package.json

{
  "name": "connect-to-openai",
  "displayName": "Connect To OpenAI",
  "description": "Allows a dev to prompt OpenAI from their editor.",
  "repository": "https://github.com/CalebJamesStevens/connect-to-openai",
  "icon": "images/icon.png",
  "publisher": "CalebJStevens",
  "version": "1.0.3",
  "engines": {
    "vscode": "^1.74.0"
  },
  "categories": [
    "Other"
  ],
  "activationEvents": [
    "onCommand:connect-to-openai.prompt-openai"
  ],
  "main": "./extension.js",
  "contributes": {
    "commands": [{
      "command": "connect-to-openai.prompt-openai",
      "category": "Connect To OpenAI",
      "title": "Prompt OpenAI"
    }],
    "configuration":{
      "title": "Connect To OpenAI",
      "properties": {
        "connect-to-openai.apiKey": {
          "type": "string",
          "default": null,
          "description": "Your OpenAI API Key"
        },
        "connect-to-openai.parameters.model": {
          "type": "string",
          "enum": ["text-davinci-003", "text-curie-001", "text-babbage-001", "text-ada-001", "code-davinci-002", "code-cushman-001"],
          "default": "text-davinci-003",
          "description": "Model to use for the prompt"
        },
        "connect-to-openai.parameters.suffix": {
          "type": ["string", "null"],
          "default": null,
          "description": "The suffix that comes after a completion of inserted text."
        },
        "connect-to-openai.parameters.max_tokens": {
          "type": "integer",
          "default": 16,
          "description": "The maximum number of tokens to generate in the completion."
        },
        "connect-to-openai.parameters.temperature": {
          "type": "number",
          "default": 1,
          "description": "What sampling temperature to use. Higher values means the model will take more risks."
        },
        "connect-to-openai.parameters.top_p": {
          "type": "number",
          "default": 1,
          "description": "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass."
        },
        "connect-to-openai.parameters.n": {
          "type": "integer",
          "default": 1,
          "description": "How many completions to generate for each prompt."
        },
        "connect-to-openai.parameters.stream": {
          "type": "boolean",
          "default": false,
          "description": "Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message."
        },
        "connect-to-openai.parameters.logprobs": {
          "type": ["integer", "null"],
          "default": null,
          "description": "Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens."
        },
        "connect-to-openai.parameters.echo": {
          "type": "boolean",
          "default": false,
          "description": "Echo back the prompt in addition to the completion"
        },
        "connect-to-openai.parameters.stop": {
          "type": ["string", "array", "null"],
          "default": null,
          "maxItems": 4,
          "description": "Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence."
        },
        "connect-to-openai.parameters.presence_penalty": {
          "type": "number",
          "default": 0,
          "minimum": -2.0,
          "maximum": 2.0,
          "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics."
        },
        "connect-to-openai.parameters.frequency_penalty": {
          "type": "number",
          "default": 0,
          "minimum": -2.0,
          "maximum": 2.0,
          "description": "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim."
        },
        "connect-to-openai.parameters.best_of": {
          "type": "integer",
          "default": 1,
          "description": "Generates best_of completions server-side and returns the 'best' (the one with the highest log probability per token). Results cannot be streamed."
        },
        "connect-to-openai.parameters.logit_bias": {
          "type": ["object", "null"],
          "default": null,
          "description": "Modify the likelihood of specified tokens appearing in the completion."
        }
      }
    }
  },
  "scripts": {
    "lint": "eslint .",
    "pretest": "yarn run lint",
    "test": "node ./test/runTest.js"
  },
  "devDependencies": {
    "@types/vscode": "^1.74.0",
    "@types/glob": "^8.0.0",
    "@types/mocha": "^10.0.1",
    "@types/node": "16.x",
    "eslint": "^8.28.0",
    "glob": "^8.0.3",
    "mocha": "^10.1.0",
    "typescript": "^4.9.3",
    "@vscode/test-electron": "^2.2.0"
  }
}