fix build

examples/server/functionary-test.cpp

@@ -111,4 +111,4 @@ int main() {
     std::cout << "\n" << llama_functionary::convert_response_to_oai_choices(test_response) << "\n";
 
     return 0;
-}
+}

examples/server/functionary.hpp

@@ -22,6 +22,7 @@ using json = nlohmann::json;
 #define FUNCTIONARY_RECIP_ALL "all"
 #define FUNCTIONARY_RECIP_NONE "no-tool-call"
 
+namespace llama_functionary {
 
 template <typename T>
 static T json_value(const json &body, const std::string &key, const T &default_value)
@@ -55,9 +56,6 @@ inline std::vector<std::string> str_split(std::string str, const std::string & d
     return output;
 }
 
-
-namespace llama_functionary {
-
 typedef struct message {
     std::string from; // can be "system", "user", "assistant" or name of function
     std::string recipient = FUNCTIONARY_RECIP_ALL;
@@ -273,7 +271,7 @@ inline json convert_response_to_oai_choices(const std::string & content) {
     }
     // build final response
     json choices = json::array();
-    // TODO: technically, functionary can reponse both text + tool_call in one shot. But for some reasons, the original implementation of OpenAI only return either ofthem, not both.
+    // TODO: technically, functionary can reponse both text + tool_call in one shot. But for some reasons, the original implementation of OpenAI only return only one, not both.
     if (tool_calls.size() > 0) {
         choices.push_back(json{
             {"index", 0},
@@ -297,4 +295,4 @@ inline json convert_response_to_oai_choices(const std::string & content) {
     return choices;
 }
 
-} // namespace llama_functionary
+} // namespace llama_functionary

examples/server/oai.hpp

@@ -9,6 +9,7 @@
 
 #include "json.hpp"
 #include "utils.hpp"
+#include "functionary.hpp"
 
 #define DEFAULT_OAICOMPAT_MODEL "gpt-3.5-turbo-0613"