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https://github.com/tcsenpai/agenticSeek.git
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39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
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from sources.utility import pretty_print
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from sources.agent import Agent
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from sources.tools.webSearch import webSearch
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class CasualAgent(Agent):
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def __init__(self, model, name, prompt_path, provider):
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"""
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The casual agent is a special for casual talk to the user without specific tasks.
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"""
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super().__init__(model, name, prompt_path, provider)
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self.tools = {
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"web_search": webSearch()
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}
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self.role = "talking"
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def process(self, prompt, speech_module) -> str:
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complete = False
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exec_success = False
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self.memory.push('user', prompt)
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self.wait_message(speech_module)
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while not complete:
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if exec_success:
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complete = True
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pretty_print("Thinking...", color="status")
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answer, reasoning = self.llm_request()
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exec_success, _ = self.execute_modules(answer)
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answer = self.remove_blocks(answer)
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self.last_answer = answer
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return answer, reasoning
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if __name__ == "__main__":
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from llm_provider import Provider
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#local_provider = Provider("ollama", "deepseek-r1:14b", None)
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server_provider = Provider("server", "deepseek-r1:14b", "192.168.1.100:5000")
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agent = CasualAgent("deepseek-r1:14b", "jarvis", "prompts/casual_agent.txt", server_provider)
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ans = agent.process("Hello, how are you?")
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print(ans) |