> ## 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.

# AI Call

> Sends a prompt to an LLM for analysis, summarization, classification, or transformation.

Sends a prompt to an LLM for analysis, summarization, classification, or transformation. Display name **"AI Call"**. On by default for new agents.

`response` is **raw text**, not a parsed object. If you asked for JSON it is usually wrapped in a ` ```json ` fence — strip the fence, then `json.loads`. Do not index into `response` as if it were already an object.

When quoting extracted values in the prompt, convert `{value, word_id_groups: [N]}` to `value[cite:N]`. Never put `word_id_groups` in the prompt.

## Authentication and enablement

No integration. Uses the agent's LLM. Default-on.

## Inputs

* `prompt` (required): the per-call question / instruction.
* `system_prompt` (optional).
* `cache_context` (optional): stable content identical across calls (documents, reference data). Cached separately from `prompt`.
* `cache_input` (optional bool).

## Output

`{tool_name, response, model, tokens_used, completed_at, metadata}`.

## Limits and side effects

* Billed as an LLM call. Prefer passing prior tool output through `generate_file` `content` instead of re-asking the model to format a CSV.
* No external writes.

## Expected errors

* Empty `prompt`.
* Provider/model failure (retried internally where configured).