fix: deserialize tool call args

lib/llm/src/preprocessor/prompt/template/oai.rs

@@ -4,6 +4,7 @@
 use super::*;
 
 use minijinja::{context, value::Value};
+use std::result::Result::Ok;
 
 use crate::protocols::openai::{
     chat_completions::NvCreateChatCompletionRequest, completions::NvCreateCompletionRequest,
@@ -121,6 +122,36 @@ fn may_be_fix_msg_content(messages: serde_json::Value) -> Value {
     Value::from_serialize(&updated_messages)
 }
 
+fn normalize_tool_arguments_in_messages(messages: &mut serde_json::Value) {
+    // Deserialize tool call arguments from JSON strings to objects/arrays before template rendering
+    // avoids double encoding and enables iteration
+    let Some(msgs) = messages.as_array_mut() else {
+        return;
+    };
+
+    for msg in msgs.iter_mut() {
+        if let Some(tool_calls) = msg.get_mut("tool_calls").and_then(|v| v.as_array_mut()) {
+            for tc in tool_calls {
+                if let Some(function) = tc.get_mut("function").and_then(|v| v.as_object_mut())
+                    && let Some(args) = function.get_mut("arguments")
+                    && let Some(s) = args.as_str()
+                    && let Ok(parsed) = serde_json::from_str(s)
+                {
+                    *args = parsed;
+                }
+            }
+        }
+
+        if let Some(function_call) = msg.get_mut("function_call").and_then(|v| v.as_object_mut())
+            && let Some(args) = function_call.get_mut("arguments")
+            && let Some(s) = args.as_str()
+            && let Ok(parsed) = serde_json::from_str(s)
+        {
+            *args = parsed;
+        }
+    }
+}
+
 impl OAIChatLikeRequest for NvCreateChatCompletionRequest {
     fn model(&self) -> String {
         self.inner.model.clone()
@@ -267,8 +298,13 @@ impl OAIPromptFormatter for HfTokenizerConfigJsonFormatter {
             add_generation_prompt
         );
 
+        let messages_canonical = req.messages();
+        let mut messages_for_template: serde_json::Value =
+            serde_json::to_value(&messages_canonical).unwrap();
+        normalize_tool_arguments_in_messages(&mut messages_for_template);
+
         let ctx = context! {
-            messages => req.messages(),
+            messages => messages_for_template,
             tools => tools,
             bos_token => self.config.bos_tok(),
             eos_token => self.config.eos_tok(),
@@ -298,6 +334,7 @@ impl OAIPromptFormatter for HfTokenizerConfigJsonFormatter {
 mod tests {
     use super::*;
     use dynamo_async_openai::types::ChatCompletionRequestMessage as Msg;
+    use minijinja::{Environment, context};
 
     #[test]
     fn test_may_be_fix_tool_schema_missing_type_and_properties() {
@@ -705,6 +742,153 @@ NORMAL MODE
         assert_eq!(messages[0]["content"].as_array().unwrap().len(), 3);
     }
 
+    #[test]
+    fn test_normalize_tool_arguments_tojson() {
+        let tmpl = r#"{{ messages[0].tool_calls[0].function.arguments | tojson }}"#;
+
+        // Message with tool_calls containing JSON string arguments
+        let mut messages = serde_json::Value::Array(vec![serde_json::json!({
+            "role": "assistant",
+            "tool_calls": [{
+                "type": "function",
+                "function": {
+                    "name": "get_current_weather",
+                    "arguments": "{\"format\":\"celsius\",\"location\":\"San Francisco, CA\"}"
+                }
+            }]
+        })]);
+
+        normalize_tool_arguments_in_messages(&mut messages);
+
+        let mut env = Environment::new();
+        env.add_filter("tojson", super::super::tokcfg::tojson);
+        env.add_template("t", tmpl).unwrap();
+        let out = env
+            .get_template("t")
+            .unwrap()
+            .render(context! { messages => messages.as_array().unwrap() })
+            .unwrap();
+
+        // Should produce clean JSON without double-encoding
+        assert_eq!(
+            out,
+            r#"{"format":"celsius","location":"San Francisco, CA"}"#
+        );
+    }
+
+    #[test]
+    fn test_normalize_tool_arguments_items_loop() {
+        let tmpl = r#"{% for k, v in messages[0].tool_calls[0].function.arguments|items %}{{k}}={{v}};{% endfor %}"#;
+
+        let mut messages = serde_json::Value::Array(vec![serde_json::json!({
+            "role": "assistant",
+            "tool_calls": [{
+                "type": "function",
+                "function": {
+                    "name": "f",
+                    "arguments": "{\"a\":1,\"b\":\"x\"}"
+                }
+            }]
+        })]);
+
+        normalize_tool_arguments_in_messages(&mut messages);
+
+        let mut env = Environment::new();
+        env.add_template("t", tmpl).unwrap();
+        let out = env
+            .get_template("t")
+            .unwrap()
+            .render(context! { messages => messages.as_array().unwrap() })
+            .unwrap();
+
+        assert!(out == "a=1;b=x;" || out == "b=x;a=1;");
+    }
+
+    #[test]
+    fn test_normalize_tool_arguments_legacy_function_call() {
+        // Test deprecated function_call format (OpenAI compat)
+        let mut messages = serde_json::Value::Array(vec![serde_json::json!({
+            "role": "assistant",
+            "function_call": {
+                "name": "get_weather",
+                "arguments": "{\"location\":\"NYC\"}"
+            }
+        })]);
+
+        normalize_tool_arguments_in_messages(&mut messages);
+
+        assert_eq!(
+            messages[0]["function_call"]["arguments"],
+            serde_json::json!({"location": "NYC"})
+        );
+    }
+
+    #[test]
+    fn test_normalize_tool_arguments_malformed_json_passthrough() {
+        // Malformed JSON should be left as a string
+        let mut messages = serde_json::Value::Array(vec![serde_json::json!({
+            "role": "assistant",
+            "tool_calls": [{
+                "type": "function",
+                "function": {
+                    "name": "f",
+                    "arguments": "not valid json at all"
+                }
+            }]
+        })]);
+
+        normalize_tool_arguments_in_messages(&mut messages);
+
+        assert_eq!(
+            messages[0]["tool_calls"][0]["function"]["arguments"],
+            serde_json::Value::String("not valid json at all".to_string())
+        );
+    }
+
+    #[test]
+    fn test_normalize_tool_arguments_with_multimodal_content() {
+        let json_str = r#"{
+            "model": "gpt-4o",
+            "messages": [
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": "Check this:"},
+                        {"type": "video_url", "video_url": {"url": "https://example.com/vid.mp4"}},
+                        {"type": "text", "text": "Interesting?"}
+                    ]
+                },
+                {
+                    "role": "assistant",
+                    "tool_calls": [{
+                        "id": "call_123",
+                        "type": "function",
+                        "function": {
+                            "name": "analyze_video",
+                            "arguments": "{\"url\":\"https://example.com/vid.mp4\",\"format\":\"mp4\"}"
+                        }
+                    }]
+                }
+            ]
+        }"#;
+
+        let request: NvCreateChatCompletionRequest = serde_json::from_str(json_str).unwrap();
+        let mut messages = serde_json::to_value(request.messages()).unwrap();
+
+        normalize_tool_arguments_in_messages(&mut messages);
+
+        // Multimodal content preserved as array
+        assert!(messages[0]["content"].is_array());
+        assert_eq!(messages[0]["content"].as_array().unwrap().len(), 3);
+
+        // Tool arguments deserialized to object
+        assert!(messages[1]["tool_calls"][0]["function"]["arguments"].is_object());
+        assert_eq!(
+            messages[1]["tool_calls"][0]["function"]["arguments"]["url"],
+            "https://example.com/vid.mp4"
+        );
+    }
+
     fn user() -> Msg {
         Msg::User(Default::default())
     }