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Edit CSV spreadsheets with Python while preserving headers and producing the requested output file.
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Basé sur la classification professionnelle SOC
Create or update Braintrust Python SDK integrations built on the integrations API under `py/src/braintrust/integrations/`. Use when adding a new integration package, extending an existing provider integration, changing patchers, tracing, manual `wrap_*()` helpers, integration exports, `auto_instrument()` wiring, `py/noxfile.py` sessions, integration tests, or cassettes. Do not use when migrating an existing legacy wrapper from `py/src/braintrust/wrappers/` into the integrations API; use `sdk-wrapper-migrations` for that.
Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.
Build AI agents with Pydantic AI — tools, capabilities, structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydantic_ai, or asks to build an AI agent, add tools/capabilities, stream output, define agents from YAML, or test agent behavior.
Run interactive brainstorming across verifiers environments, evaluations, GEPA, and RL training. Use when the user wants ideation, literature scanning, concept teaching, roadmap planning, or research program design grounded in local CLI sources, verifiers, and RL trainer code.
Discover and inspect verifiers environments through the Prime ecosystem. Use when asked to find environments on the Hub, compare options, inspect metadata, check action status, pull local copies for inspection, or choose environment starting points before evaluation, training, or migration work.
Create or migrate verifiers environments for the Prime Lab ecosystem. Use when asked to build a new environment from scratch, port an eval or benchmark from papers or other libraries, start from an environment on the Hub, or convert existing tasks into a package that exposes load_environment and installs cleanly with prime env install.
| name | csv-editing |
| description | Edit CSV spreadsheets with Python while preserving headers and producing the requested output file. |
Use Python's csv module for spreadsheet-like CSV tasks. Always preserve the
header row. Read the input file, perform the requested transformation, write the
output file, then read it back.
Row deletion rule:
Verification:
