mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-04 08:27:46 +08:00
Merge remote-tracking branch 'origin/pr/593'
This commit is contained in:
@@ -13,6 +13,7 @@ const EMBEDDING_API_FORMATS: &[&str] = &[
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"jina:embedding",
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"gemini:embedding",
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"doubao:embedding",
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"aliyun:multimodal_embedding",
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];
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fn json_value_contains_string(value: &serde_json::Value, expected: &str) -> bool {
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@@ -6,6 +6,7 @@ const EMBEDDING_API_FORMATS: &[&str] = &[
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"jina:embedding",
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"gemini:embedding",
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"doubao:embedding",
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"aliyun:multimodal_embedding",
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];
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pub(crate) fn model_tiered_pricing_first_tier_value(
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@@ -94,7 +94,7 @@ fn split_admin_monitoring_api_format_and_model(
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fn is_known_admin_monitoring_api_format_family(value: &str) -> bool {
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matches!(
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value.trim().to_ascii_lowercase().as_str(),
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"openai" | "claude" | "gemini" | "jina" | "doubao"
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"openai" | "claude" | "gemini" | "jina" | "doubao" | "aliyun"
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)
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}
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@@ -116,6 +116,7 @@ fn is_known_admin_monitoring_api_format(value: &str) -> bool {
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| "jina:embedding"
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| "jina:rerank"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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)
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}
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@@ -597,6 +597,22 @@ fn provider_query_build_test_request_body_for_api_format(
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let message = provider_query_extract_message(payload)
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.unwrap_or_else(|| DEFAULT_PROVIDER_QUERY_TEST_MESSAGE.to_string());
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match client_api_format.as_str() {
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"openai:embedding" => json!({
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"model": model,
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"input": message,
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}),
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"openai:rerank" => json!({
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"model": model,
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"query": message,
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"documents": [
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"apple",
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"banana",
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"fruit",
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"vegetable"
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],
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"return_documents": true,
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"top_n": 4,
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}),
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"openai:responses" | "openai:responses:compact" => json!({
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"model": model,
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"input": message,
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@@ -649,6 +665,21 @@ fn provider_query_insert_default_test_conversation(
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let message = provider_query_extract_message(payload)
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.unwrap_or_else(|| DEFAULT_PROVIDER_QUERY_TEST_MESSAGE.to_string());
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match client_api_format {
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"openai:embedding" => {
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object.insert("input".to_string(), Value::String(message));
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}
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"openai:rerank" => {
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object.insert("query".to_string(), Value::String(message));
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object
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.entry("documents".to_string())
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.or_insert_with(|| json!(["apple", "banana", "fruit", "vegetable"]));
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object
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.entry("return_documents".to_string())
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.or_insert(Value::Bool(true));
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object
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.entry("top_n".to_string())
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.or_insert_with(|| Value::from(4_u64));
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}
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"openai:responses" | "openai:responses:compact" => {
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object.insert("input".to_string(), Value::String(message));
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}
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@@ -2920,8 +2951,13 @@ async fn provider_query_execute_standard_test_candidate(
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);
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provider_request_body
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}
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"openai:embedding" | "gemini:embedding" | "jina:embedding" | "doubao:embedding"
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| "openai:rerank" | "jina:rerank" => {
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"openai:embedding"
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| "gemini:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank" => {
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let Some(mut provider_request_body) =
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crate::ai_serving::build_standard_request_body_with_model_directives_and_request_headers(
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&request_body,
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@@ -3051,6 +3087,7 @@ async fn provider_query_execute_standard_test_candidate(
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| "gemini:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank" => state.resolve_local_oauth_header_auth(&transport).await?,
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_ => None,
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@@ -3062,6 +3099,7 @@ async fn provider_query_execute_standard_test_candidate(
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| "openai:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank" => {
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crate::provider_transport::auth::resolve_local_openai_bearer_auth(&transport)
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@@ -74,6 +74,7 @@ pub(super) fn provider_query_standard_test_unsupported_reason(
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| "openai:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank" => {
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crate::provider_transport::policy::local_standard_transport_unsupported_reason_with_network(
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@@ -253,6 +254,7 @@ pub(super) fn provider_query_test_adapter_for_provider_api_format(
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| "gemini:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank"
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) {
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@@ -352,6 +354,7 @@ pub(super) fn provider_query_transport_supports_model_test_execution(
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| "openai:embedding"
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| "jina:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding"
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| "openai:rerank"
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| "jina:rerank" => {
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crate::provider_transport::policy::supports_local_standard_transport_with_network(
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@@ -138,6 +138,12 @@ fn provider_query_endpoint_route_payload(
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"embeddings",
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"openai_batch",
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),
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"aliyun:multimodal_embedding" => (
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"Aliyun DashScope",
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"dashscope_native",
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"multimodal-embedding",
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"dashscope_contents",
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),
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"openai:chat" if is_vertex && is_openai_compat => (
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"Vertex AI OpenAI-compatible",
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"openai_compatible",
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@@ -470,6 +470,26 @@ fn provider_query_compact_test_request_body_defaults_to_responses_input() {
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assert!(body.get("messages").is_none());
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}
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#[test]
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fn provider_query_embedding_test_request_body_defaults_to_embedding_input() {
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let payload = json!({"message": "hello from embedding"});
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let client_api_format =
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provider_query_standard_test_client_api_format("aliyun:multimodal_embedding");
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let body = provider_query_build_test_request_body_for_api_format(
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&payload,
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"qwen3-vl-embedding",
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"/api/admin/provider-query/test-model",
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client_api_format,
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);
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assert_eq!(client_api_format, "openai:embedding");
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assert_eq!(body["model"], json!("qwen3-vl-embedding"));
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assert_eq!(body["input"], json!("hello from embedding"));
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assert!(body.get("messages").is_none());
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assert!(body.get("stream").is_none());
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}
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#[test]
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fn provider_query_compact_test_request_body_promotes_prompt_to_input() {
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let payload = json!({
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@@ -658,6 +678,13 @@ fn provider_query_test_adapter_routes_fixed_provider_endpoint_types() {
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provider_query_test_adapter_for_provider_api_format("custom", "gemini:embedding"),
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Some(ProviderQueryTestAdapter::Standard)
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);
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assert_eq!(
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provider_query_test_adapter_for_provider_api_format(
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"aliyun",
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"aliyun:multimodal_embedding"
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),
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Some(ProviderQueryTestAdapter::Standard)
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);
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assert_eq!(
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provider_query_test_adapter_for_provider_api_format("jina", "jina:rerank"),
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Some(ProviderQueryTestAdapter::Standard)
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@@ -522,12 +522,45 @@ fn embedding_array_input_is_non_empty(items: &[Value]) -> bool {
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item.as_array()
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.is_some_and(|items| embedding_token_array_is_non_empty(items))
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})
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|| items.iter().all(embedding_multimodal_content_is_non_empty)
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}
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fn embedding_token_array_is_non_empty(items: &[Value]) -> bool {
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!items.is_empty() && items.iter().all(|item| item.as_u64().is_some())
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}
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fn embedding_multimodal_content_is_non_empty(value: &Value) -> bool {
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let Some(object) = value.as_object() else {
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return false;
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};
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let valid_text = object
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.get("text")
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.map(|value| value.as_str().is_some_and(|text| !text.trim().is_empty()));
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let valid_image = object
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.get("image")
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.map(|value| value.as_str().is_some_and(|image| !image.trim().is_empty()));
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let valid_video = object
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.get("video")
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.map(|value| value.as_str().is_some_and(|video| !video.trim().is_empty()));
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let valid_multi_images = object.get("multi_images").map(|value| {
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value.as_array().is_some_and(|items| {
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!items.is_empty()
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&& items
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.iter()
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.all(|item| item.as_str().is_some_and(|image| !image.trim().is_empty()))
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})
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});
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[valid_text, valid_image, valid_video, valid_multi_images]
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.into_iter()
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.flatten()
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.all(|valid| valid)
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&& [valid_text, valid_image, valid_video, valid_multi_images]
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.into_iter()
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.flatten()
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.any(|valid| valid)
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}
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fn image_request_count(value: &Value) -> Option<u64> {
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value
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.as_u64()
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@@ -25,6 +25,7 @@ pub(crate) fn models_api_format(request_context: &GatewayPublicRequestContext) -
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"jina:embedding" => Some("jina:embedding"),
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"jina:rerank" => Some("jina:rerank"),
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"doubao:embedding" => Some("doubao:embedding"),
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"aliyun:multimodal_embedding" => Some("aliyun:multimodal_embedding"),
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_ => None,
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}
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}
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@@ -43,6 +44,7 @@ const MODELS_EMBEDDING_QUERY_API_FORMATS: &[&str] = &[
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"jina:embedding",
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"gemini:embedding",
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"doubao:embedding",
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"aliyun:multimodal_embedding",
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];
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const MODELS_RERANK_QUERY_API_FORMATS: &[&str] = &["openai:rerank", "jina:rerank"];
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@@ -54,9 +56,11 @@ pub(super) fn models_query_api_formats(api_format: &str) -> &'static [&'static s
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| "claude:messages"
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| "gemini:generate_content" => MODELS_CROSS_FORMAT_QUERY_API_FORMATS,
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"openai:image" => &["openai:image"],
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"openai:embedding" | "jina:embedding" | "gemini:embedding" | "doubao:embedding" => {
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MODELS_EMBEDDING_QUERY_API_FORMATS
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}
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"openai:embedding"
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| "jina:embedding"
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| "gemini:embedding"
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| "doubao:embedding"
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| "aliyun:multimodal_embedding" => MODELS_EMBEDDING_QUERY_API_FORMATS,
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"openai:rerank" | "jina:rerank" => MODELS_RERANK_QUERY_API_FORMATS,
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_ => &[],
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}
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