The original title is "Why we replaced AI orchestration frameworks with direct API calls in production"

Short summary

An engineering team shares why they abandoned heavy AI orchestration frameworks after hitting three walls: debugging transparency loss, customization rigidity, and hidden latency/token bloat. Frameworks that accelerate weekend prototypes become straightjackets in enterprise environments where you need fine-grained control over prompts, caching, permissions, and API calls. The team ultimately halted feature development to rewrite their stack with direct API calls, trading initial speed for long-term maintainability.

• •Heavy orchestration frameworks hide prompts and stack traces, making debugging nearly impossible in production
• •Custom business logic like auth headers and data scrubbing requires painful workarounds against framework opinions
• •Hidden framework-injected context wastes tokens and adds latency that compounds at scale

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