vercel/ai · error · TooManyEmbeddingValuesForCallError

Too many values for a single embedding call. The ${provider}

Error message

Too many values for a single embedding call. The ${provider} model "${modelId}" can only embed up to ${maxEmbeddingsPerCall} values per call, but ${values.length} values were provided.

What it means

Error "Too many values for a single embedding call. The ${provider} model "${modelId}" can only embed up to ${maxEmbeddingsPerCall} values per call, but ${values.length} values were provided." thrown in vercel/ai.

Source

Thrown at packages/google/src/google-embedding-model.ts:77

  }

  async doEmbed({
    values,
    headers,
    abortSignal,
    providerOptions,
  }: Parameters<EmbeddingModelV4['doEmbed']>[0]): Promise<
    Awaited<ReturnType<EmbeddingModelV4['doEmbed']>>
  > {
    // Parse provider options
    const googleOptions = await parseProviderOptions({
      provider: 'google',
      providerOptions,
      schema: googleEmbeddingModelOptions,
    });

    if (values.length > this.maxEmbeddingsPerCall) {
      throw new TooManyEmbeddingValuesForCallError({
        provider: this.provider,
        modelId: this.modelId,
        maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,
        values,
      });
    }

    const mergedHeaders = combineHeaders(
      this.config.headers ? await resolve(this.config.headers) : undefined,
      headers,
    );

    const multimodalContent = googleOptions?.content;

    if (
      multimodalContent != null &&
      multimodalContent.length !== values.length
    ) {

View on GitHub (pinned to 69428b1f8b)

When it happens

Trigger: Thrown at packages/google/src/google-embedding-model.ts:77 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/1e46327571b10e6b. Report an issue: GitHub.