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doctorgpt

Free

Diagnosing web app log errors with ChatGPT.

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Visit Website GitHub (40 stars)

About doctorgpt

DoctorGPT is an open-source, self-contained binary designed to monitor application log files and diagnose errors using OpenAI's GPT models. It tails a specified log file, applies user-defined regex-based parsers to detect error patterns, and when a trigger condition is met, it sends the relevant log context to the GPT API for diagnosis. The tool generates diagnosis files in a specified output directory, providing developers with automated insights into production errors. It is described as not yet production-ready, indicating it is in an early stage of development. DoctorGPT is built for software engineers and DevOps teams who need to streamline error debugging in web applications by leveraging large language models.

Key Features

Monitors application log files in real-time by tailing them
Uses user-defined regex parsers to trigger diagnosis events
Sends log context to OpenAI GPT models (default gpt-4) for error analysis
Generates diagnosis files in a specified output directory
Configurable via YAML configuration file
Supports bundling timeout for multi-line error dumps
Command-line interface with flags for logfile, config, output directory, and model parameters

Pros & Cons

Pros
  • Open-source and free to use (no licensing costs)
  • Lightweight self-contained binary with no external dependencies
  • Automates error diagnosis using powerful GPT models
  • Customizable via regex parsers and YAML configuration
  • Supports real-time log tailing for immediate feedback
Cons
  • Not yet production-ready, as stated in the repository
  • Requires an OpenAI API key and incurs API usage costs
  • Dependent on internet access to communicate with OpenAI's API
  • Effectiveness relies on the quality of user-defined parsers and prompt configuration
  • Free tier limits of OpenAI API should be verified for large-scale use

Best For

Automated error diagnosis in production web applicationsDebugging complex log errors that require contextual understandingReducing manual log analysis time for DevOps and SRE teamsIntegrating GPT-based error analysis into existing log monitoring workflowsLearning from common error patterns in application logs

FAQ

What is DoctorGPT?
DoctorGPT is an open-source binary that monitors application log files and uses OpenAI's GPT models to diagnose errors automatically.
How does DoctorGPT work?
It tails a log file, applies user-defined regex parsers to detect error patterns, and sends the relevant log context to the GPT API for diagnosis, generating a diagnosis file.
Is DoctorGPT free to use?
The tool itself is open-source and free, but it requires an OpenAI API key, which may incur costs based on API usage.
What GPT models does DoctorGPT support?
Based on available information, it defaults to gpt-4 and supports models listed in the OpenAI API documentation.
Is DoctorGPT production-ready?
The repository states it is not production-ready yet, so users should exercise caution when deploying it in live environments.
How do I configure DoctorGPT?
Configuration is done via a YAML file specified at startup, along with command-line flags for logfile, output directory, and model parameters.