GPTboost is a SaaS tool for apps using OpenAI API. By adding a simple code snippet to your LLM app, GPTboost empowers you to monitor your LLM usage, incl. Function Calling, Version Controls, AI Response Feedback, History and Debug Logs, GPT Model Comparison,. These insights will help you improve your app performance and overall user experience, which in turn can lead to better business results.

Yes, you can absolutely use GPTBoost with LangChain. Add one line of base_URL code to your LLM app and you will be able to use both LangChain and GPTBoost functionalities.

You can use GPTBoost with your Azure-OpenAI deployment, and it requires no additional code changes beyond replacing the Azure endpoint with the GPTBoost URL. Check Azure integration documentation for more detail

Yes, with the Annotation agent tools we recently added in GPTBoost, you can run sentiment analysis on top of user requests, mark them accordingly and analyze only the ones that matter to you in order to improve your prompts. You can use our "Sentiment Analysis" agent or create a custom one on your own.

Yes, majority of our clients are building customer support apps based on LLM models and GPTBoost tools are optimized for this use case:
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· You have logs of the chat communication
· You can activate feedback functionality
· You can use Annotations Agents to automatically analyze aspects of the AI implementations
· Bug reposting features are also available
· And downloads in JSON format allows for easier model retraining

We'll be happy to hear your feedback and add more features, which you need - reach out via chat or contact form.

GPTBoost Omit Logging feature will take care of that. You have the option to hide either the prompot, or the response, or both. Check documentation on omit logging for more details.
You can also activate Privacy Officer or another custom Annotation Agent to monitor and notify you in case of PII leakage.

Here are some of the GPTBoost tools, which our users love and prefer us over similar SaaS products:

· User feedback API
· Bug reporting
· Prompt and function call progress tracking
· Data export in JSON for model retraining
· NEW: Sentiment analysis annotation agent
· NEW: Annotation agent for chats without answers
· NEW: Privacy leakage tracker
· and more.
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We put our customers needs first and work closely with developers building their OpenAI/Chat GPT apps. GPTBoost is a collaborative solution that will help your whole team speed up development and go from POC (proof of concept) to a fully functional product in no time.

Currently, GPTBoost supports OpenAI and Azure OpenAI. We're working on adding support for other LLMs incl. Bard, Claude, LLaMA and more. Send us a note at hello@gptboost.io to let us know which models you would like us to prioritize for you.

Yes, storing data on your own server is possible. Please contact us for details.