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Add Codex CLI support; xAI response improvements
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parent
a1508f4de1
commit
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18 changed files with 1252 additions and 166 deletions
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@ -4,9 +4,9 @@ use common::consts::{
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ARCH_IS_STREAMING_HEADER, ARCH_PROVIDER_HINT_HEADER, REQUEST_ID_HEADER, TRACE_PARENT_HEADER,
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};
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use common::llm_providers::LlmProviders;
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use hermesllm::apis::openai_responses::InputParam;
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use hermesllm::apis::openai_responses::{InputParam, ResponsesAPIRequest, Tool as ResponsesTool};
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use hermesllm::clients::{SupportedAPIsFromClient, SupportedUpstreamAPIs};
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use hermesllm::{ProviderRequest, ProviderRequestType};
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use hermesllm::{ProviderId, ProviderRequest, ProviderRequestType};
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use http_body_util::combinators::BoxBody;
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use http_body_util::BodyExt;
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use hyper::header::{self};
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@ -184,6 +184,7 @@ async fn llm_chat_inner(
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let temperature = client_request.get_temperature();
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let is_streaming_request = client_request.is_streaming();
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let alias_resolved_model = resolve_model_alias(&model_from_request, &model_aliases);
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let (provider_id, _) = get_provider_info(&llm_providers, &alias_resolved_model).await;
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// Validate that the requested model exists in configuration
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// This matches the validation in llm_gateway routing.rs
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@ -235,6 +236,11 @@ async fn llm_chat_inner(
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if client_request.remove_metadata_key("plano_preference_config") {
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debug!("removed plano_preference_config from metadata");
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}
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if provider_id == ProviderId::XAI {
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if let ProviderRequestType::ResponsesAPIRequest(ref mut responses_req) = client_request {
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normalize_responses_tools_for_xai(responses_req);
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}
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}
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// === v1/responses state management: Determine upstream API and combine input if needed ===
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// Do this BEFORE routing since routing consumes the request
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@ -551,3 +557,89 @@ async fn get_provider_info(
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(hermesllm::ProviderId::OpenAI, None)
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}
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}
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fn normalize_xai_responses_tool(tool: ResponsesTool, idx: usize) -> ResponsesTool {
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match tool {
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ResponsesTool::Custom {
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name, description, ..
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} => ResponsesTool::Function {
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name: name.unwrap_or_else(|| format!("custom_tool_{}", idx + 1)),
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description,
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parameters: Some(serde_json::json!({
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"type": "object",
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"properties": {
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"input": { "type": "string" }
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},
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"required": ["input"],
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"additionalProperties": true
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})),
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strict: Some(false),
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},
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other => other,
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}
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}
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fn normalize_responses_tools_for_xai(req: &mut ResponsesAPIRequest) {
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if let Some(tools) = req.tools.take() {
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req.tools = Some(
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tools
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.into_iter()
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.enumerate()
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.map(|(idx, tool)| normalize_xai_responses_tool(tool, idx))
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.collect(),
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);
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}
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}
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#[cfg(test)]
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mod tests {
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use super::{normalize_xai_responses_tool, ResponsesTool};
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#[test]
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fn test_normalize_xai_custom_tool_to_function() {
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let normalized = normalize_xai_responses_tool(
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ResponsesTool::Custom {
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name: Some("run_patch".to_string()),
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description: Some("Apply patch text".to_string()),
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format: Some(serde_json::json!({"kind":"patch","version":"v1"})),
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},
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0,
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);
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match normalized {
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ResponsesTool::Function {
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name,
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description,
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parameters,
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strict,
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} => {
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assert_eq!(name, "run_patch");
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assert_eq!(description.as_deref(), Some("Apply patch text"));
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assert!(parameters.is_some());
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assert_eq!(strict, Some(false));
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}
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_ => panic!("expected function tool after xAI normalization"),
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}
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}
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#[test]
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fn test_normalize_xai_non_custom_tool_unchanged() {
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let normalized = normalize_xai_responses_tool(
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ResponsesTool::Function {
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name: "search_docs".to_string(),
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description: Some("Search docs".to_string()),
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parameters: Some(serde_json::json!({"type":"object"})),
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strict: Some(true),
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},
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1,
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);
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match normalized {
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ResponsesTool::Function { name, strict, .. } => {
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assert_eq!(name, "search_docs");
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assert_eq!(strict, Some(true));
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}
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_ => panic!("expected function tool to remain unchanged"),
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}
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}
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}
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@ -130,6 +130,7 @@ pub fn extract_input_items(input: &InputParam) -> Vec<InputItem> {
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}]),
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})]
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}
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InputParam::SingleItem(item) => vec![item.clone()],
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InputParam::Items(items) => items.clone(),
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}
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}
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