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feat(phase9): ContentTags schema, system prompt, and GBNF grammar

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ContentTags serde-serialisable. CONTENT_TAGS_SYSTEM is the system
message rendered at extraction time; INTENT_CLOSED_SET is the single
source of truth for the enum values the grammar restricts. Grammar is
strict: lowercase hyphen-joined topic 3+ chars (max enforced by
max_tokens at call site), intent from the closed set, JSON-only
output. Recursive topic-rest matches the existing GBNF style in this
file.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Jake
2026-04-24 23:58:36 +01:00
parent c26d82c26a
commit 1b6ad88ead
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15
crates/llm/src/grammars.rs
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@@ -1,3 +1,18 @@
// Phase 9 content-tag extraction. Restricts the model output to a
// strict {topic, intent} JSON object where topic is a lowercase
// hyphen-joined slug of at least 3 chars (no upper bound is encoded
// in the grammar — max_tokens caps it in practice) and intent is one
// of the six closed-set values. Recursive `topic-rest` keeps the
// shape compatible with the existing GBNF style in this file.
pub const CONTENT_TAGS_GRAMMAR: &str = r##"
root ::= "{" ws "\"topic\":" ws topic-str ws "," ws "\"intent\":" ws intent ws "}" ws
topic-str ::= "\"" topic-char topic-char topic-char topic-rest "\""
topic-rest ::= "" | topic-char topic-rest
topic-char ::= [a-z0-9-]
intent ::= "\"planning\"" | "\"reflection\"" | "\"venting\"" | "\"capture\"" | "\"decision\"" | "\"question\""
ws ::= ([ \t\n] ws)?
"##;
pub const TASK_ARRAY_GRAMMAR: &str = r#"
root ::= "[" ws string ws "," ws string ws "," ws string rest3 ws "]"
rest3 ::= "" | "," ws string rest4