mirror of
https://github.com/tcsenpai/agenticSeek.git
synced 2025-06-03 01:30:11 +00:00
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
|
|
from sources.utility import pretty_print, animate_thinking
|
|
from sources.agents.agent import Agent, executorResult
|
|
from sources.tools.C_Interpreter import CInterpreter
|
|
from sources.tools.GoInterpreter import GoInterpreter
|
|
from sources.tools.PyInterpreter import PyInterpreter
|
|
from sources.tools.BashInterpreter import BashInterpreter
|
|
from sources.tools.fileFinder import FileFinder
|
|
|
|
class CoderAgent(Agent):
|
|
"""
|
|
The code agent is an agent that can write and execute code.
|
|
"""
|
|
def __init__(self, name, prompt_path, provider, verbose=False):
|
|
super().__init__(name, prompt_path, provider, verbose)
|
|
self.tools = {
|
|
"bash": BashInterpreter(),
|
|
"python": PyInterpreter(),
|
|
"c": CInterpreter(),
|
|
"go": GoInterpreter(),
|
|
"file_finder": FileFinder()
|
|
}
|
|
self.role = {
|
|
"en": "code",
|
|
"fr": "codage",
|
|
"zh": "编码",
|
|
"es": "codificación",
|
|
}
|
|
self.type = "code_agent"
|
|
|
|
def process(self, prompt, speech_module) -> str:
|
|
answer = ""
|
|
attempt = 0
|
|
max_attempts = 3
|
|
self.memory.push('user', prompt)
|
|
|
|
while attempt < max_attempts:
|
|
animate_thinking("Thinking...", color="status")
|
|
self.wait_message(speech_module)
|
|
answer, reasoning = self.llm_request()
|
|
animate_thinking("Executing code...", color="status")
|
|
exec_success, _ = self.execute_modules(answer)
|
|
answer = self.remove_blocks(answer)
|
|
self.last_answer = answer
|
|
if exec_success:
|
|
break
|
|
self.show_answer()
|
|
attempt += 1
|
|
if attempt == max_attempts:
|
|
return "I'm sorry, I couldn't find a solution to your problem. How would you like me to proceed ?", reasoning
|
|
return answer, reasoning
|
|
|
|
if __name__ == "__main__":
|
|
from llm_provider import Provider
|
|
|
|
#local_provider = Provider("ollama", "deepseek-r1:14b", None)
|
|
server_provider = Provider("server", "deepseek-r1:14b", "192.168.1.100:5000")
|
|
agent = CoderAgent("deepseek-r1:14b", "jarvis", "prompts/coder_agent.txt", server_provider)
|
|
ans = agent.process("What is the output of 5+5 in python ?")
|
|
print(ans) |