From 0df9527964c98f32f00c7ab1670439b6cada8c06 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 26 Apr 2024 18:44:08 -0700 Subject: [PATCH 01/50] WIP --- .gitignore | 1 + backend/app/agent.py | 145 ++++++++-------- backend/app/api/runs.py | 77 ++++----- backend/app/langserve/__init__.py | 0 backend/app/langserve/client.py | 265 ++++++++++++++++++++++++++++++ backend/app/langserve/schema.py | 125 ++++++++++++++ backend/app/lifespan.py | 11 +- backend/app/server.py | 9 + backend/app/storage.py | 213 ++++++++++-------------- backend/app/stream.py | 98 ----------- backend/app/tools.py | 4 +- backend/poetry.lock | 121 +++++++------- backend/pyproject.toml | 2 +- compose.override.yml | 60 +++++++ docker-compose.yml | 2 +- frontend/src/App.tsx | 2 +- 16 files changed, 731 insertions(+), 404 deletions(-) create mode 100644 backend/app/langserve/__init__.py create mode 100644 backend/app/langserve/client.py create mode 100644 backend/app/langserve/schema.py delete mode 100644 backend/app/stream.py create mode 100644 compose.override.yml diff --git a/.gitignore b/.gitignore index 4d00501b5..544901d4a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ *.env .env.gcp.yaml postgres-volume/ +.langserve-data redis-volume/ backend/ui diff --git a/backend/app/agent.py b/backend/app/agent.py index f14cb2061..ed5f0b971 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -77,6 +77,15 @@ class AgentType(str, Enum): CHECKPOINTER = PostgresCheckpoint(serde=pickle, at=CheckpointAt.END_OF_STEP) +hack = get_tools_agent_executor( + [TOOLS[AvailableTools.TAVILY]()], + get_openai_llm(), + DEFAULT_SYSTEM_MESSAGE, + True, + CHECKPOINTER, +) + + def get_agent_executor( tools: list, agent: AgentType, @@ -204,7 +213,9 @@ 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-turbo") + 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: @@ -261,71 +272,71 @@ def __init__( ) -class ConfigurableRetrieval(RunnableBinding): - llm_type: LLMType - system_message: str = DEFAULT_SYSTEM_MESSAGE - assistant_id: Optional[str] = None - thread_id: Optional[str] = None - user_id: Optional[str] = None - - def __init__( - self, - *, - llm_type: LLMType = LLMType.GPT_35_TURBO, - system_message: str = DEFAULT_SYSTEM_MESSAGE, - assistant_id: Optional[str] = None, - thread_id: Optional[str] = None, - kwargs: Optional[Mapping[str, Any]] = None, - config: Optional[Mapping[str, Any]] = None, - **others: Any, - ) -> None: - others.pop("bound", None) - retriever = get_retriever(assistant_id, thread_id) - if llm_type == LLMType.GPT_35_TURBO: - llm = get_openai_llm() - elif llm_type == LLMType.GPT_4: - llm = get_openai_llm(model="gpt-4-turbo") - 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: - llm = get_anthropic_llm() - elif llm_type == LLMType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) - elif llm_type == LLMType.GEMINI: - llm = get_google_llm() - elif llm_type == LLMType.MIXTRAL: - llm = get_mixtral_fireworks() - elif llm_type == LLMType.OLLAMA: - llm = get_ollama_llm() - else: - raise ValueError("Unexpected llm type") - chatbot = get_retrieval_executor(llm, retriever, system_message, CHECKPOINTER) - super().__init__( - llm_type=llm_type, - system_message=system_message, - bound=chatbot, - kwargs=kwargs or {}, - config=config or {}, - ) - - -chat_retrieval = ( - ConfigurableRetrieval(llm_type=LLMType.GPT_35_TURBO, checkpoint=CHECKPOINTER) - .configurable_fields( - llm_type=ConfigurableField(id="llm_type", name="LLM Type"), - system_message=ConfigurableField(id="system_message", name="Instructions"), - assistant_id=ConfigurableField( - id="assistant_id", name="Assistant ID", is_shared=True - ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), - ) - .with_types( - input_type=Dict[str, Any], - output_type=Dict[str, Any], - ) -) +# class ConfigurableRetrieval(RunnableBinding): +# llm_type: LLMType +# system_message: str = DEFAULT_SYSTEM_MESSAGE +# assistant_id: Optional[str] = None +# thread_id: Optional[str] = None +# user_id: Optional[str] = None + +# def __init__( +# self, +# *, +# llm_type: LLMType = LLMType.GPT_35_TURBO, +# system_message: str = DEFAULT_SYSTEM_MESSAGE, +# assistant_id: Optional[str] = None, +# thread_id: Optional[str] = None, +# kwargs: Optional[Mapping[str, Any]] = None, +# config: Optional[Mapping[str, Any]] = None, +# **others: Any, +# ) -> None: +# others.pop("bound", None) +# retriever = get_retriever(assistant_id, thread_id) +# if llm_type == LLMType.GPT_35_TURBO: +# llm = get_openai_llm() +# elif llm_type == LLMType.GPT_4: +# llm = get_openai_llm(model="gpt-4-turbo") +# 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: +# llm = get_anthropic_llm() +# elif llm_type == LLMType.BEDROCK_CLAUDE2: +# llm = get_anthropic_llm(bedrock=True) +# elif llm_type == LLMType.GEMINI: +# llm = get_google_llm() +# elif llm_type == LLMType.MIXTRAL: +# llm = get_mixtral_fireworks() +# elif llm_type == LLMType.OLLAMA: +# llm = get_ollama_llm() +# else: +# raise ValueError("Unexpected llm type") +# chatbot = get_retrieval_executor(llm, retriever, system_message, CHECKPOINTER) +# super().__init__( +# llm_type=llm_type, +# system_message=system_message, +# bound=chatbot, +# kwargs=kwargs or {}, +# config=config or {}, +# ) + + +# chat_retrieval = ( +# ConfigurableRetrieval(llm_type=LLMType.GPT_35_TURBO, checkpoint=CHECKPOINTER) +# .configurable_fields( +# llm_type=ConfigurableField(id="llm_type", name="LLM Type"), +# system_message=ConfigurableField(id="system_message", name="Instructions"), +# assistant_id=ConfigurableField( +# id="assistant_id", name="Assistant ID", is_shared=True +# ), +# thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), +# ) +# .with_types( +# input_type=Dict[str, Any], +# output_type=Dict[str, Any], +# ) +# ) agent: Pregel = ( @@ -359,7 +370,7 @@ def __init__( default_key="agent", prefix_keys=True, chatbot=chatbot, - chat_retrieval=chat_retrieval, + # chat_retrieval=chat_retrieval, ) .with_types( input_type=Messages, diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 9300e9de9..7932f352a 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -1,11 +1,9 @@ +import json from typing import Any, Dict, Optional, Sequence, Union from uuid import UUID import langsmith.client -from fastapi import APIRouter, BackgroundTasks, HTTPException -from fastapi.exceptions import RequestValidationError -from langchain.pydantic_v1 import ValidationError -from langchain_core.messages import AnyMessage +from fastapi import APIRouter, HTTPException from langchain_core.runnables import RunnableConfig from langsmith.utils import tracing_is_enabled from pydantic import BaseModel, Field @@ -13,8 +11,8 @@ from app.agent import agent from app.auth.handlers import AuthedUser -from app.storage import get_assistant, get_thread -from app.stream import astream_state, to_sse +from app.storage import get_thread +from app.lifespan import get_langserve router = APIRouter() @@ -23,51 +21,22 @@ class CreateRunPayload(BaseModel): """Payload for creating a run.""" thread_id: str - input: Optional[Union[Sequence[AnyMessage], Dict[str, Any]]] = Field( - default_factory=dict - ) + input: Optional[Union[Sequence[dict], Dict[str, Any]]] = Field(default_factory=dict) config: Optional[RunnableConfig] = None -async def _run_input_and_config(payload: CreateRunPayload, user_id: str): - thread = await get_thread(user_id, payload.thread_id) - if not thread: - raise HTTPException(status_code=404, detail="Thread not found") - - 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"], - "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"]), - }, - } - - try: - if payload.input is not None: - agent.get_input_schema(config).validate(payload.input) - except ValidationError as e: - raise RequestValidationError(e.errors(), body=payload) - - return payload.input, config - - @router.post("") -async def create_run( - payload: CreateRunPayload, - user: AuthedUser, - background_tasks: BackgroundTasks, -): +async def create_run(payload: CreateRunPayload, user: AuthedUser): """Create a run.""" - 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 + thread = await get_thread(user["user_id"], payload.thread_id) + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + return await get_langserve().runs.create( + payload.thread_id, + thread["assistant_id"], + input=payload.input, + config=payload.config, + ) @router.post("/stream") @@ -76,9 +45,21 @@ async def stream_run( user: AuthedUser, ): """Create a run.""" - input_, config = await _run_input_and_config(payload, user["user_id"]) + thread = await get_thread(user["user_id"], payload.thread_id) + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") - return EventSourceResponse(to_sse(astream_state(agent, input_, config))) + return EventSourceResponse( + ( + {"event": e.event, "data": json.dumps(e.data)} + async for e in get_langserve().runs.stream( + payload.thread_id, + thread["assistant_id"], + input=payload.input, + config=payload.config, + ) + ) + ) @router.get("/input_schema") diff --git a/backend/app/langserve/__init__.py b/backend/app/langserve/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/app/langserve/client.py b/backend/app/langserve/client.py new file mode 100644 index 000000000..68e9037b7 --- /dev/null +++ b/backend/app/langserve/client.py @@ -0,0 +1,265 @@ +import sys +from typing import AsyncIterator, List, NamedTuple, Optional, Union + +import httpx +import httpx_sse +from httpx._types import QueryParamTypes + +from app.langserve.schema import ( + Assistant, + Config, + Metadata, + Run, + RunEvent, + StreamMode, + Thread, +) + + +def get_client(*, url: str = "http://localhost:8123") -> "LangServeClient": + client = httpx.AsyncClient( + base_url=url, + transport=httpx.AsyncHTTPTransport(retries=5), + timeout=httpx.Timeout(connect=5, read=60, write=60, pool=5), + ) + return LangServeClient(client) + + +class StreamPart(NamedTuple): + event: str + data: dict + + +class LangServeClient: + def __init__(self, client: httpx.AsyncClient) -> None: + self.http = HttpClient(client) + self.assistants = AssistantsClient(self.http) + self.threads = ThreadsClient(self.http) + self.runs = RunsClient(self.http) + + +class HttpClient: + def __init__(self, client: httpx.AsyncClient) -> None: + self.client = client + + async def get(self, path: str, *, params: QueryParamTypes = None) -> dict: + """Make a GET request.""" + r = await self.client.get(path, params=params) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + if sys.version_info >= (3, 11): + e.add_note((await r.aread()).decode()) + raise e + return r.json() + + async def post(self, path: str, *, json: dict) -> dict: + """Make a POST request.""" + r = await self.client.post(path, json=json) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + if sys.version_info >= (3, 11): + e.add_note((await r.aread()).decode()) + raise e + return r.json() + + async def put(self, path: str, *, json: dict) -> dict: + """Make a PUT request.""" + r = await self.client.put(path, json=json) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + if sys.version_info >= (3, 11): + e.add_note((await r.aread()).decode()) + raise e + return r.json() + + async def delete(self, path: str) -> None: + """Make a DELETE request.""" + r = await self.client.delete(path) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + if sys.version_info >= (3, 11): + e.add_note((await r.aread()).decode()) + raise e + + async def stream( + self, path: str, method: str, *, json: dict = None + ) -> AsyncIterator[StreamPart]: + """Stream the results of a request using SSE.""" + async with httpx_sse.aconnect_sse(self.client, method, path, json=json) as sse: + try: + sse.response.raise_for_status() + except httpx.HTTPStatusError as e: + if sys.version_info >= (3, 11): + e.add_note((await sse.response.aread()).decode()) + raise e + async for event in sse.aiter_sse(): + yield StreamPart(event.event, event.json() if event.data else None) + + +class AssistantsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + async def get(self, assistant_id: str) -> Assistant: + """Get an assistant by ID.""" + return await self.http.get(f"/assistants/{assistant_id}") + + async def create( + self, + graph_id: Optional[str], + config: Optional[Config] = None, + *, + metadata: Metadata = None, + ) -> Assistant: + """Create a new assistant.""" + return await self.http.post( + "/assistants", + json={"metadata": metadata, "graph_id": graph_id, "config": config or {}}, + ) + + async def upsert( + self, + assistant_id: str, + graph_id: str, + config: Optional[Config] = None, + *, + metadata: Metadata = None, + ) -> Assistant: + """Create or update an assistant.""" + return await self.http.put( + f"/assistants/{assistant_id}", + json={"metadata": metadata, "graph_id": graph_id, "config": config or {}}, + ) + + async def search( + self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 + ) -> list[Assistant]: + """Search for assistants.""" + return await self.http.post( + "/assistants/search", + json={"metadata": metadata, "limit": limit, "offset": offset}, + ) + + +class ThreadsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + async def get(self, thread_id: str) -> Thread: + """Get a thread by ID.""" + return await self.http.get(f"/threads/{thread_id}") + + async def create(self, *, metadata: Metadata = None) -> Thread: + """Create a new thread.""" + return await self.http.post("/threads", json={"metadata": metadata}) + + async def upsert(self, thread_id: str, *, metadata: Metadata) -> Thread: + """Create or update a thread.""" + return await self.http.put(f"/threads/{thread_id}", json={"metadata": metadata}) + + async def delete(self, thread_id: str) -> None: + """Delete a thread.""" + await self.http.delete(f"/threads/{thread_id}") + + async def search( + self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 + ) -> list[Thread]: + """Search for threads.""" + return await self.http.post( + "/threads/search", + json={"metadata": metadata, "limit": limit, "offset": offset}, + ) + + async def get_state(self, thread_id: str) -> dict: + """Get the state of a thread.""" + return await self.http.get(f"/threads/{thread_id}/state") + + async def update_state(self, thread_id: Union[str, Config], values: dict) -> None: + """Update the state of a thread.""" + if isinstance(thread_id, dict): + config = thread_id + thread_id_: str = thread_id["configurable"]["thread_id"] + else: + thread_id_ = thread_id + config = None + return await self.http.post( + f"/threads/{thread_id_}/state", json={"values": values, "config": config} + ) + + +class RunsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + def stream( + self, + thread_id: str, + assistant_id: str, + *, + input: Optional[dict] = None, + stream_mode: StreamMode = "values", + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + ) -> AsyncIterator[StreamPart]: + """Create a run and stream the results.""" + return self.http.stream( + f"/threads/{thread_id}/runs/stream", + "POST", + json={ + "input": input, + "config": config, + "metadata": metadata, + "stream_mode": stream_mode, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + }, + ) + + async def create( + self, + thread_id: str, + assistant_id: str, + *, + input: Optional[dict] = None, + stream_mode: StreamMode = "values", + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + ) -> Run: + """Create a background run.""" + return await self.http.post( + f"/threads/{thread_id}/runs", + json={ + "input": input, + "config": config, + "metadata": metadata, + "stream_mode": stream_mode, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + }, + ) + + async def list( + self, thread_id: str, *, limit: int = 10, offset: int = 0 + ) -> List[Run]: + """List runs.""" + return await self.http.get(f"/threads/{thread_id}/runs") + + async def get(self, thread_id: str, run_id: str) -> Run: + """Get a run.""" + return await self.http.get(f"/threads/{thread_id}/runs/{run_id}") + + async def list_events( + self, thread_id: str, run_id: str, *, limit: int = 10, offset: int = 0 + ) -> List[RunEvent]: + """List run events.""" + return await self.http.get(f"/threads/{thread_id}/runs/{run_id}/events") diff --git a/backend/app/langserve/schema.py b/backend/app/langserve/schema.py new file mode 100644 index 000000000..a28dec9bd --- /dev/null +++ b/backend/app/langserve/schema.py @@ -0,0 +1,125 @@ +from datetime import datetime +from typing import Any, Literal, Optional, Sequence, Union, TypedDict + +from pydantic import BaseModel, Field + + +Metadata = Optional[dict[str, Any]] + +RunStatus = Literal["pending", "running", "error", "success", "timeout", "interrupted"] + +StreamMode = Literal["values", "messages", "updates", "events"] + + +class Config(TypedDict, total=False): + tags: list[str] + """ + Tags for this call and any sub-calls (eg. a Chain calling an LLM). + You can use these to filter calls. + """ + + recursion_limit: int + """ + Maximum number of times a call can recurse. If not provided, defaults to 25. + """ + + configurable: dict[str, Any] + """ + Runtime values for attributes previously made configurable on this Runnable, + or sub-Runnables, through .configurable_fields() or .configurable_alternatives(). + Check .output_schema() for a description of the attributes that have been made + configurable. + """ + + +class Assistant(TypedDict): + """Assistant model.""" + + assistant_id: str + """The ID of the assistant.""" + graph_id: Optional[str] + """The ID of the graph.""" + config: Config + """The assistant config.""" + created_at: datetime + """The time the assistant was created.""" + updated_at: datetime + """The last time the assistant was updated.""" + metadata: Metadata + """The assistant metadata.""" + + +class Thread(TypedDict): + thread_id: str + """The ID of the thread.""" + created_at: datetime + """The time the thread was created.""" + updated_at: datetime + """The last time the thread was updated.""" + metadata: Metadata + """The thread metadata.""" + + +class JsonMessage(TypedDict): + role: str + """The role of the message.""" + content: str + """The content of the message.""" + + +class ThreadState(TypedDict): + values: Union[list[JsonMessage], dict[str, Any]] + """The state values.""" + next: Sequence[str] + """The next nodes to execute. If empty, the thread is done until new input is + received.""" + config: Config + """Config used to fetch/use this state""" + parent_config: Optional[Config] = None + """Config used to fetch the parent state, if any""" + + +class Run(TypedDict): + run_id: str + """The ID of the run.""" + thread_id: str + """The ID of the thread.""" + assistant_id: str + """The assistant that was used for this run.""" + created_at: datetime + """The time the run was created.""" + updated_at: datetime + """The last time the run was updated.""" + status: RunStatus + """The status of the run. One of 'pending', 'running', 'error', 'success'.""" + metadata: Metadata + """The run metadata.""" + + +class RunEvent(TypedDict): + event_id: str + """The ID of the event.""" + run_id: str + """The ID of the run.""" + received_at: datetime + """The time the event was received.""" + span_id: str + """The ID of the span.""" + event: str + """The event type.""" + name: str + """The event name.""" + data: dict + """The event data.""" + metadata: dict + """The event metadata.""" + tags: list[str] + """The event tags.""" + + +class SearchRequest(BaseModel): + """Payload for listing assistants/threads/runs.""" + + metadata: Metadata = Field(None, description="Metadata to search for.") + limit: int = Field(10, description="Maximum number to return.") + offset: int = Field(0, description="Offset to start from.") diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index 9fd47fd2c..b36a7b60b 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -5,14 +5,20 @@ import orjson import structlog from fastapi import FastAPI +from app.langserve.client import LangServeClient, get_client _pg_pool = None +_langserve = None def get_pg_pool() -> asyncpg.pool.Pool: return _pg_pool +def get_langserve() -> LangServeClient: + return _langserve + + async def _init_connection(conn) -> None: await conn.set_type_codec( "json", @@ -46,7 +52,7 @@ async def lifespan(app: FastAPI): cache_logger_on_first_use=True, ) - global _pg_pool + global _pg_pool, _langserve _pg_pool = await asyncpg.create_pool( database=os.environ["POSTGRES_DB"], @@ -56,6 +62,9 @@ async def lifespan(app: FastAPI): port=os.environ["POSTGRES_PORT"], init=_init_connection, ) + _langserve = get_client(url=os.environ["LANGSERVE_URL"]) yield await _pg_pool.close() + await _langserve.http.client.aclose() _pg_pool = None + _langserve = None diff --git a/backend/app/server.py b/backend/app/server.py index 65ef6bb77..78650b8be 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -1,6 +1,8 @@ import os from pathlib import Path +from fastapi.exception_handlers import http_exception_handler +import httpx import orjson import structlog from fastapi import FastAPI, Form, UploadFile @@ -18,6 +20,13 @@ app = FastAPI(title="OpenGPTs API", lifespan=lifespan) +@app.exception_handler(httpx.HTTPStatusError) +async def httpx_http_status_error_handler(request, exc: httpx.HTTPStatusError): + return await http_exception_handler( + request, HTTPException(status_code=exc.response.status_code, detail=str(exc)) + ) + + # Get root of app, used to point to directory containing static files ROOT = Path(__file__).parent.parent diff --git a/backend/app/storage.py b/backend/app/storage.py index 17b6aebc9..6e9d098c6 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -1,34 +1,57 @@ -from datetime import datetime, timezone from typing import Any, List, Optional, Sequence, Union from langchain_core.messages import AnyMessage from langchain_core.runnables import RunnableConfig -from app.agent import agent -from app.lifespan import get_pg_pool +from app.lifespan import get_langserve, get_pg_pool from app.schema import Assistant, Thread, User 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) + assistants = await get_langserve().assistants.search( + metadata={"user_id": user_id}, limit=100 + ) + return [ + Assistant( + assistant_id=a["assistant_id"], + updated_at=a["updated_at"], + config=a["config"], + **a["metadata"], + ) + for a in assistants + ] 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( - "SELECT * FROM assistant WHERE assistant_id = $1 AND (user_id = $2 OR public IS true)", - assistant_id, - user_id, + assistant = await get_langserve().assistants.get(assistant_id) + if ( + assistant["metadata"]["user_id"] != user_id + and not assistant["metadata"]["public"] + ): + return None + else: + return Assistant( + assistant_id=assistant["assistant_id"], + updated_at=assistant["updated_at"], + config=assistant["config"], + **assistant["metadata"], ) 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;")) + assistants = await get_langserve().assistants.search(metadata={"public": True}) + return [ + Assistant( + assistant_id=a["assistant_id"], + updated_at=a["updated_at"], + config=a["config"], + **a["metadata"], + ) + for a in assistants + ] async def put_assistant( @@ -46,34 +69,20 @@ async def put_assistant( Returns: return the assistant model if no exception is raised. """ - updated_at = datetime.now(timezone.utc) - async with get_pg_pool().acquire() as conn: - async with conn.transaction(): - await conn.execute( - ( - "INSERT INTO assistant (assistant_id, user_id, name, config, updated_at, public) VALUES ($1, $2, $3, $4, $5, $6) " - "ON CONFLICT (assistant_id) DO UPDATE SET " - "user_id = EXCLUDED.user_id, " - "name = EXCLUDED.name, " - "config = EXCLUDED.config, " - "updated_at = EXCLUDED.updated_at, " - "public = EXCLUDED.public;" - ), - assistant_id, - user_id, - name, - config, - updated_at, - public, - ) - return { - "assistant_id": assistant_id, - "user_id": user_id, - "name": name, - "config": config, - "updated_at": updated_at, - "public": public, - } + assistant = await get_langserve().assistants.upsert( + assistant_id, + "agent", + config, + metadata={"user_id": user_id, "public": public, "name": name}, + ) + return Assistant( + assistant_id=assistant["assistant_id"], + updated_at=assistant["updated_at"], + config=assistant["config"], + name=name, + public=public, + user_id=user_id, + ) async def delete_assistant(user_id: str, assistant_id: str) -> None: @@ -88,35 +97,40 @@ 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) + threads = await get_langserve().threads.search( + metadata={"user_id": user_id}, limit=100 + ) + + return [ + Thread( + thread_id=t["thread_id"], + user_id=t["metadata"]["user_id"], + assistant_id=t["metadata"]["assistant_id"], + name=t["metadata"]["name"], + updated_at=t["updated_at"], + ) + for t in threads + ] 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( - "SELECT * FROM thread WHERE thread_id = $1 AND user_id = $2", - thread_id, - user_id, + thread = await get_langserve().threads.get(thread_id) + if thread["metadata"]["user_id"] != user_id: + return None + else: + return Thread( + thread_id=thread["thread_id"], + user_id=thread["metadata"]["user_id"], + assistant_id=thread["metadata"]["assistant_id"], + name=thread["metadata"]["name"], + updated_at=thread["updated_at"], ) async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant): """Get state for a thread.""" - state = await agent.aget_state( - { - "configurable": { - **assistant["config"]["configurable"], - "thread_id": thread_id, - "assistant_id": assistant["assistant_id"], - } - } - ) - return { - "values": state.values, - "next": state.next, - } + return await get_langserve().threads.get_state(thread_id) async def update_thread_state( @@ -127,86 +141,35 @@ async def update_thread_state( assistant: Assistant, ): """Add state to a thread.""" - await agent.aupdate_state( - { - "configurable": { - **assistant["config"]["configurable"], - **config["configurable"], - "assistant_id": assistant["assistant_id"], - } - }, - values, - ) + return await get_langserve().threads.update_state(config, values) async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assistant): """Get the history of a thread.""" - return [ - { - "values": c.values, - "next": c.next, - "config": c.config, - "parent": c.parent_config, - } - async for c in agent.aget_state_history( - { - "configurable": { - **assistant["config"]["configurable"], - "thread_id": thread_id, - "assistant_id": assistant["assistant_id"], - } - } - ) - ] + raise NotImplementedError async def put_thread( user_id: str, thread_id: str, *, assistant_id: str, name: str ) -> Thread: """Modify a thread.""" - updated_at = datetime.now(timezone.utc) - assistant = await get_assistant(user_id, assistant_id) - metadata = ( - {"assistant_type": assistant["config"]["configurable"]["type"]} - if assistant - else None + thread = await get_langserve().threads.upsert( + thread_id, + metadata={"user_id": user_id, "assistant_id": assistant_id, "name": name}, + ) + return Thread( + thread_id=thread["thread_id"], + user_id=thread["metadata"].pop("user_id"), + assistant_id=thread["metadata"].pop("assistant_id"), + name=thread["metadata"].pop("name"), + updated_at=thread["updated_at"], + metadata=thread["metadata"], ) - async with get_pg_pool().acquire() as conn: - await conn.execute( - ( - "INSERT INTO thread (thread_id, user_id, assistant_id, name, updated_at, metadata) VALUES ($1, $2, $3, $4, $5, $6) " - "ON CONFLICT (thread_id) DO UPDATE SET " - "user_id = EXCLUDED.user_id," - "assistant_id = EXCLUDED.assistant_id, " - "name = EXCLUDED.name, " - "updated_at = EXCLUDED.updated_at, " - "metadata = EXCLUDED.metadata;" - ), - thread_id, - user_id, - assistant_id, - name, - updated_at, - metadata, - ) - return { - "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): """Delete a thread by ID.""" - async with get_pg_pool().acquire() as conn: - await conn.execute( - "DELETE FROM thread WHERE thread_id = $1 AND user_id = $2", - thread_id, - user_id, - ) + await get_langserve().threads.delete(thread_id) async def get_or_create_user(sub: str) -> tuple[User, bool]: diff --git a/backend/app/stream.py b/backend/app/stream.py deleted file mode 100644 index bcf72193a..000000000 --- a/backend/app/stream.py +++ /dev/null @@ -1,98 +0,0 @@ -import functools -from typing import Any, AsyncIterator, Dict, Optional, Sequence, Union - -import orjson -import structlog -from langchain_core.messages import AnyMessage, BaseMessage, message_chunk_to_message -from langchain_core.runnables import Runnable, RunnableConfig - -logger = structlog.get_logger(__name__) - -MessagesStream = AsyncIterator[Union[list[AnyMessage], str]] - - -async def astream_state( - app: Runnable, - input: Union[Sequence[AnyMessage], Dict[str, Any]], - config: RunnableConfig, -) -> MessagesStream: - """Stream messages from the runnable.""" - root_run_id: Optional[str] = None - messages: dict[str, BaseMessage] = {} - - async for event in app.astream_events( - input, config, version="v1", stream_mode="values", exclude_tags=["nostream"] - ): - if event["event"] == "on_chain_start" and not root_run_id: - root_run_id = event["run_id"] - yield root_run_id - elif event["event"] == "on_chain_stream" and event["run_id"] == root_run_id: - new_messages: list[BaseMessage] = [] - - # event["data"]["chunk"] is a Sequence[AnyMessage] or a Dict[str, Any] - state_chunk_msgs: Union[Sequence[AnyMessage], Dict[str, Any]] = event[ - "data" - ]["chunk"] - if isinstance(state_chunk_msgs, dict): - state_chunk_msgs = event["data"]["chunk"]["messages"] - - for msg in state_chunk_msgs: - msg_id = msg["id"] if isinstance(msg, dict) else msg.id - if msg_id in messages and msg == messages[msg_id]: - continue - else: - messages[msg_id] = msg - new_messages.append(msg) - if new_messages: - yield new_messages - elif event["event"] == "on_chat_model_stream": - message: BaseMessage = event["data"]["chunk"] - if message.id not in messages: - messages[message.id] = message - else: - messages[message.id] += message - yield [messages[message.id]] - - -def _default(obj) -> Any: - if hasattr(obj, "dict") and callable(obj.dict): - return obj.dict() - raise TypeError(f"Object of type {obj.__class__.__name__} is not JSON serializable") - - -dumps = functools.partial(orjson.dumps, default=_default) - - -async def to_sse(messages_stream: MessagesStream) -> AsyncIterator[dict]: - """Consume the stream into an EventSourceResponse""" - try: - async for chunk in messages_stream: - # EventSourceResponse expects a string for data - # so after serializing into bytes, we decode into utf-8 - # to get a string. - if isinstance(chunk, str): - yield { - "event": "metadata", - "data": orjson.dumps({"run_id": chunk}).decode(), - } - else: - yield { - "event": "data", - "data": dumps( - [message_chunk_to_message(msg) for msg in chunk] - ).decode(), - } - except Exception: - logger.warn("error in stream", exc_info=True) - yield { - "event": "error", - # Do not expose the error message to the client since - # the message may contain sensitive information. - # We'll add client side errors for validation as well. - "data": orjson.dumps( - {"status_code": 500, "message": "Internal Server Error"} - ).decode(), - } - - # Send an end event to signal the end of the stream - yield {"event": "end"} diff --git a/backend/app/tools.py b/backend/app/tools.py index cfc3e7133..a92de682e 100644 --- a/backend/app/tools.py +++ b/backend/app/tools.py @@ -25,8 +25,6 @@ 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") @@ -205,6 +203,8 @@ class DallE(BaseTool): def get_retriever(assistant_id: str, thread_id: str): + from app.upload import vstore + return vstore.as_retriever( search_kwargs={"filter": {"namespace": {"$in": [assistant_id, thread_id]}}} ) diff --git a/backend/poetry.lock b/backend/poetry.lock index 44be31fac..f1b7af817 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1879,30 +1879,31 @@ six = "*" [[package]] name = "langgraph" -version = "0.0.38" +version = "0.0.39" description = "langgraph" optional = false python-versions = "<4.0,>=3.9.0" files = [ - {file = "langgraph-0.0.38-py3-none-any.whl", hash = "sha256:8b26f025f2163019cb38e677f6cef8d8f944e791f7ddb84402c211e7432e8330"}, - {file = "langgraph-0.0.38.tar.gz", hash = "sha256:c13ce73c4764787e31f20854ebae505140ee5b750e8ba07c29e45969ce591c7b"}, + {file = "langgraph-0.0.39-py3-none-any.whl", hash = "sha256:acb4bae704a9467ba5e07c892174f345651b4c930853a37cb4ceab7964cf8222"}, + {file = "langgraph-0.0.39.tar.gz", hash = "sha256:cafcc8254b41bae55c4429b7925af83c846fd5e4c24159d1e03b98b2ca7c79a9"}, ] 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-19,7 +19,7 @@ orjson = "^3.9.10" python-multipart = "^0.0.6" tiktoken = "^0.5.1" langchain = ">=0.0.338" -langgraph = "^0.0.38" +langgraph = "^0.0.39" pydantic = "<2.0" langchain-openai = "^0.1.3" beautifulsoup4 = "^4.12.3" diff --git a/compose.override.yml b/compose.override.yml new file mode 100644 index 000000000..4df0ccf94 --- /dev/null +++ b/compose.override.yml @@ -0,0 +1,60 @@ +services: + postgres: + image: pgvector/pgvector:pg16 + langserve: + # Prefer the build section below + pull_policy: build + # Add langchain_community to the image + build: + dockerfile_inline: | + FROM langchain/langserve + COPY ./backend /opengpts + RUN pip install -e /opengpts + environment: + LANGSERVE_GRAPHS: '{"agent": "app.agent:hack"}' + env_file: + - .env + postgres-setup: + image: migrate/migrate + depends_on: + postgres: + condition: service_healthy + volumes: + - ./backend/migrations:/migrations + env_file: + - .env + command: ["-path", "/migrations", "-database", "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", "up"] + backend: + container_name: opengpts-backend + build: + context: backend + ports: + - "8100:8000" # Backend is accessible on localhost:8100 + depends_on: + # langserve: + # condition: service_healthy + postgres-setup: + condition: service_completed_successfully + env_file: + - .env + volumes: + - ./backend:/backend + environment: + POSTGRES_HOST: "postgres" + LANGSERVE_URL: "http://langserve:8000" + command: + - --reload + frontend: + container_name: opengpts-frontend + build: + context: frontend + depends_on: + backend: + condition: service_healthy + volumes: + - ./frontend/src:/frontend/src + ports: + - "5173:5173" # Frontend is accessible on localhost:5173 + environment: + VITE_BACKEND_URL: "http://backend:8000" + diff --git a/docker-compose.yml b/docker-compose.yml index 6d59cb42b..1dc110efb 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -10,7 +10,7 @@ services: interval: 5s retries: 5 ports: - - "5433:5432" + - "5434:5432" env_file: - .env volumes: diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index 0acc62f3c..8ea651bf8 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -61,7 +61,7 @@ function App(props: { edit?: boolean }) { { content: message.message, additional_kwargs: {}, - type: "human", + role: "human", example: false, id: `human-${Math.random()}`, }, From 890184579716609ed5aad8dc66047084daa1fb56 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 07:47:56 -0700 Subject: [PATCH 02/50] Update core --- backend/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 1e4ee2b1c..47b542c01 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -39,7 +39,7 @@ 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 = "^0.1.50" pyjwt = {extras = ["crypto"], version = "^2.8.0"} langchain-anthropic = "^0.1.8" structlog = "^24.1.0" From 8ebf5456585039ad08a0e56b875a2e9d87375b32 Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Fri, 3 May 2024 10:06:03 -0700 Subject: [PATCH 03/50] cr --- backend/app/new_chatbot.py | 70 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) create mode 100644 backend/app/new_chatbot.py diff --git a/backend/app/new_chatbot.py b/backend/app/new_chatbot.py new file mode 100644 index 000000000..122f2136d --- /dev/null +++ b/backend/app/new_chatbot.py @@ -0,0 +1,70 @@ +from langchain_core.messages import SystemMessage +from langgraph.graph import StateGraph, END +from typing import TypedDict, Annotated, Sequence +import operator +from langchain_core.messages import BaseMessage +from enum import Enum +from app.llms import ( + get_anthropic_llm, + get_google_llm, + get_mixtral_fireworks, + get_ollama_llm, + get_openai_llm, +) + +class LLMType(str, Enum): + GPT_35_TURBO = "GPT 3.5 Turbo" + GPT_4 = "GPT 4 Turbo" + AZURE_OPENAI = "GPT 4 (Azure OpenAI)" + CLAUDE2 = "Claude 2" + BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" + GEMINI = "GEMINI" + MIXTRAL = "Mixtral" + OLLAMA = "Ollama" + + +def get_llm( + llm_type: LLMType, +): + if llm_type == LLMType.GPT_35_TURBO: + llm = get_openai_llm() + elif llm_type == LLMType.GPT_4: + llm = get_openai_llm(gpt_4=True) + elif llm_type == LLMType.AZURE_OPENAI: + llm = get_openai_llm(azure=True) + elif llm_type == LLMType.CLAUDE2: + llm = get_anthropic_llm() + elif llm_type == LLMType.BEDROCK_CLAUDE2: + llm = get_anthropic_llm(bedrock=True) + elif llm_type == LLMType.GEMINI: + llm = get_google_llm() + elif llm_type == LLMType.MIXTRAL: + llm = get_mixtral_fireworks() + elif llm_type == LLMType.OLLAMA: + llm = get_ollama_llm() + else: + raise ValueError + return llm + + +class AgentState(TypedDict): + messages: Annotated[Sequence[BaseMessage], operator.add] + + +DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." + + +def _call_model(state, config): + m = get_llm(config['configurable'].get('model', LLMType.GPT_35_TURBO)) + system_message = config['configurable'].get("system_message", DEFAULT_SYSTEM_MESSAGE) + messages = [SystemMessage(content=system_message)] + state['messages'] + response = m.invoke(messages) + return {"messages": [response]} + +# Define a new graph +workflow = StateGraph(AgentState) +workflow.add_node("model", _call_model) +workflow.set_entry_point("model") +workflow.add_edge("model", END) + +graph = workflow.compile() From 1b320a37ddaf6ef08ecb23fc3d47d3631a6cf479 Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Fri, 3 May 2024 11:01:23 -0700 Subject: [PATCH 04/50] cr --- backend/app/new_agent.py | 193 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 193 insertions(+) create mode 100644 backend/app/new_agent.py diff --git a/backend/app/new_agent.py b/backend/app/new_agent.py new file mode 100644 index 000000000..dbeba264f --- /dev/null +++ b/backend/app/new_agent.py @@ -0,0 +1,193 @@ +from typing import cast + +from langchain.tools import BaseTool +from langchain_core.language_models.base import LanguageModelLike +from langchain_core.messages import ( + AIMessage, + FunctionMessage, + HumanMessage, + SystemMessage, + ToolMessage, +) +from langgraph.checkpoint import BaseCheckpointSaver +from langgraph.graph import END +from langgraph.graph.message import MessageGraph +from langgraph.prebuilt import ToolExecutor, ToolInvocation +from app.tools import ( + RETRIEVAL_DESCRIPTION, AvailableTools, TOOLS, get_retrieval_tool +) + +from app.message_types import LiberalToolMessage +from enum import Enum +from app.llms import ( + get_anthropic_llm, + get_google_llm, + get_mixtral_fireworks, + get_ollama_llm, + get_openai_llm, +) +class LLMType(str, Enum): + GPT_35_TURBO = "GPT 3.5 Turbo" + GPT_4 = "GPT 4 Turbo" + AZURE_OPENAI = "GPT 4 (Azure OpenAI)" + CLAUDE2 = "Claude 2" + BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" + GEMINI = "GEMINI" + MIXTRAL = "Mixtral" + OLLAMA = "Ollama" + + +def get_llm( + llm_type: LLMType, +): + if llm_type == LLMType.GPT_35_TURBO: + llm = get_openai_llm() + elif llm_type == LLMType.GPT_4: + llm = get_openai_llm(gpt_4=True) + elif llm_type == LLMType.AZURE_OPENAI: + llm = get_openai_llm(azure=True) + elif llm_type == LLMType.CLAUDE2: + llm = get_anthropic_llm() + elif llm_type == LLMType.BEDROCK_CLAUDE2: + llm = get_anthropic_llm(bedrock=True) + elif llm_type == LLMType.GEMINI: + llm = get_google_llm() + elif llm_type == LLMType.MIXTRAL: + llm = get_mixtral_fireworks() + elif llm_type == LLMType.OLLAMA: + llm = get_ollama_llm() + else: + raise ValueError + return llm + +async def _get_messages(messages, system_message): + msgs = [] + for m in messages: + if isinstance(m, LiberalToolMessage): + _dict = m.dict() + _dict["content"] = str(_dict["content"]) + m_c = ToolMessage(**_dict) + msgs.append(m_c) + elif isinstance(m, FunctionMessage): + # anthropic doesn't like function messages + msgs.append(HumanMessage(content=str(m.content))) + else: + msgs.append(m) + + return [SystemMessage(content=system_message)] + msgs + + +DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." +def get_tools(tools, assistant_id, thread_id, retrieval_description=RETRIEVAL_DESCRIPTION): + _tools = [] + for _tool in tools: + if _tool["type"] == AvailableTools.RETRIEVAL: + if assistant_id is None or thread_id is None: + raise ValueError( + "Both assistant_id and thread_id must be provided if Retrieval tool is used" + ) + _tools.append( + get_retrieval_tool(assistant_id, thread_id, retrieval_description) + ) + else: + tool_config = _tool.get("config", {}) + _returned_tools = TOOLS[_tool["type"]](**tool_config) + if isinstance(_returned_tools, list): + _tools.extend(_returned_tools) + else: + _tools.append(_returned_tools) + return _tools + + +async def agent(messages, config): + _config = config['configurable'] + system_message = _config.get('system_message', DEFAULT_SYSTEM_MESSAGE) + llm = get_llm(_config.get('agent_type', LLMType.GPT_35_TURBO)) + tools = get_tools(_config.get("tools"), _config.get("assistant_id"), _config.get("thread_id"), _config.get("retrieval_description")) + if tools: + llm = llm.bind(tools) + messages = await _get_messages(messages, system_message) + response = llm.invoke(messages) + return response + + +# Define the function that determines whether to continue or not +def should_continue(messages): + last_message = messages[-1] + # If there is no function call, then we finish + if not last_message.tool_calls: + return "end" + # Otherwise if there is, we continue + else: + return "continue" + +# Define the function to execute tools +async def call_tool(messages, _config): + tools = get_tools(_config.get("tools"), _config.get("assistant_id"), _config.get("thread_id"), + _config.get("retrieval_description")) + + tool_executor = ToolExecutor(tools) + actions: list[ToolInvocation] = [] + # Based on the continue condition + # we know the last message involves a function call + last_message = cast(AIMessage, messages[-1]) + for tool_call in last_message.tool_calls: + # We construct a ToolInvocation from the function_call + actions.append( + ToolInvocation( + tool=tool_call["name"], + tool_input=tool_call["args"], + ) + ) + # We call the tool_executor and get back a response + responses = await tool_executor.abatch(actions) + # We use the response to create a ToolMessage + tool_messages = [ + LiberalToolMessage( + tool_call_id=tool_call["id"], + name=tool_call["name"], + content=response, + ) + for tool_call, response in zip(last_message.tool_calls, responses) + ] + return tool_messages + +workflow = MessageGraph() + +# Define the two nodes we will cycle between +workflow.add_node("agent", agent) +workflow.add_node("action", call_tool) + +# Set the entrypoint as `agent` +# This means that this node is the first one called +workflow.set_entry_point("agent") + +# We now add a conditional edge +workflow.add_conditional_edges( + # First, we define the start node. We use `agent`. + # This means these are the edges taken after the `agent` node is called. + "agent", + # Next, we pass in the function that will determine which node is called next. + should_continue, + # Finally we pass in a mapping. + # The keys are strings, and the values are other nodes. + # END is a special node marking that the graph should finish. + # What will happen is we will call `should_continue`, and then the output of that + # will be matched against the keys in this mapping. + # Based on which one it matches, that node will then be called. + { + # If `tools`, then we call the tool node. + "continue": "action", + # Otherwise we finish. + "end": END, + }, +) + +# We now add a normal edge from `tools` to `agent`. +# This means that after `tools` is called, `agent` node is called next. +workflow.add_edge("action", "agent") + +# Finally, we compile it! +# This compiles it into a LangChain Runnable, +# meaning you can use it as you would any other runnable +graph = workflow.compile() \ No newline at end of file From 398d6a8356c2015306e85e4f0eb9f908070d359f Mon Sep 17 00:00:00 2001 From: Harrison Chase Date: Fri, 3 May 2024 12:57:03 -0700 Subject: [PATCH 05/50] cr --- backend/app/new_rag.py | 184 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 184 insertions(+) create mode 100644 backend/app/new_rag.py diff --git a/backend/app/new_rag.py b/backend/app/new_rag.py new file mode 100644 index 000000000..1a55c9789 --- /dev/null +++ b/backend/app/new_rag.py @@ -0,0 +1,184 @@ +import operator +from typing import Annotated, List, Sequence, TypedDict +from uuid import uuid4 + +from langchain_core.language_models.base import LanguageModelLike +from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage +from langchain_core.prompts import PromptTemplate +from langchain_core.retrievers import BaseRetriever +from langchain_core.runnables import chain +from langgraph.checkpoint import BaseCheckpointSaver +from langgraph.graph import END +from langgraph.graph.state import StateGraph + +from app.message_types import LiberalToolMessage, add_messages_liberal +from app.tools import get_retriever +from enum import Enum +from app.llms import ( + get_anthropic_llm, + get_google_llm, + get_mixtral_fireworks, + get_ollama_llm, + get_openai_llm, +) + +class LLMType(str, Enum): + GPT_35_TURBO = "GPT 3.5 Turbo" + GPT_4 = "GPT 4 Turbo" + AZURE_OPENAI = "GPT 4 (Azure OpenAI)" + CLAUDE2 = "Claude 2" + BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" + GEMINI = "GEMINI" + MIXTRAL = "Mixtral" + OLLAMA = "Ollama" + +search_prompt = PromptTemplate.from_template( + """Given the conversation below, come up with a search query to look up. + +This search query can be either a few words or question + +Return ONLY this search query, nothing more. + +>>> Conversation: +{conversation} +>>> END OF CONVERSATION + +Remember, return ONLY the search query that will help you when formulating a response to the above conversation.""" +) + + +response_prompt_template = """{instructions} + +Respond to the user using ONLY the context provided below. Do not make anything up. + +{context}""" + +def get_llm( + llm_type: LLMType, +): + if llm_type == LLMType.GPT_35_TURBO: + llm = get_openai_llm() + elif llm_type == LLMType.GPT_4: + llm = get_openai_llm(gpt_4=True) + elif llm_type == LLMType.AZURE_OPENAI: + llm = get_openai_llm(azure=True) + elif llm_type == LLMType.CLAUDE2: + llm = get_anthropic_llm() + elif llm_type == LLMType.BEDROCK_CLAUDE2: + llm = get_anthropic_llm(bedrock=True) + elif llm_type == LLMType.GEMINI: + llm = get_google_llm() + elif llm_type == LLMType.MIXTRAL: + llm = get_mixtral_fireworks() + elif llm_type == LLMType.OLLAMA: + llm = get_ollama_llm() + else: + raise ValueError + return llm + + + +class AgentState(TypedDict): + messages: Annotated[List[BaseMessage], add_messages_liberal] + msg_count: Annotated[int, operator.add] + +DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." + +def _get_messages(messages, system_message=DEFAULT_SYSTEM_MESSAGE): + chat_history = [] + for m in messages: + if isinstance(m, AIMessage): + if not m.tool_calls: + chat_history.append(m) + if isinstance(m, HumanMessage): + chat_history.append(m) + response = messages[-1].content + content = "\n".join([d.page_content for d in response]) + return [ + SystemMessage( + content=response_prompt_template.format( + instructions=system_message, context=content + ) + ) + ] + chat_history + +@chain +async def get_search_query(messages: Sequence[BaseMessage], config): + llm = config['configurable'].get("llm_type", LLMType.GPT_35_TURBO) + convo = [] + for m in messages: + if isinstance(m, AIMessage): + if "function_call" not in m.additional_kwargs: + convo.append(f"AI: {m.content}") + if isinstance(m, HumanMessage): + convo.append(f"Human: {m.content}") + conversation = "\n".join(convo) + prompt = await search_prompt.ainvoke({"conversation": conversation}) + response = await llm.ainvoke(prompt, {"tags": ["nostream"]}) + return response + +async def invoke_retrieval(state: AgentState): + messages = state["messages"] + if len(messages) == 1: + human_input = messages[-1]["content"] + return { + "messages": [ + AIMessage( + content="", + tool_calls=[ + { + "id": uuid4().hex, + "name": "retrieval", + "args": {"query": human_input}, + } + ], + ) + ] + } + else: + search_query = await get_search_query.ainvoke(messages) + return { + "messages": [ + AIMessage( + id=search_query.id, + content="", + tool_calls=[ + { + "id": uuid4().hex, + "name": "retrieval", + "args": {"query": search_query.content}, + } + ], + ) + ] + } + +async def retrieve(state: AgentState, config): + retriever = get_retriever( + config['configurable']['assistant_id'], + config['configurable']['thread_id'], + ) + messages = state["messages"] + params = messages[-1].tool_calls[0] + query = params["args"]["query"] + response = await retriever.ainvoke(query) + msg = LiberalToolMessage( + name="retrieval", content=response, tool_call_id=params["id"] + ) + return {"messages": [msg], "msg_count": 1} + +def call_model(state: AgentState, config): + messages = state["messages"] + llm = get_llm(config['configurable'].get("llm_type", LLMType)) + response = llm.invoke(_get_messages(messages)) + return {"messages": [response], "msg_count": 1} + +workflow = StateGraph(AgentState) +workflow.add_node("invoke_retrieval", invoke_retrieval) +workflow.add_node("retrieve", retrieve) +workflow.add_node("response", call_model) +workflow.set_entry_point("invoke_retrieval") +workflow.add_edge("invoke_retrieval", "retrieve") +workflow.add_edge("retrieve", "response") +workflow.add_edge("response", END) +graph = workflow.compile() \ No newline at end of file From c592e4166212e0ff389817cf6560a0398a0d5c32 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 12:45:11 -0700 Subject: [PATCH 06/50] Use published langgraph-sdk and langgraph-cli --- Makefile | 4 + backend/.gitignore | 1 + backend/app/api/runs.py | 1 + backend/app/chatbot.py | 5 +- backend/app/langserve/__init__.py | 0 backend/app/langserve/client.py | 265 ------------------------------ backend/app/langserve/schema.py | 125 -------------- backend/app/lifespan.py | 2 +- backend/app/message_types.py | 36 +--- backend/app/new_agent.py | 48 ++++-- backend/app/new_chatbot.py | 23 ++- backend/app/retrieval.py | 5 +- backend/app/storage.py | 4 +- backend/poetry.lock | 36 +++- backend/pyproject.toml | 4 +- compose.override.yml | 28 ++-- frontend/src/App.tsx | 2 +- langgraph.json | 10 ++ 18 files changed, 119 insertions(+), 480 deletions(-) create mode 100644 Makefile delete mode 100644 backend/app/langserve/__init__.py delete mode 100644 backend/app/langserve/client.py delete mode 100644 backend/app/langserve/schema.py create mode 100644 langgraph.json diff --git a/Makefile b/Makefile new file mode 100644 index 000000000..83ba0144c --- /dev/null +++ b/Makefile @@ -0,0 +1,4 @@ +.PHONY: start + +start: + cd backend && poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml diff --git a/backend/.gitignore b/backend/.gitignore index fef66fe0d..6f04bb837 100644 --- a/backend/.gitignore +++ b/backend/.gitignore @@ -1,2 +1,3 @@ .envrc ui +.venv diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 7932f352a..7a51217e5 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -57,6 +57,7 @@ async def stream_run( thread["assistant_id"], input=payload.input, config=payload.config, + stream_mode="messages", ) ) ) diff --git a/backend/app/chatbot.py b/backend/app/chatbot.py index eeb5b7872..ebb1cedf6 100644 --- a/backend/app/chatbot.py +++ b/backend/app/chatbot.py @@ -4,8 +4,7 @@ from langchain_core.messages import BaseMessage, SystemMessage from langgraph.checkpoint import BaseCheckpointSaver from langgraph.graph.state import StateGraph - -from app.message_types import add_messages_liberal +from langgraph.graph.message import add_messages def get_chatbot_executor( @@ -18,7 +17,7 @@ def _get_messages(messages): chatbot = _get_messages | llm - workflow = StateGraph(Annotated[List[BaseMessage], add_messages_liberal]) + workflow = StateGraph(Annotated[List[BaseMessage], add_messages]) workflow.add_node("chatbot", chatbot) workflow.set_entry_point("chatbot") workflow.set_finish_point("chatbot") diff --git a/backend/app/langserve/__init__.py b/backend/app/langserve/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/backend/app/langserve/client.py b/backend/app/langserve/client.py deleted file mode 100644 index 68e9037b7..000000000 --- a/backend/app/langserve/client.py +++ /dev/null @@ -1,265 +0,0 @@ -import sys -from typing import AsyncIterator, List, NamedTuple, Optional, Union - -import httpx -import httpx_sse -from httpx._types import QueryParamTypes - -from app.langserve.schema import ( - Assistant, - Config, - Metadata, - Run, - RunEvent, - StreamMode, - Thread, -) - - -def get_client(*, url: str = "http://localhost:8123") -> "LangServeClient": - client = httpx.AsyncClient( - base_url=url, - transport=httpx.AsyncHTTPTransport(retries=5), - timeout=httpx.Timeout(connect=5, read=60, write=60, pool=5), - ) - return LangServeClient(client) - - -class StreamPart(NamedTuple): - event: str - data: dict - - -class LangServeClient: - def __init__(self, client: httpx.AsyncClient) -> None: - self.http = HttpClient(client) - self.assistants = AssistantsClient(self.http) - self.threads = ThreadsClient(self.http) - self.runs = RunsClient(self.http) - - -class HttpClient: - def __init__(self, client: httpx.AsyncClient) -> None: - self.client = client - - async def get(self, path: str, *, params: QueryParamTypes = None) -> dict: - """Make a GET request.""" - r = await self.client.get(path, params=params) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - if sys.version_info >= (3, 11): - e.add_note((await r.aread()).decode()) - raise e - return r.json() - - async def post(self, path: str, *, json: dict) -> dict: - """Make a POST request.""" - r = await self.client.post(path, json=json) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - if sys.version_info >= (3, 11): - e.add_note((await r.aread()).decode()) - raise e - return r.json() - - async def put(self, path: str, *, json: dict) -> dict: - """Make a PUT request.""" - r = await self.client.put(path, json=json) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - if sys.version_info >= (3, 11): - e.add_note((await r.aread()).decode()) - raise e - return r.json() - - async def delete(self, path: str) -> None: - """Make a DELETE request.""" - r = await self.client.delete(path) - try: - r.raise_for_status() - except httpx.HTTPStatusError as e: - if sys.version_info >= (3, 11): - e.add_note((await r.aread()).decode()) - raise e - - async def stream( - self, path: str, method: str, *, json: dict = None - ) -> AsyncIterator[StreamPart]: - """Stream the results of a request using SSE.""" - async with httpx_sse.aconnect_sse(self.client, method, path, json=json) as sse: - try: - sse.response.raise_for_status() - except httpx.HTTPStatusError as e: - if sys.version_info >= (3, 11): - e.add_note((await sse.response.aread()).decode()) - raise e - async for event in sse.aiter_sse(): - yield StreamPart(event.event, event.json() if event.data else None) - - -class AssistantsClient: - def __init__(self, http: HttpClient) -> None: - self.http = http - - async def get(self, assistant_id: str) -> Assistant: - """Get an assistant by ID.""" - return await self.http.get(f"/assistants/{assistant_id}") - - async def create( - self, - graph_id: Optional[str], - config: Optional[Config] = None, - *, - metadata: Metadata = None, - ) -> Assistant: - """Create a new assistant.""" - return await self.http.post( - "/assistants", - json={"metadata": metadata, "graph_id": graph_id, "config": config or {}}, - ) - - async def upsert( - self, - assistant_id: str, - graph_id: str, - config: Optional[Config] = None, - *, - metadata: Metadata = None, - ) -> Assistant: - """Create or update an assistant.""" - return await self.http.put( - f"/assistants/{assistant_id}", - json={"metadata": metadata, "graph_id": graph_id, "config": config or {}}, - ) - - async def search( - self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 - ) -> list[Assistant]: - """Search for assistants.""" - return await self.http.post( - "/assistants/search", - json={"metadata": metadata, "limit": limit, "offset": offset}, - ) - - -class ThreadsClient: - def __init__(self, http: HttpClient) -> None: - self.http = http - - async def get(self, thread_id: str) -> Thread: - """Get a thread by ID.""" - return await self.http.get(f"/threads/{thread_id}") - - async def create(self, *, metadata: Metadata = None) -> Thread: - """Create a new thread.""" - return await self.http.post("/threads", json={"metadata": metadata}) - - async def upsert(self, thread_id: str, *, metadata: Metadata) -> Thread: - """Create or update a thread.""" - return await self.http.put(f"/threads/{thread_id}", json={"metadata": metadata}) - - async def delete(self, thread_id: str) -> None: - """Delete a thread.""" - await self.http.delete(f"/threads/{thread_id}") - - async def search( - self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 - ) -> list[Thread]: - """Search for threads.""" - return await self.http.post( - "/threads/search", - json={"metadata": metadata, "limit": limit, "offset": offset}, - ) - - async def get_state(self, thread_id: str) -> dict: - """Get the state of a thread.""" - return await self.http.get(f"/threads/{thread_id}/state") - - async def update_state(self, thread_id: Union[str, Config], values: dict) -> None: - """Update the state of a thread.""" - if isinstance(thread_id, dict): - config = thread_id - thread_id_: str = thread_id["configurable"]["thread_id"] - else: - thread_id_ = thread_id - config = None - return await self.http.post( - f"/threads/{thread_id_}/state", json={"values": values, "config": config} - ) - - -class RunsClient: - def __init__(self, http: HttpClient) -> None: - self.http = http - - def stream( - self, - thread_id: str, - assistant_id: str, - *, - input: Optional[dict] = None, - stream_mode: StreamMode = "values", - metadata: Optional[dict] = None, - config: Optional[Config] = None, - interrupt_before: Optional[list[str]] = None, - interrupt_after: Optional[list[str]] = None, - ) -> AsyncIterator[StreamPart]: - """Create a run and stream the results.""" - return self.http.stream( - f"/threads/{thread_id}/runs/stream", - "POST", - json={ - "input": input, - "config": config, - "metadata": metadata, - "stream_mode": stream_mode, - "assistant_id": assistant_id, - "interrupt_before": interrupt_before, - "interrupt_after": interrupt_after, - }, - ) - - async def create( - self, - thread_id: str, - assistant_id: str, - *, - input: Optional[dict] = None, - stream_mode: StreamMode = "values", - metadata: Optional[dict] = None, - config: Optional[Config] = None, - interrupt_before: Optional[list[str]] = None, - interrupt_after: Optional[list[str]] = None, - ) -> Run: - """Create a background run.""" - return await self.http.post( - f"/threads/{thread_id}/runs", - json={ - "input": input, - "config": config, - "metadata": metadata, - "stream_mode": stream_mode, - "assistant_id": assistant_id, - "interrupt_before": interrupt_before, - "interrupt_after": interrupt_after, - }, - ) - - async def list( - self, thread_id: str, *, limit: int = 10, offset: int = 0 - ) -> List[Run]: - """List runs.""" - return await self.http.get(f"/threads/{thread_id}/runs") - - async def get(self, thread_id: str, run_id: str) -> Run: - """Get a run.""" - return await self.http.get(f"/threads/{thread_id}/runs/{run_id}") - - async def list_events( - self, thread_id: str, run_id: str, *, limit: int = 10, offset: int = 0 - ) -> List[RunEvent]: - """List run events.""" - return await self.http.get(f"/threads/{thread_id}/runs/{run_id}/events") diff --git a/backend/app/langserve/schema.py b/backend/app/langserve/schema.py deleted file mode 100644 index a28dec9bd..000000000 --- a/backend/app/langserve/schema.py +++ /dev/null @@ -1,125 +0,0 @@ -from datetime import datetime -from typing import Any, Literal, Optional, Sequence, Union, TypedDict - -from pydantic import BaseModel, Field - - -Metadata = Optional[dict[str, Any]] - -RunStatus = Literal["pending", "running", "error", "success", "timeout", "interrupted"] - -StreamMode = Literal["values", "messages", "updates", "events"] - - -class Config(TypedDict, total=False): - tags: list[str] - """ - Tags for this call and any sub-calls (eg. a Chain calling an LLM). - You can use these to filter calls. - """ - - recursion_limit: int - """ - Maximum number of times a call can recurse. If not provided, defaults to 25. - """ - - configurable: dict[str, Any] - """ - Runtime values for attributes previously made configurable on this Runnable, - or sub-Runnables, through .configurable_fields() or .configurable_alternatives(). - Check .output_schema() for a description of the attributes that have been made - configurable. - """ - - -class Assistant(TypedDict): - """Assistant model.""" - - assistant_id: str - """The ID of the assistant.""" - graph_id: Optional[str] - """The ID of the graph.""" - config: Config - """The assistant config.""" - created_at: datetime - """The time the assistant was created.""" - updated_at: datetime - """The last time the assistant was updated.""" - metadata: Metadata - """The assistant metadata.""" - - -class Thread(TypedDict): - thread_id: str - """The ID of the thread.""" - created_at: datetime - """The time the thread was created.""" - updated_at: datetime - """The last time the thread was updated.""" - metadata: Metadata - """The thread metadata.""" - - -class JsonMessage(TypedDict): - role: str - """The role of the message.""" - content: str - """The content of the message.""" - - -class ThreadState(TypedDict): - values: Union[list[JsonMessage], dict[str, Any]] - """The state values.""" - next: Sequence[str] - """The next nodes to execute. If empty, the thread is done until new input is - received.""" - config: Config - """Config used to fetch/use this state""" - parent_config: Optional[Config] = None - """Config used to fetch the parent state, if any""" - - -class Run(TypedDict): - run_id: str - """The ID of the run.""" - thread_id: str - """The ID of the thread.""" - assistant_id: str - """The assistant that was used for this run.""" - created_at: datetime - """The time the run was created.""" - updated_at: datetime - """The last time the run was updated.""" - status: RunStatus - """The status of the run. One of 'pending', 'running', 'error', 'success'.""" - metadata: Metadata - """The run metadata.""" - - -class RunEvent(TypedDict): - event_id: str - """The ID of the event.""" - run_id: str - """The ID of the run.""" - received_at: datetime - """The time the event was received.""" - span_id: str - """The ID of the span.""" - event: str - """The event type.""" - name: str - """The event name.""" - data: dict - """The event data.""" - metadata: dict - """The event metadata.""" - tags: list[str] - """The event tags.""" - - -class SearchRequest(BaseModel): - """Payload for listing assistants/threads/runs.""" - - metadata: Metadata = Field(None, description="Metadata to search for.") - limit: int = Field(10, description="Maximum number to return.") - offset: int = Field(0, description="Offset to start from.") diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index b36a7b60b..cc185b265 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -5,7 +5,7 @@ import orjson import structlog from fastapi import FastAPI -from app.langserve.client import LangServeClient, get_client +from langgraph_sdk.client import LangServeClient, get_client _pg_pool = None _langserve = None diff --git a/backend/app/message_types.py b/backend/app/message_types.py index 9ceea94b2..c38e66e40 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,12 +1,6 @@ -from typing import Any, get_args +from typing import Any -from langchain_core.messages import ( - AnyMessage, - FunctionMessage, - MessageLikeRepresentation, - ToolMessage, -) -from langgraph.graph.message import Messages, add_messages +from langchain_core.messages import FunctionMessage, ToolMessage class LiberalFunctionMessage(FunctionMessage): @@ -15,29 +9,3 @@ class LiberalFunctionMessage(FunctionMessage): class LiberalToolMessage(ToolMessage): content: Any - - -def _convert_pydantic_dict_to_message( - data: MessageLikeRepresentation -) -> MessageLikeRepresentation: - 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) - return data - - -def add_messages_liberal(left: Messages, right: Messages): - # coerce to list - if not isinstance(left, list): - left = [left] - if not isinstance(right, list): - right = [right] - return add_messages( - [_convert_pydantic_dict_to_message(m) for m in left], - [_convert_pydantic_dict_to_message(m) for m in right], - ) diff --git a/backend/app/new_agent.py b/backend/app/new_agent.py index dbeba264f..6683a2499 100644 --- a/backend/app/new_agent.py +++ b/backend/app/new_agent.py @@ -1,7 +1,6 @@ +from enum import Enum from typing import cast -from langchain.tools import BaseTool -from langchain_core.language_models.base import LanguageModelLike from langchain_core.messages import ( AIMessage, FunctionMessage, @@ -9,16 +8,11 @@ SystemMessage, ToolMessage, ) -from langgraph.checkpoint import BaseCheckpointSaver from langgraph.graph import END from langgraph.graph.message import MessageGraph from langgraph.prebuilt import ToolExecutor, ToolInvocation -from app.tools import ( - RETRIEVAL_DESCRIPTION, AvailableTools, TOOLS, get_retrieval_tool -) from app.message_types import LiberalToolMessage -from enum import Enum from app.llms import ( get_anthropic_llm, get_google_llm, @@ -26,6 +20,9 @@ get_ollama_llm, get_openai_llm, ) +from app.tools import RETRIEVAL_DESCRIPTION, AvailableTools, TOOLS, get_retrieval_tool + + class LLMType(str, Enum): GPT_35_TURBO = "GPT 3.5 Turbo" GPT_4 = "GPT 4 Turbo" @@ -60,6 +57,7 @@ def get_llm( raise ValueError return llm + async def _get_messages(messages, system_message): msgs = [] for m in messages: @@ -78,7 +76,11 @@ async def _get_messages(messages, system_message): DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." -def get_tools(tools, assistant_id, thread_id, retrieval_description=RETRIEVAL_DESCRIPTION): + + +def get_tools( + tools, assistant_id, thread_id, retrieval_description=RETRIEVAL_DESCRIPTION +): _tools = [] for _tool in tools: if _tool["type"] == AvailableTools.RETRIEVAL: @@ -100,12 +102,17 @@ def get_tools(tools, assistant_id, thread_id, retrieval_description=RETRIEVAL_DE async def agent(messages, config): - _config = config['configurable'] - system_message = _config.get('system_message', DEFAULT_SYSTEM_MESSAGE) - llm = get_llm(_config.get('agent_type', LLMType.GPT_35_TURBO)) - tools = get_tools(_config.get("tools"), _config.get("assistant_id"), _config.get("thread_id"), _config.get("retrieval_description")) + _config = config["configurable"] + system_message = _config.get("type==agent/system_message", DEFAULT_SYSTEM_MESSAGE) + llm = get_llm(_config.get("type==agent/agent_type", LLMType.GPT_35_TURBO)) + tools = get_tools( + _config.get("type==agent/tools"), + _config.get("assistant_id"), + _config.get("thread_id"), + _config.get("type==agent/retrieval_description"), + ) if tools: - llm = llm.bind(tools) + llm = llm.bind_tools(tools) messages = await _get_messages(messages, system_message) response = llm.invoke(messages) return response @@ -121,10 +128,16 @@ def should_continue(messages): else: return "continue" + # Define the function to execute tools -async def call_tool(messages, _config): - tools = get_tools(_config.get("tools"), _config.get("assistant_id"), _config.get("thread_id"), - _config.get("retrieval_description")) +async def call_tool(messages, config): + _config = config["configurable"] + tools = get_tools( + _config.get("type==agent/tools"), + _config.get("assistant_id"), + _config.get("thread_id"), + _config.get("type==agent/retrieval_description"), + ) tool_executor = ToolExecutor(tools) actions: list[ToolInvocation] = [] @@ -152,6 +165,7 @@ async def call_tool(messages, _config): ] return tool_messages + workflow = MessageGraph() # Define the two nodes we will cycle between @@ -190,4 +204,4 @@ async def call_tool(messages, _config): # Finally, we compile it! # This compiles it into a LangChain Runnable, # meaning you can use it as you would any other runnable -graph = workflow.compile() \ No newline at end of file +graph = workflow.compile() diff --git a/backend/app/new_chatbot.py b/backend/app/new_chatbot.py index 122f2136d..30a10796f 100644 --- a/backend/app/new_chatbot.py +++ b/backend/app/new_chatbot.py @@ -1,9 +1,10 @@ -from langchain_core.messages import SystemMessage -from langgraph.graph import StateGraph, END -from typing import TypedDict, Annotated, Sequence -import operator -from langchain_core.messages import BaseMessage from enum import Enum +from typing import TypedDict, Annotated, Sequence + +from langchain_core.messages import BaseMessage, SystemMessage +from langgraph.graph import StateGraph, END +from langgraph.graph.message import add_messages + from app.llms import ( get_anthropic_llm, get_google_llm, @@ -12,6 +13,7 @@ get_openai_llm, ) + class LLMType(str, Enum): GPT_35_TURBO = "GPT 3.5 Turbo" GPT_4 = "GPT 4 Turbo" @@ -48,19 +50,22 @@ def get_llm( class AgentState(TypedDict): - messages: Annotated[Sequence[BaseMessage], operator.add] + messages: Annotated[Sequence[BaseMessage], add_messages] DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." def _call_model(state, config): - m = get_llm(config['configurable'].get('model', LLMType.GPT_35_TURBO)) - system_message = config['configurable'].get("system_message", DEFAULT_SYSTEM_MESSAGE) - messages = [SystemMessage(content=system_message)] + state['messages'] + m = get_llm(config["configurable"].get("type==chatbot/llm", LLMType.GPT_35_TURBO)) + system_message = config["configurable"].get( + "type==chatbot/system_message", DEFAULT_SYSTEM_MESSAGE + ) + messages = [SystemMessage(content=system_message)] + state["messages"] response = m.invoke(messages) return {"messages": [response]} + # Define a new graph workflow = StateGraph(AgentState) workflow.add_node("model", _call_model) diff --git a/backend/app/retrieval.py b/backend/app/retrieval.py index 763d2cd22..af8e6cd8f 100644 --- a/backend/app/retrieval.py +++ b/backend/app/retrieval.py @@ -10,8 +10,9 @@ from langgraph.checkpoint import BaseCheckpointSaver from langgraph.graph import END from langgraph.graph.state import StateGraph +from langgraph.graph.message import add_messages -from app.message_types import LiberalToolMessage, add_messages_liberal +from app.message_types import LiberalToolMessage search_prompt = PromptTemplate.from_template( """Given the conversation below, come up with a search query to look up. @@ -42,7 +43,7 @@ def get_retrieval_executor( checkpoint: BaseCheckpointSaver, ): class AgentState(TypedDict): - messages: Annotated[List[BaseMessage], add_messages_liberal] + messages: Annotated[List[BaseMessage], add_messages] msg_count: Annotated[int, operator.add] def _get_messages(messages): diff --git a/backend/app/storage.py b/backend/app/storage.py index 6e9d098c6..b30149ac7 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -71,7 +71,7 @@ async def put_assistant( """ assistant = await get_langserve().assistants.upsert( assistant_id, - "agent", + config["configurable"]["type"], config, metadata={"user_id": user_id, "public": public, "name": name}, ) @@ -146,7 +146,7 @@ async def update_thread_state( async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assistant): """Get the history of a thread.""" - raise NotImplementedError + return await get_langserve().threads.get_history(thread_id) async def put_thread( diff --git a/backend/poetry.lock b/backend/poetry.lock index f1b7af817..8f54a7feb 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1879,18 +1879,48 @@ six = "*" [[package]] name = "langgraph" -version = "0.0.39" +version = "0.0.41" description = "langgraph" optional = false python-versions = "<4.0,>=3.9.0" files = [ - {file = "langgraph-0.0.39-py3-none-any.whl", hash = "sha256:acb4bae704a9467ba5e07c892174f345651b4c930853a37cb4ceab7964cf8222"}, - {file = "langgraph-0.0.39.tar.gz", hash = "sha256:cafcc8254b41bae55c4429b7925af83c846fd5e4c24159d1e03b98b2ca7c79a9"}, + {file = "langgraph-0.0.41-py3-none-any.whl", hash = "sha256:f28381263bee2ddffd21c5855cee6f710953a03b8281205b9fe0914136c8afd8"}, + {file = "langgraph-0.0.41.tar.gz", hash = "sha256:04430712a851524d05c5b1d834b385ca2f5bc85b02d78fee98413b85b745a4b4"}, ] [package.dependencies] langchain-core = ">=0.1.46,<0.2.0" +[[package]] +name = "langgraph-cli" +version = "0.1.3" +description = "" +optional = false +python-versions = "<3.12,>=3.9.0" +files = [ + {file = "langgraph_cli-0.1.3-py3-none-any.whl", hash = "sha256:c3f3da4ada34281c0481498f5f4aaf23a69b83770fc30daafb8aab1173613067"}, + {file = "langgraph_cli-0.1.3.tar.gz", hash = "sha256:ce1f9c09c238a54efdecda9a9c4ba79437f641c421e94f5859e01db7f99fdc77"}, +] + +[package.dependencies] +click = ">=8.1.7,<9.0.0" + +[[package]] +name = "langgraph-sdk" +version = "0.1.1" +description = "" +optional = false +python-versions = "<3.12,>=3.9.0" +files = [ + {file = "langgraph_sdk-0.1.1-py3-none-any.whl", hash = "sha256:1fcb67c3a888d383aefa018f60f1c25daf125019e03827e6090348b27111137d"}, + {file = "langgraph_sdk-0.1.1.tar.gz", hash = "sha256:7fa4b463f989a15966536518459e298e5483ae3e927fefe11dfb95964ab228f6"}, +] + +[package.dependencies] +httpx = "0.25.2" +httpx-sse = ">=0.4.0,<0.5.0" +orjson = ">=3.10.1,<4.0.0" + [[package]] name = "langsmith" version = "0.1.51" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 47b542c01..25fc17aa4 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -19,7 +19,7 @@ orjson = "^3.9.10" python-multipart = "^0.0.6" tiktoken = "^0.5.1" langchain = ">=0.0.338" -langgraph = "^0.0.39" +langgraph = "*" pydantic = "<2.0" langchain-openai = "^0.1.3" beautifulsoup4 = "^4.12.3" @@ -44,6 +44,8 @@ pyjwt = {extras = ["crypto"], version = "^2.8.0"} langchain-anthropic = "^0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" +langgraph-sdk = "^0.1.1" +langgraph-cli = "^0.1.3" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/compose.override.yml b/compose.override.yml index 4df0ccf94..1a7687c7c 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -1,19 +1,6 @@ services: postgres: image: pgvector/pgvector:pg16 - langserve: - # Prefer the build section below - pull_policy: build - # Add langchain_community to the image - build: - dockerfile_inline: | - FROM langchain/langserve - COPY ./backend /opengpts - RUN pip install -e /opengpts - environment: - LANGSERVE_GRAPHS: '{"agent": "app.agent:hack"}' - env_file: - - .env postgres-setup: image: migrate/migrate depends_on: @@ -23,16 +10,24 @@ services: - ./backend/migrations:/migrations env_file: - .env - command: ["-path", "/migrations", "-database", "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", "up"] + command: + [ + "-path", + "/migrations", + "-database", + "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", + "up", + ] backend: container_name: opengpts-backend + pull_policy: build build: context: backend ports: - "8100:8000" # Backend is accessible on localhost:8100 depends_on: - # langserve: - # condition: service_healthy + langserve: + condition: service_healthy postgres-setup: condition: service_completed_successfully env_file: @@ -57,4 +52,3 @@ services: - "5173:5173" # Frontend is accessible on localhost:5173 environment: VITE_BACKEND_URL: "http://backend:8000" - diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index 8ea651bf8..026b0f21c 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -67,7 +67,7 @@ function App(props: { edit?: boolean }) { }, ]; - if (assistantType === "chat_retrieval") { + if (assistantType === "chat_retrieval" || assistantType === "chatbot") { // The RAG assistant type requires an object with a `messages` field. input = { messages: input, diff --git a/langgraph.json b/langgraph.json new file mode 100644 index 000000000..4e8b9421e --- /dev/null +++ b/langgraph.json @@ -0,0 +1,10 @@ +{ + "dependencies": [ + "./backend" + ], + "graphs": { + "chatbot": "app.new_chatbot:graph", + "agent": "app.new_agent:graph" + }, + "env": ".env" +} From e6c17ea288946868eed19da6f911f9242a188a45 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 13:44:43 -0700 Subject: [PATCH 07/50] Fix retrieval --- .env.example | 3 ++- backend/app/api/runs.py | 12 ------------ 2 files changed, 2 insertions(+), 13 deletions(-) diff --git a/.env.example b/.env.example index 25637d4cb..e90951c5c 100644 --- a/.env.example +++ b/.env.example @@ -14,4 +14,5 @@ POSTGRES_PORT=placeholder POSTGRES_DB=placeholder POSTGRES_USER=placeholder POSTGRES_PASSWORD=placeholder -SCARF_NO_ANALYTICS=true \ No newline at end of file +POSTGRES_HOST=postgres +SCARF_NO_ANALYTICS=true diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 7a51217e5..306e991dd 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -63,18 +63,6 @@ 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() - - -@router.get("/output_schema") -async def output_schema() -> dict: - """Return the output schema of the runnable.""" - return agent.get_output_schema().schema() - - @router.get("/config_schema") async def config_schema() -> dict: """Return the config schema of the runnable.""" From 314369ee15aafaec3d948c8d0996e95a4d1793df Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 14:04:25 -0700 Subject: [PATCH 08/50] Get rag bot working --- backend/app/agent.py | 394 ----------- backend/app/agent_types/prompts.py | 27 - backend/app/agent_types/tools_agent.py | 128 ---- backend/app/agent_types/xml_agent.py | 159 ----- backend/app/api/runs.py | 9 +- backend/app/chatbot.py | 25 - backend/app/config_schema.json | 652 ++++++++++++++++++ .../app/{agent_types => graphs}/__init__.py | 0 backend/app/{ => graphs}/new_agent.py | 8 +- backend/app/{ => graphs}/new_chatbot.py | 8 +- backend/app/{ => graphs}/new_rag.py | 54 +- backend/app/retrieval.py | 141 ---- langgraph.json | 5 +- 13 files changed, 705 insertions(+), 905 deletions(-) delete mode 100644 backend/app/agent.py delete mode 100644 backend/app/agent_types/prompts.py delete mode 100644 backend/app/agent_types/tools_agent.py delete mode 100644 backend/app/agent_types/xml_agent.py delete mode 100644 backend/app/chatbot.py create mode 100644 backend/app/config_schema.json rename backend/app/{agent_types => graphs}/__init__.py (100%) rename backend/app/{ => graphs}/new_agent.py (97%) rename backend/app/{ => graphs}/new_chatbot.py (91%) rename backend/app/{ => graphs}/new_rag.py (85%) delete mode 100644 backend/app/retrieval.py diff --git a/backend/app/agent.py b/backend/app/agent.py deleted file mode 100644 index ed5f0b971..000000000 --- a/backend/app/agent.py +++ /dev/null @@ -1,394 +0,0 @@ -import pickle -from enum import Enum -from typing import Any, Dict, Mapping, Optional, Sequence, Union - -from langchain_core.messages import AnyMessage -from langchain_core.runnables import ( - 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.llms import ( - get_anthropic_llm, - get_google_llm, - get_mixtral_fireworks, - get_ollama_llm, - get_openai_llm, -) -from app.retrieval import get_retrieval_executor -from app.tools import ( - RETRIEVAL_DESCRIPTION, - TOOLS, - ActionServer, - Arxiv, - AvailableTools, - Connery, - DallE, - DDGSearch, - PressReleases, - PubMed, - Retrieval, - SecFilings, - Tavily, - TavilyAnswer, - Wikipedia, - YouSearch, - get_retrieval_tool, - get_retriever, -) - -Tool = Union[ - ActionServer, - Connery, - DDGSearch, - Arxiv, - YouSearch, - SecFilings, - PressReleases, - PubMed, - Wikipedia, - Tavily, - TavilyAnswer, - Retrieval, - DallE, -] - - -class AgentType(str, Enum): - GPT_35_TURBO = "GPT 3.5 Turbo" - GPT_4 = "GPT 4 Turbo" - GPT_4O = "GPT 4o" - AZURE_OPENAI = "GPT 4 (Azure OpenAI)" - CLAUDE2 = "Claude 2" - BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" - GEMINI = "GEMINI" - OLLAMA = "Ollama" - - -DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." - -CHECKPOINTER = PostgresCheckpoint(serde=pickle, at=CheckpointAt.END_OF_STEP) - - -hack = get_tools_agent_executor( - [TOOLS[AvailableTools.TAVILY]()], - get_openai_llm(), - DEFAULT_SYSTEM_MESSAGE, - True, - CHECKPOINTER, -) - - -def get_agent_executor( - tools: list, - agent: AgentType, - system_message: str, - interrupt_before_action: bool, -): - if agent == AgentType.GPT_35_TURBO: - llm = get_openai_llm() - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.GPT_4: - llm = get_openai_llm(model="gpt-4-turbo") - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.GPT_4O: - llm = get_openai_llm(model="gpt-4o") - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.AZURE_OPENAI: - llm = get_openai_llm(azure=True) - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.CLAUDE2: - llm = get_anthropic_llm() - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) - return get_xml_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.GEMINI: - llm = get_google_llm() - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - elif agent == AgentType.OLLAMA: - llm = get_ollama_llm() - return get_tools_agent_executor( - tools, llm, system_message, interrupt_before_action, CHECKPOINTER - ) - - else: - raise ValueError("Unexpected agent type") - - -class ConfigurableAgent(RunnableBinding): - tools: Sequence[Tool] - agent: AgentType - system_message: str = DEFAULT_SYSTEM_MESSAGE - retrieval_description: str = RETRIEVAL_DESCRIPTION - interrupt_before_action: bool = False - assistant_id: Optional[str] = None - thread_id: Optional[str] = None - user_id: Optional[str] = None - - def __init__( - self, - *, - tools: Sequence[Tool], - agent: AgentType = AgentType.GPT_35_TURBO, - system_message: str = DEFAULT_SYSTEM_MESSAGE, - assistant_id: Optional[str] = None, - thread_id: Optional[str] = None, - retrieval_description: str = RETRIEVAL_DESCRIPTION, - interrupt_before_action: bool = False, - kwargs: Optional[Mapping[str, Any]] = None, - config: Optional[Mapping[str, Any]] = None, - **others: Any, - ) -> None: - others.pop("bound", None) - _tools = [] - for _tool in tools: - if _tool["type"] == AvailableTools.RETRIEVAL: - if assistant_id is None or thread_id is None: - raise ValueError( - "Both assistant_id and thread_id must be provided if Retrieval tool is used" - ) - _tools.append( - get_retrieval_tool(assistant_id, thread_id, retrieval_description) - ) - else: - tool_config = _tool.get("config", {}) - _returned_tools = TOOLS[_tool["type"]](**tool_config) - if isinstance(_returned_tools, list): - _tools.extend(_returned_tools) - else: - _tools.append(_returned_tools) - _agent = get_agent_executor( - _tools, agent, system_message, interrupt_before_action - ) - agent_executor = _agent.with_config({"recursion_limit": 50}) - super().__init__( - tools=tools, - agent=agent, - system_message=system_message, - retrieval_description=retrieval_description, - bound=agent_executor, - kwargs=kwargs or {}, - config=config or {}, - ) - - -class LLMType(str, Enum): - GPT_35_TURBO = "GPT 3.5 Turbo" - GPT_4 = "GPT 4 Turbo" - GPT_4O = "GPT 4o" - AZURE_OPENAI = "GPT 4 (Azure OpenAI)" - CLAUDE2 = "Claude 2" - BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" - GEMINI = "GEMINI" - MIXTRAL = "Mixtral" - OLLAMA = "Ollama" - - -def get_chatbot( - llm_type: LLMType, - system_message: str, -): - if llm_type == LLMType.GPT_35_TURBO: - llm = get_openai_llm() - elif llm_type == LLMType.GPT_4: - llm = get_openai_llm(model="gpt-4-turbo") - 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: - llm = get_anthropic_llm() - elif llm_type == LLMType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) - elif llm_type == LLMType.GEMINI: - llm = get_google_llm() - elif llm_type == LLMType.MIXTRAL: - llm = get_mixtral_fireworks() - elif llm_type == LLMType.OLLAMA: - llm = get_ollama_llm() - else: - raise ValueError("Unexpected llm type") - return get_chatbot_executor(llm, system_message, CHECKPOINTER) - - -class ConfigurableChatBot(RunnableBinding): - llm: LLMType - system_message: str = DEFAULT_SYSTEM_MESSAGE - user_id: Optional[str] = None - - def __init__( - self, - *, - llm: LLMType = LLMType.GPT_35_TURBO, - system_message: str = DEFAULT_SYSTEM_MESSAGE, - kwargs: Optional[Mapping[str, Any]] = None, - config: Optional[Mapping[str, Any]] = None, - **others: Any, - ) -> None: - others.pop("bound", None) - - chatbot = get_chatbot(llm, system_message) - super().__init__( - llm=llm, - system_message=system_message, - bound=chatbot, - kwargs=kwargs or {}, - config=config or {}, - ) - - -chatbot = ( - ConfigurableChatBot(llm=LLMType.GPT_35_TURBO, checkpoint=CHECKPOINTER) - .configurable_fields( - llm=ConfigurableField(id="llm_type", name="LLM Type"), - system_message=ConfigurableField(id="system_message", name="Instructions"), - ) - .with_types( - input_type=Messages, - output_type=Sequence[AnyMessage], - ) -) - - -# class ConfigurableRetrieval(RunnableBinding): -# llm_type: LLMType -# system_message: str = DEFAULT_SYSTEM_MESSAGE -# assistant_id: Optional[str] = None -# thread_id: Optional[str] = None -# user_id: Optional[str] = None - -# def __init__( -# self, -# *, -# llm_type: LLMType = LLMType.GPT_35_TURBO, -# system_message: str = DEFAULT_SYSTEM_MESSAGE, -# assistant_id: Optional[str] = None, -# thread_id: Optional[str] = None, -# kwargs: Optional[Mapping[str, Any]] = None, -# config: Optional[Mapping[str, Any]] = None, -# **others: Any, -# ) -> None: -# others.pop("bound", None) -# retriever = get_retriever(assistant_id, thread_id) -# if llm_type == LLMType.GPT_35_TURBO: -# llm = get_openai_llm() -# elif llm_type == LLMType.GPT_4: -# llm = get_openai_llm(model="gpt-4-turbo") -# 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: -# llm = get_anthropic_llm() -# elif llm_type == LLMType.BEDROCK_CLAUDE2: -# llm = get_anthropic_llm(bedrock=True) -# elif llm_type == LLMType.GEMINI: -# llm = get_google_llm() -# elif llm_type == LLMType.MIXTRAL: -# llm = get_mixtral_fireworks() -# elif llm_type == LLMType.OLLAMA: -# llm = get_ollama_llm() -# else: -# raise ValueError("Unexpected llm type") -# chatbot = get_retrieval_executor(llm, retriever, system_message, CHECKPOINTER) -# super().__init__( -# llm_type=llm_type, -# system_message=system_message, -# bound=chatbot, -# kwargs=kwargs or {}, -# config=config or {}, -# ) - - -# chat_retrieval = ( -# ConfigurableRetrieval(llm_type=LLMType.GPT_35_TURBO, checkpoint=CHECKPOINTER) -# .configurable_fields( -# llm_type=ConfigurableField(id="llm_type", name="LLM Type"), -# system_message=ConfigurableField(id="system_message", name="Instructions"), -# assistant_id=ConfigurableField( -# id="assistant_id", name="Assistant ID", is_shared=True -# ), -# thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), -# ) -# .with_types( -# input_type=Dict[str, Any], -# output_type=Dict[str, Any], -# ) -# ) - - -agent: Pregel = ( - ConfigurableAgent( - agent=AgentType.GPT_35_TURBO, - tools=[], - system_message=DEFAULT_SYSTEM_MESSAGE, - retrieval_description=RETRIEVAL_DESCRIPTION, - assistant_id=None, - thread_id=None, - ) - .configurable_fields( - agent=ConfigurableField(id="agent_type", name="Agent Type"), - system_message=ConfigurableField(id="system_message", name="Instructions"), - interrupt_before_action=ConfigurableField( - id="interrupt_before_action", - name="Tool Confirmation", - description="If Yes, you'll be prompted to continue before each tool is executed.\nIf No, tools will be executed automatically by the agent.", - ), - assistant_id=ConfigurableField( - id="assistant_id", name="Assistant ID", is_shared=True - ), - thread_id=ConfigurableField(id="thread_id", name="Thread ID", is_shared=True), - tools=ConfigurableField(id="tools", name="Tools"), - retrieval_description=ConfigurableField( - id="retrieval_description", name="Retrieval Description" - ), - ) - .configurable_alternatives( - ConfigurableField(id="type", name="Bot Type"), - default_key="agent", - prefix_keys=True, - chatbot=chatbot, - # chat_retrieval=chat_retrieval, - ) - .with_types( - input_type=Messages, - output_type=Sequence[AnyMessage], - ) -) - -if __name__ == "__main__": - import asyncio - - from langchain.schema.messages import HumanMessage - - async def run(): - async for m in agent.astream_events( - HumanMessage(content="whats your name"), - config={"configurable": {"user_id": "2", "thread_id": "test1"}}, - version="v1", - ): - print(m) - - asyncio.run(run()) diff --git a/backend/app/agent_types/prompts.py b/backend/app/agent_types/prompts.py deleted file mode 100644 index 125e6a804..000000000 --- a/backend/app/agent_types/prompts.py +++ /dev/null @@ -1,27 +0,0 @@ -xml_template = """{system_message} - -You have access to the following tools: - -{tools} - -In order to use a tool, you can use and tags. You will then get back a response in the form -For example, if you have a tool called 'search' that could run a google search, in order to search for the weather in SF you would respond: - -searchweather in SF -64 degrees - -When you are done, you can respond as normal to the user. - -Example 1: - -Human: Hi! - -Assistant: Hi! How are you? - -Human: What is the weather in SF? -Assistant: searchweather in SF -64 degrees -It is 64 degrees in SF - - -Begin!""" diff --git a/backend/app/agent_types/tools_agent.py b/backend/app/agent_types/tools_agent.py deleted file mode 100644 index 0a061af17..000000000 --- a/backend/app/agent_types/tools_agent.py +++ /dev/null @@ -1,128 +0,0 @@ -from typing import cast - -from langchain.tools import BaseTool -from langchain_core.language_models.base import LanguageModelLike -from langchain_core.messages import ( - AIMessage, - FunctionMessage, - HumanMessage, - SystemMessage, - ToolMessage, -) -from langgraph.checkpoint import BaseCheckpointSaver -from langgraph.graph import END -from langgraph.graph.message import MessageGraph -from langgraph.prebuilt import ToolExecutor, ToolInvocation - -from app.message_types import LiberalToolMessage - - -def get_tools_agent_executor( - tools: list[BaseTool], - llm: LanguageModelLike, - system_message: str, - interrupt_before_action: bool, - checkpoint: BaseCheckpointSaver, -): - async def _get_messages(messages): - msgs = [] - for m in messages: - if isinstance(m, LiberalToolMessage): - _dict = m.dict() - _dict["content"] = str(_dict["content"]) - m_c = ToolMessage(**_dict) - msgs.append(m_c) - elif isinstance(m, FunctionMessage): - # anthropic doesn't like function messages - msgs.append(HumanMessage(content=str(m.content))) - else: - msgs.append(m) - - return [SystemMessage(content=system_message)] + msgs - - if tools: - llm_with_tools = llm.bind_tools(tools) - else: - llm_with_tools = llm - agent = _get_messages | llm_with_tools - tool_executor = ToolExecutor(tools) - - # Define the function that determines whether to continue or not - def should_continue(messages): - last_message = messages[-1] - # If there is no function call, then we finish - if not last_message.tool_calls: - return "end" - # Otherwise if there is, we continue - else: - return "continue" - - # Define the function to execute tools - async def call_tool(messages): - actions: list[ToolInvocation] = [] - # Based on the continue condition - # we know the last message involves a function call - last_message = cast(AIMessage, messages[-1]) - for tool_call in last_message.tool_calls: - # We construct a ToolInvocation from the function_call - actions.append( - ToolInvocation( - tool=tool_call["name"], - tool_input=tool_call["args"], - ) - ) - # We call the tool_executor and get back a response - responses = await tool_executor.abatch(actions) - # We use the response to create a ToolMessage - tool_messages = [ - LiberalToolMessage( - tool_call_id=tool_call["id"], - name=tool_call["name"], - content=response, - ) - for tool_call, response in zip(last_message.tool_calls, responses) - ] - return tool_messages - - workflow = MessageGraph() - - # Define the two nodes we will cycle between - workflow.add_node("agent", agent) - workflow.add_node("action", call_tool) - - # Set the entrypoint as `agent` - # This means that this node is the first one called - workflow.set_entry_point("agent") - - # We now add a conditional edge - workflow.add_conditional_edges( - # First, we define the start node. We use `agent`. - # This means these are the edges taken after the `agent` node is called. - "agent", - # Next, we pass in the function that will determine which node is called next. - should_continue, - # Finally we pass in a mapping. - # The keys are strings, and the values are other nodes. - # END is a special node marking that the graph should finish. - # What will happen is we will call `should_continue`, and then the output of that - # will be matched against the keys in this mapping. - # Based on which one it matches, that node will then be called. - { - # If `tools`, then we call the tool node. - "continue": "action", - # Otherwise we finish. - "end": END, - }, - ) - - # We now add a normal edge from `tools` to `agent`. - # This means that after `tools` is called, `agent` node is called next. - workflow.add_edge("action", "agent") - - # Finally, we compile it! - # This compiles it into a LangChain Runnable, - # meaning you can use it as you would any other runnable - return workflow.compile( - checkpointer=checkpoint, - interrupt_before=["action"] if interrupt_before_action else None, - ) diff --git a/backend/app/agent_types/xml_agent.py b/backend/app/agent_types/xml_agent.py deleted file mode 100644 index b9f11e5d3..000000000 --- a/backend/app/agent_types/xml_agent.py +++ /dev/null @@ -1,159 +0,0 @@ -from langchain.tools import BaseTool -from langchain.tools.render import render_text_description -from langchain_core.language_models.base import LanguageModelLike -from langchain_core.messages import ( - AIMessage, - FunctionMessage, - HumanMessage, - SystemMessage, -) -from langgraph.checkpoint import BaseCheckpointSaver -from langgraph.graph import END -from langgraph.graph.message import MessageGraph -from langgraph.prebuilt import ToolExecutor, ToolInvocation - -from app.agent_types.prompts import xml_template -from app.message_types import LiberalFunctionMessage - - -def _collapse_messages(messages): - log = "" - if isinstance(messages[-1], AIMessage): - scratchpad = messages[:-1] - final = messages[-1] - else: - scratchpad = messages - final = None - if len(scratchpad) % 2 != 0: - raise ValueError("Unexpected") - for i in range(0, len(scratchpad), 2): - action = messages[i] - observation = messages[i + 1] - log += f"{action.content}{observation.content}" - if final is not None: - log += final.content - return AIMessage(content=log) - - -def construct_chat_history(messages): - collapsed_messages = [] - temp_messages = [] - for message in messages: - if isinstance(message, HumanMessage): - if temp_messages: - collapsed_messages.append(_collapse_messages(temp_messages)) - temp_messages = [] - collapsed_messages.append(message) - elif isinstance(message, LiberalFunctionMessage): - _dict = message.dict() - _dict["content"] = str(_dict["content"]) - m_c = FunctionMessage(**_dict) - temp_messages.append(m_c) - else: - temp_messages.append(message) - - # Don't forget to add the last non-human message if it exists - if temp_messages: - collapsed_messages.append(_collapse_messages(temp_messages)) - - return collapsed_messages - - -def get_xml_agent_executor( - tools: list[BaseTool], - llm: LanguageModelLike, - system_message: str, - interrupt_before_action: bool, - checkpoint: BaseCheckpointSaver, -): - formatted_system_message = xml_template.format( - system_message=system_message, - tools=render_text_description(tools), - tool_names=", ".join([t.name for t in tools]), - ) - - llm_with_stop = llm.bind(stop=["", ""]) - - def _get_messages(messages): - return [ - SystemMessage(content=formatted_system_message) - ] + construct_chat_history(messages) - - agent = _get_messages | llm_with_stop - tool_executor = ToolExecutor(tools) - - # Define the function that determines whether to continue or not - def should_continue(messages): - last_message = messages[-1] - if "" in last_message.content: - return "continue" - else: - return "end" - - # Define the function to execute tools - async def call_tool(messages): - # Based on the continue condition - # we know the last message involves a function call - last_message = messages[-1] - # We construct an ToolInvocation from the function_call - tool, tool_input = last_message.content.split("") - _tool = tool.split("")[1] - if "" not in tool_input: - _tool_input = "" - else: - _tool_input = tool_input.split("")[1] - if "" in _tool_input: - _tool_input = _tool_input.split("")[0] - action = ToolInvocation( - tool=_tool, - tool_input=_tool_input, - ) - # We call the tool_executor and get back a response - response = await tool_executor.ainvoke(action) - # We use the response to create a FunctionMessage - function_message = LiberalFunctionMessage(content=response, name=action.tool) - # We return a list, because this will get added to the existing list - return function_message - - workflow = MessageGraph() - - # Define the two nodes we will cycle between - workflow.add_node("agent", agent) - workflow.add_node("action", call_tool) - - # Set the entrypoint as `agent` - # This means that this node is the first one called - workflow.set_entry_point("agent") - - # We now add a conditional edge - workflow.add_conditional_edges( - # First, we define the start node. We use `agent`. - # This means these are the edges taken after the `agent` node is called. - "agent", - # Next, we pass in the function that will determine which node is called next. - should_continue, - # Finally we pass in a mapping. - # The keys are strings, and the values are other nodes. - # END is a special node marking that the graph should finish. - # What will happen is we will call `should_continue`, and then the output of that - # will be matched against the keys in this mapping. - # Based on which one it matches, that node will then be called. - { - # If `tools`, then we call the tool node. - "continue": "action", - # Otherwise we finish. - "end": END, - }, - ) - - # We now add a normal edge from `tools` to `agent`. - # This means that after `tools` is called, `agent` node is called next. - workflow.add_edge("action", "agent") - - # Finally, we compile it! - # This compiles it into a LangChain Runnable, - # meaning you can use it as you would any other runnable - return workflow.compile( - checkpointer=checkpoint, - interrupt_before=["action"] if interrupt_before_action else None, - ) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 306e991dd..f486d40f5 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -1,15 +1,17 @@ import json +import pathlib from typing import Any, Dict, Optional, Sequence, Union from uuid import UUID +from fastapi.responses import ORJSONResponse import langsmith.client from fastapi import APIRouter, HTTPException from langchain_core.runnables import RunnableConfig from langsmith.utils import tracing_is_enabled +import orjson from pydantic import BaseModel, Field from sse_starlette import EventSourceResponse -from app.agent import agent from app.auth.handlers import AuthedUser from app.storage import get_thread from app.lifespan import get_langserve @@ -63,10 +65,13 @@ async def stream_run( ) +CONFIG_SCHEMA = open(pathlib.Path(__file__).parent.parent / "config_schema.json").read() + + @router.get("/config_schema") async def config_schema() -> dict: """Return the config schema of the runnable.""" - return agent.config_schema().schema() + return ORJSONResponse(orjson.Fragment(CONFIG_SCHEMA)) if tracing_is_enabled(): diff --git a/backend/app/chatbot.py b/backend/app/chatbot.py deleted file mode 100644 index ebb1cedf6..000000000 --- a/backend/app/chatbot.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import Annotated, List - -from langchain_core.language_models.base import LanguageModelLike -from langchain_core.messages import BaseMessage, SystemMessage -from langgraph.checkpoint import BaseCheckpointSaver -from langgraph.graph.state import StateGraph -from langgraph.graph.message import add_messages - - -def get_chatbot_executor( - llm: LanguageModelLike, - system_message: str, - checkpoint: BaseCheckpointSaver, -): - def _get_messages(messages): - return [SystemMessage(content=system_message)] + messages - - chatbot = _get_messages | llm - - workflow = StateGraph(Annotated[List[BaseMessage], add_messages]) - workflow.add_node("chatbot", chatbot) - workflow.set_entry_point("chatbot") - workflow.set_finish_point("chatbot") - app = workflow.compile(checkpointer=checkpoint) - return app diff --git a/backend/app/config_schema.json b/backend/app/config_schema.json new file mode 100644 index 000000000..0ead2a2f1 --- /dev/null +++ b/backend/app/config_schema.json @@ -0,0 +1,652 @@ +{ + "title": "RunnableConfigurableAlternativesConfig", + "type": "object", + "properties": { + "configurable": { + "$ref": "#/definitions/Configurable" + } + }, + "definitions": { + "Bot_Type": { + "title": "Bot Type", + "description": "An enumeration.", + "enum": [ + "chatbot", + "chat_retrieval", + "agent" + ], + "type": "string" + }, + "AgentType": { + "title": "AgentType", + "description": "An enumeration.", + "enum": [ + "GPT 3.5 Turbo", + "GPT 4 Turbo", + "GPT 4 (Azure OpenAI)", + "Claude 2", + "GEMINI", + "Ollama" + ], + "type": "string" + }, + "AvailableTools": { + "title": "AvailableTools", + "description": "An enumeration.", + "enum": [ + "action_server_by_robocorp", + "ai_action_runner_by_connery", + "ddg_search", + "search_tavily", + "search_tavily_answer", + "retrieval", + "arxiv", + "you_search", + "sec_filings_kai_ai", + "press_releases_kai_ai", + "pubmed", + "wikipedia", + "dall_e" + ], + "type": "string" + }, + "ActionServerConfig": { + "title": "ActionServerConfig", + "type": "object", + "properties": { + "url": { + "title": "Url", + "type": "string" + }, + "api_key": { + "title": "Api Key", + "type": "string" + } + }, + "required": [ + "url", + "api_key" + ] + }, + "ActionServer": { + "title": "ActionServer", + "type": "object", + "properties": { + "type": { + "default": "action_server_by_robocorp", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Action Server by Robocorp", + "const": "Action Server by Robocorp", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Run AI actions with [Robocorp Action Server](https://github.com/robocorp/robocorp).", + "const": "Run AI actions with [Robocorp Action Server](https://github.com/robocorp/robocorp).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ActionServerConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": true, + "const": true, + "type": "boolean" + } + }, + "required": [ + "config" + ] + }, + "ToolConfig": { + "title": "ToolConfig", + "type": "object", + "properties": {} + }, + "Connery": { + "title": "Connery", + "type": "object", + "properties": { + "type": { + "default": "ai_action_runner_by_connery", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "AI Action Runner by Connery", + "const": "AI Action Runner by Connery", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Connect OpenGPTs to the real world with [Connery](https://github.com/connery-io/connery).", + "const": "Connect OpenGPTs to the real world with [Connery](https://github.com/connery-io/connery).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "DDGSearch": { + "title": "DDGSearch", + "type": "object", + "properties": { + "type": { + "default": "ddg_search", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "DuckDuckGo Search", + "const": "DuckDuckGo Search", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/).", + "const": "Search the web with [DuckDuckGo](https://pypi.org/project/duckduckgo-search/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "Arxiv": { + "title": "Arxiv", + "type": "object", + "properties": { + "type": { + "default": "arxiv", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Arxiv", + "const": "Arxiv", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Searches [Arxiv](https://arxiv.org/).", + "const": "Searches [Arxiv](https://arxiv.org/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "YouSearch": { + "title": "YouSearch", + "type": "object", + "properties": { + "type": { + "default": "you_search", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "You.com Search", + "const": "You.com Search", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Uses [You.com](https://you.com/) search, optimized responses for LLMs.", + "const": "Uses [You.com](https://you.com/) search, optimized responses for LLMs.", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "SecFilings": { + "title": "SecFilings", + "type": "object", + "properties": { + "type": { + "default": "sec_filings_kai_ai", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "SEC Filings (Kay.ai)", + "const": "SEC Filings (Kay.ai)", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Searches through SEC filings using [Kay.ai](https://www.kay.ai/).", + "const": "Searches through SEC filings using [Kay.ai](https://www.kay.ai/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "PressReleases": { + "title": "PressReleases", + "type": "object", + "properties": { + "type": { + "default": "press_releases_kai_ai", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Press Releases (Kay.ai)", + "const": "Press Releases (Kay.ai)", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Searches through press releases using [Kay.ai](https://www.kay.ai/).", + "const": "Searches through press releases using [Kay.ai](https://www.kay.ai/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "PubMed": { + "title": "PubMed", + "type": "object", + "properties": { + "type": { + "default": "pubmed", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "PubMed", + "const": "PubMed", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/).", + "const": "Searches [PubMed](https://pubmed.ncbi.nlm.nih.gov/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "Wikipedia": { + "title": "Wikipedia", + "type": "object", + "properties": { + "type": { + "default": "wikipedia", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Wikipedia", + "const": "Wikipedia", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Searches [Wikipedia](https://pypi.org/project/wikipedia/).", + "const": "Searches [Wikipedia](https://pypi.org/project/wikipedia/).", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "Tavily": { + "title": "Tavily", + "type": "object", + "properties": { + "type": { + "default": "search_tavily", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Search (Tavily)", + "const": "Search (Tavily)", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Uses the [Tavily](https://app.tavily.com/) search engine. Includes sources in the response.", + "const": "Uses the [Tavily](https://app.tavily.com/) search engine. Includes sources in the response.", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "TavilyAnswer": { + "title": "TavilyAnswer", + "type": "object", + "properties": { + "type": { + "default": "search_tavily_answer", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Search (short answer, Tavily)", + "const": "Search (short answer, Tavily)", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Uses the [Tavily](https://app.tavily.com/) search engine. This returns only the answer, no supporting evidence.", + "const": "Uses the [Tavily](https://app.tavily.com/) search engine. This returns only the answer, no supporting evidence.", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "Retrieval": { + "title": "Retrieval", + "type": "object", + "properties": { + "type": { + "default": "retrieval", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Retrieval", + "const": "Retrieval", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Look up information in uploaded files.", + "const": "Look up information in uploaded files.", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "DallE": { + "title": "DallE", + "type": "object", + "properties": { + "type": { + "default": "dall_e", + "allOf": [ + { + "$ref": "#/definitions/AvailableTools" + } + ] + }, + "name": { + "title": "Name", + "default": "Generate Image (Dall-E)", + "const": "Generate Image (Dall-E)", + "type": "string" + }, + "description": { + "title": "Description", + "default": "Generates images from a text description using OpenAI's DALL-E model.", + "const": "Generates images from a text description using OpenAI's DALL-E model.", + "type": "string" + }, + "config": { + "$ref": "#/definitions/ToolConfig" + }, + "multi_use": { + "title": "Multi Use", + "default": false, + "type": "boolean" + } + } + }, + "LLMType": { + "title": "LLMType", + "description": "An enumeration.", + "enum": [ + "GPT 3.5 Turbo", + "GPT 4 Turbo", + "GPT 4 (Azure OpenAI)", + "Claude 2", + "GEMINI", + "Mixtral", + "Ollama" + ], + "type": "string" + }, + "Configurable": { + "title": "Configurable", + "type": "object", + "properties": { + "assistant_id": { + "title": "Assistant ID", + "type": "string" + }, + "thread_id": { + "title": "Thread ID", + "type": "string" + }, + "thread_ts": { + "title": "Thread Timestamp", + "description": "Pass to fetch a past checkpoint. If None, fetches the latest checkpoint.", + "type": "string" + }, + "type": { + "title": "Bot Type", + "default": "agent", + "allOf": [ + { + "$ref": "#/definitions/Bot_Type" + } + ] + }, + "type==agent/agent_type": { + "title": "Agent Type", + "default": "GPT 3.5 Turbo", + "allOf": [ + { + "$ref": "#/definitions/AgentType" + } + ] + }, + "type==agent/interrupt_before_action": { + "title": "Tool Confirmation", + "description": "If Yes, you'll be prompted to continue before each tool is executed.\nIf No, tools will be executed automatically by the agent.", + "default": false, + "type": "boolean" + }, + "type==agent/retrieval_description": { + "title": "Retrieval Description", + "default": "Can be used to look up information that was uploaded to this assistant.\nIf the user is referencing particular files, that is often a good hint that information may be here.\nIf the user asks a vague question, they are likely meaning to look up info from this retriever, and you should call it!", + "type": "string" + }, + "type==agent/system_message": { + "title": "Instructions", + "default": "You are a helpful assistant.", + "type": "string" + }, + "type==agent/tools": { + "title": "Tools", + "default": [], + "type": "array", + "items": { + "anyOf": [ + { + "$ref": "#/definitions/ActionServer" + }, + { + "$ref": "#/definitions/Connery" + }, + { + "$ref": "#/definitions/DDGSearch" + }, + { + "$ref": "#/definitions/Arxiv" + }, + { + "$ref": "#/definitions/YouSearch" + }, + { + "$ref": "#/definitions/SecFilings" + }, + { + "$ref": "#/definitions/PressReleases" + }, + { + "$ref": "#/definitions/PubMed" + }, + { + "$ref": "#/definitions/Wikipedia" + }, + { + "$ref": "#/definitions/Tavily" + }, + { + "$ref": "#/definitions/TavilyAnswer" + }, + { + "$ref": "#/definitions/Retrieval" + }, + { + "$ref": "#/definitions/DallE" + } + ] + } + }, + "type==chatbot/llm_type": { + "title": "LLM Type", + "default": "GPT 3.5 Turbo", + "allOf": [ + { + "$ref": "#/definitions/LLMType" + } + ] + }, + "type==chatbot/system_message": { + "title": "Instructions", + "default": "You are a helpful assistant.", + "type": "string" + } + } + } + } +} diff --git a/backend/app/agent_types/__init__.py b/backend/app/graphs/__init__.py similarity index 100% rename from backend/app/agent_types/__init__.py rename to backend/app/graphs/__init__.py diff --git a/backend/app/new_agent.py b/backend/app/graphs/new_agent.py similarity index 97% rename from backend/app/new_agent.py rename to backend/app/graphs/new_agent.py index 6683a2499..d6417de4a 100644 --- a/backend/app/new_agent.py +++ b/backend/app/graphs/new_agent.py @@ -26,9 +26,9 @@ class LLMType(str, Enum): GPT_35_TURBO = "GPT 3.5 Turbo" GPT_4 = "GPT 4 Turbo" + GPT_4O = "GPT 4o" AZURE_OPENAI = "GPT 4 (Azure OpenAI)" CLAUDE2 = "Claude 2" - BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" GEMINI = "GEMINI" MIXTRAL = "Mixtral" OLLAMA = "Ollama" @@ -40,13 +40,13 @@ def get_llm( 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-turbo") + 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: llm = get_anthropic_llm() - elif llm_type == LLMType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) elif llm_type == LLMType.GEMINI: llm = get_google_llm() elif llm_type == LLMType.MIXTRAL: diff --git a/backend/app/new_chatbot.py b/backend/app/graphs/new_chatbot.py similarity index 91% rename from backend/app/new_chatbot.py rename to backend/app/graphs/new_chatbot.py index 30a10796f..3c9c21d78 100644 --- a/backend/app/new_chatbot.py +++ b/backend/app/graphs/new_chatbot.py @@ -17,9 +17,9 @@ class LLMType(str, Enum): GPT_35_TURBO = "GPT 3.5 Turbo" GPT_4 = "GPT 4 Turbo" + GPT_4O = "GPT 4o" AZURE_OPENAI = "GPT 4 (Azure OpenAI)" CLAUDE2 = "Claude 2" - BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" GEMINI = "GEMINI" MIXTRAL = "Mixtral" OLLAMA = "Ollama" @@ -31,13 +31,13 @@ def get_llm( 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-turbo") + 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: llm = get_anthropic_llm() - elif llm_type == LLMType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) elif llm_type == LLMType.GEMINI: llm = get_google_llm() elif llm_type == LLMType.MIXTRAL: diff --git a/backend/app/new_rag.py b/backend/app/graphs/new_rag.py similarity index 85% rename from backend/app/new_rag.py rename to backend/app/graphs/new_rag.py index 1a55c9789..fce081def 100644 --- a/backend/app/new_rag.py +++ b/backend/app/graphs/new_rag.py @@ -1,19 +1,16 @@ import operator +from enum import Enum from typing import Annotated, List, Sequence, TypedDict from uuid import uuid4 -from langchain_core.language_models.base import LanguageModelLike from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage from langchain_core.prompts import PromptTemplate -from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import chain -from langgraph.checkpoint import BaseCheckpointSaver from langgraph.graph import END from langgraph.graph.state import StateGraph +from langgraph.graph.message import add_messages -from app.message_types import LiberalToolMessage, add_messages_liberal +from app.message_types import LiberalToolMessage from app.tools import get_retriever -from enum import Enum from app.llms import ( get_anthropic_llm, get_google_llm, @@ -22,16 +19,18 @@ get_openai_llm, ) + class LLMType(str, Enum): GPT_35_TURBO = "GPT 3.5 Turbo" GPT_4 = "GPT 4 Turbo" + GPT_4O = "GPT 4o" AZURE_OPENAI = "GPT 4 (Azure OpenAI)" CLAUDE2 = "Claude 2" - BEDROCK_CLAUDE2 = "Claude 2 (Amazon Bedrock)" GEMINI = "GEMINI" MIXTRAL = "Mixtral" OLLAMA = "Ollama" + search_prompt = PromptTemplate.from_template( """Given the conversation below, come up with a search query to look up. @@ -53,19 +52,20 @@ class LLMType(str, Enum): {context}""" + def get_llm( llm_type: LLMType, ): 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-turbo") + 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: llm = get_anthropic_llm() - elif llm_type == LLMType.BEDROCK_CLAUDE2: - llm = get_anthropic_llm(bedrock=True) elif llm_type == LLMType.GEMINI: llm = get_google_llm() elif llm_type == LLMType.MIXTRAL: @@ -77,13 +77,14 @@ def get_llm( return llm - class AgentState(TypedDict): - messages: Annotated[List[BaseMessage], add_messages_liberal] + messages: Annotated[List[BaseMessage], add_messages] msg_count: Annotated[int, operator.add] + DEFAULT_SYSTEM_MESSAGE = "You are a helpful assistant." + def _get_messages(messages, system_message=DEFAULT_SYSTEM_MESSAGE): chat_history = [] for m in messages: @@ -102,9 +103,9 @@ def _get_messages(messages, system_message=DEFAULT_SYSTEM_MESSAGE): ) ] + chat_history -@chain + async def get_search_query(messages: Sequence[BaseMessage], config): - llm = config['configurable'].get("llm_type", LLMType.GPT_35_TURBO) + llm = config["configurable"].get("llm_type", LLMType.GPT_35_TURBO) convo = [] for m in messages: if isinstance(m, AIMessage): @@ -117,6 +118,7 @@ async def get_search_query(messages: Sequence[BaseMessage], config): response = await llm.ainvoke(prompt, {"tags": ["nostream"]}) return response + async def invoke_retrieval(state: AgentState): messages = state["messages"] if len(messages) == 1: @@ -153,10 +155,11 @@ async def invoke_retrieval(state: AgentState): ] } + async def retrieve(state: AgentState, config): retriever = get_retriever( - config['configurable']['assistant_id'], - config['configurable']['thread_id'], + config["configurable"]["assistant_id"], + config["configurable"]["thread_id"], ) messages = state["messages"] params = messages[-1].tool_calls[0] @@ -167,12 +170,25 @@ async def retrieve(state: AgentState, config): ) return {"messages": [msg], "msg_count": 1} + def call_model(state: AgentState, config): messages = state["messages"] - llm = get_llm(config['configurable'].get("llm_type", LLMType)) - response = llm.invoke(_get_messages(messages)) + llm = get_llm( + config["configurable"].get( + "agent==chat_retrieval/llm_type", LLMType.GPT_35_TURBO + ) + ) + response = llm.invoke( + _get_messages( + messages, + config["configurable"].get( + "agent==chat_retrieval/system_message", DEFAULT_SYSTEM_MESSAGE + ), + ) + ) return {"messages": [response], "msg_count": 1} + workflow = StateGraph(AgentState) workflow.add_node("invoke_retrieval", invoke_retrieval) workflow.add_node("retrieve", retrieve) @@ -181,4 +197,4 @@ def call_model(state: AgentState, config): workflow.add_edge("invoke_retrieval", "retrieve") workflow.add_edge("retrieve", "response") workflow.add_edge("response", END) -graph = workflow.compile() \ No newline at end of file +graph = workflow.compile() diff --git a/backend/app/retrieval.py b/backend/app/retrieval.py deleted file mode 100644 index af8e6cd8f..000000000 --- a/backend/app/retrieval.py +++ /dev/null @@ -1,141 +0,0 @@ -import operator -from typing import Annotated, List, Sequence, TypedDict -from uuid import uuid4 - -from langchain_core.language_models.base import LanguageModelLike -from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage -from langchain_core.prompts import PromptTemplate -from langchain_core.retrievers import BaseRetriever -from langchain_core.runnables import chain -from langgraph.checkpoint import BaseCheckpointSaver -from langgraph.graph import END -from langgraph.graph.state import StateGraph -from langgraph.graph.message import add_messages - -from app.message_types import LiberalToolMessage - -search_prompt = PromptTemplate.from_template( - """Given the conversation below, come up with a search query to look up. - -This search query can be either a few words or question - -Return ONLY this search query, nothing more. - ->>> Conversation: -{conversation} ->>> END OF CONVERSATION - -Remember, return ONLY the search query that will help you when formulating a response to the above conversation.""" -) - - -response_prompt_template = """{instructions} - -Respond to the user using ONLY the context provided below. Do not make anything up. - -{context}""" - - -def get_retrieval_executor( - llm: LanguageModelLike, - retriever: BaseRetriever, - system_message: str, - checkpoint: BaseCheckpointSaver, -): - class AgentState(TypedDict): - messages: Annotated[List[BaseMessage], add_messages] - msg_count: Annotated[int, operator.add] - - def _get_messages(messages): - chat_history = [] - for m in messages: - if isinstance(m, AIMessage): - if not m.tool_calls: - chat_history.append(m) - if isinstance(m, HumanMessage): - chat_history.append(m) - response = messages[-1].content - content = "\n".join([d.page_content for d in response]) - return [ - SystemMessage( - content=response_prompt_template.format( - instructions=system_message, context=content - ) - ) - ] + chat_history - - @chain - async def get_search_query(messages: Sequence[BaseMessage]): - convo = [] - for m in messages: - if isinstance(m, AIMessage): - if "function_call" not in m.additional_kwargs: - convo.append(f"AI: {m.content}") - if isinstance(m, HumanMessage): - convo.append(f"Human: {m.content}") - conversation = "\n".join(convo) - prompt = await search_prompt.ainvoke({"conversation": conversation}) - response = await llm.ainvoke(prompt, {"tags": ["nostream"]}) - return response - - async def invoke_retrieval(state: AgentState): - messages = state["messages"] - if len(messages) == 1: - human_input = messages[-1]["content"] - return { - "messages": [ - AIMessage( - content="", - tool_calls=[ - { - "id": uuid4().hex, - "name": "retrieval", - "args": {"query": human_input}, - } - ], - ) - ] - } - else: - search_query = await get_search_query.ainvoke(messages) - return { - "messages": [ - AIMessage( - id=search_query.id, - content="", - tool_calls=[ - { - "id": uuid4().hex, - "name": "retrieval", - "args": {"query": search_query.content}, - } - ], - ) - ] - } - - async def retrieve(state: AgentState): - messages = state["messages"] - params = messages[-1].tool_calls[0] - query = params["args"]["query"] - response = await retriever.ainvoke(query) - msg = LiberalToolMessage( - name="retrieval", content=response, tool_call_id=params["id"] - ) - return {"messages": [msg], "msg_count": 1} - - def call_model(state: AgentState): - messages = state["messages"] - response = llm.invoke(_get_messages(messages)) - return {"messages": [response], "msg_count": 1} - - workflow = StateGraph(AgentState) - workflow.add_node("invoke_retrieval", invoke_retrieval) - workflow.add_node("retrieve", retrieve) - workflow.add_node("response", call_model) - workflow.set_entry_point("invoke_retrieval") - workflow.add_edge("invoke_retrieval", "retrieve") - workflow.add_edge("retrieve", "response") - workflow.add_edge("response", END) - app = workflow.compile(checkpointer=checkpoint) - return app diff --git a/langgraph.json b/langgraph.json index 4e8b9421e..a56f589b6 100644 --- a/langgraph.json +++ b/langgraph.json @@ -3,8 +3,9 @@ "./backend" ], "graphs": { - "chatbot": "app.new_chatbot:graph", - "agent": "app.new_agent:graph" + "chatbot": "app.graphs.new_chatbot:graph", + "chat_retrieval": "app.graphs.new_rag:graph", + "agent": "app.graphs.new_agent:graph" }, "env": ".env" } From 435db458123bf8e747f0347a1bd608da9f682bc4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 14:42:12 -0700 Subject: [PATCH 09/50] Rename --- backend/app/upload.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/backend/app/upload.py b/backend/app/upload.py index e2dac7e96..ae50f0290 100644 --- a/backend/app/upload.py +++ b/backend/app/upload.py @@ -82,7 +82,7 @@ def convert_ingestion_input_to_blob(file: UploadFile) -> Blob: ) -def _determine_azure_or_openai_embeddings() -> PGVector: +def get_vectorstore() -> PGVector: if os.environ.get("OPENAI_API_KEY"): return PGVector( connection_string=PG_CONNECTION_STRING, @@ -152,7 +152,7 @@ def invoke(self, blob: Blob, config: Optional[RunnableConfig] = None) -> List[st user=os.environ["POSTGRES_USER"], password=os.environ["POSTGRES_PASSWORD"], ) -vstore = _determine_azure_or_openai_embeddings() +vstore = get_vectorstore() ingest_runnable = IngestRunnable( From c0f49de103c6bdd18e5429ade08d7ebd8ab7303b Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 14:43:18 -0700 Subject: [PATCH 10/50] Fix --- backend/app/graphs/new_rag.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/backend/app/graphs/new_rag.py b/backend/app/graphs/new_rag.py index fce081def..7ac940ebe 100644 --- a/backend/app/graphs/new_rag.py +++ b/backend/app/graphs/new_rag.py @@ -5,6 +5,7 @@ from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage from langchain_core.prompts import PromptTemplate +from langchain_core.runnables import chain from langgraph.graph import END from langgraph.graph.state import StateGraph from langgraph.graph.message import add_messages @@ -104,6 +105,7 @@ def _get_messages(messages, system_message=DEFAULT_SYSTEM_MESSAGE): ] + chat_history +@chain async def get_search_query(messages: Sequence[BaseMessage], config): llm = config["configurable"].get("llm_type", LLMType.GPT_35_TURBO) convo = [] From 53aeddd414747cf3c020c39d1209141d35a2d3c2 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 14:46:00 -0700 Subject: [PATCH 11/50] Fix --- backend/app/graphs/new_rag.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/backend/app/graphs/new_rag.py b/backend/app/graphs/new_rag.py index 7ac940ebe..2606f97bc 100644 --- a/backend/app/graphs/new_rag.py +++ b/backend/app/graphs/new_rag.py @@ -107,7 +107,11 @@ def _get_messages(messages, system_message=DEFAULT_SYSTEM_MESSAGE): @chain async def get_search_query(messages: Sequence[BaseMessage], config): - llm = config["configurable"].get("llm_type", LLMType.GPT_35_TURBO) + llm = get_llm( + config["configurable"].get( + "agent==chat_retrieval/llm_type", LLMType.GPT_35_TURBO + ) + ) convo = [] for m in messages: if isinstance(m, AIMessage): From 8ca9495413682836d3b80f60c33002c406d7a3d3 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 3 May 2024 14:56:59 -0700 Subject: [PATCH 12/50] Fix interrupt on tools --- backend/app/api/runs.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index f486d40f5..643f7c07f 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -13,7 +13,7 @@ from sse_starlette import EventSourceResponse from app.auth.handlers import AuthedUser -from app.storage import get_thread +from app.storage import get_assistant, get_thread from app.lifespan import get_langserve router = APIRouter() @@ -50,6 +50,9 @@ async def stream_run( thread = await get_thread(user["user_id"], payload.thread_id) if not thread: raise HTTPException(status_code=404, detail="Thread not found") + assistant = await get_assistant(user["user_id"], thread["assistant_id"]) + if not assistant: + raise HTTPException(status_code=404, detail="Assistant not found") return EventSourceResponse( ( @@ -60,6 +63,11 @@ async def stream_run( input=payload.input, config=payload.config, stream_mode="messages", + interrupt_before=["action"] + if assistant["config"]["configurable"].get( + "type==agent/interrupt_before_action" + ) + else None, ) ) ) From 6fc91f455ea16be240832b5a5e1754afec34d4de Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 7 May 2024 09:53:56 -0700 Subject: [PATCH 13/50] Remove docker compose files --- docker-compose-prod.yml | 39 ---------------------------- docker-compose.yml | 57 ----------------------------------------- 2 files changed, 96 deletions(-) delete mode 100644 docker-compose-prod.yml delete mode 100644 docker-compose.yml diff --git a/docker-compose-prod.yml b/docker-compose-prod.yml deleted file mode 100644 index e94ac4ac2..000000000 --- a/docker-compose-prod.yml +++ /dev/null @@ -1,39 +0,0 @@ -version: "3" - -services: - postgres: - image: pgvector/pgvector:pg16 - healthcheck: - test: pg_isready -U $POSTGRES_USER - start_interval: 1s - start_period: 5s - interval: 5s - retries: 5 - ports: - - "5433:5432" - env_file: - - .env - volumes: - - ./postgres-volume:/var/lib/postgresql/data - postgres-setup: - image: migrate/migrate - depends_on: - postgres: - condition: service_healthy - volumes: - - ./backend/migrations:/migrations - env_file: - - .env - command: ["-path", "/migrations", "-database", "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", "up"] - backend: - container_name: opengpts-backend - image: docker.io/langchain/open-gpts:latest - ports: - - "8100:8000" # Backend is accessible on localhost:8100 and serves the frontend - depends_on: - postgres-setup: - condition: service_completed_successfully - env_file: - - .env - environment: - POSTGRES_HOST: "postgres" diff --git a/docker-compose.yml b/docker-compose.yml deleted file mode 100644 index 1dc110efb..000000000 --- a/docker-compose.yml +++ /dev/null @@ -1,57 +0,0 @@ -version: "3" - -services: - postgres: - image: pgvector/pgvector:pg16 - healthcheck: - test: pg_isready -U $POSTGRES_USER - start_interval: 1s - start_period: 5s - interval: 5s - retries: 5 - ports: - - "5434:5432" - env_file: - - .env - volumes: - - ./postgres-volume:/var/lib/postgresql/data - postgres-setup: - image: migrate/migrate - depends_on: - postgres: - condition: service_healthy - volumes: - - ./backend/migrations:/migrations - env_file: - - .env - command: ["-path", "/migrations", "-database", "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", "up"] - backend: - container_name: opengpts-backend - build: - context: backend - ports: - - "8100:8000" # Backend is accessible on localhost:8100 - depends_on: - postgres-setup: - condition: service_completed_successfully - env_file: - - .env - volumes: - - ./backend:/backend - environment: - POSTGRES_HOST: "postgres" - command: - - --reload - frontend: - container_name: opengpts-frontend - build: - context: frontend - depends_on: - backend: - condition: service_healthy - volumes: - - ./frontend/src:/frontend/src - ports: - - "5173:5173" # Frontend is accessible on localhost:5173 - environment: - VITE_BACKEND_URL: "http://backend:8000" From 68411e7662e728de4462e60c183a0e6bf8b40460 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 10:49:40 -0700 Subject: [PATCH 14/50] Fix connection string --- backend/app/upload.py | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/backend/app/upload.py b/backend/app/upload.py index ae50f0290..1662e7f49 100644 --- a/backend/app/upload.py +++ b/backend/app/upload.py @@ -85,13 +85,13 @@ def convert_ingestion_input_to_blob(file: UploadFile) -> Blob: def get_vectorstore() -> PGVector: if os.environ.get("OPENAI_API_KEY"): return PGVector( - connection_string=PG_CONNECTION_STRING, + connection_string=os.environ["POSTGRES_URI"], embedding_function=OpenAIEmbeddings(), use_jsonb=True, ) if os.environ.get("AZURE_OPENAI_API_KEY"): return PGVector( - connection_string=PG_CONNECTION_STRING, + connection_string=os.environ["POSTGRES_URI"], embedding_function=AzureOpenAIEmbeddings( azure_endpoint=os.environ.get("AZURE_OPENAI_API_BASE"), azure_deployment=os.environ.get( @@ -144,14 +144,6 @@ def invoke(self, blob: Blob, config: Optional[RunnableConfig] = None) -> List[st return out -PG_CONNECTION_STRING = PGVector.connection_string_from_db_params( - driver="psycopg2", - host=os.environ["POSTGRES_HOST"], - port=int(os.environ["POSTGRES_PORT"]), - database=os.environ["POSTGRES_DB"], - user=os.environ["POSTGRES_USER"], - password=os.environ["POSTGRES_PASSWORD"], -) vstore = get_vectorstore() From 17d2c792159ebe3ce4ae42457f68b01c45f7a27a Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 13:50:05 -0700 Subject: [PATCH 15/50] Add python version --- langgraph.json | 1 + 1 file changed, 1 insertion(+) diff --git a/langgraph.json b/langgraph.json index a56f589b6..a16f7f95d 100644 --- a/langgraph.json +++ b/langgraph.json @@ -1,4 +1,5 @@ { + "python_version": "3.11", "dependencies": [ "./backend" ], From 771212c6e610e1132795807c66855de06046ceb4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 13:51:21 -0700 Subject: [PATCH 16/50] Fix missing url --- compose.override.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/compose.override.yml b/compose.override.yml index 1a7687c7c..705eb6e9d 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -15,7 +15,7 @@ services: "-path", "/migrations", "-database", - "postgres://$POSTGRES_USER:$POSTGRES_PASSWORD@postgres:$POSTGRES_PORT/$POSTGRES_DB?sslmode=disable", + "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable", "up", ] backend: @@ -35,7 +35,7 @@ services: volumes: - ./backend:/backend environment: - POSTGRES_HOST: "postgres" + POSTGRES_URI: "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable&search_path=langgraph" LANGSERVE_URL: "http://langserve:8000" command: - --reload From 0fc76e1c79c010e7e2d79eb0fcb889c00e40396d Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 13:51:59 -0700 Subject: [PATCH 17/50] Remove unused checkpointer --- backend/app/checkpoint.py | 147 -------------------------------------- 1 file changed, 147 deletions(-) delete mode 100644 backend/app/checkpoint.py diff --git a/backend/app/checkpoint.py b/backend/app/checkpoint.py deleted file mode 100644 index abb3e9e38..000000000 --- a/backend/app/checkpoint.py +++ /dev/null @@ -1,147 +0,0 @@ -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 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), - ) - return { - "configurable": { - "thread_id": thread_id, - "thread_ts": checkpoint["ts"], - } - } From da65904fb786d627959f2560bd56b9aadb160a6e Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 14:37:54 -0700 Subject: [PATCH 18/50] Update --- .gitignore | 2 +- backend/app/lifespan.py | 8 ++------ backend/app/upload.py | 4 ++-- backend/poetry.lock | 18 +++++++++--------- backend/pyproject.toml | 4 ++-- compose.override.yml | 14 +++++++++----- 6 files changed, 25 insertions(+), 25 deletions(-) diff --git a/.gitignore b/.gitignore index 544901d4a..da1c7f0ab 100644 --- a/.gitignore +++ b/.gitignore @@ -1,7 +1,7 @@ *.env .env.gcp.yaml postgres-volume/ -.langserve-data +.langgraph-data redis-volume/ backend/ui diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index cc185b265..ed4bbfc00 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -55,14 +55,10 @@ async def lifespan(app: FastAPI): global _pg_pool, _langserve _pg_pool = await asyncpg.create_pool( - database=os.environ["POSTGRES_DB"], - user=os.environ["POSTGRES_USER"], - password=os.environ["POSTGRES_PASSWORD"], - host=os.environ["POSTGRES_HOST"], - port=os.environ["POSTGRES_PORT"], + os.environ["POSTGRES_URI"], init=_init_connection, ) - _langserve = get_client(url=os.environ["LANGSERVE_URL"]) + _langserve = get_client(url=os.environ["LANGGRAPH_URL"]) yield await _pg_pool.close() await _langserve.http.client.aclose() diff --git a/backend/app/upload.py b/backend/app/upload.py index 1662e7f49..29dd2fead 100644 --- a/backend/app/upload.py +++ b/backend/app/upload.py @@ -85,13 +85,13 @@ def convert_ingestion_input_to_blob(file: UploadFile) -> Blob: def get_vectorstore() -> PGVector: if os.environ.get("OPENAI_API_KEY"): return PGVector( - connection_string=os.environ["POSTGRES_URI"], + connection_string=os.environ["PGVECTOR_URI"], embedding_function=OpenAIEmbeddings(), use_jsonb=True, ) if os.environ.get("AZURE_OPENAI_API_KEY"): return PGVector( - connection_string=os.environ["POSTGRES_URI"], + connection_string=os.environ["PGVECTOR_URI"], embedding_function=AzureOpenAIEmbeddings( azure_endpoint=os.environ.get("AZURE_OPENAI_API_BASE"), azure_deployment=os.environ.get( diff --git a/backend/poetry.lock b/backend/poetry.lock index 8f54a7feb..13bb7965d 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1893,13 +1893,13 @@ langchain-core = ">=0.1.46,<0.2.0" [[package]] name = "langgraph-cli" -version = "0.1.3" +version = "0.1.11" description = "" optional = false -python-versions = "<3.12,>=3.9.0" +python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_cli-0.1.3-py3-none-any.whl", hash = "sha256:c3f3da4ada34281c0481498f5f4aaf23a69b83770fc30daafb8aab1173613067"}, - {file = "langgraph_cli-0.1.3.tar.gz", hash = "sha256:ce1f9c09c238a54efdecda9a9c4ba79437f641c421e94f5859e01db7f99fdc77"}, + {file = "langgraph_cli-0.1.11-py3-none-any.whl", hash = "sha256:36999b3025fe85002d4cd50f659d488bfe54c55415ee4f2db90ea0378ff23d18"}, + {file = "langgraph_cli-0.1.11.tar.gz", hash = "sha256:33418d20b8739028e8dc29856ac789a44caf9715c42f9259b5f99b3f85b62c3e"}, ] [package.dependencies] @@ -1907,13 +1907,13 @@ click = ">=8.1.7,<9.0.0" [[package]] name = "langgraph-sdk" -version = "0.1.1" +version = "0.1.5" description = "" optional = false -python-versions = "<3.12,>=3.9.0" +python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_sdk-0.1.1-py3-none-any.whl", hash = "sha256:1fcb67c3a888d383aefa018f60f1c25daf125019e03827e6090348b27111137d"}, - {file = "langgraph_sdk-0.1.1.tar.gz", hash = "sha256:7fa4b463f989a15966536518459e298e5483ae3e927fefe11dfb95964ab228f6"}, + {file = "langgraph_sdk-0.1.5-py3-none-any.whl", hash = "sha256:bedc4f17d90798a434db01afca50b7ef205406c93c72918df98f869e6651e0bd"}, + {file = "langgraph_sdk-0.1.5.tar.gz", hash = "sha256:e63bfc2dd5555935e5cc463c5b06805a27faca9d910e47b7bbbf87085877aa8b"}, ] [package.dependencies] @@ -4254,4 +4254,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "9443099007f4a98c41c79950b168bce998e50a6621a91d86fb92e123966b6616" +content-hash = "7d177296781ab2f28b85311bfb8dc5a01b497d127ebd7cd4899e987777d52c0e" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 25fc17aa4..cedc5a2e5 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -44,8 +44,8 @@ pyjwt = {extras = ["crypto"], version = "^2.8.0"} langchain-anthropic = "^0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" -langgraph-sdk = "^0.1.1" -langgraph-cli = "^0.1.3" +langgraph-sdk = "^0.1.5" +langgraph-cli = "^0.1.11" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/compose.override.yml b/compose.override.yml index 705eb6e9d..d1f04c8a8 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -1,10 +1,13 @@ services: - postgres: + langgraph-api: + environment: + PGVECTOR_URI: "postgresql+psycopg2://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" + langgraph-postgres: image: pgvector/pgvector:pg16 postgres-setup: image: migrate/migrate depends_on: - postgres: + langgraph-postgres: condition: service_healthy volumes: - ./backend/migrations:/migrations @@ -26,7 +29,7 @@ services: ports: - "8100:8000" # Backend is accessible on localhost:8100 depends_on: - langserve: + langgraph-api: condition: service_healthy postgres-setup: condition: service_completed_successfully @@ -35,8 +38,9 @@ services: volumes: - ./backend:/backend environment: - POSTGRES_URI: "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable&search_path=langgraph" - LANGSERVE_URL: "http://langserve:8000" + POSTGRES_URI: "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" + PGVECTOR_URI: "postgresql+psycopg2://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" + LANGGRAPH_URL: "http://langgraph-api:8000" command: - --reload frontend: From 8b3b236c753184cd6b7aef3fc9ac63194dc5244b Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 16:26:40 -0700 Subject: [PATCH 19/50] Fix 500 when retrieving assistant created outside opengpts api --- backend/app/storage.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/backend/app/storage.py b/backend/app/storage.py index b30149ac7..554852b8b 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -26,10 +26,9 @@ async def list_assistants(user_id: str) -> List[Assistant]: async def get_assistant(user_id: str, assistant_id: str) -> Optional[Assistant]: """Get an assistant by ID.""" assistant = await get_langserve().assistants.get(assistant_id) - if ( - assistant["metadata"]["user_id"] != user_id - and not assistant["metadata"]["public"] - ): + if assistant["metadata"].get("user_id") != user_id and not assistant[ + "metadata" + ].get("public"): return None else: return Assistant( @@ -116,7 +115,7 @@ async def list_threads(user_id: str) -> List[Thread]: async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: """Get a thread by ID.""" thread = await get_langserve().threads.get(thread_id) - if thread["metadata"]["user_id"] != user_id: + if thread["metadata"].get("user_id") != user_id: return None else: return Thread( From 01fdf9636a19bde298e6f7def211309e281bf950 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 17:32:19 -0700 Subject: [PATCH 20/50] Fix user qury --- backend/app/storage.py | 3 ++- backend/migrations/000003_create_user.up.sql | 4 ++-- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/backend/app/storage.py b/backend/app/storage.py index 554852b8b..3b6a1ae9c 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -177,6 +177,7 @@ async def get_or_create_user(sub: str) -> tuple[User, bool]: if user := await conn.fetchrow('SELECT * FROM "user" WHERE sub = $1', sub): return user, False user = await conn.fetchrow( - 'INSERT INTO "user" (sub) VALUES ($1) RETURNING *', sub + 'INSERT INTO "user" (sub) VALUES ($1) ON CONFLICT (sub) DO NOTHING RETURNING *', + sub, ) return user, True diff --git a/backend/migrations/000003_create_user.up.sql b/backend/migrations/000003_create_user.up.sql index 45612f9c1..bf0ae7bc6 100644 --- a/backend/migrations/000003_create_user.up.sql +++ b/backend/migrations/000003_create_user.up.sql @@ -1,5 +1,5 @@ CREATE TABLE IF NOT EXISTS "user" ( - user_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), sub VARCHAR(255) UNIQUE NOT NULL, created_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC') ); @@ -22,4 +22,4 @@ ALTER TABLE assistant ALTER TABLE thread ALTER COLUMN user_id TYPE UUID USING (user_id::UUID), - ADD CONSTRAINT fk_thread_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); \ No newline at end of file + ADD CONSTRAINT fk_thread_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); From 2755495e9edd1da512f4350d8be669ee6d2133f4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 17:57:44 -0700 Subject: [PATCH 21/50] Mark custom message types as loadable --- backend/app/message_types.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/backend/app/message_types.py b/backend/app/message_types.py index c38e66e40..96def015a 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,6 +1,7 @@ from typing import Any from langchain_core.messages import FunctionMessage, ToolMessage +from langchain_core.load.load import ALL_SERIALIZABLE_MAPPINGS class LiberalFunctionMessage(FunctionMessage): @@ -9,3 +10,16 @@ class LiberalFunctionMessage(FunctionMessage): class LiberalToolMessage(ToolMessage): content: Any + + +# Register for deserialization + +ALL_SERIALIZABLE_MAPPINGS[ + ("langchain", "schema", "messages", "LiberalFunctionMessage") +] = ("app", "message_types", "LiberalFunctionMessage") + +ALL_SERIALIZABLE_MAPPINGS[("langchain", "schema", "messages", "LiberalToolMessage")] = ( + "app", + "message_types", + "LiberalToolMessage", +) From 994ece6086be62e90fa89e52301f9d6be09d8e70 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 8 May 2024 17:57:50 -0700 Subject: [PATCH 22/50] Update sdk for better error messages --- backend/poetry.lock | 8 ++++---- backend/pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index 13bb7965d..2f4151391 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1907,13 +1907,13 @@ click = ">=8.1.7,<9.0.0" [[package]] name = "langgraph-sdk" -version = "0.1.5" +version = "0.1.6" description = "" optional = false python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_sdk-0.1.5-py3-none-any.whl", hash = "sha256:bedc4f17d90798a434db01afca50b7ef205406c93c72918df98f869e6651e0bd"}, - {file = "langgraph_sdk-0.1.5.tar.gz", hash = "sha256:e63bfc2dd5555935e5cc463c5b06805a27faca9d910e47b7bbbf87085877aa8b"}, + {file = "langgraph_sdk-0.1.6-py3-none-any.whl", hash = "sha256:2a6c9d723d58e0cb980be3f828aaa3b3453330669c34861d5e00813689f6d645"}, + {file = "langgraph_sdk-0.1.6.tar.gz", hash = "sha256:e39388edd8aad13fde762faf180212a4f082bf00fffd57bd84d617f5fa5e88e6"}, ] [package.dependencies] @@ -4254,4 +4254,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "7d177296781ab2f28b85311bfb8dc5a01b497d127ebd7cd4899e987777d52c0e" +content-hash = "90ba03238d321363d2b21633295dac22e7e005a9b18bc6c3f627df400036b87b" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index cedc5a2e5..1c2ebabc5 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -44,7 +44,7 @@ pyjwt = {extras = ["crypto"], version = "^2.8.0"} langchain-anthropic = "^0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" -langgraph-sdk = "^0.1.5" +langgraph-sdk = "^0.1.6" langgraph-cli = "^0.1.11" [tool.poetry.group.dev.dependencies] From 40187ce041bd9a9393b16f5f0828239ea6907393 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 9 May 2024 13:50:30 -0700 Subject: [PATCH 23/50] Fix serving ui from backend container --- Dockerfile | 5 ++- backend/Dockerfile | 2 +- backend/app/api/__init__.py | 30 +++++++++++++-- backend/app/server.py | 51 +++++++++---------------- backend/app/storage.py | 9 +++-- compose.override.yml | 1 + deploy.sh | 7 ++++ frontend/src/api/assistants.ts | 4 +- frontend/src/api/threads.ts | 2 +- frontend/src/hooks/useChatList.ts | 6 +-- frontend/src/hooks/useChatMessages.ts | 2 +- frontend/src/hooks/useConfigList.ts | 4 +- frontend/src/hooks/useMessageEditing.ts | 2 +- frontend/src/hooks/useSchemas.ts | 2 +- frontend/src/hooks/useStreamState.tsx | 2 +- frontend/vite.config.ts | 4 +- 16 files changed, 78 insertions(+), 55 deletions(-) create mode 100644 deploy.sh diff --git a/Dockerfile b/Dockerfile index 7289dedbc..359a7ba5b 100644 --- a/Dockerfile +++ b/Dockerfile @@ -44,5 +44,8 @@ COPY ./backend . # Copy the frontend build COPY --from=builder /frontend/dist ./ui +COPY --from=builder /frontend/dist/index.html ./ui/404.html -ENTRYPOINT [ "uvicorn", "app.server:app", "--host", "0.0.0.0", "--log-config", "log_config.json" ] +ENV PORT=8000 + +ENTRYPOINT uvicorn app.server:app --host 0.0.0.0 --port $PORT --log-config log_config.json diff --git a/backend/Dockerfile b/backend/Dockerfile index 371e807b2..a195bfbde 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -27,6 +27,6 @@ RUN poetry config virtualenvs.create false \ # Copy the rest of application code COPY . . -HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --start-interval=1s --retries=3 CMD [ "curl", "-f", "http://localhost:8000/health" ] +HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --start-interval=1s --retries=3 CMD [ "curl", "-f", "http://localhost:8000/ok" ] ENTRYPOINT [ "uvicorn", "app.server:app", "--host", "0.0.0.0", "--log-config", "log_config.json" ] diff --git a/backend/app/api/__init__.py b/backend/app/api/__init__.py index 47d463e57..93aef80d9 100644 --- a/backend/app/api/__init__.py +++ b/backend/app/api/__init__.py @@ -1,5 +1,9 @@ -from fastapi import APIRouter +import orjson +from fastapi import APIRouter, Form, UploadFile, HTTPException +import app.storage as storage +from app.auth.handlers import AuthedUser +from app.upload import convert_ingestion_input_to_blob, ingest_runnable from app.api.assistants import router as assistants_router from app.api.runs import router as runs_router from app.api.threads import router as threads_router @@ -7,9 +11,27 @@ router = APIRouter() -@router.get("/ok") -async def ok(): - return {"ok": True} +@router.post("/ingest", description="Upload files to the given assistant.") +async def ingest_files( + files: list[UploadFile], user: AuthedUser, config: str = Form(...) +) -> None: + """Ingest a list of files.""" + config = orjson.loads(config) + + assistant_id = config["configurable"].get("assistant_id") + if assistant_id is not None: + 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) + if thread is None: + raise HTTPException(status_code=404, detail="Thread not found.") + + file_blobs = [convert_ingestion_input_to_blob(file) for file in files] + return ingest_runnable.batch(file_blobs, config) router.include_router( diff --git a/backend/app/server.py b/backend/app/server.py index 78650b8be..cfe3ab8bd 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -1,19 +1,18 @@ import os from pathlib import Path +from typing import Any, MutableMapping -from fastapi.exception_handlers import http_exception_handler import httpx -import orjson import structlog -from fastapi import FastAPI, Form, UploadFile +from fastapi import FastAPI +from fastapi.exception_handlers import http_exception_handler from fastapi.exceptions import HTTPException +from fastapi.responses import FileResponse from fastapi.staticfiles import StaticFiles +from starlette.responses import Response -import app.storage as storage from app.api import router as api_router -from app.auth.handlers import AuthedUser from app.lifespan import lifespan -from app.upload import convert_ingestion_input_to_blob, ingest_runnable logger = structlog.get_logger(__name__) @@ -31,41 +30,29 @@ async def httpx_http_status_error_handler(request, exc: httpx.HTTPStatusError): ROOT = Path(__file__).parent.parent -app.include_router(api_router) - +@app.get("/ok") +async def ok(): + return {"ok": True} -@app.post("/ingest", description="Upload files to the given assistant.") -async def ingest_files( - files: list[UploadFile], user: AuthedUser, config: str = Form(...) -) -> None: - """Ingest a list of files.""" - config = orjson.loads(config) - assistant_id = config["configurable"].get("assistant_id") - if assistant_id is not None: - assistant = await storage.get_assistant(user["user_id"], assistant_id) - if assistant is None: - raise HTTPException(status_code=404, detail="Assistant not found.") +app.include_router(api_router, prefix="/api") - thread_id = config["configurable"].get("thread_id") - if thread_id is not None: - thread = await storage.get_thread(user["user_id"], thread_id) - if thread is None: - raise HTTPException(status_code=404, detail="Thread not found.") - - file_blobs = [convert_ingestion_input_to_blob(file) for file in files] - return ingest_runnable.batch(file_blobs, config) +ui_dir = str(ROOT / "ui") -@app.get("/health") -async def health() -> dict: - return {"status": "ok"} +class StaticFilesSpa(StaticFiles): + async def get_response( + self, path: str, scope: MutableMapping[str, Any] + ) -> Response: + res = await super().get_response(path, scope) + if isinstance(res, FileResponse) and res.status_code == 404: + res.status_code = 200 + return res -ui_dir = str(ROOT / "ui") if os.path.exists(ui_dir): - app.mount("", StaticFiles(directory=ui_dir, html=True), name="ui") + app.mount("", StaticFilesSpa(directory=ui_dir, html=True), name="ui") else: logger.warn("No UI directory found, serving API only.") diff --git a/backend/app/storage.py b/backend/app/storage.py index 3b6a1ae9c..4bad0a173 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -176,8 +176,11 @@ async def get_or_create_user(sub: str) -> tuple[User, bool]: 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 user := await conn.fetchrow( 'INSERT INTO "user" (sub) VALUES ($1) ON CONFLICT (sub) DO NOTHING RETURNING *', sub, - ) - return user, True + ): + return user, True + if user := await conn.fetchrow('SELECT * FROM "user" WHERE sub = $1', sub): + return user, False + raise RuntimeError("User creation failed.") diff --git a/compose.override.yml b/compose.override.yml index d1f04c8a8..b4071df86 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -45,6 +45,7 @@ services: - --reload frontend: container_name: opengpts-frontend + pull_policy: build build: context: frontend depends_on: diff --git a/deploy.sh b/deploy.sh new file mode 100644 index 000000000..547ae6711 --- /dev/null +++ b/deploy.sh @@ -0,0 +1,7 @@ +langgraph build -t langchain/opengpts-langgraph:0.1.5 --platform linux/amd64,linux/arm64 +docker push langchain/opengpts-langgraph:0.1.5 +gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.5 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml + +docker build -t langchain/opengpts-backend:0.1.1 --platform linux/amd64,linux/arm64 . +docker push langchain/opengpts-backend:0.1.1 +gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.1 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml diff --git a/frontend/src/api/assistants.ts b/frontend/src/api/assistants.ts index aa5a175a2..94b41c2f7 100644 --- a/frontend/src/api/assistants.ts +++ b/frontend/src/api/assistants.ts @@ -4,7 +4,7 @@ export async function getAssistant( assistantId: string, ): Promise { try { - const response = await fetch(`/assistants/${assistantId}`); + const response = await fetch(`/api/assistants/${assistantId}`); if (!response.ok) { return null; } @@ -17,7 +17,7 @@ export async function getAssistant( export async function getAssistants(): Promise { try { - const response = await fetch(`/assistants/`); + const response = await fetch(`/api/assistants/`); if (!response.ok) { return null; } diff --git a/frontend/src/api/threads.ts b/frontend/src/api/threads.ts index ffa1b879e..1837f8862 100644 --- a/frontend/src/api/threads.ts +++ b/frontend/src/api/threads.ts @@ -2,7 +2,7 @@ import { Chat } from "../types"; export async function getThread(threadId: string): Promise { try { - const response = await fetch(`/threads/${threadId}`); + const response = await fetch(`/api/threads/${threadId}`); if (!response.ok) { return null; } diff --git a/frontend/src/hooks/useChatList.ts b/frontend/src/hooks/useChatList.ts index 5778b5e49..2c76b065c 100644 --- a/frontend/src/hooks/useChatList.ts +++ b/frontend/src/hooks/useChatList.ts @@ -33,7 +33,7 @@ export function useChatList(): ChatListProps { useEffect(() => { async function fetchChats() { - const chats = await fetch("/threads/", { + const chats = await fetch("/api/threads/", { headers: { Accept: "application/json", }, @@ -45,7 +45,7 @@ export function useChatList(): ChatListProps { }, []); const createChat = useCallback(async (name: string, assistant_id: string) => { - const response = await fetch(`/threads`, { + const response = await fetch(`/api/threads`, { method: "POST", body: JSON.stringify({ assistant_id, name }), headers: { @@ -77,7 +77,7 @@ export function useChatList(): ChatListProps { const deleteChat = useCallback( async (thread_id: string) => { - await fetch(`/threads/${thread_id}`, { + await fetch(`/api/threads/${thread_id}`, { method: "DELETE", headers: { Accept: "application/json", diff --git a/frontend/src/hooks/useChatMessages.ts b/frontend/src/hooks/useChatMessages.ts index b830cfa7e..c89546cec 100644 --- a/frontend/src/hooks/useChatMessages.ts +++ b/frontend/src/hooks/useChatMessages.ts @@ -3,7 +3,7 @@ import { Message } from "../types"; import { StreamState, mergeMessagesById } from "./useStreamState"; async function getState(threadId: string) { - const { values, next } = await fetch(`/threads/${threadId}/state`, { + const { values, next } = await fetch(`/api/threads/${threadId}/state`, { headers: { Accept: "application/json", }, diff --git a/frontend/src/hooks/useConfigList.ts b/frontend/src/hooks/useConfigList.ts index 91014f05b..548ce6a1a 100644 --- a/frontend/src/hooks/useConfigList.ts +++ b/frontend/src/hooks/useConfigList.ts @@ -71,7 +71,7 @@ export function useConfigList(): ConfigListProps { assistantId?: string, ): Promise => { const confResponse = await fetch( - assistantId ? `/assistants/${assistantId}` : "/assistants", + assistantId ? `/api/assistants/${assistantId}` : "/api/assistants", { method: assistantId ? "PUT" : "POST", body: JSON.stringify({ name, config, public: isPublic }), @@ -92,7 +92,7 @@ export function useConfigList(): ConfigListProps { "config", JSON.stringify({ configurable: { assistant_id } }), ); - await fetch(`/ingest`, { + await fetch(`/api/ingest`, { method: "POST", body: formData, }); diff --git a/frontend/src/hooks/useMessageEditing.ts b/frontend/src/hooks/useMessageEditing.ts index 91ba3ba91..457bceeef 100644 --- a/frontend/src/hooks/useMessageEditing.ts +++ b/frontend/src/hooks/useMessageEditing.ts @@ -13,7 +13,7 @@ export function useMessageEditing( }, []); const commitEdits = useCallback(async () => { if (!threadId) return; - fetch(`/threads/${threadId}/state`, { + fetch(`/api/threads/${threadId}/state`, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ values: Object.values(editing) }), diff --git a/frontend/src/hooks/useSchemas.ts b/frontend/src/hooks/useSchemas.ts index a6d54ba8e..00f98b795 100644 --- a/frontend/src/hooks/useSchemas.ts +++ b/frontend/src/hooks/useSchemas.ts @@ -36,7 +36,7 @@ export function useSchemas() { useEffect(() => { async function save() { - const configSchema = await fetch("/runs/config_schema") + const configSchema = await fetch("/api/runs/config_schema") .then((r) => r.json()) .then(simplifySchema); setSchemas({ diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 36596284f..f79aa9c99 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -33,7 +33,7 @@ export function useStreamState(): StreamStateProps { setController(controller); setCurrent({ status: "inflight", messages: input || [] }); - await fetchEventSource("/runs/stream", { + await fetchEventSource("/api/runs/stream", { signal: controller.signal, method: "POST", headers: { "Content-Type": "application/json" }, diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts index a8a086ee6..c3ebeba3a 100644 --- a/frontend/vite.config.ts +++ b/frontend/vite.config.ts @@ -6,10 +6,10 @@ export default defineConfig({ plugins: [react()], server: { watch: { - usePolling: true + usePolling: true, }, proxy: { - "^/(assistants|threads|ingest|runs)": { + "/api": { target: process.env.VITE_BACKEND_URL || "http://127.0.0.1:8100", changeOrigin: true, rewrite: (path) => path.replace("/____LANGSERVE_BASE_URL", ""), From 2d99aed4eb7b3e0157c7e1a3d11a9d1c1656e338 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 10 May 2024 17:39:00 -0700 Subject: [PATCH 24/50] Fix --- backend/app/storage.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/backend/app/storage.py b/backend/app/storage.py index 4bad0a173..a8403c64b 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -103,10 +103,11 @@ async def list_threads(user_id: str) -> List[Thread]: return [ Thread( thread_id=t["thread_id"], - user_id=t["metadata"]["user_id"], - assistant_id=t["metadata"]["assistant_id"], - name=t["metadata"]["name"], + user_id=t["metadata"].pop("user_id"), + assistant_id=t["metadata"].pop("assistant_id"), + name=t["metadata"].pop("name"), updated_at=t["updated_at"], + metadata=t["metadata"], ) for t in threads ] @@ -120,10 +121,11 @@ async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: else: return Thread( thread_id=thread["thread_id"], - user_id=thread["metadata"]["user_id"], - assistant_id=thread["metadata"]["assistant_id"], - name=thread["metadata"]["name"], + user_id=thread["metadata"].pop("user_id"), + assistant_id=thread["metadata"].pop("assistant_id"), + name=thread["metadata"].pop("name"), updated_at=thread["updated_at"], + metadata=thread["metadata"], ) From 2dd2963f376f26604ebeb560eeeb22d752130090 Mon Sep 17 00:00:00 2001 From: Andrew Nguonly Date: Thu, 16 May 2024 16:31:43 -0700 Subject: [PATCH 25/50] Update functionality of thumb up/down buttons in UI to update thread checkpoint metadata score (#338) * Update functionality of thumbs up/down buttons in UI to update thread checkpoint metadata score. * Fix bugs with calling PATCH threads//state API. * Update frontend to expose Self-Learning Assistant. * cr * Fix bug in backend to make sure that agent graph returns dict graph state. Update frontend so that agent API call send dict. * Call tool node should return dict. * Update API call for updating tool messages. * Restore functionality for sending feedback to LangSmith. * Remove Self-Learning assistant. * Small updates. --------- Co-authored-by: Harrison Chase --- backend/app/api/__init__.py | 6 +- backend/app/api/runs.py | 6 +- backend/app/api/threads.py | 24 ++++++ backend/app/graphs/new_agent.py | 78 +++++++++++++++---- backend/app/graphs/new_chatbot.py | 4 +- backend/app/graphs/new_rag.py | 6 +- backend/app/message_types.py | 2 +- backend/app/storage.py | 10 ++- backend/poetry.lock | 22 +++--- backend/pyproject.toml | 6 +- .../unit_tests/agent_executor/test_upload.py | 3 +- frontend/src/App.tsx | 29 +++---- frontend/src/components/Chat.tsx | 1 + frontend/src/components/LangSmithActions.tsx | 19 ++++- frontend/src/components/Message.tsx | 3 +- frontend/src/hooks/useMessageEditing.ts | 2 +- 16 files changed, 160 insertions(+), 61 deletions(-) diff --git a/backend/app/api/__init__.py b/backend/app/api/__init__.py index 93aef80d9..ba1b3b629 100644 --- a/backend/app/api/__init__.py +++ b/backend/app/api/__init__.py @@ -1,12 +1,12 @@ import orjson -from fastapi import APIRouter, Form, UploadFile, HTTPException +from fastapi import APIRouter, Form, HTTPException, UploadFile import app.storage as storage -from app.auth.handlers import AuthedUser -from app.upload import convert_ingestion_input_to_blob, ingest_runnable from app.api.assistants import router as assistants_router from app.api.runs import router as runs_router from app.api.threads import router as threads_router +from app.auth.handlers import AuthedUser +from app.upload import convert_ingestion_input_to_blob, ingest_runnable router = APIRouter() diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 643f7c07f..d0a351322 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -3,18 +3,18 @@ from typing import Any, Dict, Optional, Sequence, Union from uuid import UUID -from fastapi.responses import ORJSONResponse import langsmith.client +import orjson from fastapi import APIRouter, HTTPException +from fastapi.responses import ORJSONResponse from langchain_core.runnables import RunnableConfig from langsmith.utils import tracing_is_enabled -import orjson from pydantic import BaseModel, Field from sse_starlette import EventSourceResponse from app.auth.handlers import AuthedUser -from app.storage import get_assistant, get_thread from app.lifespan import get_langserve +from app.storage import get_assistant, get_thread router = APIRouter() diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index e887791ad..3edba78b5 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -29,6 +29,13 @@ class ThreadPostRequest(BaseModel): config: Optional[Dict[str, Any]] = None +class ThreadPatchRequest(BaseModel): + """Payload for patching thread state.""" + + metadata: Dict[str, Any] + config: Optional[Dict[str, Any]] = None + + @router.get("/") async def list_threads(user: AuthedUser) -> List[Thread]: """List all threads for the current user.""" @@ -75,6 +82,23 @@ async def add_thread_state( ) +@router.patch("/{tid}/state") +async def patch_thread_state( + user: AuthedUser, + tid: ThreadID, + payload: ThreadPatchRequest, +): + """Patch state for a thread.""" + thread = await storage.get_thread(user["user_id"], tid) + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + + return await storage.patch_thread_state( + payload.config or {"configurable": {"thread_id": tid}}, + payload.metadata, + ) + + @router.get("/{tid}/history") async def get_thread_history( user: AuthedUser, diff --git a/backend/app/graphs/new_agent.py b/backend/app/graphs/new_agent.py index d6417de4a..3b3ac1748 100644 --- a/backend/app/graphs/new_agent.py +++ b/backend/app/graphs/new_agent.py @@ -1,18 +1,19 @@ from enum import Enum -from typing import cast +from typing import Annotated, TypedDict, cast from langchain_core.messages import ( AIMessage, + AnyMessage, FunctionMessage, HumanMessage, SystemMessage, ToolMessage, ) -from langgraph.graph import END -from langgraph.graph.message import MessageGraph +from langgraph.graph import END, StateGraph +from langgraph.graph.message import add_messages +from langgraph.managed.few_shot import FewShotExamples from langgraph.prebuilt import ToolExecutor, ToolInvocation -from app.message_types import LiberalToolMessage from app.llms import ( get_anthropic_llm, get_google_llm, @@ -20,7 +21,32 @@ get_ollama_llm, get_openai_llm, ) -from app.tools import RETRIEVAL_DESCRIPTION, AvailableTools, TOOLS, get_retrieval_tool +from app.message_types import LiberalToolMessage +from app.tools import RETRIEVAL_DESCRIPTION, TOOLS, AvailableTools, get_retrieval_tool + + +class BaseState(TypedDict): + messages: Annotated[list[AnyMessage], add_messages] + examples: Annotated[list, FewShotExamples] + + +def _render_message(m): + if isinstance(m, HumanMessage): + return "Human: " + m.content + elif isinstance(m, AIMessage): + _m = "AI: " + m.content + if len(m.tool_calls) > 0: + _m += f" Tools: {m.tool_calls}" + return _m + elif isinstance(m, ToolMessage): + return "Tool Result: ..." + else: + raise ValueError + + +def _render_messages(ms): + m_string = [_render_message(m) for m in ms] + return "\n".join(m_string) class LLMType(str, Enum): @@ -58,7 +84,7 @@ def get_llm( return llm -async def _get_messages(messages, system_message): +async def _get_messages(messages, system_message, examples): msgs = [] for m in messages: if isinstance(m, LiberalToolMessage): @@ -72,6 +98,24 @@ async def _get_messages(messages, system_message): else: msgs.append(m) + if len(examples) > 0: + _examples = "\n\n".join( + [ + f"Example {i}: " + _render_messages(e["messages"]) + for i, e in enumerate(examples) + ] + ) + system_message = ( + system_message + + """ Below are some examples of interactions you had with users. \ +These were good interactions where the final result they got was the desired one. As much as possible, you should learn from these interactions and mimic them in the future. \ +Pay particularly close attention to when tools are called, and what the inputs are.! + +{examples} + +Assist the user as they require!""".format(examples=_examples) + ) + return [SystemMessage(content=system_message)] + msgs @@ -101,7 +145,9 @@ def get_tools( return _tools -async def agent(messages, config): +async def agent(state, config): + messages = state["messages"] + examples = state.get("examples", []) _config = config["configurable"] system_message = _config.get("type==agent/system_message", DEFAULT_SYSTEM_MESSAGE) llm = get_llm(_config.get("type==agent/agent_type", LLMType.GPT_35_TURBO)) @@ -113,13 +159,16 @@ async def agent(messages, config): ) if tools: llm = llm.bind_tools(tools) - messages = await _get_messages(messages, system_message) + messages = await _get_messages(messages, system_message, examples) response = llm.invoke(messages) - return response + + # graph state is a dict, so return type must be dict + return {"messages": [response]} # Define the function that determines whether to continue or not -def should_continue(messages): +def should_continue(state): + messages = state["messages"] last_message = messages[-1] # If there is no function call, then we finish if not last_message.tool_calls: @@ -130,7 +179,8 @@ def should_continue(messages): # Define the function to execute tools -async def call_tool(messages, config): +async def call_tool(state, config): + messages = state["messages"] _config = config["configurable"] tools = get_tools( _config.get("type==agent/tools"), @@ -163,10 +213,12 @@ async def call_tool(messages, config): ) for tool_call, response in zip(last_message.tool_calls, responses) ] - return tool_messages + + # graph state is a dict, so return type must be dict + return {"messages": tool_messages} -workflow = MessageGraph() +workflow = StateGraph(BaseState) # Define the two nodes we will cycle between workflow.add_node("agent", agent) diff --git a/backend/app/graphs/new_chatbot.py b/backend/app/graphs/new_chatbot.py index 3c9c21d78..d83844ae6 100644 --- a/backend/app/graphs/new_chatbot.py +++ b/backend/app/graphs/new_chatbot.py @@ -1,8 +1,8 @@ from enum import Enum -from typing import TypedDict, Annotated, Sequence +from typing import Annotated, Sequence, TypedDict from langchain_core.messages import BaseMessage, SystemMessage -from langgraph.graph import StateGraph, END +from langgraph.graph import END, StateGraph from langgraph.graph.message import add_messages from app.llms import ( diff --git a/backend/app/graphs/new_rag.py b/backend/app/graphs/new_rag.py index 2606f97bc..d7a50c1b6 100644 --- a/backend/app/graphs/new_rag.py +++ b/backend/app/graphs/new_rag.py @@ -7,11 +7,9 @@ from langchain_core.prompts import PromptTemplate from langchain_core.runnables import chain from langgraph.graph import END -from langgraph.graph.state import StateGraph from langgraph.graph.message import add_messages +from langgraph.graph.state import StateGraph -from app.message_types import LiberalToolMessage -from app.tools import get_retriever from app.llms import ( get_anthropic_llm, get_google_llm, @@ -19,6 +17,8 @@ get_ollama_llm, get_openai_llm, ) +from app.message_types import LiberalToolMessage +from app.tools import get_retriever class LLMType(str, Enum): diff --git a/backend/app/message_types.py b/backend/app/message_types.py index 96def015a..72ab74125 100644 --- a/backend/app/message_types.py +++ b/backend/app/message_types.py @@ -1,7 +1,7 @@ from typing import Any -from langchain_core.messages import FunctionMessage, ToolMessage from langchain_core.load.load import ALL_SERIALIZABLE_MAPPINGS +from langchain_core.messages import FunctionMessage, ToolMessage class LiberalFunctionMessage(FunctionMessage): diff --git a/backend/app/storage.py b/backend/app/storage.py index a8403c64b..8d08d7084 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -1,4 +1,4 @@ -from typing import Any, List, Optional, Sequence, Union +from typing import Any, Dict, List, Optional, Sequence, Union from langchain_core.messages import AnyMessage from langchain_core.runnables import RunnableConfig @@ -145,6 +145,14 @@ async def update_thread_state( return await get_langserve().threads.update_state(config, values) +async def patch_thread_state( + config: RunnableConfig, + metadata: Dict[str, Any], +): + """Patch state of a thread.""" + return await get_langserve().threads.patch_state(config, metadata) + + async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assistant): """Get the history of a thread.""" return await get_langserve().threads.get_history(thread_id) diff --git a/backend/poetry.lock b/backend/poetry.lock index 2f4151391..e4a8b9658 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1879,27 +1879,27 @@ six = "*" [[package]] name = "langgraph" -version = "0.0.41" +version = "0.0.49" description = "langgraph" optional = false python-versions = "<4.0,>=3.9.0" files = [ - {file = "langgraph-0.0.41-py3-none-any.whl", hash = "sha256:f28381263bee2ddffd21c5855cee6f710953a03b8281205b9fe0914136c8afd8"}, - {file = "langgraph-0.0.41.tar.gz", hash = "sha256:04430712a851524d05c5b1d834b385ca2f5bc85b02d78fee98413b85b745a4b4"}, + {file = "langgraph-0.0.49-py3-none-any.whl", hash = "sha256:229f29959d44c6bc4cec9f42ba68766cadedd25f0b3052afb2a43cbfac4f8d4d"}, + {file = "langgraph-0.0.49.tar.gz", hash = "sha256:fa10cf938b1fbc270e2f597d79fbb7ab196f9c0a56d6a96a479e65879729d70e"}, ] [package.dependencies] -langchain-core = ">=0.1.46,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" [[package]] name = "langgraph-cli" -version = "0.1.11" +version = "0.1.14" description = "" optional = false python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_cli-0.1.11-py3-none-any.whl", hash = "sha256:36999b3025fe85002d4cd50f659d488bfe54c55415ee4f2db90ea0378ff23d18"}, - {file = "langgraph_cli-0.1.11.tar.gz", hash = "sha256:33418d20b8739028e8dc29856ac789a44caf9715c42f9259b5f99b3f85b62c3e"}, + {file = "langgraph_cli-0.1.14-py3-none-any.whl", hash = "sha256:58b464d5edd04010ff3a19a63e19ace01aad66ae3f1a16c5dea2399031e99297"}, + {file = "langgraph_cli-0.1.14.tar.gz", hash = "sha256:ee2622e1a2c73eb3a8175378eeaff70cfe353eeb6f531732b177b8975c8c385a"}, ] [package.dependencies] @@ -1907,13 +1907,13 @@ click = ">=8.1.7,<9.0.0" [[package]] name = "langgraph-sdk" -version = "0.1.6" +version = "0.1.9" description = "" optional = false python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_sdk-0.1.6-py3-none-any.whl", hash = "sha256:2a6c9d723d58e0cb980be3f828aaa3b3453330669c34861d5e00813689f6d645"}, - {file = "langgraph_sdk-0.1.6.tar.gz", hash = "sha256:e39388edd8aad13fde762faf180212a4f082bf00fffd57bd84d617f5fa5e88e6"}, + {file = "langgraph_sdk-0.1.9-py3-none-any.whl", hash = "sha256:ffc4d857bbef7cc5348deddcb1c2e7f71a72ed156f19d049ea3e5a1aa2307dbe"}, + {file = "langgraph_sdk-0.1.9.tar.gz", hash = "sha256:129f2ecfc1f24d325ca819050e7aa8bc78eb16e1fc3fc16c77b05f5101e300e5"}, ] [package.dependencies] @@ -4254,4 +4254,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "90ba03238d321363d2b21633295dac22e7e005a9b18bc6c3f627df400036b87b" +content-hash = "ad217da4038643c9f78705676e889560ebfcbbcf6a46314ed495d1f5653908c4" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 1c2ebabc5..4d086becf 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -19,7 +19,7 @@ orjson = "^3.9.10" python-multipart = "^0.0.6" tiktoken = "^0.5.1" langchain = ">=0.0.338" -langgraph = "*" +langgraph = "^0.0.49" pydantic = "<2.0" langchain-openai = "^0.1.3" beautifulsoup4 = "^4.12.3" @@ -44,8 +44,8 @@ pyjwt = {extras = ["crypto"], version = "^2.8.0"} langchain-anthropic = "^0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" -langgraph-sdk = "^0.1.6" -langgraph-cli = "^0.1.11" +langgraph-sdk = "^0.1.9" +langgraph-cli = "^0.1.14" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" 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/frontend/src/App.tsx b/frontend/src/App.tsx index 026b0f21c..2a099994d 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -55,24 +55,19 @@ function App(props: { edit?: boolean }) { let input: Message[] | Record | null = null; if (message) { - // Set the input to an array of messages. This is the default input + // Set the input to an dict of messages. This is the default input // format for all assistant types. - input = [ - { - content: message.message, - additional_kwargs: {}, - role: "human", - example: false, - id: `human-${Math.random()}`, - }, - ]; - - if (assistantType === "chat_retrieval" || assistantType === "chatbot") { - // The RAG assistant type requires an object with a `messages` field. - input = { - messages: input, - }; - } + input = { + messages: [ + { + content: message.message, + additional_kwargs: {}, + role: "human", + example: false, + id: `human-${Math.random()}`, + }, + ], + }; } await startStream(input, thread_id, config); diff --git a/frontend/src/components/Chat.tsx b/frontend/src/components/Chat.tsx index 3b52f47f8..9d3581882 100644 --- a/frontend/src/components/Chat.tsx +++ b/frontend/src/components/Chat.tsx @@ -111,6 +111,7 @@ export function Chat(props: ChatProps) { } startEditing={() => recordEdits(msg)} alwaysShowControls={i === messages.length - 1} + threadId={currentChat.thread_id} /> ), )} diff --git a/frontend/src/components/LangSmithActions.tsx b/frontend/src/components/LangSmithActions.tsx index 500ac0a85..f0947f7d4 100644 --- a/frontend/src/components/LangSmithActions.tsx +++ b/frontend/src/components/LangSmithActions.tsx @@ -6,13 +6,16 @@ import { } from "@heroicons/react/24/outline"; import { useState } from "react"; -export function LangSmithActions(props: { runId: string }) { +export function LangSmithActions(props: { runId: string; threadId: string }) { const [state, setState] = useState<{ score: number; inflight: boolean; } | null>(null); const sendFeedback = async (score: number) => { setState({ score, inflight: true }); + + // send feedback to LangSmith + // this is a no-op if tracing is disabled in the backend await fetch(`/runs/feedback`, { method: "POST", body: JSON.stringify({ @@ -24,6 +27,20 @@ export function LangSmithActions(props: { runId: string }) { "Content-Type": "application/json", }, }); + + // score thread, thread will be used as few shot example + // few shot score must be 1 or 0 + const fewShotScore = score > 0 ? 1 : 0; + await fetch(`/api/threads/${props.threadId}/state`, { + method: "PATCH", + body: JSON.stringify({ + metadata: { score: fewShotScore }, + }), + headers: { + "Content-Type": "application/json", + }, + }); + setState({ score, inflight: false }); }; return ( diff --git a/frontend/src/components/Message.tsx b/frontend/src/components/Message.tsx index d091d3520..50e249e74 100644 --- a/frontend/src/components/Message.tsx +++ b/frontend/src/components/Message.tsx @@ -66,6 +66,7 @@ export const MessageViewer = memo(function ( runId?: string; startEditing?: () => void; alwaysShowControls?: boolean; + threadId: string; }, ) { const [open, setOpen] = useState(false); @@ -116,7 +117,7 @@ export const MessageViewer = memo(function ( {props.runId && (
- +
)} diff --git a/frontend/src/hooks/useMessageEditing.ts b/frontend/src/hooks/useMessageEditing.ts index 457bceeef..392c42f4c 100644 --- a/frontend/src/hooks/useMessageEditing.ts +++ b/frontend/src/hooks/useMessageEditing.ts @@ -16,7 +16,7 @@ export function useMessageEditing( fetch(`/api/threads/${threadId}/state`, { method: "POST", headers: { "Content-Type": "application/json" }, - body: JSON.stringify({ values: Object.values(editing) }), + body: JSON.stringify({ values: { messages: Object.values(editing) } }), }) .then((res) => { if (res.ok) { From 8a5a9b0dd89d63e05cf4326b4a7858eeca550131 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 16 May 2024 17:41:36 -0700 Subject: [PATCH 26/50] fix frontend build error --- frontend/src/App.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index 2a099994d..e1f3dc1e1 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -32,7 +32,7 @@ function App(props: { edit?: boolean }) { async ( message: MessageWithFiles | null, thread_id: string, - assistantType: string, + _assistantType: string, config?: Record, ) => { const files = message?.files || []; From 6fc7d6e15d35ced97bbac83108b3b582f760204e Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 16 May 2024 17:41:42 -0700 Subject: [PATCH 27/50] Improve deploy script --- deploy.sh | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/deploy.sh b/deploy.sh index 547ae6711..0ce24ff87 100644 --- a/deploy.sh +++ b/deploy.sh @@ -1,7 +1,9 @@ -langgraph build -t langchain/opengpts-langgraph:0.1.5 --platform linux/amd64,linux/arm64 -docker push langchain/opengpts-langgraph:0.1.5 -gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.5 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +set -euxo pipefail -docker build -t langchain/opengpts-backend:0.1.1 --platform linux/amd64,linux/arm64 . -docker push langchain/opengpts-backend:0.1.1 -gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.1 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +langgraph build -t langchain/opengpts-langgraph:0.1.7 --platform linux/amd64,linux/arm64 +docker push langchain/opengpts-langgraph:0.1.7 +gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.7 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml + +docker build -t langchain/opengpts-backend:0.1.7 --platform linux/amd64,linux/arm64 . +docker push langchain/opengpts-backend:0.1.7 +gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.7 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml From 5e73b01ca7623b0f9927d394b2c818fe961fdd7f Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 17 May 2024 16:41:20 -0700 Subject: [PATCH 28/50] Update deps --- backend/.gitignore | 1 + backend/poetry.lock | 210 ++++++++++++++++++++--------------------- backend/pyproject.toml | 23 +++-- 3 files changed, 116 insertions(+), 118 deletions(-) diff --git a/backend/.gitignore b/backend/.gitignore index 6f04bb837..11e003156 100644 --- a/backend/.gitignore +++ b/backend/.gitignore @@ -1,3 +1,4 @@ .envrc ui .venv +.ruff_cache diff --git a/backend/poetry.lock b/backend/poetry.lock index e4a8b9658..02f10c6ca 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -112,13 +112,13 @@ frozenlist = ">=1.1.0" [[package]] name = "anthropic" -version = "0.25.2" +version = "0.26.0" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.25.2-py3-none-any.whl", hash = "sha256:f854030b11052f7cbb5257be6134c8a8f25aa538f73013260e12238ff94234a3"}, - {file = "anthropic-0.25.2.tar.gz", hash = "sha256:cdf30ac234e3c0b305307399a6bb5dba45881adcb188d88fdf59802f90f15d6d"}, + {file = "anthropic-0.26.0-py3-none-any.whl", hash = "sha256:38fc415561d71dcf263b89da0cc6ecec498379b56256fc4242e9128bc707b283"}, + {file = "anthropic-0.26.0.tar.gz", hash = "sha256:6aaffeb05d515cf9788eef57150a5f827f3786883628ccac71dbe5671ab6f44e"}, ] [package.dependencies] @@ -1690,24 +1690,22 @@ requests = ">=2" [[package]] name = "langchain" -version = "0.1.10" +version = "0.2.0" description = "Building applications with LLMs through composability" optional = false -python-versions = ">=3.8.1,<4.0" +python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.1.10-py3-none-any.whl", hash = "sha256:dcc1c0968b8d946a812155584ecbbeda690c930c3ee27bb5ecc113d954f6cf1a"}, - {file = "langchain-0.1.10.tar.gz", hash = "sha256:17951bcd6d74adc74aa081f260ef5514c449488815314420b7e0f8349f15d932"}, + {file = "langchain-0.2.0-py3-none-any.whl", hash = "sha256:25c43d97daaf8539c10c77d028f88782f48649e6a01e77938014a1fbaf68bb62"}, + {file = "langchain-0.2.0.tar.gz", hash = "sha256:3d980e92d8635bb7fa45751ee159c56643d1f0e56221e378b45d81cf6dc7d453"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} dataclasses-json = ">=0.5.7,<0.7" -jsonpatch = ">=1.33,<2.0" -langchain-community = ">=0.0.25,<0.1" -langchain-core = ">=0.1.28,<0.2" -langchain-text-splitters = ">=0.0.1,<0.1" -langsmith = ">=0.1.0,<0.2.0" +langchain-core = ">=0.2.0,<0.3.0" +langchain-text-splitters = ">=0.2.0,<0.3.0" +langsmith = ">=0.1.17,<0.2.0" numpy = ">=1,<2" pydantic = ">=1,<3" PyYAML = ">=5.3" @@ -1719,47 +1717,48 @@ tenacity = ">=8.1.0,<9.0.0" azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"] clarifai = ["clarifai (>=9.1.0)"] cli = ["typer (>=0.9.0,<0.10.0)"] -cohere = ["cohere (>=4,<5)"] +cohere = ["cohere (>=4,<6)"] docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"] embeddings = ["sentence-transformers (>=2,<3)"] -extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text 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6e2cfac8942ff424d9b52f93519f2128c8e13450 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 17 May 2024 16:41:36 -0700 Subject: [PATCH 29/50] Make startup a little faster --- compose.override.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/compose.override.yml b/compose.override.yml index b4071df86..60d021616 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -29,8 +29,6 @@ services: ports: - "8100:8000" # Backend is accessible on localhost:8100 depends_on: - langgraph-api: - condition: service_healthy postgres-setup: condition: service_completed_successfully env_file: From 9f7294a846973c776dd2a86f48ed76754c0bf101 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 17 May 2024 16:41:43 -0700 Subject: [PATCH 30/50] Fix streaming --- backend/app/graphs/new_agent.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/backend/app/graphs/new_agent.py b/backend/app/graphs/new_agent.py index 3b3ac1748..67756246d 100644 --- a/backend/app/graphs/new_agent.py +++ b/backend/app/graphs/new_agent.py @@ -84,7 +84,7 @@ def get_llm( return llm -async def _get_messages(messages, system_message, examples): +def _get_messages(messages, system_message, examples): msgs = [] for m in messages: if isinstance(m, LiberalToolMessage): @@ -159,8 +159,8 @@ async def agent(state, config): ) if tools: llm = llm.bind_tools(tools) - messages = await _get_messages(messages, system_message, examples) - response = llm.invoke(messages) + messages = _get_messages(messages, system_message, examples) + response = await llm.ainvoke(messages) # graph state is a dict, so return type must be dict return {"messages": [response]} From 1b2e2a434cbd02971d1147022581dc0b32f0ef5d Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 17 May 2024 16:54:56 -0700 Subject: [PATCH 31/50] Bump --- deploy.sh | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/deploy.sh b/deploy.sh index 0ce24ff87..b97024228 100644 --- a/deploy.sh +++ b/deploy.sh @@ -1,9 +1,9 @@ set -euxo pipefail -langgraph build -t langchain/opengpts-langgraph:0.1.7 --platform linux/amd64,linux/arm64 -docker push langchain/opengpts-langgraph:0.1.7 -gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.7 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +langgraph build -t langchain/opengpts-langgraph:0.1.8 --platform linux/amd64,linux/arm64 +docker push langchain/opengpts-langgraph:0.1.8 +gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.8 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml -docker build -t langchain/opengpts-backend:0.1.7 --platform linux/amd64,linux/arm64 . -docker push langchain/opengpts-backend:0.1.7 -gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.7 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +docker build -t langchain/opengpts-backend:0.1.8 --platform linux/amd64,linux/arm64 . +docker push langchain/opengpts-backend:0.1.8 +gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.8 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml From 6051a792c4dc035ac51a4b9c20b0a8826c2687b4 Mon Sep 17 00:00:00 2001 From: Andrew Nguonly Date: Tue, 21 May 2024 14:34:47 -0700 Subject: [PATCH 32/50] Update langgraph and langgraph-cli deps. (#343) --- backend/app/graphs/new_agent.py | 14 +- backend/app/storage.py | 5 +- backend/poetry.lock | 3133 +++++++++++++++++-------------- backend/pyproject.toml | 4 +- 4 files changed, 1692 insertions(+), 1464 deletions(-) diff --git a/backend/app/graphs/new_agent.py b/backend/app/graphs/new_agent.py index 67756246d..899ecc7e1 100644 --- a/backend/app/graphs/new_agent.py +++ b/backend/app/graphs/new_agent.py @@ -1,5 +1,5 @@ from enum import Enum -from typing import Annotated, TypedDict, cast +from typing import Annotated, Any, Dict, TypedDict, cast from langchain_core.messages import ( AIMessage, @@ -9,6 +9,7 @@ SystemMessage, ToolMessage, ) +from langchain_core.runnables import RunnableConfig from langgraph.graph import END, StateGraph from langgraph.graph.message import add_messages from langgraph.managed.few_shot import FewShotExamples @@ -25,9 +26,18 @@ from app.tools import RETRIEVAL_DESCRIPTION, TOOLS, AvailableTools, get_retrieval_tool +def filter_by_assistant_id(config: RunnableConfig) -> Dict[str, Any]: + if "assistant_id" in config["configurable"]: + return {"assistant_id": config["configurable"]["assistant_id"]} + else: + return {} + + class BaseState(TypedDict): messages: Annotated[list[AnyMessage], add_messages] - examples: Annotated[list, FewShotExamples] + examples: Annotated[ + list, FewShotExamples.configure(metadata_filter=filter_by_assistant_id) + ] def _render_message(m): diff --git a/backend/app/storage.py b/backend/app/storage.py index 8d08d7084..ab91e9db3 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -142,7 +142,10 @@ async def update_thread_state( assistant: Assistant, ): """Add state to a thread.""" - return await get_langserve().threads.update_state(config, values) + # thread_id (str) must be passed to update_state() instead of config + # (dict) so that default configs are applied in LangGraph API. + thread_id = config["configurable"]["thread_id"] + return await get_langserve().threads.update_state(thread_id, values) async def patch_thread_state( diff --git a/backend/poetry.lock b/backend/poetry.lock index 02f10c6ca..39a5ae884 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -2,87 +2,87 @@ [[package]] name = "aiohttp" -version = "3.9.1" +version = "3.9.5" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e1f80197f8b0b846a8d5cf7b7ec6084493950d0882cc5537fb7b96a69e3c8590"}, - {file = "aiohttp-3.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72444d17777865734aa1a4d167794c34b63e5883abb90356a0364a28904e6c0"}, - {file = "aiohttp-3.9.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9b05d5cbe9dafcdc733262c3a99ccf63d2f7ce02543620d2bd8db4d4f7a22f83"}, - {file = "aiohttp-3.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c4fa235d534b3547184831c624c0b7c1e262cd1de847d95085ec94c16fddcd5"}, - {file = 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">=0.2.0" -langgraph = ">=0.0.50" +langgraph = ">=0.0.51" pydantic = "<2.0" langchain-openai = ">=0.1.3" beautifulsoup4 = "^4.12.3" @@ -43,7 +43,7 @@ langchain-anthropic = ">=0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" langgraph-sdk = ">=0.1.9" -langgraph-cli = ">=0.1.18" +langgraph-cli = "^0.1.21" langchain-community = "^0.2.0" [tool.poetry.group.dev.dependencies] From f9a10b21190a261566bbcb94f1747a2bc964b119 Mon Sep 17 00:00:00 2001 From: Andrew Nguonly Date: Tue, 21 May 2024 14:53:00 -0700 Subject: [PATCH 33/50] Update deploy version to 0.1.9. (#344) --- deploy.sh | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/deploy.sh b/deploy.sh index b97024228..6d5cf5abc 100644 --- a/deploy.sh +++ b/deploy.sh @@ -1,9 +1,9 @@ set -euxo pipefail -langgraph build -t langchain/opengpts-langgraph:0.1.8 --platform linux/amd64,linux/arm64 -docker push langchain/opengpts-langgraph:0.1.8 -gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.8 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +langgraph build -t langchain/opengpts-langgraph:0.1.9 --platform linux/amd64,linux/arm64 +docker push langchain/opengpts-langgraph:0.1.9 +gcloud beta run deploy opengpts-demo-langgraph --image langchain/opengpts-langgraph:0.1.9 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml -docker build -t langchain/opengpts-backend:0.1.8 --platform linux/amd64,linux/arm64 . -docker push langchain/opengpts-backend:0.1.8 -gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.8 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml +docker build -t langchain/opengpts-backend:0.1.9 --platform linux/amd64,linux/arm64 . +docker push langchain/opengpts-backend:0.1.9 +gcloud beta run deploy opengpts-demo-backend --image langchain/opengpts-backend:0.1.9 --region us-central1 --project langchain-dev --env-vars-file .env.gcp.yaml From 41c87b67916ff5c7e44b5b6aee26d7bf23ef5bf4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 14:28:39 -0700 Subject: [PATCH 34/50] Update --- Makefile | 2 +- backend/Makefile | 4 - backend/app/api/assistants.py | 8 +- backend/app/api/runs.py | 25 +- backend/app/api/threads.py | 8 +- backend/app/auth/handlers.py | 7 +- backend/app/lifespan.py | 37 +-- backend/app/schema.py | 2 - backend/app/storage.py | 112 ++++--- ...reate_extensions_and_first_tables.down.sql | 3 - ..._create_extensions_and_first_tables.up.sql | 24 -- .../000002_checkpoints_update_schema.down.sql | 5 - .../000002_checkpoints_update_schema.up.sql | 11 - .../migrations/000003_create_user.down.sql | 9 - backend/migrations/000003_create_user.up.sql | 25 -- .../000004_add_metadata_to_thread.down.sql | 2 - .../000004_add_metadata_to_thread.up.sql | 9 - backend/poetry.lock | 111 ++----- backend/pyproject.toml | 10 +- backend/tests/unit_tests/app/test_app.py | 9 +- backend/tests/unit_tests/conftest.py | 69 ----- compose.override.yml | 37 ++- frontend/src/hooks/useChatList.ts | 2 +- frontend/src/hooks/useConfigList.ts | 2 +- frontend/src/hooks/useStreamState.tsx | 1 + tools/redis_to_postgres/Dockerfile | 8 - tools/redis_to_postgres/README.md | 11 - tools/redis_to_postgres/docker-compose.yml | 23 -- tools/redis_to_postgres/migrate_data.py | 282 ------------------ 29 files changed, 152 insertions(+), 706 deletions(-) delete mode 100644 backend/migrations/000001_create_extensions_and_first_tables.down.sql delete mode 100644 backend/migrations/000001_create_extensions_and_first_tables.up.sql delete mode 100644 backend/migrations/000002_checkpoints_update_schema.down.sql delete mode 100644 backend/migrations/000002_checkpoints_update_schema.up.sql delete mode 100644 backend/migrations/000003_create_user.down.sql delete mode 100644 backend/migrations/000003_create_user.up.sql delete mode 100644 backend/migrations/000004_add_metadata_to_thread.down.sql delete mode 100644 backend/migrations/000004_add_metadata_to_thread.up.sql delete mode 100644 tools/redis_to_postgres/Dockerfile delete mode 100644 tools/redis_to_postgres/README.md delete mode 100644 tools/redis_to_postgres/docker-compose.yml delete mode 100644 tools/redis_to_postgres/migrate_data.py diff --git a/Makefile b/Makefile index 83ba0144c..054598af1 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ .PHONY: start start: - cd backend && poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml + cd backend && poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose diff --git a/backend/Makefile b/backend/Makefile index 3f24ce377..58d4dd63f 100644 --- a/backend/Makefile +++ b/backend/Makefile @@ -16,14 +16,10 @@ TEST_FILE ?= tests/unit_tests/ start: poetry run uvicorn app.server:app --reload --port 8100 --log-config log_config.json -migrate: - migrate -database postgres://$(POSTGRES_USER):$(POSTGRES_PASSWORD)@$(POSTGRES_HOST):$(POSTGRES_PORT)/$(POSTGRES_DB)?sslmode=disable -path ./migrations up - test: # We need to update handling of env variables for tests YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder poetry run pytest $(TEST_FILE) - test_watch: # We need to update handling of env variables for tests YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder poetry run ptw . -- $(TEST_FILE) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index b6f5ff0c9..effb6a1ea 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -1,5 +1,4 @@ from typing import Annotated, List -from uuid import uuid4 from fastapi import APIRouter, HTTPException, Path from pydantic import BaseModel, Field @@ -52,23 +51,22 @@ async def create_assistant( payload: AssistantPayload, ) -> Assistant: """Create an assistant.""" - return await storage.put_assistant( + return await storage.create_assistant( user["user_id"], - str(uuid4()), name=payload.name, config=payload.config, public=payload.public, ) -@router.put("/{aid}") +@router.patch("/{aid}") async def upsert_assistant( user: AuthedUser, aid: AssistantID, payload: AssistantPayload, ) -> Assistant: """Create or update an assistant.""" - return await storage.put_assistant( + return await storage.patch_assistant( user["user_id"], aid, name=payload.name, diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index d0a351322..5b3c0ddef 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -1,4 +1,3 @@ -import json import pathlib from typing import Any, Dict, Optional, Sequence, Union from uuid import UUID @@ -13,7 +12,7 @@ from sse_starlette import EventSourceResponse from app.auth.handlers import AuthedUser -from app.lifespan import get_langserve +from app.lifespan import get_api_client from app.storage import get_assistant, get_thread router = APIRouter() @@ -33,7 +32,7 @@ async def create_run(payload: CreateRunPayload, user: AuthedUser): thread = await get_thread(user["user_id"], payload.thread_id) if not thread: raise HTTPException(status_code=404, detail="Thread not found") - return await get_langserve().runs.create( + return await get_api_client().runs.create( payload.thread_id, thread["assistant_id"], input=payload.input, @@ -53,21 +52,27 @@ async def stream_run( assistant = await get_assistant(user["user_id"], thread["assistant_id"]) if not assistant: raise HTTPException(status_code=404, detail="Assistant not found") + interrupt_before = ( + ["action"] + if assistant["config"]["configurable"].get( + "type==agent/interrupt_before_action" + ) + else None + ) return EventSourceResponse( ( - {"event": e.event, "data": json.dumps(e.data)} - async for e in get_langserve().runs.stream( + { + "event": "data" if e.event.startswith("messages") else e.event, + "data": orjson.dumps(e.data).decode(), + } + async for e in get_api_client().runs.stream( payload.thread_id, thread["assistant_id"], input=payload.input, config=payload.config, stream_mode="messages", - interrupt_before=["action"] - if assistant["config"]["configurable"].get( - "type==agent/interrupt_before_action" - ) - else None, + interrupt_before=interrupt_before, ) ) ) diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 3edba78b5..165cf5f87 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -1,5 +1,4 @@ from typing import Annotated, Any, Dict, List, Optional, Sequence, Union -from uuid import uuid4 from fastapi import APIRouter, HTTPException, Path from langchain.schema.messages import AnyMessage @@ -136,22 +135,21 @@ async def create_thread( thread_put_request: ThreadPutRequest, ) -> Thread: """Create a thread.""" - return await storage.put_thread( + return await storage.create_thread( user["user_id"], - str(uuid4()), assistant_id=thread_put_request.assistant_id, name=thread_put_request.name, ) -@router.put("/{tid}") +@router.patch("/{tid}") async def upsert_thread( user: AuthedUser, tid: ThreadID, thread_put_request: ThreadPutRequest, ) -> Thread: """Update a thread.""" - return await storage.put_thread( + return await storage.patch_thread( user["user_id"], tid, assistant_id=thread_put_request.assistant_id, diff --git a/backend/app/auth/handlers.py b/backend/app/auth/handlers.py index 630d45ff5..09356a4b6 100644 --- a/backend/app/auth/handlers.py +++ b/backend/app/auth/handlers.py @@ -7,7 +7,6 @@ from fastapi import Depends, HTTPException, Request from fastapi.security.http import HTTPBearer -import app.storage as storage from app.auth.settings import AuthType, settings from app.schema import User @@ -23,8 +22,7 @@ class NOOPAuth(AuthHandler): async def __call__(self, request: Request) -> User: sub = request.cookies.get("opengpts_user_id") or self._default_sub - user, _ = await storage.get_or_create_user(sub) - return user + return User(user_id=sub, sub=sub) class JWTAuthBase(AuthHandler): @@ -37,8 +35,7 @@ async def __call__(self, request: Request) -> User: except jwt.PyJWTError as e: raise HTTPException(status_code=401, detail=str(e)) - user, _ = await storage.get_or_create_user(payload["sub"]) - return user + return User(user_id=payload["sub"], sub=payload["sub"]) @abstractmethod def decode_token(self, token: str, decode_key: str) -> dict: diff --git a/backend/app/lifespan.py b/backend/app/lifespan.py index ed4bbfc00..27a867345 100644 --- a/backend/app/lifespan.py +++ b/backend/app/lifespan.py @@ -1,42 +1,17 @@ import os from contextlib import asynccontextmanager -import asyncpg -import orjson import structlog from fastapi import FastAPI -from langgraph_sdk.client import LangServeClient, get_client +from langgraph_sdk.client import LangGraphClient, get_client -_pg_pool = None _langserve = None -def get_pg_pool() -> asyncpg.pool.Pool: - return _pg_pool - - -def get_langserve() -> LangServeClient: +def get_api_client() -> LangGraphClient: return _langserve -async def _init_connection(conn) -> None: - await conn.set_type_codec( - "json", - encoder=lambda v: orjson.dumps(v).decode(), - decoder=orjson.loads, - schema="pg_catalog", - ) - await conn.set_type_codec( - "jsonb", - encoder=lambda v: orjson.dumps(v).decode(), - decoder=orjson.loads, - schema="pg_catalog", - ) - await conn.set_type_codec( - "uuid", encoder=lambda v: str(v), decoder=lambda v: v, schema="pg_catalog" - ) - - @asynccontextmanager async def lifespan(app: FastAPI): structlog.configure( @@ -52,15 +27,9 @@ async def lifespan(app: FastAPI): cache_logger_on_first_use=True, ) - global _pg_pool, _langserve + global _langserve - _pg_pool = await asyncpg.create_pool( - os.environ["POSTGRES_URI"], - init=_init_connection, - ) _langserve = get_client(url=os.environ["LANGGRAPH_URL"]) yield - await _pg_pool.close() await _langserve.http.client.aclose() - _pg_pool = None _langserve = None diff --git a/backend/app/schema.py b/backend/app/schema.py index 3ae6e5953..a5c82744b 100644 --- a/backend/app/schema.py +++ b/backend/app/schema.py @@ -9,8 +9,6 @@ class User(TypedDict): """The ID of the user.""" sub: str """The sub of the user (from a JWT token).""" - created_at: datetime - """The time the user was created.""" class Assistant(TypedDict): diff --git a/backend/app/storage.py b/backend/app/storage.py index ab91e9db3..f874aa5f2 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -1,15 +1,16 @@ from typing import Any, Dict, List, Optional, Sequence, Union +from fastapi import HTTPException from langchain_core.messages import AnyMessage from langchain_core.runnables import RunnableConfig -from app.lifespan import get_langserve, get_pg_pool -from app.schema import Assistant, Thread, User +from app.lifespan import get_api_client +from app.schema import Assistant, Thread async def list_assistants(user_id: str) -> List[Assistant]: """List all assistants for the current user.""" - assistants = await get_langserve().assistants.search( + assistants = await get_api_client().assistants.search( metadata={"user_id": user_id}, limit=100 ) return [ @@ -25,7 +26,7 @@ async def list_assistants(user_id: str) -> List[Assistant]: async def get_assistant(user_id: str, assistant_id: str) -> Optional[Assistant]: """Get an assistant by ID.""" - assistant = await get_langserve().assistants.get(assistant_id) + assistant = await get_api_client().assistants.get(assistant_id) if assistant["metadata"].get("user_id") != user_id and not assistant[ "metadata" ].get("public"): @@ -41,7 +42,7 @@ async def get_assistant(user_id: str, assistant_id: str) -> Optional[Assistant]: async def list_public_assistants() -> List[Assistant]: """List all the public assistants.""" - assistants = await get_langserve().assistants.search(metadata={"public": True}) + assistants = await get_api_client().assistants.search(metadata={"public": True}) return [ Assistant( assistant_id=a["assistant_id"], @@ -53,10 +54,10 @@ async def list_public_assistants() -> List[Assistant]: ] -async def put_assistant( - user_id: str, assistant_id: str, *, name: str, config: dict, public: bool = False +async def create_assistant( + user_id: str, *, name: str, config: dict, public: bool = False ) -> Assistant: - """Modify an assistant. + """Create an assistant. Args: user_id: The user ID. @@ -68,8 +69,7 @@ async def put_assistant( Returns: return the assistant model if no exception is raised. """ - assistant = await get_langserve().assistants.upsert( - assistant_id, + assistant = await get_api_client().assistants.create( config["configurable"]["type"], config, metadata={"user_id": user_id, "public": public, "name": name}, @@ -84,19 +84,48 @@ async def put_assistant( ) +async def patch_assistant( + user_id: str, assistant_id: str, *, name: str, config: dict, public: bool = False +) -> Assistant: + """Patch an assistant. + + Args: + user_id: The user ID. + assistant_id: The assistant ID. + name: The assistant name. + config: The assistant config. + public: Whether the assistant is public. + + Returns: + return the assistant model if no exception is raised. + """ + assistant = await get_api_client().assistants.update( + assistant_id, + graph_id=config["configurable"]["type"], + config=config, + metadata={"user_id": user_id, "public": public, "name": name}, + ) + return Assistant( + assistant_id=assistant["assistant_id"], + updated_at=assistant["updated_at"], + config=assistant["config"], + name=name, + public=public, + user_id=user_id, + ) + + async def delete_assistant(user_id: str, assistant_id: str) -> None: """Delete an assistant by ID.""" - async with get_pg_pool().acquire() as conn: - await conn.execute( - "DELETE FROM assistant WHERE assistant_id = $1 AND user_id = $2", - assistant_id, - user_id, - ) + assistant = await get_api_client().assistants.get(assistant_id) + if assistant["metadata"].get("user_id") != user_id: + raise HTTPException(status_code=404, detail="Thread not found") + await get_api_client().assistants.delete(assistant_id) async def list_threads(user_id: str) -> List[Thread]: """List all threads for the current user.""" - threads = await get_langserve().threads.search( + threads = await get_api_client().threads.search( metadata={"user_id": user_id}, limit=100 ) @@ -115,7 +144,7 @@ async def list_threads(user_id: str) -> List[Thread]: async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: """Get a thread by ID.""" - thread = await get_langserve().threads.get(thread_id) + thread = await get_api_client().threads.get(thread_id) if thread["metadata"].get("user_id") != user_id: return None else: @@ -131,7 +160,7 @@ async def get_thread(user_id: str, thread_id: str) -> Optional[Thread]: async def get_thread_state(*, user_id: str, thread_id: str, assistant: Assistant): """Get state for a thread.""" - return await get_langserve().threads.get_state(thread_id) + return await get_api_client().threads.get_state(thread_id) async def update_thread_state( @@ -145,7 +174,7 @@ async def update_thread_state( # thread_id (str) must be passed to update_state() instead of config # (dict) so that default configs are applied in LangGraph API. thread_id = config["configurable"]["thread_id"] - return await get_langserve().threads.update_state(thread_id, values) + return await get_api_client().threads.update_state(thread_id, values) async def patch_thread_state( @@ -153,19 +182,34 @@ async def patch_thread_state( metadata: Dict[str, Any], ): """Patch state of a thread.""" - return await get_langserve().threads.patch_state(config, metadata) + return await get_api_client().threads.patch_state(config, metadata) async def get_thread_history(*, user_id: str, thread_id: str, assistant: Assistant): """Get the history of a thread.""" - return await get_langserve().threads.get_history(thread_id) + return await get_api_client().threads.get_history(thread_id) -async def put_thread( +async def create_thread(user_id: str, *, assistant_id: str, name: str) -> Thread: + """Modify a thread.""" + thread = await get_api_client().threads.create( + metadata={"user_id": user_id, "assistant_id": assistant_id, "name": name}, + ) + return Thread( + thread_id=thread["thread_id"], + user_id=thread["metadata"].pop("user_id"), + assistant_id=thread["metadata"].pop("assistant_id"), + name=thread["metadata"].pop("name"), + updated_at=thread["updated_at"], + metadata=thread["metadata"], + ) + + +async def patch_thread( user_id: str, thread_id: str, *, assistant_id: str, name: str ) -> Thread: """Modify a thread.""" - thread = await get_langserve().threads.upsert( + thread = await get_api_client().threads.update( thread_id, metadata={"user_id": user_id, "assistant_id": assistant_id, "name": name}, ) @@ -181,19 +225,7 @@ async def put_thread( async def delete_thread(user_id: str, thread_id: str): """Delete a thread by ID.""" - await get_langserve().threads.delete(thread_id) - - -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 - if user := await conn.fetchrow( - 'INSERT INTO "user" (sub) VALUES ($1) ON CONFLICT (sub) DO NOTHING RETURNING *', - sub, - ): - return user, True - if user := await conn.fetchrow('SELECT * FROM "user" WHERE sub = $1', sub): - return user, False - raise RuntimeError("User creation failed.") + thread = await get_api_client().threads.get(thread_id) + if thread["metadata"].get("user_id") != user_id: + raise HTTPException(status_code=404, detail="Thread not found") + await get_api_client().threads.delete(thread_id) diff --git a/backend/migrations/000001_create_extensions_and_first_tables.down.sql b/backend/migrations/000001_create_extensions_and_first_tables.down.sql deleted file mode 100644 index 08c8d5d51..000000000 --- a/backend/migrations/000001_create_extensions_and_first_tables.down.sql +++ /dev/null @@ -1,3 +0,0 @@ -DROP TABLE IF EXISTS thread; -DROP TABLE IF EXISTS assistant; -DROP TABLE IF EXISTS checkpoints; diff --git a/backend/migrations/000001_create_extensions_and_first_tables.up.sql b/backend/migrations/000001_create_extensions_and_first_tables.up.sql deleted file mode 100644 index cb395a744..000000000 --- a/backend/migrations/000001_create_extensions_and_first_tables.up.sql +++ /dev/null @@ -1,24 +0,0 @@ -CREATE EXTENSION IF NOT EXISTS vector; -CREATE EXTENSION IF NOT EXISTS "uuid-ossp"; - -CREATE TABLE IF NOT EXISTS assistant ( - assistant_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), - user_id VARCHAR(255) NOT NULL, - name VARCHAR(255) NOT NULL, - config JSON NOT NULL, - updated_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC'), - public BOOLEAN NOT NULL -); - -CREATE TABLE IF NOT EXISTS thread ( - thread_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), - assistant_id UUID REFERENCES assistant(assistant_id) ON DELETE SET NULL, - user_id VARCHAR(255) NOT NULL, - name VARCHAR(255) NOT NULL, - updated_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC') -); - -CREATE TABLE IF NOT EXISTS checkpoints ( - thread_id TEXT PRIMARY KEY, - checkpoint BYTEA -); \ No newline at end of file diff --git a/backend/migrations/000002_checkpoints_update_schema.down.sql b/backend/migrations/000002_checkpoints_update_schema.down.sql deleted file mode 100644 index c8a249eb4..000000000 --- a/backend/migrations/000002_checkpoints_update_schema.down.sql +++ /dev/null @@ -1,5 +0,0 @@ -ALTER TABLE checkpoints - DROP CONSTRAINT IF EXISTS checkpoints_pkey, - ADD PRIMARY KEY (thread_id), - DROP COLUMN IF EXISTS thread_ts, - DROP COLUMN IF EXISTS parent_ts; diff --git a/backend/migrations/000002_checkpoints_update_schema.up.sql b/backend/migrations/000002_checkpoints_update_schema.up.sql deleted file mode 100644 index 9ddd077f2..000000000 --- a/backend/migrations/000002_checkpoints_update_schema.up.sql +++ /dev/null @@ -1,11 +0,0 @@ -ALTER TABLE checkpoints - ADD COLUMN IF NOT EXISTS thread_ts TIMESTAMPTZ, - ADD COLUMN IF NOT EXISTS parent_ts TIMESTAMPTZ; - -UPDATE checkpoints - SET thread_ts = CURRENT_TIMESTAMP AT TIME ZONE 'UTC' -WHERE thread_ts IS NULL; - -ALTER TABLE checkpoints - DROP CONSTRAINT IF EXISTS checkpoints_pkey, - ADD PRIMARY KEY (thread_id, thread_ts) diff --git a/backend/migrations/000003_create_user.down.sql b/backend/migrations/000003_create_user.down.sql deleted file mode 100644 index 66c5acadc..000000000 --- a/backend/migrations/000003_create_user.down.sql +++ /dev/null @@ -1,9 +0,0 @@ -ALTER TABLE assistant - DROP CONSTRAINT fk_assistant_user_id, - ALTER COLUMN user_id TYPE VARCHAR USING (user_id::text); - -ALTER TABLE thread - DROP CONSTRAINT fk_thread_user_id, - ALTER COLUMN user_id TYPE VARCHAR USING (user_id::text); - -DROP TABLE IF EXISTS "user"; \ No newline at end of file diff --git a/backend/migrations/000003_create_user.up.sql b/backend/migrations/000003_create_user.up.sql deleted file mode 100644 index bf0ae7bc6..000000000 --- a/backend/migrations/000003_create_user.up.sql +++ /dev/null @@ -1,25 +0,0 @@ -CREATE TABLE IF NOT EXISTS "user" ( - user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), - sub VARCHAR(255) UNIQUE NOT NULL, - created_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC') -); - -INSERT INTO "user" (user_id, sub) -SELECT DISTINCT user_id::uuid, user_id -FROM assistant -WHERE user_id IS NOT NULL -ON CONFLICT (user_id) DO NOTHING; - -INSERT INTO "user" (user_id, sub) -SELECT DISTINCT user_id::uuid, user_id -FROM thread -WHERE user_id IS NOT NULL -ON CONFLICT (user_id) DO NOTHING; - -ALTER TABLE assistant - ALTER COLUMN user_id TYPE UUID USING (user_id::UUID), - ADD CONSTRAINT fk_assistant_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); - -ALTER TABLE thread - ALTER COLUMN user_id TYPE UUID USING (user_id::UUID), - ADD CONSTRAINT fk_thread_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); diff --git a/backend/migrations/000004_add_metadata_to_thread.down.sql b/backend/migrations/000004_add_metadata_to_thread.down.sql deleted file mode 100644 index 106fd0ba9..000000000 --- a/backend/migrations/000004_add_metadata_to_thread.down.sql +++ /dev/null @@ -1,2 +0,0 @@ -ALTER TABLE thread -DROP COLUMN metadata; \ No newline at end of file diff --git a/backend/migrations/000004_add_metadata_to_thread.up.sql b/backend/migrations/000004_add_metadata_to_thread.up.sql deleted file mode 100644 index d0394582d..000000000 --- a/backend/migrations/000004_add_metadata_to_thread.up.sql +++ /dev/null @@ -1,9 +0,0 @@ -ALTER TABLE thread -ADD COLUMN metadata JSONB; - -UPDATE thread -SET metadata = json_build_object( - 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from tests.unit_tests.app.helpers import get_client @@ -14,14 +12,11 @@ def _project(d: dict, *, exclude_keys: Optional[Sequence[str]]) -> dict: return {k: v for k, v in d.items() if k not in _exclude} -async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: +async def test_list_and_create_assistants() -> None: """Test list and create assistants.""" headers = {"Cookie": "opengpts_user_id=1"} aid = str(uuid4()) - async with pool.acquire() as conn: - assert len(await conn.fetch("SELECT * FROM assistant;")) == 0 - async with get_client() as client: response = await client.get( "/assistants/", @@ -44,8 +39,6 @@ async def test_list_and_create_assistants(pool: asyncpg.pool.Pool) -> None: "name": "bobby", "public": False, } - async with pool.acquire() as conn: - assert len(await conn.fetch("SELECT * FROM assistant;")) == 1 response = await client.get("/assistants/", headers=headers) assert [ diff --git a/backend/tests/unit_tests/conftest.py b/backend/tests/unit_tests/conftest.py index 4d21da0dd..4ee8ccfbf 100644 --- a/backend/tests/unit_tests/conftest.py +++ b/backend/tests/unit_tests/conftest.py @@ -1,85 +1,16 @@ import asyncio import os -import subprocess -import asyncpg import pytest from app.auth.settings import AuthType from app.auth.settings import settings as auth_settings -from app.lifespan import get_pg_pool, lifespan -from app.server import app auth_settings.auth_type = AuthType.NOOP # Temporary handling of environment variables for testing os.environ["OPENAI_API_KEY"] = "test" -TEST_DB = "test" -assert os.environ["POSTGRES_DB"] != TEST_DB, "Test and main database conflict." -os.environ["POSTGRES_DB"] = TEST_DB - - -async def _get_conn() -> asyncpg.Connection: - return await asyncpg.connect( - user=os.environ["POSTGRES_USER"], - password=os.environ["POSTGRES_PASSWORD"], - host=os.environ["POSTGRES_HOST"], - port=os.environ["POSTGRES_PORT"], - database="postgres", - ) - - -async def _create_test_db() -> None: - """Check if the test database exists and create it if it doesn't.""" - conn = await _get_conn() - exists = await conn.fetchval("SELECT 1 FROM pg_database WHERE datname=$1", TEST_DB) - if not exists: - await conn.execute(f'CREATE DATABASE "{TEST_DB}"') - await conn.close() - - -async def _drop_test_db() -> None: - """Check if the test database exists and if so, drop it.""" - conn = await _get_conn() - exists = await conn.fetchval("SELECT 1 FROM pg_database WHERE datname=$1", TEST_DB) - if exists: - await conn.execute(f'DROP DATABASE "{TEST_DB}" WITH (FORCE)') - await conn.close() - - -def _migrate_test_db() -> None: - subprocess.run(["make", "migrate"], check=True) - - -@pytest.fixture(scope="session") -async def pool(): - await _drop_test_db() # In case previous test session was abruptly terminated - await _create_test_db() - _migrate_test_db() - async with lifespan(app): - yield get_pg_pool() - await _drop_test_db() - - -@pytest.fixture(scope="function", autouse=True) -async def clear_test_db(pool): - """Truncate all tables before each test.""" - async with pool.acquire() as conn: - query = """ - DO - $$ - DECLARE - r RECORD; - BEGIN - FOR r IN (SELECT tablename FROM pg_tables WHERE schemaname = 'public') LOOP - EXECUTE 'TRUNCATE TABLE ' || quote_ident(r.tablename) || ' CASCADE;'; - END LOOP; - END - $$; - """ - await conn.execute(query) - @pytest.fixture(scope="session") def event_loop(request): diff --git a/compose.override.yml b/compose.override.yml index 60d021616..9e22b1cde 100644 --- a/compose.override.yml +++ b/compose.override.yml @@ -1,26 +1,26 @@ +volumes: + langgraph-data: + driver: local services: langgraph-api: environment: PGVECTOR_URI: "postgresql+psycopg2://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" langgraph-postgres: image: pgvector/pgvector:pg16 - postgres-setup: - image: migrate/migrate - depends_on: - langgraph-postgres: - condition: service_healthy + restart: on-failure + ports: + - "5433:5432" + environment: + POSTGRES_DB: postgres + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres volumes: - - ./backend/migrations:/migrations - env_file: - - .env - command: - [ - "-path", - "/migrations", - "-database", - "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable", - "up", - ] + - langgraph-data:/var/lib/postgresql/data + healthcheck: + test: pg_isready -U postgres + start_period: 10s + timeout: 1s + retries: 5 backend: container_name: opengpts-backend pull_policy: build @@ -29,14 +29,13 @@ services: ports: - "8100:8000" # Backend is accessible on localhost:8100 depends_on: - postgres-setup: - condition: service_completed_successfully + langgraph-postgres: + condition: service_healthy env_file: - .env volumes: - ./backend:/backend environment: - POSTGRES_URI: "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" PGVECTOR_URI: "postgresql+psycopg2://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable" LANGGRAPH_URL: "http://langgraph-api:8000" command: diff --git a/frontend/src/hooks/useChatList.ts b/frontend/src/hooks/useChatList.ts index 2c76b065c..8853e2a15 100644 --- a/frontend/src/hooks/useChatList.ts +++ b/frontend/src/hooks/useChatList.ts @@ -61,7 +61,7 @@ export function useChatList(): ChatListProps { const updateChat = useCallback( async (thread_id: string, name: string, assistant_id: string | null) => { const response = await fetch(`/threads/${thread_id}`, { - method: "PUT", + method: "PATCH", body: JSON.stringify({ assistant_id, name }), headers: { "Content-Type": "application/json", diff --git a/frontend/src/hooks/useConfigList.ts b/frontend/src/hooks/useConfigList.ts index 548ce6a1a..82ec627e6 100644 --- a/frontend/src/hooks/useConfigList.ts +++ b/frontend/src/hooks/useConfigList.ts @@ -73,7 +73,7 @@ export function useConfigList(): ConfigListProps { const confResponse = await fetch( assistantId ? `/api/assistants/${assistantId}` : "/api/assistants", { - method: assistantId ? "PUT" : "POST", + method: assistantId ? "PATCH" : "POST", body: JSON.stringify({ name, config, public: isPublic }), headers: { "Content-Type": "application/json", diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index f79aa9c99..dafb24fdc 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -40,6 +40,7 @@ export function useStreamState(): StreamStateProps { body: JSON.stringify({ input, thread_id, config }), openWhenHidden: true, onmessage(msg) { + console.log(msg); if (msg.event === "data") { const messages = JSON.parse(msg.data); setCurrent((current) => ({ diff --git a/tools/redis_to_postgres/Dockerfile b/tools/redis_to_postgres/Dockerfile deleted file mode 100644 index 7055882ab..000000000 --- a/tools/redis_to_postgres/Dockerfile +++ /dev/null @@ -1,8 +0,0 @@ -FROM langchain/open-gpts:latest - -RUN poetry add redis==5.0.1 - -COPY migrate_data.py . - -# Run database schema migrations and then migrate data -ENTRYPOINT sh -c "make migrate && python migrate_data.py" \ No newline at end of file diff --git a/tools/redis_to_postgres/README.md b/tools/redis_to_postgres/README.md deleted file mode 100644 index a1d456770..000000000 --- a/tools/redis_to_postgres/README.md +++ /dev/null @@ -1,11 +0,0 @@ -OpenGPTs previously used Redis for data persistence, but has since switched to Postgres. If you have data in Redis that you would like to migrate to Postgres, follow the instructions below. - -Navigate to the `tools/redis_to_postgres` directory and ensure that the environment variables in the docker-compose file are set correctly for your Redis and Postgres instances. Then, run the following command to perform the migration: - -```shell -docker compose up --build --abort-on-container-exit -``` - -This will run database schema migrations for Postgres and then copy data from Redis to Postgres. Eventually all containers will be stopped. - -Note: if you were not using Redis locally and instead were using a remote Redis instance (for example on AWS), you can simply set the `REDIS_URL` environment variable to the remote instance's address, remove the `redis` service from the docker-compose file, and run the same command as above. \ No newline at end of file diff --git a/tools/redis_to_postgres/docker-compose.yml b/tools/redis_to_postgres/docker-compose.yml deleted file mode 100644 index b3b962d85..000000000 --- a/tools/redis_to_postgres/docker-compose.yml +++ /dev/null @@ -1,23 +0,0 @@ -version: "3" - -services: - redis: - image: redis/redis-stack-server:latest - ports: - - "6380:6379" - volumes: - - ./../../redis-volume:/data - data-migrator: - build: - context: . - depends_on: - - redis - network_mode: "host" - environment: - REDIS_URL: "redis://localhost:6380" - POSTGRES_HOST: "localhost" - POSTGRES_PORT: 5433 - POSTGRES_DB: postgres - POSTGRES_USER: postgres - POSTGRES_PASSWORD: postgres - OPENAI_API_KEY: ... diff --git a/tools/redis_to_postgres/migrate_data.py b/tools/redis_to_postgres/migrate_data.py deleted file mode 100644 index 84cfd9a0a..000000000 --- a/tools/redis_to_postgres/migrate_data.py +++ /dev/null @@ -1,282 +0,0 @@ -import asyncio -import json -import logging -import os -import pickle -import struct -import uuid -from collections import defaultdict -from datetime import datetime -from typing import Any, Iterator, Optional - -import asyncpg -import orjson -from langchain.utilities.redis import get_client -from langchain_core.runnables import ConfigurableFieldSpec, RunnableConfig -from langgraph.checkpoint import BaseCheckpointSaver -from langgraph.checkpoint.base import ( - Checkpoint, - empty_checkpoint, -) -from redis.client import Redis as RedisType - -from app.checkpoint import PostgresCheckpoint -from app.lifespan import get_pg_pool, lifespan -from app.server import app - -logging.basicConfig( - level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s" -) -logger = logging.getLogger(__name__) - -redis_client: RedisType = get_client(os.environ["REDIS_URL"], socket_keepalive=True) - -thread_hash_keys = ["assistant_id", "name", "updated_at"] -assistant_hash_keys = ["name", "config", "updated_at", "public"] -embedding_hash_keys = ["namespace", "source", "content_vector", "title", "content"] -public_user_id = "eef39817-c173-4eb6-8be4-f77cf37054fb" - - -def keys(match: str) -> Iterator[str]: - cursor = 0 - while True: - cursor, keys = redis_client.scan(cursor=cursor, match=match, count=100) - for key in keys: - yield key.decode("utf-8") - if cursor == 0: - break - - -def load(keys: list[str], values: list[bytes]) -> dict: - return {k: orjson.loads(v) if v is not None else None for k, v in zip(keys, values)} - - -class RedisCheckpoint(BaseCheckpointSaver): - class Config: - arbitrary_types_allowed = True - - @property - def config_specs(self) -> list[ConfigurableFieldSpec]: - return [ - ConfigurableFieldSpec( - id="user_id", - annotation=Optional[str], - name="User ID", - description=None, - default=None, - is_shared=True, - ), - ConfigurableFieldSpec( - id="thread_id", - annotation=Optional[str], - name="Thread ID", - description=None, - default=None, - is_shared=True, - ), - ] - - def _dump(self, mapping: dict[str, Any]) -> dict: - return { - k: pickle.dumps(v) if v is not None else None for k, v in mapping.items() - } - - def _load(self, mapping: dict[bytes, bytes]) -> dict: - return { - k.decode(): pickle.loads(v) if v is not None else None - for k, v in mapping.items() - } - - def _hash_key(self, config: RunnableConfig) -> str: - user_id = config["configurable"]["user_id"] - thread_id = config["configurable"]["thread_id"] - return f"opengpts:{user_id}:thread:{thread_id}:checkpoint" - - def get(self, config: RunnableConfig) -> Checkpoint | None: - value = self._load(redis_client.hgetall(self._hash_key(config))) - if value.get("v") == 1: - # langgraph version 1 - return value - elif value.get("__pregel_version") == 1: - # permchain version 1 - value.pop("__pregel_version") - value.pop("__pregel_ts") - checkpoint = empty_checkpoint() - if value.get("messages"): - checkpoint["channel_values"] = {"__root__": value["messages"][1]} - else: - checkpoint["channel_values"] = {} - for key in checkpoint["channel_values"]: - checkpoint["channel_versions"][key] = 1 - return checkpoint - else: - # unknown version - return None - - def put(self, config: RunnableConfig, checkpoint: Checkpoint) -> None: - return redis_client.hmset(self._hash_key(config), self._dump(checkpoint)) - - -async def migrate_assistants(conn: asyncpg.Connection) -> None: - logger.info("Migrating assistants.") - - for key in keys("opengpts:*:assistant:*"): - parts = key.split(":") - user_id, assistant_id = parts[1], parts[3] - if user_id == public_user_id: - continue - - values = redis_client.hmget(key, *assistant_hash_keys) - assistant = load(assistant_hash_keys, values) if any(values) else None - if assistant is not None: - await conn.execute( - ( - "INSERT INTO assistant (assistant_id, user_id, name, config, updated_at, public) " - "VALUES ($1, $2, $3, $4, $5, $6) ON CONFLICT (assistant_id) DO UPDATE SET " - "user_id = EXCLUDED.user_id, name = EXCLUDED.name, config = EXCLUDED.config, " - "updated_at = EXCLUDED.updated_at, public = EXCLUDED.public;" - ), - assistant_id, - user_id, - assistant["name"], - assistant["config"], - datetime.fromisoformat(assistant["updated_at"]), - assistant["public"], - ) - logger.info(f"Migrated assistant {assistant_id} for user {user_id}.") - - -async def migrate_threads(conn: asyncpg.Connection) -> None: - logger.info("Migrating threads.") - - for key in keys("opengpts:*:thread:*"): - if key.endswith(":checkpoint"): - continue - - parts = key.split(":") - user_id, thread_id = parts[1], parts[3] - - values = redis_client.hmget(key, *thread_hash_keys) - thread = load(thread_hash_keys, values) if any(values) else None - if thread is not None: - await conn.execute( - ( - "INSERT INTO thread (thread_id, assistant_id, user_id, name, updated_at) " - "VALUES ($1, $2, $3, $4, $5) ON CONFLICT (thread_id) DO UPDATE SET " - "assistant_id = EXCLUDED.assistant_id, user_id = EXCLUDED.user_id, " - "name = EXCLUDED.name, updated_at = EXCLUDED.updated_at;" - ), - thread_id, - thread["assistant_id"], - user_id, - thread["name"], - datetime.fromisoformat(thread["updated_at"]), - ) - logger.info(f"Migrated thread {thread_id} for user {user_id}.") - - -async def migrate_checkpoints() -> None: - logger.info("Migrating checkpoints.") - - redis_checkpoint = RedisCheckpoint() - postgres_checkpoint = PostgresCheckpoint() - - for key in keys("opengpts:*:thread:*:checkpoint"): - parts = key.split(":") - user_id, thread_id = parts[1], parts[3] - config = {"configurable": {"user_id": user_id, "thread_id": thread_id}} - checkpoint = redis_checkpoint.get(config) - if checkpoint: - if checkpoint.get("channel_values", {}).get("__root__"): - checkpoint["channel_values"]["__root__"] = [ - msg.__class__(**msg.__dict__) - for msg in checkpoint["channel_values"]["__root__"] - ] - await postgres_checkpoint.aput(config, checkpoint) - logger.info( - f"Migrated checkpoint for thread {thread_id} for user {user_id}." - ) - - -async def migrate_embeddings(conn: asyncpg.Connection) -> None: - logger.info("Migrating embeddings.") - - custom_ids = defaultdict(lambda: str(uuid.uuid4())) - - def _get_custom_id(doc: dict) -> str: - """custom_id is unique for each namespace.""" - return custom_ids[doc["namespace"]] - - def _redis_to_postgres_vector(binary_data: bytes) -> list[float]: - """Deserialize binary data to a list of floats.""" - assert len(binary_data) == 4 * 1536, "Invalid binary data length." - format_str = "<" + "1536f" - return list(struct.unpack(format_str, binary_data)) - - def _load_doc(values: list) -> Optional[str]: - doc = {} - for k, v in zip(embedding_hash_keys, values): - if k == "content_vector": - doc[k] = _redis_to_postgres_vector(v) - else: - doc[k] = v.decode() if v is not None else None - return doc - - def _get_cmetadata(doc: dict) -> str: - return json.dumps( - { - "source": doc["source"] if doc["source"] else None, - "namespace": doc["namespace"], - "title": doc["title"], - } - ) - - def _get_document(doc: dict) -> str: - """Sanitize the content by replacing null bytes.""" - return doc["content"].replace("\x00", "x") - - def _get_embedding(doc: dict) -> str: - return str(doc["content_vector"]) - - default_collection = await conn.fetchrow( - "SELECT uuid FROM langchain_pg_collection WHERE name = $1;", "langchain" - ) - assert ( - default_collection is not None - ), "Default collection not found in the database." - - for key in keys("doc:*"): - values = redis_client.hmget(key, *embedding_hash_keys) - doc = _load_doc(values) - await conn.execute( - ( - "INSERT INTO langchain_pg_embedding (document, collection_id, cmetadata, custom_id, embedding, uuid) " - "VALUES ($1, $2, $3, $4, $5, $6);" - ), - _get_document(doc), - default_collection["uuid"], - _get_cmetadata(doc), - _get_custom_id(doc), - _get_embedding(doc), - str(uuid.uuid4()), - ) - logger.info(f"Migrated embedding for namespace {doc['namespace']}.") - - -async def migrate_data(): - logger.info("Starting to migrate data from Redis to Postgres.") - async with get_pg_pool().acquire() as conn, conn.transaction(): - await migrate_assistants(conn) - await migrate_threads(conn) - await migrate_checkpoints() - await migrate_embeddings(conn) - logger.info("Data was migrated successfully.") - - -async def main(): - async with lifespan(app): - await migrate_data() - - -if __name__ == "__main__": - asyncio.run(main()) From 66a3065c503662360070d1f338d2840556aaccbe Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 14:32:07 -0700 Subject: [PATCH 35/50] Fix --- backend/Makefile | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/backend/Makefile b/backend/Makefile index 58d4dd63f..2b0228b02 100644 --- a/backend/Makefile +++ b/backend/Makefile @@ -18,11 +18,11 @@ start: test: # We need to update handling of env variables for tests - YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder poetry run pytest $(TEST_FILE) + YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder PGVECTOR_URI=postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable poetry run pytest $(TEST_FILE) test_watch: # We need to update handling of env variables for tests - YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder poetry run ptw . -- $(TEST_FILE) + YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder PGVECTOR_URI=postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable poetry run ptw . -- $(TEST_FILE) ###################### # LINTING AND FORMATTING From cef6f31fc277384232c51ebe935fcf7742cdfec5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:12:50 -0700 Subject: [PATCH 36/50] Fix tests --- backend/Makefile | 4 +- backend/app/api/assistants.py | 2 +- backend/app/api/threads.py | 2 +- backend/tests/unit_tests/app/helpers.py | 7 ++- backend/tests/unit_tests/app/test_app.py | 62 ++++++++++++++---------- 5 files changed, 45 insertions(+), 32 deletions(-) diff --git a/backend/Makefile b/backend/Makefile index 2b0228b02..7bb7465ca 100644 --- a/backend/Makefile +++ b/backend/Makefile @@ -18,11 +18,11 @@ start: test: # We need to update handling of env variables for tests - YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder PGVECTOR_URI=postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable poetry run pytest $(TEST_FILE) + YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder LANGGRAPH_URL=http://localhost:8123 PGVECTOR_URI=postgresql+psycopg2://postgres:postgres@localhost:5433/postgres?sslmode=disable poetry run pytest $(TEST_FILE) test_watch: # We need to update handling of env variables for tests - YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder PGVECTOR_URI=postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable poetry run ptw . -- $(TEST_FILE) + YDC_API_KEY=placeholder OPENAI_API_KEY=placeholder LANGGRAPH_URL=http://localhost:8123 PGVECTOR_URI=postgresql+psycopg2://postgres:postgres@localhost:5433/postgres?sslmode=disable poetry run ptw . -- $(TEST_FILE) ###################### # LINTING AND FORMATTING diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index effb6a1ea..17ad02f35 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -60,7 +60,7 @@ async def create_assistant( @router.patch("/{aid}") -async def upsert_assistant( +async def patch_assistant( user: AuthedUser, aid: AssistantID, payload: AssistantPayload, diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 165cf5f87..579a3d411 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -143,7 +143,7 @@ async def create_thread( @router.patch("/{tid}") -async def upsert_thread( +async def patch_thread( user: AuthedUser, tid: ThreadID, thread_put_request: ThreadPutRequest, diff --git a/backend/tests/unit_tests/app/helpers.py b/backend/tests/unit_tests/app/helpers.py index 1eb46ff52..f6f106e6f 100644 --- a/backend/tests/unit_tests/app/helpers.py +++ b/backend/tests/unit_tests/app/helpers.py @@ -1,6 +1,7 @@ from contextlib import asynccontextmanager -from httpx import AsyncClient +from app.lifespan import lifespan +from httpx import AsyncClient, ASGITransport from typing_extensions import AsyncGenerator @@ -9,5 +10,7 @@ async def get_client() -> AsyncGenerator[AsyncClient, None]: """Get the app.""" from app.server import app - async with AsyncClient(app=app, base_url="http://test") as ac: + async with lifespan(app), AsyncClient( + transport=ASGITransport(app), base_url="http://test" + ) as ac: yield ac diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index e5f6f4a4b..8656bf6e3 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -1,7 +1,6 @@ """Test the server and client together.""" from typing import Optional, Sequence -from uuid import uuid4 from tests.unit_tests.app.helpers import get_client @@ -15,11 +14,10 @@ def _project(d: dict, *, exclude_keys: Optional[Sequence[str]]) -> dict: async def test_list_and_create_assistants() -> None: """Test list and create assistants.""" headers = {"Cookie": "opengpts_user_id=1"} - aid = str(uuid4()) async with get_client() as client: response = await client.get( - "/assistants/", + "/api/assistants/", headers=headers, ) assert response.status_code == 200 @@ -27,20 +25,25 @@ async def test_list_and_create_assistants() -> None: assert response.json() == [] # Create an assistant - response = await client.put( - f"/assistants/{aid}", - json={"name": "bobby", "config": {}, "public": False}, + response = await client.post( + "/api/assistants", + json={ + "name": "bobby", + "config": {"configurable": {"type": "chatbot"}}, + "public": False, + }, headers=headers, ) assert response.status_code == 200 + aid = response.json()["assistant_id"] assert _project(response.json(), exclude_keys=["updated_at", "user_id"]) == { "assistant_id": aid, - "config": {}, + "config": {"configurable": {"type": "chatbot"}}, "name": "bobby", "public": False, } - response = await client.get("/assistants/", headers=headers) + response = await client.get("/api/assistants/", headers=headers) assert [ _project(d, exclude_keys=["updated_at", "user_id"]) for d in response.json() ] == [ @@ -52,8 +55,8 @@ async def test_list_and_create_assistants() -> None: } ] - response = await client.put( - f"/assistants/{aid}", + response = await client.patch( + f"/api/assistants/{aid}", json={"name": "bobby", "config": {}, "public": False}, headers=headers, ) @@ -67,20 +70,20 @@ async def test_list_and_create_assistants() -> None: # Check not visible to other users headers = {"Cookie": "opengpts_user_id=2"} - response = await client.get("/assistants/", headers=headers) + response = await client.get("/api/assistants/", headers=headers) assert response.status_code == 200, response.text assert response.json() == [] + await client.delete(f"/api/assistants/{aid}", headers=headers) + async def test_threads() -> None: """Test put thread.""" headers = {"Cookie": "opengpts_user_id=1"} - aid = str(uuid4()) - tid = str(uuid4()) async with get_client() as client: - response = await client.put( - f"/assistants/{aid}", + response = await client.post( + "/api/assistants", json={ "name": "assistant", "config": {"configurable": {"type": "chatbot"}}, @@ -88,19 +91,29 @@ async def test_threads() -> None: }, headers=headers, ) + assert response.status_code == 200, response.text + aid = response.json()["assistant_id"] - response = await client.put( - f"/threads/{tid}", + response = await client.post( + "/api/threads", json={"name": "bobby", "assistant_id": aid}, headers=headers, ) assert response.status_code == 200, response.text + tid = response.json()["thread_id"] - response = await client.get(f"/threads/{tid}/state", headers=headers) + response = await client.get(f"/api/threads/{tid}/state", headers=headers) assert response.status_code == 200 - assert response.json() == {"values": None, "next": []} + assert response.json() == { + "values": {}, + "next": [], + "config": {}, + "metadata": {}, + "created_at": None, + "parent_config": {}, + } - response = await client.get("/threads/", headers=headers) + response = await client.get("/api/threads/", headers=headers) assert response.status_code == 200 assert [ @@ -110,12 +123,9 @@ async def test_threads() -> None: "assistant_id": aid, "name": "bobby", "thread_id": tid, - "metadata": {"assistant_type": "chatbot"}, + "metadata": {}, } ] - response = await client.put( - f"/threads/{tid}", - headers={"Cookie": "opengpts_user_id=2"}, - ) - assert response.status_code == 422 + await client.delete(f"/api/threads/{tid}", headers=headers) + await client.delete(f"/api/assistants/{aid}", headers=headers) From 1efb5dceac8b3de3474cd377db82138bc9c08f60 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:13:20 -0700 Subject: [PATCH 37/50] ... --- .github/workflows/ci.yml | 42 ++++++++++++++++++---------------------- 1 file changed, 19 insertions(+), 23 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 8216a533f..8eba1ae1f 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -69,10 +69,6 @@ jobs: - name: Install dependencies run: | poetry install --with test - - name: Install golang-migrate - run: | - wget -O golang-migrate.deb https://github.com/golang-migrate/migrate/releases/download/v4.17.0/migrate.linux-amd64.deb - sudo dpkg -i golang-migrate.deb && rm golang-migrate.deb - name: Run tests env: POSTGRES_HOST: localhost @@ -84,22 +80,22 @@ jobs: run: make test frontend-lint-and-build: - runs-on: ubuntu-latest - needs: [lint, test] - steps: - - uses: actions/checkout@v3 - - name: Setup Node.js (LTS) - uses: actions/setup-node@v3 - with: - node-version: '20' - cache: 'yarn' - cache-dependency-path: frontend/yarn.lock - - name: Install frontend dependencies - run: yarn install - working-directory: ./frontend - - name: Run frontend lint - run: yarn lint - working-directory: ./frontend - - name: Build frontend - run: yarn build - working-directory: ./frontend + runs-on: ubuntu-latest + needs: [lint, test] + steps: + - uses: actions/checkout@v3 + - name: Setup Node.js (LTS) + uses: actions/setup-node@v3 + with: + node-version: "20" + cache: "yarn" + cache-dependency-path: frontend/yarn.lock + - name: Install frontend dependencies + run: yarn install + working-directory: ./frontend + - name: Run frontend lint + run: yarn lint + working-directory: ./frontend + - name: Build frontend + run: yarn build + working-directory: ./frontend From 13fbc0838b8ae219c9fd95d9b0d144ee5d39ccf5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:21:41 -0700 Subject: [PATCH 38/50] ci --- .github/workflows/ci.yml | 23 ++++------------------- 1 file changed, 4 insertions(+), 19 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 8eba1ae1f..bc5b92380 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -29,7 +29,7 @@ jobs: secrets: inherit test: - timeout-minutes: 5 + timeout-minutes: 10 runs-on: ubuntu-latest defaults: run: @@ -37,26 +37,8 @@ jobs: strategy: matrix: python-version: - - "3.9" - - "3.10" - "3.11" name: Python ${{ matrix.python-version }} tests - services: - # Label used to access the service container - postgres: - image: pgvector/pgvector:pg16 - env: - POSTGRES_USER: postgres - POSTGRES_PASSWORD: postgres - POSTGRES_DB: postgres - # Set health checks to wait until postgres has started - options: >- - --health-cmd pg_isready - --health-interval 10s - --health-timeout 5s - --health-retries 5 - ports: - - "5432:5432" steps: - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} @@ -69,6 +51,9 @@ jobs: - name: Install dependencies run: | poetry install --with test + - name: Start the service + working-directory: . + run: make start & - name: Run tests env: POSTGRES_HOST: localhost From 130fa0977baf213a193ac24c87d2b4cdcc683176 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:23:21 -0700 Subject: [PATCH 39/50] Fix --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index bc5b92380..d46e4a2dd 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -53,7 +53,7 @@ jobs: poetry install --with test - name: Start the service working-directory: . - run: make start & + run: poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose --wait - name: Run tests env: POSTGRES_HOST: localhost From aab77bb9d2c1b7353a4360fa5f69e7fc9fb8dafc Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:24:23 -0700 Subject: [PATCH 40/50] Fix --- .github/workflows/ci.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index d46e4a2dd..104a352a0 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -52,7 +52,6 @@ jobs: run: | poetry install --with test - name: Start the service - working-directory: . run: poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose --wait - name: Run tests env: From 39d06af01ab46fb49da739018765fec1b32c6d89 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:27:08 -0700 Subject: [PATCH 41/50] Upgrade cli --- backend/poetry.lock | 8 ++++---- backend/pyproject.toml | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index c8f0246ac..286feeec6 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1942,13 +1942,13 @@ uuid6 = ">=2024.1.12,<2025.0.0" [[package]] name = "langgraph-cli" -version = "0.1.36" +version = "0.1.37" description = "CLI for interacting with LangGraph API" optional = false python-versions = "<4.0.0,>=3.9.0" files = [ - {file = "langgraph_cli-0.1.36-py3-none-any.whl", hash = "sha256:aa6cc4fc4d76e8235d5d30b33fe8049fca4982581a0fcc1c95cd177e3da77b2d"}, - {file = "langgraph_cli-0.1.36.tar.gz", hash = "sha256:a5e914fe4d7e48419ff0c569b5b792da59663884dfd1c7656c87310a28a55d05"}, + {file = "langgraph_cli-0.1.37-py3-none-any.whl", hash = "sha256:c9b4b0db22300bb4e1fdb8377b50442f804c42702b46e77c30d7683ced6face4"}, + {file = "langgraph_cli-0.1.37.tar.gz", hash = "sha256:906b858102f96d5773da26258b5095348fcb300c151aa7e9a879873a8feb4871"}, ] [package.dependencies] @@ -4412,4 +4412,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "5cff3ebc38cdfc15aadf17e33db955600529f979f49a468a963668dfc606f0fb" +content-hash = "9bfbc8b6ba4fcb2e4943d3bc7cb44809bafa8e846fb59cc14f91d18f5df47ceb" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 6e686b657..1c923acf6 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -39,7 +39,7 @@ langchain-anthropic = ">=0.1.8" structlog = "^24.1.0" python-json-logger = "^2.0.7" langgraph-sdk = ">=0.1.9" -langgraph-cli = "^0.1.21" +langgraph-cli = ">=0.1.37" langchain-community = "^0.2.0" [tool.poetry.group.dev.dependencies] From b421f6e76eea7c61c9d581cc5f80f83f2c94b29c Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:30:00 -0700 Subject: [PATCH 42/50] Add empty env file --- .github/workflows/ci.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 104a352a0..fdea082f6 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -52,7 +52,9 @@ jobs: run: | poetry install --with test - name: Start the service - run: poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose --wait + run: | + touch ../.env + poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose --wait - name: Run tests env: POSTGRES_HOST: localhost From 452dea2d5b75cc5c027a39de5b9cf86ab75f8fff Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 18 Jun 2024 15:41:19 -0700 Subject: [PATCH 43/50] Fix docker build --- backend/.dockerignore | 1 + backend/Dockerfile | 23 +++-------------------- 2 files changed, 4 insertions(+), 20 deletions(-) create mode 100644 backend/.dockerignore diff --git a/backend/.dockerignore b/backend/.dockerignore new file mode 100644 index 000000000..1d17dae13 --- /dev/null +++ b/backend/.dockerignore @@ -0,0 +1 @@ +.venv diff --git a/backend/Dockerfile b/backend/Dockerfile index a195bfbde..95b8ea5cb 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -1,31 +1,14 @@ # Backend Dockerfile FROM python:3.11 -ARG TARGETOS -ARG TARGETARCH -ARG TARGETVARIANT - -# Install system dependencies -RUN apt-get update && rm -rf /var/lib/apt/lists/* -RUN wget -O golang-migrate.deb https://github.com/golang-migrate/migrate/releases/download/v4.17.0/migrate.${TARGETOS}-${TARGETARCH}${TARGETVARIANT}.deb \ - && dpkg -i golang-migrate.deb \ - && rm golang-migrate.deb - -# Install Poetry -RUN pip install poetry - # Set the working directory WORKDIR /backend -# Copy only dependencies -COPY pyproject.toml poetry.lock* ./ +# Copy the application +COPY . . # Install all dependencies -RUN poetry config virtualenvs.create false \ - && poetry install --no-interaction --no-ansi - -# Copy the rest of application code -COPY . . +RUN pip install -e . HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --start-interval=1s --retries=3 CMD [ "curl", "-f", "http://localhost:8000/ok" ] From ab0e09cbd599b27ecf51b0e6eac51f67a268aa11 Mon Sep 17 00:00:00 2001 From: vbarda Date: Tue, 18 Jun 2024 20:46:09 -0400 Subject: [PATCH 44/50] fix env --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index fdea082f6..f40206e65 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -53,7 +53,7 @@ jobs: poetry install --with test - name: Start the service run: | - touch ../.env + echo "OPENAI_API_KEY=placeholder" >> ../.env poetry run langgraph up -c ../langgraph.json -d ../compose.override.yml --postgres-uri 'postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable' --verbose --wait - name: Run tests env: From db4be93ead4c6d2ce36403755e8cc2316a1e3e8a Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 19 Jun 2024 10:11:12 -0700 Subject: [PATCH 45/50] Fix one --- backend/poetry.lock | 2 +- backend/pyproject.toml | 1 - backend/tests/unit_tests/app/test_app.py | 2 +- 3 files changed, 2 insertions(+), 3 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index 286feeec6..fbfb2c4f5 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -4412,4 +4412,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "9bfbc8b6ba4fcb2e4943d3bc7cb44809bafa8e846fb59cc14f91d18f5df47ceb" +content-hash = "610d4a9bf7ec9ad26304b1dfbedb58ce5647a285d8bfd6f69a4f6233f2c36341" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 1c923acf6..7d65c5afe 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -43,7 +43,6 @@ langgraph-cli = ">=0.1.37" langchain-community = "^0.2.0" [tool.poetry.group.dev.dependencies] -uvicorn = "^0.23.2" pygithub = "^2.1.1" [tool.poetry.group.lint.dependencies] diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index 8656bf6e3..40e315fe2 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -49,7 +49,7 @@ async def test_list_and_create_assistants() -> None: ] == [ { "assistant_id": aid, - "config": {}, + "config": {"configurable": {"type": "chatbot"}}, "name": "bobby", "public": False, } From c92fac4145686cc40bede96b15ee7a1bd43d61d5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 19 Jun 2024 10:19:18 -0700 Subject: [PATCH 46/50] Update --- backend/app/api/assistants.py | 8 ++++++++ backend/app/storage.py | 13 ++++++++++--- backend/tests/unit_tests/app/test_app.py | 6 +++--- 3 files changed, 21 insertions(+), 6 deletions(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index 17ad02f35..b8ea7e536 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -51,6 +51,10 @@ async def create_assistant( payload: AssistantPayload, ) -> Assistant: """Create an assistant.""" + if not payload.config.get("configurable", {}).get("type"): + raise HTTPException( + status_code=400, detail="Assistant config must have configurable.type field" + ) return await storage.create_assistant( user["user_id"], name=payload.name, @@ -66,6 +70,10 @@ async def patch_assistant( payload: AssistantPayload, ) -> Assistant: """Create or update an assistant.""" + if payload.config and not payload.config.get("configurable", {}).get("type"): + raise HTTPException( + status_code=400, detail="Assistant config must have configurable.type field" + ) return await storage.patch_assistant( user["user_id"], aid, diff --git a/backend/app/storage.py b/backend/app/storage.py index f874aa5f2..594b458a0 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -85,7 +85,12 @@ async def create_assistant( async def patch_assistant( - user_id: str, assistant_id: str, *, name: str, config: dict, public: bool = False + user_id: str, + assistant_id: str, + *, + name: Optional[str], + config: Optional[dict], + public: Optional[bool], ) -> Assistant: """Patch an assistant. @@ -101,9 +106,11 @@ async def patch_assistant( """ assistant = await get_api_client().assistants.update( assistant_id, - graph_id=config["configurable"]["type"], + graph_id=config["configurable"]["type"] if config else None, config=config, - metadata={"user_id": user_id, "public": public, "name": name}, + metadata={"user_id": user_id, "public": public or False, "name": name} + if name or public + else None, ) return Assistant( assistant_id=assistant["assistant_id"], diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index 40e315fe2..9830d511e 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -57,14 +57,14 @@ async def test_list_and_create_assistants() -> None: response = await client.patch( f"/api/assistants/{aid}", - json={"name": "bobby", "config": {}, "public": False}, + json={"name": "hmmmm"}, headers=headers, ) assert _project(response.json(), exclude_keys=["updated_at", "user_id"]) == { "assistant_id": aid, - "config": {}, - "name": "bobby", + "config": {"configurable": {"type": "chatbot"}}, + "name": "hmmmm", "public": False, } From 1f1b33fb376a73b32c59405f34d7a4645130edfa Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 19 Jun 2024 10:27:04 -0700 Subject: [PATCH 47/50] Fix --- backend/app/api/assistants.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index b8ea7e536..139235823 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -18,6 +18,14 @@ class AssistantPayload(BaseModel): public: bool = Field(default=False, description="Whether the assistant is public.") +class AssistantPatch(BaseModel): + """Payload for creating an assistant.""" + + name: str | None = Field(None, description="The name of the assistant.") + config: dict | None = Field(None, description="The assistant config.") + public: bool | None = Field(None, description="Whether the assistant is public.") + + AssistantID = Annotated[str, Path(description="The ID of the assistant.")] @@ -67,7 +75,7 @@ async def create_assistant( async def patch_assistant( user: AuthedUser, aid: AssistantID, - payload: AssistantPayload, + payload: AssistantPatch, ) -> Assistant: """Create or update an assistant.""" if payload.config and not payload.config.get("configurable", {}).get("type"): From f10976ba4bf3eefd13842e20c5f7a05fb4c8330d Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 19 Jun 2024 11:29:21 -0700 Subject: [PATCH 48/50] Add assert --- backend/tests/unit_tests/app/test_app.py | 1 + 1 file changed, 1 insertion(+) diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index 9830d511e..f7595ecc9 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -60,6 +60,7 @@ async def test_list_and_create_assistants() -> None: json={"name": "hmmmm"}, headers=headers, ) + assert response.status_code == 200, response.text assert _project(response.json(), exclude_keys=["updated_at", "user_id"]) == { "assistant_id": aid, From 1fb5aff6d433511b41401af93719e4ea9cfe7818 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 19 Jun 2024 12:53:09 -0700 Subject: [PATCH 49/50] Fix tests, better error messages --- backend/app/api/assistants.py | 1 + backend/app/server.py | 5 ++- backend/app/storage.py | 17 ++++---- backend/tests/unit_tests/app/test_app.py | 49 ++++++++++++------------ 4 files changed, 38 insertions(+), 34 deletions(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index 139235823..84a8966cb 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -82,6 +82,7 @@ async def patch_assistant( raise HTTPException( status_code=400, detail="Assistant config must have configurable.type field" ) + return await storage.patch_assistant( user["user_id"], aid, diff --git a/backend/app/server.py b/backend/app/server.py index cfe3ab8bd..7e1851e90 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -22,7 +22,10 @@ @app.exception_handler(httpx.HTTPStatusError) async def httpx_http_status_error_handler(request, exc: httpx.HTTPStatusError): return await http_exception_handler( - request, HTTPException(status_code=exc.response.status_code, detail=str(exc)) + request, + HTTPException( + status_code=exc.response.status_code, detail=", ".join(exc.__notes__) + ), ) diff --git a/backend/app/storage.py b/backend/app/storage.py index 594b458a0..51ebf5d34 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -78,9 +78,7 @@ async def create_assistant( assistant_id=assistant["assistant_id"], updated_at=assistant["updated_at"], config=assistant["config"], - name=name, - public=public, - user_id=user_id, + **assistant["metadata"], ) @@ -104,21 +102,22 @@ async def patch_assistant( Returns: return the assistant model if no exception is raised. """ + metadata = {} + if name is not None: + metadata["name"] = name + if public is not None: + metadata["public"] = public assistant = await get_api_client().assistants.update( assistant_id, graph_id=config["configurable"]["type"] if config else None, config=config, - metadata={"user_id": user_id, "public": public or False, "name": name} - if name or public - else None, + metadata=metadata or None, ) return Assistant( assistant_id=assistant["assistant_id"], updated_at=assistant["updated_at"], config=assistant["config"], - name=name, - public=public, - user_id=user_id, + **assistant["metadata"], ) diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index f7595ecc9..fb3c8c76d 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -21,8 +21,7 @@ async def test_list_and_create_assistants() -> None: headers=headers, ) assert response.status_code == 200 - - assert response.json() == [] + previous_n = len(response.json()) # Create an assistant response = await client.post( @@ -44,16 +43,14 @@ async def test_list_and_create_assistants() -> None: } response = await client.get("/api/assistants/", headers=headers) - assert [ - _project(d, exclude_keys=["updated_at", "user_id"]) for d in response.json() - ] == [ - { - "assistant_id": aid, - "config": {"configurable": {"type": "chatbot"}}, - "name": "bobby", - "public": False, - } - ] + this_assistant = next(a for a in response.json() if a["assistant_id"] == aid) + assert _project(this_assistant, exclude_keys=["updated_at", "user_id"]) == { + "assistant_id": aid, + "config": {"configurable": {"type": "chatbot"}}, + "name": "bobby", + "public": False, + } + assert len(response.json()) == previous_n + 1 response = await client.patch( f"/api/assistants/{aid}", @@ -73,7 +70,7 @@ async def test_list_and_create_assistants() -> None: headers = {"Cookie": "opengpts_user_id=2"} response = await client.get("/api/assistants/", headers=headers) assert response.status_code == 200, response.text - assert response.json() == [] + assert len(response.json()) == 0 await client.delete(f"/api/assistants/{aid}", headers=headers) @@ -83,6 +80,13 @@ async def test_threads() -> None: headers = {"Cookie": "opengpts_user_id=1"} async with get_client() as client: + response = await client.get( + "/api/threads/", + headers=headers, + ) + assert response.status_code == 200 + previous_n = len(response.json()) + response = await client.post( "/api/assistants", json={ @@ -115,18 +119,15 @@ async def test_threads() -> None: } response = await client.get("/api/threads/", headers=headers) - assert response.status_code == 200 - assert [ - _project(d, exclude_keys=["updated_at", "user_id"]) for d in response.json() - ] == [ - { - "assistant_id": aid, - "name": "bobby", - "thread_id": tid, - "metadata": {}, - } - ] + this_thread = next(t for t in response.json() if t["thread_id"] == tid) + assert _project(this_thread, exclude_keys=["updated_at", "user_id"]) == { + "thread_id": tid, + "assistant_id": aid, + "name": "bobby", + "metadata": {}, + } + assert len(response.json()) == previous_n + 1 await client.delete(f"/api/threads/{tid}", headers=headers) await client.delete(f"/api/assistants/{aid}", headers=headers) From 37379791b3080a505738b402ea2abd37b4ac2526 Mon Sep 17 00:00:00 2001 From: vbarda Date: Thu, 25 Jul 2024 11:35:51 -0400 Subject: [PATCH 50/50] fix rag --- backend/app/graphs/new_rag.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/app/graphs/new_rag.py b/backend/app/graphs/new_rag.py index d7a50c1b6..866b54a23 100644 --- a/backend/app/graphs/new_rag.py +++ b/backend/app/graphs/new_rag.py @@ -128,7 +128,7 @@ async def get_search_query(messages: Sequence[BaseMessage], config): 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(