Unofficial Claude AI API with OpenAI-Like Structure

Hacker News

I've created an unofficial API for Claude AI that mimics OpenAI's API structure. This allows for easy integration with existing AI workflows and applications. Features include: Direct console chat with Claude Local server with OpenAI-compatible endpoints Embedding generation support Secure handling of authentication and organization data The repository includes a Python client, FastAPI server, and detailed setup instructions. It's designed to be a drop-in replacement for OpenAI's API in many scenarios, while leveraging Claude's capabilities. I'm looking for feedback, suggestions, and interesting use cases. What do you think about this approach to making Claude more accessible for developers?

Visit product View on Hacker NewsAug 22, 2024

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

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, ios, compatible · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

28%28% 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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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