From 1f538d81c681a93c51a7524633ee764ed37d7272 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 14 Nov 2023 14:48:35 +0000 Subject: [PATCH 01/31] WIP Use permchain agent executor --- .../agent_executor/permchain.py | 104 ++++++++++++++++++ .../gizmo_agent/agent_types/openai.py | 14 +-- .../gizmo_agent/agent_types/xml/agent.py | 6 +- .../gizmo_agent/agent_types/xml/prompts.py | 1 - .../packages/gizmo-agent/gizmo_agent/main.py | 10 +- backend/poetry.lock | 18 ++- backend/pyproject.toml | 1 + frontend/src/hooks/useStreamState.tsx | 2 + 8 files changed, 130 insertions(+), 26 deletions(-) create mode 100644 backend/packages/agent-executor/agent_executor/permchain.py diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py new file mode 100644 index 00000000..07ba0a67 --- /dev/null +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -0,0 +1,104 @@ +import json + +from permchain import Channel, Pregel +from permchain.channels import Topic +from langchain.schema.runnable import ( + Runnable, + RunnableConfig, + RunnableLambda, + RunnablePassthrough, +) +from langchain.schema.agent import AgentAction, AgentFinish, AgentActionMessageLog +from langchain.schema.messages import AIMessage, FunctionMessage, AnyMessage +from langchain.tools import BaseTool + + +def _create_agent_message( + output: AgentAction | AgentFinish +) -> list[AnyMessage] | AnyMessage: + if isinstance(output, AgentAction): + if isinstance(output, AgentActionMessageLog): + output.message_log[-1].additional_kwargs["agent"] = output + return output.message_log + else: + return AIMessage( + content=output.log, + additional_kwargs={"agent": output}, + ) + + else: + return AIMessage( + content=output.return_values["output"], + additional_kwargs={"agent": output}, + ) + + +def _create_function_message( + agent_action: AgentAction, observation: str +) -> FunctionMessage: + if not isinstance(observation, str): + try: + content = json.dumps(observation, ensure_ascii=False) + except Exception: + content = str(observation) + else: + content = observation + return FunctionMessage( + name=agent_action.tool, + content=content, + ) + + +def run_tool( + messages: list[AnyMessage], config: RunnableConfig, *, tools: dict[str, BaseTool] +) -> FunctionMessage: + action: AgentAction = messages[-1].additional_kwargs["agent"] + tool = tools[action.tool] + result = tool.invoke(action.tool_input, config) + return _create_function_message(action, result) + + +async def arun_tool( + messages: list[AnyMessage], config: RunnableConfig, *, tools: dict[str, BaseTool] +) -> FunctionMessage: + action: AgentAction = messages[-1].additional_kwargs["agent"] + tool = tools[action.tool] + result = await tool.ainvoke(action.tool_input, config) + return _create_function_message(action, result) + + +def get_agent_executor( + tools: list[BaseTool], + agent: Runnable[dict[str, list[AnyMessage]], AgentAction | AgentFinish], +) -> Pregel: + tool_map = {tool.name: tool for tool in tools} + tool_lambda = RunnableLambda(run_tool, arun_tool).bind(tools=tool_map) + + tool_chain = tool_lambda | Channel.write_to("messages") + agent_chain = ( + {"messages": RunnablePassthrough()} + | agent + | _create_agent_message + | Channel.write_to("messages") + ) + + def route_last_message(messages: list[AnyMessage]) -> Runnable: + message = messages[-1] + if isinstance(message, AIMessage): + if isinstance(message.additional_kwargs.get("agent"), AgentAction): + return tool_chain + elif isinstance(message.additional_kwargs.get("agent"), AgentFinish): + return RunnablePassthrough() + else: + return agent_chain + + executor = Channel.subscribe_to("messages") | route_last_message + + # TODO add agent stop message + + return Pregel( + chains={"executor": executor}, + channels={"messages": Topic(AnyMessage, accumulate=True)}, + input=["messages"], + output=["messages"], + ) diff --git a/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py b/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py index 203ccdc5..2f14c03c 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py +++ b/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py @@ -1,6 +1,5 @@ import os -from langchain.agents.format_scratchpad import format_to_openai_functions from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser from langchain.chat_models import AzureChatOpenAI, ChatOpenAI from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder @@ -27,7 +26,6 @@ def get_openai_function_agent( [ ("system", system_message), MessagesPlaceholder(variable_name="messages"), - MessagesPlaceholder(variable_name="agent_scratchpad"), ] ) if tools: @@ -36,15 +34,5 @@ def get_openai_function_agent( ) else: llm_with_tools = llm - agent = ( - { - "messages": lambda x: x["messages"], - "agent_scratchpad": lambda x: format_to_openai_functions( - x["intermediate_steps"] - ), - } - | prompt - | llm_with_tools - | OpenAIFunctionsAgentOutputParser() - ) + agent = prompt | llm_with_tools | OpenAIFunctionsAgentOutputParser() return agent diff --git a/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/agent.py b/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/agent.py index e873cee0..90bd170c 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/agent.py +++ b/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/agent.py @@ -1,7 +1,6 @@ import os import boto3 -from langchain.agents.format_scratchpad import format_xml from langchain.chat_models import BedrockChat, ChatAnthropic from langchain.schema.messages import AIMessage, HumanMessage from langchain.tools.render import render_text_description @@ -61,10 +60,7 @@ def get_xml_agent(tools, system_message, bedrock=False): llm_with_stop = model.bind(stop=[""]) agent = ( - { - "messages": lambda x: construct_chat_history(x["messages"]), - "agent_scratchpad": lambda x: format_xml(x["intermediate_steps"]), - } + {"messages": lambda x: construct_chat_history(x["messages"])} | prompt | llm_with_stop | parse_output diff --git a/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/prompts.py b/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/prompts.py index 5f202096..b16dcbff 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/prompts.py +++ b/backend/packages/gizmo-agent/gizmo_agent/agent_types/xml/prompts.py @@ -33,7 +33,6 @@ [ ("system", template), MessagesPlaceholder(variable_name="messages"), - ("ai", "{agent_scratchpad}"), ] ) diff --git a/backend/packages/gizmo-agent/gizmo_agent/main.py b/backend/packages/gizmo-agent/gizmo_agent/main.py index 43b5eec2..be49e29e 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/main.py +++ b/backend/packages/gizmo-agent/gizmo_agent/main.py @@ -2,8 +2,8 @@ from functools import partial from typing import Any, Mapping, Optional, Sequence -from agent_executor import AgentExecutor from agent_executor.history import RunnableWithMessageHistory +from agent_executor.permchain import get_agent_executor from langchain.memory import RedisChatMessageHistory from langchain.pydantic_v1 import BaseModel, Field from langchain.schema.messages import AnyMessage @@ -64,12 +64,10 @@ def __init__( _agent = get_xml_agent(_tools, system_message, bedrock=True) else: raise ValueError("Unexpected agent type") - agent_executor = AgentExecutor( - agent=_agent, + agent_executor = get_agent_executor( tools=_tools, - handle_parsing_errors=True, - max_iterations=10, - ) + agent=_agent, + ).with_config({"recursion_limit": 10}) super().__init__( tools=tools, agent=agent, diff --git a/backend/poetry.lock b/backend/poetry.lock index 41ab0cfa..2d2173ad 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1883,6 +1883,22 @@ dev = ["black", "mypy (==0.931)", "nox", "pytest"] docs = ["sphinx", "sphinx-argparse"] image = ["Pillow"] +[[package]] +name = "permchain" +version = "0.0.4" +description = "permchain" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [] +develop = true + +[package.dependencies] +langchain = "^0.0.335" + +[package.source] +type = "directory" +url = "../../permchain" + [[package]] name = "pluggy" version = "1.3.0" @@ -3422,4 +3438,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.8.1" -content-hash = "37414ed34cf3f379d6589da067bed4a6e7f1c434342dd8f3e39ec0f22553c1fc" +content-hash = "079f6361bb3a7f26bd319c0df5ed0d7ebebe77cfa614172796559c70024601f0" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index f5ff03d0..e72cc8be 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -24,6 +24,7 @@ python-multipart = "^0.0.6" tiktoken = "^0.5.1" langchain = "^0.0.335" python-magic = "^0.4.27" +permchain = {path = "../../permchain", develop = true} [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 694dd0c7..28ab124d 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -85,6 +85,8 @@ export function useStreamState(): StreamStateProps { [controller] ); + console.log("stream", current); + return { startStream, stopStream, From c363583ab89be1b7ddf55cd90290fdfaaf71e2d5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 14 Nov 2023 14:51:02 +0000 Subject: [PATCH 02/31] Lint --- backend/packages/agent-executor/agent_executor/permchain.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 07ba0a67..e865ef18 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -49,7 +49,7 @@ def _create_function_message( ) -def run_tool( +def _run_tool( messages: list[AnyMessage], config: RunnableConfig, *, tools: dict[str, BaseTool] ) -> FunctionMessage: action: AgentAction = messages[-1].additional_kwargs["agent"] @@ -58,7 +58,7 @@ def run_tool( return _create_function_message(action, result) -async def arun_tool( +async def _arun_tool( messages: list[AnyMessage], config: RunnableConfig, *, tools: dict[str, BaseTool] ) -> FunctionMessage: action: AgentAction = messages[-1].additional_kwargs["agent"] @@ -72,7 +72,7 @@ def get_agent_executor( agent: Runnable[dict[str, list[AnyMessage]], AgentAction | AgentFinish], ) -> Pregel: tool_map = {tool.name: tool for tool in tools} - tool_lambda = RunnableLambda(run_tool, arun_tool).bind(tools=tool_map) + tool_lambda = RunnableLambda(_run_tool, _arun_tool).bind(tools=tool_map) tool_chain = tool_lambda | Channel.write_to("messages") agent_chain = ( From 1089ae060a59f64931e5da5622fa384aac0fe47a Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 14 Nov 2023 15:13:14 +0000 Subject: [PATCH 03/31] Lint --- backend/packages/agent-executor/agent_executor/permchain.py | 1 - 1 file changed, 1 deletion(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index e865ef18..1aa72a00 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -25,7 +25,6 @@ def _create_agent_message( content=output.log, additional_kwargs={"agent": output}, ) - else: return AIMessage( content=output.return_values["output"], From b557a37ba36d72ddedb4aab5a3751a8f3c9ddb32 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 14 Nov 2023 15:24:57 +0000 Subject: [PATCH 04/31] Lint --- backend/packages/agent-executor/agent_executor/permchain.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 1aa72a00..358d9544 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -85,6 +85,7 @@ def route_last_message(messages: list[AnyMessage]) -> Runnable: message = messages[-1] if isinstance(message, AIMessage): if isinstance(message.additional_kwargs.get("agent"), AgentAction): + # TODO if this is last step, return stop message instead return tool_chain elif isinstance(message.additional_kwargs.get("agent"), AgentFinish): return RunnablePassthrough() @@ -93,8 +94,6 @@ def route_last_message(messages: list[AnyMessage]) -> Runnable: executor = Channel.subscribe_to("messages") | route_last_message - # TODO add agent stop message - return Pregel( chains={"executor": executor}, channels={"messages": Topic(AnyMessage, accumulate=True)}, From d8ba88675410053d59f244f9acf3e90ddd333081 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Tue, 14 Nov 2023 16:00:48 +0000 Subject: [PATCH 05/31] Use permchain checkpoints --- backend/app/storage.py | 14 ++-- .../agent_executor/checkpoint.py | 65 +++++++++++++++++++ .../agent_executor/permchain.py | 3 + .../packages/gizmo-agent/gizmo_agent/main.py | 63 ++++++++---------- frontend/src/App.tsx | 2 +- frontend/src/hooks/useStreamState.tsx | 6 +- 6 files changed, 105 insertions(+), 48 deletions(-) create mode 100644 backend/packages/agent-executor/agent_executor/checkpoint.py diff --git a/backend/app/storage.py b/backend/app/storage.py index 2ea37c3a..7d2e5d3e 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -2,8 +2,8 @@ from datetime import datetime import orjson -from langchain.schema.messages import messages_from_dict from langchain.utilities.redis import get_client +from agent_executor.checkpoint import RedisCheckpoint from redis.client import Redis as RedisType @@ -115,13 +115,13 @@ def list_threads(user_id: str): def get_thread_messages(user_id: str, thread_id: str): - client = _get_redis_client() - messages = client.lrange(thread_messages_key(user_id, thread_id), 0, -1) + client = RedisCheckpoint() + checkpoint = client.get( + {"configurable": {"user_id": user_id, "thread_id": thread_id}} + ) + _, messages = checkpoint.get("messages", [[], []]) return { - "messages": [ - m.dict() - for m in messages_from_dict([orjson.loads(m) for m in messages[::-1]]) - ], + "messages": [m.dict() for m in messages], } diff --git a/backend/packages/agent-executor/agent_executor/checkpoint.py b/backend/packages/agent-executor/agent_executor/checkpoint.py new file mode 100644 index 00000000..ec4f8f64 --- /dev/null +++ b/backend/packages/agent-executor/agent_executor/checkpoint.py @@ -0,0 +1,65 @@ +import os +import pickle +from functools import partial +from typing import Any, Mapping, Sequence + +from langchain.pydantic_v1 import Field +from langchain.schema.runnable import RunnableConfig +from langchain.schema.runnable.utils import ConfigurableFieldSpec +from langchain.utilities.redis import get_client +from permchain.checkpoint.base import BaseCheckpointAdapter +from redis.client import Redis as RedisType + + +def checkpoint_key(user_id: str, thread_id: str): + return f"opengpts:{user_id}:thread:{thread_id}:checkpoint" + + +def _dump(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(mapping: dict[bytes, bytes]) -> dict: + return { + k.decode(): pickle.loads(v) if v is not None else None + for k, v in mapping.items() + } + + +class RedisCheckpoint(BaseCheckpointAdapter): + client: RedisType = Field( + default_factory=partial(get_client, os.environ.get("REDIS_URL")) + ) + + class Config: + arbitrary_types_allowed = True + + @property + def config_specs(self) -> Sequence[ConfigurableFieldSpec]: + return [ + ConfigurableFieldSpec( + id="user_id", + annotation=str, + name="User ID", + description=None, + default=None, + ), + ConfigurableFieldSpec( + id="thread_id", + annotation=str, + name="Thread ID", + description=None, + default="", + ), + ] + + def _hash_key(self, config: RunnableConfig) -> str: + return checkpoint_key( + config["configurable"]["user_id"], config["configurable"]["thread_id"] + ) + + def get(self, config: RunnableConfig) -> Mapping[str, Any] | None: + return _load(self.client.hgetall(self._hash_key(config))) + + def put(self, config: RunnableConfig, checkpoint: Mapping[str, Any]) -> None: + return self.client.hmset(self._hash_key(config), _dump(checkpoint)) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 358d9544..4f538246 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -2,6 +2,7 @@ from permchain import Channel, Pregel from permchain.channels import Topic +from permchain.checkpoint.base import BaseCheckpointAdapter from langchain.schema.runnable import ( Runnable, RunnableConfig, @@ -69,6 +70,7 @@ async def _arun_tool( def get_agent_executor( tools: list[BaseTool], agent: Runnable[dict[str, list[AnyMessage]], AgentAction | AgentFinish], + checkpoint: BaseCheckpointAdapter, ) -> Pregel: tool_map = {tool.name: tool for tool in tools} tool_lambda = RunnableLambda(_run_tool, _arun_tool).bind(tools=tool_map) @@ -99,4 +101,5 @@ def route_last_message(messages: list[AnyMessage]) -> Runnable: channels={"messages": Topic(AnyMessage, accumulate=True)}, input=["messages"], output=["messages"], + checkpoint=checkpoint, ) diff --git a/backend/packages/gizmo-agent/gizmo_agent/main.py b/backend/packages/gizmo-agent/gizmo_agent/main.py index be49e29e..705d9cf0 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/main.py +++ b/backend/packages/gizmo-agent/gizmo_agent/main.py @@ -1,10 +1,7 @@ -import os -from functools import partial from typing import Any, Mapping, Optional, Sequence +from agent_executor.checkpoint import RedisCheckpoint -from agent_executor.history import RunnableWithMessageHistory from agent_executor.permchain import get_agent_executor -from langchain.memory import RedisChatMessageHistory from langchain.pydantic_v1 import BaseModel, Field from langchain.schema.messages import AnyMessage from langchain.schema.runnable import ( @@ -65,8 +62,7 @@ def __init__( else: raise ValueError("Unexpected agent type") agent_executor = get_agent_executor( - tools=_tools, - agent=_agent, + tools=_tools, agent=_agent, checkpoint=RedisCheckpoint() ).with_config({"recursion_limit": 10}) super().__init__( tools=tools, @@ -79,40 +75,33 @@ def __init__( class AgentInput(BaseModel): - input: AnyMessage + messages: AnyMessage class AgentOutput(BaseModel): messages: Sequence[AnyMessage] = Field(..., extra={"widget": {"type": "chat"}}) - output: str - - -agent = ConfigurableAgent( - agent=GizmoAgentType.GPT_35_TURBO, - tools=[], - system_message=DEFAULT_SYSTEM_MESSAGE, - assistant_id=None, -).configurable_fields( - agent=ConfigurableField(id="agent_type", name="Agent Type"), - system_message=ConfigurableField(id="system_message", name="System Message"), - assistant_id=ConfigurableField(id="assistant_id", name="Assistant ID"), - tools=ConfigurableFieldMultiOption( - id="tools", - name="Tools", - options=TOOL_OPTIONS, - default=[], - ), + + +agent = ( + ConfigurableAgent( + agent=GizmoAgentType.GPT_35_TURBO, + tools=[], + system_message=DEFAULT_SYSTEM_MESSAGE, + assistant_id=None, + ) + .configurable_fields( + agent=ConfigurableField(id="agent_type", name="Agent Type"), + system_message=ConfigurableField(id="system_message", name="System Message"), + assistant_id=ConfigurableField(id="assistant_id", name="Assistant ID"), + tools=ConfigurableFieldMultiOption( + id="tools", + name="Tools", + options=TOOL_OPTIONS, + default=[], + ), + ) + .with_types(input_type=AgentInput, output_type=AgentOutput) ) -agent = RunnableWithMessageHistory( - agent, - # first arg should be a function that - # - accepts a single arg "session_id" - # - returns a BaseChatMessageHistory instance - partial(RedisChatMessageHistory, url=os.environ["REDIS_URL"]), - input_key="input", - output_key="messages", - history_key="messages", -).with_types(input_type=AgentInput, output_type=AgentOutput) if __name__ == "__main__": import asyncio @@ -121,8 +110,8 @@ class AgentOutput(BaseModel): async def run(): async for m in agent.astream_log( - {"input": HumanMessage(content="whats your name")}, - config={"configurable": {"thread_id": "test1"}}, + {"messages": HumanMessage(content="whats your name")}, + config={"configurable": {"user_id": "1", "thread_id": "test1"}}, ): print(m) diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index f9a14d19..fccd9fa8 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -25,7 +25,7 @@ function App() { if (!config) return; await startStream( { - input: { + messages: { content: message, additional_kwargs: {}, type: "human", diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 28ab124d..2a42e280 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -10,7 +10,7 @@ export interface StreamState { export interface StreamStateProps { stream: StreamState | null; - startStream: (input: { input: Message }, config: unknown) => Promise; + startStream: (input: { messages: Message }, config: unknown) => Promise; stopStream?: (clear?: boolean) => void; } @@ -19,10 +19,10 @@ export function useStreamState(): StreamStateProps { const [controller, setController] = useState(null); const startStream = useCallback( - async (input: { input: Message }, config: unknown) => { + async (input: { messages: Message }, config: unknown) => { const controller = new AbortController(); setController(controller); - setCurrent({ status: "inflight", messages: [input.input] }); + setCurrent({ status: "inflight", messages: [input.messages] }); await fetchEventSource("/stream", { signal: controller.signal, From 73ce7b084ef584e394b0cd72104489b38fb27884 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 14:31:02 +0000 Subject: [PATCH 06/31] Fix streaming of messages --- backend/app/storage.py | 19 +++++++++---------- .../packages/gizmo-agent/gizmo_agent/main.py | 2 +- frontend/src/App.tsx | 14 ++++++++------ frontend/src/hooks/useChatMessages.ts | 12 +++--------- frontend/src/hooks/useStreamState.tsx | 14 ++++++++------ 5 files changed, 29 insertions(+), 32 deletions(-) diff --git a/backend/app/storage.py b/backend/app/storage.py index 7d2e5d3e..786d96a9 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -2,8 +2,11 @@ from datetime import datetime import orjson +from langchain.schema.messages import AnyMessage from langchain.utilities.redis import get_client from agent_executor.checkpoint import RedisCheckpoint +from permchain.channels.base import ChannelsManager +from permchain.channels import Topic from redis.client import Redis as RedisType @@ -23,12 +26,6 @@ def thread_key(user_id: str, thread_id: str): return f"opengpts:{user_id}:thread:{thread_id}" -def thread_messages_key(user_id: str, thread_id: str): - # Needs to match key used by RedisChatMessageHistory - # TODO we probably want to align this with the others - return f"message_store:{user_id}:{thread_id}" - - assistant_hash_keys = ["assistant_id", "name", "config", "updated_at", "public"] thread_hash_keys = ["assistant_id", "thread_id", "name", "updated_at"] public_user_id = "eef39817-c173-4eb6-8be4-f77cf37054fb" @@ -119,10 +116,12 @@ def get_thread_messages(user_id: str, thread_id: str): checkpoint = client.get( {"configurable": {"user_id": user_id, "thread_id": thread_id}} ) - _, messages = checkpoint.get("messages", [[], []]) - return { - "messages": [m.dict() for m in messages], - } + # TODO replace hardcoded messages channel with + # channel extracted from agent + with ChannelsManager( + {"messages": Topic(AnyMessage, accumulate=True)}, checkpoint + ) as channels: + return {k: v.get() for k, v in channels.items()} def put_thread(user_id: str, thread_id: str, *, assistant_id: str, name: str): diff --git a/backend/packages/gizmo-agent/gizmo_agent/main.py b/backend/packages/gizmo-agent/gizmo_agent/main.py index 705d9cf0..e261785e 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/main.py +++ b/backend/packages/gizmo-agent/gizmo_agent/main.py @@ -75,7 +75,7 @@ def __init__( class AgentInput(BaseModel): - messages: AnyMessage + messages: Sequence[AnyMessage] class AgentOutput(BaseModel): diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index fccd9fa8..088ffabe 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -25,12 +25,14 @@ function App() { if (!config) return; await startStream( { - messages: { - content: message, - additional_kwargs: {}, - type: "human", - example: false, - }, + messages: [ + { + content: message, + additional_kwargs: {}, + type: "human", + example: false, + }, + ], }, { ...config, diff --git a/frontend/src/hooks/useChatMessages.ts b/frontend/src/hooks/useChatMessages.ts index 71d14a13..cc49cf7f 100644 --- a/frontend/src/hooks/useChatMessages.ts +++ b/frontend/src/hooks/useChatMessages.ts @@ -47,13 +47,7 @@ export function useChatMessages( // eslint-disable-next-line react-hooks/exhaustive-deps }, [stream?.status]); - return useMemo(() => { - // TODO replace this with less hacky logic - const ignoreStream = - !stream || - JSON.stringify(stream.messages) === - JSON.stringify(messages?.slice(-stream.messages?.length)); - - return ignoreStream ? messages : [...(messages ?? []), ...stream.messages]; - }, [messages, stream]); + return stream?.merge + ? [...(messages ?? []), ...stream.messages] + : stream?.messages ?? messages; } diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 2a42e280..c0b5e460 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -6,11 +6,15 @@ export interface StreamState { status: "inflight" | "error" | "done"; messages: Message[]; run_id?: string; + merge?: boolean; } export interface StreamStateProps { stream: StreamState | null; - startStream: (input: { messages: Message }, config: unknown) => Promise; + startStream: ( + input: { messages: Message[] }, + config: unknown + ) => Promise; stopStream?: (clear?: boolean) => void; } @@ -19,10 +23,10 @@ export function useStreamState(): StreamStateProps { const [controller, setController] = useState(null); const startStream = useCallback( - async (input: { messages: Message }, config: unknown) => { + async (input: { messages: Message[] }, config: unknown) => { const controller = new AbortController(); setController(controller); - setCurrent({ status: "inflight", messages: [input.messages] }); + setCurrent({ status: "inflight", messages: input.messages, merge: true }); await fetchEventSource("/stream", { signal: controller.signal, @@ -34,7 +38,7 @@ export function useStreamState(): StreamStateProps { const { messages } = JSON.parse(msg.data); setCurrent((current) => ({ status: "inflight", - messages: [...(current?.messages ?? []), ...messages], + messages, run_id: current?.run_id, })); } else if (msg.event === "metadata") { @@ -85,8 +89,6 @@ export function useStreamState(): StreamStateProps { [controller] ); - console.log("stream", current); - return { startStream, stopStream, From 1652c940a323a8b75758b0bf95511c221eb613ba Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 14:32:46 +0000 Subject: [PATCH 07/31] Lint --- frontend/src/hooks/useChatMessages.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/src/hooks/useChatMessages.ts b/frontend/src/hooks/useChatMessages.ts index cc49cf7f..155b95c6 100644 --- a/frontend/src/hooks/useChatMessages.ts +++ b/frontend/src/hooks/useChatMessages.ts @@ -1,4 +1,4 @@ -import { useEffect, useMemo, useState } from "react"; +import { useEffect, useState } from "react"; import { Message } from "./useChatList"; import { StreamState } from "./useStreamState"; From a3c5a3b03b2b2d8411dfb945174067fa01516e2a Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 14:33:40 +0000 Subject: [PATCH 08/31] Lint --- frontend/src/hooks/useChatMessages.ts | 2 -- 1 file changed, 2 deletions(-) diff --git a/frontend/src/hooks/useChatMessages.ts b/frontend/src/hooks/useChatMessages.ts index 155b95c6..6ede4157 100644 --- a/frontend/src/hooks/useChatMessages.ts +++ b/frontend/src/hooks/useChatMessages.ts @@ -2,8 +2,6 @@ import { useEffect, useState } from "react"; import { Message } from "./useChatList"; import { StreamState } from "./useStreamState"; -// const MESSAGES_SEEN = new WeakSet(); - async function getMessages(threadId: string) { const { messages } = await fetch(`/threads/${threadId}/messages`, { headers: { From 30eadddaac0b4e10a7666d8d92c0bfdca5af0621 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 16:29:56 +0000 Subject: [PATCH 09/31] Implement stop message, fix tool execution --- .../agent_executor/permchain.py | 57 ++++++++++++------- 1 file changed, 37 insertions(+), 20 deletions(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 4f538246..014e2cbb 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -1,6 +1,8 @@ import json +from operator import itemgetter +from typing import Sequence -from permchain import Channel, Pregel +from permchain import Channel, Pregel, ReservedChannels from permchain.channels import Topic from permchain.checkpoint.base import BaseCheckpointAdapter from langchain.schema.runnable import ( @@ -20,7 +22,9 @@ def _create_agent_message( if isinstance(output, AgentAction): if isinstance(output, AgentActionMessageLog): output.message_log[-1].additional_kwargs["agent"] = output - return output.message_log + messages = output.message_log + output.message_log = [] + return messages else: return AIMessage( content=output.log, @@ -75,26 +79,39 @@ def get_agent_executor( tool_map = {tool.name: tool for tool in tools} tool_lambda = RunnableLambda(_run_tool, _arun_tool).bind(tools=tool_map) - tool_chain = tool_lambda | Channel.write_to("messages") - agent_chain = ( - {"messages": RunnablePassthrough()} - | agent - | _create_agent_message - | Channel.write_to("messages") - ) + tool_chain = itemgetter("messages") | tool_lambda | Channel.write_to("messages") + agent_chain = agent | _create_agent_message | Channel.write_to("messages") - def route_last_message(messages: list[AnyMessage]) -> Runnable: - message = messages[-1] - if isinstance(message, AIMessage): - if isinstance(message.additional_kwargs.get("agent"), AgentAction): - # TODO if this is last step, return stop message instead - return tool_chain - elif isinstance(message.additional_kwargs.get("agent"), AgentFinish): - return RunnablePassthrough() - else: - return agent_chain + def route_last_message(input: dict[str, bool | Sequence[AnyMessage]]) -> Runnable: + message: AnyMessage = input["messages"][-1] + if isinstance(message.additional_kwargs.get("agent"), AgentFinish): + # finished, do nothing + return RunnablePassthrough() + + if input[ReservedChannels.is_last_step]: + # exhausted iterations without finishing, return stop message + return Channel.write_to( + messages=_create_agent_message( + AgentFinish( + { + "output": "Agent stopped due to iteration limit or time limit." + }, + "", + ) + ) + ) - executor = Channel.subscribe_to("messages") | route_last_message + if isinstance(message.additional_kwargs.get("agent"), AgentAction): + # agent action, run it + return tool_chain + + # otherwise, run the agent + return agent_chain + + executor = ( + Channel.subscribe_to(["messages", ReservedChannels.is_last_step]) + | route_last_message + ) return Pregel( chains={"executor": executor}, From f1ee430275de2a486d806fe4d5e45b1667eceba3 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 16:30:25 +0000 Subject: [PATCH 10/31] Comment --- backend/packages/agent-executor/agent_executor/permchain.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 014e2cbb..23d5f6ed 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -23,7 +23,7 @@ def _create_agent_message( if isinstance(output, AgentActionMessageLog): output.message_log[-1].additional_kwargs["agent"] = output messages = output.message_log - output.message_log = [] + output.message_log = [] # avoid circular reference for json dumps return messages else: return AIMessage( From b227539f3e86078b8d086cac61550c8aae177afa Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Wed, 15 Nov 2023 16:37:31 +0000 Subject: [PATCH 11/31] Delete previous impl --- .../agent-executor/agent_executor/__init__.py | 460 ------------------ .../agent-executor/agent_executor/history.py | 124 ----- .../agent_executor/runnables.py | 257 ---------- 3 files changed, 841 deletions(-) delete mode 100644 backend/packages/agent-executor/agent_executor/history.py delete mode 100644 backend/packages/agent-executor/agent_executor/runnables.py diff --git a/backend/packages/agent-executor/agent_executor/__init__.py b/backend/packages/agent-executor/agent_executor/__init__.py index f34b77f6..e69de29b 100644 --- a/backend/packages/agent-executor/agent_executor/__init__.py +++ b/backend/packages/agent-executor/agent_executor/__init__.py @@ -1,460 +0,0 @@ -from __future__ import annotations - -import asyncio -import json -import logging -import time -from typing import ( - Any, - AsyncIterator, - Callable, - Dict, - List, - Optional, - Sequence, - Tuple, - Union, -) - -from langchain.agents.agent import ExceptionTool -from langchain.agents.tools import InvalidTool -from langchain.callbacks.manager import ( - AsyncCallbackManager, - AsyncCallbackManagerForChainRun, -) -from langchain.load.dump import dumpd -from langchain.load.serializable import Serializable -from langchain.schema import ( - AgentAction, - AgentFinish, - OutputParserException, -) -from langchain.schema.agent import AgentActionMessageLog -from langchain.schema.messages import ( - AIMessage, - BaseMessage, - FunctionMessage, -) -from langchain.schema.runnable import Runnable, RunnableSerializable -from langchain.schema.runnable.config import RunnableConfig -from langchain.schema.runnable.utils import AddableDict, Input, Output -from langchain.tools.base import BaseTool -from langchain.utilities.asyncio import asyncio_timeout -from langchain.utils.input import get_color_mapping - -logger = logging.getLogger(__name__) - - -def _create_function_message( - agent_action: AgentAction, observation: str -) -> FunctionMessage: - """Convert agent action and observation into a function message. - Args: - agent_action: the tool invocation request from the agent - observation: the result of the tool invocation - Returns: - FunctionMessage that corresponds to the original tool invocation - """ - if not isinstance(observation, str): - try: - content = json.dumps(observation, ensure_ascii=False) - except Exception: - content = str(observation) - else: - content = observation - return FunctionMessage( - name=agent_action.tool, - content=content, - ) - - -def _convert_agent_observation_to_messages( - agent_action: AgentAction, observation: Any -) -> Sequence[BaseMessage]: - """Convert an agent action to a message. - - This code is used to reconstruct the original AI message from the agent action. - - Args: - agent_action: Agent action to convert. - - Returns: - AIMessage that corresponds to the original tool invocation. - """ - return [_create_function_message(agent_action, observation)] - - -class AgentStep(Serializable): - """The result of running an AgentAction.""" - - action: AgentAction - """The AgentAction that was executed.""" - observation: Any - """The result of the AgentAction.""" - - @property - def messages(self) -> Sequence[BaseMessage]: - """Return the messages that correspond to this observation.""" - return _convert_agent_observation_to_messages(self.action, self.observation) - - -NextStepOutput = List[Union[AgentFinish, AgentAction, AgentStep]] - - -class AgentExecutor(RunnableSerializable): - agent: Runnable - """The agent to run for creating a plan and determining actions - to take at each step of the execution loop.""" - tools: Sequence[BaseTool] - """The valid tools the agent can call.""" - max_iterations: Optional[int] = 15 - """The maximum number of steps to take before ending the execution - loop. - - Setting to 'None' could lead to an infinite loop.""" - max_execution_time: Optional[float] = None - """The maximum amount of wall clock time to spend in the execution - loop. - """ - early_stopping_method: str = "force" - """The method to use for early stopping if the agent never - returns `AgentFinish`. Either 'force' or 'generate'. - - `"force"` returns a string saying that it stopped because it met a - time or iteration limit. - - `"generate"` calls the agent's LLM Chain one final time to generate - a final answer based on the previous steps. - """ - handle_parsing_errors: Union[ - bool, str, Callable[[OutputParserException], str] - ] = False - """How to handle errors raised by the agent's output parser. - Defaults to `False`, which raises the error. - If `true`, the error will be sent back to the LLM as an observation. - If a string, the string itself will be sent to the LLM as an observation. - If a callable function, the function will be called with the exception - as an argument, and the result of that function will be passed to the agent - as an observation. - """ - - class Config: - """Configuration for this pydantic object.""" - - arbitrary_types_allowed = True - - def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Output: - raise ValueError - - def _should_continue(self, iterations: int, time_elapsed: float) -> bool: - if self.max_iterations is not None and iterations >= self.max_iterations: - return False - if ( - self.max_execution_time is not None - and time_elapsed >= self.max_execution_time - ): - return False - - return True - - @property - def name_to_tool_map(self) -> Dict[str, BaseTool]: - return {tool.name: tool for tool in self.tools} - - @property - def color_mapping(self) -> Dict[str, str]: - return get_color_mapping( - [tool.name for tool in self.tools], - excluded_colors=["green", "red"], - ) - - def _get_tool_return( - self, next_step_output: Tuple[AgentAction, str] - ) -> Optional[AgentFinish]: - """Check if the tool is a returning tool.""" - agent_action, observation = next_step_output - name_to_tool_map = {tool.name: tool for tool in self.tools} - return_value_key = "output" - # Invalid tools won't be in the map, so we return False. - if agent_action.tool in name_to_tool_map: - if name_to_tool_map[agent_action.tool].return_direct: - return AgentFinish( - {return_value_key: observation}, - "", - ) - return None - - def return_stopped_response( - self, - early_stopping_method: str, - intermediate_steps: List[Tuple[AgentAction, str]], - **kwargs: Any, - ) -> AgentFinish: - """Return response when agent has been stopped due to max iterations.""" - if early_stopping_method == "force": - # `force` just returns a constant string - return AgentFinish( - {"output": "Agent stopped due to iteration limit or time limit."}, "" - ) - else: - raise ValueError( - "early_stopping_method should be one of `force` or `generate`, " - f"got {early_stopping_method}" - ) - - async def _aprocess_next_step_output( - self, - next_step_output: Union[AgentFinish, List[Tuple[AgentAction, str]]], - intermediate_steps, - run_manager: AsyncCallbackManagerForChainRun, - acc_output: AddableDict, - ) -> Optional[AddableDict]: - """ - Process the output of the next async step, - handling AgentFinish and tool return cases. - """ - logger.debug("Processing output of async Agent loop step") - if isinstance(next_step_output, AgentFinish): - logger.debug( - "Hit AgentFinish: _areturn -> on_chain_end -> run final output logic" - ) - return await self._areturn( - next_step_output, run_manager=run_manager, acc_output=acc_output - ) - - intermediate_steps.extend(next_step_output) - logger.debug("Updated intermediate_steps with step output") - - # Check for tool return - if len(next_step_output) == 1: - next_step_action = next_step_output[0] - tool_return = self._get_tool_return(next_step_action) - if tool_return is not None: - return await self._areturn( - tool_return, run_manager=run_manager, acc_output=acc_output - ) - - async def _aiter_next_step( - self, - name_to_tool_map: Dict[str, BaseTool], - color_mapping: Dict[str, str], - inputs: Dict[str, str], - intermediate_steps: List[Tuple[AgentAction, str]], - run_manager: Optional[AsyncCallbackManagerForChainRun] = None, - ) -> AsyncIterator[Union[AgentFinish, AgentAction, AgentStep]]: - """Take a single step in the thought-action-observation loop. - - Override this to take control of how the agent makes and acts on choices. - """ - try: - _inputs = {**{"intermediate_steps": intermediate_steps}, **inputs} - # Call the LLM to see what to do. - output = await self.agent.ainvoke( - _inputs, - config={"callbacks": run_manager.get_child() if run_manager else None}, - ) - except OutputParserException as e: - if isinstance(self.handle_parsing_errors, bool): - raise_error = not self.handle_parsing_errors - else: - raise_error = False - if raise_error: - raise ValueError( - "An output parsing error occurred. " - "In order to pass this error back to the agent and have it try " - "again, pass `handle_parsing_errors=True` to the AgentExecutor. " - f"This is the error: {str(e)}" - ) - text = str(e) - if isinstance(self.handle_parsing_errors, bool): - if e.send_to_llm: - observation = str(e.observation) - text = str(e.llm_output) - else: - observation = "Invalid or incomplete response" - elif isinstance(self.handle_parsing_errors, str): - observation = self.handle_parsing_errors - elif callable(self.handle_parsing_errors): - observation = self.handle_parsing_errors(e) - else: - raise ValueError("Got unexpected type of `handle_parsing_errors`") - output = AgentAction("_Exception", observation, text) - observation = await ExceptionTool().arun( - output.tool_input, - color=None, - callbacks=run_manager.get_child() if run_manager else None, - ) - yield AgentStep(action=output, observation=observation) - return - - # If the tool chosen is the finishing tool, then we end and return. - if isinstance(output, AgentFinish): - yield output - return - - yield output - - if run_manager: - await run_manager.on_agent_action(output, color="green") - # Otherwise we lookup the tool - if output.tool in name_to_tool_map: - tool = name_to_tool_map[output.tool] - color = color_mapping[output.tool] - # We then call the tool on the tool input to get an observation - observation = await tool.arun( - output.tool_input, - color=color, - callbacks=run_manager.get_child() if run_manager else None, - ) - else: - observation = await InvalidTool().arun( - { - "requested_tool_name": output.tool, - "available_tool_names": list(name_to_tool_map.keys()), - }, - color=None, - callbacks=run_manager.get_child() if run_manager else None, - ) - yield AgentStep(action=output, observation=observation) - - async def _astop( - self, - inputs, - intermediate_steps, - run_manager: AsyncCallbackManagerForChainRun, - acc_output: AddableDict, - ) -> AddableDict: - """ - Stop the async iterator and raise a StopAsyncIteration exception with - the stopped response. - """ - logger.warning("Stopping agent prematurely due to triggering stop condition") - output = self.return_stopped_response( - self.early_stopping_method, - intermediate_steps, - **inputs, - ) - return await self._areturn( - output, run_manager=run_manager, acc_output=acc_output - ) - - def _consume_next_step( - self, values: NextStepOutput - ) -> Union[AgentFinish, List[Tuple[AgentAction, str]]]: - if isinstance(values[-1], AgentFinish): - assert len(values) == 1 - return values[-1] - else: - return [ - (a.action, a.observation) for a in values if isinstance(a, AgentStep) - ] - - async def _areturn( - self, - output: AgentFinish, - run_manager: AsyncCallbackManagerForChainRun, - acc_output: AddableDict, - ) -> AddableDict: - """ - Return the final output of the async iterator. - """ - if run_manager: - await run_manager.on_agent_finish(output, color="green") - final_output = AddableDict(output.return_values) - final_output["messages"] = [AIMessage(content=output.log)] - await run_manager.on_chain_end(acc_output + final_output) - return final_output - - async def astream( - self, - input: Union[Dict[str, Any], Any], - config: Optional[RunnableConfig] = None, - **kwargs: Any, - ) -> AsyncIterator[AddableDict]: - """Enables streaming over steps taken to reach final output.""" - config = config or {} - run_name = config.get("run_name") - iterations = 0 - start_time = time.time() - time_elapsed = 0 - intermediate_steps = [] - logger.debug("Initialising AgentExecutorIterator (async)") - callback_manager = AsyncCallbackManager.configure( - inheritable_callbacks=config.get("callbacks"), - inheritable_metadata=config.get("metadata"), - inheritable_tags=config.get("tags"), - ) - run_manager = await callback_manager.on_chain_start( - dumpd(self), - input, - name=run_name, - ) - try: - async with asyncio_timeout(self.max_execution_time): - acc_output = AddableDict() - while self._should_continue(iterations, time_elapsed): - # take the next step: this plans next action, executes it, - # yielding action and observation as they are generated - next_step_seq: NextStepOutput = [] - async for chunk in self._aiter_next_step( - self.name_to_tool_map, - self.color_mapping, - input, - intermediate_steps, - run_manager, - ): - next_step_seq.append(chunk) - # do not yield AgentFinish, which will be handled below - if isinstance(chunk, AgentAction): - if isinstance(chunk, AgentActionMessageLog): - next_output = AddableDict( - actions=[chunk], messages=chunk.message_log - ) - acc_output += next_output - yield next_output - else: - msg = AIMessage( - content=chunk.log, - additional_kwargs={ - "function_call": { - "name": chunk.tool, - "arguments": json.dumps( - {"input": chunk.tool_input} - ), - } - }, - ) - next_output = AddableDict( - actions=[chunk], - messages=[msg], - ) - acc_output += next_output - yield next_output - - elif isinstance(chunk, AgentStep): - next_output = AddableDict( - steps=[chunk], messages=chunk.messages - ) - acc_output += next_output - yield next_output - - # convert iterator output to format handled by _process_next_step - next_step = self._consume_next_step(next_step_seq) - # update iterations and time elapsed - iterations += 1 - time_elapsed = time.time() - start_time - # decide if this is the final output - if output := await self._aprocess_next_step_output( - next_step, intermediate_steps, run_manager, acc_output - ): - yield output - return - except (TimeoutError, asyncio.TimeoutError): - yield await self._astop(input, intermediate_steps, run_manager, acc_output) - return - except BaseException as e: - await run_manager.on_chain_error(e) - raise - - # if we got here means we exhausted iterations or time - yield await self._astop(input, intermediate_steps, run_manager, acc_output) diff --git a/backend/packages/agent-executor/agent_executor/history.py b/backend/packages/agent-executor/agent_executor/history.py deleted file mode 100644 index e451adde..00000000 --- a/backend/packages/agent-executor/agent_executor/history.py +++ /dev/null @@ -1,124 +0,0 @@ -from __future__ import annotations - -import asyncio -from typing import Any, Callable, Dict, List, Optional, Sequence, Type - -from langchain.callbacks.tracers.schemas import Run -from langchain.pydantic_v1 import BaseModel, create_model -from langchain.schema.chat_history import BaseChatMessageHistory -from langchain.schema.messages import BaseMessage -from langchain.schema.runnable.base import Runnable, RunnableLambda -from langchain.schema.runnable.config import RunnableConfig -from langchain.schema.runnable.passthrough import RunnablePassthrough -from langchain.schema.runnable.utils import ( - ConfigurableFieldSpec, - get_unique_config_specs, -) - -from agent_executor.runnables import RunnableBindingBase - - -class RunnableWithMessageHistory(RunnableBindingBase): - factory: Callable[[str], BaseChatMessageHistory] - - input_key: str - - output_key: Optional[str] - history_key: str = "messages" - - def __init__( - self, - runnable: Runnable, - factory: Callable[[str], BaseChatMessageHistory], - input_key: str, - output_key: Optional[str] = None, - history_key: str = "messages", - **kwargs: Any, - ) -> None: - bound = RunnablePassthrough.assign( - **{history_key: RunnableLambda(self._enter_history, self._aenter_history)} - ) | runnable.with_listeners(on_end=self._exit_history) - super().__init__( - factory=factory, - input_key=input_key, - output_key=output_key, - bound=bound, - **kwargs, - ) - - @property - def config_specs(self) -> Sequence[ConfigurableFieldSpec]: - return get_unique_config_specs( - super().config_specs - + [ - ConfigurableFieldSpec( - id="user_id", - annotation=str, - name="User ID", - description=None, - default=None, - ), - ConfigurableFieldSpec( - id="thread_id", - annotation=str, - name="Thread ID", - description=None, - default="", - ), - ] - ) - - def get_input_schema( - self, config: Optional[RunnableConfig] = None - ) -> Type[BaseModel]: - super_schema = super().get_input_schema(config) - if super_schema.__custom_root_type__ is not None: - # The schema is not correct so we'll default to dict with input_key - return create_model( # type: ignore[call-overload] - "RunnableWithChatHistoryInput", - **{self.input_key: (str, ...)}, - ) - else: - return super_schema - - def _enter_history( - self, input: Dict[str, Any], config: RunnableConfig - ) -> List[BaseMessage]: - hist: BaseChatMessageHistory = config["configurable"]["message_history"] - return hist.messages.copy() + [input[self.input_key]] - - async def _aenter_history( - self, input: Dict[str, Any], config: RunnableConfig - ) -> List[BaseMessage]: - return await asyncio.get_running_loop().run_in_executor( - None, self._enter_history, input, config - ) - - def _exit_history(self, run: Run, config: RunnableConfig) -> None: - hist: BaseChatMessageHistory = config["configurable"]["message_history"] - # Add the input message - hist.add_message(run.inputs[self.input_key]) - # Find the output messages - for m in run.outputs[self.output_key]: - hist.add_message(m) - - def _merge_configs(self, *configs: Optional[RunnableConfig]) -> RunnableConfig: - config = super()._merge_configs(*configs) - # extract thread_id - config["configurable"] = config.get("configurable", {}) - try: - thread_id = config["configurable"]["thread_id"] - user_id = config["configurable"].get("user_id") - except KeyError: - example_input = {self.input_key: "foo"} - raise ValueError( - "thread_id is required when using .with_message_history()" - "\nPass it in as part of the config argument to .invoke() or .stream()" - f'\neg. chain.invoke({example_input}, {{"configurable": {{"thread_id":' - ' "123"}})' - ) - # attach message_history - config["configurable"]["message_history"] = self.factory( # type: ignore - session_id=thread_id if user_id is None else f"{user_id}:{thread_id}", - ) - return config diff --git a/backend/packages/agent-executor/agent_executor/runnables.py b/backend/packages/agent-executor/agent_executor/runnables.py deleted file mode 100644 index 1d7033b2..00000000 --- a/backend/packages/agent-executor/agent_executor/runnables.py +++ /dev/null @@ -1,257 +0,0 @@ -"""Temporary code for RunnableBinding. - -This is temporary code for Runnable Binding while it isn't available on released -LangChain. -""" -from __future__ import annotations - -from typing import ( - Any, - AsyncIterator, - Callable, - Iterator, - List, - Mapping, - Optional, - Sequence, - Type, - TypeVar, - Union, - cast, -) - -from langchain.pydantic_v1 import BaseModel, Field -from langchain.schema.runnable import Runnable, RunnableSerializable -from langchain.schema.runnable.config import ( - RunnableConfig, - merge_configs, -) -from langchain.schema.runnable.utils import ( - ConfigurableFieldSpec, - Input, - Output, -) - -Other = TypeVar("Other") - - -class RunnableBindingBase(RunnableSerializable[Input, Output]): - """A runnable that delegates calls to another runnable with a set of kwargs.""" - - bound: Runnable[Input, Output] - - kwargs: Mapping[str, Any] = Field(default_factory=dict) - - config: RunnableConfig = Field(default_factory=dict) - - config_factories: List[Callable[[RunnableConfig], RunnableConfig]] = Field( - default_factory=list - ) - - # Union[Type[Input], BaseModel] + things like List[str] - custom_input_type: Optional[Any] = None - # Union[Type[Output], BaseModel] + things like List[str] - custom_output_type: Optional[Any] = None - - class Config: - arbitrary_types_allowed = True - - def __init__( - self, - *, - bound: Runnable[Input, Output], - kwargs: Optional[Mapping[str, Any]] = None, - config: Optional[RunnableConfig] = None, - config_factories: Optional[ - List[Callable[[RunnableConfig], RunnableConfig]] - ] = None, - custom_input_type: Optional[Union[Type[Input], BaseModel]] = None, - custom_output_type: Optional[Union[Type[Output], BaseModel]] = None, - **other_kwargs: Any, - ) -> None: - config = config or {} - # config_specs contains the list of valid `configurable` keys - if configurable := config.get("configurable", None): - allowed_keys = set(s.id for s in bound.config_specs) - for key in configurable: - if key not in allowed_keys: - raise ValueError( - f"Configurable key '{key}' not found in runnable with" - f" config keys: {allowed_keys}" - ) - super().__init__( - bound=bound, - kwargs=kwargs or {}, - config=config or {}, - config_factories=config_factories or [], - custom_input_type=custom_input_type, - custom_output_type=custom_output_type, - **other_kwargs, - ) - - @property - def InputType(self) -> Type[Input]: - return ( - cast(Type[Input], self.custom_input_type) - if self.custom_input_type is not None - else self.bound.InputType - ) - - @property - def OutputType(self) -> Type[Output]: - return ( - cast(Type[Output], self.custom_output_type) - if self.custom_output_type is not None - else self.bound.OutputType - ) - - def get_input_schema( - self, config: Optional[RunnableConfig] = None - ) -> Type[BaseModel]: - if self.custom_input_type is not None: - return super().get_input_schema(config) - return self.bound.get_input_schema(merge_configs(self.config, config)) - - def get_output_schema( - self, config: Optional[RunnableConfig] = None - ) -> Type[BaseModel]: - if self.custom_output_type is not None: - return super().get_output_schema(config) - return self.bound.get_output_schema(merge_configs(self.config, config)) - - @property - def config_specs(self) -> Sequence[ConfigurableFieldSpec]: - return self.bound.config_specs - - @classmethod - def is_lc_serializable(cls) -> bool: - return True - - @classmethod - def get_lc_namespace(cls) -> List[str]: - return cls.__module__.split(".")[:-1] - - def _merge_configs(self, *configs: Optional[RunnableConfig]) -> RunnableConfig: - config = merge_configs(self.config, *configs) - return merge_configs(config, *(f(config) for f in self.config_factories)) - - def invoke( - self, - input: Input, - config: Optional[RunnableConfig] = None, - **kwargs: Optional[Any], - ) -> Output: - return self.bound.invoke( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ) - - async def ainvoke( - self, - input: Input, - config: Optional[RunnableConfig] = None, - **kwargs: Optional[Any], - ) -> Output: - return await self.bound.ainvoke( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ) - - def batch( - self, - inputs: List[Input], - config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, - *, - return_exceptions: bool = False, - **kwargs: Optional[Any], - ) -> List[Output]: - if isinstance(config, list): - configs = cast( - List[RunnableConfig], - [self._merge_configs(conf) for conf in config], - ) - else: - configs = [self._merge_configs(config) for _ in range(len(inputs))] - return self.bound.batch( - inputs, - configs, - return_exceptions=return_exceptions, - **{**self.kwargs, **kwargs}, - ) - - async def abatch( - self, - inputs: List[Input], - config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None, - *, - return_exceptions: bool = False, - **kwargs: Optional[Any], - ) -> List[Output]: - if isinstance(config, list): - configs = cast( - List[RunnableConfig], - [self._merge_configs(conf) for conf in config], - ) - else: - configs = [self._merge_configs(config) for _ in range(len(inputs))] - return await self.bound.abatch( - inputs, - configs, - return_exceptions=return_exceptions, - **{**self.kwargs, **kwargs}, - ) - - def stream( - self, - input: Input, - config: Optional[RunnableConfig] = None, - **kwargs: Optional[Any], - ) -> Iterator[Output]: - yield from self.bound.stream( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ) - - async def astream( - self, - input: Input, - config: Optional[RunnableConfig] = None, - **kwargs: Optional[Any], - ) -> AsyncIterator[Output]: - async for item in self.bound.astream( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ): - yield item - - def transform( - self, - input: Iterator[Input], - config: Optional[RunnableConfig] = None, - **kwargs: Any, - ) -> Iterator[Output]: - yield from self.bound.transform( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ) - - async def atransform( - self, - input: AsyncIterator[Input], - config: Optional[RunnableConfig] = None, - **kwargs: Any, - ) -> AsyncIterator[Output]: - async for item in self.bound.atransform( - input, - self._merge_configs(config), - **{**self.kwargs, **kwargs}, - ): - yield item - - -RunnableBindingBase.update_forward_refs(RunnableConfig=RunnableConfig) From 56659781ab8e41bafe18fb5db1aa68896cbe0136 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 16 Nov 2023 13:42:25 +0000 Subject: [PATCH 12/31] WIP Stream message tokens --- backend/app/server.py | 127 +++++++++++++++++- backend/app/storage.py | 6 + backend/app/stream.py | 82 +++++++++++ .../gizmo_agent/agent_types/openai.py | 5 +- frontend/src/App.tsx | 10 +- frontend/src/components/Message.tsx | 10 +- frontend/src/hooks/useStreamState.tsx | 13 +- frontend/vite.config.ts | 2 +- 8 files changed, 237 insertions(+), 18 deletions(-) create mode 100644 backend/app/stream.py diff --git a/backend/app/server.py b/backend/app/server.py index 193bcce8..a1f09ede 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -1,15 +1,26 @@ +import asyncio +import json from pathlib import Path -from typing import Annotated, Optional +from typing import Annotated, AsyncIterator, Optional, Sequence +from fastapi.exceptions import RequestValidationError import orjson -from fastapi import Cookie, FastAPI, Form, Request, UploadFile +from fastapi import BackgroundTasks, Cookie, FastAPI, Form, Request, UploadFile from fastapi.staticfiles import StaticFiles from gizmo_agent import agent, ingest_runnable +from langserve.callbacks import AsyncEventAggregatorCallback +from langchain.pydantic_v1 import ValidationError +from langchain.schema.messages import AnyMessage from langchain.schema.runnable import RunnableConfig from langserve import add_routes +from langserve.server import _get_base_run_id_as_str, _unpack_input +from langserve.serialization import WellKnownLCSerializer +from pydantic import BaseModel +from sse_starlette import EventSourceResponse from typing_extensions import TypedDict from app.storage import ( + get_assistant, get_thread_messages, list_assistants, list_public_assistants, @@ -17,6 +28,7 @@ put_assistant, put_thread, ) +from app.stream import StreamMessagesHandler app = FastAPI() @@ -45,6 +57,117 @@ def attach_user_id_to_config( enable_feedback_endpoint=True, ) +serializer = WellKnownLCSerializer() + + +class AgentInput(BaseModel): + messages: Sequence[AnyMessage] + + +class CreateRunPayload(BaseModel): + assistant_id: str + thread_id: str + stream: bool + # TODO make optional + input: AgentInput + + +@app.post("/runs") +async def create_run_endpoint( + request: Request, + opengpts_user_id: Annotated[str, Cookie()], + background_tasks: BackgroundTasks, +): + try: + body = await request.json() + except json.JSONDecodeError: + raise RequestValidationError(errors=["Invalid JSON body"]) + assistant, state = await asyncio.gather( + asyncio.get_running_loop().run_in_executor( + None, get_assistant, opengpts_user_id, body["assistant_id"] + ), + asyncio.get_running_loop().run_in_executor( + None, get_thread_messages, opengpts_user_id, body["thread_id"] + ), + ) + config: RunnableConfig = attach_user_id_to_config( + { + **assistant["config"], + "configurable": { + **assistant["config"]["configurable"], + "thread_id": body["thread_id"], + "assistant_id": body["assistant_id"], + }, + }, + request, + ) + try: + input_ = _unpack_input(agent.get_input_schema(config).validate(body["input"])) + except ValidationError as e: + raise RequestValidationError(e.errors(), body=body) + if body["stream"]: + streamer = StreamMessagesHandler(state["messages"] + input_["messages"]) + event_aggregator = AsyncEventAggregatorCallback() + config["callbacks"] = [streamer, event_aggregator] + + # Call the runnable in streaming mode, + # add each chunk to the output stream + async def consume_astream() -> None: + try: + async for chunk in agent.astream(input_, config): + await streamer.send_stream.send(chunk) + except Exception as e: + await streamer.send_stream.send(e) + finally: + await streamer.send_stream.aclose() + + # Start the runnable in the background + task = asyncio.create_task(consume_astream()) + + # Consume the stream into an EventSourceResponse + async def _stream() -> AsyncIterator[dict]: + has_sent_metadata = False + + async for chunk in streamer.receive_stream: + if isinstance(chunk, BaseException): + 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(), + } + raise chunk + else: + if not has_sent_metadata and event_aggregator.callback_events: + yield { + "event": "metadata", + "data": orjson.dumps( + {"run_id": _get_base_run_id_as_str(event_aggregator)} + ).decode(), + } + has_sent_metadata = True + + yield { + # EventSourceResponse expects a string for data + # so after serializing into bytes, we decode into utf-8 + # to get a string. + "data": serializer.dumps(chunk).decode("utf-8"), + "event": "data", + } + + # Send an end event to signal the end of the stream + yield {"event": "end"} + # Wait for the runnable to finish + await task + + return EventSourceResponse(_stream()) + else: + background_tasks.add_task(agent.ainvoke, input_, config) + return {"status": "ok"} # TODO add a run id + @app.post("/ingest") def ingest_endpoint(files: list[UploadFile], config: str = Form(...)): diff --git a/backend/app/storage.py b/backend/app/storage.py index 786d96a9..b5fab2c2 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -57,6 +57,12 @@ def list_assistants(user_id: str): return [load(assistant_hash_keys, values) for values in assistants] +def get_assistant(user_id: str, assistant_id: str): + client = _get_redis_client() + values = client.hmget(assistant_key(user_id, assistant_id), *assistant_hash_keys) + return load(assistant_hash_keys, values) + + def list_public_assistants(assistant_ids: list[str]): if not assistant_ids: return [] diff --git a/backend/app/stream.py b/backend/app/stream.py new file mode 100644 index 00000000..0cda436d --- /dev/null +++ b/backend/app/stream.py @@ -0,0 +1,82 @@ +import math +from typing import Any, Dict, Optional, Sequence, Union +from uuid import UUID + +from anyio import create_memory_object_stream +from langchain.callbacks.base import BaseCallbackHandler +from langchain.schema.output import ChatGenerationChunk, GenerationChunk +from langchain.schema.messages import ( + BaseMessage, + BaseMessageChunk, + AIMessageChunk, + HumanMessageChunk, + HumanMessage, + AIMessage, + FunctionMessage, + FunctionMessageChunk, + ChatMessage, + ChatMessageChunk, +) + + +class StreamMessagesHandler(BaseCallbackHandler): + def __init__(self, messages: Sequence[BaseMessage]) -> None: + self.messages = messages + self.output: Dict[UUID, ChatGenerationChunk] = {} + send_stream, receive_stream = create_memory_object_stream( + math.inf, item_type=dict | Exception + ) + self.send_stream = send_stream + self.receive_stream = receive_stream + + def on_llm_new_token( + self, + token: str, + *, + chunk: Optional[Union[GenerationChunk, ChatGenerationChunk]] = None, + run_id: UUID, + **kwargs: Any, + ) -> Any: + # If this is being called for a non-Chat Model run, convert to AIMessage + if chunk is None: + chunk = ChatGenerationChunk(message=AIMessageChunk(content=token)) + # If we get something we don't know how to handle, ignore it + if not ( + isinstance(chunk, ChatGenerationChunk) + or isinstance(chunk, BaseMessageChunk) + ): + return + # Convert messages to ChatGenerationChunks (workaround for old langchahin) + if isinstance(chunk, BaseMessageChunk): + chunk = ChatGenerationChunk(message=chunk) + # Accumulate the output (ChatGenerationChunk implements __add__) + if not self.output.get(run_id): + self.output[run_id] = chunk + else: + self.output[run_id] += chunk + # Send the messages to the stream + self.send_stream.send_nowait( + { + "messages": ( + self.messages + + [ + map_chunk_to_msg(chunk.message) + for chunk in self.output.values() + ] + ) + } + ) + + +def map_chunk_to_msg(chunk: BaseMessageChunk) -> BaseMessage: + args = {k: v for k, v in chunk.__dict__.items() if k != "type"} + if isinstance(chunk, HumanMessageChunk): + return HumanMessage(**args) + elif isinstance(chunk, AIMessageChunk): + return AIMessage(**args) + elif isinstance(chunk, FunctionMessageChunk): + return FunctionMessage(**args) + elif isinstance(chunk, ChatMessageChunk): + return ChatMessage(**args) + else: + raise ValueError(f"Unknown chunk type: {chunk}") diff --git a/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py b/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py index 2f14c03c..0e6c2a98 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py +++ b/backend/packages/gizmo-agent/gizmo_agent/agent_types/openai.py @@ -11,9 +11,9 @@ def get_openai_function_agent( ): if not azure: if gpt_4: - llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0) + llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0, streaming=True) else: - llm = ChatOpenAI(model="gpt-3.5-turbo-1106", temperature=0) + llm = ChatOpenAI(model="gpt-3.5-turbo-1106", temperature=0, streaming=True) else: llm = AzureChatOpenAI( temperature=0, @@ -21,6 +21,7 @@ def get_openai_function_agent( openai_api_base=os.environ["AZURE_OPENAI_API_BASE"], openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"], openai_api_key=os.environ["AZURE_OPENAI_API_KEY"], + streaming=True, ) prompt = ChatPromptTemplate.from_messages( [ diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index 088ffabe..06e3edf9 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -34,14 +34,8 @@ function App() { }, ], }, - { - ...config, - configurable: { - ...config.configurable, - thread_id: chat.thread_id, - assistant_id: chat.assistant_id, - }, - } + chat.assistant_id, + chat.thread_id ); }, [currentChat, startStream, configs] diff --git a/frontend/src/components/Message.tsx b/frontend/src/components/Message.tsx index 86e58f75..02d4bb84 100644 --- a/frontend/src/components/Message.tsx +++ b/frontend/src/components/Message.tsx @@ -7,6 +7,14 @@ import DOMPurify from "dompurify"; import { ChevronDownIcon } from "@heroicons/react/24/outline"; import { LangSmithActions } from "./LangSmithActions"; +function tryJsonParse(value: string) { + try { + return JSON.parse(value); + } catch (e) { + return {}; + } +} + function Function(props: { call: boolean; name?: string; @@ -48,7 +56,7 @@ function Function(props: {
- {Object.entries(JSON.parse(props.args)).map( + {Object.entries(tryJsonParse(props.args)).map( ([key, value], i) => ( ${n}`),`
Promise; stopStream?: (clear?: boolean) => void; } @@ -23,16 +24,20 @@ export function useStreamState(): StreamStateProps { const [controller, setController] = useState(null); const startStream = useCallback( - async (input: { messages: Message[] }, config: unknown) => { + async ( + input: { messages: Message[] }, + assistant_id: string, + thread_id: string + ) => { const controller = new AbortController(); setController(controller); setCurrent({ status: "inflight", messages: input.messages, merge: true }); - await fetchEventSource("/stream", { + await fetchEventSource("/runs", { signal: controller.signal, method: "POST", headers: { "Content-Type": "application/json" }, - body: JSON.stringify({ input, config }), + body: JSON.stringify({ input, assistant_id, thread_id, stream: true }), onmessage(msg) { if (msg.event === "data") { const { messages } = JSON.parse(msg.data); diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts index cd3b84f1..785eb90f 100644 --- a/frontend/vite.config.ts +++ b/frontend/vite.config.ts @@ -6,7 +6,7 @@ export default defineConfig({ plugins: [react()], server: { proxy: { - "^/(config_schema|input_schema|stream|assistants|threads|ingest|feedback)": + "^/(config_schema|input_schema|stream|assistants|threads|ingest|feedback|runs)": { target: "http://127.0.0.1:8100", changeOrigin: true, From 226b5608e5e954baa146074f6a7c254c57ad0572 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Thu, 16 Nov 2023 13:59:06 +0000 Subject: [PATCH 13/31] Hack for function messages --- backend/app/server.py | 9 ++++++++- backend/app/stream.py | 2 ++ 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/backend/app/server.py b/backend/app/server.py index a1f09ede..ca1e63de 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -2,6 +2,7 @@ import json from pathlib import Path from typing import Annotated, AsyncIterator, Optional, Sequence +from uuid import uuid4 from fastapi.exceptions import RequestValidationError import orjson @@ -10,7 +11,8 @@ from gizmo_agent import agent, ingest_runnable from langserve.callbacks import AsyncEventAggregatorCallback from langchain.pydantic_v1 import ValidationError -from langchain.schema.messages import AnyMessage +from langchain.schema.messages import AnyMessage, FunctionMessage +from langchain.schema.output import ChatGeneration from langchain.schema.runnable import RunnableConfig from langserve import add_routes from langserve.server import _get_base_run_id_as_str, _unpack_input @@ -116,6 +118,11 @@ async def consume_astream() -> None: try: async for chunk in agent.astream(input_, config): await streamer.send_stream.send(chunk) + # hack: function messages aren't generated by chat model + # so the callback handler doesn't know about them + message = chunk["messages"][-1] + if isinstance(message, FunctionMessage): + streamer.output[uuid4()] = ChatGeneration(message=message) except Exception as e: await streamer.send_stream.send(e) finally: diff --git a/backend/app/stream.py b/backend/app/stream.py index 0cda436d..96af0af6 100644 --- a/backend/app/stream.py +++ b/backend/app/stream.py @@ -69,6 +69,8 @@ def on_llm_new_token( def map_chunk_to_msg(chunk: BaseMessageChunk) -> BaseMessage: + if not isinstance(chunk, BaseMessageChunk): + return chunk args = {k: v for k, v in chunk.__dict__.items() if k != "type"} if isinstance(chunk, HumanMessageChunk): return HumanMessage(**args) From 65c1b20d8e52cbf5a8cd40c6e3dc1999381df58e Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Fri, 17 Nov 2023 16:19:10 +0000 Subject: [PATCH 14/31] Small updates to schemas --- backend/app/server.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/backend/app/server.py b/backend/app/server.py index ca1e63de..f5d41cc3 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -228,7 +228,7 @@ def get_thread_messages_endpoint(opengpts_user_id: Annotated[str, Cookie()], tid class ThreadPayload(TypedDict): name: str - assistant_id: str + assistant_id: Optional[str] @app.put("/threads/{tid}") @@ -238,7 +238,7 @@ def put_thread_endpoint( return put_thread( opengpts_user_id, tid, - assistant_id=payload["assistant_id"], + assistant_id=payload.get("assistant_id"), name=payload["name"], ) From 9dab4c84255277afbb398d374ab825f22151ffcb Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 17 Nov 2023 13:29:30 -0500 Subject: [PATCH 15/31] Add partial validation --- backend/app/schema.py | 43 ++ backend/app/server.py | 113 +++- backend/app/storage.py | 57 +- .../agent-executor/agent_executor/upload.py | 8 + backend/poetry.lock | 521 +++++++++--------- backend/pyproject.toml | 3 +- backend/tests/unit_tests/app/test_app.py | 4 +- backend/tests/unit_tests/conftest.py | 1 + 8 files changed, 444 insertions(+), 306 deletions(-) create mode 100644 backend/app/schema.py diff --git a/backend/app/schema.py b/backend/app/schema.py new file mode 100644 index 00000000..e96dbc01 --- /dev/null +++ b/backend/app/schema.py @@ -0,0 +1,43 @@ +from datetime import datetime + +from typing_extensions import TypedDict + + +class AssistantWithoutUserId(TypedDict): + """Assistant model.""" + + assistant_id: str + """The ID of the assistant.""" + name: str + """The name of the assistant.""" + config: dict + """The assistant config.""" + updated_at: datetime + """The last time the assistant was updated.""" + public: bool + """Whether the assistant is public.""" + + +class Assistant(AssistantWithoutUserId): + """Assistant model.""" + + user_id: str + """The ID of the user that owns the assistant.""" + + +class ThreadWithoutUserId(TypedDict): + thread_id: str + """The ID of the thread.""" + assistant_id: str + """The assistant that was used in conjunction with this thread.""" + name: str + """The name of the thread.""" + updated_at: datetime + """The last time the thread was updated.""" + + +class Thread(ThreadWithoutUserId): + """Thread model.""" + + user_id: str + """The ID of the user that owns the thread.""" diff --git a/backend/app/server.py b/backend/app/server.py index ca1e63de..af78f08f 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -1,26 +1,26 @@ import asyncio import json from pathlib import Path -from typing import Annotated, AsyncIterator, Optional, Sequence +from typing import Annotated, AsyncIterator, List, Optional, Sequence from uuid import uuid4 -from fastapi.exceptions import RequestValidationError import orjson -from fastapi import BackgroundTasks, Cookie, FastAPI, Form, Request, UploadFile +from fastapi import BackgroundTasks, Cookie, FastAPI, Form, Query, Request, UploadFile +from fastapi.exceptions import RequestValidationError from fastapi.staticfiles import StaticFiles from gizmo_agent import agent, ingest_runnable -from langserve.callbacks import AsyncEventAggregatorCallback from langchain.pydantic_v1 import ValidationError from langchain.schema.messages import AnyMessage, FunctionMessage from langchain.schema.output import ChatGeneration from langchain.schema.runnable import RunnableConfig from langserve import add_routes -from langserve.server import _get_base_run_id_as_str, _unpack_input +from langserve.callbacks import AsyncEventAggregatorCallback from langserve.serialization import WellKnownLCSerializer -from pydantic import BaseModel +from langserve.server import _get_base_run_id_as_str, _unpack_input +from pydantic import BaseModel, Field from sse_starlette import EventSourceResponse -from typing_extensions import TypedDict +from app.schema import Assistant, AssistantWithoutUserId, Thread, ThreadWithoutUserId from app.storage import ( get_assistant, get_thread_messages, @@ -42,11 +42,32 @@ # Get root of app, used to point to directory containing static files ROOT = Path(__file__).parent.parent +OpengptsUserId = Annotated[ + str, + Cookie( + description=( + "A cookie that identifies the user. This is not an authentication " + "mechanism that should be used in an actual production environment that " + "contains sensitive information." + ) + ), +] + def attach_user_id_to_config( config: RunnableConfig, request: Request, ) -> RunnableConfig: + """Attach the user id to the runnable config. + + Args: + config: The runnable config. + request: The request. + + Returns: + A modified runnable config that contains information about the user + who made the request in the `configurable.user_id` field. + """ config["configurable"]["user_id"] = request.cookies["opengpts_user_id"] return config @@ -63,10 +84,14 @@ def attach_user_id_to_config( class AgentInput(BaseModel): + """An input into an agent.""" + messages: Sequence[AnyMessage] class CreateRunPayload(BaseModel): + """Payload for creating a run.""" + assistant_id: str thread_id: str stream: bool @@ -80,6 +105,7 @@ async def create_run_endpoint( opengpts_user_id: Annotated[str, Cookie()], background_tasks: BackgroundTasks, ): + """Create a run.""" try: body = await request.json() except json.JSONDecodeError: @@ -176,70 +202,97 @@ async def _stream() -> AsyncIterator[dict]: return {"status": "ok"} # TODO add a run id -@app.post("/ingest") -def ingest_endpoint(files: list[UploadFile], config: str = Form(...)): +@app.post("/ingest", description="Upload files to the given user.") +def ingest_endpoint(files: list[UploadFile], config: str = Form(...)) -> None: + """Ingest a list of files.""" config = orjson.loads(config) return ingest_runnable.batch([file.file for file in files], config) @app.get("/assistants/") -def list_assistants_endpoint(opengpts_user_id: Annotated[str, Cookie()]): +def list_assistants_endpoint( + opengpts_user_id: OpengptsUserId +) -> List[AssistantWithoutUserId]: """List all assistants for the current user.""" return list_assistants(opengpts_user_id) @app.get("/assistants/public/") -def list_public_assistants_endpoint(shared_id: Optional[str] = None): +def list_public_assistants_endpoint( + shared_id: Annotated[ + Optional[str], Query(description="ID of a publicly shared assistant.") + ] = None, +) -> List[AssistantWithoutUserId]: + """List all public assistants.""" return list_public_assistants( FEATURED_PUBLIC_ASSISTANTS + ([shared_id] if shared_id else []) ) -class AssistantPayload(TypedDict): - name: str - config: dict - public: bool +class AssistantPayload(BaseModel): + """Payload for creating an assistant.""" + + name: str = Field(..., description="The name of the assistant.") + config: dict = Field(..., description="The assistant config.") + public: bool = Field(default=False, description="Whether the assistant is public.") + + +AssistantID = Annotated[str, Path(description="The ID of the assistant.")] +ThreadID = Annotated[str, Path(description="The ID of the thread.")] @app.put("/assistants/{aid}") def put_assistant_endpoint( - aid: str, - payload: AssistantPayload, opengpts_user_id: Annotated[str, Cookie()], -): + aid: AssistantID, + payload: AssistantPayload, +) -> Assistant: + """Create or update an assistant.""" return put_assistant( opengpts_user_id, aid, - name=payload["name"], - config=payload["config"], - public=payload["public"], + name=payload.name, + config=payload.config, + public=payload.public, ) @app.get("/threads/") -def list_threads_endpoint(opengpts_user_id: Annotated[str, Cookie()]): +def list_threads_endpoint( + opengpts_user_id: OpengptsUserId +) -> List[ThreadWithoutUserId]: + """List all threads for the current user.""" return list_threads(opengpts_user_id) @app.get("/threads/{tid}/messages") -def get_thread_messages_endpoint(opengpts_user_id: Annotated[str, Cookie()], tid: str): +def get_thread_messages_endpoint( + opengpts_user_id: OpengptsUserId, + tid: ThreadID, +): + """Get all messages for a thread.""" return get_thread_messages(opengpts_user_id, tid) -class ThreadPayload(TypedDict): - name: str - assistant_id: str +class ThreadPutRequest(BaseModel): + """Payload for creating a thread.""" + + name: str = Field(..., description="The name of the thread.") + assistant_id: str = Field(..., description="The ID of the assistant to use.") @app.put("/threads/{tid}") def put_thread_endpoint( - opengpts_user_id: Annotated[str, Cookie()], tid: str, payload: ThreadPayload -): + opengpts_user_id: OpengptsUserId, + tid: ThreadID, + thread_put_request: ThreadPutRequest, +) -> Thread: + """Update a thread.""" return put_thread( opengpts_user_id, tid, - assistant_id=payload["assistant_id"], - name=payload["name"], + assistant_id=thread_put_request.assistant_id, + name=thread_put_request.name, ) diff --git a/backend/app/storage.py b/backend/app/storage.py index b5fab2c2..9a39bb01 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -1,28 +1,31 @@ import os from datetime import datetime +from typing import List, Sequence import orjson +from agent_executor.checkpoint import RedisCheckpoint from langchain.schema.messages import AnyMessage from langchain.utilities.redis import get_client -from agent_executor.checkpoint import RedisCheckpoint -from permchain.channels.base import ChannelsManager from permchain.channels import Topic +from permchain.channels.base import ChannelsManager from redis.client import Redis as RedisType +from app.schema import Assistant, AssistantWithoutUserId, Thread, ThreadWithoutUserId + -def assistants_list_key(user_id: str): +def assistants_list_key(user_id: str) -> str: return f"opengpts:{user_id}:assistants" -def assistant_key(user_id: str, assistant_id: str): +def assistant_key(user_id: str, assistant_id: str) -> str: return f"opengpts:{user_id}:assistant:{assistant_id}" -def threads_list_key(user_id: str): +def threads_list_key(user_id: str) -> str: return f"opengpts:{user_id}:threads" -def thread_key(user_id: str, thread_id: str): +def thread_key(user_id: str, thread_id: str) -> str: return f"opengpts:{user_id}:thread:{thread_id}" @@ -47,7 +50,8 @@ def _get_redis_client() -> RedisType: return get_client(url) -def list_assistants(user_id: str): +def list_assistants(user_id: str) -> List[Assistant]: + """List all assistants for the current user.""" client = _get_redis_client() ids = [orjson.loads(id) for id in client.smembers(assistants_list_key(user_id))] with client.pipeline() as pipe: @@ -57,13 +61,17 @@ def list_assistants(user_id: str): return [load(assistant_hash_keys, values) for values in assistants] -def get_assistant(user_id: str, assistant_id: str): +def get_assistant(user_id: str, assistant_id: str) -> Assistant: + """Get an assistant by ID.""" client = _get_redis_client() values = client.hmget(assistant_key(user_id, assistant_id), *assistant_hash_keys) return load(assistant_hash_keys, values) -def list_public_assistants(assistant_ids: list[str]): +def list_public_assistants( + assistant_ids: Sequence[str] +) -> List[AssistantWithoutUserId]: + """List all the public assistants.""" if not assistant_ids: return [] client = _get_redis_client() @@ -87,10 +95,22 @@ def list_public_assistants(assistant_ids: list[str]): def put_assistant( user_id: str, assistant_id: str, *, name: str, config: dict, public: bool = False -): - saved = { - "user_id": user_id, - "assistant_id": assistant_id, +) -> Assistant: + """Modify 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. + """ + saved: Assistant = { + "user_id": user_id, # TODO(Nuno): Could we remove this? + "assistant_id": assistant_id, # TODO(Nuno): remove this? "name": name, "config": config, "updated_at": datetime.utcnow(), @@ -107,7 +127,8 @@ def put_assistant( return saved -def list_threads(user_id: str): +def list_threads(user_id: str) -> List[ThreadWithoutUserId]: + """List all threads for the current user.""" client = _get_redis_client() ids = [orjson.loads(id) for id in client.smembers(threads_list_key(user_id))] with client.pipeline() as pipe: @@ -118,6 +139,7 @@ def list_threads(user_id: str): def get_thread_messages(user_id: str, thread_id: str): + """Get all messages for a thread.""" client = RedisCheckpoint() checkpoint = client.get( {"configurable": {"user_id": user_id, "thread_id": thread_id}} @@ -130,9 +152,10 @@ def get_thread_messages(user_id: str, thread_id: str): return {k: v.get() for k, v in channels.items()} -def put_thread(user_id: str, thread_id: str, *, assistant_id: str, name: str): - saved = { - "user_id": user_id, +def put_thread(user_id: str, thread_id: str, *, assistant_id: str, name: str) -> Thread: + """Modify a thread.""" + saved: Thread = { + "user_id": user_id, # TODO(Nuno): Could we remove this? "thread_id": thread_id, "assistant_id": assistant_id, "name": name, diff --git a/backend/packages/agent-executor/agent_executor/upload.py b/backend/packages/agent-executor/agent_executor/upload.py index b0d90218..515548bd 100644 --- a/backend/packages/agent-executor/agent_executor/upload.py +++ b/backend/packages/agent-executor/agent_executor/upload.py @@ -46,9 +46,17 @@ def _convert_ingestion_input_to_blob(data: BinaryIO) -> Blob: class IngestRunnable(RunnableSerializable[BinaryIO, List[str]]): + """Runnable for ingesting files into a vectorstore.""" + text_splitter: TextSplitter + """Text splitter to use for splitting the text into chunks.""" vectorstore: VectorStore + """Vectorstore to ingest into.""" assistant_id: Optional[str] + """Ingested documents will be associated with this assistant id. + + The assistant ID is used as the namespace, and is filtered on at query time. + """ class Config: arbitrary_types_allowed = True diff --git a/backend/poetry.lock b/backend/poetry.lock index 2d2173ad..dac95820 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -279,17 +279,17 @@ lxml = ["lxml"] [[package]] name = "boto3" -version = "1.28.84" +version = "1.29.2" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.7" files = [ - {file = "boto3-1.28.84-py3-none-any.whl", hash = "sha256:98b01bbea27740720a06f7c7bc0132ae4ce902e640aab090cfb99ad3278449c3"}, - {file = "boto3-1.28.84.tar.gz", hash = "sha256:adfb915958d7b54d876891ea1599dd83189e35a2442eb41ca52b04ea716180b6"}, + {file = "boto3-1.29.2-py3-none-any.whl", hash = "sha256:6617ac176efb21485ebc3a058a3a97feb1300141421ae3d1809562c4cac1d5f9"}, + {file = "boto3-1.29.2.tar.gz", hash = "sha256:f3024bba9ac980007ba7b5f28a9734d111fb5466e2426ac76c5edbd6dedd8db2"}, ] [package.dependencies] -botocore = ">=1.31.84,<1.32.0" +botocore = ">=1.32.2,<1.33.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.7.0,<0.8.0" @@ -298,13 +298,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.31.84" +version = "1.32.2" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">= 3.7" files = [ - {file = "botocore-1.31.84-py3-none-any.whl", hash = "sha256:d65bc05793d1a8a8c191a739f742876b4b403c5c713dc76beef262d18f7984a2"}, - {file = "botocore-1.31.84.tar.gz", hash = "sha256:8913bedb96ad0427660dee083aeaa675466eb662bbf1a47781956b5882aadcc5"}, + {file = "botocore-1.32.2-py3-none-any.whl", hash = "sha256:a68a33193d8cd59e3b2142bff632e562afc02f9c4417e3dcc81a6e1b1f47148e"}, + {file = "botocore-1.32.2.tar.gz", hash = "sha256:0e231524e9b72169fe0b8d9310f47072c245fb712778e0669f53f264f0e49536"}, ] [package.dependencies] @@ -316,7 +316,7 @@ urllib3 = [ ] [package.extras] -crt = ["awscrt (==0.19.10)"] +crt = ["awscrt (==0.19.12)"] [[package]] name = "brotli" @@ -803,13 +803,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "dataclasses-json" -version = "0.6.1" +version = "0.6.2" description = "Easily serialize dataclasses to and from JSON." optional = false python-versions = ">=3.7,<4.0" files = [ - {file = "dataclasses_json-0.6.1-py3-none-any.whl", hash = "sha256:1bd8418a61fe3d588bb0079214d7fb71d44937da40742b787256fd53b26b6c80"}, - {file = "dataclasses_json-0.6.1.tar.gz", hash = "sha256:a53c220c35134ce08211a1057fd0e5bf76dc5331627c6b241cacbc570a89faae"}, + {file = "dataclasses_json-0.6.2-py3-none-any.whl", hash = "sha256:71816ced3d0f55a2c5bc1a813ace1b8d4234e79a08744269a7cf84d6f7c06e99"}, + {file = "dataclasses_json-0.6.2.tar.gz", hash = "sha256:1b934c1bd63e775880946b8361a902d7de86e894bab8098eab27c010f95724d1"}, ] [package.dependencies] @@ -856,19 +856,19 @@ files = [ [[package]] name = "duckduckgo-search" -version = "3.9.4" +version = "3.9.5" description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine." optional = false python-versions = ">=3.8" files = [ - {file = "duckduckgo_search-3.9.4-py3-none-any.whl", hash = "sha256:06004982952feb2c65927840ebf3d186498bce2390f208be7726f5f82675f3db"}, - {file = "duckduckgo_search-3.9.4.tar.gz", hash = "sha256:ce140bf005ff147b5f7f02ef893e575527487db8f689dfccc86c7d4519b95a9b"}, + {file = "duckduckgo_search-3.9.5-py3-none-any.whl", hash = "sha256:d96e97beeaa89da04ac84f425319a89ece625e834913953fa56a64c6295d1ad6"}, + {file = "duckduckgo_search-3.9.5.tar.gz", hash = "sha256:63eb56e544f2e9812d09f37b2d7851f9cb00948acba4892241f976358813bd2e"}, ] [package.dependencies] aiofiles = ">=23.2.1" click = ">=8.1.7" -httpx = {version = ">=0.25.0", extras = ["brotli", "http2", "socks"]} +httpx = {version = ">=0.25.1", extras = ["brotli", "http2", "socks"]} lxml = ">=4.9.3" [package.extras] @@ -1207,13 +1207,13 @@ files = [ [[package]] name = "httpcore" -version = "1.0.1" +version = "1.0.2" description = "A minimal low-level HTTP client." optional = false python-versions = ">=3.8" files = [ - {file = "httpcore-1.0.1-py3-none-any.whl", hash = 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python-multipart = "^0.0.6" tiktoken = "^0.5.1" langchain = "^0.0.335" -python-magic = "^0.4.27" -permchain = {path = "../../permchain", develop = true} +permchain = { git = "git@github.com:langchain-ai/permchain.git/", branch = "main"} [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/backend/tests/unit_tests/app/test_app.py b/backend/tests/unit_tests/app/test_app.py index c38d156f..ab7879ee 100644 --- a/backend/tests/unit_tests/app/test_app.py +++ b/backend/tests/unit_tests/app/test_app.py @@ -109,7 +109,7 @@ async def test_list_and_create_assistants(redis_client: RedisType) -> None: # Check not visible to other users headers = {"Cookie": "opengpts_user_id=2"} response = await client.get("/assistants/", headers=headers) - assert response.status_code == 200 + assert response.status_code == 200, response.text assert response.json() == [] @@ -122,7 +122,7 @@ async def test_threads(redis_client: RedisType) -> None: json={"name": "bobby", "assistant_id": "bobby"}, 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"git@github.com:langchain-ai/permchain.git/", branch = "main"} +permchain = "^0.0.5" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" From 939106596db672cad13323236d5b9fc4326348b5 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 11:31:10 +0000 Subject: [PATCH 17/31] Reorganize api --- backend/app/api/__init__.py | 23 ++ backend/app/api/assistants.py | 59 ++++ backend/app/api/runs.py | 200 ++++++++++++ backend/app/api/threads.py | 51 ++++ backend/app/schema.py | 14 + backend/app/server.py | 284 +----------------- backend/app/storage.py | 4 +- backend/app/stream.py | 14 +- .../agent_executor/permchain.py | 10 +- .../packages/gizmo-agent/gizmo_agent/main.py | 2 +- .../packages/gizmo-agent/gizmo_agent/tools.py | 4 +- backend/poetry.lock | 36 ++- backend/pyproject.toml | 6 +- frontend/src/hooks/useSchemas.ts | 18 +- frontend/vite.config.ts | 11 +- 15 files changed, 404 insertions(+), 332 deletions(-) create mode 100644 backend/app/api/__init__.py create mode 100644 backend/app/api/assistants.py create mode 100644 backend/app/api/runs.py create mode 100644 backend/app/api/threads.py diff --git a/backend/app/api/__init__.py b/backend/app/api/__init__.py new file mode 100644 index 00000000..25ecacf2 --- /dev/null +++ b/backend/app/api/__init__.py @@ -0,0 +1,23 @@ +from fastapi import APIRouter + +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 + +router = APIRouter() + +router.include_router( + assistants_router, + prefix="/assistants", + tags=["assistants"], +) +router.include_router( + runs_router, + prefix="/runs", + tags=["runs"], +) +router.include_router( + threads_router, + prefix="/threads", + tags=["threads"], +) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py new file mode 100644 index 00000000..ceae27d8 --- /dev/null +++ b/backend/app/api/assistants.py @@ -0,0 +1,59 @@ +from typing import Annotated, List, Optional + +from fastapi import APIRouter, Cookie, Path, Query +from pydantic import BaseModel, Field + +import app.storage as storage +from app.schema import Assistant, AssistantWithoutUserId, OpengptsUserId + +router = APIRouter() + +FEATURED_PUBLIC_ASSISTANTS = [ + "ba721964-b7e4-474c-b817-fb089d94dc5f", + "dc3ec482-aafc-4d90-8a1a-afb9b2876cde", +] + + +@router.get("/") +def list_assistants(opengpts_user_id: OpengptsUserId) -> List[AssistantWithoutUserId]: + """List all assistants for the current user.""" + return storage.list_assistants(opengpts_user_id) + + +@router.get("/public/") +def list_public_assistants( + shared_id: Annotated[ + Optional[str], Query(description="ID of a publicly shared assistant.") + ] = None, +) -> List[AssistantWithoutUserId]: + """List all public assistants.""" + return storage.list_public_assistants( + FEATURED_PUBLIC_ASSISTANTS + ([shared_id] if shared_id else []) + ) + + +class AssistantPayload(BaseModel): + """Payload for creating an assistant.""" + + name: str = Field(..., description="The name of the assistant.") + config: dict = Field(..., description="The assistant config.") + public: bool = Field(default=False, description="Whether the assistant is public.") + + +AssistantID = Annotated[str, Path(description="The ID of the assistant.")] + + +@router.put("/{aid}") +def put_assistant( + opengpts_user_id: Annotated[str, Cookie()], + aid: AssistantID, + payload: AssistantPayload, +) -> Assistant: + """Create or update an assistant.""" + return storage.put_assistant( + opengpts_user_id, + aid, + name=payload.name, + config=payload.config, + public=payload.public, + ) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py new file mode 100644 index 00000000..b35cf5d7 --- /dev/null +++ b/backend/app/api/runs.py @@ -0,0 +1,200 @@ +import asyncio +import json +from typing import AsyncIterator, Sequence +from uuid import uuid4 + +import langsmith.client +import orjson +from fastapi import APIRouter, BackgroundTasks, HTTPException, Request +from fastapi.exceptions import RequestValidationError +from gizmo_agent import agent +from langchain.pydantic_v1 import ValidationError +from langchain.schema.messages import AnyMessage, FunctionMessage +from langchain.schema.output import ChatGeneration +from langchain.schema.runnable import RunnableConfig +from langserve.callbacks import AsyncEventAggregatorCallback +from langserve.schema import FeedbackCreateRequest +from langserve.serialization import WellKnownLCSerializer +from langserve.server import _get_base_run_id_as_str, _unpack_input +from langsmith.utils import tracing_is_enabled +from pydantic import BaseModel +from sse_starlette import EventSourceResponse + +from app.schema import OpengptsUserId +from app.storage import get_assistant, get_thread_messages, public_user_id +from app.stream import StreamMessagesHandler + +router = APIRouter() + + +_serializer = WellKnownLCSerializer() + + +class AgentInput(BaseModel): + """An input into an agent.""" + + messages: Sequence[AnyMessage] + + +class CreateRunPayload(BaseModel): + """Payload for creating a run.""" + + assistant_id: str + thread_id: str + stream: bool + # TODO make optional + input: AgentInput + + +@router.post("") +async def create_run( + request: Request, + payload: CreateRunPayload, # for openapi docs + opengpts_user_id: OpengptsUserId, + background_tasks: BackgroundTasks, +): + """Create a run.""" + try: + body = await request.json() + except json.JSONDecodeError: + raise RequestValidationError(errors=["Invalid JSON body"]) + assistant, public_assistant, state = await asyncio.gather( + asyncio.get_running_loop().run_in_executor( + None, get_assistant, opengpts_user_id, body["assistant_id"] + ), + asyncio.get_running_loop().run_in_executor( + None, get_assistant, public_user_id, body["assistant_id"] + ), + asyncio.get_running_loop().run_in_executor( + None, get_thread_messages, opengpts_user_id, body["thread_id"] + ), + ) + assistant = assistant or public_assistant + if not assistant: + raise HTTPException(status_code=404, detail="Assistant not found") + config: RunnableConfig = { + **assistant["config"], + "configurable": { + **assistant["config"]["configurable"], + "user_id": opengpts_user_id, + "thread_id": body["thread_id"], + "assistant_id": body["assistant_id"], + }, + } + try: + input_ = _unpack_input(agent.get_input_schema(config).validate(body["input"])) + except ValidationError as e: + raise RequestValidationError(e.errors(), body=body) + if body["stream"]: + streamer = StreamMessagesHandler(state["messages"] + input_["messages"]) + event_aggregator = AsyncEventAggregatorCallback() + config["callbacks"] = [streamer, event_aggregator] + + # Call the runnable in streaming mode, + # add each chunk to the output stream + async def consume_astream() -> None: + try: + async for chunk in agent.astream(input_, config): + await streamer.send_stream.send(chunk) + # hack: function messages aren't generated by chat model + # so the callback handler doesn't know about them + message = chunk["messages"][-1] + if isinstance(message, FunctionMessage): + streamer.output[uuid4()] = ChatGeneration(message=message) + except Exception as e: + await streamer.send_stream.send(e) + finally: + await streamer.send_stream.aclose() + + # Start the runnable in the background + task = asyncio.create_task(consume_astream()) + + # Consume the stream into an EventSourceResponse + async def _stream() -> AsyncIterator[dict]: + has_sent_metadata = False + + async for chunk in streamer.receive_stream: + if isinstance(chunk, BaseException): + 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(), + } + raise chunk + else: + if not has_sent_metadata and event_aggregator.callback_events: + yield { + "event": "metadata", + "data": orjson.dumps( + {"run_id": _get_base_run_id_as_str(event_aggregator)} + ).decode(), + } + has_sent_metadata = True + + yield { + # EventSourceResponse expects a string for data + # so after serializing into bytes, we decode into utf-8 + # to get a string. + "data": _serializer.dumps(chunk).decode("utf-8"), + "event": "data", + } + + # Send an end event to signal the end of the stream + yield {"event": "end"} + # Wait for the runnable to finish + await task + + return EventSourceResponse(_stream()) + else: + background_tasks.add_task(agent.ainvoke, input_, config) + return {"status": "ok"} # TODO add a run id + + +@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.""" + return agent.config_schema().schema() + + +if tracing_is_enabled(): + langsmith_client = langsmith.client.Client() + + @router.post("/feedback") + def create_run_feedback(feedback_create_req: FeedbackCreateRequest) -> dict: + """ + Send feedback on an individual run to langsmith + + Note that a successful response means that feedback was successfully + submitted. It does not guarantee that the feedback is recorded by + langsmith. Requests may be silently rejected if they are + unauthenticated or invalid by the server. + """ + + langsmith_client.create_feedback( + feedback_create_req.run_id, + feedback_create_req.key, + score=feedback_create_req.score, + value=feedback_create_req.value, + comment=feedback_create_req.comment, + source_info={ + "from_langserve": True, + }, + ) + + return {"status": "ok"} diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py new file mode 100644 index 00000000..3e2d040c --- /dev/null +++ b/backend/app/api/threads.py @@ -0,0 +1,51 @@ +from typing import Annotated, List + +from fastapi import APIRouter, Path +from pydantic import BaseModel, Field + +import app.storage as storage +from app.schema import OpengptsUserId, Thread, ThreadWithoutUserId + +router = APIRouter() + + +ThreadID = Annotated[str, Path(description="The ID of the thread.")] + + +class ThreadPutRequest(BaseModel): + """Payload for creating a thread.""" + + name: str = Field(..., description="The name of the thread.") + assistant_id: str = Field(..., description="The ID of the assistant to use.") + + +@router.get("/") +def list_threads_endpoint( + opengpts_user_id: OpengptsUserId +) -> List[ThreadWithoutUserId]: + """List all threads for the current user.""" + return storage.list_threads(opengpts_user_id) + + +@router.get("/{tid}/messages") +def get_thread_messages_endpoint( + opengpts_user_id: OpengptsUserId, + tid: ThreadID, +): + """Get all messages for a thread.""" + return storage.get_thread_messages(opengpts_user_id, tid) + + +@router.put("/{tid}") +def put_thread_endpoint( + opengpts_user_id: OpengptsUserId, + tid: ThreadID, + thread_put_request: ThreadPutRequest, +) -> Thread: + """Update a thread.""" + return storage.put_thread( + opengpts_user_id, + tid, + assistant_id=thread_put_request.assistant_id, + name=thread_put_request.name, + ) diff --git a/backend/app/schema.py b/backend/app/schema.py index e96dbc01..336493cf 100644 --- a/backend/app/schema.py +++ b/backend/app/schema.py @@ -1,5 +1,7 @@ from datetime import datetime +from typing import Annotated +from fastapi import Cookie from typing_extensions import TypedDict @@ -41,3 +43,15 @@ class Thread(ThreadWithoutUserId): user_id: str """The ID of the user that owns the thread.""" + + +OpengptsUserId = Annotated[ + str, + Cookie( + description=( + "A cookie that identifies the user. This is not an authentication " + "mechanism that should be used in an actual production environment that " + "contains sensitive information." + ) + ), +] diff --git a/backend/app/server.py b/backend/app/server.py index af78f08f..c27bda10 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -1,301 +1,29 @@ -import asyncio -import json from pathlib import Path -from typing import Annotated, AsyncIterator, List, Optional, Sequence -from uuid import uuid4 import orjson -from fastapi import BackgroundTasks, Cookie, FastAPI, Form, Query, Request, UploadFile -from fastapi.exceptions import RequestValidationError +from fastapi import FastAPI, Form, UploadFile from fastapi.staticfiles import StaticFiles -from gizmo_agent import agent, ingest_runnable -from langchain.pydantic_v1 import ValidationError -from langchain.schema.messages import AnyMessage, FunctionMessage -from langchain.schema.output import ChatGeneration -from langchain.schema.runnable import RunnableConfig -from langserve import add_routes -from langserve.callbacks import AsyncEventAggregatorCallback -from langserve.serialization import WellKnownLCSerializer -from langserve.server import _get_base_run_id_as_str, _unpack_input -from pydantic import BaseModel, Field -from sse_starlette import EventSourceResponse +from gizmo_agent import ingest_runnable -from app.schema import Assistant, AssistantWithoutUserId, Thread, ThreadWithoutUserId -from app.storage import ( - get_assistant, - get_thread_messages, - list_assistants, - list_public_assistants, - list_threads, - put_assistant, - put_thread, -) -from app.stream import StreamMessagesHandler +from app.api import router as api_router app = FastAPI() -FEATURED_PUBLIC_ASSISTANTS = [ - "ba721964-b7e4-474c-b817-fb089d94dc5f", - "dc3ec482-aafc-4d90-8a1a-afb9b2876cde", -] # Get root of app, used to point to directory containing static files ROOT = Path(__file__).parent.parent -OpengptsUserId = Annotated[ - str, - Cookie( - description=( - "A cookie that identifies the user. This is not an authentication " - "mechanism that should be used in an actual production environment that " - "contains sensitive information." - ) - ), -] +app.include_router(api_router) -def attach_user_id_to_config( - config: RunnableConfig, - request: Request, -) -> RunnableConfig: - """Attach the user id to the runnable config. - Args: - config: The runnable config. - request: The request. - - Returns: - A modified runnable config that contains information about the user - who made the request in the `configurable.user_id` field. - """ - config["configurable"]["user_id"] = request.cookies["opengpts_user_id"] - return config - - -add_routes( - app, - agent, - config_keys=["configurable"], - per_req_config_modifier=attach_user_id_to_config, - enable_feedback_endpoint=True, -) - -serializer = WellKnownLCSerializer() - - -class AgentInput(BaseModel): - """An input into an agent.""" - - messages: Sequence[AnyMessage] - - -class CreateRunPayload(BaseModel): - """Payload for creating a run.""" - - assistant_id: str - thread_id: str - stream: bool - # TODO make optional - input: AgentInput - - -@app.post("/runs") -async def create_run_endpoint( - request: Request, - opengpts_user_id: Annotated[str, Cookie()], - background_tasks: BackgroundTasks, -): - """Create a run.""" - try: - body = await request.json() - except json.JSONDecodeError: - raise RequestValidationError(errors=["Invalid JSON body"]) - assistant, state = await asyncio.gather( - asyncio.get_running_loop().run_in_executor( - None, get_assistant, opengpts_user_id, body["assistant_id"] - ), - asyncio.get_running_loop().run_in_executor( - None, get_thread_messages, opengpts_user_id, body["thread_id"] - ), - ) - config: RunnableConfig = attach_user_id_to_config( - { - **assistant["config"], - "configurable": { - **assistant["config"]["configurable"], - "thread_id": body["thread_id"], - "assistant_id": body["assistant_id"], - }, - }, - request, - ) - try: - input_ = _unpack_input(agent.get_input_schema(config).validate(body["input"])) - except ValidationError as e: - raise RequestValidationError(e.errors(), body=body) - if body["stream"]: - streamer = StreamMessagesHandler(state["messages"] + input_["messages"]) - event_aggregator = AsyncEventAggregatorCallback() - config["callbacks"] = [streamer, event_aggregator] - - # Call the runnable in streaming mode, - # add each chunk to the output stream - async def consume_astream() -> None: - try: - async for chunk in agent.astream(input_, config): - await streamer.send_stream.send(chunk) - # hack: function messages aren't generated by chat model - # so the callback handler doesn't know about them - message = chunk["messages"][-1] - if isinstance(message, FunctionMessage): - streamer.output[uuid4()] = ChatGeneration(message=message) - except Exception as e: - await streamer.send_stream.send(e) - finally: - await streamer.send_stream.aclose() - - # Start the runnable in the background - task = asyncio.create_task(consume_astream()) - - # Consume the stream into an EventSourceResponse - async def _stream() -> AsyncIterator[dict]: - has_sent_metadata = False - - async for chunk in streamer.receive_stream: - if isinstance(chunk, BaseException): - 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(), - } - raise chunk - else: - if not has_sent_metadata and event_aggregator.callback_events: - yield { - "event": "metadata", - "data": orjson.dumps( - {"run_id": _get_base_run_id_as_str(event_aggregator)} - ).decode(), - } - has_sent_metadata = True - - yield { - # EventSourceResponse expects a string for data - # so after serializing into bytes, we decode into utf-8 - # to get a string. - "data": serializer.dumps(chunk).decode("utf-8"), - "event": "data", - } - - # Send an end event to signal the end of the stream - yield {"event": "end"} - # Wait for the runnable to finish - await task - - return EventSourceResponse(_stream()) - else: - background_tasks.add_task(agent.ainvoke, input_, config) - return {"status": "ok"} # TODO add a run id - - -@app.post("/ingest", description="Upload files to the given user.") -def ingest_endpoint(files: list[UploadFile], config: str = Form(...)) -> None: +@app.post("/ingest", description="Upload files to the given assistant.") +def ingest_files(files: list[UploadFile], config: str = Form(...)) -> None: """Ingest a list of files.""" config = orjson.loads(config) return ingest_runnable.batch([file.file for file in files], config) -@app.get("/assistants/") -def list_assistants_endpoint( - opengpts_user_id: OpengptsUserId -) -> List[AssistantWithoutUserId]: - """List all assistants for the current user.""" - return list_assistants(opengpts_user_id) - - -@app.get("/assistants/public/") -def list_public_assistants_endpoint( - shared_id: Annotated[ - Optional[str], Query(description="ID of a publicly shared assistant.") - ] = None, -) -> List[AssistantWithoutUserId]: - """List all public assistants.""" - return list_public_assistants( - FEATURED_PUBLIC_ASSISTANTS + ([shared_id] if shared_id else []) - ) - - -class AssistantPayload(BaseModel): - """Payload for creating an assistant.""" - - name: str = Field(..., description="The name of the assistant.") - config: dict = Field(..., description="The assistant config.") - public: bool = Field(default=False, description="Whether the assistant is public.") - - -AssistantID = Annotated[str, Path(description="The ID of the assistant.")] -ThreadID = Annotated[str, Path(description="The ID of the thread.")] - - -@app.put("/assistants/{aid}") -def put_assistant_endpoint( - opengpts_user_id: Annotated[str, Cookie()], - aid: AssistantID, - payload: AssistantPayload, -) -> Assistant: - """Create or update an assistant.""" - return put_assistant( - opengpts_user_id, - aid, - name=payload.name, - config=payload.config, - public=payload.public, - ) - - -@app.get("/threads/") -def list_threads_endpoint( - opengpts_user_id: OpengptsUserId -) -> List[ThreadWithoutUserId]: - """List all threads for the current user.""" - return list_threads(opengpts_user_id) - - -@app.get("/threads/{tid}/messages") -def get_thread_messages_endpoint( - opengpts_user_id: OpengptsUserId, - tid: ThreadID, -): - """Get all messages for a thread.""" - return get_thread_messages(opengpts_user_id, tid) - - -class ThreadPutRequest(BaseModel): - """Payload for creating a thread.""" - - name: str = Field(..., description="The name of the thread.") - assistant_id: str = Field(..., description="The ID of the assistant to use.") - - -@app.put("/threads/{tid}") -def put_thread_endpoint( - opengpts_user_id: OpengptsUserId, - tid: ThreadID, - thread_put_request: ThreadPutRequest, -) -> Thread: - """Update a thread.""" - return put_thread( - opengpts_user_id, - tid, - assistant_id=thread_put_request.assistant_id, - name=thread_put_request.name, - ) - - app.mount("", StaticFiles(directory=str(ROOT / "ui"), html=True), name="ui") if __name__ == "__main__": diff --git a/backend/app/storage.py b/backend/app/storage.py index 9a39bb01..228c925b 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -61,11 +61,11 @@ def list_assistants(user_id: str) -> List[Assistant]: return [load(assistant_hash_keys, values) for values in assistants] -def get_assistant(user_id: str, assistant_id: str) -> Assistant: +def get_assistant(user_id: str, assistant_id: str) -> Assistant | None: """Get an assistant by ID.""" client = _get_redis_client() values = client.hmget(assistant_key(user_id, assistant_id), *assistant_hash_keys) - return load(assistant_hash_keys, values) + return load(assistant_hash_keys, values) if any(values) else None def list_public_assistants( diff --git a/backend/app/stream.py b/backend/app/stream.py index 96af0af6..b8a4a19e 100644 --- a/backend/app/stream.py +++ b/backend/app/stream.py @@ -4,19 +4,19 @@ from anyio import create_memory_object_stream from langchain.callbacks.base import BaseCallbackHandler -from langchain.schema.output import ChatGenerationChunk, GenerationChunk from langchain.schema.messages import ( + AIMessage, + AIMessageChunk, BaseMessage, BaseMessageChunk, - AIMessageChunk, - HumanMessageChunk, - HumanMessage, - AIMessage, - FunctionMessage, - FunctionMessageChunk, ChatMessage, ChatMessageChunk, + FunctionMessage, + FunctionMessageChunk, + HumanMessage, + HumanMessageChunk, ) +from langchain.schema.output import ChatGenerationChunk, GenerationChunk class StreamMessagesHandler(BaseCallbackHandler): diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 23d5f6ed..5ae891dc 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -2,18 +2,18 @@ from operator import itemgetter from typing import Sequence -from permchain import Channel, Pregel, ReservedChannels -from permchain.channels import Topic -from permchain.checkpoint.base import BaseCheckpointAdapter +from langchain.schema.agent import AgentAction, AgentActionMessageLog, AgentFinish +from langchain.schema.messages import AIMessage, AnyMessage, FunctionMessage from langchain.schema.runnable import ( Runnable, RunnableConfig, RunnableLambda, RunnablePassthrough, ) -from langchain.schema.agent import AgentAction, AgentFinish, AgentActionMessageLog -from langchain.schema.messages import AIMessage, FunctionMessage, AnyMessage from langchain.tools import BaseTool +from permchain import Channel, Pregel, ReservedChannels +from permchain.channels import Topic +from permchain.checkpoint.base import BaseCheckpointAdapter def _create_agent_message( diff --git a/backend/packages/gizmo-agent/gizmo_agent/main.py b/backend/packages/gizmo-agent/gizmo_agent/main.py index e261785e..8fa93027 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/main.py +++ b/backend/packages/gizmo-agent/gizmo_agent/main.py @@ -1,6 +1,6 @@ from typing import Any, Mapping, Optional, Sequence -from agent_executor.checkpoint import RedisCheckpoint +from agent_executor.checkpoint import RedisCheckpoint from agent_executor.permchain import get_agent_executor from langchain.pydantic_v1 import BaseModel, Field from langchain.schema.messages import AnyMessage diff --git a/backend/packages/gizmo-agent/gizmo_agent/tools.py b/backend/packages/gizmo-agent/gizmo_agent/tools.py index f0fd470b..cdefd966 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/tools.py +++ b/backend/packages/gizmo-agent/gizmo_agent/tools.py @@ -5,10 +5,10 @@ from langchain.retrievers.you import YouRetriever from langchain.tools import ArxivQueryRun, DuckDuckGoSearchRun from langchain.tools.retriever import create_retriever_tool +from langchain.tools.tavily_search import TavilyAnswer, TavilySearchResults from langchain.utilities import ArxivAPIWrapper -from langchain.vectorstores.redis import RedisFilter from langchain.utilities.tavily_search import TavilySearchAPIWrapper -from langchain.tools.tavily_search import TavilySearchResults, TavilyAnswer +from langchain.vectorstores.redis import RedisFilter from gizmo_agent.ingest import vstore diff --git a/backend/poetry.lock b/backend/poetry.lock index a4e647ad..71b7ec90 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1382,13 +1382,13 @@ requests = ">=2" [[package]] name = "langchain" -version = "0.0.335" +version = "0.0.338" description = "Building applications with LLMs through composability" optional = false python-versions = ">=3.8.1,<4.0" files = [ - {file = "langchain-0.0.335-py3-none-any.whl", hash = "sha256:f74c98366070a46953c071c69f6c01671a9437569c08406cace256ccaabdfcaf"}, - {file = "langchain-0.0.335.tar.gz", 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-permchain = "^0.0.5" +langchain = ">=0.0.338" +permchain = "0.0.6" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/frontend/src/hooks/useSchemas.ts b/frontend/src/hooks/useSchemas.ts index c9591d34..dbe8ecdb 100644 --- a/frontend/src/hooks/useSchemas.ts +++ b/frontend/src/hooks/useSchemas.ts @@ -22,39 +22,27 @@ export interface Schemas { }; }; }; - // eslint-disable-next-line @typescript-eslint/no-explicit-any - inputSchema: null | any; configDefaults: null | { configurable?: { [key: string]: unknown; }; }; - inputDefaults: null | Record; } export function useSchemas() { const [schemas, setSchemas] = useState({ configSchema: null, - inputSchema: null, configDefaults: null, - inputDefaults: null, }); useEffect(() => { async function save() { - const [configSchema, inputSchema] = await Promise.all([ - fetch("/config_schema") - .then((r) => r.json()) - .then(simplifySchema), - fetch("/input_schema") - .then((r) => r.json()) - .then(simplifySchema), - ]); + const configSchema = await fetch("/runs/config_schema") + .then((r) => r.json()) + .then(simplifySchema); setSchemas({ configSchema, - inputSchema, configDefaults: getDefaults(configSchema) as Record, - inputDefaults: getDefaults(inputSchema) as Record, }); } diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts index 785eb90f..9702f992 100644 --- a/frontend/vite.config.ts +++ b/frontend/vite.config.ts @@ -6,12 +6,11 @@ export default defineConfig({ plugins: [react()], server: { proxy: { - "^/(config_schema|input_schema|stream|assistants|threads|ingest|feedback|runs)": - { - target: "http://127.0.0.1:8100", - changeOrigin: true, - rewrite: (path) => path.replace("/____LANGSERVE_BASE_URL", ""), - }, + "^/(assistants|threads|ingest|runs)": { + target: "http://127.0.0.1:8100", + changeOrigin: true, + rewrite: (path) => path.replace("/____LANGSERVE_BASE_URL", ""), + }, }, }, }); From 815b31206b47132de69b4e14efb6e7a0de840a7e Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 11:36:40 +0000 Subject: [PATCH 18/31] Add missing endpoints --- backend/app/api/assistants.py | 48 +++++++++++++++++++++++++++-------- backend/app/api/threads.py | 37 ++++++++++++++++++++++----- backend/app/storage.py | 7 +++++ 3 files changed, 76 insertions(+), 16 deletions(-) diff --git a/backend/app/api/assistants.py b/backend/app/api/assistants.py index ceae27d8..45d7e53f 100644 --- a/backend/app/api/assistants.py +++ b/backend/app/api/assistants.py @@ -1,6 +1,7 @@ from typing import Annotated, List, Optional +from uuid import uuid4 -from fastapi import APIRouter, Cookie, Path, Query +from fastapi import APIRouter, HTTPException, Path, Query from pydantic import BaseModel, Field import app.storage as storage @@ -14,6 +15,17 @@ ] +class AssistantPayload(BaseModel): + """Payload for creating an assistant.""" + + name: str = Field(..., description="The name of the assistant.") + config: dict = Field(..., description="The assistant config.") + public: bool = Field(default=False, description="Whether the assistant is public.") + + +AssistantID = Annotated[str, Path(description="The ID of the assistant.")] + + @router.get("/") def list_assistants(opengpts_user_id: OpengptsUserId) -> List[AssistantWithoutUserId]: """List all assistants for the current user.""" @@ -32,20 +44,36 @@ def list_public_assistants( ) -class AssistantPayload(BaseModel): - """Payload for creating an assistant.""" - - name: str = Field(..., description="The name of the assistant.") - config: dict = Field(..., description="The assistant config.") - public: bool = Field(default=False, description="Whether the assistant is public.") +@router.get("/{aid}") +def get_asistant( + opengpts_user_id: OpengptsUserId, + aid: AssistantID, +) -> Assistant: + """Get an assistant by ID.""" + assistant = storage.get_assistant(opengpts_user_id, aid) + if not assistant: + raise HTTPException(status_code=404, detail="Assistant not found") + return assistant -AssistantID = Annotated[str, Path(description="The ID of the assistant.")] +@router.post("") +def create_assistant( + opengpts_user_id: OpengptsUserId, + payload: AssistantPayload, +) -> Assistant: + """Create an assistant.""" + return storage.put_assistant( + opengpts_user_id, + str(uuid4()), + name=payload.name, + config=payload.config, + public=payload.public, + ) @router.put("/{aid}") -def put_assistant( - opengpts_user_id: Annotated[str, Cookie()], +def upsert_assistant( + opengpts_user_id: OpengptsUserId, aid: AssistantID, payload: AssistantPayload, ) -> Assistant: diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 3e2d040c..19dec65e 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -1,6 +1,7 @@ from typing import Annotated, List +from uuid import uuid4 -from fastapi import APIRouter, Path +from fastapi import APIRouter, HTTPException, Path from pydantic import BaseModel, Field import app.storage as storage @@ -20,15 +21,13 @@ class ThreadPutRequest(BaseModel): @router.get("/") -def list_threads_endpoint( - opengpts_user_id: OpengptsUserId -) -> List[ThreadWithoutUserId]: +def list_threads(opengpts_user_id: OpengptsUserId) -> List[ThreadWithoutUserId]: """List all threads for the current user.""" return storage.list_threads(opengpts_user_id) @router.get("/{tid}/messages") -def get_thread_messages_endpoint( +def get_thread_messages( opengpts_user_id: OpengptsUserId, tid: ThreadID, ): @@ -36,8 +35,34 @@ def get_thread_messages_endpoint( return storage.get_thread_messages(opengpts_user_id, tid) +@router.get("/{tid}") +def get_thread( + opengpts_user_id: OpengptsUserId, + tid: ThreadID, +) -> Thread: + """Get a thread by ID.""" + thread = storage.get_thread(opengpts_user_id, tid) + if not thread: + raise HTTPException(status_code=404, detail="Thread not found") + return thread + + +@router.post("") +def create_thread( + opengpts_user_id: OpengptsUserId, + thread_put_request: ThreadPutRequest, +) -> Thread: + """Create a thread.""" + return storage.put_thread( + opengpts_user_id, + str(uuid4()), + assistant_id=thread_put_request.assistant_id, + name=thread_put_request.name, + ) + + @router.put("/{tid}") -def put_thread_endpoint( +def upsert_thread( opengpts_user_id: OpengptsUserId, tid: ThreadID, thread_put_request: ThreadPutRequest, diff --git a/backend/app/storage.py b/backend/app/storage.py index 228c925b..fd347e77 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -138,6 +138,13 @@ def list_threads(user_id: str) -> List[ThreadWithoutUserId]: return [load(thread_hash_keys, values) for values in threads] +def get_thread(user_id: str, thread_id: str) -> Thread | None: + """Get a thread by ID.""" + client = _get_redis_client() + values = client.hmget(thread_key(user_id, thread_id), *thread_hash_keys) + return load(thread_hash_keys, values) if any(values) else None + + def get_thread_messages(user_id: str, thread_id: str): """Get all messages for a thread.""" client = RedisCheckpoint() From 2d8c4ef20ec569c4303efa214fd700796640e0a8 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 11:38:38 +0000 Subject: [PATCH 19/31] Name --- backend/app/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/backend/app/server.py b/backend/app/server.py index c27bda10..2fa5e436 100644 --- a/backend/app/server.py +++ b/backend/app/server.py @@ -7,7 +7,7 @@ from app.api import router as api_router -app = FastAPI() +app = FastAPI(title="OpenGPTs API") # Get root of app, used to point to directory containing static files From 6269b0d5f86ba240122c46646245feb9da8863b1 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:01:40 +0000 Subject: [PATCH 20/31] Fix message types --- .../agent_executor/permchain.py | 32 +++++++++++++++++-- 1 file changed, 30 insertions(+), 2 deletions(-) diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 5ae891dc..a472ac32 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -3,7 +3,19 @@ from typing import Sequence from langchain.schema.agent import AgentAction, AgentActionMessageLog, AgentFinish -from langchain.schema.messages import AIMessage, AnyMessage, FunctionMessage +from langchain.schema.messages import ( + AnyMessage, + AIMessage, + AIMessageChunk, + BaseMessage, + BaseMessageChunk, + ChatMessage, + ChatMessageChunk, + FunctionMessage, + FunctionMessageChunk, + HumanMessage, + HumanMessageChunk, +) from langchain.schema.runnable import ( Runnable, RunnableConfig, @@ -16,13 +28,29 @@ from permchain.checkpoint.base import BaseCheckpointAdapter +def map_chunk_to_msg(chunk: BaseMessageChunk) -> BaseMessage: + if not isinstance(chunk, BaseMessageChunk): + return chunk + args = {k: v for k, v in chunk.__dict__.items() if k != "type"} + if isinstance(chunk, HumanMessageChunk): + return HumanMessage(**args) + elif isinstance(chunk, AIMessageChunk): + return AIMessage(**args) + elif isinstance(chunk, FunctionMessageChunk): + return FunctionMessage(**args) + elif isinstance(chunk, ChatMessageChunk): + return ChatMessage(**args) + else: + raise ValueError(f"Unknown chunk type: {chunk}") + + def _create_agent_message( output: AgentAction | AgentFinish ) -> list[AnyMessage] | AnyMessage: if isinstance(output, AgentAction): if isinstance(output, AgentActionMessageLog): output.message_log[-1].additional_kwargs["agent"] = output - messages = output.message_log + messages = [map_chunk_to_msg(m) for m in output.message_log] output.message_log = [] # avoid circular reference for json dumps return messages else: From a031c965fab41d4b2f337bb960707b4be62457f3 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:02:42 +0000 Subject: [PATCH 21/31] Fixes for feedback --- frontend/src/components/Chat.tsx | 6 +++++- frontend/src/components/LangSmithActions.tsx | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/frontend/src/components/Chat.tsx b/frontend/src/components/Chat.tsx index 4739b5de..7fc7e896 100644 --- a/frontend/src/components/Chat.tsx +++ b/frontend/src/components/Chat.tsx @@ -24,7 +24,11 @@ export function Chat(props: ChatProps) { ))} {(props.stream?.status === "inflight" || messages === null) && ( diff --git a/frontend/src/components/LangSmithActions.tsx b/frontend/src/components/LangSmithActions.tsx index 5d231fd6..500ac0a8 100644 --- a/frontend/src/components/LangSmithActions.tsx +++ b/frontend/src/components/LangSmithActions.tsx @@ -13,7 +13,7 @@ export function LangSmithActions(props: { runId: string }) { } | null>(null); const sendFeedback = async (score: number) => { setState({ score, inflight: true }); - await fetch(`/feedback`, { + await fetch(`/runs/feedback`, { method: "POST", body: JSON.stringify({ run_id: props.runId, From 40b625e054fe9a80e7b00dbdcf7f03a91cf04145 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:04:49 +0000 Subject: [PATCH 22/31] Update ui files --- backend/Makefile | 3 + backend/ui/dist/assets/index-030c7d0e.js | 123 ++++++++++++++++++++++ backend/ui/dist/assets/index-86d2f9e8.css | 1 + backend/ui/dist/index.html | 16 +++ 4 files changed, 143 insertions(+) create mode 100644 backend/ui/dist/assets/index-030c7d0e.js create mode 100644 backend/ui/dist/assets/index-86d2f9e8.css create mode 100644 backend/ui/dist/index.html diff --git a/backend/Makefile b/backend/Makefile index a7468d70..2bd9a8f9 100644 --- a/backend/Makefile +++ b/backend/Makefile @@ -3,6 +3,9 @@ # Default target executed when no arguments are given to make. all: help +build_ui: + cd ../frontend && yarn build && cp -r dist ../backend/ui + ###################### # TESTING AND COVERAGE ###################### diff --git a/backend/ui/dist/assets/index-030c7d0e.js b/backend/ui/dist/assets/index-030c7d0e.js new file mode 100644 index 00000000..50e86f46 --- /dev/null +++ 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1024px){.lg\:fixed{position:fixed}.lg\:inset-y-0{top:0;bottom:0}.lg\:left-72{left:18rem}.lg\:z-50{z-index:50}.lg\:flex{display:flex}.lg\:hidden{display:none}.lg\:w-72{width:18rem}.lg\:flex-col{flex-direction:column}.lg\:items-stretch{align-items:stretch}.lg\:px-8{padding-left:2rem;padding-right:2rem}.lg\:pl-72{padding-left:18rem}} diff --git a/backend/ui/dist/index.html b/backend/ui/dist/index.html new file mode 100644 index 00000000..ba027216 --- /dev/null +++ b/backend/ui/dist/index.html @@ -0,0 +1,16 @@ + + + + + + + OpenGPTs + + + + + +
    + + + From 7757f92b33ee43f0d305230d3e3b062607ff4137 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:05:42 +0000 Subject: [PATCH 23/31] Fix ui files --- backend/Makefile | 2 +- backend/ui/{dist => }/assets/index-030c7d0e.js | 0 backend/ui/{dist => }/assets/index-86d2f9e8.css | 0 backend/ui/dist/index.html | 16 ---------------- backend/ui/index.html | 4 ++-- 5 files changed, 3 insertions(+), 19 deletions(-) rename backend/ui/{dist => }/assets/index-030c7d0e.js (100%) rename backend/ui/{dist => }/assets/index-86d2f9e8.css (100%) delete mode 100644 backend/ui/dist/index.html diff --git a/backend/Makefile b/backend/Makefile index 2bd9a8f9..4b23a5d3 100644 --- a/backend/Makefile +++ b/backend/Makefile @@ -4,7 +4,7 @@ all: help build_ui: - cd ../frontend && yarn build && cp -r dist ../backend/ui + cd ../frontend && yarn build && cp -r dist/* ../backend/ui ###################### # TESTING AND COVERAGE diff --git a/backend/ui/dist/assets/index-030c7d0e.js b/backend/ui/assets/index-030c7d0e.js similarity index 100% rename from backend/ui/dist/assets/index-030c7d0e.js rename to backend/ui/assets/index-030c7d0e.js diff --git a/backend/ui/dist/assets/index-86d2f9e8.css b/backend/ui/assets/index-86d2f9e8.css similarity index 100% rename from backend/ui/dist/assets/index-86d2f9e8.css rename to backend/ui/assets/index-86d2f9e8.css diff --git a/backend/ui/dist/index.html b/backend/ui/dist/index.html deleted file mode 100644 index ba027216..00000000 --- a/backend/ui/dist/index.html +++ /dev/null @@ -1,16 +0,0 @@ - - - - - - - OpenGPTs - - - - - -
    - - - diff --git a/backend/ui/index.html b/backend/ui/index.html index a973704c..ba027216 100644 --- a/backend/ui/index.html +++ b/backend/ui/index.html @@ -6,8 +6,8 @@ OpenGPTs - - + +
    From d38fafe8ef195c3fb9d84da68e646578e022f921 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:49:21 +0000 Subject: [PATCH 24/31] Fix issues related to 0 messages in state --- backend/app/api/runs.py | 7 ++++--- .../agent-executor/agent_executor/permchain.py | 6 +++++- frontend/src/hooks/useStreamState.tsx | 12 +++++++----- 3 files changed, 16 insertions(+), 9 deletions(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index b35cf5d7..78022fbf 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -98,9 +98,10 @@ async def consume_astream() -> None: await streamer.send_stream.send(chunk) # hack: function messages aren't generated by chat model # so the callback handler doesn't know about them - message = chunk["messages"][-1] - if isinstance(message, FunctionMessage): - streamer.output[uuid4()] = ChatGeneration(message=message) + if chunk["messages"]: + message = chunk["messages"][-1] + if isinstance(message, FunctionMessage): + streamer.output[uuid4()] = ChatGeneration(message=message) except Exception as e: await streamer.send_stream.send(e) finally: diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index a472ac32..4ff7c83a 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -111,6 +111,10 @@ def get_agent_executor( agent_chain = agent | _create_agent_message | Channel.write_to("messages") def route_last_message(input: dict[str, bool | Sequence[AnyMessage]]) -> Runnable: + if not input["messages"]: + # no messages, do nothing + return RunnablePassthrough() + message: AnyMessage = input["messages"][-1] if isinstance(message.additional_kwargs.get("agent"), AgentFinish): # finished, do nothing @@ -137,7 +141,7 @@ def route_last_message(input: dict[str, bool | Sequence[AnyMessage]]) -> Runnabl return agent_chain executor = ( - Channel.subscribe_to(["messages", ReservedChannels.is_last_step]) + Channel.subscribe_to(["messages"]).join([ReservedChannels.is_last_step]) | route_last_message ) diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 690b52f4..43a3186a 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -4,7 +4,7 @@ import { Message } from "./useChatList"; export interface StreamState { status: "inflight" | "error" | "done"; - messages: Message[]; + messages?: Message[]; run_id?: string; merge?: boolean; } @@ -50,13 +50,13 @@ export function useStreamState(): StreamStateProps { const { run_id } = JSON.parse(msg.data); setCurrent((current) => ({ status: "inflight", - messages: current?.messages ?? [], + messages: current?.messages, run_id: run_id, })); } else if (msg.event === "error") { setCurrent((current) => ({ status: "error", - messages: current?.messages ?? [], + messages: current?.messages, run_id: current?.run_id, })); } @@ -64,16 +64,18 @@ export function useStreamState(): StreamStateProps { onclose() { setCurrent((current) => ({ status: current?.status === "error" ? current.status : "done", - messages: current?.messages ?? [], + messages: current?.messages, run_id: current?.run_id, + merge: current?.merge, })); setController(null); }, onerror(error) { setCurrent((current) => ({ status: "error", - messages: current?.messages ?? [], + messages: current?.messages, run_id: current?.run_id, + merge: current?.merge, })); setController(null); throw error; From d0c86b62782a5e6f228dc80b2907d4cb519c2524 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:54:51 +0000 Subject: [PATCH 25/31] Make messages optional --- backend/app/api/runs.py | 7 +++---- .../packages/agent-executor/agent_executor/permchain.py | 2 +- backend/packages/gizmo-agent/gizmo_agent/main.py | 2 +- 3 files changed, 5 insertions(+), 6 deletions(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 78022fbf..a3ba09ba 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -17,7 +17,7 @@ from langserve.serialization import WellKnownLCSerializer from langserve.server import _get_base_run_id_as_str, _unpack_input from langsmith.utils import tracing_is_enabled -from pydantic import BaseModel +from pydantic import BaseModel, Field from sse_starlette import EventSourceResponse from app.schema import OpengptsUserId @@ -33,7 +33,7 @@ class AgentInput(BaseModel): """An input into an agent.""" - messages: Sequence[AnyMessage] + messages: Sequence[AnyMessage] = Field(default_factory=list) class CreateRunPayload(BaseModel): @@ -42,8 +42,7 @@ class CreateRunPayload(BaseModel): assistant_id: str thread_id: str stream: bool - # TODO make optional - input: AgentInput + input: AgentInput = Field(default_factory=AgentInput) @router.post("") diff --git a/backend/packages/agent-executor/agent_executor/permchain.py b/backend/packages/agent-executor/agent_executor/permchain.py index 4ff7c83a..1bee2808 100644 --- a/backend/packages/agent-executor/agent_executor/permchain.py +++ b/backend/packages/agent-executor/agent_executor/permchain.py @@ -113,7 +113,7 @@ def get_agent_executor( def route_last_message(input: dict[str, bool | Sequence[AnyMessage]]) -> Runnable: if not input["messages"]: # no messages, do nothing - return RunnablePassthrough() + return agent_chain message: AnyMessage = input["messages"][-1] if isinstance(message.additional_kwargs.get("agent"), AgentFinish): diff --git a/backend/packages/gizmo-agent/gizmo_agent/main.py b/backend/packages/gizmo-agent/gizmo_agent/main.py index 8fa93027..8ebc4c8f 100644 --- a/backend/packages/gizmo-agent/gizmo_agent/main.py +++ b/backend/packages/gizmo-agent/gizmo_agent/main.py @@ -75,7 +75,7 @@ def __init__( class AgentInput(BaseModel): - messages: Sequence[AnyMessage] + messages: Sequence[AnyMessage] = Field(default_factory=list) class AgentOutput(BaseModel): From 113e8158be591c0f06bb5dd30ca8a70cd9ccd621 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 12:57:29 +0000 Subject: [PATCH 26/31] Build ui --- backend/ui/assets/index-659277e1.js | 123 ++++++++++++++++++++++++++ backend/ui/index.html | 2 +- frontend/src/hooks/useChatMessages.ts | 2 +- 3 files changed, 125 insertions(+), 2 deletions(-) create mode 100644 backend/ui/assets/index-659277e1.js diff --git a/backend/ui/assets/index-659277e1.js 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[...(messages ?? []), ...stream.messages] + ? [...(messages ?? []), ...(stream.messages ?? [])] : stream?.messages ?? messages; } From d8a37c3f5e19aff74684ba982d62d0d357ad9fb2 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 13:07:49 +0000 Subject: [PATCH 27/31] Add endpoint to post thread messages --- backend/app/api/threads.py | 19 ++++++++++++++++++- backend/app/storage.py | 19 ++++++++++++++++++- frontend/src/components/TypingBox.tsx | 1 + 3 files changed, 37 insertions(+), 2 deletions(-) diff --git a/backend/app/api/threads.py b/backend/app/api/threads.py index 19dec65e..a41632c5 100644 --- a/backend/app/api/threads.py +++ b/backend/app/api/threads.py @@ -1,7 +1,8 @@ -from typing import Annotated, List +from typing import Annotated, List, Sequence from uuid import uuid4 from fastapi import APIRouter, HTTPException, Path +from langchain.schema.messages import AnyMessage from pydantic import BaseModel, Field import app.storage as storage @@ -20,6 +21,12 @@ class ThreadPutRequest(BaseModel): assistant_id: str = Field(..., description="The ID of the assistant to use.") +class ThreadMessagesPostRequest(BaseModel): + """Payload for adding messages to a thread.""" + + messages: Sequence[AnyMessage] + + @router.get("/") def list_threads(opengpts_user_id: OpengptsUserId) -> List[ThreadWithoutUserId]: """List all threads for the current user.""" @@ -35,6 +42,16 @@ def get_thread_messages( return storage.get_thread_messages(opengpts_user_id, tid) +@router.post("/{tid}/messages") +def add_thread_messages( + opengpts_user_id: OpengptsUserId, + tid: ThreadID, + payload: ThreadMessagesPostRequest, +): + """Add messages to a thread.""" + return storage.post_thread_messages(opengpts_user_id, tid, payload.messages) + + @router.get("/{tid}") def get_thread( opengpts_user_id: OpengptsUserId, diff --git a/backend/app/storage.py b/backend/app/storage.py index fd347e77..10b0b559 100644 --- a/backend/app/storage.py +++ b/backend/app/storage.py @@ -7,7 +7,7 @@ from langchain.schema.messages import AnyMessage from langchain.utilities.redis import get_client from permchain.channels import Topic -from permchain.channels.base import ChannelsManager +from permchain.channels.base import ChannelsManager, create_checkpoint from redis.client import Redis as RedisType from app.schema import Assistant, AssistantWithoutUserId, Thread, ThreadWithoutUserId @@ -159,6 +159,23 @@ def get_thread_messages(user_id: str, thread_id: str): return {k: v.get() for k, v in channels.items()} +def post_thread_messages(user_id: str, thread_id: str, messages: Sequence[AnyMessage]): + """Add messages to a thread.""" + client = RedisCheckpoint() + config = {"configurable": {"user_id": user_id, "thread_id": thread_id}} + checkpoint = client.get(config) + # TODO replace hardcoded messages channel with + # channel extracted from agent + with ChannelsManager( + {"messages": Topic(AnyMessage, accumulate=True)}, checkpoint + ) as channels: + channels["messages"].update(messages) + checkpoint = { + k: v for k, v in create_checkpoint(channels).items() if k == "messages" + } + client.put(config, checkpoint) + + def put_thread(user_id: str, thread_id: str, *, assistant_id: str, name: str) -> Thread: """Modify a thread.""" saved: Thread = { diff --git a/frontend/src/components/TypingBox.tsx b/frontend/src/components/TypingBox.tsx index ddc745d4..2fa93971 100644 --- a/frontend/src/components/TypingBox.tsx +++ b/frontend/src/components/TypingBox.tsx @@ -22,6 +22,7 @@ export default function TypingBox(props: { if (disabled) return; const form = e.target as HTMLFormElement; const message = form.message.value; + if (!message) return; setInflight(true); await props.onSubmit(message); setInflight(false); From bb35d975a780ae3390b8bdc28b0c76255e98e1f4 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 13:08:04 +0000 Subject: [PATCH 28/31] Build ui --- backend/ui/assets/index-fd5a17b9.js | 123 ++++++++++++++++++++++++++++ backend/ui/index.html | 2 +- 2 files changed, 124 insertions(+), 1 deletion(-) create mode 100644 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insertions(+), 75 deletions(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index a3ba09ba..9e44b61c 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -41,18 +41,10 @@ class CreateRunPayload(BaseModel): assistant_id: str thread_id: str - stream: bool input: AgentInput = Field(default_factory=AgentInput) -@router.post("") -async def create_run( - request: Request, - payload: CreateRunPayload, # for openapi docs - opengpts_user_id: OpengptsUserId, - background_tasks: BackgroundTasks, -): - """Create a run.""" +async def _run_input_and_config(request: Request, opengpts_user_id: OpengptsUserId): try: body = await request.json() except json.JSONDecodeError: @@ -84,74 +76,96 @@ async def create_run( input_ = _unpack_input(agent.get_input_schema(config).validate(body["input"])) except ValidationError as e: raise RequestValidationError(e.errors(), body=body) - if body["stream"]: - streamer = StreamMessagesHandler(state["messages"] + input_["messages"]) - event_aggregator = AsyncEventAggregatorCallback() - config["callbacks"] = [streamer, event_aggregator] - - # Call the runnable in streaming mode, - # add each chunk to the output stream - async def consume_astream() -> None: - try: - async for chunk in agent.astream(input_, config): - await streamer.send_stream.send(chunk) - # hack: function messages aren't generated by chat model - # so the callback handler doesn't know about them - if chunk["messages"]: - message = chunk["messages"][-1] - if isinstance(message, FunctionMessage): - streamer.output[uuid4()] = ChatGeneration(message=message) - except Exception as e: - await streamer.send_stream.send(e) - finally: - await streamer.send_stream.aclose() - - # Start the runnable in the background - task = asyncio.create_task(consume_astream()) - - # Consume the stream into an EventSourceResponse - async def _stream() -> AsyncIterator[dict]: - has_sent_metadata = False - - async for chunk in streamer.receive_stream: - if isinstance(chunk, BaseException): + + return input_, config, state["messages"] + + +@router.post("") +async def create_run( + request: Request, + payload: CreateRunPayload, # for openapi docs + opengpts_user_id: OpengptsUserId, + background_tasks: BackgroundTasks, +): + """Create a run.""" + input_, config, messages = await _run_input_and_config(request, opengpts_user_id) + background_tasks.add_task(agent.ainvoke, input_, config) + return {"status": "ok"} # TODO add a run id + + +@router.post("/stream") +async def stream_run( + request: Request, + payload: CreateRunPayload, # for openapi docs + opengpts_user_id: OpengptsUserId, + background_tasks: BackgroundTasks, +): + """Create a run.""" + input_, config, messages = await _run_input_and_config(request, opengpts_user_id) + streamer = StreamMessagesHandler(messages + input_["messages"]) + event_aggregator = AsyncEventAggregatorCallback() + config["callbacks"] = [streamer, event_aggregator] + + # Call the runnable in streaming mode, + # add each chunk to the output stream + async def consume_astream() -> None: + try: + async for chunk in agent.astream(input_, config): + await streamer.send_stream.send(chunk) + # hack: function messages aren't generated by chat model + # so the callback handler doesn't know about them + if chunk["messages"]: + message = chunk["messages"][-1] + if isinstance(message, FunctionMessage): + streamer.output[uuid4()] = ChatGeneration(message=message) + except Exception as e: + await streamer.send_stream.send(e) + finally: + await streamer.send_stream.aclose() + + # Start the runnable in the background + task = asyncio.create_task(consume_astream()) + + # Consume the stream into an EventSourceResponse + async def _stream() -> AsyncIterator[dict]: + has_sent_metadata = False + + async for chunk in streamer.receive_stream: + if isinstance(chunk, BaseException): + 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(), + } + raise chunk + else: + if not has_sent_metadata and event_aggregator.callback_events: 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. + "event": "metadata", "data": orjson.dumps( - {"status_code": 500, "message": "Internal Server Error"} + {"run_id": _get_base_run_id_as_str(event_aggregator)} ).decode(), } - raise chunk - else: - if not has_sent_metadata and event_aggregator.callback_events: - yield { - "event": "metadata", - "data": orjson.dumps( - {"run_id": _get_base_run_id_as_str(event_aggregator)} - ).decode(), - } - has_sent_metadata = True - - yield { - # EventSourceResponse expects a string for data - # so after serializing into bytes, we decode into utf-8 - # to get a string. - "data": _serializer.dumps(chunk).decode("utf-8"), - "event": "data", - } - - # Send an end event to signal the end of the stream - yield {"event": "end"} - # Wait for the runnable to finish - await task - - return EventSourceResponse(_stream()) - else: - background_tasks.add_task(agent.ainvoke, input_, config) - return {"status": "ok"} # TODO add a run id + has_sent_metadata = True + + yield { + # EventSourceResponse expects a string for data + # so after serializing into bytes, we decode into utf-8 + # to get a string. + "data": _serializer.dumps(chunk).decode("utf-8"), + "event": "data", + } + + # Send an end event to signal the end of the stream + yield {"event": "end"} + # Wait for the runnable to finish + await task + + return EventSourceResponse(_stream()) @router.get("/input_schema") diff --git a/frontend/src/hooks/useStreamState.tsx b/frontend/src/hooks/useStreamState.tsx index 43a3186a..cd859244 100644 --- a/frontend/src/hooks/useStreamState.tsx +++ b/frontend/src/hooks/useStreamState.tsx @@ -33,11 +33,11 @@ export function useStreamState(): StreamStateProps { setController(controller); setCurrent({ status: "inflight", messages: input.messages, merge: true }); - await fetchEventSource("/runs", { + await fetchEventSource("/runs/stream", { signal: controller.signal, method: "POST", headers: { "Content-Type": "application/json" }, - body: JSON.stringify({ input, assistant_id, thread_id, stream: true }), + body: JSON.stringify({ input, assistant_id, thread_id }), onmessage(msg) { if (msg.event === "data") { const { messages } = JSON.parse(msg.data); From eae5304c78ec078556e0291ba74bfcdc0b05d69f Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 13:21:21 +0000 Subject: [PATCH 30/31] Lint --- backend/app/api/runs.py | 1 - 1 file changed, 1 deletion(-) diff --git a/backend/app/api/runs.py b/backend/app/api/runs.py index 9e44b61c..abeada0c 100644 --- a/backend/app/api/runs.py +++ b/backend/app/api/runs.py @@ -98,7 +98,6 @@ async def stream_run( request: Request, payload: CreateRunPayload, # for openapi docs opengpts_user_id: OpengptsUserId, - background_tasks: BackgroundTasks, ): """Create a run.""" input_, config, messages = await _run_input_and_config(request, opengpts_user_id) From 669d9574e28bfb5c7ad70d0f5eb307c74d532c42 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 20 Nov 2023 14:35:28 +0000 Subject: [PATCH 31/31] Pin pydantic --- backend/poetry.lock | 182 ++++++++++------------------------------- backend/pyproject.toml | 1 + 2 files changed, 43 insertions(+), 140 deletions(-) diff --git a/backend/poetry.lock b/backend/poetry.lock index 71b7ec90..87d786ed 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -150,20 +150,6 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" -[[package]] -name = "annotated-types" -version = "0.6.0" -description = "Reusable constraint types to use with typing.Annotated" -optional = false -python-versions = ">=3.8" -files = [ - {file = 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