OpenOpenAI – OSS version of stateful Assistants API

Hacker News

Hey HN, OpenAI's dev day announced GPTs and their programmatic equivalent, the Assistants API. I think there's a ton of value in standardizing assistants, and OpenAI's in arguably the best position to do so, but their API is closed and will likely remain so. So I decided to create a 100% drop-in replacement that's open source and self-hostable. The best part is that all of the API route definitions and types are 100% auto-generated from OpenAI's official OpenAPI spec, so you can swap back and forth between the official API and your own, custom API with one line of code. Would love feedback && I have some open issues on GitHub if you're interested in helping out. Thanks!

Visit product View on Hacker NewsNov 16, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, code, open · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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