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Include news and research context in caller prompts

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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
tcpsyn
2026-02-06 00:35:55 -07:00
parent a06d0a22e1
commit 50e3d3af7d
1 changed files with 22 additions and 5 deletions
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27
backend/main.py
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@@ -250,7 +250,8 @@ def generate_caller_background(base: dict) -> str:
return f"""{age}, {job} {location}. {problem.capitalize()}. {interest1.capitalize()}, {interest2}. {quirk1.capitalize()}, {quirk2}."""
def get_caller_prompt(caller: dict, conversation_summary: str = "", show_history: str = "") -> str:
def get_caller_prompt(caller: dict, conversation_summary: str = "", show_history: str = "",
news_context: str = "", research_context: str = "") -> str:
"""Generate a natural system prompt for a caller"""
context = ""
if conversation_summary:
@@ -264,10 +265,20 @@ Continue naturally. Don't repeat yourself.
if show_history:
history = f"\n{show_history}\n"
world_context = ""
if news_context or research_context:
parts = ["WHAT YOU'VE BEEN READING ABOUT LATELY:"]
if news_context:
parts.append(f"Headlines you noticed today:\n{news_context}")
if research_context:
parts.append(f"Stuff related to what you're talking about:\n{research_context}")
parts.append("Work these in IF they're relevant to what you're discussing. Don't force news into the conversation. You're a person who reads the news, not a news anchor.")
world_context = "\n".join(parts) + "\n"
return f"""You're {caller['name']}, calling a late-night radio show. You trust this host.
{caller['vibe']}
{history}{context}
{history}{context}{world_context}
HOW TO TALK:
- Sound like a real person chatting, not writing.
- Be brief. Say what you need to say and stop. Think quick back-and-forth, not speeches.
@@ -839,7 +850,9 @@ async def chat(request: ChatRequest):
# Include conversation summary and show history for context
conversation_summary = session.get_conversation_summary()
show_history = session.get_show_history()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history)
news_ctx, research_ctx = _build_news_context()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
news_ctx, research_ctx)
messages = _normalize_messages_for_llm(session.conversation[-10:])
response = await llm_service.generate(
@@ -1334,7 +1347,9 @@ async def _trigger_ai_auto_respond(accumulated_text: str):
conversation_summary = session.get_conversation_summary()
show_history = session.get_show_history()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history)
news_ctx, research_ctx = _build_news_context()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
news_ctx, research_ctx)
messages = _normalize_messages_for_llm(session.conversation[-10:])
response = await llm_service.generate(
@@ -1406,7 +1421,9 @@ async def ai_respond():
conversation_summary = session.get_conversation_summary()
show_history = session.get_show_history()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history)
news_ctx, research_ctx = _build_news_context()
system_prompt = get_caller_prompt(session.caller, conversation_summary, show_history,
news_ctx, research_ctx)
messages = _normalize_messages_for_llm(session.conversation[-10:])
response = await llm_service.generate(