What this error means
Fireworks AI rejects MCP tool schemas unsupported JSON Schema title default litellm is a LiteLLM failure pattern reported for developers trying to fix litellm proxy passing invalid json schema fields (title, default) to fireworks ai when bridging mcp tools, causing api rejections for coralogix/devrev integration users. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #28149 opened by apshada on May 18, 2026 (today). Fresh proxy-to-model compatibility bug. MCP tool schemas contain fields Fireworks AI doesn't accept. Affects enterprise integration users spending money on both LiteLLM proxy and Fireworks AI. Maps to 'LiteLLM' per approved mapping.
Common causes
- GitHub Issue #28149 opened by apshada on May 18, 2026 (today). Fresh proxy-to-model compatibility bug. MCP tool schemas contain fields Fireworks AI doesn't accept. Affects enterprise integration users spending money on both LiteLLM proxy and Fireworks AI. Maps to 'LiteLLM' per approved mapping.
Quick fixes
- Confirm the exact error signature matches
Fireworks AI rejects MCP tool schemas unsupported JSON Schema title default litellm. - Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
- Compare the failing environment with a known working setup, then change one configuration value at a time.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.