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buzz/scripts/model-capabilities.json
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Will PflegerGitHubDuncan
 1b7e5ac1be feat(model-capabilities): drive model capabilities and labels from one manifest (#5597) 
## Summary

Centralizes model capability knowledge — thinking mode, supported effort
levels, wire routes, and human-readable labels — into a single manifest,
`scripts/model-capabilities.json`. Rust and TypeScript each get a small
interpreter that reads the same manifest, replacing hand-maintained
tables scattered across both languages that had already drifted apart. A
capability change is now a data edit, not parallel edits to two code
paths. Supersedes the codegen approach explored in #3603.

A cross-language contract keeps the two interpreters honest:
`scripts/normative-corpus.json` is a golden snapshot generated from the
Rust resolver (103 vectors covering all six capability axes) and
replayed natively in TS. CI fails if either language disagrees with the
corpus or the corpus drifts from the resolver. Regenerate with `just
regen-model-corpus`.

## Behavior changes

- **Effort dropdown for `openai-compat` providers** no longer offers
`max`. The request path always clamped `max` to `xhigh` on the wire, so
the UI stops offering a value that was silently rewritten. UI-only,
wire-identical.
- **Databricks v2 routing (wire-visible):** uncurated endpoint names
carrying a bare Claude code-name segment (e.g. `goose-opus-5`) now route
to the MLflow chat wire instead of Anthropic Messages — they lose
Anthropic prompt caching but still succeed on a valid OpenAI-compatible
wire. Curated `databricks-claude-*` records and any name starting with
`claude` are unchanged. A handful of other uncurated/adversarial name
shapes similarly fall back to MLflow chat instead of pattern-matched
routes; every curated model resolves identically to before, all axes.
- **Curated model labels on the real discovery path.** The Databricks
API returns no display name, so discovery emits the raw endpoint id as
the model `name` (`{id, name: id}`) on every path. `ModelEntry.name` is
now curated at all four construction seams in `buzz-agent` — v2
discovery, v1 parse, the auth-empty default catalog, and the
configured-model fallback — via a read-only `databricks_registry_label`
lookup over the manifest's `databricks_v2` exact records; `id` stays the
raw wire/config value. A known id renders its curated label
(`databricks-gpt-5-5` → `GPT-5.5`), an unknown id passes through
unchanged, and the default-catalog row reads `GPT-5.5 (default
catalog)`. As a defense against older `buzz-agent` binaries and any
harness that echoes ids, `resolveModelLabel` treats a discovered name
equal to the trimmed id as absent and falls through to the registry
tier; a genuinely distinct name (including the suffixed default-catalog
label) still wins.

## Cleanup

Deletes the duplicated capability tables and their tests: the
`config.rs` gpt5 matchers, effort tables, and clamp logic; the legacy
segment-based Databricks v2 route classifier in `llm.rs`; and the TS
hand tables plus `effortTable.fixture.json`. All are replaced by
manifest lookups through the shared resolver — no line of capability
data exists in two places.

---------

Signed-off-by: Will Pfleger <pfleger.will@gmail.com>
Signed-off-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz>
Co-authored-by: Duncan <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz>
2026-08-17 11:23:28 -04:00

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{
"_comment": "Hand-curated model capability manifest — the single runtime artifact. Consumed directly by Rust (include_str! + serde + OnceLock) and TypeScript (JSON import + zod). No codegen. Exact records are AUTHORITATIVE six-axis snapshots: they do NOT inherit from family rules at runtime. MAINTENANCE RULE: any capability change to a family/prefix rule or a provider fallback must audit every exact_record whose _provenance names that source and update the snapshot (and its corpus expectations) wherever the contract change is intended. Divergence between an exact snapshot and its origin rule is legal and sometimes correct (e.g. provider-advertised effort overrides).",
"_sources": {
"models_dev": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0)",
"anthropic_thinking": "https://platform.claude.com/docs/en/build-with-claude/extended-thinking (July 2025)",
"anthropic_effort": "https://platform.claude.com/docs/en/build-with-claude/effort (July 2025)",
"openai_reasoning": "https://platform.openai.com/docs/guides/reasoning (July 2025)"
},
"family_tokens": [
"claude-",
"gpt-"
],
"family_rules": [
{
"id": "anthropic-manual-budget-claude3",
"match_kind": "prefix",
"match_value": "claude-3",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "manual-budget",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": null,
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-manual-budget-opus-4-5",
"match_kind": "exact",
"match_value": "claude-opus-4-5",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "manual-budget",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": null,
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-opus-4-7",
"match_kind": "prefix",
"match_value": "claude-opus-4-7",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-opus-4-8",
"match_kind": "prefix",
"match_value": "claude-opus-4-8",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-opus-5",
"match_kind": "prefix",
"match_value": "claude-opus-5",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-sonnet-5",
"match_kind": "prefix",
"match_value": "claude-sonnet-5",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-fable-5",
"match_kind": "prefix",
"match_value": "claude-fable-5",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-xhigh-mythos-5",
"match_kind": "prefix",
"match_value": "claude-mythos-5",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-no-xhigh-opus-4-6",
"match_kind": "prefix",
"match_value": "claude-opus-4-6",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-no-xhigh-sonnet-4-6",
"match_kind": "prefix",
"match_value": "claude-sonnet-4-6",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "anthropic-adaptive-no-xhigh-mythos-preview",
"match_kind": "prefix",
"match_value": "claude-mythos-preview",
"providers": [
"anthropic",
"databricks_v2"
],
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
},
{
"id": "openai-gpt5-pro",
"match_kind": "prefix",
"match_value": "gpt-5-pro",
"match_aliases": [
"gpt5-pro"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"high"
],
"default_effort": "high",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "openai-gpt5-6",
"match_kind": "prefix",
"match_value": "gpt-5.6",
"match_aliases": [
"gpt5.6",
"gpt-5-6",
"gpt5-6"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "openai-gpt5-5",
"match_kind": "prefix",
"match_value": "gpt-5.5",
"match_aliases": [
"gpt5.5",
"gpt-5-5",
"gpt5-5"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "openai-gpt5-4",
"match_kind": "prefix",
"match_value": "gpt-5.4",
"match_aliases": [
"gpt5.4",
"gpt-5-4",
"gpt5-4"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "openai-gpt5-1",
"match_kind": "prefix",
"match_value": "gpt-5.1",
"match_aliases": [
"gpt5.1",
"gpt-5-1",
"gpt5-1"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high"
],
"default_effort": "none",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "openai-gpt5-base",
"match_kind": "prefix",
"match_value": "gpt-5",
"match_aliases": [
"gpt5"
],
"providers": [
"openai",
"databricks",
"databricks_v2"
],
"thinking_mode": "none",
"supported_efforts": [
"minimal",
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard"
},
{
"id": "dbv2-claude-prefix",
"_comment": "DBv2-only broad Claude prefix. Replaces the routing role of the dropped dbv2-claude-code-names-segment 'claude' token: uncurated databricks-claude-* endpoints still route via Anthropic Messages with conservative (omit-fields) effort classification. Bare code-name segments without a leading 'claude-' (e.g. opus-5, goose-opus-5) are deliberately dropped and fall through to the databricks_v2 concrete-unknown fallback (mlflow-chat) — segment-anywhere matching is not expressible as a prefix.",
"match_kind": "prefix",
"match_value": "claude",
"providers": [
"databricks_v2"
],
"thinking_mode": "omit-fields",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none"
}
],
"_comment_databricks_v2_known_models": "Curated fallback catalog for Databricks v2: the model IDs offered when an authenticated api/ai-gateway/v2/endpoints call succeeds but returns an empty list (see catalog.rs authenticated_empty_v2_catalog). Both IDs also have full exact_records, so once offered they classify precisely. Uniqueness enforced by validate_manifest().",
"databricks_v2_known_models": [
"databricks-gpt-5-5",
"databricks-claude-opus-4-7"
],
"exact_records": [
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-4-mini",
"registry_label": "GPT-5.4 mini",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-4; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high (family rule adds none+xhigh — adopt provider-advertised)",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev advertises low|medium|high. Family rule (gpt5-4) adds none+xhigh. Provider-advertised wins per plan F1 policy.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0): providers.databricks.models[\"databricks-gpt-5-4-mini\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-4-nano",
"registry_label": "GPT-5.4 nano",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-4; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev advertises low|medium|high. Same as gpt-5-4-mini. Adopt.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0): providers.databricks.models[\"databricks-gpt-5-4-nano\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-6-sol",
"registry_label": "GPT-5.6 Sol",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-6; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high|max (family rule adds none+xhigh — provider-advertised wins per plan F1)",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev advertises [low, medium, high, max]. Family rule (gpt5-6) has none+xhigh+max; sol endpoint does not expose none or xhigh. Provider-advertised wins.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0): providers.databricks.models[\"databricks-gpt-5-6-sol\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\",\"max\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-5",
"registry_label": "GPT-5.5",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-5; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high (family rule adds none+xhigh — provider-advertised wins per plan F1)",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev (pinned payload) advertises [low, medium, high]. Family rule (gpt5-5) has none+xhigh; this Databricks endpoint does not expose none or xhigh. Provider-advertised wins.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0): providers.databricks.models[\"databricks-gpt-5-5\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-claude-opus-4-7",
"registry_label": "Claude Opus 4.7",
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none",
"_provenance": "all axes materialized from family:anthropic-adaptive-xhigh-opus-4-7",
"source": "DATABRICKS_V2_KNOWN_MODELS; family rule anthropic-adaptive-xhigh-opus-4-7 applies",
"_reconciliation": "no-effort-divergence",
"_reconciliation_note": "models.dev advertises reasoning_options=[{\"type\":\"budget_tokens\",\"min\":1024}]. This is a different capability axis (extended thinking token budget), not an effort-level selector. No effort divergence to reconcile — efforts for this model come from the anthropic family rule (anthropic-adaptive-xhigh-opus-4-7).",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0): providers.databricks.models[\"databricks-claude-opus-4-7\"].reasoning_options=[{\"type\":\"budget_tokens\",\"min\":1024}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-6-luna",
"registry_label": "GPT-5.6 Luna",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-6; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev advertises [low, medium, high]. Family rule (gpt5-6) has none+xhigh+max; luna endpoint does not expose none, xhigh, or max. Provider-advertised wins.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-08-04): providers.databricks.models[\"databricks-gpt-5-6-luna\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-6-terra",
"registry_label": "GPT-5.6 Terra",
"thinking_mode": "none",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "openai-responses",
"normalization_policy": "openai-standard",
"_provenance": "thinking_mode+default_effort+databricks_v2_wire_route+normalization_policy: family:openai-gpt5-6; supported_efforts: curated override",
"source": "models.dev reasoning_options: low|medium|high",
"_reconciliation": "adopt",
"_reconciliation_note": "models.dev advertises [low, medium, high]. Family rule (gpt5-6) has none+xhigh+max; terra endpoint does not expose none, xhigh, or max. Provider-advertised wins.",
"_reconciliation_doc": "https://models.dev/api.json (retrieved 2026-08-04): providers.databricks.models[\"databricks-gpt-5-6-terra\"].reasoning_options=[{\"type\":\"effort\",\"values\":[\"low\",\"medium\",\"high\"]}]"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-claude-haiku-4-5",
"registry_label": "Claude Haiku 4.5 (latest)",
"thinking_mode": "omit-fields",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none",
"_provenance": "all axes materialized from family:dbv2-claude-prefix",
"_source": "registry_labels"
},
{
"provider": "databricks_v2",
"raw_model_id": "databricks-claude-opus-4-1",
"registry_label": "Claude Opus 4.1 (latest)",
"thinking_mode": "omit-fields",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "anthropic-messages",
"normalization_policy": "none",
"_provenance": "all axes materialized from family:dbv2-claude-prefix",
"_source": "registry_labels"
},
{
"provider": "databricks_v2",
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}
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