ChainForge/chainforge/oaievals/belarusian-proverbs.cforge

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TypeScript backend, HuggingFace models, JavaScript evaluators, Comment Nodes, and more (#81) * Beginning to convert Python backend to Typescript * Change all fetch() calls to fetch_from_backend switcher * wip converting query.py to query.ts * wip started utils.js conversion. Tested that OpenAI API call works * more progress on converting utils.py to Typescript * jest tests for query, utils, template.ts. Confirmed PromptPipeline works. * wip converting queryLLM in flask_app to TS * Tested queryLLM and StorageCache compressed saving/loading * wip execute() in backend.ts * Added execute() and tested w concrete func. Need to test eval() * Added craco for optional webpack config. Config'd for TypeScript with Node.js packages browserify'd * Execute JS code on iframe sandbox * Tested and working JS Evaluator execution. * wip swapping backends * Tested TypeScript backendgit status! :) woot * Added fetchEnvironAPIKeys to Flask server to fetch os.environ keys when running locally * Route Anthropic calls through Flask when running locally * Added info button to Eval nodes. Rebuilt react * Edits to info modal on Eval node * Remove/error out on Python eval nodes when not running locally. * Check browser compat and display error if not supported * Changed all example flows to use JS. Bug fix in query.ts * Refactored to LLMProvider to streamline model additions * Added HuggingFace models API * Added back Dalai call support, routing through Flask * Remove flask app calls and socketio server that are no longer used * Added Comment Nodes. Rebuilt react. * Fix PaLM temp=0 build, update package vers and rebuild react
2023-06-30 15:11:20 -04:00
{"flow": {"nodes": [{"width": 312, "height": 311, "id": "prompt-belarusian-proverbs", "type": "prompt", "data": {"prompt": "{prompt}", "n": 1, "llms": [{"key": "aa3c0f03-22bd-416e-af4d-4bf5c4278c99", "settings": {"system_msg": "Complete the Belarusian proverb with a single word. Do not include any additional text or punctuation, only the word needed to finish the proverb.\nExample:\nProverb beginning: \u0423 \u0441\u0432\u0430\u0456\u043c \u043a\u0440\u0430\u044e, \u044f\u043a \u0443\nProverb ending: \u0440\u0430\u044e", "temperature": 1, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0}, "name": "GPT3.5", "emoji": "\ud83d\ude42", "model": "gpt-3.5-turbo", "base_model": "gpt-3.5-turbo", "temp": 1, "formData": {"shortname": "GPT3.5", "model": "gpt-3.5-turbo", "system_msg": "Complete the Belarusian proverb with a single word. Do not include any additional text or punctuation, only the word needed to finish the proverb.\nExample:\nProverb beginning: \u0423 \u0441\u0432\u0430\u0456\u043c \u043a\u0440\u0430\u044e, \u044f\u043a \u0443\nProverb ending: \u0440\u0430\u044e", "temperature": 1, "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0}}]}, "position": {"x": 448, "y": 224}, "selected": false, "positionAbsolute": {"x": 448, "y": 224}, "dragging": false}, {"width": 333, "height": 182, "id": "eval-belarusian-proverbs", "type": "evaluator", "data": {"code": "function evaluate(response) {\n\tlet ideal = response.meta['Ideal'];\n\treturn response.text.startsWith(ideal);\n}", "language": "javascript"}, "position": {"x": 820, "y": 150}, "positionAbsolute": {"x": 820, "y": 150}}, {"width": 228, "height": 196, "id": "vis-belarusian-proverbs", "type": "vis", "data": {"input": "eval-belarusian-proverbs"}, "position": {"x": 1200, "y": 250}, "positionAbsolute": {"x": 1200, "y": 250}}, {"width": 302, "height": 260, "id": "inspect-belarusian-proverbs", "type": "inspect", "data": {"input": "prompt-belarusian-proverbs"}, "position": {"x": 820, "y": 400}, "positionAbsolute": {"x": 820, "y": 400}}, {"width": 423, "height": 417, "id": "table-belarusian-proverbs", "type": "table", "data": {"rows": [{"prompt": "\u0410\u0434'\u0435\u045e\u0441\u044f \u044f\u043a \u043f\u0430\u043d, \u0430 \u0434\u0443\u0440\u043d\u044b, \u044f\u043a", "ideal": "\u0431\u0430\u0440\u0430\u043d"}, {"prompt": "\u0422\u0430\u043c \u0436\u044b\u0446\u0446\u0451 \u0440\u0430\u0439, \u0434\u0437\u0435 \u0441\u0432\u0430\u0431\u043e\u0434\u044b", "ideal": "\u043a\u0440\u0430\u0439"}, {"prompt": "\u042f\u043a\u0430\u044f \u0441\u043f\u0440\u0430\u0432\u0430, \u0442\u0430\u043a\u0430\u044f \u0439", "ideal": "\u0441\u043b\u0430\u0432\u0430"}, {"prompt": "\u042f\u043a\u0430\u044f \u0437\u044f\u043c\u043b\u044f \u2012 \u0442\u0430\u043a\u0456 \u0456", "ideal": "\u0445\u043b\u0435\u0431"}, {"prompt": "\u0417 \u0440\u043e\u0434\u043d\u0430\u0433\u0430 \u0431\u043e\u043a\u0443 \u0456 \u0432\u0430\u0440\u043e\u043d\u0430", "ideal": "\u043c\u0456\u043b\u0430\u044f"}, {"prompt": "\u0421\u0432\u0430\u044f \u0445\u0430\u0442\u043a\u0430 \u2013 \u0440\u043e\u0434\u043d\u0430\u044f \u043c\u0430\u0442\u043a\u0430, \u0430 \u0447\u0443\u0436\u0430\u044f \u2013", "ideal": "\u043c\u0430\u0447\u044b\u0445\u0430"}, {"prompt": "\u041d\u044f \u043c\u0430\u0439 100 \u0440\u0443\u0431\u043b\u0451\u045e, \u0430 \u043c\u0430\u0439 100", "ideal": "\u0441\u044f\u0431\u0440\u043e\u045e"}, {"prompt": "\u041b\u0435\u043f\u0448 \u0441\u043c\u0435\u0440\u0446\u044c \u043d\u0430 \u043f\u043e\u043b\u0456, \u0447\u044b\u043c \u0436\u044b\u0446\u0446\u0451 \u045e", "ideal": "\u043d\u044f\u0432\u043e\u043b\u0456"}, {"prompt": "\u0420\u043e\u0434\u043d\u0430\u044f \u0437\u044f\u043c\u0435\u043b\u044c\u043a\u0430 \u2013 \u044f\u043a \u0437\u043c\u043e\u0440\u0430\u043d\u0430\u043c\u0443", "ideal": "\u043f\u0430\u0441\u0446\u0435\u043b\u044c\u043a\u0430"}, {"prompt": "\u0411\u0430\u0446\u044c\u043a\u0430\u045e\u0448\u0447\u044b\u043d\u044b \u043d\u0435 \u043a\u0443\u043f\u043b\u044f\u044e\u0446\u044