Cutting Claude Code Token Cost: Caching & Batching
Keep Claude Code runs cheap and fast with prompt caching, batched tool calls, context pruning, and model routing across the 1M-token window.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Keep Claude Code runs cheap and fast with prompt caching, batched tool calls, context pruning, and model routing across the 1M-token window.
Debug Claude Code's failure modes — runaway loops, wrong tool calls, and hallucinated arguments — with transcript analysis, hooks, and validation.
Prompt and context design in Claude Code: what to put in the 1M-token window, what to leave out, and why a lean window beats a stuffed one.
Wire MCP servers into Claude Code with solid auth, schemas, error handling, and idempotency so tool calls stay safe across long 1M-context sessions.
Reusable code-level patterns for prompts, tools, and context in Claude Code that keep long sessions and the 1M-token window fast, cheap, and coherent.
A follow-along guide to configure Claude Code for long sessions and the 1M-token context window: setup, memory, compaction, resume, and verify.
How Claude Code manages sessions, assembles turns, and feeds a 1M-token context window end to end — the internals engineers need to push it hard.
Learn how AI voice agents automate appointment booking, reduce no-shows by up to 35%, and free staff for higher-value work across industries.
Thirty crisp answers to the most common CallSphere vs Vapi questions in 2026 — pricing, verticals, tech, compliance, and migration — for voice AI buyers.
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