Update agent.py
Browse files
agent.py
CHANGED
@@ -1,28 +1,28 @@
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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
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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
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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',
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except Exception as e:
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return f"ERROR: {e}"
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# ---
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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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@@ -32,36 +32,32 @@ def eval_python_code(code: str) -> str:
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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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if
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if
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if not re.match(r'^[A-Za-z]+\.$',
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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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return num.group(1).replace(',', '')
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if 'first name' in question:
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return
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if 'surname' in question:
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return
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if 'city' in question:
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return
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if re.search(r'IOC country code|award number|NASA', question, re.I):
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-
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if
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-
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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+',
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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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@@ -76,28 +72,27 @@ def format_gaia_answer(answer: str, question: str = "") -> str:
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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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# --- 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="
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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="
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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.
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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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return
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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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import os
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import asyncio
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import re
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from openai import OpenAI as OpenAIClient
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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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from duckduckgo_search import DDGS
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# --- Custom DuckDuckGo 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 the web via DuckDuckGo."
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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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# --- 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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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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ans = re.sub(r'(?i)final answer:?\s*', '', answer).strip()
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ans = re.sub(r'(?i)i(\'?m| cannot| can\'t| unable| apologize| not available).*', '', ans).strip()
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if ans.startswith('"') and ans.endswith('"'):
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ans = ans[1:-1]
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if ans.startswith('[') and ans.endswith(']'):
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ans = ans[1:-1]
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if not re.match(r'^[A-Za-z]+\.$', ans):
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ans = re.sub(r'\.$', '', ans)
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if question:
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if re.search(r'how many|number of|at bats|total sales|albums|output.*python|highest number', question, re.I):
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m = re.search(r'(\$?\d[\d,\.]*)', ans)
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if m: return m.group(1).replace(',', '')
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if 'first name' in question:
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return ans.split()[0]
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if 'surname' in question:
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return ans.split()[-1]
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if 'city' in question:
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return ans.split()[0]
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if re.search(r'IOC country code|award number|NASA', question, re.I):
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c = re.search(r'[A-Z0-9]{3,}', ans)
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if c: return c.group(0)
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if re.search(r'list|comma.*separated|page numbers', question, re.I):
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items = [x.strip('",.').lower() for x in re.split(r'[,\n]', ans) 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+', ans))
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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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merged.append(x)
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return ', '.join(sorted(set(merged)))
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return ', '.join(items)
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return ans.strip().rstrip('.')
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# --- LLM 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="Web search tool"),
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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="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. Always use tools and strictly output only the final answer in GAIA format—no apologies or explanations.",
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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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resp = await agent.achat(question)
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return resp.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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