TySS-Dev/ollama-ai-answers-searxng
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change: prompting

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cra88y/pc
2026-04-25 23:13:11 -05:00
parent be8c4a7f0a
commit ce772d07a0
1 changed files with 12 additions and 11 deletions
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ai_answers.py
+12 -11
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@@ -740,7 +740,7 @@ class SXNGPlugin(Plugin):
target_words = int(self.max_tokens * 0.4) target_words = int(self.max_tokens * 0.4)
lang_instruction = f" Respond in {lang}." if lang not in ('all', 'auto') else "" lang_instruction = f" Respond in {lang}." if lang not in ('all', 'auto') else ""
SYSTEM = f"You are a direct, citation-accurate search synthesis engine and assistant. Today is {today}.{lang_instruction}" SYSTEM = f"You are a direct, citation-accurate search synthesis engine. Today is {today}.{lang_instruction}"
max_source_idx = 0 max_source_idx = 0
if context_text: if context_text:
indices = re.findall(r'\[(\d+)\]', context_text) indices = re.findall(r'\[(\d+)\]', context_text)
@@ -748,11 +748,12 @@ class SXNGPlugin(Plugin):
max_source_idx = max(map(int, indices)) max_source_idx = max(map(int, indices))
CORE_RULES = [ CORE_RULES = [
"Answer the question directly using ONLY the provided context.", "Answer the question directly using the provided context.",
f"High density: Expert-briefing level. Aim for ~{target_words} words.", f"High density: Expert-briefing level. Aim for ~{target_words} words.",
"CITATIONS: Cite format is [n] for facts from grounding sources or if using general knowledge, cite [*].", "MUST CITE SOURCES by tailing a sentence with [n] or [n,n] etc. If citing general knowledge, use [*].",
"Do not use filler words, transitions, or meta-commentary.", "Do not use filler words, transitions, or meta-commentary.",
"Never explain your process. Just provide the facts.", "Never explain your process. The user expects a direct response.",
"If sources and general knowledge are insufficient, respond with 'Insufficient information to answer.'"
] ]
if q == "Continue": if q == "Continue":
@@ -772,19 +773,19 @@ class SXNGPlugin(Plugin):
numbered_instructions = "\n".join(f"{i+1}. {r}" for i, r in enumerate(instructions)) numbered_instructions = "\n".join(f"{i+1}. {r}" for i, r in enumerate(instructions))
prompt = f"""<system>{SYSTEM}</system> prompt = f"""<system>{SYSTEM}</system>
<sources> <GROUNDING_SOURCES>
{context_text or 'None.'} {context_text or 'None.'}
</sources> </GROUNDING_SOURCES>
<history> <HISTORY>
{prev_answer or 'None.'} {prev_answer or 'None.'}
</history> </HISTORY>
<query>{q}</query> <USER_QUERY>{q}</USER_QUERY>
<instructions> <CORE_DIRECTIVES>
{numbered_instructions} {numbered_instructions}
</instructions> </CORE_DIRECTIVES>
<answer>""" <answer>"""