Design a token budget allocation system for complex multi-step pipelines. ## Pipeline Steps {{pipeline_steps}} ## Total Budget {{total_token_budget}} ## Priority Rules {{priority_rules}} Implement allocation: ```python class TokenBudgetAllocator: def __init__(self, total_budget: int, steps: List[PipelineStep]): pass def allocate(self, content_lengths: Dict[str, int]) -> Dict[str, int]: """ Allocation strategies: - Fixed allocation per step - Dynamic based on content - Priority-based with minimums """ pass def rebalance(self, used: Dict[str, int], remaining_steps: List[str]) -> Dict[str, int]: """Rebalance unused tokens to later steps""" pass def enforce_budget(self, step: str, content: str, budget: int) -> str: """Truncate/summarize to fit budget""" pass ``` Include: - Dynamic rebalancing - Priority handling - Overflow strategies - Budget tracking metrics
Token Budget Allocator
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Design a token budget allocation system for multi-step LLM pipelines with dynamic rebalancing and priority-based distribution.
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Token managementBudget allocationPipeline optimization
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claude-sonnet-4-20250514gpt-4o
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