Bolt.new Out of Tokens Fix: A Practical Guide

Updated June 2026

Encountering the “Bolt.new out of tokens” error can stop your AI workflow. This guide provides clear steps to understand and fix this common issue, getting your AI tool back on track.

What this problem means

Encountering the “Bolt.new out of tokens” error can stop your AI workflow. This guide provides clear steps to understand and fix this common issue, getting your AI tool back on track.

Understanding “Bolt.new out of tokens”

This error means your AI tool has reached its token limit. AI models process information in “tokens,” which are fragments of words or characters. Every input (your prompt), output (the AI’s response), and conversation history consumes tokens. Each AI model has a maximum number of tokens it can handle at once – its context window. Exceeding this limit results in the “Bolt.new out of tokens” message, indicating the AI cannot process further.

Immediate Fixes: Reduce Your Input

The quickest way to resolve “Bolt.new out of tokens” is to reduce the amount of information the AI needs to process.

1. Shorten Your Prompt: Make your current prompt more concise. Remove unnecessary words, examples, or lengthy descriptions. Focus on the core request.

   • Example: Instead of “I need a very long and detailed report about the history of artificial intelligence, starting from its early beginnings in the 1950s all the way to modern machine learning, covering key milestones, influential figures, and societal impacts. Please write at least 2000 words.”, try “Generate a concise overview of AI history, 1950s to present, covering key milestones and figures (approx. 500 words).”

2. Break Down Complex Requests: Divide multifaceted tasks into smaller, manageable parts. Ask the AI to complete one part, then another, referencing previous outputs as needed.

   • Strategy: “First, summarize document X. Then, based on that summary, identify three key challenges. Finally, propose solutions for those challenges.”

3. Clear Previous Conversation History: In conversational AI tools, the entire chat history counts towards the token limit. Starting a new chat or deleting previous messages frees up the context window.

   • Action: Look for “New Chat,” “Start New Conversation,” or “Clear History” in your AI tool’s interface.

4. Limit AI Output Length: The AI’s generated output also consumes tokens. Specify a shorter desired output length in your prompt.

   • Instruction: “Summarize this article in 3 paragraphs.” or “List 5 key points.”

Advanced Strategies: Optimize Prompts and Settings

For recurring “Bolt.new out of tokens” errors, consider these optimization techniques.

1. Use Precise and Efficient Language: Avoid vague language that might lead the AI to generate lengthy or tangential responses. Be direct and unambiguous.

   • Tip: Focus on essential information for the AI to understand and generate the desired output.

2. Summarize Key Information: If providing a long document or previous conversation, summarize the most critical parts yourself, or ask the AI to summarize first before a new task.

   • Technique: “Here’s a summary of our last discussion: [your summary]. Now, based on this, what’s the next step?”

3. Adjust Model Parameters (If Available): Some advanced AI interfaces or APIs allow setting a max_tokens parameter for the AI’s response. Lowering this prevents excessively long outputs.

   • Check: Explore settings or API documentation for options like max_tokens, temperature, or top_p.

4. Understand Your AI Model’s Token Limits: Different AI models (e.g., GPT, Claude, Gemini) have varying token limits. Be aware of the specific limits for the model you are using.

   • Research: Search for “[AI tool name] token limits” or “[AI model name] context window.”

Checking System Limits and Status

Sometimes, the issue isn’t just your prompt.

1. Review AI Tool Documentation: Refer to official documentation or the help center for your specific AI tool. They detail token limits, best practices, and troubleshooting.

2. Check Platform Status Pages: Outages, server overloads, or maintenance can manifest in unusual error messages. Visit the official status page for your AI service.

   • Find: Search for “[AI tool name] status page” (e.g., “OpenAI status,” “Anthropic status”).

3. Contact Support: If you’ve tried all above steps and consistently encounter the “Bolt.new out of tokens” error with short prompts, contact the AI tool’s customer support.

Q1: What exactly are “tokens” in AI?

Tokens are the basic units of text AI models process. They can be individual words, parts of words, or punctuation. AI models convert input into tokens, perform computations, and generate output, also in tokens.

Diagnostic checklist before you escalate

Before changing code, capture the exact error, HTTP status, request ID, SDK and model version, and a sanitized request shape. Reproduce the failure with the smallest possible input. This separates schema and integration bugs from upstream outages, authentication failures, quotas, and errors inside the external service your code calls.

1. Log status codes, timestamps, model or SDK versions, and correlation IDs without recording secrets.
2. Reduce the integration to one request, one tool or endpoint, and deterministic test data.
3. Validate inputs and outputs at the application boundary instead of trusting generated structures.
4. Retry only transient failures with bounded exponential backoff and jitter.
5. Test credentials, permissions, quotas, and the external dependency independently.

Verify the fix without hiding the original error

After changing the integration, rerun the smallest request that previously failed in Bolt.new Out of Tokens. Keep the input, account, region, model, and environment constant so the result measures your change rather than a new variable. A successful test should return the expected structure and also leave a trace in your application logs with the correct request or correlation ID.

Then test one controlled failure: omit a required field, use an invalid identifier, or make the stub dependency return a safe error. Your application should reject or explain that failure cleanly instead of crashing, retrying forever, or exposing an upstream response. Finally, restore normal traffic gradually while watching latency, error rate, token or request usage, and queue depth.

• One known-good request succeeds with the expected output.
• One known-bad request fails with a clear, sanitized message.
• Logs contain enough context to trace the request but no credentials.
• Retries stop after the configured attempt limit.
• A second environment or teammate can reproduce the result.

Keep a short note of the working configuration and the date of the test. Products, models, browser versions, limits, and safety policies change over time, so a previously successful workaround may later become obsolete. Prefer current official documentation over old forum instructions, and reverse temporary diagnostic changes once testing is complete. This gives you a reliable baseline without leaving extensions disabled, security controls weakened, or experimental settings enabled indefinitely. Recheck the baseline after major updates before assuming an older failure has returned for the same reason.

When none of the fixes work

Repeat the smallest failing action once and record the exact local time and time zone. Note the product, model or feature, account plan, browser or app version, operating system, and whether the same action works in a private window, on another device, or on another network. This evidence is much more useful than saying the tool is “still broken.”

Use the provider’s official support channel. Include a screenshot with sensitive information removed and list the steps already tested. For developer tools, add sanitized request and response details, correlation IDs, and SDK versions. Never send passwords, one-time codes, API keys, session cookies, private repository contents, or complete payment information.

Frequently asked questions

Should I reinstall the app immediately?

No. Check service status, session, browser, and network first. Reinstall only when the failure is isolated to the installed app.

What should I send to support?

Include the exact error, timestamp and time zone, device, browser or app version, and the troubleshooting steps already tested. Remove secrets and personal data.

Bottom line: Work from the least disruptive test to the most specific one. Confirm service health, isolate session and network variables, then escalate with clean evidence instead of repeating the same failing action.