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fix(gateway): normalize Gemini Vertex embedding transport

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MMEXA
2026-05-18 15:39:29 +00:00
parent 66f154a251
commit b480f3aaff
24 changed files with 1046 additions and 107 deletions
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44
crates/aether-provider-transport/src/request_url/mod.rs
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@@ -19,8 +19,8 @@ use crate::url::{
use crate::vertex::{
build_vertex_api_key_gemini_content_url, build_vertex_api_key_gemini_embedding_url,
build_vertex_service_account_gemini_content_url,
build_vertex_service_account_gemini_embedding_url, is_vertex_transport_context,
resolve_local_vertex_api_key_query_auth, resolve_local_vertex_service_account_auth_config,
build_vertex_service_account_gemini_embedding_url, resolve_local_vertex_api_key_query_auth,
resolve_local_vertex_service_account_auth_config,
};
#[derive(Debug, Clone, Copy)]
@@ -68,13 +68,6 @@ fn build_transport_request_url_inner(
let provider_api_format = params.provider_api_format.trim().to_ascii_lowercase();
let normalized_provider_api_format =
aether_ai_formats::normalize_api_format_alias(&provider_api_format);
if normalized_provider_api_format == "gemini:embedding"
&& gemini_embedding_batch
&& is_vertex_transport_context(transport)
{
return None;
}
if let Some(url) = build_transport_hook_url(transport, params) {
return Some(url);
}
@@ -696,12 +689,12 @@ mod tests {
assert_eq!(
url,
"https://aiplatform.googleapis.com/v1/projects/demo-project/locations/global/publishers/google/models/gemini-embedding-2:embedContent?foo=bar"
"https://aiplatform.googleapis.com/v1/projects/demo-project/locations/global/publishers/google/models/gemini-embedding-2:predict?foo=bar"
);
}
#[test]
fn vertex_gemini_embedding_batch_request_does_not_use_gemini_api_batch_endpoint() {
fn vertex_gemini_embedding_batch_request_uses_vertex_predict_endpoint() {
let mut transport = sample_transport(
"vertex_ai",
"gemini:embedding",
@@ -729,18 +722,23 @@ mod tests {
]
});
assert!(build_transport_request_url_for_request_body(
&transport,
TransportRequestUrlParams {
provider_api_format: "gemini:embedding",
mapped_model: Some("gemini-embedding-2"),
upstream_is_stream: false,
request_query: None,
kiro_api_region: None,
},
Some(&batch_body),
)
.is_none());
assert_eq!(
build_transport_request_url_for_request_body(
&transport,
TransportRequestUrlParams {
provider_api_format: "gemini:embedding",
mapped_model: Some("gemini-embedding-2"),
upstream_is_stream: false,
request_query: None,
kiro_api_region: None,
},
Some(&batch_body),
)
.as_deref(),
Some(
"https://aiplatform.googleapis.com/v1/projects/demo-project/locations/global/publishers/google/models/gemini-embedding-2:predict"
)
);
}
#[test]