vercel/ai · error · TooManyEmbeddingValuesForCallError
Too many values for a single embedding call. The ${options.p
Error message
Too many values for a single embedding call. The ${options.provider} model "${options.modelId}" can only embed up to ${options.maxEmbeddingsPerCall} values per call, but ${options.values.length} values were provided. What it means
Error "Too many values for a single embedding call. The ${options.provider} model "${options.modelId}" can only embed up to ${options.maxEmbeddingsPerCall} values per call, but ${options.values.length} values were provided." thrown in vercel/ai.
Source
Thrown at packages/cohere/src/cohere-embedding-model.ts:76
return this.config.provider;
}
async doEmbed({
values,
headers,
abortSignal,
providerOptions,
}: Parameters<EmbeddingModelV4['doEmbed']>[0]): Promise<
Awaited<ReturnType<EmbeddingModelV4['doEmbed']>>
> {
const embeddingOptions = await parseProviderOptions({
provider: 'cohere',
providerOptions,
schema: cohereEmbeddingModelOptions,
});
if (values.length > this.maxEmbeddingsPerCall) {
throw new TooManyEmbeddingValuesForCallError({
provider: this.provider,
modelId: this.modelId,
maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,
values,
});
}
const {
responseHeaders,
value: response,
rawValue,
} = await postJsonToApi({
url: `${this.config.baseURL}/embed`,
headers: combineHeaders(this.config.headers?.(), headers),
body: {
model: this.modelId,
// The AI SDK only supports 'float' embeddings. Note that the Cohere API
// supports other embedding types, but they are not currently supported by the AI SDK.View on GitHub (pinned to 69428b1f8b)
When it happens
Trigger: Thrown at packages/cohere/src/cohere-embedding-model.ts:76 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of vercel/ai@69428b1f8b (2026-08-30).
Data as JSON: /api/errors/dba48cba1057889b.
Report an issue: GitHub.