53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
"""Builds the system prompt that is sent to the AI at the start of each chat session."""
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# Prevents very large files from flooding the context window with tokens.
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MAX_FILE_CHARS = 4000
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class SystemPrompter:
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"""Generates system prompts for the chat assistant.
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When a file is open in the editor it can be embedded in the prompt so the
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AI has direct context of the code the user is currently working on.
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"""
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@staticmethod
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# REVIEW: unused parameter (in production) — `file_context` is never passed by the only
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# production call site (frontend/chat.py line 242 calls generate_prompt() with no args),
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# so the file-embedding branch (lines 31-46) is dead in production. It is tested in
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# tests/test_system_prompter.py but the feature is not wired up in the UI.
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def generate_prompt(file_context: dict | None = None) -> str:
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"""Build a system prompt, optionally embedding a file's content.
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Args:
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file_context: dict with keys 'name' (filename) and 'content' (raw text),
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or None if no file should be included.
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Returns:
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A ready-to-use system prompt string.
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"""
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base = (
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"You are an expert code assistant integrated into a lightweight code editor. "
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"Help the user with code suggestions, debugging, explanations, and improvements. "
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"Be concise and precise. Use markdown and fenced code blocks where appropriate."
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)
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if file_context:
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name = file_context.get("name", "unknown")
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content = file_context.get("content", "")
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# Truncate large files to avoid exceeding the model's token limit
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if len(content) > MAX_FILE_CHARS:
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content = content[:MAX_FILE_CHARS] + "\n... [truncated]"
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file_section = (
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f"\n\nThe user currently has the following file open in the editor:\n"
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f"<file name=\"{name}\">\n"
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f"<code>\n{content}\n</code>\n"
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f"</file>\n"
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f"Refer to this file when answering questions about the code."
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)
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return base + file_section
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return base
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