Agentinitializer

[HAL9KKK]

In langflow 1.0.15 I do nofind the Agentinitializer, how it can be replaced? or how can I istantiate a simple agent?

[dosubot[bot]]

To replace the AgentInitializer or instantiate a simple agent in Langflow 1.0.15, you can use the AgentCreator class provided in the __init__.py file of the agents module. Here is an example of how you can instantiate a simple agent using this class:

from langflow.interface.agents import AgentCreator
from langchain.llms import YourLanguageModel
from langchain.tools import YourTool

# Create an instance of the AgentCreator
agent_creator = AgentCreator()

# Define your language model and tools
llm = YourLanguageModel()
tools = [YourTool()]

# Build the agent configuration
config = agent_creator.build_config()

# Instantiate the agent
agent = agent_creator.build(
    agent=config['agent']['value'],
    llm=llm,
    tools=tools,
    max_iterations=config['max_iterations']['value']
)

# Now you can use the agent
print(agent)

In this example, replace YourLanguageModel and YourTool with the actual implementations of your language model and tools. The build method of AgentCreator is used to create the agent with the specified configuration ^{[1][[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json)}.

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[HAL9KKK]

AgentCreator is not present in the langflow UI, how can I add it in the canvas?

[dosubot[bot]]

To add the AgentCreator in the Langflow UI canvas, you can follow the pattern used for adding other components like CrewAIAgentComponent. Here is an example of how you can define and add an AgentCreator component:

1. Define the AgentCreator component in your JSON structure similar to other components.

2. Ensure that the AgentCreator component has the necessary fields and connections.

Here is an example JSON snippet to add an AgentCreator component:

{
  "data": {
    "description": "Creates an agent.",
    "display_name": "Agent Creator",
    "id": "AgentCreatorComponent-XYZ123",
    "node": {
      "base_classes": [
        "AgentCreator"
      ],
      "beta": false,
      "conditional_paths": [],
      "custom_fields": {},
      "description": "Creates an agent.",
      "display_name": "Agent Creator",
      "documentation": "https://docs.example.com/agent-creator",
      "edited": false,
      "field_order": [
        "agent_name",
        "agent_type",
        "configuration",
        "llm",
        "memory",
        "verbose",
        "kwargs"
      ],
      "frozen": false,
      "icon": "AgentCreator",
      "output_types": [],
      "outputs": [
        {
          "cache": true,
          "display_name": "Agent",
          "method": "build_output",
          "name": "output",
          "selected": "Agent",
          "types": [
            "Agent"
          ],
          "value": "__UNDEFINED__"
        }
      ],
      "pinned": false,
      "template": {
        "_type": "Component",
        "agent_name": {
          "advanced": false,
          "display_name": "Agent Name",
          "type": "str",
          "value": ""
        },
        "agent_type": {
          "advanced": false,
          "display_name": "Agent Type",
          "type": "str",
          "value": ""
        },
        "configuration": {
          "advanced": false,
          "display_name": "Configuration",
          "type": "dict",
          "value": {}
        },
        "llm": {
          "advanced": false,
          "display_name": "Language Model",
          "type": "LanguageModel",
          "value": null
        },
        "memory": {
          "advanced": false,
          "display_name": "Memory",
          "type": "Memory",
          "value": null
        },
        "verbose": {
          "advanced": true,
          "display_name": "Verbose",
          "type": "bool",
          "value": false
        },
        "kwargs": {
          "advanced": true,
          "display_name": "Additional Arguments",
          "type": "dict",
          "value": {}
        }
      }
    },
    "type": "AgentCreatorComponent"
  },
  "dragging": false,
  "height": 746,
  "id": "AgentCreatorComponent-XYZ123",
  "position": {
    "x": -479.3544836211363,
    "y": 184.85118314299666
  },
  "positionAbsolute": {
    "x": -479.3544836211363,
    "y": 184.85118314299666
  },
  "selected": false,
  "type": "genericNode",
  "width": 432
}

This JSON snippet defines an AgentCreator component with various fields and outputs. You can add this component to your Langflow UI canvas by including it in your JSON configuration. Additionally, you can connect the AgentCreator component to other components, such as SequentialTaskComponent or CrewAIAgentComponent, by defining edges in the JSON structure, similar to how connections are made in the provided Sequential Agent.json example ^{[[1]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Hierarchical Agent.json)[[2]](https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/initial_setup/starter_projects/Sequential Agent.json)}.

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