{
  "$schema": "./model-capabilities-schema.json",
  "_comment": "Hand-curated model capability manifest. Edit here; run scripts/generate-model-capabilities.mjs to regenerate artifacts.",
  "_generated_by": "scripts/generate-model-capabilities.mjs",
  "_sources": {
    "models_dev": "https://models.dev/api.json (retrieved 2026-07-31, SHA-256 d5a4974cd69f19b0f67713acaa6bb3b16e920defdc07ecbdf6b0a936181bb0e0)",
    "anthropic_thinking": "https://platform.claude.com/docs/en/build-with-claude/extended-thinking (July 2025)",
    "anthropic_effort": "https://platform.claude.com/docs/en/build-with-claude/effort (July 2025)",
    "openai_reasoning": "https://platform.openai.com/docs/guides/reasoning (July 2025)",
    "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"
  },
  "family_tokens": [
    "claude-",
    "gpt-"
  ],
  "family_rules": [
    {
      "id": "anthropic-manual-budget-claude3",
      "match_kind": "prefix",
      "match_value": "claude-3",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "manual-budget",
      "supported_efforts": [
        "low",
        "medium",
        "high"
      ],
      "default_effort": null,
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none"
    },
    {
      "id": "anthropic-manual-budget-opus-4-5",
      "match_kind": "exact",
      "match_value": "claude-opus-4-5",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "manual-budget",
      "supported_efforts": [
        "low",
        "medium",
        "high"
      ],
      "default_effort": null,
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Opus 4.5"
    },
    {
      "id": "anthropic-adaptive-xhigh-opus-4-7",
      "match_kind": "prefix",
      "match_value": "claude-opus-4-7",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Opus 4.7"
    },
    {
      "id": "anthropic-adaptive-xhigh-opus-4-8",
      "match_kind": "prefix",
      "match_value": "claude-opus-4-8",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Opus 4.8"
    },
    {
      "id": "anthropic-adaptive-xhigh-opus-5",
      "match_kind": "prefix",
      "match_value": "claude-opus-5",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Opus 5"
    },
    {
      "id": "anthropic-adaptive-xhigh-sonnet-5",
      "match_kind": "prefix",
      "match_value": "claude-sonnet-5",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Sonnet 5"
    },
    {
      "id": "anthropic-adaptive-xhigh-fable-5",
      "match_kind": "prefix",
      "match_value": "claude-fable-5",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Fable 5"
    },
    {
      "id": "anthropic-adaptive-xhigh-mythos-5",
      "match_kind": "prefix",
      "match_value": "claude-mythos-5",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Mythos 5"
    },
    {
      "id": "anthropic-adaptive-no-xhigh-opus-4-6",
      "match_kind": "prefix",
      "match_value": "claude-opus-4-6",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Opus 4.6"
    },
    {
      "id": "anthropic-adaptive-no-xhigh-sonnet-4-6",
      "match_kind": "prefix",
      "match_value": "claude-sonnet-4-6",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Sonnet 4.6"
    },
    {
      "id": "anthropic-adaptive-no-xhigh-mythos-preview",
      "match_kind": "prefix",
      "match_value": "claude-mythos-preview",
      "providers": [
        "anthropic",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "adaptive",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "max"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "anthropic-messages",
      "normalization_policy": "none",
      "registry_label": "Claude Mythos Preview"
    },
    {
      "id": "openai-gpt5-pro",
      "match_kind": "gpt5-token",
      "match_value": "gpt-5-pro",
      "match_aliases": [
        "gpt5-pro"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 20,
      "thinking_mode": "none",
      "supported_efforts": [
        "high"
      ],
      "default_effort": "high",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5 Pro"
    },
    {
      "id": "openai-gpt5-6",
      "match_kind": "gpt5-token",
      "match_value": "gpt-5.6",
      "match_aliases": [
        "gpt5.6",
        "gpt-5-6",
        "gpt5-6"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 15,
      "thinking_mode": "none",
      "supported_efforts": [
        "none",
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "default_effort": "medium",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5.6"
    },
    {
      "id": "openai-gpt5-5",
      "match_kind": "gpt5-token",
      "match_value": "gpt-5.5",
      "match_aliases": [
        "gpt5.5",
        "gpt-5-5",
        "gpt5-5"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 15,
      "thinking_mode": "none",
      "supported_efforts": [
        "none",
        "low",
        "medium",
        "high",
        "xhigh"
      ],
      "default_effort": "medium",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5.5"
    },
    {
      "id": "openai-gpt5-4",
      "match_kind": "gpt5-token",
      "match_value": "gpt-5.4",
      "match_aliases": [
        "gpt5.4",
        "gpt-5-4",
        "gpt5-4"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 15,
      "thinking_mode": "none",
      "supported_efforts": [
        "none",
        "low",
        "medium",
        "high",
        "xhigh"
      ],
      "default_effort": "medium",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5.4"
    },
    {
      "id": "openai-gpt5-1",
      "match_kind": "gpt5-token",
      "match_value": "gpt-5.1",
      "match_aliases": [
        "gpt5.1",
        "gpt-5-1",
        "gpt5-1"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 15,
      "thinking_mode": "none",
      "supported_efforts": [
        "none",
        "low",
        "medium",
        "high"
      ],
      "default_effort": "none",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5.1"
    },
    {
      "id": "openai-gpt5-base",
      "match_kind": "gpt5-base",
      "match_value": "gpt-5",
      "match_aliases": [
        "gpt5"
      ],
      "providers": [
        "openai",
        "databricks",
        "databricks_v2"
      ],
      "match_priority": 10,
      "thinking_mode": "none",
      "supported_efforts": [
        "minimal",
        "low",
        "medium",
        "high"
      ],
      "default_effort": "medium",
      "databricks_v2_wire_route": "openai-responses",
      "normalization_policy": "openai-standard",
      "registry_label": "GPT-5"
    },
    {
      "id": "dbv2-claude-code-names-segment",
      "_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.",
      "match_kind": "segment",
      "match_value": "claude",
      "match_aliases": [
        "opus",
        "sonnet",
        "haiku",
        "mythos",
        "fable"
      ],
      "providers": [
        "databricks_v2"
      ],
      "match_priority": 5,
      "thinking_mode": "omit-fields",
      "supported_efforts": [
        "low",
        "medium",
        "high",
        "xhigh",
        "max"
      ],
      "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}]"
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}