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Explore experimental features and cutting-edge research projects. These features are in active development and may change without notice.
These features are experimental
Labs features may have bugs, performance issues, or unexpected behavior. They are not covered by our standard SLA and may be modified or removed at any time.
Intelligent response caching based on semantic similarity. Reduce latency and costs by serving cached responses for semantically similar prompts. Configurable similarity threshold and TTL.
Learn moreAutomatically compress long prompts using LLM-based summarization while preserving key instructions. Reduces token usage by up to 60% without quality loss on supported models.
Learn moreSend the same prompt to multiple models and return the best response based on configurable criteria. Useful for critical applications where accuracy is paramount.
Learn moreDraft-then-verify approach using a small, fast model to generate candidate tokens that are verified by a larger model. Up to 2x throughput improvement on supported model pairs.
Learn moreStream tool calls incrementally as they are generated, rather than waiting for the full response. Enables faster tool execution for multi-step agent workflows.
Learn moreDynamically extend model context windows beyond native limits through intelligent chunking and summarization. Supports up to 1M tokens on any model.
Learn moreWe love collaborating with the community. Share your research ideas or feature requests.
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