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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

42 lines
1.1 KiB
Python

import os
import sys
def main() -> int:
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <question>", file=sys.stderr)
return 1
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
print("OPENAI_API_KEY environment variable is required.", file=sys.stderr)
return 1
# Validate CLI inputs before importing optional dependencies so usage and
# configuration errors stay concise even before the example is installed.
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate
from langchain_openai import OpenAI
llm = OpenAI(temperature=0, api_key=api_key)
math_chain = (
PromptTemplate.from_template(
"Solve the following math problem carefully. Return only the final answer.\n\n{question}"
)
| llm
| StrOutputParser()
)
try:
result = math_chain.invoke({"question": sys.argv[1]})
except Exception as error:
print(f"Error invoking math chain: {error}", file=sys.stderr)
return 1
print(result)
return 0
if __name__ == "__main__":
sys.exit(main())