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+dependencies = [
+ "simd-adler32",
+]
+
+[[package]]
+name = "zune-jpeg"
+version = "0.5.15"
+source = "registry+https://github.com/rust-lang/crates.io-index"
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diff --git a/sgl-model-gateway/Cargo.toml b/sgl-model-gateway/Cargo.toml
index 12b06d94172e..6498b108a967 100644
--- a/sgl-model-gateway/Cargo.toml
+++ b/sgl-model-gateway/Cargo.toml
@@ -205,3 +205,6 @@ codegen-units = 1
 [profile.dev-opt]
 inherits = "dev"
 opt-level = 1
+
+[patch.crates-io]
+openai-protocol = { path = "vendor/openai-protocol" }
diff --git a/sgl-model-gateway/src/chat_protocol_tests.rs b/sgl-model-gateway/src/chat_protocol_tests.rs
new file mode 100644
index 000000000000..76dc8d0e22f9
--- /dev/null
+++ b/sgl-model-gateway/src/chat_protocol_tests.rs
@@ -0,0 +1,78 @@
+#[cfg(test)]
+mod tests {
+    use openai_protocol::{chat::ChatCompletionRequest, validated::Normalizable};
+    use validator::Validate;
+    use serde_json::json;
+
+    fn request(top_logprobs: u32) -> ChatCompletionRequest {
+        serde_json::from_value(json!({
+            "model": "test",
+            "messages": [{"role": "user", "content": "hello"}],
+            "logprobs": true,
+            "top_logprobs": top_logprobs
+        }))
+        .unwrap()
+    }
+
+    #[test]
+    fn accepts_extended_head_without_modifying_request() {
+        for count in [0, 16, 20, 21, 128] {
+            let mut body = request(count);
+            body.normalize();
+            assert!(body.validate().is_ok(), "{count}");
+            assert_eq!(
+                serde_json::to_value(&body).unwrap()["top_logprobs"],
+                count
+            );
+        }
+    }
+
+    #[test]
+    fn rejects_head_above_backend_limit() {
+        for count in [129, u32::MAX] {
+            let errors = request(count).validate().unwrap_err();
+            assert!(errors.field_errors().contains_key("top_logprobs"));
+        }
+    }
+
+    #[test]
+    fn preserves_other_protocol_validation() {
+        let mut body = request(128);
+        body.temperature = Some(3.0);
+        let errors = body.validate().unwrap_err();
+        assert!(errors.field_errors().contains_key("temperature"));
+    }
+
+    #[test]
+    fn optional_head_and_invalid_json_types() {
+        let value = json!({"model":"test","messages":[{"role":"user","content":"hello"}]});
+        let body: ChatCompletionRequest = serde_json::from_value(value.clone()).unwrap();
+        assert!(body.validate().is_ok());
+        for bad in [json!(-1), json!(1.5), json!("128")] {
+            let mut value = value.clone();
+            value["top_logprobs"] = bad;
+            assert!(serde_json::from_value::<ChatCompletionRequest>(value).is_err());
+        }
+    }
+    #[test]
+    fn preserves_session_extensions() {
+        let mut value = serde_json::to_value(request(128)).unwrap();
+        value["input_ids"] = json!([1, 2, 3]);
+        value["return_meta_info"] = json!(true);
+        let mut body: ChatCompletionRequest = serde_json::from_value(value).unwrap();
+        body.normalize();
+        assert!(body.validate().is_ok());
+        let outgoing = serde_json::to_value(body).unwrap();
+        assert_eq!(outgoing["input_ids"], json!([1, 2, 3]));
+        assert_eq!(outgoing["return_meta_info"], json!(true));
+        assert_eq!(outgoing["top_logprobs"], json!(128));
+    }
+
+    #[test]
+    fn requires_logprobs_for_extended_head() {
+        let mut body = request(128);
+        body.logprobs = false;
+        assert!(body.validate().is_err());
+    }
+
+}
diff --git a/sgl-model-gateway/src/lib.rs b/sgl-model-gateway/src/lib.rs
index 9f92b12ec6fd..dc5161ff5287 100644
--- a/sgl-model-gateway/src/lib.rs
+++ b/sgl-model-gateway/src/lib.rs
@@ -1,3 +1,5 @@
+#[cfg(test)]
+mod chat_protocol_tests;
 pub mod app_context;
 pub use smg_auth as auth;
 pub mod config;
diff --git a/sgl-model-gateway/vendor/README.md b/sgl-model-gateway/vendor/README.md
new file mode 100644
index 000000000000..6250a8215cca
--- /dev/null
+++ b/sgl-model-gateway/vendor/README.md
@@ -0,0 +1 @@
+openai-protocol 1.0.0 is vendored from crates.io under Apache-2.0. Local changes extend the chat top_logprobs maximum to128 and preserve input_ids and return_meta_info so session clients retain exact tokenization and replay metadata. Validation remains in the schema, including cross-field checks. All other protocol fields remain unchanged.
diff --git a/sgl-model-gateway/vendor/openai-protocol/Cargo.toml b/sgl-model-gateway/vendor/openai-protocol/Cargo.toml
new file mode 100644
index 000000000000..bb97a44d9ea9
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/Cargo.toml
@@ -0,0 +1,77 @@
+# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
+#
+# When uploading crates to the registry Cargo will automatically
+# "normalize" Cargo.toml files for maximal compatibility
+# with all versions of Cargo and also rewrite `path` dependencies
+# to registry (e.g., crates.io) dependencies.
+#
+# If you are reading this file be aware that the original Cargo.toml
+# will likely look very different (and much more reasonable).
+# See Cargo.toml.orig for the original contents.
+
+[package]
+edition = "2021"
+name = "openai-protocol"
+version = "1.0.0"
+authors = [
+    "Simo Lin <linsimo.mark@gmail.com>",
+    "Chang Su <mckvtl@gmail.com>",
+    "Keyang Ru <rukeyang@gmail.com>",
+]
+build = false
+autolib = false
+autobins = false
+autoexamples = false
+autotests = false
+autobenches = false
+description = "OpenAI-compatible API protocol definitions and types"
+readme = false
+keywords = [
+    "openai",
+    "llm",
+    "api",
+    "protocol",
+    "types",
+]
+categories = [
+    "api-bindings",
+    "data-structures",
+]
+license = "Apache-2.0"
+repository = "https://github.com/lightseekorg/smg"
+
+[features]
+axum = ["dep:axum"]
+default = []
+
+[lib]
+name = "openai_protocol"
+path = "src/lib.rs"
+
+[dependencies.axum]
+version = "0.8.6"
+optional = true
+
+[dependencies.chrono]
+version = "0.4"
+
+[dependencies.rand]
+version = "0.9.2"
+
+[dependencies.serde]
+version = "1.0"
+features = ["derive"]
+
+[dependencies.serde_json]
+version = "1.0"
+features = ["preserve_order"]
+
+[dependencies.tokio]
+version = "1.42.0"
+
+[dependencies.tracing]
+version = "0.1"
+
+[dependencies.validator]
+version = "0.20.0"
+features = ["derive"]
diff --git a/sgl-model-gateway/vendor/openai-protocol/Cargo.toml.orig b/sgl-model-gateway/vendor/openai-protocol/Cargo.toml.orig
new file mode 100644
index 000000000000..590898e0f9ea
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/Cargo.toml.orig
@@ -0,0 +1,29 @@
+[package]
+name = "openai-protocol"
+version = "1.0.0"
+edition = "2021"
+description = "OpenAI-compatible API protocol definitions and types"
+license = "Apache-2.0"
+repository = "https://github.com/lightseekorg/smg"
+authors = [
+    "Simo Lin <linsimo.mark@gmail.com>",
+    "Chang Su <mckvtl@gmail.com>",
+    "Keyang Ru <rukeyang@gmail.com>",
+]
+keywords = ["openai", "llm", "api", "protocol", "types"]
+categories = ["api-bindings", "data-structures"]
+
+[features]
+default = []
+axum = ["dep:axum"]
+
+[dependencies]
+axum = { workspace = true, optional = true }
+chrono.workspace = true
+rand.workspace = true
+serde = { workspace = true, features = ["derive"] }
+serde_json = { workspace = true, features = ["preserve_order"] }
+tokio.workspace = true
+tracing.workspace = true
+# Only used by protocols
+validator = { version = "0.20.0", features = ["derive"] }
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/mod.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/mod.rs
new file mode 100644
index 000000000000..61386b505c91
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/mod.rs
@@ -0,0 +1,7 @@
+//! Builders for Chat Completion API response types
+
+pub mod response;
+pub mod stream_response;
+
+pub use response::ChatCompletionResponseBuilder;
+pub use stream_response::ChatCompletionStreamResponseBuilder;
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/response.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/response.rs
new file mode 100644
index 000000000000..3362078c51e5
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/response.rs
@@ -0,0 +1,218 @@
+//! Builder for ChatCompletionResponse
+//!
+//! Provides an ergonomic fluent API for constructing chat completion responses.
+
+use crate::{chat::*, common::Usage};
+
+/// Builder for ChatCompletionResponse
+///
+/// Provides a fluent interface for constructing chat completion responses with sensible defaults.
+#[must_use = "Builder does nothing until .build() is called"]
+#[derive(Clone, Debug)]
+pub struct ChatCompletionResponseBuilder {
+    id: String,
+    object: String,
+    created: u64,
+    model: String,
+    choices: Vec<ChatChoice>,
+    usage: Option<Usage>,
+    system_fingerprint: Option<String>,
+}
+
+impl ChatCompletionResponseBuilder {
+    /// Create a new builder with required fields
+    ///
+    /// # Arguments
+    /// - `id`: Completion ID (e.g., "chatcmpl_abc123")
+    /// - `model`: Model name used for generation
+    pub fn new(id: impl Into<String>, model: impl Into<String>) -> Self {
+        Self {
+            id: id.into(),
+            object: "chat.completion".to_string(),
+            created: chrono::Utc::now().timestamp() as u64,
+            model: model.into(),
+            choices: Vec::new(),
+            usage: None,
+            system_fingerprint: None,
+        }
+    }
+
+    /// Copy common fields from a ChatCompletionRequest
+    ///
+    /// This populates the model field from the request.
+    pub fn copy_from_request(mut self, request: &ChatCompletionRequest) -> Self {
+        self.model = request.model.clone();
+        self
+    }
+
+    /// Set the object type (default: "chat.completion")
+    pub fn object(mut self, object: impl Into<String>) -> Self {
+        self.object = object.into();
+        self
+    }
+
+    /// Set the creation timestamp (default: current time)
+    pub fn created(mut self, timestamp: u64) -> Self {
+        self.created = timestamp;
+        self
+    }
+
+    /// Set the choices
+    pub fn choices(mut self, choices: Vec<ChatChoice>) -> Self {
+        self.choices = choices;
+        self
+    }
+
+    /// Add a single choice
+    pub fn add_choice(mut self, choice: ChatChoice) -> Self {
+        self.choices.push(choice);
+        self
+    }
+
+    /// Set usage information
+    pub fn usage(mut self, usage: Usage) -> Self {
+        self.usage = Some(usage);
+        self
+    }
+
+    /// Set usage if provided (handles Option)
+    pub fn maybe_usage(mut self, usage: Option<Usage>) -> Self {
+        if let Some(u) = usage {
+            self.usage = Some(u);
+        }
+        self
+    }
+
+    /// Set system fingerprint if provided (handles Option)
+    pub fn maybe_system_fingerprint(mut self, fingerprint: Option<impl Into<String>>) -> Self {
+        if let Some(fp) = fingerprint {
+            self.system_fingerprint = Some(fp.into());
+        }
+        self
+    }
+
+    /// Build the ChatCompletionResponse
+    pub fn build(self) -> ChatCompletionResponse {
+        ChatCompletionResponse {
+            id: self.id,
+            object: self.object,
+            created: self.created,
+            model: self.model,
+            choices: self.choices,
+            usage: self.usage,
+            system_fingerprint: self.system_fingerprint,
+        }
+    }
+}
+
+// ============================================================================
+// Tests
+// ============================================================================
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_build_minimal() {
+        let response = ChatCompletionResponse::builder("chatcmpl_123", "gpt-4").build();
+
+        assert_eq!(response.id, "chatcmpl_123");
+        assert_eq!(response.model, "gpt-4");
+        assert_eq!(response.object, "chat.completion");
+        assert!(response.choices.is_empty());
+        assert!(response.usage.is_none());
+        assert!(response.system_fingerprint.is_none());
+    }
+
+    #[test]
+    fn test_build_complete() {
+        let choice = ChatChoice {
+            index: 0,
+            message: ChatCompletionMessage {
+                role: "assistant".to_string(),
+                content: Some("Hello!".to_string()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: Some("stop".to_string()),
+            matched_stop: None,
+            hidden_states: None,
+        };
+
+        let usage = Usage {
+            prompt_tokens: 10,
+            completion_tokens: 20,
+            total_tokens: 30,
+            completion_tokens_details: None,
+        };
+
+        let response = ChatCompletionResponse::builder("chatcmpl_456", "gpt-4")
+            .choices(vec![choice.clone()])
+            .maybe_usage(Some(usage))
+            .maybe_system_fingerprint(Some("fp_123abc"))
+            .build();
+
+        assert_eq!(response.id, "chatcmpl_456");
+        assert_eq!(response.choices.len(), 1);
+        assert_eq!(response.choices[0].index, 0);
+        assert!(response.usage.is_some());
+        assert_eq!(response.system_fingerprint.as_ref().unwrap(), "fp_123abc");
+    }
+
+    #[test]
+    fn test_add_multiple_choices() {
+        let choice1 = ChatChoice {
+            index: 0,
+            message: ChatCompletionMessage {
+                role: "assistant".to_string(),
+                content: Some("Option 1".to_string()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: Some("stop".to_string()),
+            matched_stop: None,
+            hidden_states: None,
+        };
+
+        let choice2 = ChatChoice {
+            index: 1,
+            message: ChatCompletionMessage {
+                role: "assistant".to_string(),
+                content: Some("Option 2".to_string()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: Some("stop".to_string()),
+            matched_stop: None,
+            hidden_states: None,
+        };
+
+        let response = ChatCompletionResponse::builder("chatcmpl_789", "gpt-4")
+            .add_choice(choice1)
+            .add_choice(choice2)
+            .build();
+
+        assert_eq!(response.choices.len(), 2);
+        assert_eq!(response.choices[0].index, 0);
+        assert_eq!(response.choices[1].index, 1);
+    }
+
+    #[test]
+    fn test_copy_from_request() {
+        let request = ChatCompletionRequest {
+            messages: vec![],
+            model: "gpt-3.5-turbo".to_string(),
+            ..Default::default()
+        };
+
+        let response = ChatCompletionResponse::builder("chatcmpl_101", "gpt-4")
+            .copy_from_request(&request)
+            .build();
+
+        assert_eq!(response.model, "gpt-3.5-turbo"); // Copied from request
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/stream_response.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/stream_response.rs
new file mode 100644
index 000000000000..85a67b1e1a77
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/chat/stream_response.rs
@@ -0,0 +1,421 @@
+//! Builder for ChatCompletionStreamResponse
+//!
+//! Provides an ergonomic fluent API for constructing streaming chat completion responses.
+
+use std::borrow::Cow;
+
+use crate::{
+    chat::*,
+    common::{FunctionCallDelta, ToolCallDelta, Usage},
+};
+
+/// Builder for ChatCompletionStreamResponse
+///
+/// Provides a fluent interface for constructing streaming chat completion chunks with sensible defaults.
+#[must_use = "Builder does nothing until .build() is called"]
+#[derive(Clone, Debug)]
+pub struct ChatCompletionStreamResponseBuilder {
+    id: String,
+    object: String,
+    created: u64,
+    model: String,
+    choices: Vec<ChatStreamChoice>,
+    usage: Option<Usage>,
+    system_fingerprint: Option<String>,
+}
+
+impl ChatCompletionStreamResponseBuilder {
+    /// Create a new builder with required fields
+    ///
+    /// # Arguments
+    /// - `id`: Completion ID (e.g., "chatcmpl_abc123")
+    /// - `model`: Model name used for generation
+    pub fn new(id: impl Into<String>, model: impl Into<String>) -> Self {
+        Self {
+            id: id.into(),
+            object: "chat.completion.chunk".to_string(),
+            created: chrono::Utc::now().timestamp() as u64,
+            model: model.into(),
+            choices: Vec::new(),
+            usage: None,
+            system_fingerprint: None,
+        }
+    }
+
+    /// Copy common fields from a ChatCompletionRequest
+    ///
+    /// This populates the model field from the request.
+    pub fn copy_from_request(mut self, request: &ChatCompletionRequest) -> Self {
+        self.model = request.model.clone();
+        self
+    }
+
+    /// Set the object type (default: "chat.completion.chunk")
+    pub fn object(mut self, object: impl Into<String>) -> Self {
+        self.object = object.into();
+        self
+    }
+
+    /// Set the creation timestamp (default: current time)
+    pub fn created(mut self, timestamp: u64) -> Self {
+        self.created = timestamp;
+        self
+    }
+
+    /// Set the choices
+    pub fn choices(mut self, choices: Vec<ChatStreamChoice>) -> Self {
+        self.choices = choices;
+        self
+    }
+
+    /// Add a single choice (delta)
+    pub fn add_choice(mut self, choice: ChatStreamChoice) -> Self {
+        self.choices.push(choice);
+        self
+    }
+
+    /// Set usage information (typically sent in final chunk)
+    pub fn usage(mut self, usage: Usage) -> Self {
+        self.usage = Some(usage);
+        self
+    }
+
+    /// Set system fingerprint if provided (handles Option)
+    pub fn maybe_system_fingerprint(mut self, fingerprint: Option<impl Into<String>>) -> Self {
+        if let Some(fp) = fingerprint {
+            self.system_fingerprint = Some(fp.into());
+        }
+        self
+    }
+
+    /// Set usage if provided (handles Option)
+    pub fn maybe_usage(mut self, usage: Option<Usage>) -> Self {
+        if let Some(u) = usage {
+            self.usage = Some(u);
+        }
+        self
+    }
+
+    /// Add a choice delta that sets `role` and `content`
+    pub fn add_choice_content(
+        mut self,
+        index: u32,
+        role: impl Into<String>,
+        content: impl Into<String>,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some(role.into()),
+                content: Some(content.into()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta that sets `role`, `content`, and `logprobs`
+    pub fn add_choice_content_with_logprobs(
+        mut self,
+        index: u32,
+        role: impl Into<String>,
+        content: impl Into<String>,
+        logprobs: Option<crate::common::ChatLogProbs>,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some(role.into()),
+                content: Some(content.into()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta that only sets `role`
+    pub fn add_choice_role(mut self, index: u32, role: impl Into<String>) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some(role.into()),
+                content: None,
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta that appends a tool-call *arguments delta*
+    /// Uses `Cow` so you can pass `&str` or `String` without extra clones
+    pub fn add_choice_tool_args(
+        mut self,
+        index: u32,
+        args_delta: impl Into<Cow<'static, str>>,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some("assistant".to_string()),
+                content: None,
+                tool_calls: Some(vec![ToolCallDelta {
+                    index: 0,
+                    id: None,
+                    tool_type: None,
+                    function: Some(FunctionCallDelta {
+                        name: None,
+                        arguments: Some(args_delta.into().into_owned()),
+                    }),
+                }]),
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta that sets reasoning content (for models that stream reasoning)
+    pub fn add_choice_reasoning(mut self, index: u32, reasoning: impl Into<String>) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some("assistant".to_string()),
+                content: None,
+                tool_calls: None,
+                reasoning_content: Some(reasoning.into()),
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta for tool call with function name and ID
+    pub fn add_choice_tool_name(
+        mut self,
+        index: u32,
+        tool_call_id: impl Into<String>,
+        function_name: impl Into<String>,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some("assistant".to_string()),
+                content: None,
+                tool_calls: Some(vec![ToolCallDelta {
+                    index: 0,
+                    id: Some(tool_call_id.into()),
+                    tool_type: Some("function".to_string()),
+                    function: Some(FunctionCallDelta {
+                        name: Some(function_name.into()),
+                        arguments: None,
+                    }),
+                }]),
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice delta with a pre-constructed ToolCallDelta
+    /// Useful when you already have a ToolCallDelta object to emit
+    pub fn add_choice_tool_call_delta(
+        mut self,
+        index: u32,
+        tool_call_delta: ToolCallDelta,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: Some("assistant".to_string()),
+                content: None,
+                tool_calls: Some(vec![tool_call_delta]),
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        });
+        self
+    }
+
+    /// Add a choice with finish_reason (final chunk)
+    /// This is used for the last chunk in a stream to signal completion
+    pub fn add_choice_finish_reason(
+        mut self,
+        index: u32,
+        finish_reason: impl Into<String>,
+        matched_stop: Option<serde_json::Value>,
+    ) -> Self {
+        self.choices.push(ChatStreamChoice {
+            index,
+            delta: ChatMessageDelta {
+                role: None,
+                content: None,
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: Some(finish_reason.into()),
+            matched_stop,
+        });
+        self
+    }
+
+    /// Build the ChatCompletionStreamResponse
+    pub fn build(self) -> ChatCompletionStreamResponse {
+        ChatCompletionStreamResponse {
+            id: self.id,
+            object: self.object,
+            created: self.created,
+            model: self.model,
+            system_fingerprint: self.system_fingerprint,
+            choices: self.choices,
+            usage: self.usage,
+        }
+    }
+}
+
+// ============================================================================
+// Tests
+// ============================================================================
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_build_minimal() {
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_123", "gpt-4").build();
+
+        assert_eq!(chunk.id, "chatcmpl_123");
+        assert_eq!(chunk.model, "gpt-4");
+        assert_eq!(chunk.object, "chat.completion.chunk");
+        assert!(chunk.choices.is_empty());
+        assert!(chunk.usage.is_none());
+    }
+
+    #[test]
+    fn test_with_content_delta() {
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_456", "gpt-4")
+            .add_choice_content(0, "assistant", "Hello")
+            .build();
+
+        assert_eq!(chunk.choices.len(), 1);
+        assert_eq!(chunk.choices[0].index, 0);
+        assert_eq!(chunk.choices[0].delta.content.as_ref().unwrap(), "Hello");
+        assert_eq!(chunk.choices[0].delta.role.as_ref().unwrap(), "assistant");
+        assert!(chunk.choices[0].finish_reason.is_none());
+    }
+
+    #[test]
+    fn test_with_role_delta() {
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_789", "gpt-4")
+            .add_choice_role(0, "assistant")
+            .build();
+
+        assert_eq!(chunk.choices.len(), 1);
+        assert_eq!(chunk.choices[0].delta.role.as_ref().unwrap(), "assistant");
+        assert!(chunk.choices[0].delta.content.is_none());
+    }
+
+    #[test]
+    fn test_with_finish_reason() {
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_101", "gpt-4")
+            .add_choice_finish_reason(0, "stop", None)
+            .build();
+
+        assert_eq!(chunk.choices.len(), 1);
+        assert_eq!(chunk.choices[0].finish_reason.as_ref().unwrap(), "stop");
+        assert!(chunk.choices[0].delta.content.is_none());
+        assert!(chunk.choices[0].delta.role.is_none());
+    }
+
+    #[test]
+    fn test_multiple_deltas() {
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_202", "gpt-4")
+            .add_choice_role(0, "assistant")
+            .add_choice_content(0, "assistant", "Hello")
+            .add_choice_content(0, "assistant", " world")
+            .add_choice_finish_reason(0, "stop", None)
+            .build();
+
+        assert_eq!(chunk.choices.len(), 4); // role + 2 content + finish
+    }
+
+    #[test]
+    fn test_with_usage() {
+        let usage = Usage {
+            prompt_tokens: 10,
+            completion_tokens: 20,
+            total_tokens: 30,
+            completion_tokens_details: None,
+        };
+
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_303", "gpt-4")
+            .add_choice_finish_reason(0, "stop", None)
+            .usage(usage)
+            .build();
+
+        assert!(chunk.usage.is_some());
+        assert_eq!(chunk.usage.as_ref().unwrap().total_tokens, 30);
+    }
+
+    #[test]
+    fn test_copy_from_request() {
+        let request = ChatCompletionRequest {
+            messages: vec![],
+            model: "gpt-3.5-turbo".to_string(),
+            ..Default::default()
+        };
+
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_404", "gpt-4")
+            .copy_from_request(&request)
+            .add_choice_content(0, "assistant", "test")
+            .build();
+
+        assert_eq!(chunk.model, "gpt-3.5-turbo"); // Copied from request
+    }
+
+    #[test]
+    fn test_add_choice_explicit() {
+        let choice = ChatStreamChoice {
+            index: 0,
+            delta: ChatMessageDelta {
+                role: Some("assistant".to_string()),
+                content: Some("Hello".to_string()),
+                tool_calls: None,
+                reasoning_content: None,
+            },
+            logprobs: None,
+            finish_reason: None,
+            matched_stop: None,
+        };
+
+        let chunk = ChatCompletionStreamResponseBuilder::new("chatcmpl_505", "gpt-4")
+            .add_choice(choice)
+            .build();
+
+        assert_eq!(chunk.choices.len(), 1);
+        assert_eq!(chunk.choices[0].delta.role.as_ref().unwrap(), "assistant");
+        assert_eq!(chunk.choices[0].delta.content.as_ref().unwrap(), "Hello");
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/mod.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/mod.rs
new file mode 100644
index 000000000000..9208441245dc
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/mod.rs
@@ -0,0 +1,27 @@
+//! Builder patterns for protocol response types
+//!
+//! This module provides ergonomic builders for response types with many optional fields.
+//! Builders help avoid telescoping constructors and make construction intent clear.
+//!
+//! # Organization
+//!
+//! Builders are organized by API:
+//! - `chat/` - Chat Completion API builders (response, stream_response)
+//! - `responses/` - Responses API builder (response)
+//!
+//! # Optional Fields
+//!
+//! For optional fields, builders provide `maybe_*` methods that handle `Option<T>` directly:
+//! ```ignore
+//! builder
+//!     .field(value)
+//!     .maybe_optional_field(optional_value)  // Accepts Option<T>
+//!     .build()
+//! ```
+
+pub mod chat;
+pub mod responses;
+
+// Re-export all builders for convenient access
+pub use chat::{ChatCompletionResponseBuilder, ChatCompletionStreamResponseBuilder};
+pub use responses::ResponsesResponseBuilder;
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/mod.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/mod.rs
new file mode 100644
index 000000000000..aca9d2492314
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/mod.rs
@@ -0,0 +1,5 @@
+//! Builders for Responses API response types
+
+pub mod response;
+
+pub use response::ResponsesResponseBuilder;
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/response.rs b/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/response.rs
new file mode 100644
index 000000000000..7db46c3f4528
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/builders/responses/response.rs
@@ -0,0 +1,411 @@
+//! Builder for ResponsesResponse
+//!
+//! Provides an ergonomic fluent API for constructing ResponsesResponse instances.
+
+use std::collections::HashMap;
+
+use serde_json::Value;
+
+use crate::responses::*;
+
+/// Builder for ResponsesResponse
+///
+/// Provides a fluent interface for constructing responses with sensible defaults.
+#[must_use = "Builder does nothing until .build() is called"]
+#[derive(Clone, Debug)]
+pub struct ResponsesResponseBuilder {
+    id: String,
+    object: String,
+    created_at: i64,
+    status: ResponseStatus,
+    error: Option<Value>,
+    incomplete_details: Option<Value>,
+    instructions: Option<String>,
+    max_output_tokens: Option<u32>,
+    model: String,
+    output: Vec<ResponseOutputItem>,
+    parallel_tool_calls: bool,
+    previous_response_id: Option<String>,
+    reasoning: Option<ReasoningInfo>,
+    store: bool,
+    temperature: Option<f32>,
+    text: Option<TextConfig>,
+    tool_choice: String,
+    tools: Vec<ResponseTool>,
+    top_p: Option<f32>,
+    truncation: Option<String>,
+    usage: Option<ResponsesUsage>,
+    user: Option<String>,
+    safety_identifier: Option<String>,
+    metadata: HashMap<String, Value>,
+}
+
+impl ResponsesResponseBuilder {
+    /// Create a new builder with required fields
+    ///
+    /// # Arguments
+    /// - `id`: Response ID (e.g., "resp_abc123")
+    /// - `model`: Model name used for generation
+    pub fn new(id: impl Into<String>, model: impl Into<String>) -> Self {
+        Self {
+            id: id.into(),
+            object: "response".to_string(),
+            created_at: chrono::Utc::now().timestamp(),
+            status: ResponseStatus::InProgress,
+            error: None,
+            incomplete_details: None,
+            instructions: None,
+            max_output_tokens: None,
+            model: model.into(),
+            output: Vec::new(),
+            parallel_tool_calls: true,
+            previous_response_id: None,
+            reasoning: None,
+            store: true,
+            temperature: None,
+            text: None,
+            tool_choice: "auto".to_string(),
+            tools: Vec::new(),
+            top_p: None,
+            truncation: None,
+            usage: None,
+            user: None,
+            safety_identifier: None,
+            metadata: HashMap::new(),
+        }
+    }
+
+    /// Copy common fields from a ResponsesRequest
+    ///
+    /// This populates fields like instructions, max_output_tokens, temperature, etc.
+    /// from the original request, making it easy to construct a response that mirrors
+    /// the request parameters.
+    ///
+    /// Note: `safety_identifier` is intentionally NOT copied as it is for content moderation
+    /// and should be set independently from the request's `user` field (which is for billing/tracking).
+    pub fn copy_from_request(mut self, request: &ResponsesRequest) -> Self {
+        self.instructions = request.instructions.clone();
+        self.max_output_tokens = request.max_output_tokens;
+        self.parallel_tool_calls = request.parallel_tool_calls.unwrap_or(true);
+        self.previous_response_id = request.previous_response_id.clone();
+        self.store = request.store.unwrap_or(true);
+        self.temperature = request.temperature;
+        self.tool_choice = if let Some(ref tc) = request.tool_choice {
+            serde_json::to_string(tc).unwrap_or_else(|_| "auto".to_string())
+        } else {
+            "auto".to_string()
+        };
+        self.tools = request.tools.clone().unwrap_or_default();
+        self.top_p = request.top_p;
+        self.user = request.user.clone();
+        self.metadata = request.metadata.clone().unwrap_or_default();
+        self
+    }
+
+    /// Set the object type (default: "response")
+    pub fn object(mut self, object: impl Into<String>) -> Self {
+        self.object = object.into();
+        self
+    }
+
+    /// Set the creation timestamp (default: current time)
+    pub fn created_at(mut self, timestamp: i64) -> Self {
+        self.created_at = timestamp;
+        self
+    }
+
+    /// Set the response status
+    pub fn status(mut self, status: ResponseStatus) -> Self {
+        self.status = status;
+        self
+    }
+
+    /// Set error information (if status is failed)
+    pub fn error(mut self, error: Value) -> Self {
+        self.error = Some(error);
+        self
+    }
+
+    /// Set incomplete details (if response was truncated)
+    pub fn incomplete_details(mut self, details: Value) -> Self {
+        self.incomplete_details = Some(details);
+        self
+    }
+
+    /// Set system instructions
+    pub fn instructions(mut self, instructions: impl Into<String>) -> Self {
+        self.instructions = Some(instructions.into());
+        self
+    }
+
+    /// Set max output tokens
+    pub fn max_output_tokens(mut self, tokens: u32) -> Self {
+        self.max_output_tokens = Some(tokens);
+        self
+    }
+
+    /// Set output items
+    pub fn output(mut self, output: Vec<ResponseOutputItem>) -> Self {
+        self.output = output;
+        self
+    }
+
+    /// Add a single output item
+    pub fn add_output(mut self, item: ResponseOutputItem) -> Self {
+        self.output.push(item);
+        self
+    }
+
+    /// Set whether parallel tool calls are enabled
+    pub fn parallel_tool_calls(mut self, enabled: bool) -> Self {
+        self.parallel_tool_calls = enabled;
+        self
+    }
+
+    /// Set previous response ID (if continuation)
+    pub fn previous_response_id(mut self, id: impl Into<String>) -> Self {
+        self.previous_response_id = Some(id.into());
+        self
+    }
+
+    /// Set reasoning information
+    pub fn reasoning(mut self, reasoning: ReasoningInfo) -> Self {
+        self.reasoning = Some(reasoning);
+        self
+    }
+
+    /// Set whether the response is stored
+    pub fn store(mut self, store: bool) -> Self {
+        self.store = store;
+        self
+    }
+
+    /// Set temperature setting
+    pub fn temperature(mut self, temperature: f32) -> Self {
+        self.temperature = Some(temperature);
+        self
+    }
+
+    /// Set text format settings if provided (handles Option)
+    pub fn maybe_text(mut self, text: Option<TextConfig>) -> Self {
+        if let Some(t) = text {
+            self.text = Some(t);
+        }
+        self
+    }
+
+    /// Set tool choice setting
+    pub fn tool_choice(mut self, tool_choice: impl Into<String>) -> Self {
+        self.tool_choice = tool_choice.into();
+        self
+    }
+
+    /// Set available tools
+    pub fn tools(mut self, tools: Vec<ResponseTool>) -> Self {
+        self.tools = tools;
+        self
+    }
+
+    /// Set top-p setting
+    pub fn top_p(mut self, top_p: f32) -> Self {
+        self.top_p = Some(top_p);
+        self
+    }
+
+    /// Set truncation strategy
+    pub fn truncation(mut self, truncation: impl Into<String>) -> Self {
+        self.truncation = Some(truncation.into());
+        self
+    }
+
+    /// Set usage information
+    pub fn usage(mut self, usage: ResponsesUsage) -> Self {
+        self.usage = Some(usage);
+        self
+    }
+
+    /// Set usage if provided (handles Option)
+    pub fn maybe_usage(mut self, usage: Option<ResponsesUsage>) -> Self {
+        if let Some(u) = usage {
+            self.usage = Some(u);
+        }
+        self
+    }
+
+    /// Copy from request if provided (handles Option)
+    pub fn maybe_copy_from_request(mut self, request: Option<&ResponsesRequest>) -> Self {
+        if let Some(req) = request {
+            self = self.copy_from_request(req);
+        }
+        self
+    }
+
+    /// Set user identifier
+    pub fn user(mut self, user: impl Into<String>) -> Self {
+        self.user = Some(user.into());
+        self
+    }
+
+    /// Set safety identifier
+    pub fn safety_identifier(mut self, identifier: impl Into<String>) -> Self {
+        self.safety_identifier = Some(identifier.into());
+        self
+    }
+
+    /// Set metadata
+    pub fn metadata(mut self, metadata: HashMap<String, Value>) -> Self {
+        self.metadata = metadata;
+        self
+    }
+
+    /// Add a single metadata entry
+    pub fn add_metadata(mut self, key: impl Into<String>, value: Value) -> Self {
+        self.metadata.insert(key.into(), value);
+        self
+    }
+
+    /// Build the ResponsesResponse
+    pub fn build(self) -> ResponsesResponse {
+        ResponsesResponse {
+            id: self.id,
+            object: self.object,
+            created_at: self.created_at,
+            status: self.status,
+            error: self.error,
+            incomplete_details: self.incomplete_details,
+            instructions: self.instructions,
+            max_output_tokens: self.max_output_tokens,
+            model: self.model,
+            output: self.output,
+            parallel_tool_calls: self.parallel_tool_calls,
+            previous_response_id: self.previous_response_id,
+            reasoning: self.reasoning,
+            store: self.store,
+            temperature: self.temperature,
+            text: self.text,
+            tool_choice: self.tool_choice,
+            tools: self.tools,
+            top_p: self.top_p,
+            truncation: self.truncation,
+            usage: self.usage,
+            user: self.user,
+            safety_identifier: self.safety_identifier,
+            metadata: self.metadata,
+        }
+    }
+}
+
+// ============================================================================
+// Tests
+// ============================================================================
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_build_minimal() {
+        let response = ResponsesResponse::builder("resp_123", "gpt-4").build();
+
+        assert_eq!(response.id, "resp_123");
+        assert_eq!(response.model, "gpt-4");
+        assert_eq!(response.object, "response");
+        assert_eq!(response.status, ResponseStatus::InProgress);
+        assert!(response.output.is_empty());
+        assert!(response.parallel_tool_calls);
+        assert!(response.store);
+    }
+
+    #[test]
+    fn test_build_complete() {
+        let response = ResponsesResponse::builder("resp_123", "gpt-4")
+            .status(ResponseStatus::Completed)
+            .instructions("You are a helpful assistant")
+            .max_output_tokens(1000)
+            .temperature(0.7)
+            .top_p(0.9)
+            .parallel_tool_calls(false)
+            .store(false)
+            .build();
+
+        assert_eq!(response.status, ResponseStatus::Completed);
+        assert_eq!(
+            response.instructions.as_ref().unwrap(),
+            "You are a helpful assistant"
+        );
+        assert_eq!(response.max_output_tokens, Some(1000));
+        assert_eq!(response.temperature, Some(0.7));
+        assert_eq!(response.top_p, Some(0.9));
+        assert!(!response.parallel_tool_calls);
+        assert!(!response.store);
+    }
+
+    #[test]
+    fn test_copy_from_request() {
+        let request = ResponsesRequest {
+            model: "gpt-4".to_string(),
+            input: ResponseInput::Text("test".to_string()),
+            instructions: Some("Be helpful".to_string()),
+            max_output_tokens: Some(500),
+            temperature: Some(0.8),
+            top_p: Some(0.95),
+            parallel_tool_calls: Some(false),
+            store: Some(false),
+            user: Some("user_123".to_string()),
+            metadata: Some(HashMap::from([(
+                "key".to_string(),
+                serde_json::json!("value"),
+            )])),
+            ..Default::default()
+        };
+
+        let response = ResponsesResponse::builder("resp_456", "gpt-4")
+            .copy_from_request(&request)
+            .status(ResponseStatus::Completed)
+            .build();
+
+        assert_eq!(response.instructions.as_ref().unwrap(), "Be helpful");
+        assert_eq!(response.max_output_tokens, Some(500));
+        assert_eq!(response.temperature, Some(0.8));
+        assert_eq!(response.top_p, Some(0.95));
+        assert!(!response.parallel_tool_calls);
+        assert!(!response.store);
+        assert_eq!(response.user.as_ref().unwrap(), "user_123");
+        assert_eq!(
+            response.metadata.get("key").unwrap(),
+            &serde_json::json!("value")
+        );
+    }
+
+    #[test]
+    fn test_add_output_items() {
+        let response = ResponsesResponse::builder("resp_789", "gpt-4")
+            .add_output(ResponseOutputItem::Message {
+                id: "msg_1".to_string(),
+                role: "assistant".to_string(),
+                content: vec![],
+                status: "completed".to_string(),
+            })
+            .add_output(ResponseOutputItem::Message {
+                id: "msg_2".to_string(),
+                role: "assistant".to_string(),
+                content: vec![],
+                status: "completed".to_string(),
+            })
+            .build();
+
+        assert_eq!(response.output.len(), 2);
+    }
+
+    #[test]
+    fn test_add_metadata() {
+        let response = ResponsesResponse::builder("resp_101", "gpt-4")
+            .add_metadata("key1", serde_json::json!("value1"))
+            .add_metadata("key2", serde_json::json!(42))
+            .build();
+
+        assert_eq!(response.metadata.len(), 2);
+        assert_eq!(response.metadata.get("key1").unwrap(), "value1");
+        assert_eq!(response.metadata.get("key2").unwrap(), 42);
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/chat.rs b/sgl-model-gateway/vendor/openai-protocol/src/chat.rs
new file mode 100644
index 000000000000..f5d831041f99
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/chat.rs
@@ -0,0 +1,807 @@
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use validator::Validate;
+
+use super::{
+    common::{
+        default_model, default_true, validate_stop, ChatLogProbs, ContentPart, Function,
+        FunctionCall, FunctionChoice, GenerationRequest, ResponseFormat, StreamOptions,
+        StringOrArray, Tool, ToolCall, ToolCallDelta, ToolChoice, ToolChoiceValue, ToolReference,
+        Usage,
+    },
+    sampling_params::{validate_top_k_value, validate_top_p_value},
+};
+use crate::{
+    builders::{ChatCompletionResponseBuilder, ChatCompletionStreamResponseBuilder},
+    validated::Normalizable,
+};
+
+// ============================================================================
+// Chat Messages
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "role")]
+pub enum ChatMessage {
+    #[serde(rename = "system")]
+    System {
+        content: MessageContent,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        name: Option<String>,
+    },
+    #[serde(rename = "user")]
+    User {
+        content: MessageContent,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        name: Option<String>,
+    },
+    #[serde(rename = "assistant")]
+    Assistant {
+        #[serde(skip_serializing_if = "Option::is_none")]
+        content: Option<MessageContent>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        name: Option<String>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        tool_calls: Option<Vec<ToolCall>>,
+        /// Reasoning content for O1-style models (SGLang extension)
+        #[serde(skip_serializing_if = "Option::is_none")]
+        reasoning_content: Option<String>,
+    },
+    #[serde(rename = "tool")]
+    Tool {
+        content: MessageContent,
+        tool_call_id: String,
+    },
+    #[serde(rename = "function")]
+    Function { content: String, name: String },
+    #[serde(rename = "developer")]
+    Developer {
+        content: MessageContent,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        tools: Option<Vec<Tool>>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        name: Option<String>,
+    },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+#[serde(untagged)]
+pub enum MessageContent {
+    Text(String),
+    Parts(Vec<ContentPart>),
+}
+
+impl MessageContent {
+    /// Returns the text content, cloning only when necessary.
+    /// For simple text, returns a clone of the string.
+    /// For parts, concatenates text parts with spaces.
+    /// Optimized to avoid intermediate Vec allocation.
+    pub fn to_simple_string(&self) -> String {
+        match self {
+            MessageContent::Text(text) => text.clone(),
+            MessageContent::Parts(parts) => {
+                // Use fold to build string directly without intermediate Vec allocation
+                let mut result = String::new();
+                let mut first = true;
+                for part in parts {
+                    if let ContentPart::Text { text } = part {
+                        if !first {
+                            result.push(' ');
+                        }
+                        result.push_str(text);
+                        first = false;
+                    }
+                }
+                result
+            }
+        }
+    }
+
+    /// Appends text content directly to a buffer, avoiding intermediate allocations.
+    /// Returns true if any content was appended.
+    #[inline]
+    pub fn append_text_to(&self, buffer: &mut String) -> bool {
+        match self {
+            MessageContent::Text(text) => {
+                if !text.is_empty() {
+                    buffer.push_str(text);
+                    true
+                } else {
+                    false
+                }
+            }
+            MessageContent::Parts(parts) => {
+                let mut appended = false;
+                for part in parts {
+                    if let ContentPart::Text { text } = part {
+                        if !text.is_empty() {
+                            if appended {
+                                buffer.push(' ');
+                            }
+                            buffer.push_str(text);
+                            appended = true;
+                        }
+                    }
+                }
+                appended
+            }
+        }
+    }
+
+    /// Returns true if this content contains any non-empty text.
+    #[inline]
+    pub fn has_text(&self) -> bool {
+        match self {
+            MessageContent::Text(text) => !text.is_empty(),
+            MessageContent::Parts(parts) => parts
+                .iter()
+                .any(|part| matches!(part, ContentPart::Text { text } if !text.is_empty())),
+        }
+    }
+}
+
+// ============================================================================
+// Chat Completion Request
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize, Default, Validate)]
+#[validate(schema(function = "validate_chat_cross_parameters"))]
+pub struct ChatCompletionRequest {
+    /// Pretokenized input supplied by a session client; bypasses chat templating.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_ids: Option<Vec<u32>>,
+
+    /// Request native chosen-token and candidate metadata from the backend.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub return_meta_info: Option<bool>,
+
+    /// A list of messages comprising the conversation so far
+    #[validate(custom(function = "validate_messages"))]
+    pub messages: Vec<ChatMessage>,
+
+    /// ID of the model to use
+    #[serde(default = "default_model")]
+    pub model: String,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub frequency_penalty: Option<f32>,
+
+    /// Deprecated: Replaced by tool_choice
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[deprecated(note = "Use tool_choice instead")]
+    pub function_call: Option<FunctionCall>,
+
+    /// Deprecated: Replaced by tools
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[deprecated(note = "Use tools instead")]
+    pub functions: Option<Vec<Function>>,
+
+    /// Modify the likelihood of specified tokens appearing in the completion
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logit_bias: Option<HashMap<String, f32>>,
+
+    /// Whether to return log probabilities of the output tokens
+    #[serde(default)]
+    pub logprobs: bool,
+
+    /// Deprecated: Replaced by max_completion_tokens
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[deprecated(note = "Use max_completion_tokens instead")]
+    #[validate(range(min = 1))]
+    pub max_tokens: Option<u32>,
+
+    /// An upper bound for the number of tokens that can be generated for a completion
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1))]
+    pub max_completion_tokens: Option<u32>,
+
+    /// Developer-defined tags and values used for filtering completions in the dashboard
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub metadata: Option<HashMap<String, String>>,
+
+    /// Output types that you would like the model to generate for this request
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub modalities: Option<Vec<String>>,
+
+    /// How many chat completion choices to generate for each input message
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1, max = 10))]
+    pub n: Option<u32>,
+
+    /// Whether to enable parallel function calling during tool use
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub parallel_tool_calls: Option<bool>,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub presence_penalty: Option<f32>,
+
+    /// Cache key for prompts (beta feature)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub prompt_cache_key: Option<String>,
+
+    /// Effort level for reasoning models (low, medium, high)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning_effort: Option<String>,
+
+    /// An object specifying the format that the model must output
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub response_format: Option<ResponseFormat>,
+
+    /// Safety identifier for content moderation
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub safety_identifier: Option<String>,
+
+    /// Deprecated: This feature is in Legacy mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[deprecated(note = "This feature is in Legacy mode")]
+    pub seed: Option<i64>,
+
+    /// The service tier to use for this request
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub service_tier: Option<String>,
+
+    /// Up to 4 sequences where the API will stop generating further tokens
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_stop"))]
+    pub stop: Option<StringOrArray>,
+
+    /// If set, partial message deltas will be sent
+    #[serde(default)]
+    pub stream: bool,
+
+    /// Options for streaming response
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stream_options: Option<StreamOptions>,
+
+    /// What sampling temperature to use, between 0 and 2
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0, max = 2.0))]
+    pub temperature: Option<f32>,
+
+    /// Controls which (if any) tool is called by the model
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+
+    /// A list of tools the model may call
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tools: Option<Vec<Tool>>,
+
+    /// An integer between 0 and 128 specifying the number of most likely tokens to return
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0, max = 128))]
+    pub top_logprobs: Option<u32>,
+
+    /// An alternative to sampling with temperature
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_top_p_value"))]
+    pub top_p: Option<f32>,
+
+    /// Verbosity level for debugging
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub verbosity: Option<i32>,
+
+    // =============================================================================
+    // Engine-Specific Sampling Parameters
+    // =============================================================================
+    // These parameters are extensions beyond the OpenAI API specification and
+    // control model generation behavior in engine-specific ways.
+    // =============================================================================
+    /// Top-k sampling parameter (-1 to disable)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_top_k_value"))]
+    pub top_k: Option<i32>,
+
+    /// Min-p nucleus sampling parameter
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0, max = 1.0))]
+    pub min_p: Option<f32>,
+
+    /// Minimum number of tokens to generate
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1))]
+    pub min_tokens: Option<u32>,
+
+    /// Repetition penalty for reducing repetitive text
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0, max = 2.0))]
+    pub repetition_penalty: Option<f32>,
+
+    /// Regex constraint for output generation
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub regex: Option<String>,
+
+    /// EBNF grammar constraint for structured output
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub ebnf: Option<String>,
+
+    /// Specific token IDs to use as stop conditions
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_token_ids: Option<Vec<u32>>,
+
+    /// Skip trimming stop tokens from output
+    #[serde(default)]
+    pub no_stop_trim: bool,
+
+    /// Ignore end-of-sequence tokens during generation
+    #[serde(default)]
+    pub ignore_eos: bool,
+
+    /// Continue generating from final assistant message
+    #[serde(default)]
+    pub continue_final_message: bool,
+
+    /// Skip special tokens during detokenization
+    #[serde(default = "default_true")]
+    pub skip_special_tokens: bool,
+
+    /// Path to LoRA adapter(s) for model customization
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub lora_path: Option<String>,
+
+    /// Session parameters for continual prompting
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub session_params: Option<HashMap<String, Value>>,
+
+    /// Separate reasoning content from final answer (O1-style models)
+    #[serde(default = "default_true")]
+    pub separate_reasoning: bool,
+
+    /// Stream reasoning tokens during generation
+    #[serde(default = "default_true")]
+    pub stream_reasoning: bool,
+
+    /// Chat template kwargs
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub chat_template_kwargs: Option<HashMap<String, Value>>,
+
+    /// Return model hidden states
+    #[serde(default)]
+    pub return_hidden_states: bool,
+
+    /// Random seed for sampling for deterministic outputs
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub sampling_seed: Option<u64>,
+}
+
+// ============================================================================
+// Validation Functions
+// ============================================================================
+
+/// Validates messages array is not empty and has valid content
+fn validate_messages(messages: &[ChatMessage]) -> Result<(), validator::ValidationError> {
+    if messages.is_empty() {
+        return Err(validator::ValidationError::new("messages cannot be empty"));
+    }
+
+    for msg in messages.iter() {
+        if let ChatMessage::User { content, .. } = msg {
+            match content {
+                MessageContent::Text(text) if text.is_empty() => {
+                    return Err(validator::ValidationError::new(
+                        "message content cannot be empty",
+                    ));
+                }
+                MessageContent::Parts(parts) if parts.is_empty() => {
+                    return Err(validator::ValidationError::new(
+                        "message content parts cannot be empty",
+                    ));
+                }
+                _ => {}
+            }
+        }
+    }
+    Ok(())
+}
+
+/// Schema-level validation for cross-field dependencies
+fn validate_chat_cross_parameters(
+    req: &ChatCompletionRequest,
+) -> Result<(), validator::ValidationError> {
+    // 1. Validate logprobs dependency
+    if req.top_logprobs.is_some() && !req.logprobs {
+        let mut e = validator::ValidationError::new("top_logprobs_requires_logprobs");
+        e.message = Some("top_logprobs is only allowed when logprobs is enabled".into());
+        return Err(e);
+    }
+
+    // 2. Validate stream_options dependency
+    if req.stream_options.is_some() && !req.stream {
+        let mut e = validator::ValidationError::new("stream_options_requires_stream");
+        e.message =
+            Some("The 'stream_options' parameter is only allowed when 'stream' is enabled".into());
+        return Err(e);
+    }
+
+    // 3. Validate token limits - min <= max
+    if let (Some(min), Some(max)) = (req.min_tokens, req.max_completion_tokens) {
+        if min > max {
+            let mut e = validator::ValidationError::new("min_tokens_exceeds_max");
+            e.message = Some("min_tokens cannot exceed max_tokens/max_completion_tokens".into());
+            return Err(e);
+        }
+    }
+
+    // 4. Validate structured output conflicts
+    let has_json_format = matches!(
+        req.response_format,
+        Some(ResponseFormat::JsonObject | ResponseFormat::JsonSchema { .. })
+    );
+
+    if has_json_format && req.regex.is_some() {
+        let mut e = validator::ValidationError::new("regex_conflicts_with_json");
+        e.message = Some("cannot use regex constraint with JSON response format".into());
+        return Err(e);
+    }
+
+    if has_json_format && req.ebnf.is_some() {
+        let mut e = validator::ValidationError::new("ebnf_conflicts_with_json");
+        e.message = Some("cannot use EBNF constraint with JSON response format".into());
+        return Err(e);
+    }
+
+    // 5. Validate mutually exclusive structured output constraints
+    let constraint_count = [
+        req.regex.is_some(),
+        req.ebnf.is_some(),
+        matches!(req.response_format, Some(ResponseFormat::JsonSchema { .. })),
+    ]
+    .iter()
+    .filter(|&&x| x)
+    .count();
+
+    if constraint_count > 1 {
+        let mut e = validator::ValidationError::new("multiple_constraints");
+        e.message = Some("only one structured output constraint (regex, ebnf, or json_schema) can be active at a time".into());
+        return Err(e);
+    }
+
+    // 6. Validate response format JSON schema name
+    if let Some(ResponseFormat::JsonSchema { json_schema }) = &req.response_format {
+        if json_schema.name.is_empty() {
+            let mut e = validator::ValidationError::new("json_schema_name_empty");
+            e.message = Some("JSON schema name cannot be empty".into());
+            return Err(e);
+        }
+    }
+
+    // 7. Validate tool_choice requires tools (except for "none")
+    if let Some(ref tool_choice) = req.tool_choice {
+        let has_tools = req.tools.as_ref().is_some_and(|t| !t.is_empty());
+
+        // Check if tool_choice is anything other than "none"
+        let is_some_choice = !matches!(tool_choice, ToolChoice::Value(ToolChoiceValue::None));
+
+        if is_some_choice && !has_tools {
+            let mut e = validator::ValidationError::new("tool_choice_requires_tools");
+            e.message = Some("Invalid value for 'tool_choice': 'tool_choice' is only allowed when 'tools' are specified.".into());
+            return Err(e);
+        }
+
+        // Additional validation when tools are present
+        if has_tools {
+            let tools = req.tools.as_ref().unwrap();
+
+            match tool_choice {
+                ToolChoice::Function { function, .. } => {
+                    // Validate that the specified function name exists in tools
+                    let function_exists = tools.iter().any(|tool| {
+                        tool.tool_type == "function" && tool.function.name == function.name
+                    });
+
+                    if !function_exists {
+                        let mut e =
+                            validator::ValidationError::new("tool_choice_function_not_found");
+                        e.message = Some(
+                            format!(
+                            "Invalid value for 'tool_choice': function '{}' not found in 'tools'.",
+                            function.name
+                        )
+                            .into(),
+                        );
+                        return Err(e);
+                    }
+                }
+                ToolChoice::AllowedTools {
+                    mode,
+                    tools: allowed_tools,
+                    ..
+                } => {
+                    // Validate mode is "auto" or "required"
+                    if mode != "auto" && mode != "required" {
+                        let mut e = validator::ValidationError::new("tool_choice_invalid_mode");
+                        e.message = Some(format!(
+                            "Invalid value for 'tool_choice.mode': must be 'auto' or 'required', got '{}'.",
+                            mode
+                        ).into());
+                        return Err(e);
+                    }
+
+                    // Validate that all ToolReferences are Function type (Chat API only supports function tools)
+                    for tool_ref in allowed_tools {
+                        match tool_ref {
+                            ToolReference::Function { name } => {
+                                // Validate that the function exists in tools array
+                                let tool_exists = tools.iter().any(|tool| {
+                                    tool.tool_type == "function" && tool.function.name == *name
+                                });
+
+                                if !tool_exists {
+                                    let mut e = validator::ValidationError::new(
+                                        "tool_choice_tool_not_found",
+                                    );
+                                    e.message = Some(
+                                        format!(
+                                            "Invalid value for 'tool_choice.tools': tool '{}' not found in 'tools'.",
+                                            name
+                                        )
+                                        .into(),
+                                    );
+                                    return Err(e);
+                                }
+                            }
+                            _ => {
+                                // Chat Completion API only supports function tools in tool_choice
+                                let mut e = validator::ValidationError::new(
+                                    "tool_choice_invalid_tool_type",
+                                );
+                                e.message = Some(
+                                    format!(
+                                        "Invalid value for 'tool_choice.tools': Chat Completion API only supports function tools, got '{}'.",
+                                        tool_ref.identifier()
+                                    )
+                                    .into(),
+                                );
+                                return Err(e);
+                            }
+                        }
+                    }
+                }
+                _ => {}
+            }
+        }
+    }
+
+    Ok(())
+}
+
+// ============================================================================
+// Normalizable Implementation
+// ============================================================================
+
+impl Normalizable for ChatCompletionRequest {
+    /// Normalize the request by applying migrations and defaults:
+    /// 1. Migrate deprecated fields to their replacements
+    /// 2. Clear deprecated fields and log warnings
+    /// 3. Apply OpenAI defaults for tool_choice
+    fn normalize(&mut self) {
+        // Migrate deprecated max_tokens → max_completion_tokens
+        #[allow(deprecated)]
+        if self.max_completion_tokens.is_none() && self.max_tokens.is_some() {
+            self.max_completion_tokens = self.max_tokens;
+            self.max_tokens = None; // Clear deprecated field
+        }
+
+        // Migrate deprecated functions → tools
+        #[allow(deprecated)]
+        if self.tools.is_none() && self.functions.is_some() {
+            tracing::warn!("functions is deprecated, use tools instead");
+            self.tools = self.functions.as_ref().map(|functions| {
+                functions
+                    .iter()
+                    .map(|func| Tool {
+                        tool_type: "function".to_string(),
+                        function: func.clone(),
+                    })
+                    .collect()
+            });
+            self.functions = None; // Clear deprecated field
+        }
+
+        // Migrate deprecated function_call → tool_choice
+        #[allow(deprecated)]
+        if self.tool_choice.is_none() && self.function_call.is_some() {
+            tracing::warn!("function_call is deprecated, use tool_choice instead");
+            self.tool_choice = self.function_call.as_ref().map(|fc| match fc {
+                FunctionCall::None => ToolChoice::Value(ToolChoiceValue::None),
+                FunctionCall::Auto => ToolChoice::Value(ToolChoiceValue::Auto),
+                FunctionCall::Function { name } => ToolChoice::Function {
+                    tool_type: "function".to_string(),
+                    function: FunctionChoice { name: name.clone() },
+                },
+            });
+            self.function_call = None; // Clear deprecated field
+        }
+
+        // Apply tool_choice defaults
+        if self.tool_choice.is_none() {
+            if let Some(tools) = &self.tools {
+                let choice_value = if !tools.is_empty() {
+                    ToolChoiceValue::Auto
+                } else {
+                    ToolChoiceValue::None
+                };
+                self.tool_choice = Some(ToolChoice::Value(choice_value));
+            }
+            // If tools is None, leave tool_choice as None (don't set it)
+        }
+    }
+}
+
+// ============================================================================
+// GenerationRequest Trait Implementation
+// ============================================================================
+
+impl GenerationRequest for ChatCompletionRequest {
+    fn is_stream(&self) -> bool {
+        self.stream
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        Some(&self.model)
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        // Extract text from messages for routing decisions
+        // Use a single buffer to avoid intermediate Vec<String> allocations
+        let mut buffer = String::new();
+        let mut has_content = false;
+
+        for msg in &self.messages {
+            match msg {
+                ChatMessage::System { content, .. }
+                | ChatMessage::User { content, .. }
+                | ChatMessage::Tool { content, .. }
+                | ChatMessage::Developer { content, .. } => {
+                    if has_content && content.has_text() {
+                        buffer.push(' ');
+                    }
+                    if content.append_text_to(&mut buffer) {
+                        has_content = true;
+                    }
+                }
+                ChatMessage::Assistant {
+                    content,
+                    reasoning_content,
+                    ..
+                } => {
+                    // Append main content
+                    if let Some(c) = content {
+                        if has_content && c.has_text() {
+                            buffer.push(' ');
+                        }
+                        if c.append_text_to(&mut buffer) {
+                            has_content = true;
+                        }
+                    }
+                    // Append reasoning content
+                    if let Some(reasoning) = reasoning_content {
+                        if !reasoning.is_empty() {
+                            if has_content {
+                                buffer.push(' ');
+                            }
+                            buffer.push_str(reasoning);
+                            has_content = true;
+                        }
+                    }
+                }
+                ChatMessage::Function { content, .. } => {
+                    if !content.is_empty() {
+                        if has_content {
+                            buffer.push(' ');
+                        }
+                        buffer.push_str(content);
+                        has_content = true;
+                    }
+                }
+            }
+        }
+
+        buffer
+    }
+}
+
+// ============================================================================
+// Response Types
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatCompletionResponse {
+    pub id: String,
+    pub object: String, // "chat.completion"
+    pub created: u64,
+    pub model: String,
+    pub choices: Vec<ChatChoice>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub usage: Option<Usage>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system_fingerprint: Option<String>,
+}
+
+impl ChatCompletionResponse {
+    /// Create a new builder for ChatCompletionResponse
+    pub fn builder(
+        id: impl Into<String>,
+        model: impl Into<String>,
+    ) -> ChatCompletionResponseBuilder {
+        ChatCompletionResponseBuilder::new(id, model)
+    }
+}
+
+/// Response message structure for ChatCompletionResponse (different from request ChatMessage)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatCompletionMessage {
+    pub role: String, // Always "assistant" for responses
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub content: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_calls: Option<Vec<ToolCall>>,
+    pub reasoning_content: Option<String>,
+    // Note: function_call is deprecated and not included
+    // Note: refusal, annotations, audio are not added yet
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatChoice {
+    pub index: u32,
+    pub message: ChatCompletionMessage,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logprobs: Option<ChatLogProbs>,
+    pub finish_reason: Option<String>, // "stop", "length", "tool_calls", "content_filter", "function_call"
+    /// Information about which stop condition was matched
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub matched_stop: Option<Value>, // Can be string or integer
+    /// Hidden states from the model (SGLang extension)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub hidden_states: Option<Vec<f32>>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatCompletionStreamResponse {
+    pub id: String,
+    pub object: String, // "chat.completion.chunk"
+    pub created: u64,
+    pub model: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system_fingerprint: Option<String>,
+    pub choices: Vec<ChatStreamChoice>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub usage: Option<Usage>,
+}
+
+impl ChatCompletionStreamResponse {
+    /// Create a new builder for ChatCompletionStreamResponse
+    pub fn builder(
+        id: impl Into<String>,
+        model: impl Into<String>,
+    ) -> ChatCompletionStreamResponseBuilder {
+        ChatCompletionStreamResponseBuilder::new(id, model)
+    }
+}
+
+/// Delta structure for streaming chat completion responses
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatMessageDelta {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub role: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub content: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_calls: Option<Vec<ToolCallDelta>>,
+    pub reasoning_content: Option<String>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatStreamChoice {
+    pub index: u32,
+    pub delta: ChatMessageDelta,
+    pub logprobs: Option<ChatLogProbs>,
+    pub finish_reason: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub matched_stop: Option<Value>,
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/classify.rs b/sgl-model-gateway/vendor/openai-protocol/src/classify.rs
new file mode 100644
index 000000000000..492bf88b109c
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/classify.rs
@@ -0,0 +1,121 @@
+//! Classify API protocol definitions.
+//!
+//! This module defines the request and response types for the `/v1/classify` API,
+//! which is compatible with vLLM's classification endpoint.
+//!
+//! Classification reuses the embedding backend - the scheduler returns logits as
+//! "embeddings", and the classify layer applies softmax + label mapping.
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+
+use super::common::{GenerationRequest, UsageInfo};
+
+// ============================================================================
+// Classify API
+// ============================================================================
+
+/// Classification request - compatible with vLLM's /v1/classify API
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ClassifyRequest {
+    /// ID of the model to use
+    pub model: String,
+
+    /// Input can be a string, array of strings, or token IDs
+    /// - Single string: "text to classify"
+    /// - Array of strings: ["text1", "text2"]
+    /// - Token IDs: [1, 2, 3] (advanced usage)
+    pub input: Value,
+
+    /// Optional user identifier
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user: Option<String>,
+
+    /// SGLang extension: request id for tracking
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub rid: Option<String>,
+
+    /// SGLang extension: request priority
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub priority: Option<i32>,
+
+    /// SGLang extension: enable/disable logging of metrics
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub log_metrics: Option<bool>,
+}
+
+impl GenerationRequest for ClassifyRequest {
+    fn is_stream(&self) -> bool {
+        false // Classification is always non-streaming
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        Some(&self.model)
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        match &self.input {
+            Value::String(s) => s.clone(),
+            Value::Array(arr) => arr
+                .iter()
+                .filter_map(|v| v.as_str())
+                .collect::<Vec<_>>()
+                .join(" "),
+            _ => String::new(),
+        }
+    }
+}
+
+// ============================================================================
+// Classify Response
+// ============================================================================
+
+/// Single classification result
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ClassifyData {
+    /// Index of this result (for batch requests)
+    pub index: u32,
+    /// Predicted class label (from id2label mapping)
+    pub label: String,
+    /// Probability distribution over all classes (softmax of logits)
+    pub probs: Vec<f32>,
+    /// Number of classes
+    pub num_classes: u32,
+}
+
+/// Classification response
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ClassifyResponse {
+    /// Unique request ID (format: "classify-{uuid}")
+    pub id: String,
+    /// Always "list"
+    pub object: String,
+    /// Unix timestamp (seconds since epoch)
+    pub created: u64,
+    /// Model name
+    pub model: String,
+    /// Classification results (one per input in batch)
+    pub data: Vec<ClassifyData>,
+    /// Token usage info
+    pub usage: UsageInfo,
+}
+
+impl ClassifyResponse {
+    /// Create a new ClassifyResponse with the given data
+    pub fn new(
+        id: String,
+        model: String,
+        created: u64,
+        data: Vec<ClassifyData>,
+        usage: UsageInfo,
+    ) -> Self {
+        Self {
+            id,
+            object: "list".to_string(),
+            created,
+            model,
+            data,
+            usage,
+        }
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/common.rs b/sgl-model-gateway/vendor/openai-protocol/src/common.rs
new file mode 100644
index 000000000000..83e2d238afb7
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/common.rs
@@ -0,0 +1,524 @@
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use validator;
+
+use super::UNKNOWN_MODEL_ID;
+
+// ============================================================================
+// Default value helpers
+// ============================================================================
+
+/// Default model value when not specified
+pub(crate) fn default_model() -> String {
+    UNKNOWN_MODEL_ID.to_string()
+}
+
+/// Helper function for serde default value (returns true)
+pub fn default_true() -> bool {
+    true
+}
+
+// ============================================================================
+// GenerationRequest Trait
+// ============================================================================
+
+/// Trait for unified access to generation request properties
+/// Implemented by ChatCompletionRequest, CompletionRequest, GenerateRequest,
+/// EmbeddingRequest, RerankRequest, and ResponsesRequest
+pub trait GenerationRequest: Send + Sync {
+    /// Check if the request is for streaming
+    fn is_stream(&self) -> bool;
+
+    /// Get the model name if specified
+    fn get_model(&self) -> Option<&str>;
+
+    /// Extract text content for routing decisions
+    fn extract_text_for_routing(&self) -> String;
+}
+
+// ============================================================================
+// String/Array Utilities
+// ============================================================================
+
+/// A type that can be either a single string or an array of strings
+#[derive(Debug, Clone, PartialEq, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum StringOrArray {
+    String(String),
+    Array(Vec<String>),
+}
+
+impl StringOrArray {
+    /// Get the number of items in the StringOrArray
+    pub fn len(&self) -> usize {
+        match self {
+            StringOrArray::String(_) => 1,
+            StringOrArray::Array(arr) => arr.len(),
+        }
+    }
+
+    /// Check if the StringOrArray is empty
+    pub fn is_empty(&self) -> bool {
+        match self {
+            StringOrArray::String(s) => s.is_empty(),
+            StringOrArray::Array(arr) => arr.is_empty(),
+        }
+    }
+
+    /// Convert to a vector of strings (clones the data)
+    pub fn to_vec(&self) -> Vec<String> {
+        match self {
+            StringOrArray::String(s) => vec![s.clone()],
+            StringOrArray::Array(arr) => arr.clone(),
+        }
+    }
+
+    /// Returns an iterator over string references without cloning.
+    /// Use this instead of `to_vec()` when you only need to iterate.
+    pub fn iter(&self) -> StringOrArrayIter<'_> {
+        StringOrArrayIter {
+            inner: self,
+            index: 0,
+        }
+    }
+
+    /// Returns the first string, or None if empty
+    pub fn first(&self) -> Option<&str> {
+        match self {
+            StringOrArray::String(s) => {
+                if s.is_empty() {
+                    None
+                } else {
+                    Some(s)
+                }
+            }
+            StringOrArray::Array(arr) => arr.first().map(|s| s.as_str()),
+        }
+    }
+}
+
+/// Iterator over StringOrArray that yields string references without cloning
+pub struct StringOrArrayIter<'a> {
+    inner: &'a StringOrArray,
+    index: usize,
+}
+
+impl<'a> Iterator for StringOrArrayIter<'a> {
+    type Item = &'a str;
+
+    fn next(&mut self) -> Option<Self::Item> {
+        match self.inner {
+            StringOrArray::String(s) => {
+                if self.index == 0 {
+                    self.index = 1;
+                    Some(s.as_str())
+                } else {
+                    None
+                }
+            }
+            StringOrArray::Array(arr) => {
+                if self.index < arr.len() {
+                    let item = &arr[self.index];
+                    self.index += 1;
+                    Some(item.as_str())
+                } else {
+                    None
+                }
+            }
+        }
+    }
+
+    fn size_hint(&self) -> (usize, Option<usize>) {
+        let remaining = match self.inner {
+            StringOrArray::String(_) => 1 - self.index,
+            StringOrArray::Array(arr) => arr.len() - self.index,
+        };
+        (remaining, Some(remaining))
+    }
+}
+
+impl<'a> ExactSizeIterator for StringOrArrayIter<'a> {}
+
+/// Validates stop sequences (max 4, non-empty strings)
+/// Used by both ChatCompletionRequest and ResponsesRequest
+pub fn validate_stop(stop: &StringOrArray) -> Result<(), validator::ValidationError> {
+    match stop {
+        StringOrArray::String(s) => {
+            if s.is_empty() {
+                return Err(validator::ValidationError::new(
+                    "stop sequences cannot be empty",
+                ));
+            }
+        }
+        StringOrArray::Array(arr) => {
+            if arr.len() > 4 {
+                return Err(validator::ValidationError::new(
+                    "maximum 4 stop sequences allowed",
+                ));
+            }
+            for s in arr {
+                if s.is_empty() {
+                    return Err(validator::ValidationError::new(
+                        "stop sequences cannot be empty",
+                    ));
+                }
+            }
+        }
+    }
+    Ok(())
+}
+
+// ============================================================================
+// Content Parts (for multimodal messages)
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+#[serde(tag = "type")]
+pub enum ContentPart {
+    #[serde(rename = "text")]
+    Text { text: String },
+    #[serde(rename = "image_url")]
+    ImageUrl { image_url: ImageUrl },
+    #[serde(rename = "video_url")]
+    VideoUrl { video_url: VideoUrl },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+pub struct ImageUrl {
+    pub url: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub detail: Option<String>, // "auto", "low", or "high"
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+pub struct VideoUrl {
+    pub url: String,
+}
+
+// ============================================================================
+// Response Format (for structured outputs)
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+pub enum ResponseFormat {
+    #[serde(rename = "text")]
+    Text,
+    #[serde(rename = "json_object")]
+    JsonObject,
+    #[serde(rename = "json_schema")]
+    JsonSchema { json_schema: JsonSchemaFormat },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct JsonSchemaFormat {
+    pub name: String,
+    pub schema: Value,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub strict: Option<bool>,
+}
+
+// ============================================================================
+// Streaming
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct StreamOptions {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub include_usage: Option<bool>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ToolCallDelta {
+    pub index: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub id: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[serde(rename = "type")]
+    pub tool_type: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub function: Option<FunctionCallDelta>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct FunctionCallDelta {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub name: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub arguments: Option<String>,
+}
+
+// ============================================================================
+// Tools and Function Calling
+// ============================================================================
+
+/// Tool choice value for simple string options
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(rename_all = "snake_case")]
+pub enum ToolChoiceValue {
+    Auto,
+    Required,
+    None,
+}
+
+/// Tool choice for both Chat Completion and Responses APIs
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum ToolChoice {
+    Value(ToolChoiceValue),
+    Function {
+        #[serde(rename = "type")]
+        tool_type: String, // "function"
+        function: FunctionChoice,
+    },
+    AllowedTools {
+        #[serde(rename = "type")]
+        tool_type: String, // "allowed_tools"
+        mode: String, // "auto" | "required" TODO: need validation
+        tools: Vec<ToolReference>,
+    },
+}
+
+impl Default for ToolChoice {
+    fn default() -> Self {
+        Self::Value(ToolChoiceValue::Auto)
+    }
+}
+
+impl ToolChoice {
+    /// Serialize tool_choice to string for ResponsesResponse
+    ///
+    /// Returns the JSON-serialized tool_choice or "auto" as default
+    pub fn serialize_to_string(tool_choice: &Option<ToolChoice>) -> String {
+        tool_choice
+            .as_ref()
+            .map(|tc| serde_json::to_string(tc).unwrap_or_else(|_| "auto".to_string()))
+            .unwrap_or_else(|| "auto".to_string())
+    }
+}
+
+/// Function choice specification for ToolChoice::Function
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct FunctionChoice {
+    pub name: String,
+}
+
+/// Tool reference for ToolChoice::AllowedTools
+///
+/// Represents a reference to a specific tool in the allowed_tools array.
+/// Different tool types have different required fields.
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+#[serde(rename_all = "snake_case")]
+pub enum ToolReference {
+    /// Reference to a function tool
+    #[serde(rename = "function")]
+    Function { name: String },
+
+    /// Reference to an MCP tool
+    #[serde(rename = "mcp")]
+    Mcp {
+        server_label: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        name: Option<String>,
+    },
+
+    /// File search hosted tool
+    #[serde(rename = "file_search")]
+    FileSearch,
+
+    /// Web search preview hosted tool
+    #[serde(rename = "web_search_preview")]
+    WebSearchPreview,
+
+    /// Computer use preview hosted tool
+    #[serde(rename = "computer_use_preview")]
+    ComputerUsePreview,
+
+    /// Code interpreter hosted tool
+    #[serde(rename = "code_interpreter")]
+    CodeInterpreter,
+
+    /// Image generation hosted tool
+    #[serde(rename = "image_generation")]
+    ImageGeneration,
+}
+
+impl ToolReference {
+    /// Get a unique identifier for this tool reference
+    pub fn identifier(&self) -> String {
+        match self {
+            ToolReference::Function { name } => format!("function:{}", name),
+            ToolReference::Mcp { server_label, name } => {
+                if let Some(n) = name {
+                    format!("mcp:{}:{}", server_label, n)
+                } else {
+                    format!("mcp:{}", server_label)
+                }
+            }
+            ToolReference::FileSearch => "file_search".to_string(),
+            ToolReference::WebSearchPreview => "web_search_preview".to_string(),
+            ToolReference::ComputerUsePreview => "computer_use_preview".to_string(),
+            ToolReference::CodeInterpreter => "code_interpreter".to_string(),
+            ToolReference::ImageGeneration => "image_generation".to_string(),
+        }
+    }
+
+    /// Get the tool name if this is a function tool
+    pub fn function_name(&self) -> Option<&str> {
+        match self {
+            ToolReference::Function { name } => Some(name.as_str()),
+            _ => None,
+        }
+    }
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct Tool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "function"
+    pub function: Function,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct Function {
+    pub name: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub description: Option<String>,
+    pub parameters: Value, // JSON Schema
+    /// Whether to enable strict schema adherence (OpenAI structured outputs)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub strict: Option<bool>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ToolCall {
+    pub id: String,
+    #[serde(rename = "type")]
+    pub tool_type: String, // "function"
+    pub function: FunctionCallResponse,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum FunctionCall {
+    None,
+    Auto,
+    Function { name: String },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct FunctionCallResponse {
+    pub name: String,
+    #[serde(default)]
+    pub arguments: Option<String>, // JSON string
+}
+
+// ============================================================================
+// Usage and Logging
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct Usage {
+    pub prompt_tokens: u32,
+    pub completion_tokens: u32,
+    pub total_tokens: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub completion_tokens_details: Option<CompletionTokensDetails>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionTokensDetails {
+    pub reasoning_tokens: Option<u32>,
+}
+
+/// Usage information (used by rerank and other endpoints)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct UsageInfo {
+    pub prompt_tokens: u32,
+    pub completion_tokens: u32,
+    pub total_tokens: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning_tokens: Option<u32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub prompt_tokens_details: Option<PromptTokenUsageInfo>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct PromptTokenUsageInfo {
+    pub cached_tokens: u32,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct LogProbs {
+    pub tokens: Vec<String>,
+    pub token_logprobs: Vec<Option<f32>>,
+    pub top_logprobs: Vec<Option<HashMap<String, f32>>>,
+    pub text_offset: Vec<u32>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum ChatLogProbs {
+    Detailed {
+        #[serde(skip_serializing_if = "Option::is_none")]
+        content: Option<Vec<ChatLogProbsContent>>,
+    },
+    Raw(Value),
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ChatLogProbsContent {
+    pub token: String,
+    pub logprob: f32,
+    pub bytes: Option<Vec<u8>>,
+    pub top_logprobs: Vec<TopLogProb>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct TopLogProb {
+    pub token: String,
+    pub logprob: f32,
+    pub bytes: Option<Vec<u8>>,
+}
+
+// ============================================================================
+// Error Types
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ErrorResponse {
+    pub error: ErrorDetail,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ErrorDetail {
+    pub message: String,
+    #[serde(rename = "type")]
+    pub error_type: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub param: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub code: Option<String>,
+}
+
+// ============================================================================
+// Input Types
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum InputIds {
+    Single(Vec<i32>),
+    Batch(Vec<Vec<i32>>),
+}
+
+/// LoRA adapter path - can be single path or batch of paths (SGLang extension)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum LoRAPath {
+    Single(Option<String>),
+    Batch(Vec<Option<String>>),
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/completion.rs b/sgl-model-gateway/vendor/openai-protocol/src/completion.rs
new file mode 100644
index 000000000000..c6a4f638aeb4
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/completion.rs
@@ -0,0 +1,214 @@
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::{Map, Value};
+
+use super::common::*;
+
+// ============================================================================
+// Completions API (v1/completions) - DEPRECATED but still supported
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionRequest {
+    /// ID of the model to use (required for OpenAI, optional for some implementations, such as SGLang)
+    pub model: String,
+
+    /// The prompt(s) to generate completions for
+    pub prompt: StringOrArray,
+
+    /// The suffix that comes after a completion of inserted text
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub suffix: Option<String>,
+
+    /// The maximum number of tokens to generate
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub max_tokens: Option<u32>,
+
+    /// What sampling temperature to use, between 0 and 2
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+
+    /// An alternative to sampling with temperature (nucleus sampling)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f32>,
+
+    /// How many completions to generate for each prompt
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub n: Option<u32>,
+
+    /// Whether to stream back partial progress
+    #[serde(default)]
+    pub stream: bool,
+
+    /// Options for streaming response
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stream_options: Option<StreamOptions>,
+
+    /// Include the log probabilities on the logprobs most likely tokens
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logprobs: Option<u32>,
+
+    /// Echo back the prompt in addition to the completion
+    #[serde(default)]
+    pub echo: bool,
+
+    /// Up to 4 sequences where the API will stop generating further tokens
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop: Option<StringOrArray>,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub presence_penalty: Option<f32>,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub frequency_penalty: Option<f32>,
+
+    /// Generates best_of completions server-side and returns the "best"
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub best_of: Option<u32>,
+
+    /// Modify the likelihood of specified tokens appearing in the completion
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logit_bias: Option<HashMap<String, f32>>,
+
+    /// A unique identifier representing your end-user
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user: Option<String>,
+
+    /// If specified, our system will make a best effort to sample deterministically
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub seed: Option<i64>,
+
+    // -------- Engine Specific Sampling Parameters --------
+    /// Top-k sampling parameter (-1 to disable)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_k: Option<i32>,
+
+    /// Min-p nucleus sampling parameter
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub min_p: Option<f32>,
+
+    /// Minimum number of tokens to generate
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub min_tokens: Option<u32>,
+
+    /// Repetition penalty for reducing repetitive text
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub repetition_penalty: Option<f32>,
+
+    /// Regex constraint for output generation
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub regex: Option<String>,
+
+    /// EBNF grammar constraint for structured output
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub ebnf: Option<String>,
+
+    /// JSON schema constraint for structured output
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub json_schema: Option<String>,
+
+    /// Specific token IDs to use as stop conditions
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_token_ids: Option<Vec<u32>>,
+
+    /// Skip trimming stop tokens from output
+    #[serde(default)]
+    pub no_stop_trim: bool,
+
+    /// Ignore end-of-sequence tokens during generation
+    #[serde(default)]
+    pub ignore_eos: bool,
+
+    /// Skip special tokens during detokenization
+    #[serde(default = "default_true")]
+    pub skip_special_tokens: bool,
+
+    /// Path to LoRA adapter(s) for model customization
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub lora_path: Option<String>,
+
+    /// Session parameters for continual prompting
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub session_params: Option<HashMap<String, Value>>,
+
+    /// Return model hidden states
+    #[serde(default)]
+    pub return_hidden_states: bool,
+
+    /// Sampling seed for deterministic outputs
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub sampling_seed: Option<u64>,
+
+    /// Additional fields including bootstrap info for PD routing
+    #[serde(flatten)]
+    pub other: Map<String, Value>,
+}
+
+impl GenerationRequest for CompletionRequest {
+    fn is_stream(&self) -> bool {
+        self.stream
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        Some(&self.model)
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        match &self.prompt {
+            StringOrArray::String(s) => s.clone(),
+            StringOrArray::Array(v) => v.join(" "),
+        }
+    }
+}
+
+// ============================================================================
+// Response Types
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionResponse {
+    pub id: String,
+    pub object: String, // "text_completion"
+    pub created: u64,
+    pub model: String,
+    pub choices: Vec<CompletionChoice>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub usage: Option<Usage>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system_fingerprint: Option<String>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionChoice {
+    pub text: String,
+    pub index: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logprobs: Option<LogProbs>,
+    pub finish_reason: Option<String>, // "stop", "length", "content_filter", etc.
+    /// Information about which stop condition was matched
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub matched_stop: Option<Value>, // Can be string or integer
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionStreamResponse {
+    pub id: String,
+    pub object: String, // "text_completion"
+    pub created: u64,
+    pub choices: Vec<CompletionStreamChoice>,
+    pub model: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system_fingerprint: Option<String>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct CompletionStreamChoice {
+    pub text: String,
+    pub index: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logprobs: Option<LogProbs>,
+    pub finish_reason: Option<String>,
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/embedding.rs b/sgl-model-gateway/vendor/openai-protocol/src/embedding.rs
new file mode 100644
index 000000000000..12e3daf19cde
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/embedding.rs
@@ -0,0 +1,76 @@
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+
+use super::common::{GenerationRequest, UsageInfo};
+
+// ============================================================================
+// Embedding API
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct EmbeddingRequest {
+    /// ID of the model to use
+    pub model: String,
+
+    /// Input can be a string, array of strings, tokens, or batch inputs
+    pub input: Value,
+
+    /// Optional encoding format (e.g., "float", "base64")
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub encoding_format: Option<String>,
+
+    /// Optional user identifier
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user: Option<String>,
+
+    /// Optional number of dimensions for the embedding
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub dimensions: Option<u32>,
+
+    /// SGLang extension: request id for tracking
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub rid: Option<String>,
+
+    /// SGLang extension: enable/disable logging of metrics for this request
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub log_metrics: Option<bool>,
+}
+
+impl GenerationRequest for EmbeddingRequest {
+    fn is_stream(&self) -> bool {
+        // Embeddings are non-streaming
+        false
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        Some(&self.model)
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        // Best effort: extract text content for routing decisions
+        match &self.input {
+            Value::String(s) => s.clone(),
+            Value::Array(arr) => arr
+                .iter()
+                .filter_map(|v| v.as_str())
+                .collect::<Vec<_>>()
+                .join(" "),
+            _ => String::new(),
+        }
+    }
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct EmbeddingObject {
+    pub object: String, // "embedding"
+    pub embedding: Vec<f32>,
+    pub index: u32,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct EmbeddingResponse {
+    pub object: String, // "list"
+    pub data: Vec<EmbeddingObject>,
+    pub model: String,
+    pub usage: UsageInfo,
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/event_types.rs b/sgl-model-gateway/vendor/openai-protocol/src/event_types.rs
new file mode 100644
index 000000000000..c36dc5d4512f
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/event_types.rs
@@ -0,0 +1,228 @@
+use std::fmt;
+
+/// Response lifecycle events
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum ResponseEvent {
+    Created,
+    InProgress,
+    Completed,
+}
+
+impl ResponseEvent {
+    pub const CREATED: &'static str = "response.created";
+    pub const IN_PROGRESS: &'static str = "response.in_progress";
+    pub const COMPLETED: &'static str = "response.completed";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::Created => Self::CREATED,
+            Self::InProgress => Self::IN_PROGRESS,
+            Self::Completed => Self::COMPLETED,
+        }
+    }
+}
+
+impl fmt::Display for ResponseEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Output item events for streaming
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum OutputItemEvent {
+    Added,
+    Done,
+    Delta,
+}
+
+impl OutputItemEvent {
+    pub const ADDED: &'static str = "response.output_item.added";
+    pub const DONE: &'static str = "response.output_item.done";
+    pub const DELTA: &'static str = "response.output_item.delta";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::Added => Self::ADDED,
+            Self::Done => Self::DONE,
+            Self::Delta => Self::DELTA,
+        }
+    }
+}
+
+impl fmt::Display for OutputItemEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Function call argument streaming events
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum FunctionCallEvent {
+    ArgumentsDelta,
+    ArgumentsDone,
+}
+
+impl FunctionCallEvent {
+    pub const ARGUMENTS_DELTA: &'static str = "response.function_call_arguments.delta";
+    pub const ARGUMENTS_DONE: &'static str = "response.function_call_arguments.done";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::ArgumentsDelta => Self::ARGUMENTS_DELTA,
+            Self::ArgumentsDone => Self::ARGUMENTS_DONE,
+        }
+    }
+}
+
+impl fmt::Display for FunctionCallEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Content part streaming events
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum ContentPartEvent {
+    Added,
+    Done,
+}
+
+impl ContentPartEvent {
+    pub const ADDED: &'static str = "response.content_part.added";
+    pub const DONE: &'static str = "response.content_part.done";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::Added => Self::ADDED,
+            Self::Done => Self::DONE,
+        }
+    }
+}
+
+impl fmt::Display for ContentPartEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Output text streaming events
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum OutputTextEvent {
+    Delta,
+    Done,
+}
+
+impl OutputTextEvent {
+    pub const DELTA: &'static str = "response.output_text.delta";
+    pub const DONE: &'static str = "response.output_text.done";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::Delta => Self::DELTA,
+            Self::Done => Self::DONE,
+        }
+    }
+}
+
+impl fmt::Display for OutputTextEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+// ============================================================================
+// MCP Events
+// ============================================================================
+
+/// MCP (Model Context Protocol) call events
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum McpEvent {
+    CallArgumentsDelta,
+    CallArgumentsDone,
+    CallInProgress,
+    CallCompleted,
+    CallFailed,
+    ListToolsInProgress,
+    ListToolsCompleted,
+}
+
+impl McpEvent {
+    pub const CALL_ARGUMENTS_DELTA: &'static str = "response.mcp_call_arguments.delta";
+    pub const CALL_ARGUMENTS_DONE: &'static str = "response.mcp_call_arguments.done";
+    pub const CALL_IN_PROGRESS: &'static str = "response.mcp_call.in_progress";
+    pub const CALL_COMPLETED: &'static str = "response.mcp_call.completed";
+    pub const CALL_FAILED: &'static str = "response.mcp_call.failed";
+    pub const LIST_TOOLS_IN_PROGRESS: &'static str = "response.mcp_list_tools.in_progress";
+    pub const LIST_TOOLS_COMPLETED: &'static str = "response.mcp_list_tools.completed";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::CallArgumentsDelta => Self::CALL_ARGUMENTS_DELTA,
+            Self::CallArgumentsDone => Self::CALL_ARGUMENTS_DONE,
+            Self::CallInProgress => Self::CALL_IN_PROGRESS,
+            Self::CallCompleted => Self::CALL_COMPLETED,
+            Self::CallFailed => Self::CALL_FAILED,
+            Self::ListToolsInProgress => Self::LIST_TOOLS_IN_PROGRESS,
+            Self::ListToolsCompleted => Self::LIST_TOOLS_COMPLETED,
+        }
+    }
+}
+
+impl fmt::Display for McpEvent {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Item type discriminators used in output items
+#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
+pub enum ItemType {
+    FunctionCall,
+    FunctionToolCall,
+    McpCall,
+    Function,
+    McpListTools,
+}
+
+impl ItemType {
+    pub const FUNCTION_CALL: &'static str = "function_call";
+    pub const FUNCTION_TOOL_CALL: &'static str = "function_tool_call";
+    pub const MCP_CALL: &'static str = "mcp_call";
+    pub const FUNCTION: &'static str = "function";
+    pub const MCP_LIST_TOOLS: &'static str = "mcp_list_tools";
+
+    pub const fn as_str(&self) -> &'static str {
+        match self {
+            Self::FunctionCall => Self::FUNCTION_CALL,
+            Self::FunctionToolCall => Self::FUNCTION_TOOL_CALL,
+            Self::McpCall => Self::MCP_CALL,
+            Self::Function => Self::FUNCTION,
+            Self::McpListTools => Self::MCP_LIST_TOOLS,
+        }
+    }
+
+    /// Check if this is a function call variant (FunctionCall or FunctionToolCall)
+    pub const fn is_function_call(&self) -> bool {
+        matches!(self, Self::FunctionCall | Self::FunctionToolCall)
+    }
+}
+
+impl fmt::Display for ItemType {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.write_str(self.as_str())
+    }
+}
+
+/// Check if an event type string matches any response lifecycle event
+pub fn is_response_event(event_type: &str) -> bool {
+    matches!(
+        event_type,
+        ResponseEvent::CREATED | ResponseEvent::IN_PROGRESS | ResponseEvent::COMPLETED
+    )
+}
+
+/// Check if an item type string is a function call variant
+pub fn is_function_call_type(item_type: &str) -> bool {
+    item_type == ItemType::FUNCTION_CALL || item_type == ItemType::FUNCTION_TOOL_CALL
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/generate.rs b/sgl-model-gateway/vendor/openai-protocol/src/generate.rs
new file mode 100644
index 000000000000..0c81184745df
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/generate.rs
@@ -0,0 +1,297 @@
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use validator::Validate;
+
+use super::{
+    common::{default_true, GenerationRequest, InputIds},
+    sampling_params::SamplingParams,
+};
+use crate::validated::Normalizable;
+
+// ============================================================================
+// SGLang Generate API (native format)
+// ============================================================================
+
+#[derive(Clone, Debug, Serialize, Deserialize, Validate)]
+#[validate(schema(function = "validate_generate_request"))]
+pub struct GenerateRequest {
+    /// Text input - SGLang native format
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub text: Option<String>,
+
+    pub model: Option<String>,
+
+    /// Input IDs for tokenized input
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_ids: Option<InputIds>,
+
+    /// Input embeddings for direct embedding input
+    /// Can be a 2D array (single request) or 3D array (batch of requests)
+    /// Placeholder for future use
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_embeds: Option<Value>,
+
+    /// Image input data
+    /// Can be an image instance, file name, URL, or base64 encoded string
+    /// Supports single images, lists of images, or nested lists for batch processing
+    /// Placeholder for future use
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub image_data: Option<Value>,
+
+    /// Video input data
+    /// Can be a file name, URL, or base64 encoded string
+    /// Supports single videos, lists of videos, or nested lists for batch processing
+    /// Placeholder for future use
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub video_data: Option<Value>,
+
+    /// Audio input data
+    /// Can be a file name, URL, or base64 encoded string
+    /// Supports single audio files, lists of audio, or nested lists for batch processing
+    /// Placeholder for future use
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub audio_data: Option<Value>,
+
+    /// Sampling parameters (sglang style)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub sampling_params: Option<SamplingParams>,
+
+    /// Whether to return logprobs
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub return_logprob: Option<bool>,
+
+    /// If return logprobs, the start location in the prompt for returning logprobs.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub logprob_start_len: Option<i32>,
+
+    /// If return logprobs, the number of top logprobs to return at each position.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_logprobs_num: Option<i32>,
+
+    /// If return logprobs, the token ids to return logprob for.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub token_ids_logprob: Option<Vec<u32>>,
+
+    /// Whether to detokenize tokens in text in the returned logprobs.
+    #[serde(default)]
+    pub return_text_in_logprobs: bool,
+
+    /// Whether to stream the response
+    #[serde(default)]
+    pub stream: bool,
+
+    /// Whether to log metrics for this request (e.g. health_generate calls do not log metrics)
+    #[serde(default = "default_true")]
+    pub log_metrics: bool,
+
+    /// Return model hidden states
+    #[serde(default)]
+    pub return_hidden_states: bool,
+
+    /// The modalities of the image data [image, multi-images, video]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub modalities: Option<Vec<String>>,
+
+    /// Session parameters for continual prompting
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub session_params: Option<HashMap<String, Value>>,
+
+    /// Path to LoRA adapter(s) for model customization
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub lora_path: Option<String>,
+
+    /// LoRA adapter ID (if pre-loaded)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub lora_id: Option<String>,
+
+    /// Custom logit processor for advanced sampling control. Must be a serialized instance
+    /// of `CustomLogitProcessor` in python/sglang/srt/sampling/custom_logit_processor.py
+    /// Use the processor's `to_str()` method to generate the serialized string.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub custom_logit_processor: Option<String>,
+
+    /// For disaggregated inference
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_host: Option<String>,
+
+    /// For disaggregated inference
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_port: Option<i32>,
+
+    /// For disaggregated inference
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_room: Option<i32>,
+
+    /// For disaggregated inference
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_pair_key: Option<String>,
+
+    /// Data parallel rank routing
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub data_parallel_rank: Option<i32>,
+
+    /// Background response
+    #[serde(default)]
+    pub background: bool,
+
+    /// Conversation ID for tracking
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub conversation_id: Option<String>,
+
+    /// Priority for the request
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub priority: Option<i32>,
+
+    /// Extra key for classifying the request (e.g. cache_salt)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub extra_key: Option<String>,
+
+    /// Whether to disallow logging for this request (e.g. due to ZDR)
+    #[serde(default)]
+    pub no_logs: bool,
+
+    /// Custom metric labels
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub custom_labels: Option<HashMap<String, String>>,
+
+    /// Whether to return bytes for image generation
+    #[serde(default)]
+    pub return_bytes: bool,
+
+    /// Whether to return entropy
+    #[serde(default)]
+    pub return_entropy: bool,
+
+    /// Request ID for tracking (inherited from BaseReq in Python)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub rid: Option<String>,
+}
+
+impl Normalizable for GenerateRequest {
+    // Use default no-op implementation - no normalization needed for GenerateRequest
+}
+
+/// Validation function for GenerateRequest - ensure exactly one input type is provided
+fn validate_generate_request(req: &GenerateRequest) -> Result<(), validator::ValidationError> {
+    // Exactly one of text or input_ids must be provided
+    // Note: input_embeds not yet supported in Rust implementation
+    let has_text = req.text.is_some();
+    let has_input_ids = req.input_ids.is_some();
+
+    let count = [has_text, has_input_ids].iter().filter(|&&x| x).count();
+
+    if count == 0 {
+        return Err(validator::ValidationError::new(
+            "Either text or input_ids should be provided.",
+        ));
+    }
+
+    if count > 1 {
+        return Err(validator::ValidationError::new(
+            "Either text or input_ids should be provided.",
+        ));
+    }
+
+    Ok(())
+}
+
+impl GenerationRequest for GenerateRequest {
+    fn is_stream(&self) -> bool {
+        self.stream
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        // Generate requests have an optional model field
+        if let Some(s) = &self.model {
+            Some(s.as_str())
+        } else {
+            None
+        }
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        // Check fields in priority order: text, input_ids
+        if let Some(ref text) = self.text {
+            return text.clone();
+        }
+
+        if let Some(ref input_ids) = self.input_ids {
+            return match input_ids {
+                InputIds::Single(ids) => ids
+                    .iter()
+                    .map(|&id| id.to_string())
+                    .collect::<Vec<String>>()
+                    .join(" "),
+                InputIds::Batch(batches) => batches
+                    .iter()
+                    .flat_map(|batch| batch.iter().map(|&id| id.to_string()))
+                    .collect::<Vec<String>>()
+                    .join(" "),
+            };
+        }
+
+        // No text input found
+        String::new()
+    }
+}
+
+// ============================================================================
+// SGLang Generate Response Types
+// ============================================================================
+
+/// SGLang generate response (single completion or array for n>1)
+///
+/// Format for n=1:
+/// ```json
+/// {
+///   "text": "...",
+///   "output_ids": [...],
+///   "meta_info": { ... }
+/// }
+/// ```
+///
+/// Format for n>1:
+/// ```json
+/// [
+///   {"text": "...", "output_ids": [...], "meta_info": {...}},
+///   {"text": "...", "output_ids": [...], "meta_info": {...}}
+/// ]
+/// ```
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct GenerateResponse {
+    pub text: String,
+    pub output_ids: Vec<u32>,
+    pub meta_info: GenerateMetaInfo,
+}
+
+/// Metadata for a single generate completion
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct GenerateMetaInfo {
+    pub id: String,
+    pub finish_reason: GenerateFinishReason,
+    pub prompt_tokens: u32,
+    pub weight_version: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_token_logprobs: Option<Vec<Vec<Option<f64>>>>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub output_token_logprobs: Option<Vec<Vec<Option<f64>>>>,
+    pub completion_tokens: u32,
+    pub cached_tokens: u32,
+    pub e2e_latency: f64,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub matched_stop: Option<Value>,
+}
+
+/// Finish reason for generate endpoint
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "lowercase")]
+pub enum GenerateFinishReason {
+    Length {
+        length: u32,
+    },
+    Stop,
+    #[serde(untagged)]
+    Other(Value),
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/lib.rs b/sgl-model-gateway/vendor/openai-protocol/src/lib.rs
new file mode 100644
index 000000000000..6196611473e3
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/lib.rs
@@ -0,0 +1,25 @@
+// Protocol definitions and validation for various LLM APIs
+// This module provides a structured approach to handling different API protocols
+
+/// Default model identifier used when no model is specified.
+///
+/// This constant should be used instead of hardcoded "unknown" strings
+/// throughout the codebase for consistency.
+pub const UNKNOWN_MODEL_ID: &str = "unknown";
+
+pub mod builders;
+pub mod chat;
+pub mod classify;
+pub mod common;
+pub mod completion;
+pub mod embedding;
+pub mod event_types;
+pub mod generate;
+pub mod messages;
+pub mod parser;
+pub mod rerank;
+pub mod responses;
+pub mod sampling_params;
+pub mod tokenize;
+pub mod validated;
+pub mod worker_spec;
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/messages.rs b/sgl-model-gateway/vendor/openai-protocol/src/messages.rs
new file mode 100644
index 000000000000..b180e1224d84
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/messages.rs
@@ -0,0 +1,1726 @@
+//! Anthropic Messages API protocol definitions
+//!
+//! This module provides Rust types for the Anthropic Messages API.
+//! See: https://docs.anthropic.com/en/api/messages
+
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+
+// ============================================================================
+// Request Types
+// ============================================================================
+
+/// Request to create a message using the Anthropic Messages API.
+///
+/// This is the main request type for `/v1/messages` endpoint.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CreateMessageRequest {
+    /// The model that will complete your prompt.
+    pub model: String,
+
+    /// Input messages for the conversation.
+    pub messages: Vec<InputMessage>,
+
+    /// The maximum number of tokens to generate before stopping.
+    pub max_tokens: u32,
+
+    /// An object describing metadata about the request.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub metadata: Option<Metadata>,
+
+    /// Service tier for the request (auto or standard_only).
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub service_tier: Option<ServiceTier>,
+
+    /// Custom text sequences that will cause the model to stop generating.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_sequences: Option<Vec<String>>,
+
+    /// Whether to incrementally stream the response using server-sent events.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stream: Option<bool>,
+
+    /// System prompt for providing context and instructions.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system: Option<SystemContent>,
+
+    /// Amount of randomness injected into the response (0.0 to 1.0).
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f64>,
+
+    /// Configuration for extended thinking.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub thinking: Option<ThinkingConfig>,
+
+    /// How the model should use the provided tools.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+
+    /// Definitions of tools that the model may use.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tools: Option<Vec<Tool>>,
+
+    /// Only sample from the top K options for each subsequent token.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_k: Option<u32>,
+
+    /// Use nucleus sampling.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f64>,
+
+    // Beta features
+    /// Container configuration for code execution (beta).
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub container: Option<ContainerConfig>,
+
+    /// MCP servers to be utilized in this request (beta).
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub mcp_servers: Option<Vec<McpServerConfig>>,
+}
+
+impl CreateMessageRequest {
+    /// Check if the request is for streaming
+    pub fn is_stream(&self) -> bool {
+        self.stream.unwrap_or(false)
+    }
+
+    /// Get the model name
+    pub fn get_model(&self) -> &str {
+        &self.model
+    }
+}
+
+/// Request metadata
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Metadata {
+    /// An external identifier for the user who is associated with the request.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user_id: Option<String>,
+}
+
+/// Service tier options
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum ServiceTier {
+    Auto,
+    StandardOnly,
+}
+
+/// System content can be a string or an array of text blocks
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum SystemContent {
+    String(String),
+    Blocks(Vec<TextBlock>),
+}
+
+/// A single input message in a conversation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct InputMessage {
+    /// The role of the message sender (user or assistant)
+    pub role: Role,
+
+    /// The content of the message
+    pub content: InputContent,
+}
+
+/// Role of a message sender
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
+#[serde(rename_all = "lowercase")]
+pub enum Role {
+    User,
+    Assistant,
+}
+
+/// Input content can be a string or an array of content blocks
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum InputContent {
+    String(String),
+    Blocks(Vec<InputContentBlock>),
+}
+
+// ============================================================================
+// Input Content Blocks
+// ============================================================================
+
+/// Input content block types
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum InputContentBlock {
+    /// Text content
+    Text(TextBlock),
+    /// Image content
+    Image(ImageBlock),
+    /// Document content
+    Document(DocumentBlock),
+    /// Tool use block (for assistant messages)
+    ToolUse(ToolUseBlock),
+    /// Tool result block (for user messages)
+    ToolResult(ToolResultBlock),
+    /// Thinking block
+    Thinking(ThinkingBlock),
+    /// Redacted thinking block
+    RedactedThinking(RedactedThinkingBlock),
+    /// Server tool use block
+    ServerToolUse(ServerToolUseBlock),
+    /// Search result block
+    SearchResult(SearchResultBlock),
+    /// Web search tool result block
+    WebSearchToolResult(WebSearchToolResultBlock),
+}
+
+/// Text content block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextBlock {
+    /// The text content
+    pub text: String,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+
+    /// Citations for this text block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub citations: Option<Vec<Citation>>,
+}
+
+/// Image content block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ImageBlock {
+    /// The image source
+    pub source: ImageSource,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Image source (base64 or URL)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ImageSource {
+    Base64 { media_type: String, data: String },
+    Url { url: String },
+}
+
+/// Document content block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct DocumentBlock {
+    /// The document source
+    pub source: DocumentSource,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+
+    /// Optional title for the document
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub title: Option<String>,
+
+    /// Optional context for the document
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub context: Option<String>,
+
+    /// Citations configuration
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub citations: Option<CitationsConfig>,
+}
+
+/// Document source (base64, text, or URL)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum DocumentSource {
+    Base64 { media_type: String, data: String },
+    Text { data: String },
+    Url { url: String },
+    Content { content: Vec<InputContentBlock> },
+}
+
+/// Tool use block (in assistant messages)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolUseBlock {
+    /// Unique identifier for this tool use
+    pub id: String,
+
+    /// Name of the tool being used
+    pub name: String,
+
+    /// Input arguments for the tool
+    pub input: Value,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Tool result block (in user messages)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content (string or blocks)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub content: Option<ToolResultContent>,
+
+    /// Whether this result indicates an error
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub is_error: Option<bool>,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Tool result content (string or blocks)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum ToolResultContent {
+    String(String),
+    Blocks(Vec<ToolResultContentBlock>),
+}
+
+/// Content blocks allowed in tool results
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ToolResultContentBlock {
+    Text(TextBlock),
+    Image(ImageBlock),
+    Document(DocumentBlock),
+    SearchResult(SearchResultBlock),
+}
+
+/// Thinking block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ThinkingBlock {
+    /// The thinking content
+    pub thinking: String,
+
+    /// Signature for the thinking block
+    pub signature: String,
+}
+
+/// Redacted thinking block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RedactedThinkingBlock {
+    /// The encrypted/redacted data
+    pub data: String,
+}
+
+/// Server tool use block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ServerToolUseBlock {
+    /// Unique identifier for this tool use
+    pub id: String,
+
+    /// Name of the server tool
+    pub name: String,
+
+    /// Input arguments for the tool
+    pub input: Value,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Search result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SearchResultBlock {
+    /// Source URL or identifier
+    pub source: String,
+
+    /// Title of the search result
+    pub title: String,
+
+    /// Content of the search result
+    pub content: Vec<TextBlock>,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+
+    /// Citations configuration
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub citations: Option<CitationsConfig>,
+}
+
+/// Web search tool result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebSearchToolResultBlock {
+    /// The tool use ID this result is for
+    pub tool_use_id: String,
+
+    /// The search results or error
+    pub content: WebSearchToolResultContent,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Web search tool result content
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum WebSearchToolResultContent {
+    Results(Vec<WebSearchResultBlock>),
+    Error(WebSearchToolResultError),
+}
+
+/// Web search result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebSearchResultBlock {
+    /// Title of the search result
+    pub title: String,
+
+    /// URL of the search result
+    pub url: String,
+
+    /// Encrypted content
+    pub encrypted_content: String,
+
+    /// Page age (if available)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub page_age: Option<String>,
+}
+
+/// Web search tool result error
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebSearchToolResultError {
+    #[serde(rename = "type")]
+    pub error_type: String,
+    pub error_code: WebSearchToolResultErrorCode,
+}
+
+/// Web search tool result error codes
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum WebSearchToolResultErrorCode {
+    InvalidToolInput,
+    Unavailable,
+    MaxUsesExceeded,
+    TooManyRequests,
+    QueryTooLong,
+}
+
+/// Cache control configuration
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum CacheControl {
+    Ephemeral,
+}
+
+/// Citations configuration
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CitationsConfig {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub enabled: Option<bool>,
+}
+
+/// Citation types
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum Citation {
+    CharLocation(CharLocationCitation),
+    PageLocation(PageLocationCitation),
+    ContentBlockLocation(ContentBlockLocationCitation),
+    WebSearchResultLocation(WebSearchResultLocationCitation),
+    SearchResultLocation(SearchResultLocationCitation),
+}
+
+/// Character location citation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CharLocationCitation {
+    pub cited_text: String,
+    pub document_index: u32,
+    pub document_title: Option<String>,
+    pub start_char_index: u32,
+    pub end_char_index: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub file_id: Option<String>,
+}
+
+/// Page location citation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct PageLocationCitation {
+    pub cited_text: String,
+    pub document_index: u32,
+    pub document_title: Option<String>,
+    pub start_page_number: u32,
+    pub end_page_number: u32,
+}
+
+/// Content block location citation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ContentBlockLocationCitation {
+    pub cited_text: String,
+    pub document_index: u32,
+    pub document_title: Option<String>,
+    pub start_block_index: u32,
+    pub end_block_index: u32,
+}
+
+/// Web search result location citation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebSearchResultLocationCitation {
+    pub cited_text: String,
+    pub url: String,
+    pub title: Option<String>,
+    pub encrypted_index: String,
+}
+
+/// Search result location citation
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct SearchResultLocationCitation {
+    pub cited_text: String,
+    pub search_result_index: u32,
+    pub source: String,
+    pub title: Option<String>,
+    pub start_block_index: u32,
+    pub end_block_index: u32,
+}
+
+// ============================================================================
+// Tool Definitions
+// ============================================================================
+
+/// Tool definition
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum Tool {
+    /// Custom tool definition
+    Custom(CustomTool),
+    /// Bash tool (computer use)
+    Bash(BashTool),
+    /// Text editor tool (computer use)
+    TextEditor(TextEditorTool),
+    /// Web search tool
+    WebSearch(WebSearchTool),
+}
+
+/// Custom tool definition
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CustomTool {
+    /// Name of the tool
+    pub name: String,
+
+    /// Optional type (defaults to "custom")
+    #[serde(rename = "type", skip_serializing_if = "Option::is_none")]
+    pub tool_type: Option<String>,
+
+    /// Description of what this tool does
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub description: Option<String>,
+
+    /// JSON schema for the tool's input
+    pub input_schema: InputSchema,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// JSON Schema for tool input
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct InputSchema {
+    #[serde(rename = "type")]
+    pub schema_type: String,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub properties: Option<HashMap<String, Value>>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub required: Option<Vec<String>>,
+
+    /// Additional properties can be stored here
+    #[serde(flatten)]
+    pub additional: HashMap<String, Value>,
+}
+
+/// Bash tool for computer use
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BashTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "bash_20250124"
+
+    pub name: String, // "bash"
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Text editor tool for computer use
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "text_editor_20250124", etc.
+
+    pub name: String, // "str_replace_editor"
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Web search tool
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebSearchTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "web_search_20250305"
+
+    pub name: String, // "web_search"
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_domains: Option<Vec<String>>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub blocked_domains: Option<Vec<String>>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub max_uses: Option<u32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user_location: Option<UserLocation>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// User location for web search
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct UserLocation {
+    #[serde(rename = "type")]
+    pub location_type: String, // "approximate"
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub city: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub region: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub country: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub timezone: Option<String>,
+}
+
+// ============================================================================
+// Tool Choice
+// ============================================================================
+
+/// How the model should use the provided tools
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ToolChoice {
+    /// The model will automatically decide whether to use tools
+    Auto {
+        #[serde(skip_serializing_if = "Option::is_none")]
+        disable_parallel_tool_use: Option<bool>,
+    },
+    /// The model will use any available tools
+    Any {
+        #[serde(skip_serializing_if = "Option::is_none")]
+        disable_parallel_tool_use: Option<bool>,
+    },
+    /// The model will use the specified tool
+    Tool {
+        name: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        disable_parallel_tool_use: Option<bool>,
+    },
+    /// The model will not use tools
+    None,
+}
+
+// ============================================================================
+// Thinking Configuration
+// ============================================================================
+
+/// Configuration for extended thinking
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ThinkingConfig {
+    /// Enable extended thinking
+    Enabled {
+        /// Budget in tokens for thinking (minimum 1024)
+        budget_tokens: u32,
+    },
+    /// Disable extended thinking
+    Disabled,
+}
+
+// ============================================================================
+// Response Types
+// ============================================================================
+
+/// Response message from the API
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Message {
+    /// Unique object identifier
+    pub id: String,
+
+    /// Object type (always "message")
+    #[serde(rename = "type")]
+    pub message_type: String,
+
+    /// Conversational role (always "assistant")
+    pub role: String,
+
+    /// Content generated by the model
+    pub content: Vec<ContentBlock>,
+
+    /// The model that generated the message
+    pub model: String,
+
+    /// The reason the model stopped generating
+    pub stop_reason: Option<StopReason>,
+
+    /// Which custom stop sequence was generated (if any)
+    pub stop_sequence: Option<String>,
+
+    /// Billing and rate-limit usage
+    pub usage: Usage,
+}
+
+/// Output content block types
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ContentBlock {
+    /// Text content
+    Text {
+        text: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        citations: Option<Vec<Citation>>,
+    },
+    /// Tool use by the model
+    ToolUse {
+        id: String,
+        name: String,
+        input: Value,
+    },
+    /// Thinking content
+    Thinking { thinking: String, signature: String },
+    /// Redacted thinking content
+    RedactedThinking { data: String },
+    /// Server tool use
+    ServerToolUse {
+        id: String,
+        name: String,
+        input: Value,
+    },
+    /// Web search tool result
+    WebSearchToolResult {
+        tool_use_id: String,
+        content: WebSearchToolResultContent,
+    },
+}
+
+/// Stop reasons
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
+#[serde(rename_all = "snake_case")]
+pub enum StopReason {
+    /// The model reached a natural stopping point
+    EndTurn,
+    /// We exceeded the requested max_tokens
+    MaxTokens,
+    /// One of the custom stop_sequences was generated
+    StopSequence,
+    /// The model invoked one or more tools
+    ToolUse,
+    /// We paused a long-running turn
+    PauseTurn,
+    /// Streaming classifiers intervened
+    Refusal,
+}
+
+/// Billing and rate-limit usage
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct Usage {
+    /// The number of input tokens used
+    pub input_tokens: u32,
+
+    /// The number of output tokens used
+    pub output_tokens: u32,
+
+    /// The number of input tokens used to create the cache entry
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_creation_input_tokens: Option<u32>,
+
+    /// The number of input tokens read from the cache
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_read_input_tokens: Option<u32>,
+
+    /// Breakdown of cached tokens by TTL
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_creation: Option<CacheCreation>,
+
+    /// Server tool usage information
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub server_tool_use: Option<ServerToolUsage>,
+
+    /// Service tier used for the request
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub service_tier: Option<String>,
+}
+
+/// Cache creation breakdown
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CacheCreation {
+    #[serde(flatten)]
+    pub tokens_by_ttl: HashMap<String, u32>,
+}
+
+/// Server tool usage information
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ServerToolUsage {
+    pub web_search_requests: u32,
+}
+
+// ============================================================================
+// Streaming Event Types
+// ============================================================================
+
+/// Server-sent event wrapper
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum MessageStreamEvent {
+    /// Start of a new message
+    MessageStart { message: Message },
+    /// Update to a message
+    MessageDelta {
+        delta: MessageDelta,
+        usage: MessageDeltaUsage,
+    },
+    /// End of a message
+    MessageStop,
+    /// Start of a content block
+    ContentBlockStart {
+        index: u32,
+        content_block: ContentBlock,
+    },
+    /// Update to a content block
+    ContentBlockDelta {
+        index: u32,
+        delta: ContentBlockDelta,
+    },
+    /// End of a content block
+    ContentBlockStop { index: u32 },
+    /// Ping event (for keep-alive)
+    Ping,
+    /// Error event
+    Error { error: ErrorResponse },
+}
+
+/// Message delta for streaming updates
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct MessageDelta {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_reason: Option<StopReason>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_sequence: Option<String>,
+}
+
+/// Usage delta for streaming updates
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct MessageDeltaUsage {
+    pub output_tokens: u32,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_tokens: Option<u32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_creation_input_tokens: Option<u32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_read_input_tokens: Option<u32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub server_tool_use: Option<ServerToolUsage>,
+}
+
+/// Content block delta for streaming updates
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ContentBlockDelta {
+    /// Text delta
+    TextDelta { text: String },
+    /// JSON input delta (for tool use)
+    InputJsonDelta { partial_json: String },
+    /// Thinking delta
+    ThinkingDelta { thinking: String },
+    /// Signature delta
+    SignatureDelta { signature: String },
+    /// Citations delta
+    CitationsDelta { citation: Citation },
+}
+
+// ============================================================================
+// Error Types
+// ============================================================================
+
+/// Error response
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ErrorResponse {
+    #[serde(rename = "type")]
+    pub error_type: String,
+
+    pub message: String,
+}
+
+/// API error types
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ApiError {
+    InvalidRequestError { message: String },
+    AuthenticationError { message: String },
+    BillingError { message: String },
+    PermissionError { message: String },
+    NotFoundError { message: String },
+    RateLimitError { message: String },
+    TimeoutError { message: String },
+    ApiError { message: String },
+    OverloadedError { message: String },
+}
+
+// ============================================================================
+// Count Tokens Types
+// ============================================================================
+
+/// Request to count tokens in a message
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CountMessageTokensRequest {
+    /// The model to use for token counting
+    pub model: String,
+
+    /// Input messages
+    pub messages: Vec<InputMessage>,
+
+    /// System prompt
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system: Option<SystemContent>,
+
+    /// Thinking configuration
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub thinking: Option<ThinkingConfig>,
+
+    /// Tool choice
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+
+    /// Tool definitions
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tools: Option<Vec<Tool>>,
+}
+
+/// Response from token counting
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CountMessageTokensResponse {
+    pub input_tokens: u32,
+}
+
+// ============================================================================
+// Model Info Types
+// ============================================================================
+
+/// Model information
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ModelInfo {
+    /// Object type (always "model")
+    #[serde(rename = "type")]
+    pub model_type: String,
+
+    /// Model ID
+    pub id: String,
+
+    /// Display name
+    pub display_name: String,
+
+    /// When the model was created
+    pub created_at: String,
+}
+
+/// List of models response
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ListModelsResponse {
+    pub data: Vec<ModelInfo>,
+    pub has_more: bool,
+    pub first_id: Option<String>,
+    pub last_id: Option<String>,
+}
+
+// ============================================================================
+// Beta Features - Container & MCP Configuration
+// ============================================================================
+
+/// Container configuration for code execution (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ContainerConfig {
+    /// Container ID for reuse across requests
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub id: Option<String>,
+
+    /// Skills to be loaded in the container
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub skills: Option<Vec<String>>,
+}
+
+/// MCP server configuration (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpServerConfig {
+    /// Name of the MCP server
+    pub name: String,
+
+    /// MCP server URL
+    pub url: String,
+
+    /// Authorization token (if required)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub authorization_token: Option<String>,
+
+    /// Tool configuration for this server
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_configuration: Option<McpToolConfiguration>,
+}
+
+/// MCP tool configuration
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolConfiguration {
+    /// Whether to allow all tools
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub enabled: Option<bool>,
+
+    /// Allowed tool names
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_tools: Option<Vec<String>>,
+}
+
+// ============================================================================
+// Beta Features - MCP Tool Types
+// ============================================================================
+
+/// MCP tool use block (beta) - for assistant messages
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolUseBlock {
+    /// Unique identifier for this tool use
+    pub id: String,
+
+    /// Name of the tool being used
+    pub name: String,
+
+    /// Name of the MCP server
+    pub server_name: String,
+
+    /// Input arguments for the tool
+    pub input: Value,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// MCP tool result block (beta) - for user messages
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub content: Option<ToolResultContent>,
+
+    /// Whether this result indicates an error
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub is_error: Option<bool>,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// MCP toolset definition (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolset {
+    #[serde(rename = "type")]
+    pub toolset_type: String, // "mcp_toolset"
+
+    /// Name of the MCP server to configure tools for
+    pub mcp_server_name: String,
+
+    /// Default configuration applied to all tools from this server
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub default_config: Option<McpToolDefaultConfig>,
+
+    /// Configuration overrides for specific tools
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub configs: Option<HashMap<String, McpToolConfig>>,
+
+    /// Cache control for this toolset
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Default configuration for MCP tools
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolDefaultConfig {
+    /// Whether tools are enabled
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub enabled: Option<bool>,
+
+    /// Whether to defer loading
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub defer_loading: Option<bool>,
+}
+
+/// Per-tool MCP configuration
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct McpToolConfig {
+    /// Whether this tool is enabled
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub enabled: Option<bool>,
+
+    /// Whether to defer loading
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub defer_loading: Option<bool>,
+}
+
+// ============================================================================
+// Beta Features - Code Execution Types
+// ============================================================================
+
+/// Code execution tool (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CodeExecutionTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "code_execution_20250522" or "code_execution_20250825"
+
+    pub name: String, // "code_execution"
+
+    /// Allowed callers for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_callers: Option<Vec<String>>,
+
+    /// Whether to defer loading
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub defer_loading: Option<bool>,
+
+    /// Whether to use strict mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub strict: Option<bool>,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Code execution result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CodeExecutionResultBlock {
+    /// Stdout output
+    pub stdout: String,
+
+    /// Stderr output
+    pub stderr: String,
+
+    /// Return code
+    pub return_code: i32,
+
+    /// Output files
+    pub content: Vec<CodeExecutionOutputBlock>,
+}
+
+/// Code execution output file reference
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CodeExecutionOutputBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "code_execution_output"
+
+    /// File ID
+    pub file_id: String,
+}
+
+/// Code execution tool result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CodeExecutionToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content (success or error)
+    pub content: CodeExecutionToolResultContent,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Code execution tool result content
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum CodeExecutionToolResultContent {
+    Success(CodeExecutionResultBlock),
+    Error(CodeExecutionToolResultError),
+}
+
+/// Code execution tool result error
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct CodeExecutionToolResultError {
+    #[serde(rename = "type")]
+    pub error_type: String, // "code_execution_tool_result_error"
+
+    pub error_code: CodeExecutionToolResultErrorCode,
+}
+
+/// Code execution error codes
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum CodeExecutionToolResultErrorCode {
+    Unavailable,
+    CodeExecutionExceededTimeout,
+    ContainerExpired,
+    InvalidToolInput,
+}
+
+/// Bash code execution result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BashCodeExecutionResultBlock {
+    /// Stdout output
+    pub stdout: String,
+
+    /// Stderr output
+    pub stderr: String,
+
+    /// Return code
+    pub return_code: i32,
+
+    /// Output files
+    pub content: Vec<BashCodeExecutionOutputBlock>,
+}
+
+/// Bash code execution output file reference
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BashCodeExecutionOutputBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "bash_code_execution_output"
+
+    /// File ID
+    pub file_id: String,
+}
+
+/// Bash code execution tool result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BashCodeExecutionToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content (success or error)
+    pub content: BashCodeExecutionToolResultContent,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Bash code execution tool result content
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum BashCodeExecutionToolResultContent {
+    Success(BashCodeExecutionResultBlock),
+    Error(BashCodeExecutionToolResultError),
+}
+
+/// Bash code execution tool result error
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct BashCodeExecutionToolResultError {
+    #[serde(rename = "type")]
+    pub error_type: String, // "bash_code_execution_tool_result_error"
+
+    pub error_code: BashCodeExecutionToolResultErrorCode,
+}
+
+/// Bash code execution error codes
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum BashCodeExecutionToolResultErrorCode {
+    Unavailable,
+    CodeExecutionExceededTimeout,
+    ContainerExpired,
+    InvalidToolInput,
+}
+
+/// Text editor code execution tool result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorCodeExecutionToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content
+    pub content: TextEditorCodeExecutionToolResultContent,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Text editor code execution result content
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum TextEditorCodeExecutionToolResultContent {
+    CreateResult(TextEditorCodeExecutionCreateResultBlock),
+    StrReplaceResult(TextEditorCodeExecutionStrReplaceResultBlock),
+    ViewResult(TextEditorCodeExecutionViewResultBlock),
+    Error(TextEditorCodeExecutionToolResultError),
+}
+
+/// Text editor create result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorCodeExecutionCreateResultBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "text_editor_code_execution_create_result"
+}
+
+/// Text editor str_replace result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorCodeExecutionStrReplaceResultBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "text_editor_code_execution_str_replace_result"
+
+    /// Snippet of content around the replacement
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub snippet: Option<String>,
+}
+
+/// Text editor view result block
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorCodeExecutionViewResultBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "text_editor_code_execution_view_result"
+
+    /// Content of the viewed file
+    pub content: String,
+}
+
+/// Text editor code execution tool result error
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TextEditorCodeExecutionToolResultError {
+    #[serde(rename = "type")]
+    pub error_type: String,
+
+    pub error_code: TextEditorCodeExecutionToolResultErrorCode,
+}
+
+/// Text editor code execution error codes
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum TextEditorCodeExecutionToolResultErrorCode {
+    Unavailable,
+    InvalidToolInput,
+    FileNotFound,
+    ContainerExpired,
+}
+
+// ============================================================================
+// Beta Features - Web Fetch Types
+// ============================================================================
+
+/// Web fetch tool (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebFetchTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "web_fetch_20250305" or similar
+
+    pub name: String, // "web_fetch"
+
+    /// Allowed callers for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_callers: Option<Vec<String>>,
+
+    /// Maximum number of uses
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub max_uses: Option<u32>,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Web fetch result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebFetchResultBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "web_fetch_result"
+
+    /// The URL that was fetched
+    pub url: String,
+
+    /// The document content
+    pub content: DocumentBlock,
+
+    /// When the content was retrieved
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub retrieved_at: Option<String>,
+}
+
+/// Web fetch tool result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebFetchToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The result content (success or error)
+    pub content: WebFetchToolResultContent,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Web fetch tool result content
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum WebFetchToolResultContent {
+    Success(WebFetchResultBlock),
+    Error(WebFetchToolResultError),
+}
+
+/// Web fetch tool result error
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WebFetchToolResultError {
+    #[serde(rename = "type")]
+    pub error_type: String, // "web_fetch_tool_result_error"
+
+    pub error_code: WebFetchToolResultErrorCode,
+}
+
+/// Web fetch error codes
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum WebFetchToolResultErrorCode {
+    InvalidToolInput,
+    Unavailable,
+    MaxUsesExceeded,
+    TooManyRequests,
+    UrlNotAllowed,
+    FetchFailed,
+    ContentTooLarge,
+}
+
+// ============================================================================
+// Beta Features - Tool Search Types
+// ============================================================================
+
+/// Tool search tool (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolSearchTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "tool_search_tool_regex" or "tool_search_tool_bm25"
+
+    pub name: String,
+
+    /// Allowed callers for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_callers: Option<Vec<String>>,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+/// Tool reference block (beta) - returned by tool search
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolReferenceBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "tool_reference"
+
+    /// Tool name
+    pub tool_name: String,
+
+    /// Tool description
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub description: Option<String>,
+}
+
+/// Tool search result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolSearchResultBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "tool_search_tool_search_result"
+
+    /// Tool name
+    pub tool_name: String,
+
+    /// Relevance score
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub score: Option<f64>,
+}
+
+/// Tool search tool result block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ToolSearchToolResultBlock {
+    /// The ID of the tool use this is a result for
+    pub tool_use_id: String,
+
+    /// The search results
+    pub content: Vec<ToolSearchResultBlock>,
+
+    /// Cache control for this block
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+// ============================================================================
+// Beta Features - Container Upload Types
+// ============================================================================
+
+/// Container upload block (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ContainerUploadBlock {
+    #[serde(rename = "type")]
+    pub block_type: String, // "container_upload"
+
+    /// File ID
+    pub file_id: String,
+
+    /// File name
+    pub file_name: String,
+
+    /// File path in container
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub file_path: Option<String>,
+}
+
+// ============================================================================
+// Beta Features - Memory Tool Types
+// ============================================================================
+
+/// Memory tool (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct MemoryTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "memory_20250818"
+
+    pub name: String, // "memory"
+
+    /// Allowed callers for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_callers: Option<Vec<String>>,
+
+    /// Whether to defer loading
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub defer_loading: Option<bool>,
+
+    /// Whether to use strict mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub strict: Option<bool>,
+
+    /// Input examples
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_examples: Option<Vec<Value>>,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+// ============================================================================
+// Beta Features - Computer Use Tool Types
+// ============================================================================
+
+/// Computer use tool (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ComputerUseTool {
+    #[serde(rename = "type")]
+    pub tool_type: String, // "computer_20241022" or "computer_20250124"
+
+    pub name: String, // "computer"
+
+    /// Display width
+    pub display_width_px: u32,
+
+    /// Display height
+    pub display_height_px: u32,
+
+    /// Display number (optional)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub display_number: Option<u32>,
+
+    /// Allowed callers for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_callers: Option<Vec<String>>,
+
+    /// Cache control for this tool
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cache_control: Option<CacheControl>,
+}
+
+// ============================================================================
+// Beta Features - Extended Input Content Block Enum
+// ============================================================================
+
+/// Beta input content block types (extends InputContentBlock)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum BetaInputContentBlock {
+    // Standard types
+    Text(TextBlock),
+    Image(ImageBlock),
+    Document(DocumentBlock),
+    ToolUse(ToolUseBlock),
+    ToolResult(ToolResultBlock),
+    Thinking(ThinkingBlock),
+    RedactedThinking(RedactedThinkingBlock),
+    ServerToolUse(ServerToolUseBlock),
+    SearchResult(SearchResultBlock),
+    WebSearchToolResult(WebSearchToolResultBlock),
+
+    // Beta MCP types
+    McpToolUse(McpToolUseBlock),
+    McpToolResult(McpToolResultBlock),
+
+    // Beta code execution types
+    CodeExecutionToolResult(CodeExecutionToolResultBlock),
+    BashCodeExecutionToolResult(BashCodeExecutionToolResultBlock),
+    TextEditorCodeExecutionToolResult(TextEditorCodeExecutionToolResultBlock),
+
+    // Beta web fetch types
+    WebFetchToolResult(WebFetchToolResultBlock),
+
+    // Beta tool search types
+    ToolSearchToolResult(ToolSearchToolResultBlock),
+    ToolReference(ToolReferenceBlock),
+
+    // Beta container types
+    ContainerUpload(ContainerUploadBlock),
+}
+
+/// Beta output content block types (extends ContentBlock)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum BetaContentBlock {
+    // Standard types
+    Text {
+        text: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        citations: Option<Vec<Citation>>,
+    },
+    ToolUse {
+        id: String,
+        name: String,
+        input: Value,
+    },
+    Thinking {
+        thinking: String,
+        signature: String,
+    },
+    RedactedThinking {
+        data: String,
+    },
+    ServerToolUse {
+        id: String,
+        name: String,
+        input: Value,
+    },
+    WebSearchToolResult {
+        tool_use_id: String,
+        content: WebSearchToolResultContent,
+    },
+
+    // Beta MCP types
+    McpToolUse {
+        id: String,
+        name: String,
+        server_name: String,
+        input: Value,
+    },
+    McpToolResult {
+        tool_use_id: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        content: Option<ToolResultContent>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        is_error: Option<bool>,
+    },
+
+    // Beta code execution types
+    CodeExecutionToolResult {
+        tool_use_id: String,
+        content: CodeExecutionToolResultContent,
+    },
+    BashCodeExecutionToolResult {
+        tool_use_id: String,
+        content: BashCodeExecutionToolResultContent,
+    },
+    TextEditorCodeExecutionToolResult {
+        tool_use_id: String,
+        content: TextEditorCodeExecutionToolResultContent,
+    },
+
+    // Beta web fetch types
+    WebFetchToolResult {
+        tool_use_id: String,
+        content: WebFetchToolResultContent,
+    },
+
+    // Beta tool search types
+    ToolSearchToolResult {
+        tool_use_id: String,
+        content: Vec<ToolSearchResultBlock>,
+    },
+    ToolReference {
+        tool_name: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        description: Option<String>,
+    },
+
+    // Beta container types
+    ContainerUpload {
+        file_id: String,
+        file_name: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        file_path: Option<String>,
+    },
+}
+
+/// Beta tool definition (extends Tool)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum BetaTool {
+    // Standard tools
+    Custom(CustomTool),
+    Bash(BashTool),
+    TextEditor(TextEditorTool),
+    WebSearch(WebSearchTool),
+
+    // Beta tools
+    CodeExecution(CodeExecutionTool),
+    McpToolset(McpToolset),
+    WebFetch(WebFetchTool),
+    ToolSearch(ToolSearchTool),
+    Memory(MemoryTool),
+    ComputerUse(ComputerUseTool),
+}
+
+/// Server tool names for beta features
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(rename_all = "snake_case")]
+pub enum BetaServerToolName {
+    WebSearch,
+    WebFetch,
+    CodeExecution,
+    BashCodeExecution,
+    TextEditorCodeExecution,
+    ToolSearchToolRegex,
+    ToolSearchToolBm25,
+}
+
+/// Server tool caller types (beta)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ServerToolCaller {
+    /// Direct caller (the model itself)
+    Direct,
+    /// Code execution caller
+    #[serde(rename = "code_execution_20250825")]
+    CodeExecution20250825,
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/parser.rs b/sgl-model-gateway/vendor/openai-protocol/src/parser.rs
new file mode 100644
index 000000000000..3d1f03f74694
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/parser.rs
@@ -0,0 +1,23 @@
+use serde::Deserialize;
+
+use crate::common::Tool;
+
+/// Request to parse function calls from model output text
+#[derive(Deserialize)]
+pub struct ParseFunctionCallRequest {
+    /// The text to parse for function calls
+    pub text: String,
+    /// The parser type/name to use for parsing (e.g., "json", "pythonic")
+    pub tool_call_parser: String,
+    /// The list of available tools that the model can call
+    pub tools: Vec<Tool>,
+}
+
+/// Request to separate reasoning from normal text in model output
+#[derive(Deserialize)]
+pub struct SeparateReasoningRequest {
+    /// The text to parse for reasoning content
+    pub text: String,
+    /// The parser type/name to use for reasoning detection (e.g., "step3", "deepseek_r1")
+    pub reasoning_parser: String,
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/rerank.rs b/sgl-model-gateway/vendor/openai-protocol/src/rerank.rs
new file mode 100644
index 000000000000..6775f5d8a407
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/rerank.rs
@@ -0,0 +1,212 @@
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use validator::Validate;
+
+use super::common::{default_model, default_true, GenerationRequest, StringOrArray, UsageInfo};
+
+fn default_rerank_object() -> String {
+    "rerank".to_string()
+}
+
+/// TODO: Create timestamp should not be in protocol layer
+fn current_timestamp() -> i64 {
+    std::time::SystemTime::now()
+        .duration_since(std::time::UNIX_EPOCH)
+        .unwrap_or_else(|_| std::time::Duration::from_secs(0))
+        .as_secs() as i64
+}
+
+// ============================================================================
+// Rerank API
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize, Validate)]
+#[validate(schema(function = "validate_rerank_request"))]
+pub struct RerankRequest {
+    /// The query text to rank documents against
+    #[validate(custom(function = "validate_query"))]
+    pub query: String,
+
+    /// List of documents to be ranked
+    #[validate(custom(function = "validate_documents"))]
+    pub documents: Vec<String>,
+
+    /// Model to use for reranking
+    #[serde(default = "default_model")]
+    pub model: String,
+
+    /// Maximum number of documents to return (optional)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1))]
+    pub top_k: Option<usize>,
+
+    /// Whether to return documents in addition to scores
+    #[serde(default = "default_true")]
+    pub return_documents: bool,
+
+    // SGLang specific extensions
+    /// Request ID for tracking
+    pub rid: Option<StringOrArray>,
+
+    /// User identifier
+    pub user: Option<String>,
+}
+
+impl GenerationRequest for RerankRequest {
+    fn get_model(&self) -> Option<&str> {
+        Some(&self.model)
+    }
+
+    fn is_stream(&self) -> bool {
+        false // Reranking doesn't support streaming
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        self.query.clone()
+    }
+}
+
+impl super::validated::Normalizable for RerankRequest {
+    // Use default no-op normalization
+}
+
+// ============================================================================
+// Validation Functions
+// ============================================================================
+
+/// Validates that the query is not empty
+fn validate_query(query: &str) -> Result<(), validator::ValidationError> {
+    if query.trim().is_empty() {
+        return Err(validator::ValidationError::new("query cannot be empty"));
+    }
+    Ok(())
+}
+
+/// Validates that the documents list is not empty
+fn validate_documents(documents: &[String]) -> Result<(), validator::ValidationError> {
+    if documents.is_empty() {
+        return Err(validator::ValidationError::new(
+            "documents list cannot be empty",
+        ));
+    }
+    Ok(())
+}
+
+/// Schema-level validation for cross-field dependencies
+fn validate_rerank_request(req: &RerankRequest) -> Result<(), validator::ValidationError> {
+    // Validate top_k if specified
+    if let Some(k) = req.top_k {
+        if k > req.documents.len() {
+            // This is allowed but we log a warning
+            tracing::warn!(
+                "top_k ({}) is greater than number of documents ({})",
+                k,
+                req.documents.len()
+            );
+        }
+    }
+    Ok(())
+}
+
+impl RerankRequest {
+    /// Get the effective top_k value
+    pub fn effective_top_k(&self) -> usize {
+        self.top_k.unwrap_or(self.documents.len())
+    }
+}
+
+/// Individual rerank result
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RerankResult {
+    /// Relevance score for the document
+    pub score: f32,
+
+    /// The document text (if return_documents was true)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub document: Option<String>,
+
+    /// Original index of the document in the request
+    pub index: usize,
+
+    /// Additional metadata about the ranking
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub meta_info: Option<HashMap<String, Value>>,
+}
+
+/// Rerank response containing sorted results
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RerankResponse {
+    /// Ranked results sorted by score (highest first)
+    pub results: Vec<RerankResult>,
+
+    /// Model used for reranking
+    pub model: String,
+
+    /// Usage information
+    pub usage: Option<UsageInfo>,
+
+    /// Response object type
+    #[serde(default = "default_rerank_object")]
+    pub object: String,
+
+    /// Response ID
+    pub id: Option<StringOrArray>,
+
+    /// Creation timestamp
+    pub created: i64,
+}
+
+impl RerankResponse {
+    /// Create a new RerankResponse with the given results and model
+    pub fn new(
+        results: Vec<RerankResult>,
+        model: String,
+        request_id: Option<StringOrArray>,
+    ) -> Self {
+        RerankResponse {
+            results,
+            model,
+            usage: None,
+            object: default_rerank_object(),
+            id: request_id,
+            created: current_timestamp(),
+        }
+    }
+
+    /// Apply top_k limit to results
+    pub fn apply_top_k(&mut self, k: usize) {
+        self.results.truncate(k);
+    }
+
+    /// Drop documents from results (when return_documents is false)
+    pub fn drop_documents(&mut self) {
+        for result in &mut self.results {
+            result.document = None;
+        }
+    }
+}
+
+/// V1 API compatibility format for rerank requests
+/// Matches Python's V1RerankReqInput
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct V1RerankReqInput {
+    pub query: String,
+    pub documents: Vec<String>,
+}
+
+/// Convert V1RerankReqInput to RerankRequest
+impl From<V1RerankReqInput> for RerankRequest {
+    fn from(v1: V1RerankReqInput) -> Self {
+        RerankRequest {
+            query: v1.query,
+            documents: v1.documents,
+            model: default_model(),
+            top_k: None,
+            return_documents: true,
+            rid: None,
+            user: None,
+        }
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/responses.rs b/sgl-model-gateway/vendor/openai-protocol/src/responses.rs
new file mode 100644
index 000000000000..68f649f243c0
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/responses.rs
@@ -0,0 +1,1298 @@
+// OpenAI Responses API types
+// https://platform.openai.com/docs/api-reference/responses
+
+use std::collections::HashMap;
+
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use validator::Validate;
+
+use super::{
+    common::{
+        default_model, default_true, validate_stop, ChatLogProbs, Function, GenerationRequest,
+        PromptTokenUsageInfo, StringOrArray, ToolChoice, ToolChoiceValue, ToolReference, UsageInfo,
+    },
+    sampling_params::{validate_top_k_value, validate_top_p_value},
+};
+use crate::{builders::ResponsesResponseBuilder, validated::Normalizable};
+
+// ============================================================================
+// Response Tools (MCP and others)
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ResponseTool {
+    #[serde(rename = "type")]
+    pub r#type: ResponseToolType,
+    // Function tool fields (used when type == "function")
+    // In Responses API, function fields are flattened at the top level
+    #[serde(flatten)]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub function: Option<Function>,
+    // MCP-specific fields (used when type == "mcp")
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub server_url: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub authorization: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub server_label: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub server_description: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub require_approval: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub allowed_tools: Option<Vec<String>>,
+}
+
+impl Default for ResponseTool {
+    fn default() -> Self {
+        Self {
+            r#type: ResponseToolType::WebSearchPreview,
+            function: None,
+            server_url: None,
+            authorization: None,
+            server_label: None,
+            server_description: None,
+            require_approval: None,
+            allowed_tools: None,
+        }
+    }
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseToolType {
+    Function,
+    WebSearchPreview,
+    CodeInterpreter,
+    Mcp,
+}
+
+// ============================================================================
+// Reasoning Parameters
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ResponseReasoningParam {
+    #[serde(default = "default_reasoning_effort")]
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub effort: Option<ReasoningEffort>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub summary: Option<ReasoningSummary>,
+}
+
+fn default_reasoning_effort() -> Option<ReasoningEffort> {
+    Some(ReasoningEffort::Medium)
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(rename_all = "snake_case")]
+pub enum ReasoningEffort {
+    Minimal,
+    Low,
+    Medium,
+    High,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(rename_all = "snake_case")]
+pub enum ReasoningSummary {
+    Auto,
+    Concise,
+    Detailed,
+}
+
+// ============================================================================
+// Input/Output Items
+// ============================================================================
+
+/// Content can be either a simple string or array of content parts (for SimpleInputMessage)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum StringOrContentParts {
+    String(String),
+    Array(Vec<ResponseContentPart>),
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseInputOutputItem {
+    #[serde(rename = "message")]
+    Message {
+        id: String,
+        role: String,
+        content: Vec<ResponseContentPart>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        status: Option<String>,
+    },
+    #[serde(rename = "reasoning")]
+    Reasoning {
+        id: String,
+        summary: Vec<String>,
+        #[serde(skip_serializing_if = "Vec::is_empty")]
+        #[serde(default)]
+        content: Vec<ResponseReasoningContent>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        status: Option<String>,
+    },
+    #[serde(rename = "function_call")]
+    FunctionToolCall {
+        id: String,
+        call_id: String,
+        name: String,
+        arguments: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        output: Option<String>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        status: Option<String>,
+    },
+    #[serde(rename = "function_call_output")]
+    FunctionCallOutput {
+        id: Option<String>,
+        call_id: String,
+        output: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        status: Option<String>,
+    },
+    #[serde(untagged)]
+    SimpleInputMessage {
+        content: StringOrContentParts,
+        role: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        #[serde(rename = "type")]
+        r#type: Option<String>,
+    },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseContentPart {
+    #[serde(rename = "output_text")]
+    OutputText {
+        text: String,
+        #[serde(default)]
+        #[serde(skip_serializing_if = "Vec::is_empty")]
+        annotations: Vec<String>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        logprobs: Option<ChatLogProbs>,
+    },
+    #[serde(rename = "input_text")]
+    InputText { text: String },
+    #[serde(other)]
+    Unknown,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseReasoningContent {
+    #[serde(rename = "reasoning_text")]
+    ReasoningText { text: String },
+}
+
+/// MCP Tool information for the mcp_list_tools output item
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct McpToolInfo {
+    pub name: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub description: Option<String>,
+    pub input_schema: Value,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub annotations: Option<Value>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseOutputItem {
+    #[serde(rename = "message")]
+    Message {
+        id: String,
+        role: String,
+        content: Vec<ResponseContentPart>,
+        status: String,
+    },
+    #[serde(rename = "reasoning")]
+    Reasoning {
+        id: String,
+        summary: Vec<String>,
+        content: Vec<ResponseReasoningContent>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        status: Option<String>,
+    },
+    #[serde(rename = "function_call")]
+    FunctionToolCall {
+        id: String,
+        call_id: String,
+        name: String,
+        arguments: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        output: Option<String>,
+        status: String,
+    },
+    #[serde(rename = "mcp_list_tools")]
+    McpListTools {
+        id: String,
+        server_label: String,
+        tools: Vec<McpToolInfo>,
+    },
+    #[serde(rename = "mcp_call")]
+    McpCall {
+        id: String,
+        status: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        approval_request_id: Option<String>,
+        arguments: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        error: Option<String>,
+        name: String,
+        output: String,
+        server_label: String,
+    },
+}
+
+// ============================================================================
+// Configuration Enums
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize, Default)]
+#[serde(rename_all = "snake_case")]
+pub enum ServiceTier {
+    #[default]
+    Auto,
+    Default,
+    Flex,
+    Scale,
+    Priority,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, Default)]
+#[serde(rename_all = "snake_case")]
+pub enum Truncation {
+    Auto,
+    #[default]
+    Disabled,
+}
+
+#[derive(Debug, Clone, PartialEq, Deserialize, Serialize)]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseStatus {
+    Queued,
+    InProgress,
+    Completed,
+    Failed,
+    Cancelled,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ReasoningInfo {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub effort: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub summary: Option<String>,
+}
+
+// ============================================================================
+// Text Format (structured outputs)
+// ============================================================================
+
+/// Text configuration for structured output requests
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct TextConfig {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub format: Option<TextFormat>,
+}
+
+/// Text format: text (default), json_object (legacy), or json_schema (recommended)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(tag = "type")]
+pub enum TextFormat {
+    #[serde(rename = "text")]
+    Text,
+
+    #[serde(rename = "json_object")]
+    JsonObject,
+
+    #[serde(rename = "json_schema")]
+    JsonSchema {
+        name: String,
+        schema: Value,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        description: Option<String>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        strict: Option<bool>,
+    },
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize, PartialEq)]
+#[serde(rename_all = "snake_case")]
+pub enum IncludeField {
+    #[serde(rename = "code_interpreter_call.outputs")]
+    CodeInterpreterCallOutputs,
+    #[serde(rename = "computer_call_output.output.image_url")]
+    ComputerCallOutputImageUrl,
+    #[serde(rename = "file_search_call.results")]
+    FileSearchCallResults,
+    #[serde(rename = "message.input_image.image_url")]
+    MessageInputImageUrl,
+    #[serde(rename = "message.output_text.logprobs")]
+    MessageOutputTextLogprobs,
+    #[serde(rename = "reasoning.encrypted_content")]
+    ReasoningEncryptedContent,
+}
+
+// ============================================================================
+// Usage Types (Responses API format)
+// ============================================================================
+
+/// OpenAI Responses API usage format (different from standard UsageInfo)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ResponseUsage {
+    pub input_tokens: u32,
+    pub output_tokens: u32,
+    pub total_tokens: u32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub input_tokens_details: Option<InputTokensDetails>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub output_tokens_details: Option<OutputTokensDetails>,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum ResponsesUsage {
+    Classic(UsageInfo),
+    Modern(ResponseUsage),
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct InputTokensDetails {
+    pub cached_tokens: u32,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct OutputTokensDetails {
+    pub reasoning_tokens: u32,
+}
+
+impl UsageInfo {
+    /// Convert to OpenAI Responses API format
+    pub fn to_response_usage(&self) -> ResponseUsage {
+        ResponseUsage {
+            input_tokens: self.prompt_tokens,
+            output_tokens: self.completion_tokens,
+            total_tokens: self.total_tokens,
+            input_tokens_details: self.prompt_tokens_details.as_ref().map(|details| {
+                InputTokensDetails {
+                    cached_tokens: details.cached_tokens,
+                }
+            }),
+            output_tokens_details: self.reasoning_tokens.map(|tokens| OutputTokensDetails {
+                reasoning_tokens: tokens,
+            }),
+        }
+    }
+}
+
+impl From<UsageInfo> for ResponseUsage {
+    fn from(usage: UsageInfo) -> Self {
+        usage.to_response_usage()
+    }
+}
+
+impl ResponseUsage {
+    /// Convert back to standard UsageInfo format
+    pub fn to_usage_info(&self) -> UsageInfo {
+        UsageInfo {
+            prompt_tokens: self.input_tokens,
+            completion_tokens: self.output_tokens,
+            total_tokens: self.total_tokens,
+            reasoning_tokens: self
+                .output_tokens_details
+                .as_ref()
+                .map(|details| details.reasoning_tokens),
+            prompt_tokens_details: self.input_tokens_details.as_ref().map(|details| {
+                PromptTokenUsageInfo {
+                    cached_tokens: details.cached_tokens,
+                }
+            }),
+        }
+    }
+}
+
+#[derive(Debug, Clone, Default, Deserialize, Serialize)]
+pub struct ResponsesGetParams {
+    #[serde(default)]
+    pub include: Vec<String>,
+    #[serde(default)]
+    pub include_obfuscation: Option<bool>,
+    #[serde(default)]
+    pub starting_after: Option<i64>,
+    #[serde(default)]
+    pub stream: Option<bool>,
+}
+
+impl ResponsesUsage {
+    pub fn to_response_usage(&self) -> ResponseUsage {
+        match self {
+            ResponsesUsage::Classic(usage) => usage.to_response_usage(),
+            ResponsesUsage::Modern(usage) => usage.clone(),
+        }
+    }
+
+    pub fn to_usage_info(&self) -> UsageInfo {
+        match self {
+            ResponsesUsage::Classic(usage) => usage.clone(),
+            ResponsesUsage::Modern(usage) => usage.to_usage_info(),
+        }
+    }
+}
+
+// ============================================================================
+// Helper Functions for Defaults
+// ============================================================================
+
+fn default_top_k() -> i32 {
+    -1
+}
+
+fn default_repetition_penalty() -> f32 {
+    1.0
+}
+
+fn default_temperature() -> Option<f32> {
+    Some(1.0)
+}
+
+fn default_top_p() -> Option<f32> {
+    Some(1.0)
+}
+
+// ============================================================================
+// Request/Response Types
+// ============================================================================
+
+#[derive(Debug, Clone, Deserialize, Serialize, Validate)]
+#[validate(schema(function = "validate_responses_cross_parameters"))]
+pub struct ResponsesRequest {
+    /// Run the request in the background
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub background: Option<bool>,
+
+    /// Fields to include in the response
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub include: Option<Vec<IncludeField>>,
+
+    /// Input content - can be string or structured items
+    #[validate(custom(function = "validate_response_input"))]
+    pub input: ResponseInput,
+
+    /// System instructions for the model
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub instructions: Option<String>,
+
+    /// Maximum number of output tokens
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1))]
+    pub max_output_tokens: Option<u32>,
+
+    /// Maximum number of tool calls
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 1))]
+    pub max_tool_calls: Option<u32>,
+
+    /// Additional metadata
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub metadata: Option<HashMap<String, Value>>,
+
+    /// Model to use
+    #[serde(default = "default_model")]
+    pub model: String,
+
+    /// Optional conversation id to persist input/output as items
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_conversation_id"))]
+    pub conversation: Option<String>,
+
+    /// Whether to enable parallel tool calls
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub parallel_tool_calls: Option<bool>,
+
+    /// ID of previous response to continue from
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub previous_response_id: Option<String>,
+
+    /// Reasoning configuration
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning: Option<ResponseReasoningParam>,
+
+    /// Service tier
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub service_tier: Option<ServiceTier>,
+
+    /// Whether to store the response
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub store: Option<bool>,
+
+    /// Whether to stream the response
+    #[serde(default)]
+    pub stream: Option<bool>,
+
+    /// Temperature for sampling
+    #[serde(
+        default = "default_temperature",
+        skip_serializing_if = "Option::is_none"
+    )]
+    #[validate(range(min = 0.0, max = 2.0))]
+    pub temperature: Option<f32>,
+
+    /// Tool choice behavior
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+
+    /// Available tools
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_response_tools"))]
+    pub tools: Option<Vec<ResponseTool>>,
+
+    /// Number of top logprobs to return
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0, max = 20))]
+    pub top_logprobs: Option<u32>,
+
+    /// Top-p sampling parameter
+    #[serde(default = "default_top_p", skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_top_p_value"))]
+    pub top_p: Option<f32>,
+
+    /// Truncation behavior
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub truncation: Option<Truncation>,
+
+    /// Text format for structured outputs (text, json_object, json_schema)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_text_format"))]
+    pub text: Option<TextConfig>,
+
+    /// User identifier
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user: Option<String>,
+
+    /// Request ID
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub request_id: Option<String>,
+
+    /// Request priority
+    #[serde(default)]
+    pub priority: i32,
+
+    /// Frequency penalty
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub frequency_penalty: Option<f32>,
+
+    /// Presence penalty
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub presence_penalty: Option<f32>,
+
+    /// Stop sequences
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_stop"))]
+    pub stop: Option<StringOrArray>,
+
+    /// Top-k sampling parameter (SGLang extension)
+    #[serde(default = "default_top_k")]
+    #[validate(custom(function = "validate_top_k_value"))]
+    pub top_k: i32,
+
+    /// Min-p sampling parameter (SGLang extension)
+    #[serde(default)]
+    #[validate(range(min = 0.0, max = 1.0))]
+    pub min_p: f32,
+
+    /// Repetition penalty (SGLang extension)
+    #[serde(default = "default_repetition_penalty")]
+    #[validate(range(min = 0.0, max = 2.0))]
+    pub repetition_penalty: f32,
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum ResponseInput {
+    Items(Vec<ResponseInputOutputItem>),
+    Text(String),
+}
+
+impl Default for ResponsesRequest {
+    fn default() -> Self {
+        Self {
+            background: None,
+            include: None,
+            input: ResponseInput::Text(String::new()),
+            instructions: None,
+            max_output_tokens: None,
+            max_tool_calls: None,
+            metadata: None,
+            model: default_model(),
+            conversation: None,
+            parallel_tool_calls: None,
+            previous_response_id: None,
+            reasoning: None,
+            service_tier: None,
+            store: None,
+            stream: None,
+            temperature: None,
+            tool_choice: None,
+            tools: None,
+            top_logprobs: None,
+            top_p: None,
+            truncation: None,
+            text: None,
+            user: None,
+            request_id: None,
+            priority: 0,
+            frequency_penalty: None,
+            presence_penalty: None,
+            stop: None,
+            top_k: default_top_k(),
+            min_p: 0.0,
+            repetition_penalty: default_repetition_penalty(),
+        }
+    }
+}
+
+impl Normalizable for ResponsesRequest {
+    /// Normalize the request by applying defaults:
+    /// 1. Apply tool_choice defaults based on tools presence
+    /// 2. Apply parallel_tool_calls defaults
+    /// 3. Apply store field defaults
+    fn normalize(&mut self) {
+        // 1. Apply tool_choice defaults
+        if self.tool_choice.is_none() {
+            if let Some(tools) = &self.tools {
+                let choice_value = if !tools.is_empty() {
+                    ToolChoiceValue::Auto
+                } else {
+                    ToolChoiceValue::None
+                };
+                self.tool_choice = Some(ToolChoice::Value(choice_value));
+            }
+            // If tools is None, leave tool_choice as None (don't set it)
+        }
+
+        // 2. Apply default for parallel_tool_calls if tools are present
+        if self.parallel_tool_calls.is_none() && self.tools.is_some() {
+            self.parallel_tool_calls = Some(true);
+        }
+
+        // 3. Ensure store defaults to true if not specified
+        if self.store.is_none() {
+            self.store = Some(true);
+        }
+    }
+}
+
+impl GenerationRequest for ResponsesRequest {
+    fn is_stream(&self) -> bool {
+        self.stream.unwrap_or(false)
+    }
+
+    fn get_model(&self) -> Option<&str> {
+        Some(self.model.as_str())
+    }
+
+    fn extract_text_for_routing(&self) -> String {
+        match &self.input {
+            ResponseInput::Text(text) => text.clone(),
+            ResponseInput::Items(items) => items
+                .iter()
+                .filter_map(|item| match item {
+                    ResponseInputOutputItem::Message { content, .. } => {
+                        let texts: Vec<String> = content
+                            .iter()
+                            .filter_map(|part| match part {
+                                ResponseContentPart::OutputText { text, .. } => Some(text.clone()),
+                                ResponseContentPart::InputText { text } => Some(text.clone()),
+                                ResponseContentPart::Unknown => None,
+                            })
+                            .collect();
+                        if texts.is_empty() {
+                            None
+                        } else {
+                            Some(texts.join(" "))
+                        }
+                    }
+                    ResponseInputOutputItem::SimpleInputMessage { content, .. } => {
+                        match content {
+                            StringOrContentParts::String(s) => Some(s.clone()),
+                            StringOrContentParts::Array(parts) => {
+                                // SimpleInputMessage only supports InputText
+                                let texts: Vec<String> = parts
+                                    .iter()
+                                    .filter_map(|part| match part {
+                                        ResponseContentPart::InputText { text } => {
+                                            Some(text.clone())
+                                        }
+                                        _ => None,
+                                    })
+                                    .collect();
+                                if texts.is_empty() {
+                                    None
+                                } else {
+                                    Some(texts.join(" "))
+                                }
+                            }
+                        }
+                    }
+                    ResponseInputOutputItem::Reasoning { content, .. } => {
+                        let texts: Vec<String> = content
+                            .iter()
+                            .map(|part| match part {
+                                ResponseReasoningContent::ReasoningText { text } => text.clone(),
+                            })
+                            .collect();
+                        if texts.is_empty() {
+                            None
+                        } else {
+                            Some(texts.join(" "))
+                        }
+                    }
+                    ResponseInputOutputItem::FunctionToolCall { arguments, .. } => {
+                        Some(arguments.clone())
+                    }
+                    ResponseInputOutputItem::FunctionCallOutput { output, .. } => {
+                        Some(output.clone())
+                    }
+                })
+                .collect::<Vec<String>>()
+                .join(" "),
+        }
+    }
+}
+
+/// Validate conversation ID format
+pub fn validate_conversation_id(conv_id: &str) -> Result<(), validator::ValidationError> {
+    if !conv_id.starts_with("conv_") {
+        let mut error = validator::ValidationError::new("invalid_conversation_id");
+        error.message = Some(std::borrow::Cow::Owned(format!(
+            "Invalid 'conversation': '{}'. Expected an ID that begins with 'conv_'.",
+            conv_id
+        )));
+        return Err(error);
+    }
+
+    // Check if the conversation ID contains only valid characters
+    let is_valid = conv_id
+        .chars()
+        .all(|c| c.is_alphanumeric() || c == '_' || c == '-');
+
+    if !is_valid {
+        let mut error = validator::ValidationError::new("invalid_conversation_id");
+        error.message = Some(std::borrow::Cow::Owned(format!(
+            "Invalid 'conversation': '{}'. Expected an ID that contains letters, numbers, underscores, or dashes, but this value contained additional characters.",
+            conv_id
+        )));
+        return Err(error);
+    }
+    Ok(())
+}
+
+/// Validates tool_choice requires tools and references exist
+fn validate_tool_choice_with_tools(
+    request: &ResponsesRequest,
+) -> Result<(), validator::ValidationError> {
+    let Some(tool_choice) = &request.tool_choice else {
+        return Ok(());
+    };
+
+    let has_tools = request.tools.as_ref().is_some_and(|t| !t.is_empty());
+    let is_some_choice = !matches!(tool_choice, ToolChoice::Value(ToolChoiceValue::None));
+
+    // Check if tool_choice requires tools but none are provided
+    if is_some_choice && !has_tools {
+        let mut e = validator::ValidationError::new("tool_choice_requires_tools");
+        e.message = Some("Invalid value for 'tool_choice': 'tool_choice' is only allowed when 'tools' are specified.".into());
+        return Err(e);
+    }
+
+    // Validate tool references exist when tools are present
+    if !has_tools {
+        return Ok(());
+    }
+
+    // Extract function tool names from ResponseTools
+    let tools = request.tools.as_ref().unwrap();
+    let function_tool_names: Vec<&str> = tools
+        .iter()
+        .filter_map(|t| match t.r#type {
+            ResponseToolType::Function => t.function.as_ref().map(|f| f.name.as_str()),
+            _ => None,
+        })
+        .collect();
+
+    // Validate tool references exist
+    match tool_choice {
+        ToolChoice::Function { function, .. } => {
+            if !function_tool_names.contains(&function.name.as_str()) {
+                let mut e = validator::ValidationError::new("tool_choice_function_not_found");
+                e.message = Some(
+                    format!(
+                        "Invalid value for 'tool_choice': function '{}' not found in 'tools'.",
+                        function.name
+                    )
+                    .into(),
+                );
+                return Err(e);
+            }
+        }
+        ToolChoice::AllowedTools {
+            mode,
+            tools: allowed_tools,
+            ..
+        } => {
+            // Validate mode is "auto" or "required"
+            if mode != "auto" && mode != "required" {
+                let mut e = validator::ValidationError::new("tool_choice_invalid_mode");
+                e.message = Some(
+                    format!(
+                        "Invalid value for 'tool_choice.mode': must be 'auto' or 'required', got '{}'.",
+                        mode
+                    )
+                    .into(),
+                );
+                return Err(e);
+            }
+
+            // Validate that all function tool references exist
+            for tool_ref in allowed_tools {
+                if let ToolReference::Function { name } = tool_ref {
+                    if !function_tool_names.contains(&name.as_str()) {
+                        let mut e = validator::ValidationError::new("tool_choice_tool_not_found");
+                        e.message = Some(
+                            format!(
+                                "Invalid value for 'tool_choice.tools': tool '{}' not found in 'tools'.",
+                                name
+                            )
+                            .into(),
+                        );
+                        return Err(e);
+                    }
+                }
+                // Note: MCP and hosted tools don't need existence validation here
+                // as they are resolved dynamically at runtime
+            }
+        }
+        _ => {}
+    }
+
+    Ok(())
+}
+
+/// Schema-level validation for cross-field dependencies
+fn validate_responses_cross_parameters(
+    request: &ResponsesRequest,
+) -> Result<(), validator::ValidationError> {
+    // 1. Validate tool_choice requires tools (enhanced)
+    validate_tool_choice_with_tools(request)?;
+
+    // 2. Validate top_logprobs requires include field
+    if request.top_logprobs.is_some() {
+        let has_logprobs_include = request
+            .include
+            .as_ref()
+            .is_some_and(|inc| inc.contains(&IncludeField::MessageOutputTextLogprobs));
+
+        if !has_logprobs_include {
+            let mut e = validator::ValidationError::new("top_logprobs_requires_include");
+            e.message = Some(
+                "top_logprobs requires include field with 'message.output_text.logprobs'".into(),
+            );
+            return Err(e);
+        }
+    }
+
+    // 3. Validate background/stream conflict
+    if request.background == Some(true) && request.stream == Some(true) {
+        let mut e = validator::ValidationError::new("background_conflicts_with_stream");
+        e.message = Some("Cannot use background mode with streaming".into());
+        return Err(e);
+    }
+
+    // 4. Validate conversation and previous_response_id are mutually exclusive
+    if request.conversation.is_some() && request.previous_response_id.is_some() {
+        let mut e = validator::ValidationError::new("mutually_exclusive_parameters");
+        e.message = Some("Mutually exclusive parameters. Ensure you are only providing one of: 'previous_response_id' or 'conversation'.".into());
+        return Err(e);
+    }
+
+    // 5. Validate input items structure
+    if let ResponseInput::Items(items) = &request.input {
+        // Check for at least one valid input message
+        let has_valid_input = items.iter().any(|item| {
+            matches!(
+                item,
+                ResponseInputOutputItem::Message { .. }
+                    | ResponseInputOutputItem::SimpleInputMessage { .. }
+            )
+        });
+
+        if !has_valid_input {
+            let mut e = validator::ValidationError::new("input_missing_user_message");
+            e.message = Some("Input items must contain at least one message".into());
+            return Err(e);
+        }
+    }
+
+    // 6. Validate text format conflicts (for future structured output constraints)
+    // Currently, Responses API doesn't have regex/ebnf like Chat API,
+    // but this is here for completeness and future-proofing
+
+    Ok(())
+}
+
+// ============================================================================
+// Field-Level Validation Functions
+// ============================================================================
+
+/// Validates response input is not empty and has valid content
+fn validate_response_input(input: &ResponseInput) -> Result<(), validator::ValidationError> {
+    match input {
+        ResponseInput::Text(text) => {
+            if text.is_empty() {
+                let mut e = validator::ValidationError::new("input_text_empty");
+                e.message = Some("Input text cannot be empty".into());
+                return Err(e);
+            }
+        }
+        ResponseInput::Items(items) => {
+            if items.is_empty() {
+                let mut e = validator::ValidationError::new("input_items_empty");
+                e.message = Some("Input items cannot be empty".into());
+                return Err(e);
+            }
+            // Validate each item has valid content
+            for item in items {
+                validate_input_item(item)?;
+            }
+        }
+    }
+    Ok(())
+}
+
+/// Validates individual input items have valid content
+fn validate_input_item(item: &ResponseInputOutputItem) -> Result<(), validator::ValidationError> {
+    match item {
+        ResponseInputOutputItem::Message { content, .. } => {
+            if content.is_empty() {
+                let mut e = validator::ValidationError::new("message_content_empty");
+                e.message = Some("Message content cannot be empty".into());
+                return Err(e);
+            }
+        }
+        ResponseInputOutputItem::SimpleInputMessage { content, .. } => match content {
+            StringOrContentParts::String(s) if s.is_empty() => {
+                let mut e = validator::ValidationError::new("message_content_empty");
+                e.message = Some("Message content cannot be empty".into());
+                return Err(e);
+            }
+            StringOrContentParts::Array(parts) if parts.is_empty() => {
+                let mut e = validator::ValidationError::new("message_content_empty");
+                e.message = Some("Message content parts cannot be empty".into());
+                return Err(e);
+            }
+            _ => {}
+        },
+        ResponseInputOutputItem::Reasoning { .. } => {
+            // Reasoning content can be empty - no validation needed
+        }
+        ResponseInputOutputItem::FunctionCallOutput { output, .. } => {
+            if output.is_empty() {
+                let mut e = validator::ValidationError::new("function_output_empty");
+                e.message = Some("Function call output cannot be empty".into());
+                return Err(e);
+            }
+        }
+        _ => {}
+    }
+    Ok(())
+}
+
+/// Validates ResponseTool structure based on tool type
+fn validate_response_tools(tools: &[ResponseTool]) -> Result<(), validator::ValidationError> {
+    for tool in tools {
+        match tool.r#type {
+            ResponseToolType::Function => {
+                if tool.function.is_none() {
+                    let mut e = validator::ValidationError::new("function_tool_missing_function");
+                    e.message = Some("Function tool must have a function definition".into());
+                    return Err(e);
+                }
+            }
+            ResponseToolType::Mcp => {
+                if tool.server_url.is_none() {
+                    let mut e = validator::ValidationError::new("mcp_tool_missing_server_url");
+                    e.message = Some("MCP tool must have a server_url".into());
+                    return Err(e);
+                }
+            }
+            _ => {}
+        }
+    }
+    Ok(())
+}
+
+/// Validates text format configuration (JSON schema name cannot be empty)
+fn validate_text_format(text: &TextConfig) -> Result<(), validator::ValidationError> {
+    if let Some(TextFormat::JsonSchema { name, .. }) = &text.format {
+        if name.is_empty() {
+            let mut e = validator::ValidationError::new("json_schema_name_empty");
+            e.message = Some("JSON schema name cannot be empty".into());
+            return Err(e);
+        }
+    }
+    Ok(())
+}
+
+/// Normalize a SimpleInputMessage to a proper Message item
+///
+/// This helper converts SimpleInputMessage (which can have flexible content)
+/// into a fully-structured Message item with a generated ID, role, and content array.
+///
+/// SimpleInputMessage items are converted to Message items with IDs generated using
+/// the centralized ID generation pattern with "msg_" prefix for consistency.
+///
+/// # Arguments
+/// * `item` - The input item to normalize
+///
+/// # Returns
+/// A normalized ResponseInputOutputItem (either Message if converted, or original if not SimpleInputMessage)
+pub fn normalize_input_item(item: &ResponseInputOutputItem) -> ResponseInputOutputItem {
+    match item {
+        ResponseInputOutputItem::SimpleInputMessage { content, role, .. } => {
+            let content_vec = match content {
+                StringOrContentParts::String(s) => {
+                    vec![ResponseContentPart::InputText { text: s.clone() }]
+                }
+                StringOrContentParts::Array(parts) => parts.clone(),
+            };
+
+            ResponseInputOutputItem::Message {
+                id: generate_id("msg"),
+                role: role.clone(),
+                content: content_vec,
+                status: Some("completed".to_string()),
+            }
+        }
+        _ => item.clone(),
+    }
+}
+
+pub fn generate_id(prefix: &str) -> String {
+    use rand::RngCore;
+    let mut rng = rand::rng();
+    // Generate exactly 50 hex characters (25 bytes) for the part after the underscore
+    let mut bytes = [0u8; 25];
+    rng.fill_bytes(&mut bytes);
+    let hex_string: String = bytes.iter().map(|b| format!("{:02x}", b)).collect();
+    format!("{}_{}", prefix, hex_string)
+}
+
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct ResponsesResponse {
+    /// Response ID
+    pub id: String,
+
+    /// Object type
+    #[serde(default = "default_object_type")]
+    pub object: String,
+
+    /// Creation timestamp
+    pub created_at: i64,
+
+    /// Response status
+    pub status: ResponseStatus,
+
+    /// Error information if status is failed
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub error: Option<Value>,
+
+    /// Incomplete details if response was truncated
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub incomplete_details: Option<Value>,
+
+    /// System instructions used
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub instructions: Option<String>,
+
+    /// Max output tokens setting
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub max_output_tokens: Option<u32>,
+
+    /// Model name
+    pub model: String,
+
+    /// Output items
+    #[serde(default)]
+    pub output: Vec<ResponseOutputItem>,
+
+    /// Whether parallel tool calls are enabled
+    #[serde(default = "default_true")]
+    pub parallel_tool_calls: bool,
+
+    /// Previous response ID if this is a continuation
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub previous_response_id: Option<String>,
+
+    /// Reasoning information
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning: Option<ReasoningInfo>,
+
+    /// Whether the response is stored
+    #[serde(default = "default_true")]
+    pub store: bool,
+
+    /// Temperature setting used
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+
+    /// Text format settings
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub text: Option<TextConfig>,
+
+    /// Tool choice setting
+    #[serde(default = "default_tool_choice")]
+    pub tool_choice: String,
+
+    /// Available tools
+    #[serde(default)]
+    pub tools: Vec<ResponseTool>,
+
+    /// Top-p setting used
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f32>,
+
+    /// Truncation strategy used
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub truncation: Option<String>,
+
+    /// Usage information
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub usage: Option<ResponsesUsage>,
+
+    /// User identifier
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub user: Option<String>,
+
+    /// Safety identifier for content moderation
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub safety_identifier: Option<String>,
+
+    /// Additional metadata
+    #[serde(default)]
+    pub metadata: HashMap<String, Value>,
+}
+
+fn default_object_type() -> String {
+    "response".to_string()
+}
+
+fn default_tool_choice() -> String {
+    "auto".to_string()
+}
+
+impl ResponsesResponse {
+    /// Create a builder for constructing a ResponsesResponse
+    pub fn builder(id: impl Into<String>, model: impl Into<String>) -> ResponsesResponseBuilder {
+        ResponsesResponseBuilder::new(id, model)
+    }
+
+    /// Check if the response is complete
+    pub fn is_complete(&self) -> bool {
+        matches!(self.status, ResponseStatus::Completed)
+    }
+
+    /// Check if the response is in progress
+    pub fn is_in_progress(&self) -> bool {
+        matches!(self.status, ResponseStatus::InProgress)
+    }
+
+    /// Check if the response failed
+    pub fn is_failed(&self) -> bool {
+        matches!(self.status, ResponseStatus::Failed)
+    }
+}
+
+impl ResponseOutputItem {
+    /// Create a new message output item
+    pub fn new_message(
+        id: String,
+        role: String,
+        content: Vec<ResponseContentPart>,
+        status: String,
+    ) -> Self {
+        Self::Message {
+            id,
+            role,
+            content,
+            status,
+        }
+    }
+
+    /// Create a new reasoning output item
+    pub fn new_reasoning(
+        id: String,
+        summary: Vec<String>,
+        content: Vec<ResponseReasoningContent>,
+        status: Option<String>,
+    ) -> Self {
+        Self::Reasoning {
+            id,
+            summary,
+            content,
+            status,
+        }
+    }
+
+    /// Create a new function tool call output item
+    pub fn new_function_tool_call(
+        id: String,
+        call_id: String,
+        name: String,
+        arguments: String,
+        output: Option<String>,
+        status: String,
+    ) -> Self {
+        Self::FunctionToolCall {
+            id,
+            call_id,
+            name,
+            arguments,
+            output,
+            status,
+        }
+    }
+}
+
+impl ResponseContentPart {
+    /// Create a new text content part
+    pub fn new_text(
+        text: String,
+        annotations: Vec<String>,
+        logprobs: Option<ChatLogProbs>,
+    ) -> Self {
+        Self::OutputText {
+            text,
+            annotations,
+            logprobs,
+        }
+    }
+}
+
+impl ResponseReasoningContent {
+    /// Create a new reasoning text content
+    pub fn new_reasoning_text(text: String) -> Self {
+        Self::ReasoningText { text }
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/sampling_params.rs b/sgl-model-gateway/vendor/openai-protocol/src/sampling_params.rs
new file mode 100644
index 000000000000..9055a53dd30c
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/sampling_params.rs
@@ -0,0 +1,119 @@
+use serde::{Deserialize, Serialize};
+use validator::Validate;
+
+use super::common::StringOrArray;
+
+/// Sampling parameters for text generation
+#[derive(Debug, Clone, Deserialize, Serialize, Default, Validate)]
+#[validate(schema(function = "validate_sampling_params"))]
+pub struct SamplingParams {
+    /// Temperature for sampling (must be >= 0.0, no upper limit)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0))]
+    pub temperature: Option<f32>,
+    /// Maximum number of new tokens to generate (must be >= 0)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0))]
+    pub max_new_tokens: Option<u32>,
+    /// Top-p nucleus sampling (0.0 < top_p <= 1.0)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_top_p_value"))]
+    pub top_p: Option<f32>,
+    /// Top-k sampling (-1 to disable, or >= 1)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_top_k_value"))]
+    pub top_k: Option<i32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub frequency_penalty: Option<f32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = -2.0, max = 2.0))]
+    pub presence_penalty: Option<f32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0, max = 2.0))]
+    pub repetition_penalty: Option<f32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop: Option<StringOrArray>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub ignore_eos: Option<bool>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub skip_special_tokens: Option<bool>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub json_schema: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub regex: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub ebnf: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = 0.0, max = 1.0))]
+    pub min_p: Option<f32>,
+    /// Minimum number of new tokens (validated in schema function for cross-field check with max_new_tokens)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub min_new_tokens: Option<u32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub stop_token_ids: Option<Vec<u32>>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub no_stop_trim: Option<bool>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub n: Option<u32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub sampling_seed: Option<u64>,
+}
+
+// ============================================================================
+// Shared Validation Functions
+// ============================================================================
+
+/// Validates top_p: 0.0 < top_p <= 1.0 (can't use range validator for open interval)
+pub fn validate_top_p_value(top_p: f32) -> Result<(), validator::ValidationError> {
+    if !(top_p > 0.0 && top_p <= 1.0) {
+        return Err(validator::ValidationError::new(
+            "top_p must be in (0, 1] - greater than 0.0 and at most 1.0",
+        ));
+    }
+    Ok(())
+}
+
+/// Validates top_k: -1 (disabled) or >= 1 (special -1 case - can't use range validator)
+pub fn validate_top_k_value(top_k: i32) -> Result<(), validator::ValidationError> {
+    if top_k != -1 && top_k < 1 {
+        return Err(validator::ValidationError::new(
+            "top_k must be -1 (disabled) or at least 1",
+        ));
+    }
+    Ok(())
+}
+
+// ============================================================================
+// SamplingParams-Specific Validation
+// ============================================================================
+
+/// Validation function for SamplingParams - cross-field validation only
+fn validate_sampling_params(params: &SamplingParams) -> Result<(), validator::ValidationError> {
+    // 1. Cross-field validation: min_new_tokens <= max_new_tokens
+    if let (Some(min), Some(max)) = (params.min_new_tokens, params.max_new_tokens) {
+        if min > max {
+            return Err(validator::ValidationError::new(
+                "min_new_tokens cannot exceed max_new_tokens",
+            ));
+        }
+    }
+
+    // 2. Validate mutually exclusive structured output constraints
+    let constraint_count = [
+        params.regex.is_some(),
+        params.ebnf.is_some(),
+        params.json_schema.is_some(),
+    ]
+    .iter()
+    .filter(|&&x| x)
+    .count();
+
+    if constraint_count > 1 {
+        return Err(validator::ValidationError::new(
+            "only one of regex, ebnf, or json_schema can be set",
+        ));
+    }
+
+    Ok(())
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/tokenize.rs b/sgl-model-gateway/vendor/openai-protocol/src/tokenize.rs
new file mode 100644
index 000000000000..62a19c23bd8f
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/tokenize.rs
@@ -0,0 +1,279 @@
+//! Tokenize and Detokenize API protocol types
+//!
+//! These types mirror the SGLang Python implementation for compatibility.
+//! See: python/sglang/srt/entrypoints/openai/protocol.py
+
+use serde::{Deserialize, Serialize};
+
+use super::UNKNOWN_MODEL_ID;
+
+// ============================================================================
+// Tokenize API
+// ============================================================================
+
+/// Request schema for the /v1/tokenize endpoint
+///
+/// Supports both single string and batch tokenization.
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct TokenizeRequest {
+    /// Model name for tokenizer selection
+    #[serde(default = "default_model_name")]
+    pub model: String,
+
+    /// Text(s) to tokenize - can be a single string or array of strings
+    pub prompt: StringOrArray,
+}
+
+/// Response schema for the /v1/tokenize endpoint
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TokenizeResponse {
+    /// Token IDs - single list for single input, nested list for batch
+    pub tokens: TokensResult,
+
+    /// Token count(s) - single int for single input, list for batch
+    pub count: CountResult,
+
+    /// Character count(s) of input - single int for single input, list for batch
+    pub char_count: CountResult,
+}
+
+/// Token IDs result - either single or batch
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum TokensResult {
+    Single(Vec<u32>),
+    Batch(Vec<Vec<u32>>),
+}
+
+/// Count result - either single or batch
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum CountResult {
+    Single(i32),
+    Batch(Vec<i32>),
+}
+
+// ============================================================================
+// Detokenize API
+// ============================================================================
+
+/// Request schema for the /v1/detokenize endpoint
+///
+/// Supports both single sequence and batch detokenization.
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct DetokenizeRequest {
+    /// Model name for tokenizer selection
+    #[serde(default = "default_model_name")]
+    pub model: String,
+
+    /// Token IDs to detokenize - single list or batch (list of lists)
+    pub tokens: TokensInput,
+
+    /// Whether to skip special tokens (e.g., padding or EOS) during decoding
+    #[serde(default = "default_true")]
+    pub skip_special_tokens: bool,
+}
+
+/// Token input - either single sequence or batch
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum TokensInput {
+    /// Single sequence of token IDs
+    Single(Vec<u32>),
+    /// Batch of token sequences
+    Batch(Vec<Vec<u32>>),
+}
+
+impl TokensInput {
+    /// Check if this is a batch input
+    pub fn is_batch(&self) -> bool {
+        matches!(self, TokensInput::Batch(_))
+    }
+
+    /// Get the sequences (always returns a vec of vecs for uniform processing)
+    pub fn sequences(&self) -> Vec<&[u32]> {
+        match self {
+            TokensInput::Single(seq) => vec![seq.as_slice()],
+            TokensInput::Batch(seqs) => seqs.iter().map(|s| s.as_slice()).collect(),
+        }
+    }
+}
+
+/// Response schema for the /v1/detokenize endpoint
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct DetokenizeResponse {
+    /// Decoded text - single string for single input, list for batch
+    pub text: TextResult,
+}
+
+/// Text result - either single or batch
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum TextResult {
+    Single(String),
+    Batch(Vec<String>),
+}
+
+// ============================================================================
+// Tokenizer Management API
+// ============================================================================
+
+/// Request schema for adding a tokenizer
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct AddTokenizerRequest {
+    /// Name to register the tokenizer under
+    pub name: String,
+
+    /// Source: either a local path or HuggingFace model ID
+    pub source: String,
+
+    /// Optional path to chat template file
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub chat_template_path: Option<String>,
+}
+
+/// Response schema for adding a tokenizer (async)
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct AddTokenizerResponse {
+    /// Unique identifier for the tokenizer (UUID)
+    pub id: String,
+    /// Status of the request: "pending", "processing", "completed", "failed"
+    pub status: String,
+    pub message: String,
+    /// Vocabulary size of the loaded tokenizer (only set on completion)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub vocab_size: Option<usize>,
+}
+
+/// Response schema for listing tokenizers
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct ListTokenizersResponse {
+    pub tokenizers: Vec<TokenizerInfo>,
+}
+
+/// Information about a registered tokenizer
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct TokenizerInfo {
+    /// Unique identifier (UUID)
+    pub id: String,
+    /// User-provided name
+    pub name: String,
+    /// Source path or HuggingFace model ID
+    pub source: String,
+    pub vocab_size: usize,
+}
+
+/// Request schema for removing a tokenizer
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct RemoveTokenizerRequest {
+    /// Name of the tokenizer to remove
+    pub name: String,
+}
+
+/// Response schema for removing a tokenizer
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct RemoveTokenizerResponse {
+    pub success: bool,
+    pub message: String,
+}
+
+// ============================================================================
+// Helper Types
+// ============================================================================
+
+/// String or array of strings (for flexible input)
+#[derive(Debug, Clone, Deserialize, Serialize)]
+#[serde(untagged)]
+pub enum StringOrArray {
+    Single(String),
+    Array(Vec<String>),
+}
+
+impl StringOrArray {
+    /// Check if this is a batch (array) input
+    pub fn is_batch(&self) -> bool {
+        matches!(self, StringOrArray::Array(_))
+    }
+
+    /// Get all strings as a slice (converts single to vec)
+    pub fn as_strings(&self) -> Vec<&str> {
+        match self {
+            StringOrArray::Single(s) => vec![s.as_str()],
+            StringOrArray::Array(arr) => arr.iter().map(|s| s.as_str()).collect(),
+        }
+    }
+}
+
+// ============================================================================
+// Default Functions
+// ============================================================================
+
+fn default_model_name() -> String {
+    UNKNOWN_MODEL_ID.to_string()
+}
+
+fn default_true() -> bool {
+    true
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_tokenize_request_single() {
+        let json = r#"{"prompt": "Hello world"}"#;
+        let req: TokenizeRequest = serde_json::from_str(json).unwrap();
+        assert_eq!(req.model, "unknown");
+        assert!(matches!(req.prompt, StringOrArray::Single(_)));
+    }
+
+    #[test]
+    fn test_tokenize_request_batch() {
+        let json = r#"{"model": "llama", "prompt": ["Hello", "World"]}"#;
+        let req: TokenizeRequest = serde_json::from_str(json).unwrap();
+        assert_eq!(req.model, "llama");
+        assert!(matches!(req.prompt, StringOrArray::Array(_)));
+    }
+
+    #[test]
+    fn test_detokenize_request_single() {
+        let json = r#"{"tokens": [1, 2, 3]}"#;
+        let req: DetokenizeRequest = serde_json::from_str(json).unwrap();
+        assert!(matches!(req.tokens, TokensInput::Single(_)));
+        assert!(req.skip_special_tokens);
+    }
+
+    #[test]
+    fn test_detokenize_request_batch() {
+        let json = r#"{"tokens": [[1, 2], [3, 4, 5]], "skip_special_tokens": false}"#;
+        let req: DetokenizeRequest = serde_json::from_str(json).unwrap();
+        assert!(matches!(req.tokens, TokensInput::Batch(_)));
+        assert!(!req.skip_special_tokens);
+    }
+
+    #[test]
+    fn test_tokenize_response_single() {
+        let resp = TokenizeResponse {
+            tokens: TokensResult::Single(vec![1, 2, 3]),
+            count: CountResult::Single(3),
+            char_count: CountResult::Single(11),
+        };
+        let json = serde_json::to_string(&resp).unwrap();
+        assert!(json.contains("[1,2,3]"));
+        assert!(json.contains("\"count\":3"));
+        assert!(json.contains("\"char_count\":11"));
+    }
+
+    #[test]
+    fn test_tokenize_response_batch() {
+        let resp = TokenizeResponse {
+            tokens: TokensResult::Batch(vec![vec![1, 2], vec![3, 4, 5]]),
+            count: CountResult::Batch(vec![2, 3]),
+            char_count: CountResult::Batch(vec![5, 5]),
+        };
+        let json = serde_json::to_string(&resp).unwrap();
+        assert!(json.contains("[[1,2],[3,4,5]]"));
+        assert!(json.contains("[2,3]"));
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/validated.rs b/sgl-model-gateway/vendor/openai-protocol/src/validated.rs
new file mode 100644
index 000000000000..15c759f55ecc
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/validated.rs
@@ -0,0 +1,172 @@
+// Validated JSON extractor for automatic request validation
+//
+// This module provides a ValidatedJson extractor that automatically validates
+// requests using the validator crate's Validate trait.
+
+/// Trait for request types that need post-deserialization normalization
+pub trait Normalizable {
+    /// Normalize the request by applying defaults and transformations
+    fn normalize(&mut self) {
+        // Default: no-op
+    }
+}
+
+#[cfg(feature = "axum")]
+use axum::{
+    extract::{rejection::JsonRejection, FromRequest, Request},
+    http::StatusCode,
+    response::{IntoResponse, Response},
+    Json,
+};
+#[cfg(feature = "axum")]
+use serde::de::DeserializeOwned;
+#[cfg(feature = "axum")]
+use serde_json::json;
+#[cfg(feature = "axum")]
+use validator::Validate;
+
+/// A JSON extractor that automatically validates and normalizes the request body
+///
+/// This extractor deserializes the request body and automatically calls `.validate()`
+/// on types that implement the `Validate` trait. If validation fails, it returns
+/// a 400 Bad Request with detailed error information.
+///
+/// # Example
+///
+/// ```rust,ignore
+/// async fn create_chat(
+///     ValidatedJson(request): ValidatedJson<ChatCompletionRequest>,
+/// ) -> Response {
+///     // request is guaranteed to be valid here
+///     process_request(request).await
+/// }
+/// ```
+#[cfg(feature = "axum")]
+pub struct ValidatedJson<T>(pub T);
+
+#[cfg(feature = "axum")]
+impl<S, T> FromRequest<S> for ValidatedJson<T>
+where
+    T: DeserializeOwned + Validate + Normalizable + Send,
+    S: Send + Sync,
+{
+    type Rejection = Response;
+
+    async fn from_request(req: Request, state: &S) -> Result<Self, Self::Rejection> {
+        // First, extract and deserialize the JSON
+        let Json(mut data) =
+            Json::<T>::from_request(req, state)
+                .await
+                .map_err(|err: JsonRejection| {
+                    let error_message = match err {
+                        JsonRejection::JsonDataError(e) => {
+                            format!("Invalid JSON data: {}", e)
+                        }
+                        JsonRejection::JsonSyntaxError(e) => {
+                            format!("JSON syntax error: {}", e)
+                        }
+                        JsonRejection::MissingJsonContentType(_) => {
+                            "Missing Content-Type: application/json header".to_string()
+                        }
+                        _ => format!("Failed to parse JSON: {}", err),
+                    };
+
+                    (
+                        StatusCode::BAD_REQUEST,
+                        Json(json!({
+                            "error": {
+                                "message": error_message,
+                                "type": "invalid_request_error",
+                                "code": "json_parse_error"
+                            }
+                        })),
+                    )
+                        .into_response()
+                })?;
+
+        // Normalize the request (apply defaults based on other fields)
+        data.normalize();
+
+        // Then, automatically validate the data
+        data.validate().map_err(|validation_errors| {
+            (
+                StatusCode::BAD_REQUEST,
+                Json(json!({
+                    "error": {
+                        "message": validation_errors.to_string(),
+                        "type": "invalid_request_error",
+                        "code": 400
+                    }
+                })),
+            )
+                .into_response()
+        })?;
+
+        Ok(ValidatedJson(data))
+    }
+}
+
+// Implement Deref to allow transparent access to the inner value
+#[cfg(feature = "axum")]
+impl<T> std::ops::Deref for ValidatedJson<T> {
+    type Target = T;
+
+    fn deref(&self) -> &Self::Target {
+        &self.0
+    }
+}
+
+#[cfg(feature = "axum")]
+impl<T> std::ops::DerefMut for ValidatedJson<T> {
+    fn deref_mut(&mut self) -> &mut Self::Target {
+        &mut self.0
+    }
+}
+
+#[cfg(all(test, feature = "axum"))]
+mod tests {
+    use serde::{Deserialize, Serialize};
+    use validator::Validate;
+
+    use super::*;
+
+    #[derive(Debug, Deserialize, Serialize, Validate)]
+    struct TestRequest {
+        #[validate(range(min = 0.0, max = 1.0))]
+        value: f32,
+        #[validate(length(min = 1))]
+        name: String,
+    }
+
+    impl Normalizable for TestRequest {
+        // Use default no-op implementation
+    }
+
+    #[tokio::test]
+    async fn test_validated_json_valid() {
+        // This test is conceptual - actual testing would require Axum test harness
+        let request = TestRequest {
+            value: 0.5,
+            name: "test".to_string(),
+        };
+        assert!(request.validate().is_ok());
+    }
+
+    #[tokio::test]
+    async fn test_validated_json_invalid_range() {
+        let request = TestRequest {
+            value: 1.5, // Out of range
+            name: "test".to_string(),
+        };
+        assert!(request.validate().is_err());
+    }
+
+    #[tokio::test]
+    async fn test_validated_json_invalid_length() {
+        let request = TestRequest {
+            value: 0.5,
+            name: "".to_string(), // Empty name
+        };
+        assert!(request.validate().is_err());
+    }
+}
diff --git a/sgl-model-gateway/vendor/openai-protocol/src/worker_spec.rs b/sgl-model-gateway/vendor/openai-protocol/src/worker_spec.rs
new file mode 100644
index 000000000000..230a0f1ffcc1
--- /dev/null
+++ b/sgl-model-gateway/vendor/openai-protocol/src/worker_spec.rs
@@ -0,0 +1,469 @@
+//! Worker management API specifications
+//!
+//! Defines the request/response structures for worker management endpoints
+
+use std::collections::HashMap;
+
+#[cfg(feature = "axum")]
+use axum::{
+    http::StatusCode,
+    response::{IntoResponse, Response},
+    Json,
+};
+use serde::{Deserialize, Serialize};
+#[cfg(feature = "axum")]
+use serde_json::{json, Value};
+
+use super::UNKNOWN_MODEL_ID;
+
+/// Worker configuration for API requests
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct WorkerConfigRequest {
+    /// Worker URL (required)
+    pub url: String,
+
+    /// Worker API key (optional)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub api_key: Option<String>,
+
+    /// Model ID (optional, will query from server if not provided)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub model_id: Option<String>,
+
+    /// Worker priority (optional, default: 50, higher = preferred)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub priority: Option<u32>,
+
+    /// Worker cost factor (optional, default: 1.0)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cost: Option<f32>,
+
+    /// Worker type (optional: "regular", "prefill", "decode")
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub worker_type: Option<String>,
+
+    /// Bootstrap port for prefill workers (optional)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_port: Option<u16>,
+
+    /// Runtime type (optional: "sglang", "vllm", default: "sglang")
+    /// Only relevant for gRPC workers
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub runtime: Option<String>,
+
+    // gRPC-specific configuration (optional, ignored in HTTP mode)
+    /// Tokenizer path for gRPC mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tokenizer_path: Option<String>,
+
+    /// Reasoning parser type for gRPC mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning_parser: Option<String>,
+
+    /// Tool parser type for gRPC mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_parser: Option<String>,
+
+    /// Chat template for gRPC mode
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub chat_template: Option<String>,
+
+    /// Additional labels (optional)
+    #[serde(default, skip_serializing_if = "HashMap::is_empty")]
+    pub labels: HashMap<String, String>,
+
+    /// Health check timeout in seconds (default: 30)
+    #[serde(default = "default_health_check_timeout")]
+    pub health_check_timeout_secs: u64,
+
+    /// Health check interval in seconds (default: 60)
+    #[serde(default = "default_health_check_interval")]
+    pub health_check_interval_secs: u64,
+
+    /// Number of successful health checks needed to mark worker as healthy (default: 2)
+    #[serde(default = "default_health_success_threshold")]
+    pub health_success_threshold: u32,
+
+    /// Number of failed health checks before marking worker as unhealthy (default: 3)
+    #[serde(default = "default_health_failure_threshold")]
+    pub health_failure_threshold: u32,
+
+    /// Disable periodic health checks for this worker (default: false)
+    #[serde(default)]
+    pub disable_health_check: bool,
+
+    /// Maximum connection attempts during worker registration (default: 20)
+    #[serde(default = "default_max_connection_attempts")]
+    pub max_connection_attempts: u32,
+
+    /// Enable data parallelism aware scheduling (default: false)
+    #[serde(default)]
+    pub dp_aware: bool,
+}
+
+// Default value functions for serde
+fn default_health_check_timeout() -> u64 {
+    30
+}
+
+fn default_health_check_interval() -> u64 {
+    60
+}
+
+fn default_health_success_threshold() -> u32 {
+    2
+}
+
+fn default_health_failure_threshold() -> u32 {
+    3
+}
+
+fn default_max_connection_attempts() -> u32 {
+    20
+}
+
+/// Worker information for API responses
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerInfo {
+    /// Worker unique identifier
+    pub id: String,
+
+    /// Worker URL
+    pub url: String,
+
+    /// Model ID this worker serves
+    pub model_id: String,
+
+    /// Worker priority
+    pub priority: u32,
+
+    /// Worker cost factor
+    pub cost: f32,
+
+    /// Worker type
+    pub worker_type: String,
+
+    /// Whether the worker is healthy
+    pub is_healthy: bool,
+
+    /// Current load on the worker
+    pub load: usize,
+
+    /// Connection mode (http or grpc)
+    pub connection_mode: String,
+
+    /// Runtime type (sglang or vllm, for gRPC workers)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub runtime_type: Option<String>,
+
+    // gRPC-specific fields (None for HTTP workers)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tokenizer_path: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning_parser: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_parser: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub chat_template: Option<String>,
+
+    /// Bootstrap port for prefill workers
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub bootstrap_port: Option<u16>,
+
+    /// Additional metadata
+    #[serde(skip_serializing_if = "HashMap::is_empty")]
+    pub metadata: HashMap<String, String>,
+
+    /// Whether health checks are disabled for this worker
+    pub disable_health_check: bool,
+
+    /// Job status for async operations (if available)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub job_status: Option<JobStatus>,
+}
+
+impl WorkerInfo {
+    /// Create a partial WorkerInfo for pending workers (not yet registered).
+    /// Used when a worker ID maps to a URL but the worker is still being registered.
+    pub fn pending(worker_id: &str, url: String, job_status: Option<JobStatus>) -> Self {
+        Self {
+            id: worker_id.to_string(),
+            url,
+            model_id: UNKNOWN_MODEL_ID.to_string(),
+            priority: 0,
+            cost: 1.0,
+            worker_type: UNKNOWN_MODEL_ID.to_string(),
+            is_healthy: false,
+            load: 0,
+            connection_mode: UNKNOWN_MODEL_ID.to_string(),
+            runtime_type: None,
+            tokenizer_path: None,
+            reasoning_parser: None,
+            tool_parser: None,
+            chat_template: None,
+            bootstrap_port: None,
+            metadata: HashMap::new(),
+            disable_health_check: false,
+            job_status,
+        }
+    }
+}
+
+/// Job status for async control plane operations
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct JobStatus {
+    pub job_type: String,
+    pub worker_url: String,
+    pub status: String,
+    pub message: Option<String>,
+    pub timestamp: u64,
+}
+
+impl JobStatus {
+    /// Create a pending job status
+    pub fn pending(job_type: &str, worker_url: &str) -> Self {
+        Self {
+            job_type: job_type.to_string(),
+            worker_url: worker_url.to_string(),
+            status: "pending".to_string(),
+            message: None,
+            timestamp: std::time::SystemTime::now()
+                .duration_since(std::time::SystemTime::UNIX_EPOCH)
+                .unwrap()
+                .as_secs(),
+        }
+    }
+
+    /// Create a processing job status
+    pub fn processing(job_type: &str, worker_url: &str) -> Self {
+        Self {
+            job_type: job_type.to_string(),
+            worker_url: worker_url.to_string(),
+            status: "processing".to_string(),
+            message: None,
+            timestamp: std::time::SystemTime::now()
+                .duration_since(std::time::SystemTime::UNIX_EPOCH)
+                .unwrap()
+                .as_secs(),
+        }
+    }
+
+    /// Create a failed job status
+    pub fn failed(job_type: &str, worker_url: &str, error: String) -> Self {
+        Self {
+            job_type: job_type.to_string(),
+            worker_url: worker_url.to_string(),
+            status: "failed".to_string(),
+            message: Some(error),
+            timestamp: std::time::SystemTime::now()
+                .duration_since(std::time::SystemTime::UNIX_EPOCH)
+                .unwrap()
+                .as_secs(),
+        }
+    }
+}
+
+/// Worker list response
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerListResponse {
+    /// List of workers
+    pub workers: Vec<WorkerInfo>,
+
+    /// Total count
+    pub total: usize,
+
+    /// Statistics
+    pub stats: WorkerStats,
+}
+
+/// Worker statistics
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerStats {
+    pub total_workers: usize,
+    pub healthy_workers: usize,
+    pub total_models: usize,
+    pub total_load: usize,
+    pub by_type: WorkerTypeStats,
+}
+
+/// Worker statistics by type
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerTypeStats {
+    pub regular: usize,
+    pub prefill: usize,
+    pub decode: usize,
+}
+
+/// Worker update request
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub struct WorkerUpdateRequest {
+    /// Update priority
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub priority: Option<u32>,
+
+    /// Update cost
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cost: Option<f32>,
+
+    /// Update labels
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub labels: Option<HashMap<String, String>>,
+
+    /// Update API key (for key rotation)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub api_key: Option<String>,
+
+    /// Update health check timeout in seconds
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub health_check_timeout_secs: Option<u64>,
+
+    /// Update health check interval in seconds
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub health_check_interval_secs: Option<u64>,
+
+    /// Update health success threshold
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub health_success_threshold: Option<u32>,
+
+    /// Update health failure threshold
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub health_failure_threshold: Option<u32>,
+
+    /// Disable periodic health checks for this worker
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub disable_health_check: Option<bool>,
+}
+
+/// Generic API response
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerApiResponse {
+    pub success: bool,
+    pub message: String,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub worker: Option<WorkerInfo>,
+}
+
+/// Error response
+#[derive(Debug, Clone, Serialize)]
+pub struct WorkerErrorResponse {
+    pub error: String,
+    pub code: String,
+}
+
+/// Server info response from /get_server_info endpoint
+#[derive(Debug, Clone, Deserialize)]
+pub struct ServerInfo {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub model_id: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub model_path: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub priority: Option<u32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub cost: Option<f32>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub worker_type: Option<String>,
+
+    // gRPC-specific
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tokenizer_path: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning_parser: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_parser: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub chat_template: Option<String>,
+}
+
+/// Result from flush cache operations across workers
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct FlushCacheResult {
+    /// URLs of workers where cache flush succeeded
+    pub successful: Vec<String>,
+    /// URLs and error messages for workers where cache flush failed
+    pub failed: Vec<(String, String)>,
+    /// Total number of workers attempted
+    pub total_workers: usize,
+    /// Number of HTTP workers (gRPC workers don't support flush cache)
+    pub http_workers: usize,
+    /// Human-readable summary message
+    pub message: String,
+}
+
+/// Result from getting worker loads
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct WorkerLoadsResult {
+    /// Worker URL and load pairs
+    pub loads: Vec<WorkerLoadInfo>,
+    /// Total number of workers
+    pub total_workers: usize,
+    /// Number of workers with successful load fetches
+    pub successful: usize,
+    /// Number of workers with failed load fetches
+    pub failed: usize,
+}
+
+/// Individual worker load information
+#[derive(Debug, Clone, Deserialize, Serialize)]
+pub struct WorkerLoadInfo {
+    /// Worker URL
+    pub worker: String,
+    /// Worker type (regular, prefill, decode)
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub worker_type: Option<String>,
+    /// Current load (-1 indicates failure to fetch)
+    pub load: isize,
+}
+
+#[cfg(feature = "axum")]
+impl IntoResponse for FlushCacheResult {
+    fn into_response(self) -> Response {
+        let status = if self.failed.is_empty() {
+            StatusCode::OK
+        } else {
+            StatusCode::PARTIAL_CONTENT
+        };
+
+        let mut body = json!({
+            "status": if self.failed.is_empty() { "success" } else { "partial_success" },
+            "message": self.message,
+            "workers_flushed": self.successful.len(),
+            "total_http_workers": self.http_workers,
+            "total_workers": self.total_workers
+        });
+
+        if !self.failed.is_empty() {
+            body["successful"] = json!(self.successful);
+            body["failed"] = json!(self
+                .failed
+                .into_iter()
+                .map(|(url, err)| json!({"worker": url, "error": err}))
+                .collect::<Vec<_>>());
+        }
+
+        (status, Json(body)).into_response()
+    }
+}
+
+#[cfg(feature = "axum")]
+impl IntoResponse for WorkerLoadsResult {
+    fn into_response(self) -> Response {
+        let loads: Vec<Value> = self
+            .loads
+            .iter()
+            .map(|info| json!({"worker": &info.worker, "load": info.load}))
+            .collect();
+        Json(json!({"workers": loads})).into_response()
+    }
+}