parallel-data-enrichment

Data Enrichment Enrich: $ARGUMENTS Before starting Inform the user that enrichment may take several minutes depending on the number of rows and fields requested. Step 1: Start the enrichment Use ONE of these command patterns (substitute user's actual data): For inline data: parallel-cli enrich run --data '[{"company": "Google"}, {"company": "Microsoft"}]' --intent "CEO name and founding year" --target "output.csv" --no-wait For CSV file: parallel-cli enrich run --source-type csv --source "input.csv" --target "output.csv" --source-columns '[{"name": "company", "description": "Company name"}]' --intent "CEO name and founding year" --no-wait IMPORTANT: Always include --no-wait so the command returns immediately instead of blocking. Parse the output to extract the taskgroup_id and monitoring URL. Immediately tell the user: Enrichment has been kicked off The monitoring URL where they can track progress Tell them they can background the polling step to continue working while it runs. Step 2: Poll for results parallel-cli enrich poll " $TASKGROUP_ID " --timeout 540 Important: Use --timeout 540 (9 minutes) to stay within tool execution limits If the poll times out Enrichment of large datasets can take longer than 9 minutes. If the poll exits without completing: Tell the user the enrichment is still running server-side Re-run the same parallel-cli enrich poll command to continue waiting Response format After step 1: Share the monitoring URL (for tracking progress). After step 2: Report number of rows enriched Preview first few rows of the output CSV Tell user the full path to the output CSV file Do NOT re-share the monitoring URL after completion — the results are in the output file. Setup If parallel-cli is not found, install and authenticate: curl -fsSL https://parallel.ai/install.sh | bash If unable to install that way, install via pipx instead: pipx install "parallel-web-tools[cli]" pipx ensurepath Then authenticate: parallel-cli login Or set an API key: export PARALLEL_API_KEY="your-key"