mirror of
https://github.com/block/buzz.git
synced 2026-08-18 06:50:31 +02:00
npub1mn7jgtj4w2pd0g0zeuhxsa6jy6p0rewxz4kujt98my82ahfmp72sxjexk7andWill Pfleger
8ba3814854
CRITICAL: Fix Rust gpt5-base short-version guard to mirror TS regex semantics.
The old 4-char window check diverged from TS /^\d{1,3}(?:[^a-z\d]|$)/i for
inputs like gpt-5-10-preview (10 digits). Replaced with find(non-digit) approach
that exactly matches the TS digit-run semantics. Add left-boundary guards (start
or preceded by '-'/'.') to both gpt5_token_matches_rs and gpt5_base_matches_rs
to prevent sgpt-model-class false-positives.
IMPORTANT: Add exact_records validation to generator — enum checks for all
optional override axes, non-empty override check, canonical-order enforcement,
default_effort-in-override check, match_priority non-negative-int check
(injected into source comments, treated as injection surface). Add 9 schema-
negative tests in test-manifest-validator.mjs.
IMPORTANT: Restrict DBv2 gpt segment rule from starts_with("gpt") to exact
segment match ("gpt" or "gpt5"). Raise priority 5->6 to restore old dual-marker
OpenAI-before-Claude contract. Add left-boundary guards to token helpers. Add
collision-negative corpus vectors: gptoss-model, gptj-6b, gpt-neox,
customgpt-5-5-endpoint.
MINOR: Restore .trim() on model string before resolveModelCapabilities call in
buzzAgentConfig.ts. Make exact-record lookup case-insensitive (lowercase keys at
build + lookup). Extend run-corpus.mjs to compare all 6 axes including
normalization_policy and registry_label. Add positive corpus vectors: opus-5
rule, dbv2 gpt-segment, sol/luna/terra, gpt-5-4-nano exact record, openrouter/
unknown/legacy-databricks fallbacks, case-insensitive lookup vectors. Fix Rust
corpus test harness provider lowercasing to handle vectors like provider=OpenAI.
HYGIENE: Fix "Generated 3 files" -> "Generated 2 files" message. Remove dead
$schema pointer from manifest. Add module doc to generated_model_capabilities_tests.rs
noting hand-maintained status. Switch PROVIDER_ALIASES from plain object to Map
in formatAgentModelLabel.ts and run-corpus.mjs. Align CI node-version to 24.
Tighten python SAFE_NAME_RE from * to + to reject empty display names.
luna/terra: models.dev confirms databricks-gpt-5-6-luna and -terra advertise
[low,medium,high] (differs from sol's [low,medium,high,max]). Added two exact
records with supported_efforts=[low,medium,high], default_effort=medium.
Co-authored-by: Will Pfleger <pfleger.will@gmail.com>
Signed-off-by: Will Pfleger <pfleger.will@gmail.com>
899 lines
26 KiB
JSON
899 lines
26 KiB
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)",
|
|
"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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],
|
|
"match_priority": 10,
|
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"thinking_mode": "manual-budget",
|
|
"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",
|
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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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"id": "dbv2-gpt-code-names-segment",
|
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"_comment": "DBv2-only rule: endpoint names with exact GPT segment route via OpenAI Responses. Handles segment-exact matches of \"gpt\" or \"gpt5\" (e.g. databricks-gpt-5.5 \u2192 segments include \"gpt\"). Priority > dbv2-claude (6 vs 5) restores old-contract: OpenAI checked before Claude for dual-marker names. segment match (not segment-prefix) prevents gptoss/gptj/gpt-neox false-positives.",
|
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"match_kind": "segment",
|
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"match_value": "gpt",
|
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"providers": [
|
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"databricks_v2"
|
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],
|
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"match_priority": 6,
|
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"thinking_mode": "none",
|
|
"supported_efforts": [
|
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"none",
|
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"minimal",
|
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"low",
|
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"medium",
|
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"high",
|
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"xhigh"
|
|
],
|
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"default_effort": "medium",
|
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"databricks_v2_wire_route": "openai-responses",
|
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"normalization_policy": "openai-clamp-max-to-xhigh",
|
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"match_aliases": [
|
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"gpt5"
|
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]
|
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},
|
|
{
|
|
"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).",
|
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"match_kind": "segment",
|
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"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": "databricks_v2",
|
|
"raw_model_id": "databricks-gpt-5-6-luna",
|
|
"registry_label": "GPT-5.6 Luna",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high"
|
|
],
|
|
"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",
|
|
"supported_efforts_override": [
|
|
"low",
|
|
"medium",
|
|
"high"
|
|
],
|
|
"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_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"
|
|
}
|
|
}
|
|
}
|
|
}
|