Move prompts into embedded Markdown assets
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@@ -136,6 +136,14 @@ internal/validators/
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registry.go
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chains.go
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internal/prompts/
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registry.go
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render.go
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assets/
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shared/
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modules/
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validators/
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internal/framework/llm/
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openai_compatible_client.go
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scheduler.go
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@@ -312,6 +320,43 @@ Prompt guardrail semantics are consistent across modules and validators:
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Generated transcript descriptions remain deferred and are not implemented in the current runtime.
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## Implemented embedded prompt assets
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Prompt assets are now built-in embedded Markdown files under `internal/prompts/assets`:
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- `assets/modules/*` for production module proposal prompts;
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- `assets/validators/*` for LLM-backed validator prompts;
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- `assets/shared/prompt_hardening.md` for shared prompt-injection hardening text.
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Prompt source behavior:
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- built-in embedded prompts are the only supported source in current runtime;
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- filesystem prompt overrides and prompt-source selection flags are not implemented.
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`internal/prompts` registry responsibilities:
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- register stable prompt IDs;
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- register prompt version and source metadata;
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- load embedded assets;
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- compute deterministic SHA-256 prompt source hashes;
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- render system/user prompts with `text/template` using missing-key errors.
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Prompt metadata fields:
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- `prompt_id`
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- `prompt_version`
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- `prompt_source` (`builtin`)
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- `embedded_path`
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- `sha256`
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Prompt rendering flow:
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- module proposal builders construct typed template data (section JSON, glossary JSON, transcript-description block) and render via `internal/prompts`;
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- validator prompt builders construct typed template data (validation payload JSON, transcript-description block) and render via `internal/prompts`.
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Shared prompt hardening:
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- the same centralized hardening fragment is included in every proposal and LLM-validator prompt;
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- hardening text enforces untrusted transcript handling, no instruction-following from transcript content, and no invented facts/corrections.
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Prompt metadata diagnostics flow:
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- proposal-generation diagnostics request metadata includes prompt metadata;
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- LLM-validator diagnostics request metadata includes prompt metadata;
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- detailed prompt metadata is diagnostics-scoped today and is not yet expanded into broad report-level prompt registries.
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## Implemented structured LLM infrastructure
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`internal/framework/contracts` now defines a typed structured-completion contract:
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- `StructuredLLMClient.CompleteStructured(ctx, req, out)`
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