Demo: aggiunto tools
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@@ -8,11 +8,17 @@ from agno.workflow.types import StepOutput, StepInput
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from agno.workflow.parallel import Parallel
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from agno.workflow.parallel import Parallel
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from agno.workflow.workflow import Workflow
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from agno.workflow.workflow import Workflow
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def my_sum(a: int, b: int) -> int:
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return a + b
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def my_mul(a: int, b: int) -> int:
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return a * b
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def build_agent(instructions: str) -> Agent:
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def build_agent(instructions: str) -> Agent:
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return Agent(
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return Agent(
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instructions=instructions,
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instructions=instructions,
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model=Ollama(id='qwen3:1.7b')
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model=Ollama(id='qwen3:1.7b'),
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tools=[my_sum]
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)
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)
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def remove_think(text: str) -> str:
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def remove_think(text: str) -> str:
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@@ -31,12 +37,12 @@ def combine_steps_output(inputs: StepInput) -> StepOutput:
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return StepOutput(content=content)
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return StepOutput(content=content)
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async def main():
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async def main():
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query = "Come posso fare per dormire meglio?"
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query = "Quanto fa 50 + 150 * 50?"
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s1 = Step(name="Translate", agent=build_agent(instructions="Transform in English the user query. Respond only with the summarized query in English."))
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s1 = Step(name="Translate", agent=build_agent(instructions="Transform in English the user query. DO NOT answer the question and output ONLY the translated question."))
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s2 = Step(name="Predict", agent=build_agent(instructions="You will be given a question in English. Provide a summarized answer in a concise manner. Ouput ONLY the answer."))
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s2 = Step(name="Predict", agent=build_agent(instructions="You will be given a question in English. You can use the tools at your disposal. Answer the question and output ONLY the answer."))
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step_a = Step(name="Lang", agent=build_agent(instructions="Detect the language and output ONLY the language code. Es: 'en' for English, 'it' for Italian, 'ja' for Japanese."))
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step_a = Step(name="Lang", agent=build_agent(instructions="Detect the language from the question and output ONLY the language code. Es: 'en' for English, 'it' for Italian, 'ja' for Japanese."))
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step_b = Steps(name="Answer", steps=[s1, s2])
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step_b = Steps(name="Answer", steps=[s1, s2])
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step_c = Step(name="Combine", executor=combine_steps_output)
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step_c = Step(name="Combine", executor=combine_steps_output)
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step_f = Step(name="Final", agent=build_agent(instructions="Translate the phrase in the language code provided. Respond only with the translated answer."))
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step_f = Step(name="Final", agent=build_agent(instructions="Translate the phrase in the language code provided. Respond only with the translated answer."))
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@@ -49,10 +55,11 @@ async def main():
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result = ""
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result = ""
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async for event in await wf.arun(query, stream=True, stream_intermediate_steps=True):
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async for event in await wf.arun(query, stream=True, stream_intermediate_steps=True):
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content = event.content if hasattr(event, 'content') and type(event.content) == str else "" # type: ignore
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content = getattr(event, 'content', '')
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step_name = getattr(event, 'step_name', '')
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if event.event in [WorkflowRunEvent.step_completed]:
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if event.event in [WorkflowRunEvent.step_completed]:
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print(f"{str(event.event)} --- {event.step_name} --- {remove_think(content).replace('\n', '\\n')[:80]}") # type: ignore
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print(f"{str(event.event)} --- {step_name} --- {remove_think(content).replace('\n', '\\n')[:80]}")
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if event.event in [WorkflowRunEvent.workflow_completed]:
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if event.event in [WorkflowRunEvent.workflow_completed]:
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result = remove_think(content)
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result = remove_think(content)
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print(f"\nFinal result: {result}")
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print(f"\nFinal result: {result}")
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