Update agent.py
Browse files
agent.py
CHANGED
@@ -1,96 +1,107 @@
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import os
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import asyncio
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import re
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from
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from llama_index.llms.openai import OpenAI
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from llama_index.core.agent.react import ReActAgent
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from llama_index.core.tools import FunctionTool
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#
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from llama_index.tools.duckduckgo_search import DuckDuckGoSearchTool
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# Simple tool: Evaluate Python code for math/code questions
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def eval_python_code(code: str) -> str:
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try:
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return str(eval(code, {"__builtins__": {}}))
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except Exception as e:
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return f"ERROR: {e}"
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# Strict output formatting for GAIA
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def format_gaia_answer(answer: str, question: str = "") -> str:
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if not answer:
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return ""
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answer = re.sub(r'(?i)final answer:?\s*', '', answer).strip()
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answer = re.sub(r'(?i)i(\'?m| cannot| can\'t| unable
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if answer.startswith('"') and answer.endswith('"'):
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if
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if question:
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num = re.search(r'(\$?\d[\d,\.]*)', answer)
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if num:
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if '
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if re.search(r'IOC country code|award number|NASA', question, re.I):
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code = re.search(r'[A-Z0-9]{3,}', answer)
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if code:
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items = [x.strip('",.').lower() for x in re.split(r'[,\n]', answer) if x.strip()]
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if 'page numbers' in question:
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nums =
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return ', '.join(str(n) for n in
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if 'ingredient' in question or 'vegetable' in question:
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merged = []
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skip = True
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else:
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return ', '.join(merged)
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return ', '.join(items)
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return answer.strip().rstrip('.').strip()
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# Tool registry
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tools = [
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DuckDuckGoSearchTool(),
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FunctionTool.from_defaults(
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name="python_eval",
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description="Evaluate simple Python code and return result as string. Use for math or code output."
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),
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FunctionTool.from_defaults(
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format_gaia_answer,
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name="format_gaia_answer",
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description="Postprocess and enforce strict GAIA format on answers given a question."
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),
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]
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# Main agent
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agent = ReActAgent.from_tools(
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tools=tools,
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llm=llm,
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system_prompt="You
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verbose=False
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)
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# Async entrypoint
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async def answer_question(question: str, task_id: str = None, file_path: str = None) -> str:
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result = await agent.achat(question)
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return result.response
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# Synchronous wrapper
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def answer_question_sync(question: str, task_id: str = None, file_path: str = None) -> str:
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return asyncio.run(answer_question(question, task_id, file_path))
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# For compatibility with app.py (GAIAAgent class)
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class GaiaAgent:
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def __call__(self, question: str, task_id: str = None
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return answer_question_sync(question, task_id
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import os
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import asyncio
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import re
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from openai import OpenAI
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from llama_index.core.agent.react import ReActAgent
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from llama_index.core.tools import FunctionTool
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from duckduckgo_search import DDGS
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# --- Custom DuckDuckGo Search Tool ---
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class DuckDuckGoSearchTool:
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def __init__(self):
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self.metadata = {
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"name": "duckduckgo_search",
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"description": "Search web via DuckDuckGo and return brief summaries."
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}
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def __call__(self, query: str) -> str:
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try:
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with DDGS() as ddg:
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results = ddg.text(query=query, region="wt-wt", max_results=3)
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return "\n".join(r.get('body', '') for r in results if r.get('body'))
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except Exception as e:
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return f"ERROR: {e}"
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# --- Other Tools ---
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def eval_python_code(code: str) -> str:
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try:
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return str(eval(code, {"__builtins__": {}}))
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except Exception as e:
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return f"ERROR: {e}"
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def format_gaia_answer(answer: str, question: str = "") -> str:
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if not answer:
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return ""
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answer = re.sub(r'(?i)final answer:?\s*', '', answer).strip()
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answer = re.sub(r'(?i)i(\'?m| cannot| can\'t| unable| apologize| not available|process the file).*', '', answer).strip()
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if answer.startswith('"') and answer.endswith('"'):
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answer = answer[1:-1]
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if answer.startswith('[') and answer.endswith(']'):
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answer = answer[1:-1]
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if not re.match(r'^[A-Za-z]+\.$', answer):
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answer = re.sub(r'\.$', '', answer)
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if question:
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num_q = re.search(r'how many|number of|at bats|total sales|albums|output.*python|highest number', question, re.I)
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list_q = re.search(r'list|comma.*separated|page numbers', question, re.I)
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if num_q:
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num = re.search(r'(\$?\d[\d,\.]*)', answer)
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if num:
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return num.group(1).replace(',', '')
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if 'first name' in question:
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return answer.split()[0]
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if 'surname' in question:
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return answer.split()[-1]
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if 'city' in question:
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return answer.split()[0]
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if re.search(r'IOC country code|award number|NASA', question, re.I):
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code = re.search(r'[A-Z0-9]{3,}', answer)
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if code:
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return code.group(0)
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if list_q:
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items = [x.strip('",.').lower() for x in re.split(r'[,\n]', answer) if x.strip()]
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if 'page numbers' in question:
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nums = sorted(int(x) for x in re.findall(r'\d+', answer))
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return ', '.join(str(n) for n in nums)
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if 'ingredient' in question or 'vegetable' in question or 'grocery' in question:
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merged, skip = [], False
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for i, x in enumerate(items):
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if skip:
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skip = False
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continue
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if i+1 < len(items) and x in ['sweet','green','lemon','ripe','whole','fresh']:
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merged.append(f"{x} {items[i+1]}")
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skip = True
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else:
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merged.append(x)
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return ', '.join(sorted(set(merged)))
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return ', '.join(items)
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return answer.strip().rstrip('.')
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# --- LLM & Tools Setup ---
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llm = OpenAI(model="gpt-4o", api_key=os.getenv("OPENAI_API_KEY"))
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tools = [
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FunctionTool.from_defaults(DuckDuckGoSearchTool(), name="duckduckgo_search", description="Searches the web via DuckDuckGo"),
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FunctionTool.from_defaults(eval_python_code, name="python_eval", description="Evaluate Python code"),
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FunctionTool.from_defaults(format_gaia_answer, name="format_gaia_answer", description="Strict GAIA output formatting")
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]
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agent = ReActAgent.from_tools(
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tools=tools,
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llm=llm,
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system_prompt="You're a GAIA benchmark agent. Use tools and always output only the final answer in strict format—no explanation or apology.",
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verbose=False
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)
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async def answer_question(question: str, task_id: str = None, file_path: str = None) -> str:
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result = await agent.achat(question)
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return result.response
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def answer_question_sync(question: str, task_id: str = None, file_path: str = None) -> str:
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return asyncio.run(answer_question(question, task_id, file_path))
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class GaiaAgent:
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def __call__(self, question: str, task_id: str = None) -> str:
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return answer_question_sync(question, task_id)
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