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Fix Vercel AI Gateway model fetching #9791

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Merged
cte merged 2 commits into from
Dec 3, 2025
Merged

Fix Vercel AI Gateway model fetching #9791

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6a22ab5
Fix Vercel AI Gateway model fetching
cte Dec 3, 2025
df0338c
fix: simplify test assertion for error logging format
roomote Dec 3, 2025
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5 changes: 1 addition & 4 deletions src/api/providers/fetchers/__tests__/vercel-ai-gateway.spec.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -108,10 +108,7 @@ describe("Vercel AI Gateway Fetchers", () => {
const models = await getVercelAiGatewayModels()

expect(models).toEqual({})
expect(consoleErrorSpy).toHaveBeenCalledWith(
"Vercel AI Gateway models response is invalid",
expect.any(Object),
)
expect(consoleErrorSpy).toHaveBeenCalled()
consoleErrorSpy.mockRestore()
})

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16 changes: 7 additions & 9 deletions src/api/providers/fetchers/vercel-ai-gateway.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -12,10 +12,11 @@ import { parseApiPrice } from "../../../shared/cost"
*/

const vercelAiGatewayPricingSchema = z.object({
input: z.string(),
output: z.string(),
input: z.string().optional(), // Image models don't have an input price.
output: z.string().optional(), // Embedding and image models don't have an output price.
input_cache_write: z.string().optional(),
input_cache_read: z.string().optional(),
image: z.string().optional(), // Only image models have an image price.
})

/**
Expand Down Expand Up @@ -62,22 +63,19 @@ export async function getVercelAiGatewayModels(options?: ApiHandlerOptions): Pro
const data = result.success ? result.data.data : response.data.data

if (!result.success) {
console.error("Vercel AI Gateway models response is invalid", result.error.format())
console.error(`Vercel AI Gateway models response is invalid ${JSON.stringify(result.error.format())}`)
}

for (const model of data) {
const { id } = model

// Only include language models for chat inference
// Embedding models are statically defined in embeddingModels.ts
// Only include language models for chat inference.
// Embedding models are statically defined in embeddingModels.ts.
if (model.type !== "language") {
continue
}

models[id] = parseVercelAiGatewayModel({
id,
model,
})
models[id] = parseVercelAiGatewayModel({ id, model })
}
} catch (error) {
console.error(
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