Files
Aether/crates/aether-ai-serving/src/surface_spec.rs
2026-05-02 18:19:39 +08:00

237 lines
7.6 KiB
Rust

use aether_ai_formats::api::{
LocalGeminiFilesSpec, LocalOpenAiImageSpec, LocalOpenAiResponsesSpec,
LocalSameFormatProviderFamily, LocalSameFormatProviderSpec, LocalStandardSourceFamily,
LocalStandardSpec, LocalVideoCreateFamily, LocalVideoCreateSpec,
};
use serde_json::Value;
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AiRequestedModelFamily {
Standard,
Gemini,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub struct AiExecutionSurfaceSpecMetadata {
pub api_format: &'static str,
pub decision_kind: &'static str,
pub report_kind: Option<&'static str>,
pub require_streaming: bool,
pub requested_model_family: Option<AiRequestedModelFamily>,
}
pub const fn ai_requested_model_family_for_standard_source(
family: LocalStandardSourceFamily,
) -> AiRequestedModelFamily {
match family {
LocalStandardSourceFamily::Standard => AiRequestedModelFamily::Standard,
LocalStandardSourceFamily::Gemini => AiRequestedModelFamily::Gemini,
}
}
pub const fn ai_standard_spec_metadata(spec: LocalStandardSpec) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: spec.api_format,
decision_kind: spec.decision_kind,
report_kind: Some(spec.report_kind),
require_streaming: spec.require_streaming,
requested_model_family: Some(ai_requested_model_family_for_standard_source(spec.family)),
}
}
pub const fn ai_same_format_provider_spec_metadata(
spec: LocalSameFormatProviderSpec,
) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: spec.api_format,
decision_kind: spec.decision_kind,
report_kind: Some(spec.report_kind),
require_streaming: spec.require_streaming,
requested_model_family: Some(ai_requested_model_family_for_same_format_provider(
spec.family,
)),
}
}
pub const fn ai_openai_responses_spec_metadata(
spec: LocalOpenAiResponsesSpec,
) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: spec.api_format,
decision_kind: spec.decision_kind,
report_kind: Some(spec.report_kind),
require_streaming: spec.require_streaming,
requested_model_family: None,
}
}
pub const fn ai_gemini_files_spec_metadata(
spec: LocalGeminiFilesSpec,
) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: "gemini:files",
decision_kind: spec.decision_kind,
report_kind: spec.report_kind,
require_streaming: spec.require_streaming,
requested_model_family: None,
}
}
pub const fn ai_openai_image_spec_metadata(
spec: LocalOpenAiImageSpec,
) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: spec.api_format,
decision_kind: spec.decision_kind,
report_kind: Some(spec.report_kind),
require_streaming: spec.require_streaming,
requested_model_family: Some(AiRequestedModelFamily::Standard),
}
}
pub const fn ai_video_create_spec_metadata(
spec: LocalVideoCreateSpec,
) -> AiExecutionSurfaceSpecMetadata {
AiExecutionSurfaceSpecMetadata {
api_format: spec.api_format,
decision_kind: spec.decision_kind,
report_kind: Some(spec.report_kind),
require_streaming: false,
requested_model_family: Some(ai_requested_model_family_for_video_create(spec.family)),
}
}
pub const fn ai_requested_model_family_for_same_format_provider(
family: LocalSameFormatProviderFamily,
) -> AiRequestedModelFamily {
match family {
LocalSameFormatProviderFamily::Standard => AiRequestedModelFamily::Standard,
LocalSameFormatProviderFamily::Gemini => AiRequestedModelFamily::Gemini,
}
}
pub const fn ai_requested_model_family_for_video_create(
family: LocalVideoCreateFamily,
) -> AiRequestedModelFamily {
match family {
LocalVideoCreateFamily::OpenAi => AiRequestedModelFamily::Standard,
LocalVideoCreateFamily::Gemini => AiRequestedModelFamily::Gemini,
}
}
pub fn extract_ai_gemini_model_from_path(path: &str) -> Option<String> {
let (_, suffix) = path.split_once("/models/")?;
let model = suffix
.split_once(':')
.map(|(value, _)| value)
.unwrap_or(suffix);
let model = model.trim();
if model.is_empty() {
None
} else {
Some(model.to_string())
}
}
pub fn extract_ai_standard_requested_model(body_json: &Value) -> Option<String> {
body_json
.get("model")
.and_then(Value::as_str)
.map(str::trim)
.filter(|value| !value.is_empty())
.map(ToOwned::to_owned)
}
pub fn extract_ai_requested_model_from_request_path(
request_path: &str,
body_json: &Value,
family: AiRequestedModelFamily,
) -> Option<String> {
match family {
AiRequestedModelFamily::Standard => extract_ai_standard_requested_model(body_json),
AiRequestedModelFamily::Gemini => extract_ai_gemini_model_from_path(request_path),
}
}
#[cfg(test)]
mod tests {
use super::*;
use aether_ai_formats::api::{LocalStandardSourceMode, OPENAI_CHAT_SYNC_SUCCESS_REPORT_KIND};
#[test]
fn standard_spec_metadata_maps_model_family_and_report_kind() {
let metadata = ai_standard_spec_metadata(LocalStandardSpec {
mode: LocalStandardSourceMode::Chat,
family: LocalStandardSourceFamily::Standard,
api_format: "openai:chat",
decision_kind: "openai_chat_sync",
report_kind: OPENAI_CHAT_SYNC_SUCCESS_REPORT_KIND,
require_streaming: false,
});
assert_eq!(metadata.api_format, "openai:chat");
assert_eq!(
metadata.requested_model_family,
Some(AiRequestedModelFamily::Standard)
);
}
#[test]
fn video_spec_metadata_maps_gemini_family_without_stream_requirement() {
let metadata = ai_video_create_spec_metadata(LocalVideoCreateSpec {
family: LocalVideoCreateFamily::Gemini,
api_format: "gemini:video",
decision_kind: "gemini_video_create",
report_kind: "gemini_video_create_success",
});
assert!(!metadata.require_streaming);
assert_eq!(
metadata.requested_model_family,
Some(AiRequestedModelFamily::Gemini)
);
}
#[test]
fn gemini_model_path_parser_trims_method_suffix() {
let model = extract_ai_gemini_model_from_path(
"/v1beta/models/gemini-2.5-pro:streamGenerateContent",
);
assert_eq!(model.as_deref(), Some("gemini-2.5-pro"));
}
#[test]
fn standard_requested_model_parser_reads_request_body_model() {
let requested_model = extract_ai_standard_requested_model(
&serde_json::json!({ "model": " claude-sonnet-4 " }),
);
assert_eq!(requested_model.as_deref(), Some("claude-sonnet-4"));
}
#[test]
fn requested_model_parser_delegates_by_family() {
let body = serde_json::json!({ "model": " claude-sonnet-4 " });
assert_eq!(
extract_ai_requested_model_from_request_path(
"/v1/chat/completions",
&body,
AiRequestedModelFamily::Standard,
)
.as_deref(),
Some("claude-sonnet-4")
);
assert_eq!(
extract_ai_requested_model_from_request_path(
"/v1beta/models/gemini-2.5-pro:generateContent",
&serde_json::json!({}),
AiRequestedModelFamily::Gemini,
)
.as_deref(),
Some("gemini-2.5-pro")
);
}
}