- frontend/app/hooks/useThreadList.ts | 9 +++------ frontend/package.json | 1 + frontend/yarn.lock | 7 +++++++ 4 files changed, 14 insertions(+), 9 deletions(-) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index 811be0c68..72fd03303 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -1,9 +1,9 @@ -import { ThreadListProps } from "../hooks/useThreadList"; - +import { Fragment } from "react"; import { Flex, List, ListItem, Spacer, Text } from "@chakra-ui/react"; import { PlusSquareIcon } from "@chakra-ui/icons" + +import { ThreadListProps } from "../hooks/useThreadList"; import { useThread } from "../hooks/useThread"; -import { Fragment } from "react"; // TODO: this is super rudimentary and is meant to just test things working end-to-end // need to replace this with a proper UI diff --git a/frontend/app/hooks/useThreadList.ts b/frontend/app/hooks/useThreadList.ts index 1421a058b..5be6ab84b 100644 --- a/frontend/app/hooks/useThreadList.ts +++ b/frontend/app/hooks/useThreadList.ts @@ -1,7 +1,6 @@ import { useCallback, useEffect, useReducer } from "react"; -import { Client } from "@langchain/langgraph-sdk" -// import orderBy from "lodash/orderBy"; -import { Thread } from "@langchain/langgraph-sdk" +import orderBy from "lodash.orderby" +import { Client, Thread } from "@langchain/langgraph-sdk" export interface ThreadListProps { threads: Thread[] | null; @@ -25,9 +24,7 @@ function threadsReducer( newThread, ]; } - return action - // TODO: figure this one out -- something is breaking with lodash.orderBy - // return orderBy(action, "updated_at", "desc"); + return orderBy(action, "updated_at", "desc"); } export function useThreadList(): ThreadListProps { diff --git a/frontend/package.json b/frontend/package.json index 1eb2afc11..08e03f6a7 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -18,6 +18,7 @@ "@langchain/core": "^0.1.27", "@langchain/langgraph-sdk": "^0.0.1-rc.2", "@types/dompurify": "^3.0.5", + "@types/lodash.orderby": "^4.6.9", "@types/marked": "^5.0.1", "@types/node": "20.4.9", "@types/react": "18.2.20", diff --git a/frontend/yarn.lock b/frontend/yarn.lock index d7a848696..09ebed86e 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -1237,6 +1237,13 @@ dependencies: "@types/lodash" "*" +"@types/lodash.orderby@^4.6.9": + version "4.6.9" + resolved "https://registry.yarnpkg.com/@types/lodash.orderby/-/lodash.orderby-4.6.9.tgz#3b1968ad257016690b1b9479ba4079208a97ee5f" + integrity sha512-T9o2wkIJOmxXwVTPTmwJ59W6eTi2FseiLR369fxszG649Po/xe9vqFNhf/MtnvT5jrbDiyWKxPFPZbpSVK0SVQ== + dependencies: + "@types/lodash" "*" + "@types/lodash@*": version "4.17.4" resolved "https://registry.yarnpkg.com/@types/lodash/-/lodash-4.17.4.tgz#0303b64958ee070059e3a7184048a55159fe20b7" From 0d993a43f6007b6dce55323762fc79b9a2d37b31 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 11:27:34 -0400 Subject: [PATCH 41/81] add useLangGraphClient hook --- frontend/app/components/ChatList.tsx | 2 ++ frontend/app/components/ChatWindow.tsx | 5 ++--- frontend/app/hooks/useLangGraphClient.ts | 22 ++++++++++++++++++++++ frontend/app/hooks/useThreadList.ts | 7 ++++--- frontend/app/hooks/useThreadMessages.ts | 8 ++++---- frontend/app/page.tsx | 18 ++++++++++++------ 6 files changed, 46 insertions(+), 16 deletions(-) create mode 100644 frontend/app/hooks/useLangGraphClient.ts diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index 72fd03303..c740d8752 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -1,3 +1,5 @@ +"use client"; + import { Fragment } from "react"; import { Flex, List, ListItem, Spacer, Text } from "@chakra-ui/react"; import { PlusSquareIcon } from "@chakra-ui/icons" diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 4d4c0daa5..0e96e404f 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -23,12 +23,12 @@ import { import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; import { Message } from "../types"; -import { apiBaseUrl } from "../utils/constants"; import { Client } from "@langchain/langgraph-sdk"; import { useThreadList } from "../hooks/useThreadList"; import { ChatList } from "./ChatList"; import { useThread } from "../hooks/useThread"; import { useThreadMessages } from "../hooks/useThreadMessages"; +import { useLangGraphClient } from "../hooks/useLangGraphClient"; const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -89,8 +89,7 @@ export function ChatWindow() { const [llmIsLoading, setLlmIsLoading] = useState(true); const [assistantId, setAssistantId] = useState(""); - // TODO: move this to a useLanggraphClient hook - const client = new Client({ apiUrl: apiBaseUrl }); + const client = useLangGraphClient() const setLanggraphInfo = async () => { const assistantId = await getAssistantId(client); diff --git a/frontend/app/hooks/useLangGraphClient.ts b/frontend/app/hooks/useLangGraphClient.ts new file mode 100644 index 000000000..f23dcc691 --- /dev/null +++ b/frontend/app/hooks/useLangGraphClient.ts @@ -0,0 +1,22 @@ +"use client"; + +import { Client } from "@langchain/langgraph-sdk"; +import { createContext, useContext } from "react"; + +export const LangGraphClientContext = createContext( + undefined, +) + +export const useLangGraphClient = (langGraphClient?: Client) => { + const client = useContext(LangGraphClientContext) + + if (langGraphClient) { + return langGraphClient + } + + if (!client) { + throw new Error("No LangGraphClient set, use LangGraphClientContext to set one") + } + + return client +} \ No newline at end of file diff --git a/frontend/app/hooks/useThreadList.ts b/frontend/app/hooks/useThreadList.ts index 5be6ab84b..9161f28dc 100644 --- a/frontend/app/hooks/useThreadList.ts +++ b/frontend/app/hooks/useThreadList.ts @@ -1,6 +1,8 @@ import { useCallback, useEffect, useReducer } from "react"; import orderBy from "lodash.orderby" -import { Client, Thread } from "@langchain/langgraph-sdk" +import { Thread } from "@langchain/langgraph-sdk" + +import { useLangGraphClient } from "./useLangGraphClient"; export interface ThreadListProps { threads: Thread[] | null; @@ -29,8 +31,7 @@ function threadsReducer( export function useThreadList(): ThreadListProps { const [threads, setThreads] = useReducer(threadsReducer, null); - // TODO: move this to a useLanggraphClient hook - const client = new Client() + const client = useLangGraphClient() useEffect(() => { async function fetchThreads() { diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts index 59144cc5b..cb08b8245 100644 --- a/frontend/app/hooks/useThreadMessages.ts +++ b/frontend/app/hooks/useThreadMessages.ts @@ -1,7 +1,8 @@ import { useCallback, useEffect, useMemo, useState } from "react"; -import { Message, Source } from "../types"; import { Document } from "@langchain/core/documents"; -import { Client } from "@langchain/langgraph-sdk"; + +import { Message, Source } from "../types"; +import { useLangGraphClient } from "./useLangGraphClient"; export function mergeMessagesById( left: Message[] | Record | null | undefined, @@ -34,8 +35,7 @@ function getSources(values: Record) { export function useThreadMessages( threadId: string | null, ) { - // TODO: move this into useLanggraphClient hook - const client = new Client() + const client = useLangGraphClient() const [messages, setMessages] = useState([]); useEffect(() => { diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx index 26ffe88cb..54e63835c 100644 --- a/frontend/app/page.tsx +++ b/frontend/app/page.tsx @@ -3,17 +3,23 @@ import { ToastContainer } from "react-toastify"; import { ChakraProvider } from "@chakra-ui/react"; import { QueryClient, QueryClientProvider } from "react-query"; +import { Client } from "@langchain/langgraph-sdk"; import { ChatWindow } from "./components/ChatWindow"; +import { LangGraphClientContext } from "./hooks/useLangGraphClient"; +import { apiBaseUrl } from "./utils/constants"; export default function Home() { const queryClient = new QueryClient() + const langGraphClient = new Client({ apiUrl: apiBaseUrl }) return ( - - - - - - + + + + + + + + ); } From cd1cdd41adb9502f49368d5901e7184ad6eb2652 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 11:32:01 -0400 Subject: [PATCH 42/81] fix import --- frontend/app/components/InlineCitation.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/app/components/InlineCitation.tsx b/frontend/app/components/InlineCitation.tsx index 33841983c..91a0f80e1 100644 --- a/frontend/app/components/InlineCitation.tsx +++ b/frontend/app/components/InlineCitation.tsx @@ -1,4 +1,4 @@ -import { Source } from "./SourceBubble"; +import { Source } from "../types"; export function InlineCitation(props: { source: Source; From 1df0cbe6d1e74d2c4dec9490998350b142677579 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 11:47:21 -0400 Subject: [PATCH 43/81] use client hook in useThread --- frontend/app/components/ChatWindow.tsx | 13 ++++++------- frontend/app/components/EmptyState.tsx | 1 - frontend/app/hooks/useThread.ts | 9 +++++---- 3 files changed, 11 insertions(+), 12 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 0e96e404f..15f0f3a16 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -2,15 +2,10 @@ import React, { useCallback, useEffect, useRef, useState } from "react"; import { useRouter, useSearchParams } from "next/navigation"; - -import { EmptyState } from "./EmptyState"; -import { ChatMessageBubble } from "./ChatMessageBubble"; -import { AutoResizeTextarea } from "./AutoResizeTextarea"; import { marked } from "marked"; import { Renderer } from "marked"; import hljs from "highlight.js"; import "highlight.js/styles/gradient-dark.css"; - import "react-toastify/dist/ReactToastify.css"; import { Heading, @@ -22,11 +17,15 @@ import { } from "@chakra-ui/react"; import { ArrowUpIcon } from "@chakra-ui/icons"; import { Select, Link } from "@chakra-ui/react"; -import { Message } from "../types"; import { Client } from "@langchain/langgraph-sdk"; -import { useThreadList } from "../hooks/useThreadList"; + +import { EmptyState } from "./EmptyState"; +import { ChatMessageBubble } from "./ChatMessageBubble"; +import { AutoResizeTextarea } from "./AutoResizeTextarea"; +import { Message } from "../types"; import { ChatList } from "./ChatList"; import { useThread } from "../hooks/useThread"; +import { useThreadList } from "../hooks/useThreadList"; import { useThreadMessages } from "../hooks/useThreadMessages"; import { useLangGraphClient } from "../hooks/useLangGraphClient"; diff --git a/frontend/app/components/EmptyState.tsx b/frontend/app/components/EmptyState.tsx index 43b960700..c572cf8da 100644 --- a/frontend/app/components/EmptyState.tsx +++ b/frontend/app/components/EmptyState.tsx @@ -1,7 +1,6 @@ import { MouseEvent } from "react"; import { Heading, - Link, Card, CardHeader, Flex, diff --git a/frontend/app/hooks/useThread.ts b/frontend/app/hooks/useThread.ts index cf2bd8b4d..1259fe200 100644 --- a/frontend/app/hooks/useThread.ts +++ b/frontend/app/hooks/useThread.ts @@ -1,14 +1,15 @@ +import { useEffect, useState } from "react"; import { useQuery, useQueryClient } from "react-query"; import { useSearchParams } from "next/navigation" -import { Client } from "@langchain/langgraph-sdk" -import { useEffect, useState } from "react"; + +import { useLangGraphClient } from "./useLangGraphClient"; export function useThread() { // Extract route parameters const [threadId, setThreadId] = useState() const searchParams = useSearchParams(); const queryClient = useQueryClient(); - const langgraphClient = new Client(); + const langGraphClient = useLangGraphClient() useEffect(() => { setThreadId(searchParams.get("threadId") as string) @@ -17,7 +18,7 @@ export function useThread() { // React Query to fetch chat details if chatId is present const { data: currentThread, isLoading } = useQuery( ["thread", threadId], - async () => await langgraphClient.threads.get(threadId as string), + async () => await langGraphClient.threads.get(threadId as string), { enabled: !!threadId, }, From f7274bd882ddeff2f9e1cbb89f31da764e390509 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 12:36:40 -0400 Subject: [PATCH 44/81] add use stream state --- frontend/app/hooks/useStreamState.ts | 143 +++++++++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 frontend/app/hooks/useStreamState.ts diff --git a/frontend/app/hooks/useStreamState.ts b/frontend/app/hooks/useStreamState.ts new file mode 100644 index 000000000..c4d7c0c47 --- /dev/null +++ b/frontend/app/hooks/useStreamState.ts @@ -0,0 +1,143 @@ +import { useCallback, useState } from "react"; +import { Message, Source } from "../types"; +import { useLangGraphClient } from "./useLangGraphClient"; +import { Config } from "@langchain/langgraph-sdk"; +import { Document } from "@langchain/core/documents"; + +export interface StreamState { + status: "inflight" | "error" | "done"; + messages?: Message[] | Record; + run_id?: string; +} + +export interface StreamStateProps { + stream: StreamState | null; + startStream: ( + input: Message[], + threadId: string, + assistantId: string, + config?: Config, + ) => Promise; + stopStream?: (clear?: boolean) => void; +} + +function mergeMessagesById( + left: Message[] | Record | null | undefined, + right: Message[] | Record | null | undefined, +): Message[] { + const leftMsgs = Array.isArray(left) ? left : left?.messages; + const rightMsgs = Array.isArray(right) ? right : right?.messages; + + const merged = (leftMsgs ?? [])?.slice(); + for (const msg of rightMsgs ?? []) { + const foundIdx = merged.findIndex((m: any) => m.id === msg.id); + if (foundIdx === -1) { + merged.push(msg); + } else { + merged[foundIdx] = msg; + } + } + return merged; +} + +function getSources(values: Record) { + const documents = (values["documents"] ?? []) as Array; + const sources = documents.map((doc) => ({ + url: doc.metadata.source, + title: doc.metadata.title, + })); + return sources +} + +export function useStreamState(): StreamStateProps { + const [current, setCurrent] = useState(null); + const [controller, setController] = useState(null); + const client = useLangGraphClient() + + // TODO: figure out how we actually deal with the controller here + const startStream = useCallback( + async ( + input: Message[],//, | Record | null, + threadId: string, + assistantId: string, + config?: Config//Record, + ) => { + const controller = new AbortController(); + setController(controller); + setCurrent({ status: "inflight", messages: input || [] }); + + const stream = client.runs.stream( + threadId, + assistantId, + { + // @ts-ignore + input, + config, + streamMode: ["messages", "values"], + } + ) + + let sources: Source[] = [] + for await (const chunk of stream) { + if (chunk.event === "metadata") { + setCurrent((current) => ({ + status: "inflight", + messages: current?.messages, + run_id: chunk.data["run_id"] as string, + })); + } else if (chunk.event === "messages/partial") { + const chunkMessages = chunk.data as Message[]; + setCurrent((current) => ({ + status: "inflight", + messages: mergeMessagesById( + current?.messages, chunkMessages.map((message) => ({ ...message, sources })) + ), + run_id: current?.run_id, + })); + } else if (chunk.event === "values") { + const data = chunk.data as Record; + sources = getSources(data); + } else if (chunk.event === "error") { + setCurrent((current) => ({ + status: "error", + messages: current?.messages, + run_id: current?.run_id, + })); + } else if (chunk.event === "end") { + setCurrent((current) => ({ + status: "done", + messages: current?.messages, + run_id: current?.run_id, + })); + } + } + }, + [], + ); + + const stopStream = useCallback( + (clear: boolean = false) => { + controller?.abort(); + setController(null); + if (clear) { + setCurrent((current) => ({ + status: "done", + run_id: current?.run_id, + })); + } else { + setCurrent((current) => ({ + status: "done", + messages: current?.messages, + run_id: current?.run_id, + })); + } + }, + [controller], + ); + + return { + startStream, + stopStream, + stream: current, + }; +} \ No newline at end of file From 2839d3393cb9faab1af3782493e26dab46a08a10 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 13:46:37 -0400 Subject: [PATCH 45/81] switch to using useStreamState --- frontend/app/components/ChatWindow.tsx | 26 +++--- frontend/app/hooks/useStreamState.ts | 13 ++- frontend/app/hooks/useThreadMessages.ts | 108 +++++++++++------------- 3 files changed, 72 insertions(+), 75 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 15f0f3a16..f714d55bb 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -28,6 +28,7 @@ import { useThread } from "../hooks/useThread"; import { useThreadList } from "../hooks/useThreadList"; import { useThreadMessages } from "../hooks/useThreadMessages"; import { useLangGraphClient } from "../hooks/useLangGraphClient"; +import { useStreamState } from "../hooks/useStreamState"; const MODEL_TYPES = [ "openai_gpt_3_5_turbo", @@ -78,7 +79,8 @@ export function ChatWindow() { const searchParams = useSearchParams(); const { currentThread } = useThread() const { threads, createThread, updateThread, deleteThread } = useThreadList(); - const { updateMessages, messages, setMessages } = useThreadMessages(currentThread?.thread_id ?? null); + const { stream, startStream, stopStream } = useStreamState() + const { refreshMessages, messages, setMessages } = useThreadMessages(currentThread?.thread_id ?? null, stream, stopStream); const messageContainerRef = useRef(null); const [input, setInput] = useState(""); const [isLoading, setIsLoading] = useState(false); @@ -144,19 +146,19 @@ export function ChatWindow() { }; marked.setOptions({ renderer }); try { - await updateThread(currentThread.thread_id, messageValue.slice(0, 20) + "...") + const threadName = messageValue.length > 20 ? messageValue.slice(0, 20) + "..." : messageValue + await updateThread(currentThread["thread_id"], threadName) const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = client.runs.stream(currentThread["thread_id"], assistantId, { - input: { - messages: [formattedMessage], - }, - config: { + await startStream( + [formattedMessage], + currentThread["thread_id"], + assistantId, + { configurable: { model_name: llm }, tags: ["model:" + llmDisplayName], }, - streamMode: ["messages", "values"], - }); - await updateMessages(streamResponse); + ) + await refreshMessages() setIsLoading(false); } catch (e) { setIsLoading(false); @@ -184,6 +186,10 @@ export function ChatWindow() { const selectChat = useCallback( async (id: string | null) => { + if (currentThread) { + stopStream?.(true) + } + if (!id) { const thread = await createThread("New chat") insertUrlParam("threadId", thread["thread_id"]) diff --git a/frontend/app/hooks/useStreamState.ts b/frontend/app/hooks/useStreamState.ts index c4d7c0c47..3e49eef74 100644 --- a/frontend/app/hooks/useStreamState.ts +++ b/frontend/app/hooks/useStreamState.ts @@ -21,7 +21,7 @@ export interface StreamStateProps { stopStream?: (clear?: boolean) => void; } -function mergeMessagesById( +export function mergeMessagesById( left: Message[] | Record | null | undefined, right: Message[] | Record | null | undefined, ): Message[] { @@ -40,7 +40,7 @@ function mergeMessagesById( return merged; } -function getSources(values: Record) { +export function getSources(values: Record) { const documents = (values["documents"] ?? []) as Array; const sources = documents.map((doc) => ({ url: doc.metadata.source, @@ -57,21 +57,20 @@ export function useStreamState(): StreamStateProps { // TODO: figure out how we actually deal with the controller here const startStream = useCallback( async ( - input: Message[],//, | Record | null, + messages: Message[], threadId: string, assistantId: string, - config?: Config//Record, + config?: Config ) => { const controller = new AbortController(); setController(controller); - setCurrent({ status: "inflight", messages: input || [] }); + setCurrent({ status: "inflight", messages: messages || [] }); const stream = client.runs.stream( threadId, assistantId, { - // @ts-ignore - input, + input: { messages }, config, streamMode: ["messages", "values"], } diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts index cb08b8245..80dc0e349 100644 --- a/frontend/app/hooks/useThreadMessages.ts +++ b/frontend/app/hooks/useThreadMessages.ts @@ -1,83 +1,75 @@ -import { useCallback, useEffect, useMemo, useState } from "react"; -import { Document } from "@langchain/core/documents"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; -import { Message, Source } from "../types"; +import { Message } from "../types"; import { useLangGraphClient } from "./useLangGraphClient"; +import { StreamState, getSources, mergeMessagesById } from "./useStreamState"; -export function mergeMessagesById( - left: Message[] | Record | null | undefined, - right: Message[] | Record | null | undefined, -): Message[] { - const leftMsgs = Array.isArray(left) ? left : left?.messages; - const rightMsgs = Array.isArray(right) ? right : right?.messages; - - const merged = (leftMsgs ?? [])?.slice(); - for (const msg of rightMsgs ?? []) { - const foundIdx = merged.findIndex((m: any) => m.id === msg.id); - if (foundIdx === -1) { - merged.push(msg); - } else { - merged[foundIdx] = msg; - } - } - return merged; +function usePrevious(value: T): T | undefined { + const ref = useRef(); + useEffect(() => { + ref.current = value; + }); + return ref.current; } -function getSources(values: Record) { - const documents = (values["documents"] ?? []) as Array; - const sources = documents.map((doc) => ({ - url: doc.metadata.source, - title: doc.metadata.title, - })); - return sources +function getMessagesFromValues (values: Record) { + const messages = ((Array.isArray(values) ? values : values.messages) ?? []) as Message[]; + const sources = getSources(values) + return messages.map(message => ({ ...message, sources })) } export function useThreadMessages( threadId: string | null, + streamState: StreamState | null, + stopStream?: (clear?: boolean) => void, ) { const client = useLangGraphClient() const [messages, setMessages] = useState([]); + const [next, setNext] = useState([]); + const prevStreamStatus = usePrevious(streamState?.status); + + const refreshMessages = useCallback(async () => { + if (threadId) { + const { values, next } = await client.threads.getState(threadId); + const messages = getMessagesFromValues(values); + setMessages(messages) + setNext(next); + } + }, [threadId]); + + useEffect(() => { + refreshMessages(); + return () => { + setMessages([]); + }; + }, [threadId, refreshMessages]); useEffect(() => { async function fetchMessages() { if (threadId) { - const { values } = await client.threads.getState(threadId); - if (values != null) { - const messages = (Array.isArray(values) ? values : values.messages ?? []) as Message[]; - const sources = getSources(values) - setMessages(messages.map(message => ( {...message, sources }))); - } + const { values, next } = await client.threads.getState(threadId); + const messages = getMessagesFromValues(values); + setMessages(messages) + setNext(next); + stopStream?.(true); } - } - fetchMessages() - }, [threadId]) + } - const updateMessages = useCallback(async ( - stream: AsyncGenerator> - ) => { - let sources: Source[] = [] - for await (const chunk of stream) { - if (chunk.event === "messages/partial") { - const chunkMessages = chunk.data as Message[]; - setMessages((prevMessages) => - mergeMessagesById( - prevMessages, - chunkMessages.map((message) => ({ ...message, sources })), - ), - ); - } else if (chunk.event === "values") { - const data = chunk.data as Record; - sources = getSources(data); - } + if (prevStreamStatus === "inflight" && streamState?.status !== "inflight") { + setNext([]); + fetchMessages(); } - }, [threadId]) + + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [streamState?.status]); return useMemo( () => ({ - updateMessages, - messages, - setMessages + refreshMessages, + messages: mergeMessagesById(messages, streamState?.messages), + setMessages, + next, }), - [messages, updateMessages], + [messages, streamState?.messages, next, refreshMessages], ); } \ No newline at end of file From d446a66681e30161cc940289111a94319d793521 Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 14:35:46 -0400 Subject: [PATCH 46/81] add a right-click delete chat --- frontend/app/components/ChatList.tsx | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index c740d8752..32d2cc5a1 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -38,6 +38,12 @@ export function ChatList(props: { props.enterChat(thread.thread_id)} + onContextMenu={(e) => { + e.preventDefault(); + if (confirm("Delete chat?")) { + props.deleteChat(thread.thread_id) + } + }} style={{width: "100%"}} backgroundColor={currentThread?.thread_id === thread.thread_id ? "rgb(78,78,81)" : "rgb(58, 58, 61)"} _hover={{ backgroundColor: "rgb(78,78,81)" }} From 1821d91be4d1496dc2af84df50c4daba57b3e214 Mon Sep 17 00:00:00 2001 From: jacoblee93 Date: Sun, 26 May 2024 16:21:36 -0700 Subject: [PATCH 47/81] CSS --- frontend/app/components/ChatList.tsx | 72 ++--- frontend/app/components/ChatWindow.tsx | 329 +++++++++++++---------- frontend/app/components/EmptyState.tsx | 10 +- frontend/app/hooks/useLangGraphClient.ts | 14 +- frontend/app/hooks/useThread.ts | 12 +- frontend/app/hooks/useThreadList.ts | 34 ++- frontend/app/hooks/useThreadMessages.ts | 63 ++--- frontend/app/layout.tsx | 2 +- frontend/app/page.tsx | 12 +- frontend/app/types.ts | 2 +- 10 files changed, 294 insertions(+), 256 deletions(-) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index c740d8752..8b4306e87 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -1,8 +1,8 @@ "use client"; import { Fragment } from "react"; -import { Flex, List, ListItem, Spacer, Text } from "@chakra-ui/react"; -import { PlusSquareIcon } from "@chakra-ui/icons" +import { List, ListItem, Spacer, Text, Button } from "@chakra-ui/react"; +import { PlusSquareIcon } from "@chakra-ui/icons"; import { ThreadListProps } from "../hooks/useThreadList"; import { useThread } from "../hooks/useThread"; @@ -14,48 +14,50 @@ export function ChatList(props: { enterChat: (id: string | null) => void; deleteChat: (id: string) => void; }) { - const { currentThread } = useThread() + const { currentThread } = useThread(); return ( <> - props.enterChat(null)} > - props.enterChat(null)}/> + props.enterChat(null)} + /> New chat - - Your chats + + + Previous chats + - { - props.threads?.map((thread, idx) => ( - - props.enterChat(thread.thread_id)} - style={{width: "100%"}} - backgroundColor={currentThread?.thread_id === thread.thread_id ? "rgb(78,78,81)" : "rgb(58, 58, 61)"} - _hover={{ backgroundColor: "rgb(78,78,81)" }} - borderRadius={"8px"} - paddingLeft={"8px"} - paddingRight={"8px"} - > - - {thread.metadata?.["name"] as string ?? "New chat"} - - - { - idx !== (props.threads?.length ?? 0 - 1) && + {props.threads?.map((thread, idx) => ( + + props.enterChat(thread.thread_id)} + style={{ width: "100%" }} + backgroundColor={ + currentThread?.thread_id === thread.thread_id + ? "rgb(78,78,81)" + : "rgb(58, 58, 61)" } - - )) - } + _hover={{ backgroundColor: "rgb(78,78,81)" }} + borderRadius={"8px"} + paddingLeft={"8px"} + paddingRight={"8px"} + > + + {(thread.metadata?.["name"] as string) ?? "New chat"} + + + {idx !== (props.threads?.length ?? 0 - 1) && ( + + )} + + ))} ); -} \ No newline at end of file +} diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 15f0f3a16..544207819 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -74,11 +74,13 @@ export function mergeMessagesById( } export function ChatWindow() { - const router = useRouter() + const router = useRouter(); const searchParams = useSearchParams(); - const { currentThread } = useThread() + const { currentThread } = useThread(); const { threads, createThread, updateThread, deleteThread } = useThreadList(); - const { updateMessages, messages, setMessages } = useThreadMessages(currentThread?.thread_id ?? null); + const { updateMessages, messages, setMessages } = useThreadMessages( + currentThread?.thread_id ?? null, + ); const messageContainerRef = useRef(null); const [input, setInput] = useState(""); const [isLoading, setIsLoading] = useState(false); @@ -88,7 +90,7 @@ export function ChatWindow() { const [llmIsLoading, setLlmIsLoading] = useState(true); const [assistantId, setAssistantId] = useState(""); - const client = useLangGraphClient() + const client = useLangGraphClient(); const setLanggraphInfo = async () => { const assistantId = await getAssistantId(client); @@ -144,18 +146,25 @@ export function ChatWindow() { }; marked.setOptions({ renderer }); try { - await updateThread(currentThread.thread_id, messageValue.slice(0, 20) + "...") + await updateThread( + currentThread.thread_id, + messageValue.slice(0, 20) + "...", + ); const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; - const streamResponse = client.runs.stream(currentThread["thread_id"], assistantId, { - input: { - messages: [formattedMessage], - }, - config: { - configurable: { model_name: llm }, - tags: ["model:" + llmDisplayName], + const streamResponse = client.runs.stream( + currentThread["thread_id"], + assistantId, + { + input: { + messages: [formattedMessage], + }, + config: { + configurable: { model_name: llm }, + tags: ["model:" + llmDisplayName], + }, + streamMode: ["messages", "values"], }, - streamMode: ["messages", "values"], - }); + ); await updateMessages(streamResponse); setIsLoading(false); } catch (e) { @@ -179,159 +188,191 @@ export function ChatWindow() { window.location.pathname + "?" + searchParams.toString(); - router.push(newUrl) + router.push(newUrl); }; - const selectChat = useCallback( - async (id: string | null) => { - if (!id) { - const thread = await createThread("New chat") - insertUrlParam("threadId", thread["thread_id"]) - } else { - insertUrlParam("threadId", id) - } - }, - [] - ); + const selectChat = useCallback(async (id: string | null) => { + if (!id) { + const thread = await createThread("New chat"); + insertUrlParam("threadId", thread["thread_id"]); + } else { + insertUrlParam("threadId", id); + } + }, []); return ( -
- - + <> +
+ - + 0 ? "" : "64px"} + flexGrow={"1"} + margin={"24px"} + height={"100%"} > - 0 ? "2xl" : "3xl"} - fontWeight={"medium"} - mb={1} - color={"white"} + 0 ? "" : "64px"} > - Chat LangChain šŸ¦œšŸ”— - - {messages.length > 0 ? ( - - We appreciate feedback! - - ) : ( 0 ? "2xl" : "3xl"} + fontWeight={"medium"} + mb={1} color={"white"} - marginTop={"10px"} - textAlign={"center"} > - Ask me anything about LangChain's{" "} - - Python documentation! - + Chat LangChain šŸ¦œšŸ”— - )} -
-
- Powered by - {llmIsLoading ? ( - - ) : ( - - )} + {messages.length > 0 ? ( + + We appreciate feedback! + + ) : ( + + Ask me anything about LangChain's{" "} + + Python documentation! + + + )} +
+
+ Powered by + {llmIsLoading ? ( + + ) : ( + + )} +
+ +
+ {messages.length > 0 ? ( + [...messages] + .reverse() + .map((m, index) => ( + + )) + ) : ( + + )}
- -
- {messages.length > 0 ? ( - [...messages] - .reverse() - .map((m, index) => ( - - )) - ) : ( - - )} -
- - setInput(e.target.value)} - onKeyDown={(e) => { - if (e.key === "Enter" && !e.shiftKey) { - e.preventDefault(); - sendMessage(); - } else if (e.key === "Enter" && e.shiftKey) { - e.preventDefault(); - setInput(input + "\n"); - } - }} - /> - - : } - type="submit" - onClick={(e) => { - e.preventDefault(); - sendMessage(); + + setInput(e.target.value)} + onKeyDown={(e) => { + if (e.key === "Enter" && !e.shiftKey) { + e.preventDefault(); + sendMessage(); + } else if (e.key === "Enter" && e.shiftKey) { + e.preventDefault(); + setInput(input + "\n"); + } }} /> - - - - {messages.length === 0 ? ( - - ) : ( - "" - )} + + : } + type="submit" + onClick={(e) => { + e.preventDefault(); + sendMessage(); + }} + /> + + + {messages.length === 0 ? ( + + ) : ( + "" + )} + - -
+
+ ); } diff --git a/frontend/app/components/EmptyState.tsx b/frontend/app/components/EmptyState.tsx index c572cf8da..317fe9aba 100644 --- a/frontend/app/components/EmptyState.tsx +++ b/frontend/app/components/EmptyState.tsx @@ -1,18 +1,12 @@ import { MouseEvent } from "react"; -import { - Heading, - Card, - CardHeader, - Flex, - Spacer, -} from "@chakra-ui/react"; +import { Heading, Card, CardHeader, Flex, Spacer } from "@chakra-ui/react"; export function EmptyState(props: { onChoice: (question: string) => any }) { const handleClick = (e: MouseEvent) => { props.onChoice((e.target as HTMLDivElement).innerText); }; return ( -
+
( undefined, -) +); export const useLangGraphClient = (langGraphClient?: Client) => { - const client = useContext(LangGraphClientContext) + const client = useContext(LangGraphClientContext); if (langGraphClient) { - return langGraphClient + return langGraphClient; } if (!client) { - throw new Error("No LangGraphClient set, use LangGraphClientContext to set one") + throw new Error( + "No LangGraphClient set, use LangGraphClientContext to set one", + ); } - return client -} \ No newline at end of file + return client; +}; diff --git a/frontend/app/hooks/useThread.ts b/frontend/app/hooks/useThread.ts index 1259fe200..6c373313a 100644 --- a/frontend/app/hooks/useThread.ts +++ b/frontend/app/hooks/useThread.ts @@ -1,19 +1,19 @@ import { useEffect, useState } from "react"; import { useQuery, useQueryClient } from "react-query"; -import { useSearchParams } from "next/navigation" +import { useSearchParams } from "next/navigation"; import { useLangGraphClient } from "./useLangGraphClient"; export function useThread() { // Extract route parameters - const [threadId, setThreadId] = useState() + const [threadId, setThreadId] = useState(); const searchParams = useSearchParams(); const queryClient = useQueryClient(); - const langGraphClient = useLangGraphClient() + const langGraphClient = useLangGraphClient(); useEffect(() => { - setThreadId(searchParams.get("threadId") as string) - }, [searchParams]) + setThreadId(searchParams.get("threadId") as string); + }, [searchParams]); // React Query to fetch chat details if chatId is present const { data: currentThread, isLoading } = useQuery( @@ -34,4 +34,4 @@ export function useThread() { isLoading, invalidateChat, }; -} \ No newline at end of file +} diff --git a/frontend/app/hooks/useThreadList.ts b/frontend/app/hooks/useThreadList.ts index 9161f28dc..fae1ad1c9 100644 --- a/frontend/app/hooks/useThreadList.ts +++ b/frontend/app/hooks/useThreadList.ts @@ -1,16 +1,13 @@ import { useCallback, useEffect, useReducer } from "react"; -import orderBy from "lodash.orderby" -import { Thread } from "@langchain/langgraph-sdk" +import orderBy from "lodash.orderby"; +import { Thread } from "@langchain/langgraph-sdk"; import { useLangGraphClient } from "./useLangGraphClient"; export interface ThreadListProps { threads: Thread[] | null; createThread: (name: string) => Promise; - updateThread: ( - name: string, - thread_id: string, - ) => Promise; + updateThread: (name: string, thread_id: string) => Promise; deleteThread: (thread_id: string) => Promise; } @@ -31,11 +28,11 @@ function threadsReducer( export function useThreadList(): ThreadListProps { const [threads, setThreads] = useReducer(threadsReducer, null); - const client = useLangGraphClient() + const client = useLangGraphClient(); useEffect(() => { async function fetchThreads() { - const threads = await client.threads.search() + const threads = await client.threads.search(); setThreads(threads); } @@ -48,19 +45,20 @@ export function useThreadList(): ThreadListProps { return saved; }, []); - const updateThread = useCallback( - async (thread_id: string, name: string) => { - const saved = await client.threads.upsert(thread_id, { metadata: { name }}); - setThreads(saved); - return saved; - }, - [], - ); + const updateThread = useCallback(async (thread_id: string, name: string) => { + const saved = await client.threads.upsert(thread_id, { + metadata: { name }, + }); + setThreads(saved); + return saved; + }, []); const deleteThread = useCallback( async (thread_id: string) => { await client.threads.delete(thread_id); - setThreads((threads || []).filter((c: Thread) => c.thread_id !== thread_id)); + setThreads( + (threads || []).filter((c: Thread) => c.thread_id !== thread_id), + ); }, [threads], ); @@ -71,4 +69,4 @@ export function useThreadList(): ThreadListProps { updateThread, deleteThread, }; -} \ No newline at end of file +} diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts index cb08b8245..b69179621 100644 --- a/frontend/app/hooks/useThreadMessages.ts +++ b/frontend/app/hooks/useThreadMessages.ts @@ -29,13 +29,11 @@ function getSources(values: Record) { url: doc.metadata.source, title: doc.metadata.title, })); - return sources + return sources; } -export function useThreadMessages( - threadId: string | null, -) { - const client = useLangGraphClient() +export function useThreadMessages(threadId: string | null) { + const client = useLangGraphClient(); const [messages, setMessages] = useState([]); useEffect(() => { @@ -43,41 +41,44 @@ export function useThreadMessages( if (threadId) { const { values } = await client.threads.getState(threadId); if (values != null) { - const messages = (Array.isArray(values) ? values : values.messages ?? []) as Message[]; - const sources = getSources(values) - setMessages(messages.map(message => ( {...message, sources }))); + const messages = ( + Array.isArray(values) ? values : values.messages ?? [] + ) as Message[]; + const sources = getSources(values); + setMessages(messages.map((message) => ({ ...message, sources }))); } } - } - fetchMessages() - }, [threadId]) + } + fetchMessages(); + }, [threadId]); - const updateMessages = useCallback(async ( - stream: AsyncGenerator> - ) => { - let sources: Source[] = [] - for await (const chunk of stream) { - if (chunk.event === "messages/partial") { - const chunkMessages = chunk.data as Message[]; - setMessages((prevMessages) => - mergeMessagesById( - prevMessages, - chunkMessages.map((message) => ({ ...message, sources })), - ), - ); - } else if (chunk.event === "values") { - const data = chunk.data as Record; - sources = getSources(data); + const updateMessages = useCallback( + async (stream: AsyncGenerator>) => { + let sources: Source[] = []; + for await (const chunk of stream) { + if (chunk.event === "messages/partial") { + const chunkMessages = chunk.data as Message[]; + setMessages((prevMessages) => + mergeMessagesById( + prevMessages, + chunkMessages.map((message) => ({ ...message, sources })), + ), + ); + } else if (chunk.event === "values") { + const data = chunk.data as Record; + sources = getSources(data); + } } - } - }, [threadId]) + }, + [threadId], + ); return useMemo( () => ({ updateMessages, messages, - setMessages + setMessages, }), [messages, updateMessages], ); -} \ No newline at end of file +} diff --git a/frontend/app/layout.tsx b/frontend/app/layout.tsx index b0814f710..99a4699f1 100644 --- a/frontend/app/layout.tsx +++ b/frontend/app/layout.tsx @@ -18,7 +18,7 @@ export default function RootLayout({
{children} diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx index 54e63835c..7d5e95222 100644 --- a/frontend/app/page.tsx +++ b/frontend/app/page.tsx @@ -10,15 +10,15 @@ import { LangGraphClientContext } from "./hooks/useLangGraphClient"; import { apiBaseUrl } from "./utils/constants"; export default function Home() { - const queryClient = new QueryClient() - const langGraphClient = new Client({ apiUrl: apiBaseUrl }) + const queryClient = new QueryClient(); + const langGraphClient = new Client({ apiUrl: apiBaseUrl }); return ( - - - - + + + + ); diff --git a/frontend/app/types.ts b/frontend/app/types.ts index b64833535..a78847cf1 100644 --- a/frontend/app/types.ts +++ b/frontend/app/types.ts @@ -20,4 +20,4 @@ export type Feedback = { key: string; score: number; comment?: string; -}; \ No newline at end of file +}; From d99a35c86689a7b2dba3b769f056be0abb0787cd Mon Sep 17 00:00:00 2001 From: vbarda Date: Sun, 26 May 2024 19:46:30 -0400 Subject: [PATCH 48/81] format --- frontend/app/components/ChatList.tsx | 64 ++++++++++++------------ frontend/app/components/ChatWindow.tsx | 63 +++++++++++++---------- frontend/app/components/EmptyState.tsx | 8 +-- frontend/app/hooks/useLangGraphClient.ts | 14 +++--- frontend/app/hooks/useStreamState.ts | 27 +++++----- frontend/app/hooks/useThread.ts | 12 ++--- frontend/app/hooks/useThreadList.ts | 34 ++++++------- frontend/app/hooks/useThreadMessages.ts | 17 ++++--- frontend/app/page.tsx | 12 ++--- frontend/app/types.ts | 2 +- 10 files changed, 129 insertions(+), 124 deletions(-) diff --git a/frontend/app/components/ChatList.tsx b/frontend/app/components/ChatList.tsx index 32d2cc5a1..23b10c550 100644 --- a/frontend/app/components/ChatList.tsx +++ b/frontend/app/components/ChatList.tsx @@ -2,7 +2,7 @@ import { Fragment } from "react"; import { Flex, List, ListItem, Spacer, Text } from "@chakra-ui/react"; -import { PlusSquareIcon } from "@chakra-ui/icons" +import { PlusSquareIcon } from "@chakra-ui/icons"; import { ThreadListProps } from "../hooks/useThreadList"; import { useThread } from "../hooks/useThread"; @@ -14,7 +14,7 @@ export function ChatList(props: { enterChat: (id: string | null) => void; deleteChat: (id: string) => void; }) { - const { currentThread } = useThread() + const { currentThread } = useThread(); return ( <> props.enterChat(null)} > - props.enterChat(null)}/> + props.enterChat(null)} /> New chat Your chats - { - props.threads?.map((thread, idx) => ( - - props.enterChat(thread.thread_id)} - onContextMenu={(e) => { - e.preventDefault(); - if (confirm("Delete chat?")) { - props.deleteChat(thread.thread_id) - } - }} - style={{width: "100%"}} - backgroundColor={currentThread?.thread_id === thread.thread_id ? "rgb(78,78,81)" : "rgb(58, 58, 61)"} - _hover={{ backgroundColor: "rgb(78,78,81)" }} - borderRadius={"8px"} - paddingLeft={"8px"} - paddingRight={"8px"} - > - - {thread.metadata?.["name"] as string ?? "New chat"} - - - { - idx !== (props.threads?.length ?? 0 - 1) && + {props.threads?.map((thread, idx) => ( + + props.enterChat(thread.thread_id)} + onContextMenu={(e) => { + e.preventDefault(); + if (confirm("Delete chat?")) { + props.deleteChat(thread.thread_id); + } + }} + style={{ width: "100%" }} + backgroundColor={ + currentThread?.thread_id === thread.thread_id + ? "rgb(78,78,81)" + : "rgb(58, 58, 61)" } - - )) - } + _hover={{ backgroundColor: "rgb(78,78,81)" }} + borderRadius={"8px"} + paddingLeft={"8px"} + paddingRight={"8px"} + > + + {(thread.metadata?.["name"] as string) ?? "New chat"} + + + {idx !== (props.threads?.length ?? 0 - 1) && ( + + )} + + ))} ); -} \ No newline at end of file +} diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index f714d55bb..40e1a4119 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -75,12 +75,16 @@ export function mergeMessagesById( } export function ChatWindow() { - const router = useRouter() + const router = useRouter(); const searchParams = useSearchParams(); - const { currentThread } = useThread() + const { currentThread } = useThread(); const { threads, createThread, updateThread, deleteThread } = useThreadList(); - const { stream, startStream, stopStream } = useStreamState() - const { refreshMessages, messages, setMessages } = useThreadMessages(currentThread?.thread_id ?? null, stream, stopStream); + const { stream, startStream, stopStream } = useStreamState(); + const { refreshMessages, messages, setMessages } = useThreadMessages( + currentThread?.thread_id ?? null, + stream, + stopStream, + ); const messageContainerRef = useRef(null); const [input, setInput] = useState(""); const [isLoading, setIsLoading] = useState(false); @@ -90,7 +94,7 @@ export function ChatWindow() { const [llmIsLoading, setLlmIsLoading] = useState(true); const [assistantId, setAssistantId] = useState(""); - const client = useLangGraphClient() + const client = useLangGraphClient(); const setLanggraphInfo = async () => { const assistantId = await getAssistantId(client); @@ -146,8 +150,11 @@ export function ChatWindow() { }; marked.setOptions({ renderer }); try { - const threadName = messageValue.length > 20 ? messageValue.slice(0, 20) + "..." : messageValue - await updateThread(currentThread["thread_id"], threadName) + const threadName = + messageValue.length > 20 + ? messageValue.slice(0, 20) + "..." + : messageValue; + await updateThread(currentThread["thread_id"], threadName); const llmDisplayName = llm ?? "openai_gpt_3_5_turbo"; await startStream( [formattedMessage], @@ -157,8 +164,8 @@ export function ChatWindow() { configurable: { model_name: llm }, tags: ["model:" + llmDisplayName], }, - ) - await refreshMessages() + ); + await refreshMessages(); setIsLoading(false); } catch (e) { setIsLoading(false); @@ -181,24 +188,21 @@ export function ChatWindow() { window.location.pathname + "?" + searchParams.toString(); - router.push(newUrl) + router.push(newUrl); }; - const selectChat = useCallback( - async (id: string | null) => { - if (currentThread) { - stopStream?.(true) - } + const selectChat = useCallback(async (id: string | null) => { + if (currentThread) { + stopStream?.(true); + } - if (!id) { - const thread = await createThread("New chat") - insertUrlParam("threadId", thread["thread_id"]) - } else { - insertUrlParam("threadId", id) - } - }, - [] - ); + if (!id) { + const thread = await createThread("New chat"); + insertUrlParam("threadId", thread["thread_id"]); + } else { + insertUrlParam("threadId", id); + } + }, []); return (
@@ -225,7 +229,12 @@ export function ChatWindow() { Chat LangChain šŸ¦œšŸ”— {messages.length > 0 ? ( - + We appreciate feedback! ) : ( @@ -257,7 +266,9 @@ export function ChatWindow() { width={"240px"} > - +
diff --git a/frontend/app/hooks/useThreadMessages.ts b/frontend/app/hooks/useThreadMessages.ts index e84332e78..87ae650b4 100644 --- a/frontend/app/hooks/useThreadMessages.ts +++ b/frontend/app/hooks/useThreadMessages.ts @@ -40,10 +40,12 @@ export function useThreadMessages( const client = useLangGraphClient(); const [messages, setMessages] = useState([]); const [next, setNext] = useState([]); + const [areMessagesLoading, setAreMessagesLoading] = useState(false); const prevStreamStatus = usePrevious(streamState?.status); const refreshMessages = useCallback(async () => { if (threadId) { + setAreMessagesLoading(true); const { values, next } = await client.threads.getState<{ messages: Message[]; documents: Document[]; @@ -54,6 +56,7 @@ export function useThreadMessages( ); setMessages(messages); setNext(next); + setAreMessagesLoading(false); } }, [threadId]); @@ -100,6 +103,7 @@ export function useThreadMessages( ), setMessages, next, + areMessagesLoading, }), [ messages, @@ -107,6 +111,7 @@ export function useThreadMessages( streamState?.documents, next, refreshMessages, + areMessagesLoading, ], ); } From ceff5ba137174cf84296b8e57e8af60602a9f90f Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 14:25:14 -0400 Subject: [PATCH 74/81] switch to invoke --- backend/graph.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/graph.py b/backend/graph.py index e9e043e25..fe44f694f 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -181,7 +181,7 @@ def retrieve_documents(state: AgentState) -> AgentState: retriever = get_retriever() messages = convert_to_messages(state["messages"]) query = messages[-1].content - relevant_documents = retriever.get_relevant_documents(query) + relevant_documents = retriever.invoke(query) return {"query": query, "documents": relevant_documents, "messages": []} From f089c57b7e51be355b869982077bbe7ec97e3839 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 15:08:04 -0400 Subject: [PATCH 75/81] randomize between gpt & claude --- frontend/app/components/ChatWindow.tsx | 3 --- 1 file changed, 3 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index c23f7a649..394293d4a 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -37,9 +37,6 @@ import { useLocalStorage } from "../hooks/useLocalStorage"; const MODEL_TYPES = [ "openai_gpt_3_5_turbo", "anthropic_claude_3_haiku", - "google_gemini_pro", - "fireworks_mixtral", - "cohere_command", ]; const defaultLlmValue = From 83c293a5af1ae83633a8067313666ea0f9cdce82 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 15:08:42 -0400 Subject: [PATCH 76/81] add a check for next.js preloading to avoid 'window' complaints --- frontend/app/hooks/useLocalStorage.ts | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/frontend/app/hooks/useLocalStorage.ts b/frontend/app/hooks/useLocalStorage.ts index fc4f71575..b3d8ce281 100644 --- a/frontend/app/hooks/useLocalStorage.ts +++ b/frontend/app/hooks/useLocalStorage.ts @@ -5,6 +5,10 @@ type StoredValue = string | string[] | Record | null; export function useLocalStorage(key: string, initialValue: StoredValue) { const [storedValue, setStoredValue] = useState(() => { try { + if (typeof window === "undefined") { + return + } + const item = window.localStorage.getItem(key); return item ? JSON.parse(item) : initialValue; } catch (error) { @@ -14,6 +18,10 @@ export function useLocalStorage(key: string, initialValue: StoredValue) { }); const setValue = (value: StoredValue) => { try { + if (typeof window === "undefined") { + return + } + setStoredValue(value); window.localStorage.setItem(key, JSON.stringify(value)); } catch (error) { From 986b592d2f7f7669ef8afa38f008977b23368cae Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 17:15:19 -0400 Subject: [PATCH 77/81] remove unnecessary update --- backend/graph.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/backend/graph.py b/backend/graph.py index fe44f694f..0ade3fbc1 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -182,7 +182,7 @@ def retrieve_documents(state: AgentState) -> AgentState: messages = convert_to_messages(state["messages"]) query = messages[-1].content relevant_documents = retriever.invoke(query) - return {"query": query, "documents": relevant_documents, "messages": []} + return {"query": query, "documents": relevant_documents} def retrieve_documents_with_chat_history(state: AgentState) -> AgentState: @@ -202,7 +202,7 @@ def retrieve_documents_with_chat_history(state: AgentState) -> AgentState: relevant_documents = retriever_with_condensed_question.invoke( {"question": query, "chat_history": get_chat_history(messages)} ) - return {"query": query, "documents": relevant_documents, "messages": []} + return {"query": query, "documents": relevant_documents} def route_to_retriever( From e9d3c00397eb0cd9d3b0c10585dd0d0e4f60375c Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 20:50:19 -0400 Subject: [PATCH 78/81] fix code formatting --- frontend/app/components/ChatMessageBubble.tsx | 42 +++++++++++++++++-- frontend/app/components/ChatWindow.tsx | 30 +------------ frontend/app/hooks/useLocalStorage.ts | 4 +- 3 files changed, 42 insertions(+), 34 deletions(-) diff --git a/frontend/app/components/ChatMessageBubble.tsx b/frontend/app/components/ChatMessageBubble.tsx index 08a712a44..50e4dc13f 100644 --- a/frontend/app/components/ChatMessageBubble.tsx +++ b/frontend/app/components/ChatMessageBubble.tsx @@ -3,8 +3,8 @@ import "react-toastify/dist/ReactToastify.css"; import { emojisplosion } from "emojisplosion"; import { useState, useRef } from "react"; import * as DOMPurify from "dompurify"; -import { SourceBubble } from "./SourceBubble"; -import { Message, Source, Feedback } from "../types"; +import { Renderer, marked } from "marked"; +import hljs from "highlight.js"; import { VStack, Flex, @@ -14,6 +14,9 @@ import { Button, Divider, } from "@chakra-ui/react"; + +import { SourceBubble } from "./SourceBubble"; +import { Message, Source, Feedback } from "../types"; import { sendFeedback } from "../utils/sendFeedback"; import { RESPONSE_FEEDBACK_KEY, SOURCE_CLICK_KEY } from "../utils/constants"; import { InlineCitation } from "./InlineCitation"; @@ -39,6 +42,30 @@ const filterSources = (sources: Source[]) => { return { filtered, indexMap }; }; +const getMarkedRenderer = () => { + let renderer = new Renderer(); + renderer.paragraph = (text) => { + return text + "\n"; + }; + renderer.list = (text) => { + return `${text}\n\n`; + }; + renderer.listitem = (text) => { + return `\nā€¢ ${text}`; + }; + renderer.code = (code, language) => { + const validLanguage = hljs.getLanguage(language || "") + ? language + : "plaintext"; + const highlightedCode = hljs.highlight( + validLanguage || "plaintext", + code, + ).value; + return `
${highlightedCode}
`; + }; + return renderer; +}; + const createAnswerElements = ( content: string, filteredSources: Source[], @@ -52,6 +79,9 @@ const createAnswerElements = ( const elements: JSX.Element[] = []; let prevIndex = 0; + const renderer = getMarkedRenderer(); + marked.setOptions({ renderer }); + matches.forEach((match) => { const sourceNum = parseInt(match[1], 10); const resolvedNum = sourceIndexMap.get(sourceNum) ?? 10; @@ -60,7 +90,9 @@ const createAnswerElements = ( , ); @@ -87,7 +119,9 @@ const createAnswerElements = ( , ); diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 394293d4a..837f83866 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -3,8 +3,6 @@ import React, { useCallback, useEffect, useRef, useState } from "react"; import { toast } from "react-toastify"; import { useRouter, useSearchParams } from "next/navigation"; -import { Renderer, marked } from "marked"; -import hljs from "highlight.js"; import "highlight.js/styles/gradient-dark.css"; import "react-toastify/dist/ReactToastify.css"; import { @@ -34,10 +32,7 @@ import { useLangGraphClient } from "../hooks/useLangGraphClient"; import { useStreamState } from "../hooks/useStreamState"; import { useLocalStorage } from "../hooks/useLocalStorage"; -const MODEL_TYPES = [ - "openai_gpt_3_5_turbo", - "anthropic_claude_3_haiku", -]; +const MODEL_TYPES = ["openai_gpt_3_5_turbo", "anthropic_claude_3_haiku"]; const defaultLlmValue = MODEL_TYPES[Math.floor(Math.random() * MODEL_TYPES.length)]; @@ -156,27 +151,6 @@ export function ChatWindow() { setMessages((prevMessages) => [...prevMessages, formattedMessage]); setIsLoading(true); - let renderer = new Renderer(); - renderer.paragraph = (text) => { - return text + "\n"; - }; - renderer.list = (text) => { - return `${text}\n\n`; - }; - renderer.listitem = (text) => { - return `\nā€¢ ${text}`; - }; - renderer.code = (code, language) => { - const validLanguage = hljs.getLanguage(language || "") - ? language - : "plaintext"; - const highlightedCode = hljs.highlight( - validLanguage || "plaintext", - code, - ).value; - return `
${highlightedCode}
`; - }; - marked.setOptions({ renderer }); try { await renameThread(messageValue); await startStream( @@ -280,7 +254,7 @@ export function ChatWindow() { height={"100%"} > {areMessagesLoading ? ( - + ) : ( { try { if (typeof window === "undefined") { - return + return; } const item = window.localStorage.getItem(key); @@ -19,7 +19,7 @@ export function useLocalStorage(key: string, initialValue: StoredValue) { const setValue = (value: StoredValue) => { try { if (typeof window === "undefined") { - return + return; } setStoredValue(value); From 3a8b74792002aa880ee4180fab82096eddd593e3 Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 20:59:44 -0400 Subject: [PATCH 79/81] small code format improvement --- frontend/app/components/ChatMessageBubble.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/frontend/app/components/ChatMessageBubble.tsx b/frontend/app/components/ChatMessageBubble.tsx index 50e4dc13f..3031e7943 100644 --- a/frontend/app/components/ChatMessageBubble.tsx +++ b/frontend/app/components/ChatMessageBubble.tsx @@ -91,7 +91,7 @@ const createAnswerElements = ( key={`content:${prevIndex}`} dangerouslySetInnerHTML={{ __html: DOMPurify.sanitize( - marked.parse(content.slice(prevIndex, match.index)).trim(), + marked.parse(content.slice(prevIndex, match.index)).trimEnd(), ), }} >, @@ -120,7 +120,7 @@ const createAnswerElements = ( key={`content:${prevIndex}`} dangerouslySetInnerHTML={{ __html: DOMPurify.sanitize( - marked.parse(content.slice(prevIndex)).trim(), + marked.parse(content.slice(prevIndex)).trimEnd(), ), }} >, From 728b74f1799f4417c0ec60d421b3829aa5ce4d2e Mon Sep 17 00:00:00 2001 From: vbarda Date: Wed, 29 May 2024 21:19:47 -0400 Subject: [PATCH 80/81] fix history propagation --- backend/graph.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/backend/graph.py b/backend/graph.py index 0ade3fbc1..5ddc2d3da 100644 --- a/backend/graph.py +++ b/backend/graph.py @@ -199,8 +199,10 @@ def retrieve_documents_with_chat_history(state: AgentState) -> AgentState: messages = convert_to_messages(state["messages"]) query = messages[-1].content retriever_with_condensed_question = condense_question_chain | retriever + # NOTE: we're ignoring the last message here, as it's going to contain the most recent + # query and we don't want that to be included in the chat history relevant_documents = retriever_with_condensed_question.invoke( - {"question": query, "chat_history": get_chat_history(messages)} + {"question": query, "chat_history": get_chat_history(messages[:-1])} ) return {"query": query, "documents": relevant_documents} @@ -241,7 +243,11 @@ def synthesize_response( { "question": state["query"], "context": format_docs(state["documents"]), - "chat_history": get_chat_history(convert_to_messages(state["messages"])), + # NOTE: we're ignoring the last message here, as it's going to contain the most recent + # query and we don't want that to be included in the chat history + "chat_history": get_chat_history( + convert_to_messages(state["messages"][:-1]) + ), } ) return { From 2b18336b7c618e201c4f161b065cfc15071704c4 Mon Sep 17 00:00:00 2001 From: vbarda Date: Thu, 30 May 2024 10:43:37 -0400 Subject: [PATCH 81/81] continue running the thread when switching chats --- frontend/app/components/ChatWindow.tsx | 28 +++++--- frontend/app/hooks/useStreamState.ts | 89 ++++++++++++++++--------- frontend/app/hooks/useThreadMessages.ts | 4 +- 3 files changed, 78 insertions(+), 43 deletions(-) diff --git a/frontend/app/components/ChatWindow.tsx b/frontend/app/components/ChatWindow.tsx index 837f83866..a96da1353 100644 --- a/frontend/app/components/ChatWindow.tsx +++ b/frontend/app/components/ChatWindow.tsx @@ -76,7 +76,11 @@ export function ChatWindow() { loadMoreThreads, areThreadsLoading, } = useThreadList(userId); - const { streamState, startStream, stopStream } = useStreamState(); + const { streamStates, startStream, stopStream } = useStreamState(); + const streamState = + currentThread == null + ? null + : streamStates[currentThread.thread_id] ?? null; const { refreshMessages, messages, setMessages, next, areMessagesLoading } = useThreadMessages( currentThread?.thread_id ?? null, @@ -203,10 +207,6 @@ export function ChatWindow() { const selectThread = useCallback( async (id: string | null) => { - if (currentThread) { - stopStream?.(true); - } - if (!id) { const thread = await createThread("New chat"); insertUrlParam("threadId", thread["thread_id"]); @@ -214,7 +214,7 @@ export function ChatWindow() { insertUrlParam("threadId", id); } }, - [currentThread, stopStream, setMessages, createThread, insertUrlParam], + [setMessages, createThread, insertUrlParam], ); const deleteThreadAndReset = async (id: string) => { @@ -338,11 +338,11 @@ export function ChatWindow() { className="flex flex-col-reverse w-full mb-2 overflow-auto max-h-[75vh]" ref={messageContainerRef} > - {messages.length > 0 ? ( + {messages.length > 0 && currentThread != null ? ( <> {next.length > 0 && - streamState?.status !== "inflight" && - currentThread != null && ( + streamStates[currentThread.thread_id]?.status !== + "inflight" && (