diff --git a/.github/workflows/build-project.yml b/.github/workflows/build-project.yml index 26d8e45a..a5c9622a 100644 --- a/.github/workflows/build-project.yml +++ b/.github/workflows/build-project.yml @@ -31,3 +31,6 @@ jobs: - name: Run build run: poetry build + + - name: Run tests + run: poetry run pytest \ No newline at end of file diff --git a/ROADMAP.md b/ROADMAP.md index 99f3bb4a..42496252 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -10,8 +10,9 @@ Core features improve the library itself to cater wider range of functionalities |------|-------------|--------|-----------------| | Full composability | Right now teams can only be combined with teams and agents with agents. We want to extend this to team + agent composibility | In progress | 0.0.4 | | Error handling | Ability to handle errors autonomously | In Progress | 0.0.4| +|LLM Extensibilty| Ability to different LLMs across different agents and teams| In Progress | 0.0.4| +|Async Tools| Ability create tools easily within asyncio | In Progress | 0.0.4| |Output formatter| Ability to templatize output format using pydantic| Yet to start| 0.0.4| -|LLM Extensibilty| Ability to different LLMs across different agents and teams| Yet to start| 0.0.4| |Auto-Query RAG| Ability to make metadata query within the agentic, which can automatically add metadata while rag query runs, like timestamp or other data|Yet to start|TBD| |Parellel Router| A router to execute tasks or agents in parallel if the tasks are independent | Yet to start | TBD diff --git a/examples/hierarchical_blogging_team.py b/examples/hierarchical_blogging_team.py index 9467af90..5b4c0eaa 100644 --- a/examples/hierarchical_blogging_team.py +++ b/examples/hierarchical_blogging_team.py @@ -49,4 +49,4 @@ session = FloSession(llm).register_tool( name="TavilySearchResults", tool=TavilySearchResults() ) -flo: Flo = Flo.build(session, yaml=yaml_data) +flo: Flo = Flo.build(session, yaml=yaml_data) \ No newline at end of file diff --git a/examples/history_aware_rag.py b/examples/history_aware_rag.py deleted file mode 100644 index d7b882eb..00000000 --- a/examples/history_aware_rag.py +++ /dev/null @@ -1,43 +0,0 @@ -from langchain_mongodb import MongoDBAtlasVectorSearch -from pymongo import MongoClient -from langchain_openai import OpenAIEmbeddings -import os -from langchain import hub -from langchain_openai import ChatOpenAI -from dotenv import load_dotenv -load_dotenv() - -from flo_ai import FloSession -from flo_ai.tools.flo_rag_retriver_tool import FloRagRetriverTool - -db_url = os.getenv("MONGO_DB_URL") - -connection_timeout = 60000 -mongo_client = MongoClient(db_url, connectTimeoutMS=connection_timeout, socketTimeoutMS=connection_timeout) -mongo_embedding_collection = (mongo_client - .get_database("dohabank") - .get_collection("products")) - -store = MongoDBAtlasVectorSearch( - collection=mongo_embedding_collection, - embedding_key="embedding", - embedding=OpenAIEmbeddings(model="text-embedding-3-small"), - index_name="bank-products-index", -) - - -llm = ChatOpenAI(temperature=0, model_name='gpt-4o') -session = FloSession(llm) - -import logging - -logging.basicConfig() -logging.getLogger("langchain.retrievers.multi_query").setLevel(logging.INFO) - -builder = FloRagRetriverTool.Builder(session, store.as_retriever()) -builder.enable_multi_query() -tool = builder.build(name="RAGTool", description="RAG to answer question by looking at db") - -# rag_tool = rag_builder.with_multi_query().build_rag_tool(name="RAGTool", description="RAG to answer question by looking at db") -print(tool.invoke({"query": "What is the interest rate on housing loans"})) - diff --git a/examples/linear_router_example.ipynb b/examples/linear_router_example.ipynb index daeaebbb..51cec457 100644 --- a/examples/linear_router_example.ipynb +++ b/examples/linear_router_example.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -19,7 +19,7 @@ "source": [ "from flo_ai import Flo\n", "from flo_ai import FloSession\n", - "from langchain_openai import ChatOpenAI, OpenAIEmbeddings\n", + "from langchain_openai import ChatOpenAI\n", "\n", "from dotenv import load_dotenv\n", "load_dotenv()" diff --git a/examples/llm_extensibility.py b/examples/llm_extensibility.py new file mode 100644 index 00000000..da32c72b --- /dev/null +++ b/examples/llm_extensibility.py @@ -0,0 +1,79 @@ +import os +from flo_ai import Flo +from flo_ai import FloSession +from pydantic import BaseModel, Field +from langchain_openai import ChatOpenAI, AzureChatOpenAI +from flo_ai.tools.flo_tool import flotool + +from dotenv import load_dotenv +load_dotenv() + +import warnings +warnings.simplefilter('default', DeprecationWarning) + +gpt35 = ChatOpenAI(temperature=0, model_name='gpt-3.5-turbo') +gpt_4o_mini = ChatOpenAI(temperature=0, model_name='gpt-4o-mini') +gpt_4o = ChatOpenAI(temperature=0, model_name='gpt-4o') +session = FloSession(gpt35) + +session.register_model("bronze", gpt35) +session.register_model("silver", gpt_4o_mini) +session.register_model("gold", gpt_4o) + +class SendEmailInput(BaseModel): + to: str = Field(description="Comma seperared list of users emails to which email needs to be sent") + message: str = Field(description="The email text to be sent") + +@flotool("email_triage", "useful for when you need to send an email to someone", argument_contract=SendEmailInput) +def email_tool(to: str, message: str): + return f"Email sent successfully to: {to}" + +session.register_tool("SendEmailTool", email_tool) + +agent_yaml = """ +apiVersion: flo/alpha-v1 +kind: FloRoutedTeam +name: invite-handler +team: + name: Personal-Assistant-Bot + router: + name: Personal-Assistant + kind: supervisor + model: silver + agents: + - name: EmailFriends + job: You job is to send an invite to the christmas party at my house to my friends and friends only, not collegues, invite their spouses too. Keep the email warm and friendly. + role: personal ai assistant + model: bronze + tools: + - name: SendEmailTool + - name: EmailColleagues + job: You job is to send an invite to the christmas party at my house to my colleagues and not friends. Keep the email formal, and DO NOT invite the spouses. + role: office ai assistant + model: gold + tools: + - name: SendEmailTool +""" +input_prompt = """ +Here is the list of user emails and there relations to me + +vishnu@gmail.com / friend +nk@gmail.com / friend +jk@gmail.com / colleague +ck@hotmail.com / friend +hk@gmail.com / colleague +jak@gmail.com / colleague +ck@gmail.com / friend. + +Please invite these nice folks to my christmas party +""" + +flo: Flo = Flo.build(session, yaml=agent_yaml) +for s in flo.stream(input_prompt): + if "__end__" not in s: + print(s) + print("----") + + + + diff --git a/examples/tool_error_handling.py b/examples/tool_error_handling.py index 73d53495..d54dded4 100644 --- a/examples/tool_error_handling.py +++ b/examples/tool_error_handling.py @@ -1,7 +1,6 @@ from flo_ai import Flo from flo_ai import FloSession from langchain_openai import ChatOpenAI -from langchain.tools import BaseTool from pydantic import BaseModel, Field from typing import List from dotenv import load_dotenv @@ -67,6 +66,7 @@ async def invoke_main(): asyncio.run(invoke_main()) + # import asyncio # async def stream_main(): diff --git a/features/flo_name.feature b/features/flo_name.feature deleted file mode 100644 index b4b94689..00000000 --- a/features/flo_name.feature +++ /dev/null @@ -1,13 +0,0 @@ -Feature: While building a flo - - Scenario Outline: Flo Name Validation - When use the name, - Then it should be - - Examples: Flo Names - | flo_name | validity | - | CorrectName | True | - | Wrong Name | False | - | correct_name | True | - | correct-name | True | - | wrong/name | False | \ No newline at end of file diff --git a/features/steps/flo_name_steps.py b/features/steps/flo_name_steps.py deleted file mode 100644 index 7bb9c9a6..00000000 --- a/features/steps/flo_name_steps.py +++ /dev/null @@ -1,15 +0,0 @@ -from behave import when, then -from flo_ai.yaml.validators import raise_for_name_error - -@when('use the name, {flo_name}') -def step_impl(context, flo_name): - isException = "False" - try: - raise_for_name_error(flo_name) - except Exception as e: - isException = "True" - context.isException = isException - -@then('it should be {validity}') -def step_impl(context, validity): - assert context.isException != validity \ No newline at end of file diff --git a/flo_ai/builders/yaml_builder.py b/flo_ai/builders/yaml_builder.py index 6a72d19e..359211dc 100644 --- a/flo_ai/builders/yaml_builder.py +++ b/flo_ai/builders/yaml_builder.py @@ -46,5 +46,5 @@ def validate_names(name_set: set, name): raise_for_name_error(name) if name in name_set: builder_logger.error(f"Duplicate name found: '{name}'") - raise FloException(f"The name '{name}' is already in the set.") + raise FloException(f"The name '{name}' is duplicate in the config. Make sure all teams and agents have unique names") name_set.add(name) \ No newline at end of file diff --git a/flo_ai/constants/common_constants.py b/flo_ai/constants/common_constants.py new file mode 100644 index 00000000..3b0bfc3b --- /dev/null +++ b/flo_ai/constants/common_constants.py @@ -0,0 +1,4 @@ +DOCUMENTATION_WEBSITE = "https://flo-ai.rootflo.ai" +DOCUMENTATION_ROUTER_ANCHOR = f"{DOCUMENTATION_WEBSITE}/basics/routers" +DOCUMENTATION_AGENT_ANCHOR = f"{DOCUMENTATION_WEBSITE}/basics/agents" +DOCUMENTATION_AGENT_TOOLS = f"{DOCUMENTATION_WEBSITE}/basics/tools" \ No newline at end of file diff --git a/flo_ai/core.py b/flo_ai/core.py index 0d78d33b..5de2c107 100644 --- a/flo_ai/core.py +++ b/flo_ai/core.py @@ -5,6 +5,7 @@ from flo_ai.state.flo_session import FloSession from flo_ai.models.flo_executable import ExecutableFlo from flo_ai.error.flo_exception import FloException +from flo_ai.constants.common_constants import DOCUMENTATION_WEBSITE from flo_ai.common.flo_logger import common_logger, builder_logger, set_global_log_level class Flo: @@ -24,6 +25,7 @@ def __init__(self, self.logger.info(f"Flo instance created for session {session.session_id}") def stream(self, query, config = None) -> Iterator[Union[dict[str, Any], Any]]: + self.validate_invoke(self.session) self.logger.info(f"Streaming query for session {self.session.session_id}: {query}") return self.runnable.stream(query, config) @@ -35,6 +37,7 @@ def invoke(self, query, config = None) -> Iterator[Union[dict[str, Any], Any]]: config = { 'callbacks' : [self.session.langchain_logger] } + self.validate_invoke(self.session) self.logger.info(f"Invoking query for session {self.session.session_id}: {query}") return self.runnable.invoke(query, config) @@ -63,4 +66,8 @@ def draw_to_file(self, filename: str, xray=True): image = PILImage.open(image_io) image.save(filename) + def validate_invoke(self, session: FloSession): + async_coroutines = filter(lambda x: (hasattr(x, "coroutine") and asyncio.iscoroutinefunction(x.coroutine)) ,session.tools.values()) + if len(list(async_coroutines)) > 0: + raise FloException(f"""You seem to have atleast one async tool registered in this session. Please use flo.async_invoke or flo.async_stream. Checkout {DOCUMENTATION_WEBSITE}""") \ No newline at end of file diff --git a/flo_ai/factory/agent_factory.py b/flo_ai/factory/agent_factory.py index 77dd2dcd..49d6992f 100644 --- a/flo_ai/factory/agent_factory.py +++ b/flo_ai/factory/agent_factory.py @@ -1,3 +1,4 @@ +from typing import Optional from flo_ai.state.flo_session import FloSession from flo_ai.yaml.config import (AgentConfig) from flo_ai.models.flo_agent import FloAgent @@ -5,7 +6,8 @@ from flo_ai.models.flo_reflection_agent import FloReflectionAgent from flo_ai.models.flo_delegation_agent import FloDelegatorAgent from flo_ai.models.flo_tool_agent import FloToolAgent -from flo_ai.models.flo_executable import ExecutableFlo, ExecutableType +from flo_ai.error.flo_exception import FloException +from flo_ai.constants.common_constants import DOCUMENTATION_AGENT_ANCHOR from enum import Enum class AgentKinds(Enum): @@ -25,7 +27,8 @@ def create(session: FloSession, agent: AgentConfig): if kind is not None: agent_kind = getattr(AgentKinds, kind, None) if agent_kind is None: - raise ValueError(f"Agent kind cannot be {kind} !") + raise ValueError(f"""Unknown agent kind: `{kind}`. The supported types are llm, tool, reflection, delegator or agentic. + Check the documentation @ {DOCUMENTATION_AGENT_ANCHOR}""") match(agent_kind): case AgentKinds.llm: return AgentFactory.__create_llm_agent(session, agent) @@ -36,21 +39,35 @@ def create(session: FloSession, agent: AgentConfig): case AgentKinds.delegator: return AgentFactory.__create_delegator_agent(session, agent) return AgentFactory.__create_agentic_agent(session, agent, tool_map) + + @staticmethod + def __resolve_model(session: FloSession, model_name: Optional[str] = None): + if model_name is None: + return session.llm + if model_name not in session.models: + raise FloException( + f"""Model not found: {model_name}. + The model you would like to use should be registered to the session using session.register_model api, + and the same model name should be used here instead of `{model_name}`""") + return session.models[model_name] @staticmethod def __create_agentic_agent(session: FloSession, agent: AgentConfig, tool_map) -> FloAgent: + agent_model = AgentFactory.__resolve_model(session, agent.model) tools = [tool_map[tool.name] for tool in agent.tools] flo_agent: FloAgent = FloAgent.Builder( session, agent, tools, + llm=agent_model, on_error=session.on_agent_error ).build() return flo_agent @staticmethod def __create_llm_agent(session: FloSession, agent: AgentConfig) -> FloLLMAgent: - builder = FloLLMAgent.Builder(session, agent) + agent_model = AgentFactory.__resolve_model(session, agent.model) + builder = FloLLMAgent.Builder(session, agent, llm=agent_model) llm_agent: FloLLMAgent = builder.build() return llm_agent @@ -61,8 +78,10 @@ def __create_runnable_agent(session: FloSession, agent: AgentConfig) -> FloLLMAg @staticmethod def __create_reflection_agent(session: FloSession, agent: AgentConfig) -> FloReflectionAgent: - return FloReflectionAgent.Builder(session, agent).build() + agent_model = AgentFactory.__resolve_model(session, agent.model) + return FloReflectionAgent.Builder(session, agent, llm=agent_model).build() @staticmethod def __create_delegator_agent(session: FloSession, agent: AgentConfig) -> FloReflectionAgent: - return FloDelegatorAgent.Builder(session, agent).build() \ No newline at end of file + agent_model = AgentFactory.__resolve_model(session, agent.model) + return FloDelegatorAgent.Builder(session, agent, llm=agent_model).build() \ No newline at end of file diff --git a/flo_ai/models/flo_delegation_agent.py b/flo_ai/models/flo_delegation_agent.py index bfdd2066..5cc71804 100644 --- a/flo_ai/models/flo_delegation_agent.py +++ b/flo_ai/models/flo_delegation_agent.py @@ -1,3 +1,4 @@ +from typing import Optional from langchain_core.runnables import Runnable from flo_ai.yaml.config import AgentConfig from flo_ai.state.flo_session import FloSession @@ -5,6 +6,7 @@ from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from flo_ai.models.flo_executable import ExecutableType from langchain_core.output_parsers.openai_functions import JsonOutputFunctionsParser +from langchain_core.language_models import BaseLanguageModel class FloDelegatorAgent(ExecutableFlo): @@ -20,14 +22,15 @@ def __init__(self, class Builder(): def __init__(self, session: FloSession, - agentConfig: AgentConfig) -> None: + agentConfig: AgentConfig, + llm: Optional[BaseLanguageModel] = None) -> None: self.config = agentConfig delegator_base_system_message = ( "You are a delegator tasked with routing a conversation between the" " following {member_type}: {members}. Given the following rules," " respond with the worker to act next " ) - self.llm = session.llm + self.llm = session.llm if llm is None else llm self.options = [x.name for x in agentConfig.to] self.llm_router_prompt = ChatPromptTemplate.from_messages( [ diff --git a/flo_ai/models/flo_tool_agent.py b/flo_ai/models/flo_tool_agent.py index 50ac9650..0783bd39 100644 --- a/flo_ai/models/flo_tool_agent.py +++ b/flo_ai/models/flo_tool_agent.py @@ -22,6 +22,5 @@ def __init__(self, self.runnable = tool_runnable self.config = config - def build(self) -> Runnable: return FloToolAgent(self.runnable, self.config) diff --git a/flo_ai/router/flo_custom_router.py b/flo_ai/router/flo_custom_router.py deleted file mode 100644 index 139ffb59..00000000 --- a/flo_ai/router/flo_custom_router.py +++ /dev/null @@ -1,101 +0,0 @@ -from flo_ai.yaml.config import TeamConfig -from flo_ai.router.flo_router import FloRouter -from langgraph.graph import StateGraph, END, START -from flo_ai.state.flo_state import TeamFloAgentState -from flo_ai.models.flo_routed_team import FloRoutedTeam -from flo_ai.models.flo_team import FloTeam -from flo_ai.state.flo_session import FloSession -from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder -from langchain_core.output_parsers.openai_functions import JsonOutputFunctionsParser - -class FloCustomRouter(FloRouter): - - def __init__(self, session: FloSession, config: TeamConfig, flo_team: FloTeam): - self.llm = session.llm - super().__init__(session=session, name=config.name, - flo_team=flo_team, executor=None, config=config) - self.router_config = config.router - - def build_router_fn(self, members, rule): - def router_fn(state: TeamFloAgentState): - conditional_map = {k: k for k in members} - - prompt = ChatPromptTemplate.from_messages( - [ - MessagesPlaceholder(variable_name="messages"), - ( - "system", - "Given the conversation above, who should act next? Select one of: {members}. The rule is given below:" - ), - ('system', rule) - ] - ).partial(members=", ".join(members)) - - - function_def = { - "name": "route", - "description": "Select the next role.", - "parameters": { - "title": "routeSchema", - "type": "object", - "properties": { - "next": { - "title": "Next", - "anyOf": [ - {"enum": members}, - ], - } - }, - "required": ["next"], - } - } - - chain = prompt | self.llm.bind_functions(functions=[function_def], function_call="route") | JsonOutputFunctionsParser() - output = chain.invoke(state) - - next = output['next'] - state['next'] = next - - return conditional_map[next] - - return router_fn - - def build_graph(self): - flo_agent_nodes = [self.build_node(flo_agent) for flo_agent in self.members] - workflow = StateGraph(TeamFloAgentState) - - for flo_agent_node in flo_agent_nodes: - agent_name = flo_agent_node.name - workflow.add_node(agent_name, flo_agent_node.func) - - router_config = self.router_config - workflow.add_edge(START, router_config.start_node) - for edge_config in router_config.edges: - edge = edge_config.edge - if len(edge) > 2: - if edge_config.type == 'conditional_llm': - members = edge[1:] - router = self.build_router_fn(members, edge_config.rule) - workflow.add_conditional_edges(edge[0], router, {item: item for item in members}) - else: - workflow.add_edge(edge[0], edge[1]) - - if isinstance(router_config.end_node, list): - for node in router_config.end_node: - workflow.add_edge(node, END) - else: - workflow.add_edge(router_config.end_node, END) - - workflow_graph = workflow.compile() - - return FloRoutedTeam(self.flo_team.name, workflow_graph, self.flo_team.config) - - class Builder(): - - def __init__(self, session: FloSession, config: TeamConfig, flo_team: FloTeam,) -> None: - self.session = session - self.config = config - self.team = flo_team - - def build(self): - return FloCustomRouter(self.session, self.config, self.team, ) \ No newline at end of file diff --git a/flo_ai/router/flo_linear.py b/flo_ai/router/flo_linear.py index 19865ca3..53f8f36d 100644 --- a/flo_ai/router/flo_linear.py +++ b/flo_ai/router/flo_linear.py @@ -57,7 +57,7 @@ def build_graph(self): class Builder(): - def __init__(self, session: FloSession, config: TeamConfig, flo_team: FloTeam,) -> None: + def __init__(self, session: FloSession, config: TeamConfig, flo_team: FloTeam) -> None: self.config = config self.session = session self.team = flo_team diff --git a/flo_ai/router/flo_router.py b/flo_ai/router/flo_router.py index c6e16db0..96debcce 100644 --- a/flo_ai/router/flo_router.py +++ b/flo_ai/router/flo_router.py @@ -1,18 +1,17 @@ +import functools +from typing import Union from abc import ABC, abstractmethod +from langgraph.graph import END, StateGraph +from flo_ai.models.flo_node import FloNode from flo_ai.state.flo_session import FloSession from flo_ai.models.flo_team import FloTeam from flo_ai.models.flo_member import FloMember from flo_ai.yaml.config import TeamConfig from flo_ai.models.flo_routed_team import FloRoutedTeam -from flo_ai.models.flo_agent import FloAgent -from flo_ai.state.flo_state import TeamFloAgentState, STATE_NAME_LOOP_CONTROLLER, STATE_NAME_NEXT -from flo_ai.models.flo_node import FloNode from flo_ai.constants.prompt_constants import FLO_FINISH -from langgraph.graph import END,StateGraph from flo_ai.models.flo_executable import ExecutableType -import functools -from typing import Union +from flo_ai.state.flo_state import TeamFloAgentState, STATE_NAME_LOOP_CONTROLLER, STATE_NAME_NEXT from flo_ai.constants.flo_node_contants import (INTERNAL_NODE_REFLECTION_MANAGER, INTERNAL_NODE_DELEGATION_MANAGER) diff --git a/flo_ai/router/flo_router_factory.py b/flo_ai/router/flo_router_factory.py index 279f84a4..86e93da6 100644 --- a/flo_ai/router/flo_router_factory.py +++ b/flo_ai/router/flo_router_factory.py @@ -1,3 +1,4 @@ +from typing import Optional from flo_ai.state.flo_session import FloSession from flo_ai.router.flo_supervisor import FloSupervisor from flo_ai.router.flo_llm_router import FloLLMRouter @@ -5,20 +6,33 @@ from flo_ai.yaml.config import TeamConfig from flo_ai.models.flo_team import FloTeam from flo_ai.router.flo_router import FloRouter -from flo_ai.router.flo_custom_router import FloCustomRouter +from flo_ai.error.flo_exception import FloException +from flo_ai.constants.common_constants import DOCUMENTATION_ROUTER_ANCHOR class FloRouterFactory: @staticmethod def create(session: FloSession, team_config: TeamConfig, flo_team: FloTeam) -> FloRouter: router_kind = team_config.router.kind + router_model = FloRouterFactory.__resolve_model(session, team_config.router.model) if router_kind == 'supervisor': - return FloSupervisor.Builder(session, team_config, flo_team).build() + return FloSupervisor.Builder(session, team_config, flo_team, llm=router_model).build() elif router_kind == 'linear': return FloLinear.Builder(session, team_config, flo_team).build() elif router_kind == 'llm': - return FloLLMRouter.Builder(session, team_config, flo_team).build() - elif router_kind == 'custom': - return FloCustomRouter.Builder(session, team_config, flo_team).build() + return FloLLMRouter.Builder(session, team_config, flo_team, llm=router_model).build() else: - raise Exception("Unknown router type") + raise Exception(f"""Unknown router type: {router_kind}. + The supported types are supervisor, linear and llm. + Check the documentation @ {DOCUMENTATION_ROUTER_ANCHOR}""") + + @staticmethod + def __resolve_model(session: FloSession, model_name: Optional[str] = None): + if model_name is None: + return session.llm + if model_name not in session.models: + raise FloException( + f"""Model not found: {model_name}. + The model you would like to use should be registered to the session using session.register_model api, + and the same model name should be used here instead of `{model_name}`""") + return session.models[model_name] diff --git a/flo_ai/state/flo_session.py b/flo_ai/state/flo_session.py index 8a6dcd38..402dbc94 100644 --- a/flo_ai/state/flo_session.py +++ b/flo_ai/state/flo_session.py @@ -1,3 +1,4 @@ +import warnings from typing import Union, Dict from langchain_core.language_models import BaseLanguageModel from langchain_core.tools import BaseTool @@ -18,15 +19,18 @@ def _handle_agent_error(error) -> str: class FloSession: def __init__(self, - llm: BaseLanguageModel, + default_llm: BaseLanguageModel = None, loop_size: int = 2, max_loop: int = 3, + llm: BaseLanguageModel = None, log_level: Optional[str] = "INFO", custom_langchainlog_handler: Optional[FloLangchainLogger] = None, on_agent_error=_handle_agent_error) -> None: self.session_id = str(random_str(16)) - self.llm = llm + self.llm = self.resolve_llm(default_llm, llm) + self.tools = dict() + self.models: Dict[str, BaseLanguageModel] = dict() self.tools: Dict[str, BaseTool] = dict() self.counter = dict() self.navigation: list[str] = list() @@ -41,6 +45,18 @@ def __init__(self, self.logger.info(f"New FloSession created with ID: {self.session_id}") self.langchain_logger = custom_langchainlog_handler or FloLangchainLogger(self.session_id, log_level=log_level, logger_name=f"FloLangChainLogger-{self.session_id}") + def resolve_llm(self, default_llm: BaseLanguageModel = None, llm: BaseLanguageModel = None): + if default_llm is not None: + return default_llm + if llm: + warnings.warn( + "`llm` is deprecated and will be removed in a future version. " + "Please use `default_llm` instead.", + DeprecationWarning, + stacklevel=2, + ) + return llm + def init_logger(self, log_level: str): FloLogger.set_log_level("SESSION", log_level) @@ -48,6 +64,11 @@ def register_tool(self, name: str, tool: BaseTool): self.tools[name] = tool self.logger.info(f"Tool '{name}' registered for session {self.session_id}") return self + + def register_model(self, name: str, model: BaseLanguageModel): + self.models[name] = model + self.logger.info(f"Model '{name}' registered for session {self.session_id}") + return self def append(self, node: str) -> int: self.logger.debug(f"Appending node: {node}") diff --git a/flo_ai/tools/flo_tool.py b/flo_ai/tools/flo_tool.py index 97e44d2e..92dcb94d 100644 --- a/flo_ai/tools/flo_tool.py +++ b/flo_ai/tools/flo_tool.py @@ -2,6 +2,8 @@ from langchain.tools import tool from functools import wraps from typing import Optional +from flo_ai.constants.common_constants import DOCUMENTATION_AGENT_TOOLS +from flo_ai.error.flo_exception import FloException def flotool( name: str, @@ -11,18 +13,28 @@ def flotool( def decorator(func): func.__doc__ = func.__doc__ or description - + @tool(name, args_schema=argument_contract) @wraps(func) - async def wrapper(*args, **kwargs): + def wrapper(*args, **kwargs): try: - if asyncio.iscoroutinefunction(func): - return await func(*args, **kwargs) return func(*args, **kwargs) except Exception as e: if unsafe: raise e return f"An error occurred while executing the tool: {str(e)}, please retry with the corresponding fix" - return wrapper + + + @tool(name, args_schema=argument_contract) + @wraps(func) + async def async_wrapper(*args, **kwargs): + try: + return await func(*args, **kwargs) + except Exception as e: + if unsafe: + raise e + return f"An error occurred while executing the tool: {str(e)}, please retry with the corresponding fix" + + return async_wrapper if asyncio.iscoroutinefunction(func) else wrapper return decorator diff --git a/flo_ai/yaml/config.py b/flo_ai/yaml/config.py index 06d30faf..b0daa979 100644 --- a/flo_ai/yaml/config.py +++ b/flo_ai/yaml/config.py @@ -46,6 +46,7 @@ class AgentConfig(BaseModel): tools: List[ToolConfig] = [] to: Optional[List[MemberKey]] = None retry: Optional[int] = 1 + model: Optional[str] = None class EdgeConfig(BaseModel): edge: List[str] @@ -55,6 +56,7 @@ class EdgeConfig(BaseModel): class RouterConfig(BaseModel): name: str kind: str + model: Optional[str] = None job: Optional[str] = None start_node: Optional[str] = None end_node: Union[Optional[str], List[str]] = None diff --git a/poetry.lock b/poetry.lock index 1424bd6e..b8504c37 100644 --- a/poetry.lock +++ b/poetry.lock @@ -150,13 +150,13 @@ files = [ [[package]] name = "anthropic" -version = "0.36.1" +version = "0.39.0" description = "The official Python library for the anthropic API" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anthropic-0.36.1-py3-none-any.whl", hash = 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bd3ebffa..0cbdb9ae 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,8 +28,9 @@ langchain-anthropic = "^0.2.3" db-sqlite3 = "^0.0.1" peewee = "^3.17.6" python-dotenv = "^1.0.1" -behave = "^1.2.6" wikipedia = "^1.4.0" +pytest = "^8.3.3" +pytest-asyncio = "^0.24.0" [build-system] requires = ["poetry-core"] diff --git a/tests/test_comonent_name.py b/tests/test_comonent_name.py new file mode 100644 index 00000000..86188350 --- /dev/null +++ b/tests/test_comonent_name.py @@ -0,0 +1,18 @@ +import pytest +from flo_ai.yaml.validators import raise_for_name_error + +@pytest.mark.parametrize('flo_name, validity', [ + ('CorrectName', True), + ('Wrong Name', False), + ('correct_name', True), + ('correct-name', True), + ('wrong/name', False), +]) +def test_flo_component_names(flo_name, validity): + isException = False + try: + raise_for_name_error(flo_name) + except Exception as e: + isException = True + assert isException != validity + \ No newline at end of file diff --git a/tests/test_flotool.py b/tests/test_flotool.py new file mode 100644 index 00000000..c36f91c8 --- /dev/null +++ b/tests/test_flotool.py @@ -0,0 +1,32 @@ +import pytest +import asyncio +from typing import List +from flo_ai.tools.flo_tool import flotool + +@flotool(name="AdditionTool", description="Tool to add numbers") +async def addition_tool(numbers: List[int]) -> str: + result = sum(numbers) + await asyncio.sleep(1) + return f"The sum is {result}" + +@flotool(name="MultiplicationTool", description="Tool to multiply numbers to get product of numbers") +def mul_tool(numbers: List[int]) -> str: + result = sum(numbers) + return f"The product is {result}" + +def test_flotool_async(): + built_tool = asyncio.iscoroutinefunction(addition_tool.coroutine) + assert built_tool + +def test_flotool_sync(): + built_tool = asyncio.iscoroutinefunction(mul_tool.coroutine) + assert not built_tool + +@pytest.mark.asyncio +async def test_flotool_invoke_with_async_tool(): + result = await addition_tool.ainvoke({"numbers": [1, 32, 2]}) + assert f"The sum is 35" == result + +def test_flotool_invoke_with_sync_tool(): + result = mul_tool.invoke({"numbers": [1, 32, 2]}) + assert f"The product is 35" == result \ No newline at end of file