mirror of
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cc00060ea3
## 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>
869 lines
25 KiB
JSON
869 lines
25 KiB
JSON
{
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"$schema": "./model-capabilities-schema.json",
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"_comment": "Hand-curated model capability manifest. Edit here; run scripts/generate-model-capabilities.mjs to regenerate artifacts.",
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"_generated_by": "scripts/generate-model-capabilities.mjs",
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"_sources": {
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"models_dev": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0)",
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"anthropic_thinking": "https://platform.claude.com/docs/en/build-with-claude/extended-thinking (July 2025)",
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"anthropic_effort": "https://platform.claude.com/docs/en/build-with-claude/effort (July 2025)",
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"openai_reasoning": "https://platform.openai.com/docs/guides/reasoning (July 2025)",
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"goose_known_models": "goose revision 6789d4af (crates/goose-providers/src/databricks_v2.rs:41-42) \u2014 two IDs: databricks-gpt-5-5, databricks-claude-opus-4-7"
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},
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"family_tokens": [
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"claude-",
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"gpt-"
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],
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"family_rules": [
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{
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"id": "anthropic-manual-budget-claude3",
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"match_kind": "prefix",
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"match_value": "claude-3",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "manual-budget",
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"supported_efforts": [
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"low",
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"medium",
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"high"
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],
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"default_effort": null,
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none"
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},
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{
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"id": "anthropic-manual-budget-opus-4-5",
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"match_kind": "exact",
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"match_value": "claude-opus-4-5",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "manual-budget",
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"supported_efforts": [
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"low",
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"medium",
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"high"
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],
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"default_effort": null,
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Opus 4.5"
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},
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{
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"id": "anthropic-adaptive-xhigh-opus-4-7",
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"match_kind": "prefix",
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"match_value": "claude-opus-4-7",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Opus 4.7"
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},
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{
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"id": "anthropic-adaptive-xhigh-opus-4-8",
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"match_kind": "prefix",
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"match_value": "claude-opus-4-8",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Opus 4.8"
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},
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{
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"id": "anthropic-adaptive-xhigh-opus-5",
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"match_kind": "prefix",
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"match_value": "claude-opus-5",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Opus 5"
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},
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{
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"id": "anthropic-adaptive-xhigh-sonnet-5",
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"match_kind": "prefix",
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"match_value": "claude-sonnet-5",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Sonnet 5"
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},
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{
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"id": "anthropic-adaptive-xhigh-fable-5",
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"match_kind": "prefix",
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"match_value": "claude-fable-5",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Fable 5"
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},
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{
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"id": "anthropic-adaptive-xhigh-mythos-5",
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"match_kind": "prefix",
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"match_value": "claude-mythos-5",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Mythos 5"
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},
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{
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"id": "anthropic-adaptive-no-xhigh-opus-4-6",
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"match_kind": "prefix",
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"match_value": "claude-opus-4-6",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Opus 4.6"
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},
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{
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"id": "anthropic-adaptive-no-xhigh-sonnet-4-6",
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"match_kind": "prefix",
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"match_value": "claude-sonnet-4-6",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Sonnet 4.6"
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},
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{
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"id": "anthropic-adaptive-no-xhigh-mythos-preview",
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"match_kind": "prefix",
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"match_value": "claude-mythos-preview",
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"providers": [
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"anthropic",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "adaptive",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"max"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "anthropic-messages",
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"normalization_policy": "none",
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"registry_label": "Claude Mythos Preview"
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},
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{
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"id": "openai-gpt5-pro",
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"match_kind": "gpt5-token",
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"match_value": "gpt-5-pro",
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"match_aliases": [
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"gpt5-pro"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 20,
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"thinking_mode": "none",
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"supported_efforts": [
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"high"
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],
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"default_effort": "high",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5 Pro"
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},
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{
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"id": "openai-gpt5-6",
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"match_kind": "gpt5-token",
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"match_value": "gpt-5.6",
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"match_aliases": [
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"gpt5.6",
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"gpt-5-6",
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"gpt5-6"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 15,
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"thinking_mode": "none",
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"supported_efforts": [
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"none",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "medium",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5.6"
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},
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{
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"id": "openai-gpt5-5",
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"match_kind": "gpt5-token",
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"match_value": "gpt-5.5",
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"match_aliases": [
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"gpt5.5",
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"gpt-5-5",
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"gpt5-5"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 15,
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"thinking_mode": "none",
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"supported_efforts": [
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"none",
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"low",
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"medium",
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"high",
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"xhigh"
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],
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"default_effort": "medium",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5.5"
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},
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{
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"id": "openai-gpt5-4",
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"match_kind": "gpt5-token",
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"match_value": "gpt-5.4",
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"match_aliases": [
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"gpt5.4",
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"gpt-5-4",
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"gpt5-4"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 15,
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"thinking_mode": "none",
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"supported_efforts": [
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"none",
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"low",
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"medium",
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"high",
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"xhigh"
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],
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"default_effort": "medium",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5.4"
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},
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{
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"id": "openai-gpt5-1",
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"match_kind": "gpt5-token",
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"match_value": "gpt-5.1",
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"match_aliases": [
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"gpt5.1",
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"gpt-5-1",
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"gpt5-1"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 15,
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"thinking_mode": "none",
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"supported_efforts": [
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"none",
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"low",
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"medium",
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"high"
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],
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"default_effort": "none",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5.1"
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},
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{
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"id": "openai-gpt5-base",
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"match_kind": "gpt5-base",
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"match_value": "gpt-5",
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"match_aliases": [
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"gpt5"
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],
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"providers": [
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"openai",
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"databricks",
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"databricks_v2"
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],
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"match_priority": 10,
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"thinking_mode": "none",
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"supported_efforts": [
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"minimal",
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"low",
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"medium",
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"high"
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],
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"default_effort": "medium",
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"databricks_v2_wire_route": "openai-responses",
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"normalization_policy": "openai-standard",
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"registry_label": "GPT-5"
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},
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{
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"id": "dbv2-claude-code-names-segment",
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"_comment": "DBv2-only rule: endpoint names containing a Claude code-name segment (opus, sonnet, haiku, mythos, fable, claude) route via Anthropic Messages. This matches goose-opus-5 (segments: goose,opus,5) etc. Effort classification uses conservative defaults because prefix-stripped alias ('opus-5') is not a recognized Claude family.",
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"match_kind": "segment",
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"match_value": "claude",
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"match_aliases": [
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"opus",
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"sonnet",
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"haiku",
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"mythos",
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"fable"
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],
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"providers": [
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"databricks_v2"
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],
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"match_priority": 5,
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"thinking_mode": "omit-fields",
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"supported_efforts": [
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"default_effort": "high",
|
|
"databricks_v2_wire_route": "anthropic-messages",
|
|
"normalization_policy": "none"
|
|
},
|
|
{
|
|
"id": "dbv2-gpt-code-names-segment",
|
|
"_comment": "DBv2-only rule: endpoint names containing a GPT segment prefix (gpt*) route via OpenAI Responses. Handles 'gpt', 'gpt5', 'gpt-5' segments. Priority < individual gpt5 family rules so explicit families take precedence.",
|
|
"match_kind": "segment-prefix",
|
|
"match_value": "gpt",
|
|
"providers": [
|
|
"databricks_v2"
|
|
],
|
|
"match_priority": 5,
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"databricks_v2_wire_route": "openai-responses",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
},
|
|
{
|
|
"id": "dbv2-sol-luna-terra-segment",
|
|
"_comment": "DBv2-only rule: sol/luna/terra are OpenAI code names. Route via OpenAI Responses. Must use segment match to avoid matching substrings (consolidated-llama has 'sol' but not as a segment).",
|
|
"match_kind": "segment",
|
|
"match_value": "sol",
|
|
"match_aliases": [
|
|
"luna",
|
|
"terra"
|
|
],
|
|
"providers": [
|
|
"databricks_v2"
|
|
],
|
|
"match_priority": 5,
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"databricks_v2_wire_route": "openai-responses",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
}
|
|
],
|
|
"_comment_registry_labels": "All 30 Databricks v2 endpoint-ID to display-name pairs. Represented as [{id,label}] array so duplicate-ID detection is structurally possible. Generated into DATABRICKS_MODEL_NAMES in both Rust and TS.",
|
|
"registry_labels": [
|
|
{
|
|
"id": "databricks-claude-haiku-4-5",
|
|
"label": "Claude Haiku 4.5 (latest)"
|
|
},
|
|
{
|
|
"id": "databricks-claude-opus-4-1",
|
|
"label": "Claude Opus 4.1 (latest)"
|
|
},
|
|
{
|
|
"id": "databricks-claude-opus-4-5",
|
|
"label": "Claude Opus 4.5 (latest)"
|
|
},
|
|
{
|
|
"id": "databricks-claude-opus-4-6",
|
|
"label": "Claude Opus 4.6"
|
|
},
|
|
{
|
|
"id": "databricks-claude-opus-4-7",
|
|
"label": "Claude Opus 4.7"
|
|
},
|
|
{
|
|
"id": "databricks-claude-sonnet-4",
|
|
"label": "Claude Sonnet 4.5"
|
|
},
|
|
{
|
|
"id": "databricks-claude-sonnet-4-5",
|
|
"label": "Claude Sonnet 4.5 (latest)"
|
|
},
|
|
{
|
|
"id": "databricks-claude-sonnet-4-6",
|
|
"label": "Claude Sonnet 4.6"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-2-5-flash",
|
|
"label": "Gemini 2.5 Flash"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-2-5-pro",
|
|
"label": "Gemini 2.5 Pro"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-3-1-flash-lite",
|
|
"label": "Gemini 3.1 Flash Lite Preview"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-3-1-pro",
|
|
"label": "Gemini 3.1 Pro Preview Custom Tools"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-3-flash",
|
|
"label": "Gemini 3 Flash Preview"
|
|
},
|
|
{
|
|
"id": "databricks-gemini-3-pro",
|
|
"label": "Gemini 3 Pro Preview"
|
|
},
|
|
{
|
|
"id": "databricks-glm-5-2",
|
|
"label": "GLM-5.2"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5",
|
|
"label": "GPT-5"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-1",
|
|
"label": "GPT-5.1"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-2",
|
|
"label": "GPT-5.2"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-4",
|
|
"label": "GPT-5.4"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-4-mini",
|
|
"label": "GPT-5.4 mini"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-4-nano",
|
|
"label": "GPT-5.4 nano"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-5",
|
|
"label": "GPT-5.5"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-6-luna",
|
|
"label": "GPT-5.6 Luna"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-6-sol",
|
|
"label": "GPT-5.6 Sol"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-6-terra",
|
|
"label": "GPT-5.6 Terra"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-mini",
|
|
"label": "GPT-5 Mini"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-5-nano",
|
|
"label": "GPT-5 Nano"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-oss-120b",
|
|
"label": "GPT OSS 120B"
|
|
},
|
|
{
|
|
"id": "databricks-gpt-oss-20b",
|
|
"label": "GPT OSS 20B"
|
|
},
|
|
{
|
|
"id": "databricks-kimi-k2-7-code",
|
|
"label": "Kimi K2.7 Code"
|
|
}
|
|
],
|
|
"_comment_databricks_v2_known_models": "Authoritative list of Databricks v2 known model IDs. Mirrors goose DATABRICKS_V2_KNOWN_MODELS at revision 6789d4af (crates/goose-providers/src/databricks_v2.rs:41-42). Generated into DATABRICKS_V2_KNOWN_MODELS in both Rust and TS. Uniqueness enforced by the generator. Opt-in drift check: node scripts/generate-model-capabilities.mjs --check-goose",
|
|
"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",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high"
|
|
],
|
|
"source": "models.dev reasoning_options: low|medium|high (family rule adds none+xhigh \u2014 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",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high"
|
|
],
|
|
"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",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"max"
|
|
],
|
|
"source": "models.dev reasoning_options: low|medium|high|max (family rule adds none+xhigh \u2014 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",
|
|
"source": "models.dev reasoning_options: low|medium|high (family rule adds none+xhigh \u2014 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.",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high"
|
|
],
|
|
"_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",
|
|
"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 \u2014 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_fallbacks": {
|
|
"anthropic": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "adaptive",
|
|
"supported_efforts": [
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "high",
|
|
"normalization_policy": "none"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "omit-fields",
|
|
"supported_efforts": [
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "high",
|
|
"normalization_policy": "none"
|
|
}
|
|
},
|
|
"openai": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
}
|
|
},
|
|
"databricks_v2": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "route-unknown",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "mlflow-chat",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
}
|
|
},
|
|
"databricks": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "openai-clamp-max-to-xhigh"
|
|
}
|
|
},
|
|
"openrouter": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "none"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "none"
|
|
}
|
|
},
|
|
"_default": {
|
|
"blank": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "none"
|
|
},
|
|
"concrete_unknown": {
|
|
"databricks_v2_wire_route": "not-applicable",
|
|
"thinking_mode": "none",
|
|
"supported_efforts": [
|
|
"none",
|
|
"minimal",
|
|
"low",
|
|
"medium",
|
|
"high",
|
|
"xhigh",
|
|
"max"
|
|
],
|
|
"default_effort": "medium",
|
|
"normalization_policy": "none"
|
|
}
|
|
}
|
|
}
|
|
}
|