From cbbda36b9efa293410f5c905be74cf2aed59f9b5 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Thu, 24 Oct 2024 17:40:12 -0300 Subject: [PATCH 01/18] Migrate pydantic --- backend/app/api/assistants.py | 6 +- backend/app/api/runs.py | 10 +- backend/app/api/threads.py | 5 +- backend/app/auth/settings.py | 29 +++-- backend/app/tools.py | 161 ++++++++++-------------- backend/app/upload.py | 15 ++- tools/redis_to_postgres/migrate_data.py | 5 +- 7 files changed, 103 insertions(+), 128 deletions(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index b6f5ff0c9..4c7404b5c 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -14,9 +14,9 @@ class AssistantPayload(BaseModel): """Payload for creating an assistant.""" - name: str = Field(..., description="The name of the assistant.") - config: dict = Field(..., description="The assistant config.") - public: bool = Field(default=False, description="Whether the assistant is public.") + name: Annotated[str, Field(description="The name of the assistant.")] + config: Annotated[dict, Field(description="The assistant config.")] + public: Annotated[bool, Field(default=False, description="Whether the assistant is public.")] AssistantID = Annotated[str, Path(description="The ID of the assistant.")] diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 9300e9de9..191f0cc5c 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -4,7 +4,7 @@ import langsmith.client from fastapi import APIRouter, BackgroundTasks, HTTPException from fastapi.exceptions import RequestValidationError -from langchain.pydantic_v1 import ValidationError +from pydantic import ValidationError from langchain_core.messages import AnyMessage from langchain_core.runnables import RunnableConfig from langsmith.utils import tracing_is_enabled @@ -51,7 +51,7 @@ async def _run_input_and_config(payload: CreateRunPayload, user_id: str): try: if payload.input is not None: - agent.get_input_schema(config).validate(payload.input) + agent.get_input_schema(config)(**payload.input) except ValidationError as e: raise RequestValidationError(e.errors(), body=payload) @@ -84,19 +84,19 @@ async def stream_run( @router.get("/input_schema") async def input_schema() -> dict: """Return the input schema of the runnable.""" - return agent.get_input_schema().schema() + return agent.get_input_schema().model_json_schema() @router.get("/output_schema") async def output_schema() -> dict: """Return the output schema of the runnable.""" - return agent.get_output_schema().schema() + return agent.get_output_schema().model_json_schema() @router.get("/config_schema") async def config_schema() -> dict: """Return the config schema of the runnable.""" - return agent.config_schema().schema() + return agent.config_schema().model_json_schema() if tracing_is_enabled(): diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index e887791ad..32f829b33 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -17,9 +17,8 @@ class ThreadPutRequest(BaseModel): """Payload for creating a thread.""" - - name: str = Field(..., description="The name of the thread.") - assistant_id: str = Field(..., description="The ID of the assistant to use.") + name: Annotated[str, Field(description="The name of the thread.")] + assistant_id: Annotated[str, Field(description="The ID of the assistant to use.")] class ThreadPostRequest(BaseModel): diff --git a/backend/app/auth/settings.py b/backend/app/auth/settings.py index f41a260df..7ac7c3c05 100644 --- a/backend/app/auth/settings.py +++ b/backend/app/auth/settings.py @@ -1,9 +1,10 @@ import os from base64 import b64decode from enum import Enum -from typing import Optional, Union +from typing import Optional, Union, List -from pydantic import BaseSettings, root_validator, validator +from pydantic import ConfigDict, model_validator, field_validator +from pydantic_settings import BaseSettings class AuthType(Enum): @@ -16,12 +17,13 @@ class JWTSettingsBase(BaseSettings): iss: str aud: Union[str, list[str]] - @validator("aud", pre=True, always=True) - def set_aud(cls, v, values) -> Union[str, list[str]]: - return v.split(",") if "," in v else v - - class Config: - env_prefix = "jwt_" + @field_validator("aud", mode="before") + @classmethod + def set_aud(cls, v) -> Union[str, List[str]]: + if isinstance(v, str) and "," in v: + return v.split(",") + return v + model_config = ConfigDict(env_prefix="jwt_",) class JWTSettingsLocal(JWTSettingsBase): @@ -29,14 +31,18 @@ class JWTSettingsLocal(JWTSettingsBase): decode_key: str = None alg: str - @validator("decode_key", pre=True, always=True) + @field_validator("decode_key", mode="before") + @classmethod def set_decode_key(cls, v, values): """ Key may be a multiline string (e.g. in the case of a public key), so to be able to set it from env, we set it as a base64 encoded string and decode it here. """ - return b64decode(values["decode_key_b64"]).decode("utf-8") + decode_key_b64 = kwargs.get("decode_key_b64") + if decode_key_b64: + return b64decode(decode_key_b64).decode("utf-8") + return v class JWTSettingsOIDC(JWTSettingsBase): @@ -48,7 +54,8 @@ class Settings(BaseSettings): jwt_local: Optional[JWTSettingsLocal] = None jwt_oidc: Optional[JWTSettingsOIDC] = None - @root_validator(pre=True) + @model_validator(mode="before") + @classmethod def check_jwt_settings(cls, values): auth_type = values.get("auth_type") if auth_type == AuthType.JWT_LOCAL and values.get("jwt_local") is None: diff --git a/backend/app/tools.py b/backend/app/tools.py index cfc3e7133..eaf3d9fa8 100644 --- a/backend/app/tools.py +++ b/backend/app/tools.py @@ -1,8 +1,8 @@ from enum import Enum from functools import lru_cache -from typing import Optional +from typing import Annotated,Literal, Optional -from langchain.pydantic_v1 import BaseModel, Field +from pydantic import BaseModel, Field from langchain.tools.retriever import create_retriever_tool from langchain_community.agent_toolkits.connery import ConneryToolkit from langchain_community.retrievers.kay import KayAiRetriever @@ -22,26 +22,24 @@ from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper from langchain_core.tools import Tool -from langchain_robocorp import ActionServerToolkit from typing_extensions import TypedDict from app.upload import vstore - class DDGInput(BaseModel): - query: str = Field(description="search query to look up") + query: Annotated[str, Field(description="search query to look up")] class ArxivInput(BaseModel): - query: str = Field(description="search query to look up") + query: Annotated[str, Field(description="search query to look up")] class PythonREPLInput(BaseModel): - query: str = Field(description="python command to run") + query: Annotated[str, Field(description="python command to run")] class DallEInput(BaseModel): - query: str = Field(description="image description to generate image from") + query: Annotated[str, Field(description="image description to generate image from")] class AvailableTools(str, Enum): @@ -66,9 +64,9 @@ class ToolConfig(TypedDict): class BaseTool(BaseModel): type: AvailableTools - name: Optional[str] - description: Optional[str] - config: Optional[ToolConfig] + name: Optional[str] = None + description: Optional[str] = None + config: Optional[ToolConfig] = None multi_use: Optional[bool] = False @@ -78,125 +76,107 @@ class ActionServerConfig(ToolConfig): class ActionServer(BaseTool): - type: AvailableTools = Field(AvailableTools.ACTION_SERVER, const=True) - name: str = Field("Action Server by Sema4.ai", const=True) - description: str = Field( - ( + type: Literal[AvailableTools.ACTION_SERVER] = AvailableTools.ACTION_SERVER + name: Literal["Action Server by Sema4.ai"] = "Action Server by Sema4.ai" + description: Literal[( "Run AI actions with " "[Sema4.ai Action Server](https://github.com/Sema4AI/actions)." - ), - const=True, - ) + )] = ( + "Run AI actions with " + "[Sema4.ai Action Server](https://github.com/Sema4AI/actions)." + ) config: ActionServerConfig - multi_use: bool = Field(True, const=True) + multi_use: Literal[True] = True class Connery(BaseTool): - type: AvailableTools = Field(AvailableTools.CONNERY, const=True) - name: str = Field("AI Action Runner by Connery", const=True) - description: str = Field( - ( + type: Literal[AvailableTools.CONNERY] = AvailableTools.CONNERY + name: Literal["AI Action Runner by Connery"] = "AI Action Runner by Connery" + description: Literal[( "Connect OpenGPTs to the real world with " "[Connery](https://github.com/connery-io/connery)." - ), - const=True, - ) + )] = ( + "Connect OpenGPTs to the real world with " + "[Connery](https://github.com/connery-io/connery)." + ) class DDGSearch(BaseTool): - type: AvailableTools = Field(AvailableTools.DDG_SEARCH, const=True) - name: str = Field("DuckDuckGo Search", const=True) - description: str = Field( - "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/).", - const=True, - ) + type: Literal[AvailableTools.DDG_SEARCH] = AvailableTools.DDG_SEARCH + name: Literal["DuckDuckGo Search"] = "DuckDuckGo Search" + description: Literal["Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)."] = "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)." class Arxiv(BaseTool): - type: AvailableTools = Field(AvailableTools.ARXIV, const=True) - name: str = Field("Arxiv", const=True) - description: str = Field("Searches [Arxiv](https://arxiv.org/).", const=True) + type: Literal[AvailableTools.ARXIV] = AvailableTools.ARXIV + name: Literal["Arxiv"] = "Arxiv" + description: Literal["Searches [Arxiv](https://arxiv.org/)."] = "Searches [Arxiv](https://arxiv.org/)." class YouSearch(BaseTool): - type: AvailableTools = Field(AvailableTools.YOU_SEARCH, const=True) - name: str = Field("You.com Search", const=True) - description: str = Field( - "Uses [You.com](https://you.com/) search, optimized responses for LLMs.", - const=True, - ) + type: Literal[AvailableTools.YOU_SEARCH] = AvailableTools.YOU_SEARCH + name: Literal["You.com Search"] = "You.com Search" + description: Literal["Uses [You.com](https://you.com/) search, optimized responses for LLMs."] = "Uses [You.com](https://you.com/) search, optimized responses for LLMs." class SecFilings(BaseTool): - type: AvailableTools = Field(AvailableTools.SEC_FILINGS, const=True) - name: str = Field("SEC Filings (Kay.ai)", const=True) - description: str = Field( - "Searches through SEC filings using [Kay.ai](https://www.kay.ai/).", const=True - ) + type: Literal[AvailableTools.SEC_FILINGS] = AvailableTools.SEC_FILINGS + name: Literal["SEC Filings (Kay.ai)"] = "SEC Filings (Kay.ai)" + description: Literal["Searches through SEC filings using [Kay.ai](https://www.kay.ai/)."] = "Searches through SEC filings using [Kay.ai](https://www.kay.ai/)." class PressReleases(BaseTool): - type: AvailableTools = Field(AvailableTools.PRESS_RELEASES, const=True) - name: str = Field("Press Releases (Kay.ai)", const=True) - description: str = Field( - "Searches through press releases using [Kay.ai](https://www.kay.ai/).", - const=True, - ) + type: Literal[AvailableTools.PRESS_RELEASES] = AvailableTools.PRESS_RELEASES + name: Literal["Press Releases (Kay.ai)"] = "Press Releases (Kay.ai)" + description: Literal["Searches through press releases using [Kay.ai](https://www.kay.ai/)."] = "Searches through press releases using [Kay.ai](https://www.kay.ai/)." class PubMed(BaseTool): - type: AvailableTools = Field(AvailableTools.PUBMED, const=True) - name: str = Field("PubMed", const=True) - description: str = Field( - "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/).", const=True - ) + type: Literal[AvailableTools.PUBMED] = AvailableTools.PUBMED + name: Literal["PubMed"] = "PubMed" + description: Literal["Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)."] = "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)." class Wikipedia(BaseTool): - type: AvailableTools = Field(AvailableTools.WIKIPEDIA, const=True) - name: str = Field("Wikipedia", const=True) - description: str = Field( - "Searches [Wikipedia](https://pypi.org/project/wikipedia/).", const=True - ) + type: Literal[AvailableTools.WIKIPEDIA] = AvailableTools.WIKIPEDIA + name: Literal["Wikipedia"] = "Wikipedia" + description: Literal["Searches [Wikipedia](https://pypi.org/project/wikipedia/)."] = "Searches [Wikipedia](https://pypi.org/project/wikipedia/)." class Tavily(BaseTool): - type: AvailableTools = Field(AvailableTools.TAVILY, const=True) - name: str = Field("Search (Tavily)", const=True) - description: str = Field( - ( + type: Literal[AvailableTools.TAVILY] = AvailableTools.TAVILY + name: Literal["Search (Tavily)"] = "Search (Tavily)" + description: Literal[( "Uses the [Tavily](https://app.tavily.com/) search engine. " "Includes sources in the response." - ), - const=True, - ) + )] = ( + "Uses the [Tavily](https://app.tavily.com/) search engine. " + "Includes sources in the response." + ) class TavilyAnswer(BaseTool): - type: AvailableTools = Field(AvailableTools.TAVILY_ANSWER, const=True) - name: str = Field("Search (short answer, Tavily)", const=True) - description: str = Field( - ( + type: Literal[AvailableTools.TAVILY_ANSWER] = AvailableTools.TAVILY_ANSWER + name: Literal["Search (short answer, Tavily)"] = "Search (short answer, Tavily)" + description: Literal[( "Uses the [Tavily](https://app.tavily.com/) search engine. " "This returns only the answer, no supporting evidence." - ), - const=True, - ) + )] = ( + "Uses the [Tavily](https://app.tavily.com/) search engine. " + "This returns only the answer, no supporting evidence." + ) class Retrieval(BaseTool): - type: AvailableTools = Field(AvailableTools.RETRIEVAL, const=True) - name: str = Field("Retrieval", const=True) - description: str = Field("Look up information in uploaded files.", const=True) + type: Literal[AvailableTools.RETRIEVAL] = AvailableTools.RETRIEVAL + name: Literal["Retrieval"] = "Retrieval" + description: Literal["Look up information in uploaded files."] = "Look up information in uploaded files." class DallE(BaseTool): - type: AvailableTools = Field(AvailableTools.DALL_E, const=True) - name: str = Field("Generate Image (Dall-E)", const=True) - description: str = Field( - "Generates images from a text description using OpenAI's DALL-E model.", - const=True, - ) + type: Literal[AvailableTools.DALL_E] = AvailableTools.DALL_E + name: Literal["Generate Image (Dall-E)"] = "Generate Image (Dall-E)" + description: Literal["Generates images from a text description using OpenAI's DALL-E model."] = "Generates images from a text description using OpenAI's DALL-E model." RETRIEVAL_DESCRIPTION = """Can be used to look up information that was uploaded to this assistant. @@ -286,16 +266,6 @@ def _get_tavily_answer(): return _TavilyAnswer(api_wrapper=tavily_search, name="search_tavily_answer") -def _get_action_server(**kwargs: ActionServerConfig): - toolkit = ActionServerToolkit( - url=kwargs["url"], - api_key=kwargs["api_key"], - additional_headers=kwargs.get("additional_headers", {}), - ) - tools = toolkit.get_tools() - return tools - - @lru_cache(maxsize=1) def _get_connery_actions(): connery_service = ConneryService() @@ -314,7 +284,6 @@ def _get_dalle_tools(): TOOLS = { - AvailableTools.ACTION_SERVER: _get_action_server, AvailableTools.CONNERY: _get_connery_actions, AvailableTools.DDG_SEARCH: _get_duck_duck_go, AvailableTools.ARXIV: _get_arxiv, diff --git a/backend/app/upload.py b/backend/app/upload.py index e2dac7e96..fa1d25761 100644 --- a/backend/app/upload.py +++ b/backend/app/upload.py @@ -27,6 +27,8 @@ from app.ingest import ingest_blob from app.parsing import MIMETYPE_BASED_PARSER +from pydantic import ConfigDict + def _guess_mimetype(file_name: str, file_bytes: bytes) -> str: @@ -110,18 +112,15 @@ class IngestRunnable(RunnableSerializable[BinaryIO, List[str]]): """Runnable for ingesting files into a vectorstore.""" text_splitter: TextSplitter - """Text splitter to use for splitting the text into chunks.""" vectorstore: VectorStore - """Vectorstore to ingest into.""" - assistant_id: Optional[str] - thread_id: Optional[str] + assistant_id: Optional[str] = None + thread_id: Optional[str] = None """Ingested documents will be associated with assistant_id or thread_id. ID is used as the namespace, and is filtered on at query time. """ - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True) @property def namespace(self) -> str: @@ -161,12 +160,12 @@ def invoke(self, blob: Blob, config: Optional[RunnableConfig] = None) -> List[st ).configurable_fields( assistant_id=ConfigurableField( id="assistant_id", - annotation=str, + annotation=Optional[str], name="Assistant ID", ), thread_id=ConfigurableField( id="thread_id", - annotation=str, + annotation=Optional[str], name="Thread ID", ), ) diff --git a/tools/redis_to_postgres/migrate_data.py b/tools/redis_to_postgres/migrate_data.py index c8f576c54..8268dfff3 100644 --- a/tools/redis_to_postgres/migrate_data.py +++ b/tools/redis_to_postgres/migrate_data.py @@ -23,6 +23,8 @@ from app.checkpoint import PostgresCheckpoint from app.lifespan import get_pg_pool, lifespan from app.server import app +from pydantic import ConfigDict + logging.basicConfig( level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" @@ -52,8 +54,7 @@ def load(keys: list[str], values: list[bytes]) -> dict: class RedisCheckpoint(BaseCheckpointSaver): - class Config: - arbitrary_types_allowed = True + model_config = ConfigDict(arbitrary_types_allowed=True,) @property def config_specs(self) -> list[ConfigurableFieldSpec]: From 594d9cd0e48f0f0d23ec59327044fe7e546a2189 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Thu, 24 Oct 2024 17:46:14 -0300 Subject: [PATCH 02/18] Upgrade poetry --- backend/poetry.lock | 4901 +++++++++++++++++++++++----------------- backend/pyproject.toml | 20 +- 2 files changed, 2792 insertions(+), 2129 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index 44be31fac..f3c07fb6e 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,100 +1,127 @@ -# This file is automatically @generated by Poetry 1.8.2 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 = "aiohappyeyeballs" 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"^3.9.0,<3.12" -content-hash = "9443099007f4a98c41c79950b168bce998e50a6621a91d86fb92e123966b6616" +content-hash = "af69418d48881a28ecdf676c087f51f582ca035d9fb1b32d5d0c5b1c724e7386" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 87b9907af..81a9f61d0 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -17,11 +17,11 @@ fastapi = "^0.103.2" # langchain = { git = "git@github.com:langchain-ai/langchain.git/", branch = "nc/subclass-runnable-binding" , subdirectory = "libs/langchain"} orjson = "^3.9.10" python-multipart = "^0.0.6" -tiktoken = "^0.5.1" -langchain = ">=0.0.338" -langgraph = "^0.0.38" -pydantic = "<2.0" -langchain-openai = "^0.1.3" +tiktoken = "^0" +langchain = "^0.3" +langgraph = "^0.2" +pydantic = "^2" +langchain-openai = "^0.2" beautifulsoup4 = "^4.12.3" boto3 = "^1.34.28" duckduckgo-search = "^5.3.0" @@ -29,19 +29,19 @@ arxiv = "^2.1.0" kay = "^0.1.2" xmltodict = "^0.13.0" wikipedia = "^1.4.0" -langchain-google-vertexai = "^1.0.1" +langchain-google-vertexai = "^2.0" +langchain-google-community = "^2.0.1" setuptools = "^69.0.3" pdfminer-six = "^20231228" -langchain-robocorp = "^0.0.8" fireworks-ai = "^0.11.2" -httpx = { version = "0.25.2", extras = ["socks"] } +httpx = { version = "^0", extras = ["socks"] } unstructured = {extras = ["doc", "docx"], version = "^0.12.5"} pgvector = "^0.2.5" psycopg2-binary = "^2.9.9" asyncpg = "^0.29.0" -langchain-core = "^0.1.44" +langchain-core = "^0.3" pyjwt = {extras = ["crypto"], version = "^2.8.0"} -langchain-anthropic = "^0.1.8" +langchain-anthropic = "^0.2" structlog = "^24.1.0" python-json-logger = "^2.0.7" From 9e3bbd4b6b3346ec7a3e0d0ff9362bd73ef9b433 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Wed, 13 Nov 2024 23:23:30 -0300 Subject: [PATCH 03/18] Adapt to manage checkpoint using an AstncSaver --- backend/app/agent.py | 19 +- backend/app/agent_types/tools_agent.py | 2 +- backend/app/api/assistants.py | 10 +- backend/app/api/runs.py | 16 +- backend/app/api/threads.py | 28 +- backend/app/checkpoint.py | 184 +--- backend/app/lifespan.py | 2 + backend/app/schema.py | 16 +- backend/app/storage.py | 92 +- backend/poetry.lock | 1285 +++++++++++------------- backend/pyproject.toml | 3 +- 11 files changed, 717 insertions(+), 940 deletions(-) diff --git a/backend/app/agent.py b/backend/app/agent.py index f14cb2061..6ff2ab550 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -1,4 +1,3 @@ -import pickle from enum import Enum from typing import Any, Dict, Mapping, Optional, Sequence, Union @@ -7,14 +6,13 @@ ConfigurableField, RunnableBinding, ) -from langgraph.checkpoint import CheckpointAt from langgraph.graph.message import Messages from langgraph.pregel import Pregel from app.agent_types.tools_agent import get_tools_agent_executor from app.agent_types.xml_agent import get_xml_agent_executor from app.chatbot import get_chatbot_executor -from app.checkpoint import PostgresCheckpoint +from app.checkpoint import AsyncPostgresCheckpoint from app.llms import ( get_anthropic_llm, get_google_llm, @@ -74,7 +72,7 @@ class AgentType(str, Enum): DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." -CHECKPOINTER = PostgresCheckpoint(serde=pickle, at=CheckpointAt.END_OF_STEP) +CHECKPOINTER = AsyncPostgresCheckpoint().get_instance() def get_agent_executor( @@ -123,7 +121,6 @@ def get_agent_executor( return get_tools_agent_executor( tools, llm, system_message, interrupt_before_action, CHECKPOINTER ) - else: raise ValueError("Unexpected agent type") @@ -135,7 +132,7 @@ class ConfigurableAgent(RunnableBinding): retrieval_description: str = RETRIEVAL_DESCRIPTION interrupt_before_action: bool = False assistant_id: Optional[str] = None - thread_id: Optional[str] = None + thread_id: Optional[str] = '' user_id: Optional[str] = None def __init__( @@ -145,7 +142,7 @@ def __init__( agent: AgentType = AgentType.GPT_35_TURBO, system_message: str = DEFAULT_SYSTEM_MESSAGE, assistant_id: Optional[str] = None, - thread_id: Optional[str] = None, + thread_id: Optional[str] = '', retrieval_description: str = RETRIEVAL_DESCRIPTION, interrupt_before_action: bool = False, kwargs: Optional[Mapping[str, Any]] = None, @@ -204,7 +201,7 @@ def get_chatbot( if llm_type == LLMType.GPT_35_TURBO: llm = get_openai_llm() elif llm_type == LLMType.GPT_4: - llm = get_openai_llm(gpt_4=True) + llm = get_openai_llm(model="gpt-4") elif llm_type == LLMType.AZURE_OPENAI: llm = get_openai_llm(azure=True) elif llm_type == LLMType.CLAUDE2: @@ -265,7 +262,7 @@ class ConfigurableRetrieval(RunnableBinding): llm_type: LLMType system_message: str = DEFAULT_SYSTEM_MESSAGE assistant_id: Optional[str] = None - thread_id: Optional[str] = None + thread_id: Optional[str] = '' user_id: Optional[str] = None def __init__( @@ -274,7 +271,7 @@ def __init__( llm_type: LLMType = LLMType.GPT_35_TURBO, system_message: str = DEFAULT_SYSTEM_MESSAGE, assistant_id: Optional[str] = None, - thread_id: Optional[str] = None, + thread_id: Optional[str] = '', kwargs: Optional[Mapping[str, Any]] = None, config: Optional[Mapping[str, Any]] = None, **others: Any, @@ -335,7 +332,7 @@ def __init__( system_message=DEFAULT_SYSTEM_MESSAGE, retrieval_description=RETRIEVAL_DESCRIPTION, assistant_id=None, - thread_id=None, + thread_id='', ) .configurable_fields( agent=ConfigurableField(id="agent_type", name="Agent Type"), diff --git a/backend/app/agent_types/tools_agent.py b/backend/app/agent_types/tools_agent.py index ab0ae1335..fe6dad8d5 100644 --- a/backend/app/agent_types/tools_agent.py +++ b/backend/app/agent_types/tools_agent.py @@ -28,7 +28,7 @@ async def _get_messages(messages): msgs = [] for m in messages: if isinstance(m, LiberalToolMessage): - _dict = m.dict() + _dict = m.model_dump() _dict["content"] = str(_dict["content"]) m_c = ToolMessage(**_dict) msgs.append(m_c) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index 4c7404b5c..fe209ce98 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -25,7 +25,7 @@ class AssistantPayload(BaseModel): @router.get("/") async def list_assistants(user: AuthedUser) -> List[Assistant]: """List all assistants for the current user.""" - return await storage.list_assistants(user["user_id"]) + return await storage.list_assistants(user.user_id) @router.get("/public/") @@ -40,7 +40,7 @@ async def get_assistant( aid: AssistantID, ) -> Assistant: """Get an assistant by ID.""" - assistant = await storage.get_assistant(user["user_id"], aid) + assistant = await storage.get_assistant(user.user_id, aid) if not assistant: raise HTTPException(status_code=404, detail="Assistant not found") return assistant @@ -53,7 +53,7 @@ async def create_assistant( ) -> Assistant: """Create an assistant.""" return await storage.put_assistant( - user["user_id"], + user.user_id, str(uuid4()), name=payload.name, config=payload.config, @@ -69,7 +69,7 @@ async def upsert_assistant( ) -> Assistant: """Create or update an assistant.""" return await storage.put_assistant( - user["user_id"], + user.user_id, aid, name=payload.name, config=payload.config, @@ -83,5 +83,5 @@ async def delete_assistant( aid: AssistantID, ): """Delete an assistant by ID.""" - await storage.delete_assistant(user["user_id"], aid) + await storage.delete_assistant(user.user_id, aid) return {"status": "ok"} diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 191f0cc5c..120ce17a4 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -34,24 +34,24 @@ async def _run_input_and_config(payload: CreateRunPayload, user_id: str): if not thread: raise HTTPException(status_code=404, detail="Thread not found") - assistant = await get_assistant(user_id, str(thread["assistant_id"])) + assistant = await get_assistant(user_id, str(thread.assistant_id)) if not assistant: raise HTTPException(status_code=404, detail="Assistant not found") config: RunnableConfig = { - **assistant["config"], + **assistant.config, "configurable": { - **assistant["config"]["configurable"], + **assistant.config["configurable"], **((payload.config or {}).get("configurable") or {}), "user_id": user_id, - "thread_id": str(thread["thread_id"]), - "assistant_id": str(assistant["assistant_id"]), + "thread_id": str(thread.thread_id), + "assistant_id": str(assistant.assistant_id), }, } try: if payload.input is not None: - agent.get_input_schema(config)(**payload.input) + agent.get_input_schema(config).model_validate(payload.input) except ValidationError as e: raise RequestValidationError(e.errors(), body=payload) @@ -65,7 +65,7 @@ async def create_run( background_tasks: BackgroundTasks, ): """Create a run.""" - input_, config = await _run_input_and_config(payload, user["user_id"]) + input_, config = await _run_input_and_config(payload, user.user_id) background_tasks.add_task(agent.ainvoke, input_, config) return {"status": "ok"} # TODO add a run id @@ -76,7 +76,7 @@ async def stream_run( user: AuthedUser, ): """Create a run.""" - input_, config = await _run_input_and_config(payload, user["user_id"]) + input_, config = await _run_input_and_config(payload, user.user_id) return EventSourceResponse(to_sse(astream_state(agent, input_, config))) diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 32f829b33..470e29eb8 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -31,7 +31,7 @@ class ThreadPostRequest(BaseModel): @router.get("/") async def list_threads(user: AuthedUser) -> List[Thread]: """List all threads for the current user.""" - return await storage.list_threads(user["user_id"]) + return await storage.list_threads(user.user_id) @router.get("/{tid}/state") @@ -40,14 +40,14 @@ async def get_thread_state( tid: ThreadID, ): """Get state for a thread.""" - thread = await storage.get_thread(user["user_id"], tid) + thread = await storage.get_thread(user.user_id, tid) if not thread: raise HTTPException(status_code=404, detail="Thread not found") - assistant = await storage.get_assistant(user["user_id"], thread["assistant_id"]) + assistant = await storage.get_assistant(user.user_id, thread.assistant_id) if not assistant: raise HTTPException(status_code=400, detail="Thread has no assistant") return await storage.get_thread_state( - user_id=user["user_id"], + user_id=user.user_id, thread_id=tid, assistant=assistant, ) @@ -60,16 +60,16 @@ async def add_thread_state( payload: ThreadPostRequest, ): """Add state to a thread.""" - thread = await storage.get_thread(user["user_id"], tid) + thread = await storage.get_thread(user.user_id, tid) if not thread: raise HTTPException(status_code=404, detail="Thread not found") - assistant = await storage.get_assistant(user["user_id"], thread["assistant_id"]) + assistant = await storage.get_assistant(user.user_id, thread.assistant_id) if not assistant: raise HTTPException(status_code=400, detail="Thread has no assistant") return await storage.update_thread_state( payload.config or {"configurable": {"thread_id": tid}}, payload.values, - user_id=user["user_id"], + user_id=user.user_id, assistant=assistant, ) @@ -80,14 +80,14 @@ async def get_thread_history( tid: ThreadID, ): """Get all past states for a thread.""" - thread = await storage.get_thread(user["user_id"], tid) + thread = await storage.get_thread(user.user_id, tid) if not thread: raise HTTPException(status_code=404, detail="Thread not found") - assistant = await storage.get_assistant(user["user_id"], thread["assistant_id"]) + assistant = await storage.get_assistant(user.user_id, thread.assistant_id) if not assistant: raise HTTPException(status_code=400, detail="Thread has no assistant") return await storage.get_thread_history( - user_id=user["user_id"], + user_id=user.user_id, thread_id=tid, assistant=assistant, ) @@ -99,7 +99,7 @@ async def get_thread( tid: ThreadID, ) -> Thread: """Get a thread by ID.""" - thread = await storage.get_thread(user["user_id"], tid) + thread = await storage.get_thread(user.user_id, tid) if not thread: raise HTTPException(status_code=404, detail="Thread not found") return thread @@ -112,7 +112,7 @@ async def create_thread( ) -> Thread: """Create a thread.""" return await storage.put_thread( - user["user_id"], + user.user_id, str(uuid4()), assistant_id=thread_put_request.assistant_id, name=thread_put_request.name, @@ -127,7 +127,7 @@ async def upsert_thread( ) -> Thread: """Update a thread.""" return await storage.put_thread( - user["user_id"], + user.user_id, tid, assistant_id=thread_put_request.assistant_id, name=thread_put_request.name, @@ -140,5 +140,5 @@ async def delete_thread( tid: ThreadID, ): """Delete a thread by ID.""" - await storage.delete_thread(user["user_id"], tid) + await storage.delete_thread(user.user_id, tid) return {"status": "ok"} diff --git a/backend/app/checkpoint.py b/backend/app/checkpoint.py index e90064bcf..b8d1e43bf 100644 --- a/backend/app/checkpoint.py +++ b/backend/app/checkpoint.py @@ -1,147 +1,39 @@ -import pickle -from datetime import datetime -from typing import AsyncIterator, Optional - -from langchain_core.messages import BaseMessage -from langchain_core.runnables import ConfigurableFieldSpec, RunnableConfig -from langgraph.checkpoint.base import BaseCheckpointSaver -from langgraph.checkpoint.base import ( - Checkpoint, - CheckpointAt, - CheckpointThreadTs, - CheckpointTuple, - SerializerProtocol, -) - -from app.lifespan import get_pg_pool - - -def loads(value: bytes) -> Checkpoint: - loaded: Checkpoint = pickle.loads(value) - for key, value in loaded["channel_values"].items(): - if isinstance(value, list) and all(isinstance(v, BaseMessage) for v in value): - loaded["channel_values"][key] = [v.__class__(**v.__dict__) for v in value] - return loaded - - -class PostgresCheckpoint(BaseCheckpointSaver): - def __init__( - self, - *, - serde: Optional[SerializerProtocol] = None, - at: Optional[CheckpointAt] = None, - ) -> None: - super().__init__(serde=serde, at=at) - - @property - def config_specs(self) -> list[ConfigurableFieldSpec]: - return [ - ConfigurableFieldSpec( - id="thread_id", - annotation=Optional[str], - name="Thread ID", - description=None, - default=None, - is_shared=True, - ), - CheckpointThreadTs, - ] - - def get(self, config: RunnableConfig) -> Optional[Checkpoint]: - raise NotImplementedError - - def put(self, config: RunnableConfig, checkpoint: Checkpoint) -> RunnableConfig: - raise NotImplementedError - - async def alist(self, config: RunnableConfig) -> AsyncIterator[CheckpointTuple]: - async with get_pg_pool().acquire() as db, db.transaction(): - thread_id = config["configurable"]["thread_id"] - async for value in db.cursor( - "SELECT checkpoint, thread_ts, parent_ts FROM checkpoints WHERE thread_id = $1 ORDER BY thread_ts DESC", - thread_id, - ): - yield CheckpointTuple( - { - "configurable": { - "thread_id": thread_id, - "thread_ts": value[1], - } - }, - loads(value[0]), - { - "configurable": { - "thread_id": thread_id, - "thread_ts": value[2], - } - } - if value[2] - else None, - ) - - async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]: - thread_id = config["configurable"]["thread_id"] - thread_ts = config["configurable"].get("thread_ts") - async with get_pg_pool().acquire() as conn: - if thread_ts: - if value := await conn.fetchrow( - "SELECT checkpoint, parent_ts FROM checkpoints WHERE thread_id = $1 AND thread_ts = $2", - thread_id, - datetime.fromisoformat(thread_ts), - ): - return CheckpointTuple( - config, - loads(value[0]), - { - "configurable": { - "thread_id": thread_id, - "thread_ts": value[1], - } - } - if value[1] - else None, - ) - else: - if value := await conn.fetchrow( - "SELECT checkpoint, thread_ts, parent_ts FROM checkpoints WHERE thread_id = $1 ORDER BY thread_ts DESC LIMIT 1", - thread_id, - ): - return CheckpointTuple( - { - "configurable": { - "thread_id": thread_id, - "thread_ts": value[1], - } - }, - loads(value[0]), - { - "configurable": { - "thread_id": thread_id, - "thread_ts": value[2], - } - } - if value[2] - else None, - ) - - async def aput(self, config: RunnableConfig, checkpoint: Checkpoint) -> None: - thread_id = config["configurable"]["thread_id"] - async with get_pg_pool().acquire() as conn: - await conn.execute( - """ - INSERT INTO checkpoints (thread_id, thread_ts, parent_ts, checkpoint) - VALUES ($1, $2, $3, $4) - ON CONFLICT (thread_id, thread_ts) - DO UPDATE SET checkpoint = EXCLUDED.checkpoint;""", - thread_id, - datetime.fromisoformat(checkpoint["ts"]), - datetime.fromisoformat(checkpoint.get("parent_ts")) - if checkpoint.get("parent_ts") - else None, - pickle.dumps(checkpoint), +import os +import structlog +from typing import Optional +from psycopg_pool import AsyncConnectionPool +from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver + +logger = structlog.get_logger(__name__) + +class AsyncPostgresCheckpoint: + _instance: Optional[AsyncPostgresSaver] = None + _initialized: bool = False + + @classmethod + def get_instance(cls) -> AsyncPostgresSaver: + if cls._instance is None: + conninfo = ( + f"postgresql://{os.environ['POSTGRES_USER']}:" + f"{os.environ['POSTGRES_PASSWORD']}@" + f"{os.environ['POSTGRES_HOST']}:" + f"{os.environ['POSTGRES_PORT']}/" + f"{os.environ['POSTGRES_DB']}" + ) + _async_pool = AsyncConnectionPool( + conninfo=conninfo, + kwargs={"autocommit": True, "prepare_threshold": 0}, ) - return { - "configurable": { - "thread_id": thread_id, - "thread_ts": checkpoint["ts"], - } - } + cls._instance = AsyncPostgresSaver(_async_pool) + return cls._instance + + @classmethod + async def setup_async(cls) -> None: + """Asynchronously sets up the checkpoint.""" + cls.get_instance() # Ensure the instance is created + if not cls._initialized: + logger.info("Setting up the checkpoint asynchronously...") + await cls._instance.setup() + logger.info("Checkpoint setup complete.") + cls._initialized = True + diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index 9fd47fd2c..415d9421f 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -5,6 +5,7 @@ import orjson import structlog from fastapi import FastAPI +from app.checkpoint import AsyncPostgresCheckpoint _pg_pool = None @@ -56,6 +57,7 @@ async def lifespan(app: FastAPI): port=os.environ["POSTGRES_PORT"], init=_init_connection, ) + await AsyncPostgresCheckpoint.setup_async() yield await _pg_pool.close() _pg_pool = None diff --git a/backend/app/schema.py b/backend/app/schema.py index 3ae6e5953..0280c46dd 100644 --- a/backend/app/schema.py +++ b/backend/app/schema.py @@ -1,10 +1,10 @@ from datetime import datetime from typing import Optional -from typing_extensions import TypedDict +from pydantic import BaseModel -class User(TypedDict): +class User(BaseModel): user_id: str """The ID of the user.""" sub: str @@ -13,9 +13,7 @@ class User(TypedDict): """The time the user was created.""" -class Assistant(TypedDict): - """Assistant model.""" - +class Assistant(BaseModel): assistant_id: str """The ID of the assistant.""" user_id: str @@ -26,19 +24,19 @@ class Assistant(TypedDict): """The assistant config.""" updated_at: datetime """The last time the assistant was updated.""" - public: bool + public: bool = False """Whether the assistant is public.""" -class Thread(TypedDict): +class Thread(BaseModel): thread_id: str """The ID of the thread.""" user_id: str """The ID of the user that owns the thread.""" - assistant_id: Optional[str] + assistant_id: Optional[str] = None """The assistant that was used in conjunction with this thread.""" name: str """The name of the thread.""" updated_at: datetime """The last time the thread was updated.""" - metadata: Optional[dict] + metadata: Optional[dict] = None diff --git a/backend/app/storage.py b/backend/app/storage.py index 17b6aebc9..6181d40f2 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -12,23 +12,27 @@ async def list_assistants(user_id: str) -> List[Assistant]: """List all assistants for the current user.""" async with get_pg_pool().acquire() as conn: - return await conn.fetch("SELECT * FROM assistant WHERE user_id = $1", user_id) - + records = await conn.fetch("SELECT * FROM assistant WHERE user_id = $1", user_id) + return [Assistant(**record) for record in records] async def get_assistant(user_id: str, assistant_id: str) -> Optional[Assistant]: """Get an assistant by ID.""" async with get_pg_pool().acquire() as conn: - return await conn.fetchrow( + record = await conn.fetchrow( "SELECT * FROM assistant WHERE assistant_id = $1 AND (user_id = $2 OR public IS true)", assistant_id, user_id, ) + if record is None: + return None + return Assistant(**record) async def list_public_assistants() -> List[Assistant]: """List all the public assistants.""" async with get_pg_pool().acquire() as conn: - return await conn.fetch(("SELECT * FROM assistant WHERE public IS true;")) + records = await conn.fetch("SELECT * FROM assistant WHERE public IS true") + return [Assistant(**record) for record in records] async def put_assistant( @@ -66,14 +70,14 @@ async def put_assistant( updated_at, public, ) - return { - "assistant_id": assistant_id, - "user_id": user_id, - "name": name, - "config": config, - "updated_at": updated_at, - "public": public, - } + return Assistant( + assistant_id=assistant_id, + user_id=user_id, + name=name, + config=config, + updated_at=updated_at, + public=public, + ) async def delete_assistant(user_id: str, assistant_id: str) -> None: @@ -89,17 +93,23 @@ async def delete_assistant(user_id: str, assistant_id: str) -> None: async def list_threads(user_id: str) -> List[Thread]: """List all threads for the current user.""" async with get_pg_pool().acquire() as conn: - return await conn.fetch("SELECT * FROM thread WHERE user_id = $1", user_id) + records = await conn.fetch("SELECT * FROM thread WHERE user_id = $1", user_id) + return [ + Thread(**record) for record in records + ] async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: """Get a thread by ID.""" async with get_pg_pool().acquire() as conn: - return await conn.fetchrow( + record = await conn.fetchrow( "SELECT * FROM thread WHERE thread_id = $1 AND user_id = $2", thread_id, user_id, ) + if record is None: + return None + return Thread(**record) async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant): @@ -107,9 +117,9 @@ async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant state = await agent.aget_state( { "configurable": { - **assistant["config"]["configurable"], + **assistant.config["configurable"], "thread_id": thread_id, - "assistant_id": assistant["assistant_id"], + "assistant_id": assistant.assistant_id, } } ) @@ -130,9 +140,9 @@ async def update_thread_state( await agent.aupdate_state( { "configurable": { - **assistant["config"]["configurable"], + **assistant.config["configurable"], **config["configurable"], - "assistant_id": assistant["assistant_id"], + "assistant_id": assistant.assistant_id, } }, values, @@ -151,14 +161,30 @@ async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assista async for c in agent.aget_state_history( { "configurable": { - **assistant["config"]["configurable"], + **assistant.config["configurable"], "thread_id": thread_id, - "assistant_id": assistant["assistant_id"], + "assistant_id": assistant.assistant_id, } } ) ] +def get_assistant_type(config: dict) -> str: + """Extract assistant type from config, handling both old and new formats.""" + configurable = config.get("configurable", {}) + + # First try direct type key (old format) + if "type" in configurable: + return configurable["type"] + + # Then try type== prefix (new format) + type_keys = [k for k in configurable.keys() if k.startswith("type==")] + if type_keys: + # Get the first type== key and extract the type (before the /) + return type_keys[0].split("/")[0].replace("type==", "") + + # Default fallback + return "chatbot" async def put_thread( user_id: str, thread_id: str, *, assistant_id: str, name: str @@ -167,7 +193,7 @@ async def put_thread( updated_at = datetime.now(timezone.utc) assistant = await get_assistant(user_id, assistant_id) metadata = ( - {"assistant_type": assistant["config"]["configurable"]["type"]} + {"assistant_type": get_assistant_type(assistant.config)} if assistant else None ) @@ -189,14 +215,14 @@ async def put_thread( updated_at, metadata, ) - return { - "thread_id": thread_id, - "user_id": user_id, - "assistant_id": assistant_id, - "name": name, - "updated_at": updated_at, - "metadata": metadata, - } + return Thread( + thread_id=thread_id, + user_id=user_id, + assistant_id=assistant_id, + name=name, + updated_at=updated_at, + metadata=metadata, + ) async def delete_thread(user_id: str, thread_id: str): @@ -212,9 +238,9 @@ async def delete_thread(user_id: str, thread_id: str): async def get_or_create_user(sub: str) -> tuple[User, bool]: """Returns a tuple of the user and a boolean indicating whether the user was created.""" async with get_pg_pool().acquire() as conn: - if user := await conn.fetchrow('SELECT * FROM "user" WHERE sub = $1', sub): - return user, False - user = await conn.fetchrow( + if record := await conn.fetchrow('SELECT * FROM "user" WHERE sub = $1', sub): + return User(**record), False + record = await conn.fetchrow( 'INSERT INTO "user" (sub) VALUES ($1) RETURNING *', sub ) - return user, True + return User(**record), True diff --git a/backend/poetry.lock b/backend/poetry.lock index f3c07fb6e..fcf3d8141 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -150,13 +150,13 @@ files = [ [[package]] name = "anthropic" -version = "0.37.1" +version = "0.39.0" description = "The official Python library for the anthropic API" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anthropic-0.37.1-py3-none-any.whl", hash = "sha256:8f550f88906823752e2abf99fbe491fbc8d40bce4cb26b9663abdf7be990d721"}, - {file = "anthropic-0.37.1.tar.gz", hash = "sha256:99f688265795daa7ba9256ee68eaf2f05d53cd99d7417f4a0c2dc292c106d00a"}, + {file = "anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09"}, + {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"}, ] [package.dependencies] @@ -166,7 +166,6 @@ httpx = ">=0.23.0,<1" jiter = ">=0.4.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" -tokenizers = ">=0.13.0" typing-extensions = ">=4.7,<5" [package.extras] @@ -330,17 +329,17 @@ lxml = ["lxml"] [[package]] name = "boto3" -version = "1.35.48" +version = "1.35.57" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.48-py3-none-any.whl", hash = "sha256:60889bb6e21f0af662ac9404e00125d3b8a5808f190e89462e5ddf73604adfc1"}, - {file = "boto3-1.35.48.tar.gz", hash = "sha256:5007a5cdd09e4db9309adf2ee090455a34ae639bd10a68a1fefca72cd77070fc"}, + {file = "boto3-1.35.57-py3-none-any.whl", hash = "sha256:9edf49640c79a05b0a72f4c2d1e24dfc164344b680535a645f455ac624dc3680"}, + {file = "boto3-1.35.57.tar.gz", hash = "sha256:db58348849a5af061f0f5ec9c3b699da5221ca83354059fdccb798e3ddb6b62a"}, ] [package.dependencies] -botocore = ">=1.35.48,<1.36.0" +botocore = ">=1.35.57,<1.36.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -349,13 +348,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.48" +version = "1.35.57" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.35.48-py3-none-any.whl", hash = "sha256:34fa25fd717208b05745e60f271a39636108fa87a3512fbca18e7e6f787a3239"}, - {file = "botocore-1.35.48.tar.gz", hash = "sha256:3e766cc251053c9ef98542fdf225381ed58531769c3811a6282bd7247f7e2bdf"}, + {file = "botocore-1.35.57-py3-none-any.whl", hash = "sha256:92ddd02469213766872cb2399269dd20948f90348b42bf08379881d5e946cc34"}, + {file = "botocore-1.35.57.tar.gz", hash = "sha256:d96306558085baf0bcb3b022d7a8c39c93494f031edb376694d2b2dcd0e81327"}, ] [package.dependencies] @@ -963,22 +962,6 @@ files = [ [package.dependencies] sgmllib3k = "*" -[[package]] -name = "filelock" -version = "3.16.1" -description = "A platform independent file lock." -optional = false -python-versions = ">=3.8" -files = [ - {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"}, - {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"}, -] - -[package.extras] -docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"] -typing = ["typing-extensions (>=4.12.2)"] - [[package]] name = "filetype" version = "1.2.0" @@ -1108,54 +1091,15 @@ files = [ {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"}, ] -[[package]] -name = "fsspec" -version = "2024.10.0" -description = "File-system specification" -optional = false -python-versions = ">=3.8" -files = [ - {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"}, - {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"}, -] - -[package.extras] -abfs = ["adlfs"] -adl = ["adlfs"] -arrow = ["pyarrow (>=1)"] -dask = ["dask", "distributed"] -dev = ["pre-commit", "ruff"] -doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"] -dropbox = ["dropbox", "dropboxdrivefs", "requests"] -full = ["adlfs", "aiohttp 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"gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"] -tqdm = ["tqdm"] - [[package]] name = "google-api-core" -version = "2.21.0" +version = "2.22.0" description = "Google API client core library" optional = false python-versions = ">=3.7" files = [ - {file = "google_api_core-2.21.0-py3-none-any.whl", hash = "sha256:6869eacb2a37720380ba5898312af79a4d30b8bca1548fb4093e0697dc4bdf5d"}, - {file = "google_api_core-2.21.0.tar.gz", hash = "sha256:4a152fd11a9f774ea606388d423b68aa7e6d6a0ffe4c8266f74979613ec09f81"}, + {file = "google_api_core-2.22.0-py3-none-any.whl", hash = "sha256:a6652b6bd51303902494998626653671703c420f6f4c88cfd3f50ed723e9d021"}, + {file = 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[package.dependencies] @@ -1199,13 +1143,13 @@ uritemplate = ">=3.0.1,<5" [[package]] name = "google-auth" -version = "2.35.0" +version = "2.36.0" description = "Google Authentication Library" optional = false python-versions = ">=3.7" files = [ - {file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"}, - {file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"}, + {file = "google_auth-2.36.0-py2.py3-none-any.whl", hash = "sha256:51a15d47028b66fd36e5c64a82d2d57480075bccc7da37cde257fc94177a61fb"}, + {file = "google_auth-2.36.0.tar.gz", hash = "sha256:545e9618f2df0bcbb7dcbc45a546485b1212624716975a1ea5ae8149ce769ab1"}, ] [package.dependencies] @@ -1237,13 +1181,13 @@ httplib2 = ">=0.19.0" [[package]] name = "google-cloud-aiplatform" -version = "1.70.0" +version = "1.71.1" description = "Vertex AI API client library" optional = false python-versions = ">=3.8" files = [ - {file = "google-cloud-aiplatform-1.70.0.tar.gz", hash = "sha256:e8edef6dbc7911380d0ea55c47544e799f62b891cb1a83b504ca1c09fff9884b"}, - {file = "google_cloud_aiplatform-1.70.0-py2.py3-none-any.whl", hash = "sha256:690e6041f03d3aa85102ac3f316c958d6f43a99aefb7fb3f8938dee56d08abd9"}, + {file = "google-cloud-aiplatform-1.71.1.tar.gz", hash = "sha256:0013527e06853382ff0885898195bb7f3cf4a70eb7e5d53e4b1a28c8bd1775e2"}, + {file = "google_cloud_aiplatform-1.71.1-py2.py3-none-any.whl", hash = "sha256:4cd49bbc7f8ad88b92029a090b834ebacf9efadc844226f1e74d015d68f69ef5"}, ] [package.dependencies] @@ -1264,8 +1208,8 @@ autologging = ["mlflow (>=1.27.0,<=2.16.0)"] cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"] datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"] endpoint = ["requests (>=2.28.1)"] -evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"] -full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"] +evaluation = ["pandas (>=1.0.0)", "tqdm (>=4.23.0)"] +full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.16.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"] langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", 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beautifulsoup4 = "^4.12.3" From aacf3db9ef5e3deb2dfadd0d8b98c0dfd1dc7dd1 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Sun, 17 Nov 2024 23:01:46 -0300 Subject: [PATCH 04/18] Adjust Tools model --- backend/app/agent.py | 4 ++-- backend/app/tools.py | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/backend/app/agent.py b/backend/app/agent.py index 6ff2ab550..47fc2faea 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -316,7 +316,7 @@ def __init__( assistant_id=ConfigurableField( id="assistant_id", name="Assistant ID", is_shared=True ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), + thread_id=ConfigurableField(id="thread_id", name="Thread ID", annotation=str, is_shared=True), ) .with_types( input_type=Dict[str, Any], @@ -345,7 +345,7 @@ def __init__( assistant_id=ConfigurableField( id="assistant_id", name="Assistant ID", is_shared=True ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), + thread_id=ConfigurableField(id="thread_id", name="Thread ID", annotation=str, is_shared=True), tools=ConfigurableField(id="tools", name="Tools"), retrieval_description=ConfigurableField( id="retrieval_description", name="Retrieval Description" diff --git a/backend/app/tools.py b/backend/app/tools.py index eaf3d9fa8..984ba7a3c 100644 --- a/backend/app/tools.py +++ b/backend/app/tools.py @@ -64,10 +64,10 @@ class ToolConfig(TypedDict): class BaseTool(BaseModel): type: AvailableTools - name: Optional[str] = None - description: Optional[str] = None - config: Optional[ToolConfig] = None - multi_use: Optional[bool] = False + name: str + description: str + config: ToolConfig = Field(default_factory=dict) + multi_use: bool = False class ActionServerConfig(ToolConfig): From 5f8f2e193c9ae73f0ba5e604cb81f17861954e76 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Sun, 24 Nov 2024 22:55:58 -0300 Subject: [PATCH 05/18] Add checkpoint --- backend/app/agent.py | 20 ++++--- backend/app/checkpoint.py | 113 +++++++++++++++++++++++++++++++------- backend/app/lifespan.py | 2 +- backend/app/storage.py | 23 ++++---- 4 files changed, 118 insertions(+), 40 deletions(-) diff --git a/backend/app/agent.py b/backend/app/agent.py index 47fc2faea..eb3d2da4f 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -72,7 +72,7 @@ class AgentType(str, Enum): DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." -CHECKPOINTER = AsyncPostgresCheckpoint().get_instance() +CHECKPOINTER = AsyncPostgresCheckpoint() def get_agent_executor( @@ -132,7 +132,7 @@ class ConfigurableAgent(RunnableBinding): retrieval_description: str = RETRIEVAL_DESCRIPTION interrupt_before_action: bool = False assistant_id: Optional[str] = None - thread_id: Optional[str] = '' + thread_id: Optional[str] = "" user_id: Optional[str] = None def __init__( @@ -142,7 +142,7 @@ def __init__( agent: AgentType = AgentType.GPT_35_TURBO, system_message: str = DEFAULT_SYSTEM_MESSAGE, assistant_id: Optional[str] = None, - thread_id: Optional[str] = '', + thread_id: Optional[str] = "", retrieval_description: str = RETRIEVAL_DESCRIPTION, interrupt_before_action: bool = False, kwargs: Optional[Mapping[str, Any]] = None, @@ -262,7 +262,7 @@ class ConfigurableRetrieval(RunnableBinding): llm_type: LLMType system_message: str = DEFAULT_SYSTEM_MESSAGE assistant_id: Optional[str] = None - thread_id: Optional[str] = '' + thread_id: Optional[str] = "" user_id: Optional[str] = None def __init__( @@ -271,7 +271,7 @@ def __init__( llm_type: LLMType = LLMType.GPT_35_TURBO, system_message: str = DEFAULT_SYSTEM_MESSAGE, assistant_id: Optional[str] = None, - thread_id: Optional[str] = '', + thread_id: Optional[str] = "", kwargs: Optional[Mapping[str, Any]] = None, config: Optional[Mapping[str, Any]] = None, **others: Any, @@ -316,7 +316,9 @@ def __init__( assistant_id=ConfigurableField( id="assistant_id", name="Assistant ID", is_shared=True ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", annotation=str, is_shared=True), + thread_id=ConfigurableField( + id="thread_id", name="Thread ID", annotation=str, is_shared=True + ), ) .with_types( input_type=Dict[str, Any], @@ -332,7 +334,7 @@ def __init__( system_message=DEFAULT_SYSTEM_MESSAGE, retrieval_description=RETRIEVAL_DESCRIPTION, assistant_id=None, - thread_id='', + thread_id="", ) .configurable_fields( agent=ConfigurableField(id="agent_type", name="Agent Type"), @@ -345,7 +347,9 @@ def __init__( assistant_id=ConfigurableField( id="assistant_id", name="Assistant ID", is_shared=True ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", annotation=str, is_shared=True), + thread_id=ConfigurableField( + id="thread_id", name="Thread ID", annotation=str, is_shared=True + ), tools=ConfigurableField(id="tools", name="Tools"), retrieval_description=ConfigurableField( id="retrieval_description", name="Retrieval Description" diff --git a/backend/app/checkpoint.py b/backend/app/checkpoint.py index b8d1e43bf..e9ec3afc3 100644 --- a/backend/app/checkpoint.py +++ b/backend/app/checkpoint.py @@ -1,18 +1,56 @@ import os +from typing import Any, AsyncIterator, Optional, Sequence + import structlog -from typing import Optional -from psycopg_pool import AsyncConnectionPool +from langgraph.checkpoint.base import ( + ChannelVersions, + Checkpoint, + CheckpointMetadata, + CheckpointTuple, + RunnableConfig, +) from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver +from langgraph.checkpoint.postgres.base import BasePostgresSaver +from langgraph.checkpoint.serde.base import SerializerProtocol +from psycopg import AsyncPipeline +from psycopg_pool import AsyncConnectionPool logger = structlog.get_logger(__name__) -class AsyncPostgresCheckpoint: - _instance: Optional[AsyncPostgresSaver] = None - _initialized: bool = False - @classmethod - def get_instance(cls) -> AsyncPostgresSaver: - if cls._instance is None: +class AsyncPostgresCheckpoint(BasePostgresSaver): + """A singleton implementation of AsyncPostgresSaver with separate setup.""" + + _instance = None + + def __new__(cls, *args, **kwargs): + if not cls._instance: + cls._instance = super().__new__(cls) + return cls._instance + + def __init__( + self, + pipe: Optional[AsyncPipeline] = None, + serde: Optional[SerializerProtocol] = None, + ) -> None: + if not hasattr(self, "_initialized"): + super().__init__(serde=serde) + # Initialize basic attributes + self.pipe = pipe + self.serde = serde + self._initialized = True + self._setup_complete = False + self.async_postgres_saver = None + + async def ensure_setup(self) -> None: + """Ensure the instance is set up before use.""" + if not self._setup_complete: + await self.setup() + self._setup_complete = True + + async def setup(self) -> None: + """Internal setup method.""" + try: conninfo = ( f"postgresql://{os.environ['POSTGRES_USER']}:" f"{os.environ['POSTGRES_PASSWORD']}@" @@ -20,20 +58,55 @@ def get_instance(cls) -> AsyncPostgresSaver: f"{os.environ['POSTGRES_PORT']}/" f"{os.environ['POSTGRES_DB']}" ) - _async_pool = AsyncConnectionPool( + + conn = AsyncConnectionPool( conninfo=conninfo, kwargs={"autocommit": True, "prepare_threshold": 0}, ) - cls._instance = AsyncPostgresSaver(_async_pool) - return cls._instance - @classmethod - async def setup_async(cls) -> None: - """Asynchronously sets up the checkpoint.""" - cls.get_instance() # Ensure the instance is created - if not cls._initialized: - logger.info("Setting up the checkpoint asynchronously...") - await cls._instance.setup() - logger.info("Checkpoint setup complete.") - cls._initialized = True + self.async_postgres_saver = AsyncPostgresSaver( + conn=conn, pipe=self.pipe, serde=self.serde + ) + + logger.warning("Checkpoint setup complete.") + except Exception as e: + logger.error(f"Failed to set up AsyncPostgresCheckpoint: {e}") + raise + + async def alist( + self, + config: Optional[RunnableConfig], + *, + filter: Optional[dict[str, Any]] = None, + before: Optional[RunnableConfig] = None, + limit: Optional[int] = None, + ) -> AsyncIterator[CheckpointTuple]: + """List checkpoints from the database asynchronously.""" + return self.async_postgres_saver.alist( + config, filter=filter, before=before, limit=limit + ) + + async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]: + """Get a checkpoint tuple from the database asynchronously.""" + return await self.async_postgres_saver.aget_tuple(config) + + async def aput( + self, + config: RunnableConfig, + checkpoint: Checkpoint, + metadata: CheckpointMetadata, + new_versions: ChannelVersions, + ) -> RunnableConfig: + """Save a checkpoint to the database asynchronously.""" + return await self.async_postgres_saver.aput( + config, checkpoint, metadata, new_versions + ) + async def aput_writes( + self, + config: RunnableConfig, + writes: Sequence[tuple[str, Any]], + task_id: str, + ) -> None: + """Store intermediate writes linked to a checkpoint asynchronously.""" + await self.async_postgres_saver.aput_writes(config, writes, task_id) diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index 415d9421f..c69db270c 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -57,7 +57,7 @@ async def lifespan(app: FastAPI): port=os.environ["POSTGRES_PORT"], init=_init_connection, ) - await AsyncPostgresCheckpoint.setup_async() + await AsyncPostgresCheckpoint().ensure_setup() yield await _pg_pool.close() _pg_pool = None diff --git a/backend/app/storage.py b/backend/app/storage.py index 6181d40f2..71e5cc249 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -12,9 +12,12 @@ async def list_assistants(user_id: str) -> List[Assistant]: """List all assistants for the current user.""" async with get_pg_pool().acquire() as conn: - records = await conn.fetch("SELECT * FROM assistant WHERE user_id = $1", user_id) + records = await conn.fetch( + "SELECT * FROM assistant WHERE user_id = $1", user_id + ) return [Assistant(**record) for record in records] + async def get_assistant(user_id: str, assistant_id: str) -> Optional[Assistant]: """Get an assistant by ID.""" async with get_pg_pool().acquire() as conn: @@ -94,9 +97,7 @@ async def list_threads(user_id: str) -> List[Thread]: """List all threads for the current user.""" async with get_pg_pool().acquire() as conn: records = await conn.fetch("SELECT * FROM thread WHERE user_id = $1", user_id) - return [ - Thread(**record) for record in records - ] + return [Thread(**record) for record in records] async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: @@ -124,7 +125,7 @@ async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant } ) return { - "values": state.values, + "values": None if not state.values else state.values, "next": state.next, } @@ -169,23 +170,25 @@ async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assista ) ] + def get_assistant_type(config: dict) -> str: """Extract assistant type from config, handling both old and new formats.""" configurable = config.get("configurable", {}) - + # First try direct type key (old format) if "type" in configurable: return configurable["type"] - + # Then try type== prefix (new format) type_keys = [k for k in configurable.keys() if k.startswith("type==")] if type_keys: # Get the first type== key and extract the type (before the /) return type_keys[0].split("/")[0].replace("type==", "") - + # Default fallback return "chatbot" + async def put_thread( user_id: str, thread_id: str, *, assistant_id: str, name: str ) -> Thread: @@ -193,9 +196,7 @@ async def put_thread( updated_at = datetime.now(timezone.utc) assistant = await get_assistant(user_id, assistant_id) metadata = ( - {"assistant_type": get_assistant_type(assistant.config)} - if assistant - else None + {"assistant_type": get_assistant_type(assistant.config)} if assistant else None ) async with get_pg_pool().acquire() as conn: await conn.execute( From 4f151dbb46836d9b2c8ed03e8c313df2467ae773 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Sun, 24 Nov 2024 22:56:18 -0300 Subject: [PATCH 06/18] Update poetry --- backend/poetry.lock | 1384 +++++++++++++++++++++------------------- backend/pyproject.toml | 2 +- 2 files changed, 719 insertions(+), 667 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index fcf3d8141..139de867a 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,5 +1,16 @@ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + [[package]] name = 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-content-hash = "af49b0bd81c01414fb587e505f8818f9fb481aa66f024f8d93ff2c74c44029c5" +content-hash = "10ff7fe127c2ef4e38f9a71d446256feff09fb9157363f1b0d2e1701c7b85dab" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index bcea0e7f1..cce173c74 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -36,7 +36,7 @@ setuptools = "^69.0.3" pdfminer-six = "^20231228" fireworks-ai = "^0.11.2" httpx = { version = "^0", extras = ["socks"] } -unstructured = {extras = ["doc", "docx"], version = "^0.12.5"} +unstructured = {extras = ["doc", "docx"], version = "^0"} pgvector = "^0.2.5" psycopg2-binary = "^2.9.9" asyncpg = "^0.29.0" From 7483722db57ced2461d3cf1debda702dbb1a4d61 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Sun, 24 Nov 2024 22:57:43 -0300 Subject: [PATCH 07/18] Format --- backend/app/api/assistants.py | 4 +- backend/app/api/threads.py | 1 + backend/app/auth/settings.py | 13 +++--- backend/app/server.py | 4 +- backend/app/tools.py | 81 +++++++++++++++++++++++------------ backend/app/upload.py | 3 +- 6 files changed, 69 insertions(+), 37 deletions(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index fe209ce98..f7e5b03cc 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -16,7 +16,9 @@ class AssistantPayload(BaseModel): name: Annotated[str, Field(description="The name of the assistant.")] config: Annotated[dict, Field(description="The assistant config.")] - public: Annotated[bool, Field(default=False, description="Whether the assistant is public.")] + public: Annotated[ + bool, Field(default=False, description="Whether the assistant is public.") + ] AssistantID = Annotated[str, Path(description="The ID of the assistant.")] diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 470e29eb8..00aad57e4 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -17,6 +17,7 @@ class ThreadPutRequest(BaseModel): """Payload for creating a thread.""" + name: Annotated[str, Field(description="The name of the thread.")] assistant_id: Annotated[str, Field(description="The ID of the assistant to use.")] diff --git a/backend/app/auth/settings.py b/backend/app/auth/settings.py index 7ac7c3c05..3cb5ba148 100644 --- a/backend/app/auth/settings.py +++ b/backend/app/auth/settings.py @@ -1,9 +1,9 @@ import os from base64 import b64decode from enum import Enum -from typing import Optional, Union, List +from typing import List, Optional, Union -from pydantic import ConfigDict, model_validator, field_validator +from pydantic import ConfigDict, field_validator, model_validator from pydantic_settings import BaseSettings @@ -23,7 +23,10 @@ def set_aud(cls, v) -> Union[str, List[str]]: if isinstance(v, str) and "," in v: return v.split(",") return v - model_config = ConfigDict(env_prefix="jwt_",) + + model_config = ConfigDict( + env_prefix="jwt_", + ) class JWTSettingsLocal(JWTSettingsBase): @@ -33,13 +36,13 @@ class JWTSettingsLocal(JWTSettingsBase): @field_validator("decode_key", mode="before") @classmethod - def set_decode_key(cls, v, values): + def set_decode_key(cls, v, info): """ Key may be a multiline string (e.g. in the case of a public key), so to be able to set it from env, we set it as a base64 encoded string and decode it here. """ - decode_key_b64 = kwargs.get("decode_key_b64") + decode_key_b64 = info.data.get("decode_key_b64") if decode_key_b64: return b64decode(decode_key_b64).decode("utf-8") return v diff --git a/backend/app/server.py b/backend/app/server.py index 65ef6bb77..fa9d1c783 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -34,13 +34,13 @@ async def ingest_files( assistant_id = config["configurable"].get("assistant_id") if assistant_id is not None: - assistant = await storage.get_assistant(user["user_id"], assistant_id) + assistant = await storage.get_assistant(user.user_id, assistant_id) if assistant is None: raise HTTPException(status_code=404, detail="Assistant not found.") thread_id = config["configurable"].get("thread_id") if thread_id is not None: - thread = await storage.get_thread(user["user_id"], thread_id) + thread = await storage.get_thread(user.user_id, thread_id) if thread is None: raise HTTPException(status_code=404, detail="Thread not found.") diff --git a/backend/app/tools.py b/backend/app/tools.py index 984ba7a3c..c654099fe 100644 --- a/backend/app/tools.py +++ b/backend/app/tools.py @@ -1,8 +1,7 @@ from enum import Enum from functools import lru_cache -from typing import Annotated,Literal, Optional +from typing import Annotated, Literal -from pydantic import BaseModel, Field from langchain.tools.retriever import create_retriever_tool from langchain_community.agent_toolkits.connery import ConneryToolkit from langchain_community.retrievers.kay import KayAiRetriever @@ -22,10 +21,12 @@ from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper from langchain_core.tools import Tool +from pydantic import BaseModel, Field from typing_extensions import TypedDict from app.upload import vstore + class DDGInput(BaseModel): query: Annotated[str, Field(description="search query to look up")] @@ -78,13 +79,15 @@ class ActionServerConfig(ToolConfig): class ActionServer(BaseTool): type: Literal[AvailableTools.ACTION_SERVER] = AvailableTools.ACTION_SERVER name: Literal["Action Server by Sema4.ai"] = "Action Server by Sema4.ai" - description: Literal[( - "Run AI actions with " - "[Sema4.ai Action Server](https://github.com/Sema4AI/actions)." - )] = ( + description: Literal[ + ( "Run AI actions with " "[Sema4.ai Action Server](https://github.com/Sema4AI/actions)." ) + ] = ( + "Run AI actions with " + "[Sema4.ai Action Server](https://github.com/Sema4AI/actions)." + ) config: ActionServerConfig multi_use: Literal[True] = True @@ -92,91 +95,115 @@ class ActionServer(BaseTool): class Connery(BaseTool): type: Literal[AvailableTools.CONNERY] = AvailableTools.CONNERY name: Literal["AI Action Runner by Connery"] = "AI Action Runner by Connery" - description: Literal[( - "Connect OpenGPTs to the real world with " - "[Connery](https://github.com/connery-io/connery)." - )] = ( + description: Literal[ + ( "Connect OpenGPTs to the real world with " "[Connery](https://github.com/connery-io/connery)." ) + ] = ( + "Connect OpenGPTs to the real world with " + "[Connery](https://github.com/connery-io/connery)." + ) class DDGSearch(BaseTool): type: Literal[AvailableTools.DDG_SEARCH] = AvailableTools.DDG_SEARCH name: Literal["DuckDuckGo Search"] = "DuckDuckGo Search" - description: Literal["Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)."] = "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)." + description: Literal[ + "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)." + ] = "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/)." class Arxiv(BaseTool): type: Literal[AvailableTools.ARXIV] = AvailableTools.ARXIV name: Literal["Arxiv"] = "Arxiv" - description: Literal["Searches [Arxiv](https://arxiv.org/)."] = "Searches [Arxiv](https://arxiv.org/)." + description: Literal[ + "Searches [Arxiv](https://arxiv.org/)." + ] = "Searches [Arxiv](https://arxiv.org/)." class YouSearch(BaseTool): type: Literal[AvailableTools.YOU_SEARCH] = AvailableTools.YOU_SEARCH name: Literal["You.com Search"] = "You.com Search" - description: Literal["Uses [You.com](https://you.com/) search, optimized responses for LLMs."] = "Uses [You.com](https://you.com/) search, optimized responses for LLMs." + description: Literal[ + "Uses [You.com](https://you.com/) search, optimized responses for LLMs." + ] = "Uses [You.com](https://you.com/) search, optimized responses for LLMs." class SecFilings(BaseTool): type: Literal[AvailableTools.SEC_FILINGS] = AvailableTools.SEC_FILINGS name: Literal["SEC Filings (Kay.ai)"] = "SEC Filings (Kay.ai)" - description: Literal["Searches through SEC filings using [Kay.ai](https://www.kay.ai/)."] = "Searches through SEC filings using [Kay.ai](https://www.kay.ai/)." + description: Literal[ + "Searches through SEC filings using [Kay.ai](https://www.kay.ai/)." + ] = "Searches through SEC filings using [Kay.ai](https://www.kay.ai/)." class PressReleases(BaseTool): type: Literal[AvailableTools.PRESS_RELEASES] = AvailableTools.PRESS_RELEASES name: Literal["Press Releases (Kay.ai)"] = "Press Releases (Kay.ai)" - description: Literal["Searches through press releases using [Kay.ai](https://www.kay.ai/)."] = "Searches through press releases using [Kay.ai](https://www.kay.ai/)." + description: Literal[ + "Searches through press releases using [Kay.ai](https://www.kay.ai/)." + ] = "Searches through press releases using [Kay.ai](https://www.kay.ai/)." class PubMed(BaseTool): type: Literal[AvailableTools.PUBMED] = AvailableTools.PUBMED name: Literal["PubMed"] = "PubMed" - description: Literal["Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)."] = "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)." + description: Literal[ + "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)." + ] = "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/)." class Wikipedia(BaseTool): type: Literal[AvailableTools.WIKIPEDIA] = AvailableTools.WIKIPEDIA name: Literal["Wikipedia"] = "Wikipedia" - description: Literal["Searches [Wikipedia](https://pypi.org/project/wikipedia/)."] = "Searches [Wikipedia](https://pypi.org/project/wikipedia/)." + description: Literal[ + "Searches [Wikipedia](https://pypi.org/project/wikipedia/)." + ] = "Searches [Wikipedia](https://pypi.org/project/wikipedia/)." class Tavily(BaseTool): type: Literal[AvailableTools.TAVILY] = AvailableTools.TAVILY name: Literal["Search (Tavily)"] = "Search (Tavily)" - description: Literal[( - "Uses the [Tavily](https://app.tavily.com/) search engine. " - "Includes sources in the response." - )] = ( + description: Literal[ + ( "Uses the [Tavily](https://app.tavily.com/) search engine. " "Includes sources in the response." ) + ] = ( + "Uses the [Tavily](https://app.tavily.com/) search engine. " + "Includes sources in the response." + ) class TavilyAnswer(BaseTool): type: Literal[AvailableTools.TAVILY_ANSWER] = AvailableTools.TAVILY_ANSWER name: Literal["Search (short answer, Tavily)"] = "Search (short answer, Tavily)" - description: Literal[( - "Uses the [Tavily](https://app.tavily.com/) search engine. " - "This returns only the answer, no supporting evidence." - )] = ( + description: Literal[ + ( "Uses the [Tavily](https://app.tavily.com/) search engine. " "This returns only the answer, no supporting evidence." ) + ] = ( + "Uses the [Tavily](https://app.tavily.com/) search engine. " + "This returns only the answer, no supporting evidence." + ) class Retrieval(BaseTool): type: Literal[AvailableTools.RETRIEVAL] = AvailableTools.RETRIEVAL name: Literal["Retrieval"] = "Retrieval" - description: Literal["Look up information in uploaded files."] = "Look up information in uploaded files." + description: Literal[ + "Look up information in uploaded files." + ] = "Look up information in uploaded files." class DallE(BaseTool): type: Literal[AvailableTools.DALL_E] = AvailableTools.DALL_E name: Literal["Generate Image (Dall-E)"] = "Generate Image (Dall-E)" - description: Literal["Generates images from a text description using OpenAI's DALL-E model."] = "Generates images from a text description using OpenAI's DALL-E model." + description: Literal[ + "Generates images from a text description using OpenAI's DALL-E model." + ] = "Generates images from a text description using OpenAI's DALL-E model." RETRIEVAL_DESCRIPTION = """Can be used to look up information that was uploaded to this assistant. diff --git a/backend/app/upload.py b/backend/app/upload.py index fa1d25761..7e39d1cda 100644 --- a/backend/app/upload.py +++ b/backend/app/upload.py @@ -24,11 +24,10 @@ from langchain_core.vectorstores import VectorStore from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings from langchain_text_splitters import RecursiveCharacterTextSplitter, TextSplitter +from pydantic import ConfigDict from app.ingest import ingest_blob from app.parsing import MIMETYPE_BASED_PARSER -from pydantic import ConfigDict - def _guess_mimetype(file_name: str, file_bytes: bytes) -> str: From 23b0f2a77af4faec47aa3187ceddf76cadbb7f60 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Sun, 24 Nov 2024 22:58:33 -0300 Subject: [PATCH 08/18] Fix tests --- .../unit_tests/agent_executor/test_upload.py | 3 ++- backend/tests/unit_tests/app/test_app.py | 20 +++++++++++++------ backend/tests/unit_tests/app/test_auth.py | 2 +- backend/tests/unit_tests/conftest.py | 8 +++++++- 4 files changed, 24 insertions(+), 9 deletions(-) diff --git a/backend/tests/unit_tests/agent_executor/test_upload.py b/backend/tests/unit_tests/agent_executor/test_upload.py index e239ef026..19736027e 100644 --- a/backend/tests/unit_tests/agent_executor/test_upload.py +++ b/backend/tests/unit_tests/agent_executor/test_upload.py @@ -1,7 +1,8 @@ from io import BytesIO -from langchain.text_splitter import RecursiveCharacterTextSplitter from fastapi import UploadFile +from langchain.text_splitter import RecursiveCharacterTextSplitter + from app.upload import IngestRunnable, _guess_mimetype, convert_ingestion_input_to_blob from tests.unit_tests.fixtures import get_sample_paths from tests.unit_tests.utils import InMemoryVectorStore diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index b84f887f1..570ce5ba2 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -4,12 +4,15 @@ from uuid import uuid4 import asyncpg +from pydantic import BaseModel +from app.schema import Assistant, Thread from tests.unit_tests.app.helpers import get_client -def _project(d: dict, *, exclude_keys: Optional[Sequence[str]]) -> dict: +def _project(model: BaseModel, *, exclude_keys: Optional[Sequence[str]] = None) -> dict: """Return a dict with only the keys specified.""" + d = model.model_dump() _exclude = set(exclude_keys) if exclude_keys else set() return {k: v for k, v in d.items() if k not in _exclude} @@ -38,7 +41,8 @@ async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: headers=headers, ) assert response.status_code == 200 - assert _project(response.json(), exclude_keys=["updated_at", "user_id"]) == { + assistant = Assistant.model_validate(response.json()) + assert _project(assistant, exclude_keys=["updated_at", "user_id"]) == { "assistant_id": aid, "config": {}, "name": "bobby", @@ -48,8 +52,9 @@ async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: assert len(await conn.fetch("SELECT * FROM assistant;")) == 1 response = await client.get("/assistants/", headers=headers) + assistants = [Assistant.model_validate(d) for d in response.json()] assert [ - _project(d, exclude_keys=["updated_at", "user_id"]) for d in response.json() + _project(d, exclude_keys=["updated_at", "user_id"]) for d in assistants ] == [ { "assistant_id": aid, @@ -65,7 +70,8 @@ async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: headers=headers, ) - assert _project(response.json(), exclude_keys=["updated_at", "user_id"]) == { + assistant = Assistant.model_validate(response.json()) + assert _project(assistant, exclude_keys=["updated_at", "user_id"]) == { "assistant_id": aid, "config": {}, "name": "bobby", @@ -79,7 +85,7 @@ async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: assert response.json() == [] -async def test_threads() -> None: +async def test_threads(pool: asyncpg.pool.Pool) -> None: """Test put thread.""" headers = {"Cookie": "opengpts_user_id=1"} aid = str(uuid4()) @@ -102,6 +108,7 @@ async def test_threads() -> None: headers=headers, ) assert response.status_code == 200, response.text + _ = Thread.model_validate(response.json()) response = await client.get(f"/threads/{tid}/state", headers=headers) assert response.status_code == 200 @@ -110,8 +117,9 @@ async def test_threads() -> None: response = await client.get("/threads/", headers=headers) assert response.status_code == 200 + threads = [Thread.model_validate(d) for d in response.json()] assert [ - _project(d, exclude_keys=["updated_at", "user_id"]) for d in response.json() + _project(d, exclude_keys=["updated_at", "user_id"]) for d in threads ] == [ { "assistant_id": aid, diff --git a/backend/tests/unit_tests/app/test_auth.py b/backend/tests/unit_tests/app/test_auth.py index a3d0e449d..81af591ba 100644 --- a/backend/tests/unit_tests/app/test_auth.py +++ b/backend/tests/unit_tests/app/test_auth.py @@ -20,7 +20,7 @@ @app.get("/me") async def me(user: AuthedUser) -> dict: - return user + return user.model_dump() def _create_jwt( diff --git a/backend/tests/unit_tests/conftest.py b/backend/tests/unit_tests/conftest.py index 4d21da0dd..12bef5c99 100644 --- a/backend/tests/unit_tests/conftest.py +++ b/backend/tests/unit_tests/conftest.py @@ -53,10 +53,16 @@ def _migrate_test_db() -> None: @pytest.fixture(scope="session") -async def pool(): +async def _init_db(): + """Initialize the test database.""" await _drop_test_db() # In case previous test session was abruptly terminated await _create_test_db() _migrate_test_db() + + +@pytest.fixture(scope="session") +async def pool(_init_db): + """Initialize database pool with checkpointer.""" async with lifespan(app): yield get_pg_pool() await _drop_test_db() From 27f1df2c8f98b2076e46d6332370b0d3daf97036 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Wed, 27 Nov 2024 09:39:00 -0300 Subject: [PATCH 09/18] Modify tables --- .../000002_checkpoints_update_schema.up.sql | 48 +++++++++++++++---- 1 file changed, 39 insertions(+), 9 deletions(-) diff --git a/backend/migrations/000002_checkpoints_update_schema.up.sql b/backend/migrations/000002_checkpoints_update_schema.up.sql index 9ddd077f2..8e09ecfbb 100644 --- a/backend/migrations/000002_checkpoints_update_schema.up.sql +++ b/backend/migrations/000002_checkpoints_update_schema.up.sql @@ -1,11 +1,41 @@ -ALTER TABLE checkpoints - ADD COLUMN IF NOT EXISTS thread_ts TIMESTAMPTZ, - ADD COLUMN IF NOT EXISTS parent_ts TIMESTAMPTZ; +-- Drop existing checkpoints-related tables if they exist +ALTER TABLE IF EXISTS checkpoints RENAME TO old_checkpoints; +DROP TABLE IF EXISTS checkpoint_writes; +DROP TABLE IF EXISTS checkpoint_blobs; +DROP TABLE IF EXISTS checkpoint_migrations; -UPDATE checkpoints - SET thread_ts = CURRENT_TIMESTAMP AT TIME ZONE 'UTC' -WHERE thread_ts IS NULL; +CREATE TABLE IF NOT EXISTS checkpoints ( + thread_id TEXT NOT NULL, + checkpoint_ns TEXT NOT NULL DEFAULT '', + checkpoint_id TEXT NOT NULL DEFAULT '', + parent_checkpoint_id TEXT, + type TEXT, + checkpoint JSONB, + metadata JSONB NOT NULL DEFAULT '{}', + created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id) +); -ALTER TABLE checkpoints - DROP CONSTRAINT IF EXISTS checkpoints_pkey, - ADD PRIMARY KEY (thread_id, thread_ts) +-- Create checkpoint_blobs table +CREATE TABLE IF NOT EXISTS checkpoint_blobs ( + thread_id TEXT NOT NULL, + checkpoint_ns TEXT NOT NULL DEFAULT '', + channel TEXT NOT NULL, + version TEXT NOT NULL, + type TEXT NOT NULL, + blob BYTEA, + PRIMARY KEY (thread_id, checkpoint_ns, channel, version) +); + +-- Create checkpoint_writes table +CREATE TABLE IF NOT EXISTS checkpoint_writes ( + thread_id TEXT NOT NULL, + checkpoint_ns TEXT NOT NULL DEFAULT '', + checkpoint_id TEXT NOT NULL, + task_id TEXT NOT NULL, + idx INTEGER NOT NULL, + channel TEXT NOT NULL, + type TEXT, + blob BYTEA NOT NULL, + PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx) +); From 538f46fe02571dcb65e55a00cf7f554ad3dc4dec Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Fri, 29 Nov 2024 14:27:27 -0300 Subject: [PATCH 10/18] Fix gpt4o --- backend/app/agent.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/backend/app/agent.py b/backend/app/agent.py index eb3d2da4f..f77fd5216 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -202,6 +202,8 @@ def get_chatbot( llm = get_openai_llm() elif llm_type == LLMType.GPT_4: llm = get_openai_llm(model="gpt-4") + elif llm_type == LLMType.GPT_4O: + llm = get_openai_llm(model="gpt-4o") elif llm_type == LLMType.AZURE_OPENAI: llm = get_openai_llm(azure=True) elif llm_type == LLMType.CLAUDE2: From 34bc8a1fa57d74b71780a4b85f5b946e4e246df8 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Fri, 29 Nov 2024 18:00:44 -0300 Subject: [PATCH 11/18] Fix bots --- backend/app/agent_types/xml_agent.py | 2 +- backend/app/api/runs.py | 14 ++++++++++++-- backend/app/message_types.py | 10 ++++------ backend/app/retrieval.py | 4 ++-- backend/app/storage.py | 6 ------ 5 files changed, 19 insertions(+), 17 deletions(-) diff --git a/backend/app/agent_types/xml_agent.py b/backend/app/agent_types/xml_agent.py index 23b9c1445..539e5553c 100644 --- a/backend/app/agent_types/xml_agent.py +++ b/backend/app/agent_types/xml_agent.py @@ -45,7 +45,7 @@ def construct_chat_history(messages): temp_messages = [] collapsed_messages.append(message) elif isinstance(message, LiberalFunctionMessage): - _dict = message.dict() + _dict = message.model_dump() _dict["content"] = str(_dict["content"]) m_c = FunctionMessage(**_dict) temp_messages.append(m_c) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 120ce17a4..58133bace 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -11,7 +11,7 @@ from pydantic import BaseModel, Field from sse_starlette import EventSourceResponse -from app.agent import agent +from app.agent import agent, chat_retrieval, chatbot from app.auth.handlers import AuthedUser from app.storage import get_assistant, get_thread from app.stream import astream_state, to_sse @@ -51,7 +51,17 @@ async def _run_input_and_config(payload: CreateRunPayload, user_id: str): try: if payload.input is not None: - agent.get_input_schema(config).model_validate(payload.input) + # Get the bot type from config + bot_type = config["configurable"].get("type", "agent") + # Get the correct schema based on bot type + if bot_type == "chat_retrieval": + schema = chat_retrieval.get_input_schema() + elif bot_type == "chatbot": + schema = chatbot.get_input_schema() + else: # default to agent + schema = agent.get_input_schema() + # Validate against the correct schema + schema.model_validate(payload.input) except ValidationError as e: raise RequestValidationError(e.errors(), body=payload) diff --git a/backend/app/message_types.py b/backend/app/message_types.py index 9ceea94b2..7353cf59b 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,13 +1,11 @@ from typing import Any, get_args - from langchain_core.messages import ( - AnyMessage, FunctionMessage, MessageLikeRepresentation, ToolMessage, ) from langgraph.graph.message import Messages, add_messages - +from langchain_core.messages import _message_from_dict class LiberalFunctionMessage(FunctionMessage): content: Any @@ -20,14 +18,14 @@ class LiberalToolMessage(ToolMessage): def _convert_pydantic_dict_to_message( data: MessageLikeRepresentation ) -> MessageLikeRepresentation: + """Convert a dictionary to a message object if it matches message format.""" if ( isinstance(data, dict) and "content" in data and isinstance(data.get("type"), str) ): - for cls in get_args(AnyMessage): - if data["type"] == cls(content="").type: - return cls(**data) + _type = data.pop("type") + return _message_from_dict({"data": data, "type": _type}) return data diff --git a/backend/app/retrieval.py b/backend/app/retrieval.py index 9db5f52c0..7d25aa25e 100644 --- a/backend/app/retrieval.py +++ b/backend/app/retrieval.py @@ -54,7 +54,7 @@ def _get_messages(messages): if isinstance(m, HumanMessage): chat_history.append(m) response = messages[-1].content - content = "\n".join([d.page_content for d in response]) + content = "\n".join([d for d in response]) return [ SystemMessage( content=response_prompt_template.format( @@ -80,7 +80,7 @@ async def get_search_query(messages: Sequence[BaseMessage]): async def invoke_retrieval(state: AgentState): messages = state["messages"] if len(messages) == 1: - human_input = messages[-1]["content"] + human_input = messages[-1].content return { "messages": [ AIMessage( diff --git a/backend/app/storage.py b/backend/app/storage.py index 71e5cc249..7b3415790 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -179,12 +179,6 @@ def get_assistant_type(config: dict) -> str: if "type" in configurable: return configurable["type"] - # Then try type== prefix (new format) - type_keys = [k for k in configurable.keys() if k.startswith("type==")] - if type_keys: - # Get the first type== key and extract the type (before the /) - return type_keys[0].split("/")[0].replace("type==", "") - # Default fallback return "chatbot" From 024ae145bed87d402b1f01349e074739d4ede732 Mon Sep 17 00:00:00 2001 From: lgesuellip Date: Mon, 2 Dec 2024 13:22:47 -0300 Subject: [PATCH 12/18] Fix retrieval --- backend/app/message_types.py | 6 ++++-- backend/app/retrieval.py | 3 ++- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/backend/app/message_types.py b/backend/app/message_types.py index 7353cf59b..195867b7d 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -6,13 +6,15 @@ ) from langgraph.graph.message import Messages, add_messages from langchain_core.messages import _message_from_dict +from pydantic import Field + class LiberalFunctionMessage(FunctionMessage): - content: Any + content: Any = Field(default="") class LiberalToolMessage(ToolMessage): - content: Any + content: Any = Field(default="") def _convert_pydantic_dict_to_message( diff --git a/backend/app/retrieval.py b/backend/app/retrieval.py index 7d25aa25e..604df354a 100644 --- a/backend/app/retrieval.py +++ b/backend/app/retrieval.py @@ -54,7 +54,7 @@ def _get_messages(messages): if isinstance(m, HumanMessage): chat_history.append(m) response = messages[-1].content - content = "\n".join([d for d in response]) + content = "\n".join([d["page_content"] for d in response]) return [ SystemMessage( content=response_prompt_template.format( @@ -118,6 +118,7 @@ async def retrieve(state: AgentState): params = messages[-1].tool_calls[0] query = params["args"]["query"] response = await retriever.ainvoke(query) + response = [doc.model_dump() for doc in response] msg = LiberalToolMessage( name="retrieval", content=response, tool_call_id=params["id"] ) From 5ca17e21c00ab3ba5872c10e9dc80fe1d334b357 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9Clgesuellip=E2=80=9D?= <“lgesuellipinto@uade.edu.ar”> Date: Sat, 25 Jan 2025 20:37:03 -0300 Subject: [PATCH 13/18] Adding eugenes suggestions --- backend/app/checkpoint.py | 9 +++- .../000002_checkpoints_update_schema.up.sql | 48 ++++--------------- ...00005_advanced_checkpoints_schema.down.sql | 12 +++++ .../000005_advanced_checkpoints_schema.up.sql | 9 ++++ backend/pyproject.toml | 1 + 5 files changed, 38 insertions(+), 41 deletions(-) create mode 100644 backend/migrations/000005_advanced_checkpoints_schema.down.sql create mode 100644 backend/migrations/000005_advanced_checkpoints_schema.up.sql diff --git a/backend/app/checkpoint.py b/backend/app/checkpoint.py index e9ec3afc3..c0c1362b9 100644 --- a/backend/app/checkpoint.py +++ b/backend/app/checkpoint.py @@ -59,15 +59,20 @@ async def setup(self) -> None: f"{os.environ['POSTGRES_DB']}" ) - conn = AsyncConnectionPool( + pool = AsyncConnectionPool( conninfo=conninfo, kwargs={"autocommit": True, "prepare_threshold": 0}, + open=False # Don't open in constructor ) + await pool.open() self.async_postgres_saver = AsyncPostgresSaver( - conn=conn, pipe=self.pipe, serde=self.serde + conn=pool, pipe=self.pipe, serde=self.serde ) + # Setup will create/migrate the tables if they don't exist + await self.async_postgres_saver.setup() + logger.warning("Checkpoint setup complete.") except Exception as e: logger.error(f"Failed to set up AsyncPostgresCheckpoint: {e}") diff --git a/backend/migrations/000002_checkpoints_update_schema.up.sql b/backend/migrations/000002_checkpoints_update_schema.up.sql index 8e09ecfbb..9ddd077f2 100644 --- a/backend/migrations/000002_checkpoints_update_schema.up.sql +++ b/backend/migrations/000002_checkpoints_update_schema.up.sql @@ -1,41 +1,11 @@ --- Drop existing checkpoints-related tables if they exist -ALTER TABLE IF EXISTS checkpoints RENAME TO old_checkpoints; -DROP TABLE IF EXISTS checkpoint_writes; -DROP TABLE IF EXISTS checkpoint_blobs; -DROP TABLE IF EXISTS checkpoint_migrations; +ALTER TABLE checkpoints + ADD COLUMN IF NOT EXISTS thread_ts TIMESTAMPTZ, + ADD COLUMN IF NOT EXISTS parent_ts TIMESTAMPTZ; -CREATE TABLE IF NOT EXISTS checkpoints ( - thread_id TEXT NOT NULL, - checkpoint_ns TEXT NOT NULL DEFAULT '', - checkpoint_id TEXT NOT NULL DEFAULT '', - parent_checkpoint_id TEXT, - type TEXT, - checkpoint JSONB, - metadata JSONB NOT NULL DEFAULT '{}', - created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, - PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id) -); +UPDATE checkpoints + SET thread_ts = CURRENT_TIMESTAMP AT TIME ZONE 'UTC' +WHERE thread_ts IS NULL; --- Create checkpoint_blobs table -CREATE TABLE IF NOT EXISTS checkpoint_blobs ( - thread_id TEXT NOT NULL, - checkpoint_ns TEXT NOT NULL DEFAULT '', - channel TEXT NOT NULL, - version TEXT NOT NULL, - type TEXT NOT NULL, - blob BYTEA, - PRIMARY KEY (thread_id, checkpoint_ns, channel, version) -); - --- Create checkpoint_writes table -CREATE TABLE IF NOT EXISTS checkpoint_writes ( - thread_id TEXT NOT NULL, - checkpoint_ns TEXT NOT NULL DEFAULT '', - checkpoint_id TEXT NOT NULL, - task_id TEXT NOT NULL, - idx INTEGER NOT NULL, - channel TEXT NOT NULL, - type TEXT, - blob BYTEA NOT NULL, - PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx) -); +ALTER TABLE checkpoints + DROP CONSTRAINT IF EXISTS checkpoints_pkey, + ADD PRIMARY KEY (thread_id, thread_ts) diff --git a/backend/migrations/000005_advanced_checkpoints_schema.down.sql b/backend/migrations/000005_advanced_checkpoints_schema.down.sql new file mode 100644 index 000000000..02712d1ce --- /dev/null +++ b/backend/migrations/000005_advanced_checkpoints_schema.down.sql @@ -0,0 +1,12 @@ +-- Drop the blob storage table +DROP TABLE IF EXISTS checkpoint_blobs; + +-- Drop the writes tracking table +DROP TABLE IF EXISTS checkpoint_writes; + +-- Drop the new checkpoints table that was created by the application +DROP TABLE IF EXISTS checkpoints; + +-- Restore the original checkpoints table by renaming old_checkpoints back +-- This preserves the original data that was saved before the migration +ALTER TABLE old_checkpoints RENAME TO checkpoints; \ No newline at end of file diff --git a/backend/migrations/000005_advanced_checkpoints_schema.up.sql b/backend/migrations/000005_advanced_checkpoints_schema.up.sql new file mode 100644 index 000000000..13d4f3893 --- /dev/null +++ b/backend/migrations/000005_advanced_checkpoints_schema.up.sql @@ -0,0 +1,9 @@ +-- BREAKING CHANGE WARNING: +-- This migration represents a transition from pickle-based checkpointing to a new checkpoint system. +-- As a result, any threads created before this migration will not be usable/clickable in the UI. +-- old thread data remains in old_checkpoints table but cannot be accessed by the new version. + +-- Rename existing checkpoints table to preserve current data +-- This is necessary because the application will create a new checkpoints table +-- with an updated schema during runtime initialization. +ALTER TABLE checkpoints RENAME TO old_checkpoints; \ No newline at end of file diff --git a/backend/pyproject.toml b/backend/pyproject.toml index cce173c74..74c04b568 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -5,6 +5,7 @@ description = "" authors = ["Your Name "] readme = "README.md" packages = [{include = "app"}] +package-mode = false [tool.poetry.dependencies] python = "^3.9.0,<3.12" From 495ee018f6c814174cfa5bf647dc1a6b393ec852 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9Clgesuellip=E2=80=9D?= <“lgesuellipinto@uade.edu.ar”> Date: Sun, 26 Jan 2025 18:59:27 -0300 Subject: [PATCH 14/18] Fix state handling inconsistency between different agent types --- backend/app/storage.py | 29 +++++++++++++++++++++++++++-- 1 file changed, 27 insertions(+), 2 deletions(-) diff --git a/backend/app/storage.py b/backend/app/storage.py index 7b3415790..eea639f19 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -124,8 +124,11 @@ async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant } } ) + # Keep original format - return values as is + values = state.values if state.values else None + return { - "values": None if not state.values else state.values, + "values": values, "next": state.next, } @@ -138,6 +141,28 @@ async def update_thread_state( assistant: Assistant, ): """Add state to a thread.""" + # Get the current state to determine the format + current_state = await agent.aget_state( + { + "configurable": { + **assistant.config["configurable"], + **config["configurable"], + "assistant_id": assistant.assistant_id, + } + } + ) + + # If current state is a dict (retrieval agent), maintain dict structure + if current_state.values and isinstance(current_state.values, dict): + if isinstance(values, dict): + state_values = values + else: + # Update just the messages in the existing state + state_values = {**current_state.values, "messages": values} + else: + # For message-only states (tools_agent, chatbot), just use the messages + state_values = values if isinstance(values, dict) and "messages" in values else values + await agent.aupdate_state( { "configurable": { @@ -146,7 +171,7 @@ async def update_thread_state( "assistant_id": assistant.assistant_id, } }, - values, + state_values, ) From 51186620d40b6e889a11596436626c91788615fb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=9Clgesuellip=E2=80=9D?= <“lgesuellipinto@uade.edu.ar”> Date: Sun, 26 Jan 2025 19:17:15 -0300 Subject: [PATCH 15/18] Improve doc --- README.md | 16 +++++++++++++--- backend/README.md | 25 +++++++++++++++++++++++++ 2 files changed, 38 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index a5b4beb85..9f3ee8e67 100644 --- a/README.md +++ b/README.md @@ -227,6 +227,16 @@ Navigate to [http://localhost:5173/](http://localhost:5173/) and enjoy! Refer to this [guide](tools/redis_to_postgres/README.md) for migrating data from Redis to Postgres. +## Breaking Changes + +### Migration 5 - Checkpoint Management Update +Version 5 of the database migrations introduces a significant change to how thread checkpoints are managed: +- Transitions from a pickle-based checkpointing system to a new multi-table checkpoint management system (breaking change) +- Aligns with LangGraph's new checkpoint architecture for better state management and persistence +- **Important**: Historical threads/checkpoints (created before this migration) will not be accessible in the UI +- Previous checkpoint data is preserved in the `old_checkpoints` table but cannot be accessed by the new system +- This architectural change improves how thread state is stored and managed, enabling more reliable state persistence in LangGraph-based agents. + ## Features As much as possible, we are striving for feature parity with OpenAI. @@ -309,14 +319,14 @@ Then, those documents are passed in the system message to a separate call to the Compared to assistants, it is more structured (but less powerful). It ALWAYS looks up something - which is good if you know you want to look things up, but potentially wasteful if the user is just trying to have a normal conversation. -Also importantly, this only looks up things once - so if it doesn’t find the right results then it will yield a bad +Also importantly, this only looks up things once - so if it doesn't find the right results then it will yield a bad result (compared to an assistant, which could decide to look things up again). ![](_static/rag.png) Despite this being a more simple architecture, it is good for a few reasons. First, because it is simpler it can work pretty well with a wider variety of models (including lots of open source models). Second, if you have a use case where -you don’t NEED the flexibility of an assistant (eg you know users will be looking up information every time) then it +you don't NEED the flexibility of an assistant (eg you know users will be looking up information every time) then it can be more focused. And third, compared to the final architecture below it can use external knowledge. RAGBot is implemented with [LangGraph](https://github.com/langchain-ai/langgraph) `StateGraph`. A `StateGraph` is a generalized graph that can model arbitrary state (i.e. `dict`), not just a `list` of messages. @@ -325,7 +335,7 @@ RAGBot is implemented with [LangGraph](https://github.com/langchain-ai/langgraph The final architecture is dead simple - just a call to a language model, parameterized by a system message. This allows the GPT to take on different personas and characters. This is clearly far less powerful than Assistants or RAGBots -(which have access to external sources of data/computation) - but it’s still valuable! A lot of popular GPTs are just +(which have access to external sources of data/computation) - but it's still valuable! A lot of popular GPTs are just system messages at the end of the day, and CharacterAI is crushing it despite largely just being system messages as well. diff --git a/backend/README.md b/backend/README.md index 18803d0aa..19b68ca4c 100644 --- a/backend/README.md +++ b/backend/README.md @@ -1 +1,26 @@ # backend + +## Database Migrations + +### Migration 5 - Checkpoint Management Update +This migration introduces a significant change to thread checkpoint management: + +#### Changes +- Transitions from single-table pickle storage to a robust multi-table checkpoint management system +- Implements LangGraph's latest checkpoint architecture for improved state persistence +- Preserves existing checkpoint data by renaming `checkpoints` table to `old_checkpoints` +- Introduces three new tables for better checkpoint management: + - `checkpoints`: Core checkpoint metadata + - `checkpoint_blobs`: Actual checkpoint data storage (compatible with LangGraph state serialization) + - `checkpoint_writes`: Tracks checkpoint write operations +- Adds runtime initialization via `ensure_setup()` in the lifespan event + +#### Impact +- **Breaking Change**: Historical threads/checkpoints (pre-migration) will not be accessible in the UI +- Previous checkpoint data remains preserved but inaccessible in the new system +- Designed to work seamlessly with LangGraph's state persistence requirements + +#### Migration Details +- **Up Migration**: Safely preserves existing data by renaming the table +- **Down Migration**: Restores original table structure if needed +- New checkpoint management tables are automatically created at application startup From a310032d6fe7671af323d6344812a7956fee0329 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 29 Jan 2025 16:24:40 -0500 Subject: [PATCH 16/18] Update backend/pyproject.toml --- backend/pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 74c04b568..cce173c74 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -5,7 +5,6 @@ description = "" authors = ["Your Name "] readme = "README.md" packages = [{include = "app"}] -package-mode = false [tool.poetry.dependencies] python = "^3.9.0,<3.12" From 005dde79caa865c0887652ebe205d8ef59d76551 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 29 Jan 2025 16:28:26 -0500 Subject: [PATCH 17/18] lint fix --- backend/app/message_types.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/app/message_types.py b/backend/app/message_types.py index 195867b7d..e5fe2e734 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,4 +1,4 @@ -from typing import Any, get_args +from typing import Any from langchain_core.messages import ( FunctionMessage, MessageLikeRepresentation, From 22721fa7e13de89203ac6a55ebd52ae60b4ed255 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 29 Jan 2025 16:41:00 -0500 Subject: [PATCH 18/18] lint --- backend/app/api/runs.py | 3 +-- backend/app/checkpoint.py | 2 +- backend/app/lifespan.py | 1 + backend/app/message_types.py | 7 ++++--- backend/app/storage.py | 10 ++++++---- 5 files changed, 13 insertions(+), 10 deletions(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 58133bace..8569bb366 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -4,11 +4,10 @@ import langsmith.client from fastapi import APIRouter, BackgroundTasks, HTTPException from fastapi.exceptions import RequestValidationError -from pydantic import ValidationError from langchain_core.messages import AnyMessage from langchain_core.runnables import RunnableConfig from langsmith.utils import tracing_is_enabled -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, ValidationError from sse_starlette import EventSourceResponse from app.agent import agent, chat_retrieval, chatbot diff --git a/backend/app/checkpoint.py b/backend/app/checkpoint.py index c0c1362b9..d56e896cc 100644 --- a/backend/app/checkpoint.py +++ b/backend/app/checkpoint.py @@ -62,7 +62,7 @@ async def setup(self) -> None: pool = AsyncConnectionPool( conninfo=conninfo, kwargs={"autocommit": True, "prepare_threshold": 0}, - open=False # Don't open in constructor + open=False, # Don't open in constructor ) await pool.open() diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index c69db270c..450947940 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -5,6 +5,7 @@ import orjson import structlog from fastapi import FastAPI + from app.checkpoint import AsyncPostgresCheckpoint _pg_pool = None diff --git a/backend/app/message_types.py b/backend/app/message_types.py index e5fe2e734..3c1525a86 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,16 +1,17 @@ from typing import Any + from langchain_core.messages import ( FunctionMessage, MessageLikeRepresentation, ToolMessage, + _message_from_dict, ) from langgraph.graph.message import Messages, add_messages -from langchain_core.messages import _message_from_dict from pydantic import Field class LiberalFunctionMessage(FunctionMessage): - content: Any = Field(default="") + content: Any = Field(default="") class LiberalToolMessage(ToolMessage): @@ -18,7 +19,7 @@ class LiberalToolMessage(ToolMessage): def _convert_pydantic_dict_to_message( - data: MessageLikeRepresentation + data: MessageLikeRepresentation, ) -> MessageLikeRepresentation: """Convert a dictionary to a message object if it matches message format.""" if ( diff --git a/backend/app/storage.py b/backend/app/storage.py index eea639f19..16ee4d824 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -126,7 +126,7 @@ async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant ) # Keep original format - return values as is values = state.values if state.values else None - + return { "values": values, "next": state.next, @@ -151,7 +151,7 @@ async def update_thread_state( } } ) - + # If current state is a dict (retrieval agent), maintain dict structure if current_state.values and isinstance(current_state.values, dict): if isinstance(values, dict): @@ -161,8 +161,10 @@ async def update_thread_state( state_values = {**current_state.values, "messages": values} else: # For message-only states (tools_agent, chatbot), just use the messages - state_values = values if isinstance(values, dict) and "messages" in values else values - + state_values = ( + values if isinstance(values, dict) and "messages" in values else values + ) + await agent.aupdate_state( { "configurable": {