> ## Documentation Index
> Fetch the complete documentation index at: https://agents.nanonets.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# CSV Lookup

> Looks up rows in an agent-configured CSV by column match, exact or LLM-semantic.

Looks up rows in an agent-configured CSV by column match, exact or LLM-semantic. Display name **"CSV Lookup"**. Off by default — bind a CSV per configured tool.

Prefer batch `match_criteria` / `source_rows` over one call per line item.

## Authentication and enablement

Configured tool: upload/bind the CSV on the agent. No OAuth.

## Inputs

* `file_name` — which bound CSV.
* `match_criteria` — `[{column, values}]`. Values in one criterion are OR; multiple criteria are AND. Columns by header, letter (`A`), or number (`1`).
* `return_columns` — comma-separated names, or `*` (default).
* `matching_strategy` — `exact` (fast) or `llm` (embeddings).
* `source_rows` — for LLM matching on concatenated keys; pass per-row `{column, value}` pairs instead of hand-concatenating.
* `case_sensitive` — exact match only; default false.

## Output

Matched rows (and `additional_candidates` for LLM). The full CSV is not embedded — for a "pick any row" review UI, use `review_form` with a CSV option source.

## Limits and side effects

* LLM matching is slower/costlier; use `exact` when values are canonical.
* Read-only against the bound CSV.

## Expected errors

* Unknown `file_name`, empty criteria (except LLM + `source_rows`), CSV still indexing.