Spencer
cf71fb4464
- Split TRIGGER_PATTERN into INLINE_PATTERN (BLIGHT:) and DOCUMENT_PATTERN (BLIGHT::), both case-insensitive - Inline triggers replace only the trigger line (existing behaviour) - Document-scope triggers replace the entire file; multiple BLIGHT:: triggers in one file are processed sequentially, each seeing the previous result - Updated FAILED_TEMPLATE to two-line format with BLIGHT_FAILED and BLIGHT_ERROR - Added complete_document() to AIProvider ABC and GeminiProvider with a dedicated system prompt instructing the model to return the full document Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import google.generativeai as genai
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import config
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from .base import AIProvider
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_INLINE_SYSTEM_PROMPT = (
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"You are an inline document assistant. "
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"The user will provide a markdown document and a specific instruction. "
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"Your response must contain ONLY the text to be inserted into the document — "
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"no preamble, no explanation, no meta-commentary, no markdown code fences unless "
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"the instruction specifically asks for them. "
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"Respond as if your output will be dropped directly into the middle of a document."
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)
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_DOCUMENT_SYSTEM_PROMPT = (
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"You are a document editing assistant. "
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"The user will provide a markdown document and a specific instruction. "
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"Apply the instruction to the entire document and return the full rewritten document. "
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"Your response must contain ONLY the rewritten document — "
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"no preamble, no explanation, no meta-commentary, no markdown code fences. "
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"Preserve the document's structure and formatting unless the instruction says otherwise."
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)
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class GeminiProvider(AIProvider):
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def __init__(self) -> None:
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genai.configure(api_key=config.GEMINI_API_KEY)
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self._inline_model = genai.GenerativeModel(
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model_name="gemini-2.5-flash-lite",
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system_instruction=_INLINE_SYSTEM_PROMPT,
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)
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self._document_model = genai.GenerativeModel(
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model_name="gemini-2.5-flash-lite",
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system_instruction=_DOCUMENT_SYSTEM_PROMPT,
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)
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def complete(self, document: str, instruction: str) -> str:
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prompt = (
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f"DOCUMENT:\n\n{document}\n\n"
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f"INSTRUCTION: {instruction}"
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)
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response = self._inline_model.generate_content(prompt)
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return response.text.strip()
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def complete_document(self, document: str, instruction: str) -> str:
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prompt = (
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f"DOCUMENT:\n\n{document}\n\n"
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f"INSTRUCTION: {instruction}"
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)
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response = self._document_model.generate_content(prompt)
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return response.text.strip()
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