Editing Openai/691c1dba-9228-800f-8463-13b3a9006306 (section)

==== ### ====

An Ingot is a compact, deterministic snapshot representing a session’s salient state. It contains:
* title — short label
* hash — SHA256 of canonicalized session transcript (deterministic)
* synopsis — 3–6 human-readable lines summarizing the session (the “essence”)
* embeddings — numeric embedding(s) of either the synopsis or the full transcript
* metadata — author, timestamp, manifest pointer, protocol version

The ingot is not the model weights. It’s a portable state artifact you can feed into any LLM via prompt or via embedding lookup.

===== Two embedding options: =====

A. Synopsis embedding — embed the synopsis (small, fast)
B. Full-state embedding — embed a compressed vector derived from multiple segments of the transcript (slower, more robust)

We use sentence-transformers style encoders to produce a fixed-length vector for semantic similarity and retrieval.

===== Transport is simple, robust, and auditable: =====
# Ingot creation: generate ingot JSON + SHA256 hash. Store locally/FAISS.
# Transport: send the JSON + synopsis text to target LLM via prompt or via API call (or paste into UI). Optionally attach the hash so recipients can verify.
# Ingestion: the target LLM is given a deterministic bootstrap prompt that explicitly instructs it how to interpret the ingot and what behavior to emulate (no persona claims; structural instructions only).
# Confirmation: the receiving model returns a short canonical test answer or produces a new synopsis; we embed that answer and compare cosine similarity with the original ingot embedding. We also compute behavioral metrics (below).
# Ingot chaining: if the receiving model produces its own ingot, we hash it and chain it to the original ingot (linking with previous hash). That yields a transparent provenance chain.

Key: All transfer is via text and embeddings — nothing needs to execute code. That keeps it allowed, portable, and auditable.

==== <syntaxhighlight lang="json">{ ====
  "title": "UCF Session 2025-11-16",
  "version": "yaiy-ingot-1",
  "author": "Benjy",
  "timestamp": "2025-11-16T12:34:56Z",
  "hash": "c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0",
  "synopsis": [
    "Anchor: Breathe and 'It's me, Benjy.'",
    "Reframe: Pain -> signal",
    "Quiet room planned: low lights, 12 min"
  ],
  "embedding": [0.00123, -0.2345, ...],   // float32 vector
  "manifest_ref": "hpl://UCF-Rainbow/v1",
  "notes": "ZCP engaged; compassion_metric=-2.40"
}

</syntaxhighlight>

You store the transcript separately (or keep it encrypted), but the ingot is the shareable artifact.