
Published by AcruxCore
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For engineering teams building and maintaining LLM-powered features, AcruxCore helps connect prompt changes to production behavior so they can investigate poor responses and update prompts without redeploying their application. Teams can manage prompt templates and versions, then switch the production alias to a new version when it is ready. Traces show model, token, latency, and cost details for calls, with sessions and span feedback to help locate problems. AcruxCore also provides an OpenAI-compatible gateway for routing calls to connected model providers, with options for fallbacks, budgets, rate limits, and caching. Teams can manage versioned tools, evaluate prompts and models against datasets, and keep an audit trail of changes. TypeScript and Python SDKs and a REST API are available. Use the hosted platform or self-host it; the project is open source under the Apache 2.0 license.
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