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feat: enabled openai reasoning mode and integrated new model catalog

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- Enabled OpenAI pro reasoning mode by integrating reasoning aliases and parameter injection.
- Expanded the model catalog with GPT-5.6 Luna, Sol, Terra, and Meta Muse Spark 1.1.
- Updated model type definitions and provider request transformers to support reasoning configurations.
- Refined model generation scripts to include new pro-reasoning aliases for OpenAI providers.
This commit is contained in:
can1357
2026-07-09 22:20:32 +02:00
parent b9e560d806
commit faa70100ea
10 changed files with 813 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/ai/CHANGELOG.md
+4
View File
@@ -2,6 +2,10 @@
## [Unreleased]
### Added
- Added OpenAI pro reasoning mode support: models carrying the catalog `reasoningMode: "pro"` marker (GPT-5.6 Pro aliases) send `reasoning: { mode: "pro" }` on OpenAI Responses and Codex Responses requests, alongside the configured effort. The Codex request body now honors `requestModelId` so catalog aliases request the base upstream model id.
### Changed
- Updated xAI OAuth to use a dedicated device-code flow instead of redirect/loopback server
packages/ai/src/providers/openai-codex-responses.ts
+1 -1
View File
@@ -949,7 +949,7 @@ export async function buildTransformedCodexRequestBody(
promptCacheKey = normalizeOpenAIResponsesPromptCacheKey(options?.promptCacheKey ?? options?.sessionId),
): Promise<RequestBody> {
const params: RequestBody = {
model: model.id,
model: model.requestModelId ?? model.id,
input: convertMessages(model, context),
stream: true,
prompt_cache_key: promptCacheKey,
packages/ai/src/providers/openai-codex/request-transformer.ts
+8
View File
@@ -23,6 +23,8 @@ export interface ReasoningConfig {
effort: "none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max";
summary?: "auto" | "concise" | "detailed";
context?: CodexReasoningContext;
/** Pro reasoning serving mode (gpt-5.6+ catalog pro aliases). */
mode?: "pro";
}
export interface CodexRequestOptions {
@@ -367,6 +369,12 @@ export async function transformRequestBody(
} else {
delete body.reasoning;
}
// Catalog pro aliases (`gpt-5.6-*-pro`): applied after the effort branch so
// the mode is sent even when no effort is set (the branch above deletes
// `body.reasoning` in that case) — mode and effort are independent fields.
if (model.reasoningMode) {
body.reasoning = { ...body.reasoning, mode: model.reasoningMode };
}
body.text = {
...body.text,
packages/ai/src/providers/openai-responses-wire.ts
+7
View File
@@ -6318,6 +6318,13 @@ export interface Reasoning {
* - `xhigh` is supported for all models after `gpt-5.1-codex-max`.
*/
effort?: ReasoningEffort | null;
/**
* **gpt-5.6 and later models only**
*
* Reasoning serving mode. `pro` routes the request to the pro reasoning
* path (more compute per response); omit for the standard path.
*/
mode?: "pro" | null;
/**
* @deprecated **Deprecated:** use `summary` instead.
*
packages/ai/src/providers/openai-responses.ts
+7
View File
@@ -904,6 +904,13 @@ export function buildParams(
model.thinking?.effortMap?.[effort as NonNullable<OpenAIResponsesOptions["reasoning"]>] ??
effort,
});
// Catalog pro aliases (`gpt-5.6-*-pro`): merge AFTER the compat policy so the
// mode survives every policy branch (disabled/omitted effort included) while
// keeping whatever effort/summary the policy produced — mode and effort are
// independent wire fields.
if (model.reasoningMode) {
params.reasoning = { ...params.reasoning, mode: model.reasoningMode };
}
applyOpenAIGatewayRouting(params, model.compat);
packages/catalog/CHANGELOG.md
+8
View File
@@ -2,6 +2,14 @@
## [Unreleased]
### Added
- Added `gpt-5.6` base models and `gpt-5.6-{luna,sol,terra}-pro` variants
- Added `meta/muse-spark-1.1` model support
- Added support for thinking modes on `poolside/laguna` models
- Added generated GPT-5.6 Pro aliases (`gpt-5.6-{luna,sol,terra}-pro`) on the `openai` and `openai-codex` providers: each alias sends the base model id on the wire (`requestModelId`) with the new `reasoningMode: "pro"` marker, and re-derives from the current base rows on every catalog regeneration.
## [16.3.14] - 2026-07-09
### Added
packages/catalog/scripts/generate-models.ts
+5
View File
@@ -38,6 +38,7 @@ import {
isKimiK27CodeModelId,
MODELS_DEV_PROVIDER_DESCRIPTORS,
mapModelsDevToModels,
projectOpenAIProReasoningAliases,
SAKANA_FUGU_STATIC_MODELS,
stripFireworksDeepSeekThinkingToggle,
} from "../src/provider-models/openai-compat";
@@ -585,6 +586,10 @@ async function generateModels() {
const name = cleanModelName(model.name);
return name === model.name ? model : { ...model, name };
});
// Re-derive the first-party gpt-5.6 pro-reasoning aliases from the current
// base rows (stale previous-snapshot aliases are dropped inside), before the
// policy re-bake so the aliases get the same baked thinking metadata.
allModels = projectOpenAIProReasoningAliases(allModels);
applyGeneratedModelPolicies(allModels);
linkOpenAIPromotionTargets(allModels);
// Collapse effort-tier variants AFTER the policy re-bake: live-discovery
packages/catalog/src/models.json
+710 -23
View File
@@ -32288,7 +32288,7 @@
"api": "openai-completions",
"provider": "kilo",
"baseUrl": "https://api.kilo.ai/api/gateway",
"reasoning": false,
"reasoning": true,
"input": [
"text"
],
@@ -32299,7 +32299,17 @@
"cacheWrite": 0
},
"contextWindow": 262144,
"maxTokens": 32768
"maxTokens": 32768,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
"poolside/laguna-m.1:free": {
"id": "poolside/laguna-m.1:free",
@@ -32374,7 +32384,7 @@
"api": "openai-completions",
"provider": "kilo",
"baseUrl": "https://api.kilo.ai/api/gateway",
"reasoning": false,
"reasoning": true,
"input": [
"text"
],
@@ -32385,7 +32395,17 @@
"cacheWrite": 0
},
"contextWindow": 262144,
"maxTokens": 32768
"maxTokens": 32768,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
"poolside/laguna-xs.2:free": {
"id": "poolside/laguna-xs.2:free",
@@ -45679,6 +45699,25 @@
"contextWindow": 328000,
"maxTokens": 65536
},
"meta/muse-spark-1.1": {
"id": "meta/muse-spark-1.1",
"name": "meta/muse-spark-1.1",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1048576,
"maxTokens": 1048576
},
"microsoft/MAI-DS-R1-FP8": {
"id": "microsoft/MAI-DS-R1-FP8",
"name": "microsoft/MAI-DS-R1-FP8",
@@ -48497,6 +48536,174 @@
},
"contextPromotionTarget": "nanogpt/openai/gpt-5.4"
},
"openai/gpt-5.6-luna": {
"id": "openai/gpt-5.6-luna",
"name": "GPT-5.6 Luna",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 1,
"output": 6,
"cacheRead": 0.09999999999999999,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"openai/gpt-5.6-luna-pro": {
"id": "openai/gpt-5.6-luna-pro",
"name": "GPT-5.6 Luna Pro",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000
},
"openai/gpt-5.6-sol": {
"id": "openai/gpt-5.6-sol",
"name": "GPT-5.6 Sol",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"openai/gpt-5.6-sol-pro": {
"id": "openai/gpt-5.6-sol-pro",
"name": "GPT-5.6 Sol Pro",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000
},
"openai/gpt-5.6-terra": {
"id": "openai/gpt-5.6-terra",
"name": "GPT-5.6 Terra",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 2.5,
"output": 15,
"cacheRead": 0.25,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"openai/gpt-5.6-terra-pro": {
"id": "openai/gpt-5.6-terra-pro",
"name": "GPT-5.6 Terra Pro",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1050000,
"maxTokens": 128000
},
"openai/gpt-chat-latest": {
"id": "openai/gpt-chat-latest",
"name": "GPT Chat Latest",
@@ -49105,41 +49312,61 @@
},
"poolside/laguna-m.1": {
"id": "poolside/laguna-m.1",
"name": "poolside/laguna-m.1",
"name": "Laguna M.1",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"reasoning": true,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"input": 0.2,
"output": 0.4,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 262144,
"maxTokens": 32768
"maxTokens": 32768,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
"poolside/laguna-xs.2": {
"id": "poolside/laguna-xs.2",
"name": "poolside/laguna-xs.2",
"name": "Laguna XS.2",
"api": "openai-completions",
"provider": "nanogpt",
"baseUrl": "https://nano-gpt.com/api/v1",
"reasoning": false,
"reasoning": true,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"input": 0.2,
"output": 0.4,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 262144,
"maxTokens": 32768
"maxTokens": 32768,
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
"qvq-max": {
"id": "qvq-max",
@@ -60096,6 +60323,44 @@
},
"contextPromotionTarget": "openai/gpt-5.4"
},
"gpt-5.6": {
"id": "gpt-5.6",
"name": "GPT-5.6",
"api": "openai-responses",
"provider": "openai",
"baseUrl": "https://api.openai.com/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 6.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"gpt-5.6-luna": {
"id": "gpt-5.6-luna",
"name": "GPT-5.6 Luna",
@@ -60134,6 +60399,46 @@
}
}
},
"gpt-5.6-luna-pro": {
"id": "gpt-5.6-luna-pro",
"name": "GPT-5.6 Luna Pro",
"api": "openai-responses",
"provider": "openai",
"baseUrl": "https://api.openai.com/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 1,
"output": 6,
"cacheRead": 0.1,
"cacheWrite": 1.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
"requestModelId": "gpt-5.6-luna",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"gpt-5.6-sol": {
"id": "gpt-5.6-sol",
"name": "GPT-5.6 Sol",
@@ -60172,6 +60477,46 @@
}
}
},
"gpt-5.6-sol-pro": {
"id": "gpt-5.6-sol-pro",
"name": "GPT-5.6 Sol Pro",
"api": "openai-responses",
"provider": "openai",
"baseUrl": "https://api.openai.com/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 6.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
"requestModelId": "gpt-5.6-sol",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"gpt-5.6-terra": {
"id": "gpt-5.6-terra",
"name": "GPT-5.6 Terra",
@@ -60210,6 +60555,46 @@
}
}
},
"gpt-5.6-terra-pro": {
"id": "gpt-5.6-terra-pro",
"name": "GPT-5.6 Terra Pro",
"api": "openai-responses",
"provider": "openai",
"baseUrl": "https://api.openai.com/v1",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 2.5,
"output": 15,
"cacheRead": 0.25,
"cacheWrite": 3.125
},
"contextWindow": 1050000,
"maxTokens": 128000,
"requestModelId": "gpt-5.6-terra",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"o1": {
"id": "o1",
"name": "o1",
@@ -61034,6 +61419,53 @@
}
}
},
"gpt-5.6-luna-pro": {
"id": "gpt-5.6-luna-pro",
"name": "GPT-5.6 Luna Pro",
"api": "openai-codex-responses",
"provider": "openai-codex",
"baseUrl": "https://chatgpt.com/backend-api",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 1,
"output": 6,
"cacheRead": 0.1,
"cacheWrite": 1.25
},
"remoteCompaction": {
"enabled": true,
"api": "openai-codex-responses",
"v2StreamingEnabled": true
},
"contextWindow": 372000,
"maxTokens": 128000,
"preferWebsockets": true,
"priority": 3,
"requestModelId": "gpt-5.6-luna",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"gpt-5.6-sol": {
"id": "gpt-5.6-sol",
"name": "GPT-5.6 Sol",
@@ -61079,6 +61511,53 @@
}
}
},
"gpt-5.6-sol-pro": {
"id": "gpt-5.6-sol-pro",
"name": "GPT-5.6 Sol Pro",
"api": "openai-codex-responses",
"provider": "openai-codex",
"baseUrl": "https://chatgpt.com/backend-api",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 6.25
},
"remoteCompaction": {
"enabled": true,
"api": "openai-codex-responses",
"v2StreamingEnabled": true
},
"contextWindow": 372000,
"maxTokens": 128000,
"preferWebsockets": true,
"priority": 1,
"requestModelId": "gpt-5.6-sol",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
},
"gpt-5.6-terra": {
"id": "gpt-5.6-terra",
"name": "GPT-5.6 Terra",
@@ -61123,6 +61602,53 @@
"xhigh": "max"
}
}
},
"gpt-5.6-terra-pro": {
"id": "gpt-5.6-terra-pro",
"name": "GPT-5.6 Terra Pro",
"api": "openai-codex-responses",
"provider": "openai-codex",
"baseUrl": "https://chatgpt.com/backend-api",
"reasoning": true,
"input": [
"text",
"image"
],
"cost": {
"input": 2.5,
"output": 15,
"cacheRead": 0.25,
"cacheWrite": 3.125
},
"remoteCompaction": {
"enabled": true,
"api": "openai-codex-responses",
"v2StreamingEnabled": true
},
"contextWindow": 372000,
"maxTokens": 128000,
"preferWebsockets": true,
"priority": 2,
"requestModelId": "gpt-5.6-terra",
"reasoningMode": "pro",
"applyPatchToolType": "freeform",
"thinking": {
"mode": "effort",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
],
"effortMap": {
"minimal": "low",
"low": "medium",
"medium": "high",
"high": "xhigh",
"xhigh": "max"
}
}
}
},
"opencode": {
@@ -64155,7 +64681,7 @@
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 0
"cacheWrite": 6.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -67983,8 +68509,8 @@
],
"cost": {
"input": 0.72,
"output": 3.5,
"cacheRead": 0.15,
"output": 3.49,
"cacheRead": 0.159,
"cacheWrite": 0
},
"contextWindow": 262144,
@@ -69547,7 +70073,7 @@
"input": 1,
"output": 6,
"cacheRead": 0.09999999999999999,
"cacheWrite": 0
"cacheWrite": 1.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -69584,7 +70110,7 @@
"input": 1,
"output": 6,
"cacheRead": 0.09999999999999999,
"cacheWrite": 0
"cacheWrite": 1.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -69621,7 +70147,7 @@
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 0
"cacheWrite": 6.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -69658,7 +70184,7 @@
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 0
"cacheWrite": 6.25
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -69695,7 +70221,7 @@
"input": 2.5,
"output": 15,
"cacheRead": 0.25,
"cacheWrite": 0
"cacheWrite": 3.125
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -69732,7 +70258,7 @@
"input": 2.5,
"output": 15,
"cacheRead": 0.25,
"cacheWrite": 0
"cacheWrite": 3.125
},
"contextWindow": 1050000,
"maxTokens": 128000,
@@ -77243,6 +77769,138 @@
]
}
},
"openai-gpt-56-luna": {
"id": "openai-gpt-56-luna",
"name": "openai-gpt-56-luna",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-56-luna-pro": {
"id": "openai-gpt-56-luna-pro",
"name": "openai-gpt-56-luna-pro",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-56-sol": {
"id": "openai-gpt-56-sol",
"name": "openai-gpt-56-sol",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-56-sol-pro": {
"id": "openai-gpt-56-sol-pro",
"name": "openai-gpt-56-sol-pro",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-56-terra": {
"id": "openai-gpt-56-terra",
"name": "openai-gpt-56-terra",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-56-terra-pro": {
"id": "openai-gpt-56-terra-pro",
"name": "openai-gpt-56-terra-pro",
"api": "openai-completions",
"provider": "venice",
"baseUrl": "https://api.venice.ai/api/v1",
"reasoning": false,
"input": [
"text"
],
"cost": {
"input": 0,
"output": 0,
"cacheRead": 0,
"cacheWrite": 0
},
"contextWindow": 1000000,
"maxTokens": 128000,
"compat": {
"supportsUsageInStreaming": false
}
},
"openai-gpt-oss-120b": {
"id": "openai-gpt-oss-120b",
"name": "OpenAI GPT OSS 120B",
@@ -80352,6 +81010,35 @@
"contextWindow": 128000,
"maxTokens": 8192
},
"meta/muse-spark-1.1": {
"id": "meta/muse-spark-1.1",
"name": "Muse Spark 1.1",
"api": "anthropic-messages",
"provider": "vercel-ai-gateway",
"baseUrl": "https://ai-gateway.vercel.sh",
"reasoning": true,
"input": [
"text"
],
"cost": {
"input": 1.25,
"output": 4.25,
"cacheRead": 0.15,
"cacheWrite": 0
},
"contextWindow": 1048576,
"maxTokens": 1048576,
"thinking": {
"mode": "budget",
"efforts": [
"minimal",
"low",
"medium",
"high",
"xhigh"
]
}
},
"minimax/minimax-m2": {
"id": "minimax/minimax-m2",
"name": "MiniMax M2",
packages/catalog/src/provider-models/openai-compat.ts
+56
View File
@@ -821,6 +821,62 @@ export function openaiModelManagerOptions(config?: OpenAIModelManagerConfig): Mo
};
}
/** First-party gpt-5.6 SKUs that accept `reasoning: { mode: "pro" }` on the Responses APIs. */
const OPENAI_PRO_REASONING_BASE_IDS: Record<string, true> = {
"gpt-5.6-luna": true,
"gpt-5.6-sol": true,
"gpt-5.6-terra": true,
};
const OPENAI_PRO_REASONING_PROVIDERS: Record<string, true> = { openai: true, "openai-codex": true };
/**
* A row this generator pass owns: one of the derived `gpt-5.6-*-pro` alias ids
* on `openai`/`openai-codex` that carries the generated `reasoningMode` marker.
* A real upstream model occupying the same id has no `reasoningMode` and is
* never touched.
*/
function isGeneratedOpenAIProReasoningAlias(model: ModelSpec<Api>): boolean {
return (
OPENAI_PRO_REASONING_PROVIDERS[model.provider] === true &&
model.reasoningMode !== undefined &&
model.id.endsWith("-pro") &&
OPENAI_PRO_REASONING_BASE_IDS[model.id.slice(0, -"-pro".length)] === true
);
}
/**
* Re-derive the generated pro-reasoning aliases (`gpt-5.6-*-pro`) for the
* first-party `openai`/`openai-codex` gpt-5.6 rows. Each alias inherits the
* base row's metadata, requests the base wire id via `requestModelId`, and
* sets `reasoningMode: "pro"` so Responses-family request builders emit
* `reasoning: { mode: "pro" }`. Called by the models.json generator after all
* sources merge: stale copies of the owned aliases (previous snapshot) are
* dropped and re-projected from the current base rows so alias metadata always
* tracks the base, while a real upstream model that occupies an alias id wins
* and suppresses the projection.
*/
export function projectOpenAIProReasoningAliases(models: readonly ModelSpec<Api>[]): ModelSpec<Api>[] {
const kept = models.filter(model => !isGeneratedOpenAIProReasoningAlias(model));
const ids = new Set(kept.map(model => `${model.provider}/${model.id}`));
const out = [...kept];
for (const model of kept) {
if (!OPENAI_PRO_REASONING_PROVIDERS[model.provider]) continue;
if (!OPENAI_PRO_REASONING_BASE_IDS[model.id]) continue;
const aliasId = `${model.id}-pro`;
const aliasKey = `${model.provider}/${aliasId}`;
if (ids.has(aliasKey)) continue;
ids.add(aliasKey);
out.push({
...model,
id: aliasId,
name: `${model.name} Pro`,
requestModelId: model.id,
reasoningMode: "pro",
});
}
return out;
}
// ---------------------------------------------------------------------------
// 2. Groq
// ---------------------------------------------------------------------------
packages/catalog/src/types.ts
+7
View File
@@ -691,6 +691,13 @@ export interface Model<TApi extends Api = Api> {
* everything local (selection, caching, usage attribution) keys on `id`.
*/
requestModelId?: string;
/**
* `reasoning.mode` to send on OpenAI Responses-family requests. Set on
* generated pro aliases (`gpt-5.6-*-pro` on `openai`/`openai-codex`) that
* pair a base wire id (`requestModelId`) with OpenAI's pro reasoning
* serving path. Absent everywhere else; providers omit the wire field.
*/
reasoningMode?: "pro";
name: string;
api: TApi;
provider: Provider;