More updates and api cleanup

Author: amikhail48

examples/autonomous_agent_example.cpp

@@ -155,7 +155,7 @@ int main() {
             String prompt = "Summarize the following text in no more than " +
                             std::to_string(max_length) + " words:\n\n" + text;
 
-            LLMResponse llm_response = summary_context->getLLM()->complete(prompt);
+            LLMResponse llm_response = summary_context->getLLM()->chat(prompt);
             String summary = llm_response.content;
 
             return ToolResult{

examples/routing_example.cpp

@@ -100,7 +100,7 @@ int main(int argc, char* argv[]) {
             );
 
             // Get response from LLM
-            LLMResponse llm_response = opinion_context->getLLM()->complete(input);
+            LLMResponse llm_response = opinion_context->getLLM()->chat(input);
             String response = llm_response.content;
 
             JsonObject result;
@@ -124,7 +124,7 @@ int main(int argc, char* argv[]) {
             );
 
             // Get response from LLM
-            LLMResponse llm_response = technical_context->getLLM()->complete(input);
+            LLMResponse llm_response = technical_context->getLLM()->chat(input);
             String response = llm_response.content;
 
             JsonObject result;
@@ -139,7 +139,7 @@ int main(int argc, char* argv[]) {
         Logger::info("Handling with default route: {}", input);
 
         // Get response from LLM
-        LLMResponse llm_response = context->getLLM()->complete(input);
+        LLMResponse llm_response = context->getLLM()->chat(input);
         String response = llm_response.content;
 
         JsonObject result;

examples/structured_output_example.cpp

@@ -91,7 +91,7 @@ int main(int argc, char* argv[]) {
 
         // Send a prompt
         std::string prompt = "Give me a simple chocolate chip cookie recipe with 5 ingredients.";
-        auto response = llm->complete(prompt);
+        auto response = llm->chat(prompt);
 
         std::cout << "Prompt: " << prompt << std::endl;
         std::cout << "Structured Response: " << response.content << std::endl;
@@ -117,7 +117,7 @@ int main(int argc, char* argv[]) {
 
         // Send a prompt for sentiment analysis
         std::string prompt = "Classify the sentiment of these statements: 'I love this product', 'This is terrible', 'It's okay'";
-        auto response = llm->complete(prompt);
+        auto response = llm->chat(prompt);
 
         std::cout << "Prompt: " << prompt << std::endl;
         std::cout << "Enum Response: " << response.content << std::endl;
@@ -170,7 +170,7 @@ int main(int argc, char* argv[]) {
 
         // Send a prompt for ticket creation
         std::string prompt = "Create a support ticket for a user who can't log into their account and is getting an 'invalid credentials' error.";
-        auto response = llm->complete(prompt);
+        auto response = llm->chat(prompt);
 
         std::cout << "Prompt: " << prompt << std::endl;
         std::cout << "Complex Schema Response: " << response.content << std::endl;

include/agents-cpp/coroutine_utils.h

@@ -24,14 +24,10 @@
 #include <utility>
 #include <vector>
 
-// Provide standard C++ coroutine-based APIs similar to Folly,
-// implementations that preserve the same public API and usage.
-// If you ever need to re-enable Folly, you can restore the original detection
-// block and branch on HAS_FOLLY_CORO accordingly.
 namespace agents {
 
 /**
- * @brief Standard C++20 coroutine-based Task implementation (no external deps)
+ * @brief Standard C++20 coroutine-based Task implementation
  * @tparam T The result type of the task
  */
 template <typename T>

include/agents-cpp/llm_interface.h

@@ -116,28 +116,10 @@ class LLMInterface {
 
     /**
      * @brief Generate completion from a prompt
-     * @param prompt The prompt to generate completion from
-     * @return The LLM response
-     */
-    virtual LLMResponse complete(const String& prompt);
-
-    /**
-     * @brief Generate completion from a list of messages
-     * @param messages The messages to generate completion from
-     * @return The LLM response
-     */
-    virtual LLMResponse complete(const std::vector<Message>& messages);
-
-    /**
-     * @brief Generate completion with available tools
-     * @param messages The messages to generate completion from
-     * @param tools_schema The tools schema to use
-     * @return The LLM response
+     * @param prompt The prompt
+     * @return The completion
      */
-    virtual LLMResponse completeWithTools(
-        const std::vector<Message>& messages,
-        const std::vector<JsonObject>& tools_schema
-    );
+    virtual LLMResponse chat(const String& prompt) = 0;
 
     /**
      * @brief Generate completion from a list of messages
@@ -167,20 +149,6 @@ class LLMInterface {
         std::function<void(const String&, bool)> callback
     ) = 0;
 
-    /**
-     * @brief Async complete from a prompt
-     * @param prompt The prompt to generate completion from
-     * @return The LLM response
-     */
-    virtual Task<LLMResponse> completeAsync(const String& prompt);
-
-    /**
-     * @brief Async complete from a list of messages
-     * @param messages The messages to generate completion from
-     * @return The LLM response
-     */
-    virtual Task<LLMResponse> completeAsync(const std::vector<Message>& messages);
-
     /**
      * @brief Async chat from a list of messages
      * @param messages The messages to generate completion from

include/agents-cpp/llms/anthropic_llm.h

@@ -81,7 +81,7 @@ class AnthropicLLM : public LLMInterface {
      * @param prompt The prompt
      * @return The completion
      */
-    LLMResponse complete(const String& prompt) override;
+    LLMResponse chat(const String& prompt) override;
 
     /**
      * @brief Generate completion from a list of messages

include/agents-cpp/llms/google_llm.h

@@ -77,7 +77,7 @@ class GoogleLLM : public LLMInterface {
      * @param prompt The prompt
      * @return The completion
      */
-    LLMResponse complete(const String& prompt) override;
+    LLMResponse chat(const String& prompt) override;
 
     /**
      * @brief Generate completion from a list of messages

include/agents-cpp/llms/ollama_llm.h

@@ -76,7 +76,7 @@ class OllamaLLM : public LLMInterface {
      * @param prompt The prompt
      * @return The completion
      */
-    LLMResponse complete(const String& prompt) override;
+    LLMResponse chat(const String& prompt) override;
 
     /**
      * @brief Generate completion from a list of messages

include/agents-cpp/llms/openai_llm.h

@@ -77,7 +77,7 @@ class OpenAILLM : public LLMInterface {
      * @param prompt The prompt
      * @return The completion
      */
-    LLMResponse complete(const String& prompt) override;
+    LLMResponse chat(const String& prompt) override;
 
     /**
      * @brief Generate completion from a list of messages

…clude/agents-cpp/realtime/ilive_client.h …nts-cpp/realtime/live_client_interface.hinclude/agents-cpp/realtime/ilive_client.h renamed to include/agents-cpp/realtime/live_client_interface.h include/agents-cpp/realtime/ilive_client.h renamed to include/agents-cpp/realtime/live_client_interface.h

@@ -1,23 +1,21 @@
 /**
- * @file ilive_client.h
+ * @file live_client_interface.h
  * @brief Abstract interface for live real-time AI clients
- *
- * This interface provides a common abstraction for different real-time
+ * @details This interface provides a common abstraction for different real-time
  * AI providers and transport protocols (WebSocket, WebRTC, etc.).
  *
- * @author Agents-CPP Team
  * @version 1.0
- * @date 2024
+ * @date 2025-07-20
  */
 
 #pragma once
 
 #include <agents-cpp/types.h>
+#include <algorithm>
 #include <functional>
+#include <map>
 #include <memory>
 #include <vector>
-#include <map>
-#include <algorithm>
 
 namespace agents {