Rewrite DeepAgent without external libs
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+26
-19
@@ -1,41 +1,48 @@
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"""
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DeepAgent implementation using deepagents from scratch.
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DeepAgent implementation from scratch.
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The agent searches the web via Perplexity API and writes results to virtual files,
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then exports them to real filesystem.
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The agent searches the web via Perplexity API, writes results to virtual files,
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and exports them to real filesystem.
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"""
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import os
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import shutil
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from pathlib import Path
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from typing import List, Dict
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import json
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import requests
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from deepagents import AgentBuilder, Tool, LLMWrapper
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from deepagents.tools.perplexity import PerplexityTool
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# Configuration
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BASE_DIR = Path("/tmp/deepagent")
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OUTPUT_DIR = Path("./output_files")
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class DeepAgent:
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def __init__(self, api_key: str):
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self.api_key = api_key
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# Build agent with Perplexity tool
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perplexity_tool = Tool(
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name="perplexity",
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description="Search the web using Perplexity API.",
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func=lambda query: PerplexityTool(api_key=api_key).search(query),
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)
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self.agent = AgentBuilder().with_tools([perplexity_tool]).build()
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BASE_DIR.mkdir(parents=True, exist_ok=True)
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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def _search(self, query: str) -> dict:
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url = "https://api.perplexity.ai/chat/completions"
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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}
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payload = {
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"model": "perplexity-llama-3.1-mini-128k-chat",
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"messages": [{"role": "user", "content": query}],
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"temperature": 0,
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}
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resp = requests.post(url, headers=headers, json=payload)
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resp.raise_for_status()
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data = resp.json()
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content = data["choices"][0]["message"]["content"]
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# Expect JSON
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return json.loads(content)
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def search_and_save(self, query: str, filename: str):
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# Run agent to get result
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result = self.agent.run(query)
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result = self._search(query)
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file_path = BASE_DIR / filename
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with open(file_path, "w", encoding="utf-8") as f:
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f.write(result)
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json.dump(result, f, ensure_ascii=False, indent=2)
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return file_path
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def export(self):
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@@ -50,6 +57,6 @@ if __name__ == "__main__":
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agent = DeepAgent(api_key=args.api_key)
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queries = ["Python async programming", "LangChain deep agents"]
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for i, q in enumerate(queries, 1):
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agent.search_and_save(q, f"result_{i}.txt")
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agent.search_and_save(q, f"result_{i}.json")
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agent.export()
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print("Exported files to", OUTPUT_DIR)
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