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Align early stop prompt with final answer #814

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Merged
merged 1 commit into from
Sep 5, 2025
Merged

Align early stop prompt with final answer #814

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20 changes: 12 additions & 8 deletions apex/services/deep_research/deep_research_langchain.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,16 @@


class DeepResearchLangchain(DeepResearchBase):
_FINAL_ANSWER_INST = (
"You are a senior interdisciplinary researcher with expertise across "
"science, technology, humanities, and social sciences.\n"
"Provide report only in plain text using natural language.\n"
"Write your response in the form of a well-structured research report with sections:\n"
"Executive Summary, Key Findings, Evidence, Limitations, Conclusion.\n"
"Use inline numeric citations like [1], [2] that refer to Sources.\n"
"At the end, include a 'Sources' section listing the numbered citations.\n\n"
)

def __init__(
self,
key: str,
Expand Down Expand Up @@ -142,6 +152,7 @@ async def invoke(
reasoning_traces: list[dict[str, Any]] = []

question = messages[-1]["content"]
question = self._FINAL_ANSWER_INST + question

# Seed notes with any provided documents
notes: list[str] = []
Expand Down Expand Up @@ -297,14 +308,7 @@ async def invoke(
final_prompt = PromptTemplate(
input_variables=["question", "notes", "sources"],
template=(
"You are a senior interdisciplinary researcher with expertise across "
"science, technology, humanities, and social sciences.\n"
"Provide report only in plain text using natural language.\n"
"Write your response in the form of a well-structured research report with sections:\n"
"Executive Summary, Key Findings, Evidence, Limitations, Conclusion.\n"
"Use inline numeric citations like [1], [2] that refer to Sources.\n"
"At the end, include a 'Sources' section listing the numbered citations.\n\n"
"Do NOT use JSON, or any other structured data format.\n"
self._FINAL_ANSWER_INST + "Do NOT use JSON, or any other structured data format.\n"
"Question:\n{question}\n\n"
"Notes:\n{notes}\n\n"
"Sources:\n{sources}\n\n"
Expand Down
6 changes: 1 addition & 5 deletions apex/validator/generate_reference.py
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Expand Up @@ -26,11 +26,7 @@ async def generate_reference(
}
user_message: dict[str, str] = {
"role": "user",
"content": (
f"Research Question: {query}\n\n"
"Please think through the answer carefully, annotate each step with citations like [1], [2], etc., "
'and conclude with a "Sources:" list mapping each [n] to its source URL or title.'
),
"content": query,
}

response, tool_history, reasoning_traces = await llm.invoke([system_message, user_message])
Expand Down