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Will PflegerGitHubnpub1mn7jgtj4w2pd0g0zeuhxsa6jy6p0rewxz4kujt98my82ahfmp72sxjexk7npub1g8493u0xfsjrvflg4n08ezd7vec99mnwzlv0qgwpr9d7gvjwhuzqx59rhw
 cc00060ea3 feat(agent): Phase 2 — wire Rust and TS consumers to generated model-capabilities module (#3958) 
## What

Phase 2 consumer cutover targeting the
`duncan/databricks-model-label-registry` umbrella branch. Wires
`crates/**` and `desktop/**` consumers to the generated capability
module introduced in Phase 1 (#3821), while keeping old and new paths
both live for differential testing. Phase 3 removes the old paths.

## Commits (boundary-separated)

### feat(agent): Phase 2a — wire Rust consumers to generated capability
module (`crates/**`, `scripts/**`)

- `catalog.rs`: `DATABRICKS_V2_KNOWN_MODELS` re-exported from the
generated module — single source of truth.
- `llm.rs`: `databricks_v2_route_for_model` delegates to
`resolve_model_capabilities("databricks_v2", model)`. Old segment-based
classifier preserved as `#[cfg(test)] _old_*` for the differential
harness. New `databricks_v2_route_differential_old_vs_new` test confirms
100% agreement on all 20 route vectors.
- `config.rs`: new `effort_table_fixture_differential_old_vs_new` test
runs `resolve_model_capabilities` over the 36-entry
`effortTable.fixture.json` and asserts old/new agree modulo a doc-cited
allowlist (4 F1 corrections).
- `scripts/run-differential.mjs`: JS differential harness over
effortTable fixture + normative corpus + catalog-sample fixture. 85
checks, 0 unexpected divergences (5 allowlisted: 4 F1 corrections +
goose-opus-5 anthropic route correction).
- `scripts/MODELS_DEV_RECONCILIATION.md`: deferred MINOR from Phase 1 —
8 trailing-double-space line breaks replaced with `<br>`.

### feat(desktop): Phase 2b — cut TS consumers to generated
model-capabilities module (`desktop/**`)

- `buzzAgentConfig.ts`: adds
`getProviderEffortConfigFromManifest(provider, model?)` — thin wrapper
over `resolveModelCapabilities()` from `modelCapabilities.ts`. Maps
`supportedEfforts → validValues` and `defaultEffort → defaultValue`
(null preserved for manual-budget/Inherit). Old
`getProviderEffortConfig()` and all hand-tables stay live for the
differential harness; Phase 3 retires them.
- `formatAgentModelLabel.ts`: registry-label lookup re-pointed from
hand-maintained `databricksModelNames.ts` import to generated
`DATABRICKS_MODEL_NAMES` exported from `modelCapabilities.ts`. Same Map
shape, identical contents, behavior unchanged.

### fix(scripts): add ts-esm-loader and fix allowlist coverage in
run-differential (`scripts/**`)

- `scripts/ts-esm-loader.mjs`: minimal ESM custom loader that resolves
extensionless relative TS imports. Required because Phase 2b's
`buzzAgentConfig.ts` imports `modelCapabilities` without `.ts` extension
— which Node's `--experimental-strip-types` runner cannot resolve
without a hook.
- `scripts/run-differential.mjs`: shebang updated to self-bootstrap with
the loader; fixes the `totalAllowlisted` counter (was declared but never
incremented — always printed `0 allowlisted`). Replaced with per-axis
hit tracking: reports exercised slot count (`N/total`) in summary; fails
with `STALE_ALLOWLIST` if any declared entry fires zero divergences,
preventing stale entries from silently masking future regressions.

## Verification

- `cargo test -p buzz-agent --lib`: 426/426
- Corpus: 45/45 · schema-negative: 24/24 · `--check` byte-clean
- Differential: 85 checks, 0 unexpected divergences, 6/6 allowlist slots
exercised
- Desktop: 3847/3847 · typecheck clean · biome clean
- Mobile: 1019 pass, 1 skipped — same 5 flaky tests in
`mobile/test/features/channels/` that reproduce at the umbrella base;
zero mobile files in this branch range
- `git diff --check`: clean

## What Remains (Phase 3)

Remove old hand-maintained paths: `_old_*` functions in
`llm.rs`/`config.rs`, old `getProviderEffortConfig` tables in
`buzzAgentConfig.ts`, old `databricksModelNames.ts` import in
`formatAgentModelLabel.ts`, old `databricks_model_names.rs` module.

---------

Signed-off-by: Will Pfleger <pfleger.will@gmail.com>
Signed-off-by: npub1g8493u0xfsjrvflg4n08ezd7vec99mnwzlv0qgwpr9d7gvjwhuzqx59rhw <41ea58f1e64c243627e8acde7c89be667052ee6e17d8f021c1195be4324ebf04@buzz.block.builderlab.xyz>
Signed-off-by: npub1mn7jgtj4w2pd0g0zeuhxsa6jy6p0rewxz4kujt98my82ahfmp72sxjexk7 <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz>
Co-authored-by: npub1mn7jgtj4w2pd0g0zeuhxsa6jy6p0rewxz4kujt98my82ahfmp72sxjexk7 <dcfd242e557282d7a1e2cf2e6877522682f1e5c6156dc92ca7d90eaedd3b0f95@buzz.block.builderlab.xyz>
Co-authored-by: npub1g8493u0xfsjrvflg4n08ezd7vec99mnwzlv0qgwpr9d7gvjwhuzqx59rhw <41ea58f1e64c243627e8acde7c89be667052ee6e17d8f021c1195be4324ebf04@buzz.block.builderlab.xyz>
2026-08-03 14:58:34 -04:00

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[
{
"_group": "Anthropic exact family rules",
"_note": "All require thinking_mode=manual-budget or adaptive, correct supported_efforts, databricks_v2_wire_route=not-applicable"
},
{
"id": "anthropic-claude-3-family",
"provider": "anthropic",
"raw_model_id": "claude-3-7-sonnet-20250219",
"expect": {
"thinking_mode": "manual-budget",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": null,
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-opus-4-5",
"provider": "anthropic",
"raw_model_id": "claude-opus-4-5",
"expect": {
"thinking_mode": "manual-budget",
"supported_efforts": [
"low",
"medium",
"high"
],
"default_effort": null,
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-opus-4-7",
"provider": "anthropic",
"raw_model_id": "claude-opus-4-7",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-opus-4-8",
"provider": "anthropic",
"raw_model_id": "claude-opus-4-8",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-sonnet-5",
"provider": "anthropic",
"raw_model_id": "claude-sonnet-5-20260101",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-fable-5",
"provider": "anthropic",
"raw_model_id": "claude-fable-5",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-mythos-5",
"provider": "anthropic",
"raw_model_id": "claude-mythos-5",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-opus-4-6",
"provider": "anthropic",
"raw_model_id": "claude-opus-4-6",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-sonnet-4-6",
"provider": "anthropic",
"raw_model_id": "claude-sonnet-4-6",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-claude-mythos-preview",
"provider": "anthropic",
"raw_model_id": "claude-mythos-preview",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"_group": "Anthropic unknowns and fallbacks"
},
{
"id": "anthropic-unknown-blank",
"provider": "anthropic",
"raw_model_id": "",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "anthropic-unknown-concrete",
"provider": "anthropic",
"raw_model_id": "claude-ultra-9000",
"expect": {
"thinking_mode": "omit-fields",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"_group": "OpenAI exact family rules"
},
{
"id": "openai-gpt5-pro",
"provider": "openai",
"raw_model_id": "gpt-5-pro",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"high"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5.6",
"provider": "openai",
"raw_model_id": "gpt-5.6",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5-6-dashed",
"provider": "openai",
"raw_model_id": "gpt-5-6",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5.5",
"provider": "openai",
"raw_model_id": "gpt-5.5",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5.4",
"provider": "openai",
"raw_model_id": "gpt-5.4",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5.1",
"provider": "openai",
"raw_model_id": "gpt-5.1",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high"
],
"default_effort": "none",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-gpt5-base",
"provider": "openai",
"raw_model_id": "gpt-5",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"minimal",
"low",
"medium",
"high"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"_group": "OpenAI adversarial \u2014 gpt5 boundary-aware matching (ported from config.rs tests)"
},
{
"id": "openai-gpt5-1106-should-not-match-base",
"provider": "openai",
"raw_model_id": "gpt-5-1106",
"_note": "gpt-5-1106: '-1106' is a 4-digit date segment, NOT a short version (gpt5-base rejects only 1-3 digit suffixes). Must match base table [minimal,low,medium,high], NOT fall through to unknown.",
"expect": {
"supported_efforts": [
"minimal",
"low",
"medium",
"high"
]
}
},
{
"id": "openai-gpt5-4o-matches-base",
"provider": "openai",
"raw_model_id": "gpt-5-4o",
"_note": "gpt-5-4o: '4o' after '-' is NOT a short numeric suffix (it contains a letter). Must match gpt5-base. Crucially, must NOT match gpt-5.4 (the '4' is followed by 'o', not boundary char).",
"expect": {
"supported_efforts": [
"minimal",
"low",
"medium",
"high"
]
}
},
{
"id": "openai-gpt5-pro-not-matching-gpt5-base",
"provider": "openai",
"raw_model_id": "gpt-5-pro",
"_note": "gpt-5-pro should hit gpt5-pro rule (priority 20), NOT gpt-5 base.",
"expect": {
"supported_efforts": [
"high"
],
"default_effort": "high"
}
},
{
"id": "openai-multi-digit-version-gpt5-10",
"provider": "openai",
"raw_model_id": "gpt-5-10",
"_note": "gpt-5-10 \u2014 two-digit suffix prevents gpt5-base match. Falls through to unknown.",
"expect": {
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
{
"id": "openai-gpt5-date-suffix",
"provider": "openai",
"raw_model_id": "gpt-5-20260101",
"_note": "gpt-5-20260101 \u2014 long numeric suffix after base: '20260101' is 8 digits, beyond 1-3 digit reject, should hit gpt5-base.",
"expect": {
"supported_efforts": [
"minimal",
"low",
"medium",
"high"
]
}
},
{
"_group": "DatabricksV2 \u2014 segment-based routing (ported from llm.rs tests)"
},
{
"id": "dbv2-gpt5-route-openai-responses",
"provider": "databricks_v2",
"raw_model_id": "gpt-5.5",
"expect": {
"databricks_v2_wire_route": "openai-responses",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
]
}
},
{
"id": "dbv2-claude-route-anthropic-messages",
"provider": "databricks_v2",
"raw_model_id": "claude-opus-4-7",
"expect": {
"databricks_v2_wire_route": "anthropic-messages",
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
]
}
},
{
"id": "dbv2-claude-prefix-stripped",
"provider": "databricks_v2",
"raw_model_id": "databricks-claude-opus-4-7",
"_note": "databricks- prefix stripped \u2192 claude-opus-4-7 \u2192 Anthropic route",
"expect": {
"databricks_v2_wire_route": "anthropic-messages",
"thinking_mode": "adaptive"
}
},
{
"id": "dbv2-goose-claude-prefix-stripped",
"provider": "databricks_v2",
"raw_model_id": "goose-claude-fable-5",
"_note": "goose- prefix stripped \u2192 claude-fable-5 \u2192 Anthropic adaptive+xhigh",
"expect": {
"databricks_v2_wire_route": "anthropic-messages",
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
]
}
},
{
"id": "dbv2-team-prefix-stripped",
"provider": "databricks_v2",
"raw_model_id": "team-x-claude-opus-4-7",
"_note": "team-x- prefix stripped \u2192 claude-opus-4-7 \u2192 Anthropic route",
"expect": {
"databricks_v2_wire_route": "anthropic-messages",
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
]
}
},
{
"id": "dbv2-consolidated-llama-not-sol",
"provider": "databricks_v2",
"raw_model_id": "consolidated-llama",
"_note": "segment test: 'sol' is a SUBSTRING of 'consolidated' \u2014 must NOT match DATABRICKS_V2_OPENAI_CODE_NAMES 'sol'. Falls through to mlflow-chat.",
"expect": {
"databricks_v2_wire_route": "mlflow-chat"
}
},
{
"id": "dbv2-terraform-coder-not-terra",
"provider": "databricks_v2",
"raw_model_id": "terraform-coder",
"_note": "segment test: 'terra' is a prefix of 'terraform' \u2014 must NOT match 'terra' code name. Falls through to mlflow-chat.",
"expect": {
"databricks_v2_wire_route": "mlflow-chat"
}
},
{
"id": "dbv2-corpus-reranker-not-opus",
"provider": "databricks_v2",
"raw_model_id": "corpus-reranker",
"_note": "segment test: 'opus' is NOT a segment of corpus-reranker (segments: corpus, reranker). mlflow-chat.",
"expect": {
"databricks_v2_wire_route": "mlflow-chat"
}
},
{
"id": "dbv2-octopus-model-not-opus",
"provider": "databricks_v2",
"raw_model_id": "octopus-model",
"_note": "segment test: 'opus' is not a segment of octopus-model (segments: octopus, model). mlflow-chat.",
"expect": {
"databricks_v2_wire_route": "mlflow-chat"
}
},
{
"id": "dbv2-goose-opus-5-is-anthropic",
"provider": "databricks_v2",
"raw_model_id": "goose-opus-5",
"_note": "'opus' IS a named segment of goose-opus-5 (segments: goose, opus, 5). Routes Anthropic. Key test: agrees with llm.rs but disagreed with old config.rs.",
"expect": {
"databricks_v2_wire_route": "anthropic-messages"
}
},
{
"_group": "P2-A resolver-contract vectors (plan v4 \u00a7Resolver contract)"
},
{
"id": "resolver-exact-raw-id-hit",
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-4-mini",
"_note": "Exact record exists. Must return exact Databricks override: low|medium|high (not family's none+xhigh).",
"expect": {
"supported_efforts": [
"low",
"medium",
"high"
]
}
},
{
"id": "resolver-prefixed-alias-misses-exact",
"provider": "databricks_v2",
"raw_model_id": "team-x-databricks-gpt-5-4-mini",
"_note": "Prefixed alias of an exact ID. Raw exact lookup MUST miss (key is team-x-..., not databricks-...). Falls to family rules (gpt5-4 family \u2192 none+xhigh).",
"expect": {
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
]
}
},
{
"id": "resolver-cross-provider-misses-exact",
"provider": "openai",
"raw_model_id": "databricks-gpt-5-4-mini",
"_note": "Same raw ID but different provider. Exact record is databricks_v2-scoped; must miss. Falls to openai family rules.",
"expect": {
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "resolver-exact-efforts-plus-family-route",
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-6-sol",
"_note": "Exact record with efforts from models.dev (low|medium|high|max \u2014 provider-advertised, no none/xhigh). Route materialized from gpt5-6 family rule (openai-responses). Must return both, complete.",
"expect": {
"supported_efforts": [
"low",
"medium",
"high",
"max"
],
"databricks_v2_wire_route": "openai-responses"
}
},
{
"id": "dbv2-gpt5-5-exact-override",
"provider": "databricks_v2",
"raw_model_id": "databricks-gpt-5-5",
"_note": "Exact record adopts models.dev advertised set [low,medium,high]. Family rule (gpt5-5) has none+xhigh \u2014 provider-advertised wins per plan F1.",
"expect": {
"supported_efforts": [
"low",
"medium",
"high"
],
"databricks_v2_wire_route": "openai-responses"
}
},
{
"_group": "Blank vs concrete-unknown per provider (P2-B fallback vectors)"
},
{
"id": "dbv2-blank-all7-route-unknown",
"provider": "databricks_v2",
"raw_model_id": "",
"_note": "DBv2 blank: route-unknown, all 7 efforts, default medium.",
"expect": {
"databricks_v2_wire_route": "route-unknown",
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "medium"
}
},
{
"id": "dbv2-concrete-unknown-mlflow-no-max",
"provider": "databricks_v2",
"raw_model_id": "some-unknown-model-xyz",
"_note": "DBv2 concrete-unknown: mlflow-chat, all-except-max (6 efforts).",
"expect": {
"databricks_v2_wire_route": "mlflow-chat",
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
{
"id": "openai-blank-all-except-max",
"provider": "openai",
"raw_model_id": "",
"_note": "OpenAI blank: not-applicable route, all-except-max, medium default.",
"expect": {
"databricks_v2_wire_route": "not-applicable",
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium"
}
},
{
"id": "openai-concrete-unknown-all-except-max",
"provider": "openai",
"raw_model_id": "gpt-4o",
"_note": "OpenAI concrete unknown (unverified family): not-applicable route, all-except-max, medium default.",
"expect": {
"databricks_v2_wire_route": "not-applicable",
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium"
}
},
{
"id": "anthropic-blank-adaptive-full",
"provider": "anthropic",
"raw_model_id": "",
"_note": "Anthropic blank: assume adaptive with full support (incl. xhigh).",
"expect": {
"thinking_mode": "adaptive",
"supported_efforts": [
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "high"
}
},
{
"id": "anthropic-concrete-unknown-omit-fields",
"provider": "anthropic",
"raw_model_id": "claude-ultra-9000",
"_note": "Anthropic concrete-unknown: omit-fields (never guess request shape).",
"expect": {
"thinking_mode": "omit-fields"
}
},
{
"_group": "Legacy Databricks provider (P3 effort rules)"
},
{
"id": "databricks-gpt5-pro-effort",
"provider": "databricks",
"raw_model_id": "databricks-gpt-5-pro",
"_note": "Legacy databricks GPT-5 Pro: same effort set as openai/gpt-5-pro \u2014 only [high], default high. Wire route not-applicable.",
"expect": {
"databricks_v2_wire_route": "not-applicable",
"supported_efforts": [
"high"
],
"default_effort": "high"
}
},
{
"id": "databricks-gpt5-6-effort",
"provider": "databricks",
"raw_model_id": "databricks-gpt-5.6",
"_note": "Legacy databricks GPT-5.6: same effort set as openai/gpt-5.6 \u2014 [none,low,medium,high,xhigh,max], default medium. Wire route not-applicable.",
"expect": {
"databricks_v2_wire_route": "not-applicable",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh",
"max"
],
"default_effort": "medium"
}
},
{
"id": "databricks-gpt5-1-effort",
"provider": "databricks",
"raw_model_id": "databricks-gpt-5.1",
"_note": "Legacy databricks GPT-5.1: same effort set as openai/gpt-5.1 \u2014 [none,low,medium,high], default none. Wire route not-applicable.",
"expect": {
"databricks_v2_wire_route": "not-applicable",
"supported_efforts": [
"none",
"low",
"medium",
"high"
],
"default_effort": "none"
}
},
{
"_group": "openai-compat alias canonicalization (Thufir P3 corrective action 1)",
"_note": "Rust normalizes openai-compat \u2192 Provider::OpenAi before reaching normalize_effort_for_provider. TS PROVIDER_ALIASES must match so the UI effort table equals the Rust request behavior. Interpreters must canonicalize openai-compat \u2192 openai before resolving; the expected values are identical to the corresponding openai vectors."
},
{
"id": "openai-compat-gpt-5-pro",
"provider": "openai-compat",
"raw_model_id": "gpt-5-pro",
"_note": "openai-compat/gpt-5-pro must resolve identically to openai/gpt-5-pro: [high] only, default high.",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"high"
],
"default_effort": "high",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-compat-gpt-5-5",
"provider": "openai-compat",
"raw_model_id": "gpt-5.5",
"_note": "openai-compat/gpt-5.5 must resolve identically to openai/gpt-5.5: [none,low,medium,high,xhigh], default medium.",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
},
{
"id": "openai-compat-empty-model",
"provider": "openai-compat",
"raw_model_id": "",
"_note": "openai-compat with blank model: resolves identically to openai unknown \u2014 all-except-max, default medium.",
"expect": {
"thinking_mode": "none",
"supported_efforts": [
"none",
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"default_effort": "medium",
"databricks_v2_wire_route": "not-applicable"
}
}
]
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