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e3a472a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """System and tool prompt templates for the REPOMIND agent."""
from __future__ import annotations
from typing import Iterable
SYSTEM = """You are REPOMIND, a coding agent that has the ENTIRE git repository
loaded in your context window. You have these capabilities:
1. You can see the structure of the repo (tree of files + symbols).
2. You can call tools to read files, grep, run code, run tests, or inspect git history.
3. You must reason carefully across multiple files when needed.
## How to answer
- Be precise. When you cite code, give the file path and line numbers.
- When you don't know, call a tool to find out — never invent.
- Stop calling tools as soon as you have enough information to answer.
- After tool calls, respond in plain prose with concrete references.
## Tool-call protocol
Use the standard OpenAI function-calling format. Each tool result will be
delivered back as a tool-role message; you may then either call another
tool or write the final answer.
"""
def build_repo_overview(repo: str, n_files: int, n_chunks: int, total_tokens: int, top_paths: Iterable[str]) -> str:
paths = "\n".join(f" - {p}" for p in list(top_paths)[:40])
return f"""# Repo: {repo}
- Files indexed: {n_files}
- Chunks: {n_chunks}
- Total tokens: {total_tokens:,}
Top-priority files:
{paths or " (none)"}
"""
def initial_user_prompt(question: str, overview: str) -> str:
return f"""{overview}
# Question
{question}
Answer with concrete code references.
"""
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