mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-08 10:27:46 +08:00
feat(gateway): persist OpenAI Responses continuation history
This commit is contained in:
@@ -584,6 +584,14 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
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return Ok(None);
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}
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};
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crate::ai_serving::hydrate_openai_response_history(
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state.runtime_state(),
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body_json,
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spec_metadata.api_format,
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provider_api_format,
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input.auth_context.api_key_id.as_str(),
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)
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.await?;
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let redaction = resolve_provider_chat_pii_redaction(
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state,
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parts,
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@@ -3,7 +3,7 @@ use serde_json::Value;
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use crate::ai_serving::transport::apply_standard_provider_request_body_rules_with_request_headers;
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use crate::ai_serving::{
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apply_openai_responses_compact_special_body_edits,
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build_cross_format_openai_responses_request_body_with_model_directives as surface_build_cross_format_openai_responses_request_body,
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build_cross_format_openai_responses_request_body_with_model_directives_and_history_scope as surface_build_cross_format_openai_responses_request_body,
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build_local_openai_responses_request_body_with_model_directives as surface_build_local_openai_responses_request_body,
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GatewayProviderTransportSnapshot,
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};
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@@ -105,7 +105,7 @@ pub(crate) fn build_cross_format_openai_responses_request_body(
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force_body_stream_field: bool,
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provider_type: &str,
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body_rules: Option<&Value>,
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_user_api_key_id: Option<&str>,
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user_api_key_id: Option<&str>,
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request_headers: &http::HeaderMap,
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enable_model_directives: bool,
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) -> Option<Value> {
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@@ -119,6 +119,7 @@ pub(crate) fn build_cross_format_openai_responses_request_body(
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provider_type,
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body_rules,
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request_headers,
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user_api_key_id,
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None,
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enable_model_directives,
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)
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@@ -134,6 +135,7 @@ pub(crate) fn build_cross_format_openai_responses_request_body_with_codex_model_
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provider_type: &str,
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body_rules: Option<&Value>,
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request_headers: &http::HeaderMap,
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history_scope: Option<&str>,
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model_capabilities: Option<&crate::ai_serving::CodexResponsesModelCapabilities>,
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enable_model_directives: bool,
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) -> Option<Value> {
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@@ -144,6 +146,7 @@ pub(crate) fn build_cross_format_openai_responses_request_body_with_codex_model_
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provider_api_format,
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upstream_is_stream,
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enable_model_directives,
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history_scope,
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)?;
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let mut provider_request_body =
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apply_standard_provider_request_body_rules_with_request_headers(
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+104
@@ -82,6 +82,96 @@ fn is_grok_text_provider_api_format(provider_api_format: &str) -> bool {
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)
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}
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fn response_function_tool_names(body: &Value) -> Vec<String> {
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body.get("tools")
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.and_then(Value::as_array)
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.into_iter()
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.flatten()
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.filter(|tool| tool.get("type").and_then(Value::as_str) == Some("function"))
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.filter_map(|tool| tool.get("name").and_then(Value::as_str))
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.map(ToOwned::to_owned)
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.collect()
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}
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fn chat_function_tool_names(body: &Value) -> Vec<String> {
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body.get("tools")
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.and_then(Value::as_array)
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.into_iter()
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.flatten()
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.filter_map(|tool| {
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tool.get("function")
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.and_then(|function| function.get("name"))
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.and_then(Value::as_str)
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})
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.map(ToOwned::to_owned)
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.collect()
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}
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fn response_input_call_ids(body: &Value) -> Vec<String> {
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body.get("input")
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.and_then(Value::as_array)
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.into_iter()
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.flatten()
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.filter(|item| {
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matches!(
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item.get("type").and_then(Value::as_str),
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Some("function_call" | "function_call_output")
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)
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})
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.filter_map(|item| item.get("call_id").and_then(Value::as_str))
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.map(ToOwned::to_owned)
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.collect()
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}
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fn chat_message_call_ids(body: &Value) -> Vec<String> {
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let mut call_ids = Vec::new();
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for message in body
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.get("messages")
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.and_then(Value::as_array)
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.into_iter()
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.flatten()
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{
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if let Some(tool_calls) = message.get("tool_calls").and_then(Value::as_array) {
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call_ids.extend(
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tool_calls
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.iter()
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.filter_map(|tool_call| tool_call.get("id").and_then(Value::as_str))
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.map(ToOwned::to_owned),
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);
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}
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if let Some(tool_call_id) = message.get("tool_call_id").and_then(Value::as_str) {
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call_ids.push(tool_call_id.to_string());
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}
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}
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call_ids
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}
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fn log_responses_to_chat_tool_conversion(trace_id: &str, inbound: &Value, outbound: &Value) {
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let inbound_tool_names = response_function_tool_names(inbound);
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let outbound_tool_names = chat_function_tool_names(outbound);
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let inbound_call_ids = response_input_call_ids(inbound);
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let outbound_call_ids = chat_message_call_ids(outbound);
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let previous_response_id = inbound
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.get("previous_response_id")
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.and_then(Value::as_str)
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.unwrap_or_default();
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debug!(
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event_name = "openai_responses_to_chat_tool_conversion",
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log_type = "debug",
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trace_id = %trace_id,
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inbound_tool_count = inbound_tool_names.len(),
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outbound_tool_count = outbound_tool_names.len(),
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inbound_tool_names = ?inbound_tool_names,
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outbound_tool_names = ?outbound_tool_names,
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previous_response_id = %previous_response_id,
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inbound_call_ids = ?inbound_call_ids,
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outbound_call_ids = ?outbound_call_ids,
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history_recovered = !previous_response_id.is_empty()
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&& outbound_call_ids.iter().any(|call_id| inbound_call_ids.contains(call_id)),
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"converted OpenAI Responses tools and continuation context to OpenAI Chat"
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);
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}
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pub(crate) struct LocalOpenAiResponsesCandidatePayloadParts {
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pub(super) auth_header: String,
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pub(super) auth_value: String,
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@@ -306,6 +396,14 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
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return Ok(None);
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}
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};
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crate::ai_serving::hydrate_openai_response_history(
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state.runtime_state(),
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body_json,
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spec_metadata.api_format,
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provider_api_format,
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input.auth_context.api_key_id.as_str(),
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)
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.await?;
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let redaction = resolve_provider_chat_pii_redaction(
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state,
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parts,
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@@ -367,6 +465,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
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transport.endpoint.body_rules.as_ref()
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},
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effective_headers,
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Some(input.auth_context.api_key_id.as_str()),
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codex_model_capabilities.as_ref(),
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false,
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)
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@@ -471,6 +570,11 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
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.await;
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return Ok(None);
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}
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if needs_bidirectional_conversion
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&& crate::ai_serving::api_format_alias_matches(provider_api_format, "openai:chat")
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{
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log_responses_to_chat_tool_conversion(trace_id, body_json, &base_provider_request_body);
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}
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let provider_request_body = base_provider_request_body;
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if let Some(kiro_auth) = kiro_auth.as_ref() {
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