diff --git a/expose.cpp b/expose.cpp
index efa1c8bb3..ba660e061 100644
--- a/expose.cpp
+++ b/expose.cpp
@@ -275,6 +275,16 @@ extern "C"
         return (int)last_stop_reason;
     }
 
+    const char* get_chat_template() {
+        // we need to keep this around
+        static std::string* ct = nullptr;
+        if (ct == nullptr) {
+            ct = new std::string();
+        }
+        *ct = gpttype_get_chat_template();
+        return ct->c_str();
+    }
+
     const char* get_pending_output() {
        return gpttype_get_pending_output().c_str();
     }
diff --git a/gpttype_adapter.cpp b/gpttype_adapter.cpp
index c014049b8..283fca721 100644
--- a/gpttype_adapter.cpp
+++ b/gpttype_adapter.cpp
@@ -2491,6 +2491,21 @@ bool gpttype_generate_abort()
     return true;
 }
 
+std::string gpttype_get_chat_template()
+{
+    // copied from examples/server/utils.hpp::llama_get_chat_template
+    std::string template_key = "tokenizer.chat_template";
+    // call with NULL buffer to get the total size of the string
+    int32_t res = llama_model_meta_val_str(&llama_ctx_v4->model, template_key.c_str(), NULL, 0);
+    if (res < 0) {
+        return "";
+    }
+
+    std::vector<char> model_template(res + 1, 0);
+    llama_model_meta_val_str(&llama_ctx_v4->model, template_key.c_str(), model_template.data(), model_template.size());
+    return std::string(model_template.data(), model_template.size() - 1);
+}
+
 std::vector<int> gpttype_get_token_arr(const std::string & input, bool addbos)
 {
     std::vector<int> toks;
diff --git a/koboldcpp.py b/koboldcpp.py
index f9384de13..6530d68c8 100644
--- a/koboldcpp.py
+++ b/koboldcpp.py
@@ -459,6 +459,7 @@ def init_library():
     handle.abort_generate.restype = ctypes.c_bool
     handle.token_count.restype = token_count_outputs
     handle.get_pending_output.restype = ctypes.c_char_p
+    handle.get_chat_template.restype = ctypes.c_char_p
     handle.sd_load_model.argtypes = [sd_load_model_inputs]
     handle.sd_load_model.restype = ctypes.c_bool
     handle.sd_generate.argtypes = [sd_generation_inputs]
@@ -1956,6 +1957,13 @@ Enter Prompt:<br>
             self.send_header("location", self.path)
             self.end_headers(content_type='text/html')
             return None
+        elif self.path.endswith('/props'):
+            ctbytes = handle.get_chat_template()
+            chat_template = ctypes.string_at(ctbytes).decode("UTF-8")
+            # TODO: decide whether to add or skip below settings from llama.cpp /props endpoint.
+            # { "default_generation_settings", ctx_server.default_generation_settings_for_props },
+            # { "total_slots",                 ctx_server.params.n_parallel },
+            response_body = (json.dumps({"chat_template":chat_template}).encode())
 
         if response_body is None:
             self.send_response(404)
diff --git a/model_adapter.h b/model_adapter.h
index 769829a26..5c448320f 100644
--- a/model_adapter.h
+++ b/model_adapter.h
@@ -91,6 +91,8 @@ enum ModelLoadResult
 ModelLoadResult gpttype_load_model(const load_model_inputs inputs, FileFormat in_file_format, FileFormatExtraMeta file_format_meta);
 generation_outputs gpttype_generate(const generation_inputs inputs);
 bool gpttype_generate_abort();
+std::string gpttype_get_chat_template();
+
 const std::string & gpttype_get_pending_output();
 std::vector<int> gpttype_get_token_arr(const std::string & input, bool addbos);
 const std::vector<TopPicksData> gpttype_get_top_picks_data();