next-gen-ui-llama-stack 0.4.0

Llama-stack integration for Next Gen UI Agent

Next Gen UI Llama Stack Integration

This module is part of the Next Gen UI Agent project.

Support for Llama Stack framework.

Provides

• NextGenUILlamaStackAgent - takes all tool messages from provided conversation turn steps (Llama Stack Agent API), and process data from them into UI components.
  • Tool name is used as InputData.type for the UI Agent, so distinct configurations can be applied based on it, like input data transformations, defined UI components (dynamic ot Hand Build) etc.
  • Two event types can be emitted during the processing:
    • success with output from the UI Agent processing. Payload is array of UIBlock.
    • error with error from the UI Agent processing. Payload is Exception.
  • Depending on the agent's execution_mode, processing is performed as:
    • stream: Process individual data in parallel, yield each result as an independent event immediatelly as processing completes/fails. So overall number of produced events is the same as number of data pieces. Each success event contains exactly one UIBlock in the payload array. (default)
    • batch: Process individual data in parallel, yield all results as one event containing results for all the data, or one error event if processing of any data fails.
• LlamaStackAgentInference and LlamaStackAsyncAgentInference to use LLM hosted in Llama Stack server (Llama Stack Chat Completion API)

Installation

pip install -U next_gen_ui_llama_stack

Example

Integrate Next Gen UI with your assistent

Let's have your ReAct Agent e.g. Movies agent like this:

from llama_stack_client.lib.agents.react.agent import ReActAgent

client = LlamaStackClient(
    base_url=f"http://{LLAMA_STACK_HOST}:{LLAMA_STACK_PORT}",
)
INFERENCE_MODEL = "meta-llama/Llama-3.2-3B-Instruct"
movies_agent = ReActAgent(
    client=client,
    model=INFERENCE_MODEL,
    client_tools=[
        movies,
    ],
    json_response_format=True,
)

session_id = movies_agent.create_session("test-session")

# Send a query to your agent
response = movies_agent.create_turn(
    messages=[{"role": "user", "content": user_input}],
    session_id=session_id,
    stream=False,
)

Use NextGenUILlamaStackAgent class and just pass llama stack client and model name and pass steps from your movies agent to Next Gen UI Agent.

from next_gen_ui_llama_stack import NextGenUILlamaStackAgent

# Pass steps to Next Gen UI Agent for processing. Events with results are emitted.
ngui_agent = NextGenUILlamaStackAgent(client, INFERENCE_MODEL)
result = await ngui_agent.create_turn(user_input, steps=response.steps)

Links

• Documentation
• Source Codes
• Contributing