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Hiroshi implements a robust history hygiene pipeline that intercepts incoming and outgoing messages to maintain perfect structural compatibility across distinct LLM providers.

🧹 1. Empty Record Pruning

Many providers fail to deserialize blank or whitespace-only messages. The hygiene pipeline automatically prunes empty assistant or user records, preventing structural schema validation failures.

🔗 2. Orphaned Tool Corrections

When a provider outputs a tool call but the execution fails or gets aborted, we inject synthetic success/failure markers matching the required transaction UUIDs to guarantee structural safety.

🧠 3. Thinking Signature Transpositions

Converts complex thinking signatures (e.g. Anthropic’s <thinking> XML sections) into plain-text annotations or system prompts when calling model providers that do not natively support dual-stage thinking payloads.