LLMForge.dev: A Free Toolkit for Building with AI Models
If you're building with GPT-4, Claude, Gemini, Llama, or other LLMs, you've probably hit these pain points:
- Guessing token costs and managing budgets
- Comparing models across different providers
- Figuring out context window limits
- Dealing with chunking and embeddings
- Generating JSON schemas for function calling
- Testing and optimizing prompts
- Visualizing RAG pipelines
Most devs bounce between docs, spreadsheets, random calculators, and custom scripts just to answer basic questions.
*LLM Forge (llmforge.dev) * solves this with 14+ practical tools in one place — completely free, no sign-up required.
Cost & Token Tools
- Token Counter – See exactly how many tokens your text uses
- Token Cost Calculator – Estimate API costs before deployment
- Embedding Cost Calculator – Plan vector database expenses
- Batch API Estimator – Calculate savings with batch processing
- Fine-tuning Cost Estimator – Budget for custom model training
Model Analysis Tools
- Model Comparison Table – Side-by-side feature and pricing comparison
- Context Window Calculator – Understand token limits per model
- Response-Time Comparison – Benchmark latency across providers
- Rate-Limit Calculator – Plan around API throttling
Developer Utilities
- JSON Schema Generator – Create function calling schemas
- Prompt Template Builder – Structure reusable prompts
- Token Optimizer – Reduce costs without losing quality
- Text Chunk Visualizer – See how your text splits for embeddings
- RAG Pipeline Visualizer – Map out retrieval workflows
- System Prompt Library – Browse tested prompt patterns
Why It Matters
Modern AI development isn't just "call the API." Real production apps need:
✅ Cost planning and budget control
✅ Prompt engineering and testing
✅ Context management strategies
✅ Smart chunking for RAG systems
✅ Informed model selection
✅ Proper function schema design
✅ Rate-limit awareness
LLM Forge gives you a pre-production lab to simulate, validate, and compare design choices before deploying.
The Bottom Line
Clean UI. No ads. No paywall. Built by developers who work with LLMs at scale.
Whether you're maintaining AI apps, building RAG pipelines, or just learning about LLMs, this toolkit is worth having in your bookmarks.
🔗 Check it out: llmforge.dev
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