As users increasingly integrate OpenAI models like GPT-3 or GPT-4 into their workflows, it becomes important to have a seamless and robust logging mechanism for these models within W&B. This feature aims to introduce OpenAI trace logging to capture important metrics, queries, and responses for analysis and debugging.
Suggested Solution
Automatic Activation: When a user initializes an OpenAI model, W&B should automatically detect it and activate the OpenAI trace logging.
Customizable Logging: Allow users to select what to log (e.g., input queries, model responses, latency, etc.) through a simple UI or configuration file.
Integration with Existing Dashboards: The logged data should be easily accessible and visualizable on the existing W&B dashboards, preferably in a new tab or section dedicated to OpenAI models.
Real-Time Updates: The logs should update in real-time and be filterable for easy debugging.
Storage and Export Options: Provide options to store logs in various formats (JSON, CSV) and integrate with third-party storage solutions like AWS S3.
Alternatives
Manual Logging: Instead of automatic activation, provide users with an API to manually activate and configure the OpenAI trace logging.
Plug-in System: Instead of building it as a core feature, offer it as a plug-in that users can install separately.
Additional Context
Having OpenAI trace logging can:
Help in debugging issues in real-time.
Provide insights for fine-tuning models.
Aid in ensuring compliance with data usage policies.
luiscosio
commented
1 year ago
Description
As users increasingly integrate OpenAI models like GPT-3 or GPT-4 into their workflows, it becomes important to have a seamless and robust logging mechanism for these models within W&B. This feature aims to introduce OpenAI trace logging to capture important metrics, queries, and responses for analysis and debugging.
Suggested Solution
Automatic Activation: When a user initializes an OpenAI model, W&B should automatically detect it and activate the OpenAI trace logging.
Customizable Logging: Allow users to select what to log (e.g., input queries, model responses, latency, etc.) through a simple UI or configuration file.
Integration with Existing Dashboards: The logged data should be easily accessible and visualizable on the existing W&B dashboards, preferably in a new tab or section dedicated to OpenAI models.
Real-Time Updates: The logs should update in real-time and be filterable for easy debugging.
Storage and Export Options: Provide options to store logs in various formats (JSON, CSV) and integrate with third-party storage solutions like AWS S3.
Alternatives
Manual Logging: Instead of automatic activation, provide users with an API to manually activate and configure the OpenAI trace logging.
Plug-in System: Instead of building it as a core feature, offer it as a plug-in that users can install separately.
Additional Context
Having OpenAI trace logging can: