Troubleshooting
If you encounter issues while running or configuring OpenSlop, this page covers the most common problems and their solutions.
The openslop Command is Not Found
Issue: After installing OpenSlop, running openslop in your terminal returns command not found: openslop.
Solution:
- Check if the global installation location of your package manager (npm, bun, pnpm, or yarn) is added to your system’s
PATH. - Start a new terminal session. Sometimes the terminal does not register newly installed global binaries until you restart it or open a new window.
Agent is Generating Poor Quality Code
Issue: OpenSlop produces buggy code, hallucinates APIs, or deletes important files.
Solution: The quality of OpenSlop’s output is directly tied to the underlying LLM’s capabilities.
- Ensure your
modelconfiguration specifies a strong, frontier-tier model (e.g.,claude-3-5-sonnet-20240620,gpt-4o). - Avoid using small local models (like a 7B parameter model) for complex workflows as they lack the reasoning capacity for autonomous agentic loops.
Authentication or API Key Errors
Issue: You receive a 401 Unauthorized or Invalid API Key error when the agent attempts to run.
Solution:
- Double-check your
apiKeyin your configuration file. - Verify that your
baseUrlmatches the provider you are attempting to use. Some providers require/v1at the end of the URL (e.g.,https://api.openai.com/v1). - Ensure you have sufficient credits/balance with your AI provider.
Agent Gets Stuck in an Endless Loop
Issue: OpenSlop keeps repeating the same command or applying the same failing edit over and over again.
Solution:
- Abort the process by pressing
Ctrl + Cin your terminal. - Review the context. Sometimes an overly vague prompt or an unsolvable syntax error confuses the agent.
- Try clarifying your instructions to be extremely specific, guiding the agent out of the loop.
- If using a weaker model, switch to a more capable model.
If your issue isn’t listed here, feel free to open an issue on the OpenSlop GitHub Repository .
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