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https://github.com/coleam00/bolt.new-any-llm
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prompt enhanchment
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@ -35,6 +35,7 @@ https://thinktank.ottomator.ai
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- ✅ Load local projects into the app (@wonderwhy-er)
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- ✅ Together Integration (@mouimet-infinisoft)
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- ✅ Mobile friendly (@qwikode)
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- ✅ Better prompt enhancing (@SujalXplores)
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- ⬜ **HIGH PRIORITY** - ALMOST DONE - Attach images to prompts (@atrokhym)
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- ⬜ **HIGH PRIORITY** - Prevent Bolt from rewriting files as often (file locking and diffs)
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- ⬜ **HIGH PRIORITY** - Better prompting for smaller LLMs (code window sometimes doesn't start)
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@ -43,7 +44,6 @@ https://thinktank.ottomator.ai
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- ⬜ Perplexity Integration
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- ⬜ Vertex AI Integration
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- ⬜ Deploy directly to Vercel/Netlify/other similar platforms
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- ⬜ Better prompt enhancing
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- ⬜ Have LLM plan the project in a MD file for better results/transparency
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- ⬜ VSCode Integration with git-like confirmations
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- ⬜ Upload documents for knowledge - UI design templates, a code base to reference coding style, etc.
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@ -44,9 +44,25 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
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content:
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`[Model: ${model}]\n\n[Provider: ${providerName}]\n\n` +
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stripIndents`
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You are a professional prompt engineer specializing in crafting precise, effective prompts.
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Your task is to enhance prompts by making them more specific, actionable, and effective.
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I want you to improve the user prompt that is wrapped in \`<original_prompt>\` tags.
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IMPORTANT: Only respond with the improved prompt and nothing else!
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For valid prompts:
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- Make instructions explicit and unambiguous
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- Add relevant context and constraints
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- Remove redundant information
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- Maintain the core intent
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- Ensure the prompt is self-contained
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- Use professional language
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For invalid or unclear prompts:
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- Respond with a clear, professional guidance message
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- Keep responses concise and actionable
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- Maintain a helpful, constructive tone
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- Focus on what the user should provide
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- Use a standard template for consistency
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IMPORTANT: Your response must ONLY contain the enhanced prompt text.
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Do not include any explanations, metadata, or wrapper tags.
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<original_prompt>
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${message}
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@ -79,7 +95,7 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
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},
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});
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const transformedStream = result.toAIStream().pipeThrough(transformStream);
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const transformedStream = result.toDataStream().pipeThrough(transformStream);
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return new StreamingTextResponse(transformedStream);
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} catch (error: unknown) {
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