nestharus

ADR-### — {decision title}

Status: {Proposed | Accepted | Superseded | Deprecated} Date: YYYY-MM-DD Supersedes: ADR-### Superseded-by: ADR-###

ADRs record decisions about invariants, boundaries, and relationships. Do not specify concrete schema field/key names or data types; express impact as ID-level changes and link to PRD/Design Map IDs.

nestharus

Async Testing

• pytest-asyncio==1.3.0 is already listed in pyproject.toml, so async tests can be awaited seamlessly.
• Prefer explicit marks for readability:

import pytest
from app.routes import metadata_router_v1

@pytest.mark.asyncio

nestharus

note This still needs some refinement. It needs to look up the original implementation plan behind each commit and come up with an integration plan to bring the two together. This is currently a naive conflict resolution approach.

---

name: conflict-resolver description: Resolves a single git merge conflict by analyzing both sides' intent and stitching changes together model: opus tools: Read, Edit, Bash, Grep, Glob

nestharus

You will be given a very unrefined prompt containing many interleaved requirements. Do **not** create an implementation plan. Do **not** add assumptions about my repo/system. Your job is only to **unmangle and restructure** what I said.

Produce three sections:

1. **Topics (Unmangled)**

   * Extract and list all distinct topics/concerns present in my text.
   * Phrase them as short topic titles.

2. **Organized Requirements (Same content, reordered)**

nestharus

# Plan

## Overview

## Current State (Problems)

## Target State

## Additional Info

nestharus

Here's a redesign that fully treats:

• object IDs as entities,
• field names as part of the fact,
• and object membership (ancestor chain) as the core context.

I'll start with the shared data model and then show how extract_ids_and_text, resolution_tracker.py, and candidate_extraction.py change, plus how this plugs into your fact pipeline.

---

nestharus

Download as zip
Create empty auths folder in directory
Create empty logs folder in directory

Within directory

docker-compose up -d

OpenAI: docker exec -it cli-proxy-api ./CLIProxyAPI --codex-login
Google: docker exec -it cli-proxy-api ./CLIProxyAPI --login

nestharus

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
from vllm import LLM, SamplingParams
from vllm.inputs.data import TokensPrompt
from transformers import AutoTokenizer
import math

class RerankRequest(BaseModel):
    query: str

nestharus

public static Map<String, Set<String>> idsAndFields(final Collection<Match> matches) {
  return matches.stream()
    .collect(Collectors.groupingBy(
      match -> match.id,
      Collectors.flatMapping(
        match -> match.positions().stream()
          .map(position -> position.fieldName),
        Collectors.toSet()
      )
    ));

nestharus

#      2  [      1]
#      3  [   3, 1]
#      5  [5, 3, 1, 3, 1, 3, 5, 1]
# (19) 7  [9,    1, 3, 1, 3, 5, 1, 5, 3, 1, 3, 5, 5, 1, 5, 3, 1, 5, 3, 5, 7, 3, 1, 3, 1, 3********************************************************************, 7, 5, 3, 5, 1, 3, 5, 1, 5, 5, 3, 1, 3, 5, 1, 5, 3, 1, 3, 1, 9, 1]
# ( 9) 11 [11,      3, 1, 3, 5, 1, 5, 3, 1, 3, 5, 5, 1, 5, 3, 1, 5, 3, 5, 7, 3, 1, 3, 1, 3, 13, 3, 5, 1, 9, 1, 5, 5, 3********************************************************************, 1, 3, 5, 1, 9, 1, 3, 1, 11, 9, 1, 3, 1, 3, 5, 1, 5, 3, 5, 5, 5, 1, 5, 3, 1, 5, 3, 5, 7, 3, 1, 3, 5, 7, 5, 9, 1, 3, 5, 1, 5, 5, 3, 1, 3, 5, 1, 5, 3, 1, 5, 9, 1, 9, 1, 3, 1, 3, 5, 7, 3, 1, 3, 11, 1, 5, 3, 1, 5, 3, 5, 11, 1, 3, 1, 3, 7, 5, 3, 5, 1, 3, 5, 1, 5, 9, 1, 3,5, 1, 5, 3, 1, 3, 1, 9, 1, 9, 1, 3, 5, 5, 1, 5, 5, 3, 5, 5, 1, 5, 3, 1, 5, 3, 5, 7, 3, 1, 5,3, 7, 5, 3, 5, 1, 3, 5, 7, 5, 3, 1, 9, 1, 5, 3, 1, 3, 1, 9, 1, 9, 1, 3, 1, 3, 7, 5, 3, 1, 3,5, 5, 1, 5, 3, 7, 3, 5, 7, 3, 1, 3, 1, 3, 7, 5, 3, 5, 5, 5, 1, 5, 5, 3, 1, 3, 5, 1, 5