LLamaIndexConversableAgent is available in llama_index package?

[mraguth]

We are exploring autogen and llama index integrations via this below-defined notebook by Autogen package.

https://github.com/microsoft/autogen/blob/1582927ccd4de493be0d406ce59cb9cae729ed04/notebook/agentchat_group_chat_with_llamaindex_agents.ipynb#L133

It seems like 'LLamaIndexConversableAgent 'Is not available anymore. please help.

from llamaindex_conversable_agent import LLamaIndexConversableAgent

[dosubot[bot]]

The LLamaIndexConversableAgent class is not available in the llama_index package. Instead, you can achieve similar functionality using the create_llama_chat_agent function, which sets up a chat agent using the CONVERSATIONAL_REACT_DESCRIPTION agent type.

Here is the relevant code snippet:

from llama_index.legacy.langchain_helpers.agents.toolkits import LlamaToolkit
from llama_index.legacy.bridge.langchain import BaseLLM, BaseCallbackManager
from llama_index.legacy.langchain_helpers.agents.agents import create_llama_chat_agent

# Initialize your LlamaToolkit
toolkit = LlamaToolkit()

# Initialize your BaseLLM
llm = BaseLLM()

# Optionally, initialize a callback manager
callback_manager = BaseCallbackManager()

# Optionally, define additional arguments for the agent
agent_kwargs = {
    # Add any specific keyword arguments for the agent here
}

# Create the chat agent
chat_agent = create_llama_chat_agent(
    toolkit=toolkit,
    llm=llm,
    callback_manager=callback_manager,
    agent_kwargs=agent_kwargs
)

This function sets up a chat agent using the CONVERSATIONAL_REACT_DESCRIPTION agent type. Additionally, the create_llama_agent function provides flexibility to specify different agent types, such as zero-shot-react-description, react-docstore, self-ask-with-search, chat-zero-shot-react-description, and chat-conversational-react-description ^[1][2].

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[mraguth]

@dosu ... one last error

--------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[44], [line 31](vscode-notebook-cell:?execution_count=44&line=31)
     [28](vscode-notebook-cell:?execution_count=44&line=28) llm = llm
     [30](vscode-notebook-cell:?execution_count=44&line=30) # Optionally, initialize a callback manager
---> [31](vscode-notebook-cell:?execution_count=44&line=31) callback_manager = BaseCallbackManager()
     [33](vscode-notebook-cell:?execution_count=44&line=33) # Optionally, define additional arguments for the agent
     [34](vscode-notebook-cell:?execution_count=44&line=34) agent_kwargs = {
     [35](vscode-notebook-cell:?execution_count=44&line=35)     # Add any specific keyword arguments for the agent here
     [36](vscode-notebook-cell:?execution_count=44&line=36) }

TypeError: BaseCallbackManager.__init__() missing 1 required positional argument: 'handlers'

[dosubot[bot]]

To resolve the TypeError and correctly initialize the BaseCallbackManager, you need to ensure that the handlers parameter is correctly passed as a list of BaseCallbackHandler instances. Here is an example of how you can initialize the CallbackManager:

from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload

# Assuming you have a custom handler that inherits from BaseCallbackHandler
class CustomHandler(BaseCallbackHandler):
    def on_event_start(self, event_type, payload, event_id, parent_id, **kwargs):
        print(f"Event {event_type} started with ID {event_id}")

    def on_event_end(self, event_type, payload, event_id, **kwargs):
        print(f"Event {event_type} ended with ID {event_id}")

# Initialize the custom handler
custom_handler = CustomHandler()

# Initialize the CallbackManager with the custom handler
callback_manager = CallbackManager(handlers=[custom_handler])

# Use the callback manager
with callback_manager.event(CBEventType.RETRIEVE, payload={EventPayload.QUERY_STR: "example query"}) as event:
    event.on_start(payload={"key": "value"})
    # ... perform some operations ...
    event.on_end(payload={"key": "value"})

This example demonstrates how to create a custom handler, initialize the CallbackManager with that handler, and use the callback manager to manage events. Make sure that the handlers parameter is a list of BaseCallbackHandler instances to avoid any TypeError ^[1][2].

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[mraguth]

@dosu Error again:

TypeError: Can't instantiate abstract class CustomHandler without an implementation for abstract methods 'end_trace', 'start_trace'

[dosubot[bot]]

To resolve the TypeError indicating that CustomHandler cannot be instantiated without implementing the abstract methods end_trace and start_trace, you need to provide implementations for these methods in your CustomHandler class. Here is an updated example:

from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.callbacks.schema import CBEventType, EventPayload

# Custom handler inheriting from BaseCallbackHandler
class CustomHandler(BaseCallbackHandler):
    def on_event_start(self, event_type, payload, event_id, parent_id, **kwargs):
        print(f"Event {event_type} started with ID {event_id}")

    def on_event_end(self, event_type, payload, event_id, **kwargs):
        print(f"Event {event_type} ended with ID {event_id}")

    def start_trace(self, trace_id=None):
        print(f"Trace started with ID {trace_id}")

    def end_trace(self, trace_id=None, trace_map=None):
        print(f"Trace ended with ID {trace_id}")

# Initialize the custom handler
custom_handler = CustomHandler()

# Initialize the CallbackManager with the custom handler
callback_manager = CallbackManager(handlers=[custom_handler])

# Use the callback manager
with callback_manager.event(CBEventType.RETRIEVE, payload={EventPayload.QUERY_STR: "example query"}) as event:
    event.on_start(payload={"key": "value"})
    # ... perform some operations ...
    event.on_end(payload={"key": "value"})

This example includes the required start_trace and end_trace methods, allowing you to instantiate CustomHandler without errors ^[1][2].

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