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Added tool calling support (#731)
Co-authored-by: krut_ni <nils.kruthoff@dlr.de> Co-authored-by: Thorsten Sommer <SommerEngineering@users.noreply.github.com>
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@@ -1,11 +1,16 @@
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//! The HTTP endpoint for filtering text that does not arrive through a file stream.
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//! The HTTP endpoints for filtering text that does not arrive through a file stream.
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//!
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//! Files are filtered inside `extract_data`, where the runtime already sees every chunk.
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//! Web pages and retrieval contexts never pass through there — the app fetches and converts
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//! them itself — so they are handed over here instead. They are small enough that one
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//! request per text is cheaper than streaming.
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//!
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//! A single tool call, however, can produce many texts at once: a web search returns several
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//! pages, each with its own content, title, description, and authors. Those go through the
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//! batch endpoint, which filters them in one request instead of one round trip per field.
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use crate::api_token::APIToken;
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use axum::http::StatusCode;
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use axum::Json;
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use serde::{Deserialize, Serialize};
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@@ -16,6 +21,11 @@ pub struct SanitizeRequest {
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pub text: String,
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}
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#[derive(Deserialize)]
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pub struct SanitizeBatchRequest {
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pub texts: Vec<String>,
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}
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#[derive(Serialize)]
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pub struct SanitizeResponse {
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/// The text with the suspicious passages filtered out. Usable as it stands: filtering
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@@ -28,6 +38,13 @@ pub struct SanitizeResponse {
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pub redacted_count: usize,
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}
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#[derive(Serialize)]
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pub struct SanitizeBatchResponse {
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/// One result per requested text, in request order. The caller matches results to its own
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/// texts by index, so this list always has the same length as the request's.
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pub results: Vec<SanitizeResponse>,
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}
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pub async fn sanitize(_token: APIToken, Json(request): Json<SanitizeRequest>) -> Json<SanitizeResponse> {
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let (sanitized_text, report) = sanitize_text(&request.text);
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@@ -36,4 +53,38 @@ pub async fn sanitize(_token: APIToken, Json(request): Json<SanitizeRequest>) ->
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findings: report.findings,
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redacted_count: report.redacted_count,
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})
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}
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pub async fn sanitize_batch(
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_token: APIToken,
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Json(request): Json<SanitizeBatchRequest>,
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) -> Result<Json<SanitizeBatchResponse>, (StatusCode, String)> {
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//
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// Scanning is CPU-bound, and a batch carries far more text than a single request: an entire
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// web search instead of one page. Running that on a runtime worker would stall every other
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// call the app makes meanwhile, so it goes to the blocking pool.
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//
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tokio::task::spawn_blocking(move || {
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let results = request
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.texts
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.iter()
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.map(|text| {
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let (sanitized_text, report) = sanitize_text(text);
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SanitizeResponse {
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sanitized_text,
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findings: report.findings,
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redacted_count: report.redacted_count,
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}
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})
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.collect();
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Json(SanitizeBatchResponse { results })
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})
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.await
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.map_err(|error| {
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(
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StatusCode::INTERNAL_SERVER_ERROR,
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format!("The prompt injection filter failed: {error}"),
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)
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})
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}
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