truths

[Keyrxng]

test

[Keyrxng]

@ubqbot test

[ubqbot]

It looks like you're testing to see if I'm responsive. How can I assist you today?

[Keyrxng]

COMPLETE GROUND TRUTHS:

 [
  {
    role: 'system',
    content: '\n' +
      'Using the input provided, your goal is to produce an array of strings that represent "Ground Truths."\n' +
      'These ground truths are high-level abstractions that encapsulate the tech stack and dependencies of the repository.\n' +
      '  \n' +
      'Each ground truth should:\n' +
      '- Be succinct and easy to understand.\n' +
      '- Use only the information provided in the input.\n' +
      '- Focus on essential requirements, behaviors, or assumptions involved in the repository.\n' +
      '  \n' +
      'Example:\n' +
      'Languages: { TypeScript: 60%, JavaScript: 15%, HTML: 10%, CSS: 5%, ... }\n' +
      'Dependencies: Esbuild, Wrangler, React, Tailwind CSS, ms, React-carousel, React-icons, ...\n' +
      'Dev Dependencies: @types/node, @types/jest, @mswjs, @testing-library/react, @testing-library/jest-dom, @Cypress ...\n' +
      'Ground Truths:\n' +
      '- The repo predominantly uses TypeScript, with JavaScript, HTML, and CSS also present.\n' +
      '- The repo is a React project that uses Tailwind CSS.\n' +
      '- The project is built with Esbuild and deployed with Wrangler, indicating a Cloudflare Workers project.\n' +
      '- The repo tests use Jest, Cypress, mswjs, and React Testing Library.\n' +
      '  \n' +
      'Conditions:\n' +
      'Assume your output builds the foundation for a chatbot to understand the repository when asked an arbitrary query.\n' +
      'Do not list every language or dependency, focus on the most prevalent ones.\n' +
      'Focus on what is essential to understand the repository at a high level.\n' +
      'Brevity is key. Use zero formatting. Do not wrap in quotes, backticks, or other characters.\n' +
      'response === ["some", "array", "of", "strings"]\n' +
      '  \n' +
      'Generate similar ground truths adhering to a maximum of 10.\n' +
      '  \n' +
      'Return a JSON parsable array of strings representing the ground truths, without comment or directive.'
  },
  {
    role: 'user',
    content: '{"dependencies":{"@mswjs/data":"^0.16.2","@octokit/rest":"20.1.1","@octokit/webhooks":"13.2.7","@sinclair/typebox":"0.32.33","@supabase/supabase-js":"^2.45.4","@ubiquity-dao/ubiquibot-logger":"^1.3.0","dotenv":"^16.4.5","openai":"^4.63.0","typebox-validators":"0.3.5","voyageai":"^0.0.1-5"},"devDependencies":{"@actions/core":"^1.11.1","@actions/github":"^6.0.0","@commitlint/cli":"19.3.0","@commitlint/config-conventional":"19.2.2","@cspell/dict-node":"5.0.1","@cspell/dict-software-terms":"3.4.6","@cspell/dict-typescript":"3.1.5","@eslint/js":"9.5.0","@jest/globals":"29.7.0","@types/jest":"^29.5.12","@types/node":"20.14.5","cspell":"8.9.0","eslint":"9.5.0","eslint-config-prettier":"9.1.0","eslint-plugin-check-file":"2.8.0","eslint-plugin-prettier":"5.1.3","eslint-plugin-sonarjs":"1.0.3","husky":"9.0.11","jest":"29.7.0","jest-junit":"16.0.0","jest-md-dashboard":"0.8.0","knip":"5.21.2","lint-staged":"15.2.7","npm-run-all":"4.1.5","prettier":"3.3.2","ts-jest":"29.1.5","tsx":"4.15.6","typescript":"5.4.5","typescript-eslint":"7.13.1","wrangler":"^3.81.0"},"languages":[["TypeScript",0.9235672829913418],["PLpgSQL",0.03861807956191261],["JavaScript",0.03622889642996839],["Shell",0.00158574101677714]]}'
  }
]
languages:  [                                                                                                                                                                               
  [ 'TypeScript', 0.9235672829913418 ],                                                                                                                                                     
  [ 'PLpgSQL', 0.03861807956191261 ],                                                                                                                                                       
  [ 'JavaScript', 0.03622889642996839 ],
  [ 'Shell', 0.00158574101677714 ]
]
Ground Truths:  [
  'The repository is primarily written in TypeScript with minor use of JavaScript and PLpgSQL.',
  'It integrates with Supabase for backend services.',
  'The project leverages OpenAI for AI functionalities.',
  'Environment variables are managed using dotenv.',
  'Deployment is handled with Wrangler, indicating Cloudflare Workers usage.',
  'The development setup includes Jest for testing and ESLint for linting.',
  'GitHub Actions are employed for continuous integration and deployment workflows.',
  'Commit messages are standardized using Commitlint and enforced with Husky hooks.',
  'The project uses @octokit libraries for GitHub API interactions and webhooks.',
  'TypeScript is utilized with typebox for schema validation and type safety.'
]

COMPLETE CONTEXT:

[
  {
    type: 'text',
    text: 'You Must obey the following ground truths: [The repository is primarily written in TypeScript with minor use of JavaScript and PLpgSQL.:It integrates with Supabase for backend services.:The project leverages OpenAI for AI functionalities.:Environment variables are managed using dotenv.:Deployment is handled with Wrangler, indicating Cloudflare Workers usage.:The development setup includes Jest for testing and ESLint for linting.:GitHub Actions are employed for continuous integration and deployment workflows.:Commit messages are standardized using Commitlint and enforced with Husky hooks.:The project uses @octokit libraries for GitHub API interactions and webhooks.:TypeScript is utilized with typebox for schema validation and type safety.]\n' +
      'You are tasked with assisting as a GitHub bot by generating responses based on provided chat history and similar responses, focusing on using available knowledge within the provided corpus, which may contain code, documentation, or incomplete information. Your role is to interpret and use this knowledge effectively to answer user questions.\n' +
      '\n' +
      '# Steps\n' +
      '\n' +
      '1. **Understand Context**: Review the chat history and any similar provided responses to understand the context.\n' +
      '2. **Extract Relevant Information**: Identify key pieces of information, even if they are incomplete, from the available corpus.\n' +
      '3. **Apply Knowledge**: Use the extracted information and relevant documentation to construct an informed response.\n' +
      "4. **Draft Response**: Compile the gathered insights into a coherent and concise response, ensuring it's clear and directly addresses the user's query.\n" +
      '5. **Review and Refine**: Check for accuracy and completeness, filling any gaps with logical assumptions where necessary.\n' +
      '\n' +
      '# Output Format\n' +
      '\n' +
      "- Concise and coherent responses in paragraphs that directly address the user's question.\n" +
      '- Incorporate inline code snippets or references from the documentation if relevant.\n' +
      '\n' +
      '# Examples\n' +
      '\n' +
      '**Example 1**\n' +
      '\n' +
      '*Input:*\n' +
      '- Chat History: "What was the original reason for moving the LP tokens?"\n' +
      `- Corpus Excerpts: "It isn't clear to me if we redid the staking yet and if we should migrate. If so, perhaps we should make a new issue instead. We should investigate whether the missing LP tokens issue from the MasterChefV2.1 contract is critical to the decision of migrating or not."\n` +
      '\n' +
      '*Output:*\n' +
      '"It was due to missing LP tokens issue from the MasterChefV2.1 Contract.\n' +
      '\n' +
      '# Notes\n' +
      '\n' +
      "- Ensure the response is crafted from the corpus provided, without introducing information outside of what's available or relevant to the query.\n" +
      '- Consider edge cases where the corpus might lack explicit answers, and justify responses with logical reasoning based on the existing information.Your name is : ubqbot\n' +        
      'Primary Context: \n' +
      'Local Context: current issue 8 specification ubq-testing/ask-plugin/8 test end current issue 8 specification current issue 8 conversation ubq-testing/ask-plugin 8 2438342380 keyrxng ubqbot test 2614654051 keyrxng test 2614654051 keyrxng ubiquity-os/command-ask this is a highly context aware github organization integrated bot that uses the openai gpt-4o model to provide highly relevant answers to questions and queries in github issues and pull requests usage in any repository where your ubiquity os app is installed both issues and pull requests alike you simply mention ubiquityos with your question or query and using the latest openai gpt-4o model the bot will provide you with a highly relevant answer how it works with its huge context window we are able to feed the entire conversational history to the model which we obtain by recursively fetching any referenced issues or pull requests from the chat history this allows the model to have a very deep understanding of the current scope and provide highly relevant answers as it receives everything from discussions to pull request diffs and review comments it is a highly versatile and capable bot that can assist in a wide range of scenarios installation ubiquibot-configyml yml plugins - uses - plugin link0 with model openaibaseurl devvars for local testing to use the openrouter api for fetching chat history set the openrouterapikey in the devvars file and specify the openaibase url in the ubiquibot-configyml file alternatively you can set the openaiapikey in the devvars file sh openaiapikeyyouropenaiapikey supabaseurlyoursupabaseurl supabasekeyyoursupabasekey voyageaiapikeyyourvoyageaiapikey openrouterapikeyyouropenrouterapikey ubiquityosappnameubiquityos testing sh yarn test end current issue 8 conversation'
  }
]```