gemini-batch
This skill contains shell command directives (!`command`) that may execute system commands. Review carefully before installing.
Gemini production batch
NEVER USE AI STUDIO / THE GEMINI DEVELOPER API FOR PRODUCTION RUNS. Production batch runs use Gemini Enterprise Agent Platform (formerly Vertex AI): genai.Client(vertexai=True, project=..., location=...), Application Default Credentials (ADC), and GCS input/output. Substituting API-key/Files batch is not a shortcut: it sends the production workload to the wrong service.
- 2026-10-01, Developer API: a 2,111-row grounded batch returned 1,307
code 9 "Precondition check failed"rows; its retry queue stalled over 40 minutes. Tier 1'sgemini-3.8-flashqueue cap was 3M tokens. Repeating that production route recreates the failure, not a cheaper solution. These are Developer limits, not Cloud quotas.
Product name; current SDK docs use enterprise=True / GOOGLE_GENAI_USE_ENTERPRISE=True; vertexai=True remains compatible. Check SDK spelling and precedence before changing pins. aiplatform.googleapis.com and IAM roles/aiplatform.* retain their identifiers. Developer examples retained in references are not for production.