Observer: Create callbacks for agent, router & tools (#54)

* Setting up callbacks

* Adding callbacks to models

* Renaming to model_name

* Completing callbacks for agent start and ends

* Fixing precommit hook issues

* Updating poetry lock

* Removing line

* Fix for properly registering the agent models

examples/llm_extensibility.py

@@ -3,6 +3,7 @@
 from pydantic import BaseModel, Field
 from langchain_openai import ChatOpenAI
 from flo_ai.tools.flo_tool import flotool
+from flo_ai.state.flo_callbacks import flo_agent_callback, FloCallbackResponse
 
 from dotenv import load_dotenv
 import warnings
@@ -38,7 +39,15 @@ def email_tool(to: str, message: str):
     return f'Email sent successfully to: {to}'
 
 
+@flo_agent_callback
+def agent_callback(response: FloCallbackResponse):
+    print('------------- START AGENT CALLBACK -----------')
+    print(response)
+    print('------------- END AGENT CALLBACK -----------')
+
+
 session.register_tool('SendEmailTool', email_tool)
+session.register_callback(agent_callback)
 
 agent_yaml = """
 apiVersion: flo/alpha-v1

examples/simple_blogging_team.py

@@ -33,7 +33,7 @@
 
 llm = ChatOpenAI(temperature=0, model_name='gpt-4o-mini')
 session = (
-    FloSession(llm, log_level='INFO')
+    FloSession(llm)
     .register_tool(name='TavilySearchResults', tool=TavilySearchResults())
     .register_tool(
         name='DummyTool',
@@ -43,5 +43,5 @@
 
 Flo.set_log_level('INFO')
 flo: Flo = Flo.build(session, yaml=yaml_data)
-# data = flo.invoke(input_prompt)
+data = flo.invoke(input_prompt)
 # print((data['messages'][-1]).content)

flo_ai/common/flo_langchain_logger.py

@@ -2,11 +2,13 @@
 from langchain.callbacks.base import BaseCallbackHandler
 from langchain.schema import AgentAction, AgentFinish, LLMResult
 from flo_ai.common.flo_logger import get_logger
+from flo_ai.state.flo_callbacks import FloToolCallback
 
 
 class FloLangchainLogger(BaseCallbackHandler):
-    def __init__(self, session_id: str):
+    def __init__(self, session_id: str, tool_callbacks: List[FloToolCallback] = []):
         self.session_id = session_id
+        self.tool_callbacks = tool_callbacks
 
     def on_llm_start(
         self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
@@ -41,14 +43,20 @@ def on_tool_start(
         self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
     ) -> None:
         get_logger().debug(f'onToolStart: {input_str}', self)
+        [
+            x.on_tool_start(serialized['name'], kwargs['inputs'], kwargs)
+            for x in self.tool_callbacks
+        ]
 
     def on_tool_end(self, output: str, **kwargs: Any) -> None:
         get_logger().debug(f'onToolEnd: {output}', self)
+        [x.on_tool_end(kwargs['name'], output, kwargs) for x in self.tool_callbacks]
 
     def on_tool_error(
         self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
     ) -> None:
         get_logger().debug(f'onToolError: {error}', self)
+        [x.on_tool_error(kwargs['name'], error, kwargs) for x in self.tool_callbacks]
 
     def on_text(self, text: str, **kwargs: Any) -> None:
         get_logger().debug(f'onText: {text}', self)

flo_ai/core.py

@@ -16,6 +16,7 @@
     set_logger_internal,
     FloLogConfig,
 )
+from langchain.tools import StructuredTool
 
 
 class Flo:
@@ -90,11 +91,14 @@ def draw_to_file(self, filename: str, xray=True):
     def validate_invoke(self, session: FloSession):
         async_coroutines = filter(
             lambda x: (
-                hasattr(x, 'coroutine') and asyncio.iscoroutinefunction(x.coroutine)
+                isinstance(x, StructuredTool)
+                and hasattr(x, 'coroutine')
+                and asyncio.iscoroutinefunction(x.coroutine)
             ),
             session.tools.values(),
         )
-        if len(list(async_coroutines)) > 0:
+        async_tools = list(async_coroutines)
+        if len(async_tools) > 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}"""
             )

flo_ai/factory/agent_factory.py

@@ -60,21 +60,30 @@ def __create_agentic_agent(
         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
+            session,
+            agent,
+            tools,
+            llm=agent_model,
+            on_error=session.on_agent_error,
+            model_name=agent.model,
         ).build()
         return flo_agent
 
     @staticmethod
     def __create_llm_agent(session: FloSession, agent: AgentConfig) -> FloLLMAgent:
         agent_model = AgentFactory.__resolve_model(session, agent.model)
-        builder = FloLLMAgent.Builder(session, agent, llm=agent_model)
+        builder = FloLLMAgent.Builder(
+            session, agent, llm=agent_model, model_name=agent.model
+        )
         llm_agent: FloLLMAgent = builder.build()
         return llm_agent
 
     @staticmethod
     def __create_runnable_agent(session: FloSession, agent: AgentConfig) -> FloLLMAgent:
         runnable = session.tools[agent.tools[0].name]
-        return FloToolAgent.Builder(session, agent, runnable).build()
+        return FloToolAgent.Builder(
+            session, agent, runnable, model_name=agent.model
+        ).build()
 
     @staticmethod
     def __create_reflection_agent(

flo_ai/models/flo_agent.py

@@ -13,9 +13,14 @@
 
 class FloAgent(ExecutableFlo):
     def __init__(
-        self, agent: Runnable, executor: AgentExecutor, config: AgentConfig
+        self,
+        agent: Runnable,
+        executor: AgentExecutor,
+        config: AgentConfig,
+        model_nick_name: str,
     ) -> None:
         super().__init__(config.name, executor, ExecutableType.agentic)
+        self.model_name = model_nick_name
         self.agent: Runnable = (agent,)
         self.executor: AgentExecutor = executor
         self.config: AgentConfig = config
@@ -30,9 +35,11 @@ def __init__(
             role: Optional[str] = None,
             llm: Union[BaseLanguageModel, None] = None,
             on_error: Union[str, Callable] = True,
+            model_name: Union[str, None] = 'default',
         ) -> None:
             prompt: Union[ChatPromptTemplate, str] = config.job
             self.name: str = config.name
+            self.model_name = model_name
             self.llm = llm if llm is not None else session.llm
             self.config = config
             system_prompts = (
@@ -60,4 +67,6 @@ def build(self) -> AgentExecutor:
                 return_intermediate_steps=True,
                 handle_parsing_errors=self.on_error,
             )
-            return FloAgent(agent, executor, self.config)
+            return FloAgent(
+                agent, executor, self.config, model_nick_name=self.model_name
+            )

flo_ai/models/flo_delegation_agent.py

@@ -10,24 +10,29 @@
 
 
 class FloDelegatorAgent(ExecutableFlo):
-    def __init__(self, executor: Runnable, config: AgentConfig) -> None:
+    def __init__(
+        self, executor: Runnable, config: AgentConfig, model_name: str
+    ) -> None:
         super().__init__(config.name, executor, ExecutableType.delegator)
         self.executor: Runnable = executor
         self.config: AgentConfig = config
+        self.model_name = model_name
 
     class Builder:
         def __init__(
             self,
             session: FloSession,
             agentConfig: AgentConfig,
             llm: Optional[BaseLanguageModel] = None,
+            model_name: str = 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.model_name = model_name
             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(
@@ -75,4 +80,6 @@ def build(self):
                 | JsonOutputFunctionsParser()
             )
 
-            return FloDelegatorAgent(executor=chain, config=self.config)
+            return FloDelegatorAgent(
+                executor=chain, config=self.config, model_name=self.model_name
+            )

flo_ai/models/flo_llm_agent.py

@@ -10,18 +10,23 @@
 
 
 class FloLLMAgent(ExecutableFlo):
-    def __init__(self, executor: Runnable, config: AgentConfig) -> None:
+    def __init__(
+        self, executor: Runnable, config: AgentConfig, model_name: str
+    ) -> None:
         super().__init__(config.name, executor, ExecutableType.llm)
         self.executor: Runnable = executor
         self.config: AgentConfig = config
+        self.model_name: str = model_name
 
     class Builder:
         def __init__(
             self,
             session: FloSession,
             config: AgentConfig,
             llm: Union[BaseLanguageModel, None] = None,
+            model_name: str = None,
         ) -> None:
+            self.model_name = model_name
             prompt: Union[ChatPromptTemplate, str] = config.job
 
             self.name: str = config.name
@@ -42,4 +47,4 @@ def __init__(
 
         def build(self) -> Runnable:
             executor = self.prompt | self.llm | StrOutputParser()
-            return FloLLMAgent(executor, self.config)
+            return FloLLMAgent(executor, self.config, self.model_name)

flo_ai/models/flo_node.py

@@ -6,7 +6,9 @@
 from langchain_core.messages import HumanMessage
 from flo_ai.yaml.config import AgentConfig, TeamConfig
 from flo_ai.models.flo_executable import ExecutableType
-from typing import Union
+from flo_ai.state.flo_session import FloSession
+from typing import Union, Type, List
+from flo_ai.state.flo_callbacks import FloAgentCallback, FloRouterCallback, FloCallback
 
 
 class FloNode:
@@ -23,19 +25,26 @@ def __init__(
         self.config: Union[AgentConfig | TeamConfig] = config
 
     class Builder:
+        def __init__(self, session: FloSession) -> None:
+            self.session = session
+
         def build_from_agent(self, flo_agent: FloAgent) -> 'FloNode':
             agent_func = functools.partial(
                 FloNode.Builder.__teamflo_agent_node,
                 agent=flo_agent.runnable,
                 name=flo_agent.name,
                 agent_config=flo_agent.config,
+                session=self.session,
+                model_name=flo_agent.model_name,
             )
             return FloNode(agent_func, flo_agent.name, flo_agent.type, flo_agent.config)
 
         def build_from_team(self, flo_team: FloRoutedTeam) -> 'FloNode':
             team_chain = (
                 functools.partial(
-                    FloNode.Builder.__teamflo_team_node, members=flo_team.runnable.nodes
+                    FloNode.Builder.__teamflo_team_node,
+                    members=flo_team.runnable.nodes,
+                    session=self.session,
                 )
                 | flo_team.runnable
             )
@@ -56,6 +65,8 @@ def build_from_router(self, flo_router) -> 'FloNode':
                 agent=flo_router.executor,
                 name=flo_router.router_name,
                 agent_config=flo_router.config,
+                session=self.session,
+                model_name=flo_router.model_name,
             )
             return FloNode(
                 router_func, flo_router.router_name, flo_router.type, flo_router.config
@@ -67,20 +78,95 @@ def __teamflo_agent_node(
             agent: AgentExecutor,
             name: str,
             agent_config: AgentConfig,
+            session: FloSession,
+            model_name: str,
         ):
-            result = agent.invoke(state)
-            output = result if isinstance(result, str) else result['output']
+            agent_cbs: List[FloAgentCallback] = FloNode.Builder.__filter_callbacks(
+                session, FloAgentCallback
+            )
+            flo_cbs: List[FloCallback] = FloNode.Builder.__filter_callbacks(
+                session, FloCallback
+            )
+            [
+                callback.on_agent_start(name, model_name, state['messages'], **{})
+                for callback in agent_cbs
+            ]
+            [
+                callback.on_agent_start(name, model_name, state['messages'], **{})
+                for callback in flo_cbs
+            ]
+            try:
+                result = agent.invoke(state)
+                output = result if isinstance(result, str) else result['output']
+            except Exception as e:
+                [
+                    callback.on_agent_error(name, model_name, e, **{})
+                    for callback in agent_cbs
+                ]
+                [
+                    callback.on_agent_error(name, model_name, e, **{})
+                    for callback in flo_cbs
+                ]
+                raise e
+            [
+                callback.on_agent_end(name, model_name, output, **{})
+                for callback in agent_cbs
+            ]
+            [
+                callback.on_agent_start(name, model_name, output, **{})
+                for callback in flo_cbs
+            ]
             return {STATE_NAME_MESSAGES: [HumanMessage(content=output, name=name)]}
 
+        @staticmethod
+        def __filter_callbacks(session: FloSession, type: Type):
+            cbs = session.callbacks
+            return list(filter(lambda callback: isinstance(callback, type), cbs))
+
         @staticmethod
         def __teamflo_router_node(
             state: TeamFloAgentState,
             agent: AgentExecutor,
             name: str,
             agent_config: AgentConfig,
+            session: FloSession,
+            model_name: str,
         ):
-            result = agent.invoke(state)
-            nextNode = result if isinstance(result, str) else result['next']
+            agent_cbs: List[FloRouterCallback] = FloNode.Builder.__filter_callbacks(
+                session, FloRouterCallback
+            )
+            flo_cbs: List[FloCallback] = FloNode.Builder.__filter_callbacks(
+                session, FloCallback
+            )
+            [
+                callback.on_router_start(name, model_name, state['messages'], **{})
+                for callback in agent_cbs
+            ]
+            [
+                callback.on_router_start(name, model_name, state['messages'], **{})
+                for callback in flo_cbs
+            ]
+            try:
+                result = agent.invoke(state)
+                nextNode = result if isinstance(result, str) else result['next']
+            except Exception as e:
+                [
+                    callback.on_router_error(name, model_name, e, **{})
+                    for callback in agent_cbs
+                ]
+                [
+                    callback.on_router_error(name, model_name, e, **{})
+                    for callback in flo_cbs
+                ]
+                raise e
+            [
+                callback.on_router_end(name, model_name, nextNode, **{})
+                for callback in agent_cbs
+            ]
+            [
+                callback.on_router_start(name, model_name, nextNode, **{})
+                for callback in flo_cbs
+            ]
             return {'next': nextNode}
 
         @staticmethod