Enhance z3ed Agent Roadmap and CLI Reference with New Tool Commands and Chat Features

This commit is contained in:
scawful
2025-10-03 13:51:01 -04:00
parent ba9f6533a4
commit c7a7707d25
7 changed files with 268 additions and 49 deletions

View File

@@ -15,47 +15,72 @@ ConversationalAgentService::ConversationalAgentService() {
absl::StatusOr<ChatMessage> ConversationalAgentService::SendMessage(
const std::string& message) {
// 1. Add user message to history.
history_.push_back({ChatMessage::Sender::kUser, message, absl::Now()});
// 2. Get response from the AI service using the full history.
auto response_or = ai_service_->GenerateResponse(history_);
if (!response_or.ok()) {
return absl::InternalError(absl::StrCat("Failed to get AI response: ",
response_or.status().message()));
if (message.empty() && history_.empty()) {
return absl::InvalidArgumentError(
"Conversation must start with a non-empty message.");
}
const auto& agent_response = response_or.value();
// For now, combine text and commands for display.
// In the future, the TUI/GUI will handle these differently.
std::string response_text = agent_response.text_response;
if (!agent_response.commands.empty()) {
response_text += "\n\nCommands:\n" + absl::StrJoin(agent_response.commands, "\n");
if (!message.empty()) {
history_.push_back({ChatMessage::Sender::kUser, message, absl::Now()});
}
// If the agent requested a tool call, dispatch it.
if (!agent_response.tool_calls.empty()) {
for (const auto& tool_call : agent_response.tool_calls) {
auto tool_result_or = tool_dispatcher_.Dispatch(tool_call);
if (tool_result_or.ok()) {
// Add the tool result to the history and send back to the AI.
history_.push_back({ChatMessage::Sender::kAgent, tool_result_or.value(), absl::Now()});
return SendMessage(""); // Re-prompt the AI with the new context.
} else {
// Handle tool execution error.
return absl::InternalError(absl::StrCat("Tool execution failed: ", tool_result_or.status().message()));
constexpr int kMaxToolIterations = 4;
for (int iteration = 0; iteration < kMaxToolIterations; ++iteration) {
auto response_or = ai_service_->GenerateResponse(history_);
if (!response_or.ok()) {
return absl::InternalError(absl::StrCat(
"Failed to get AI response: ", response_or.status().message()));
}
const auto& agent_response = response_or.value();
if (!agent_response.tool_calls.empty()) {
bool executed_tool = false;
for (const auto& tool_call : agent_response.tool_calls) {
auto tool_result_or = tool_dispatcher_.Dispatch(tool_call);
if (!tool_result_or.ok()) {
return absl::InternalError(absl::StrCat(
"Tool execution failed: ", tool_result_or.status().message()));
}
const std::string& tool_output = tool_result_or.value();
if (!tool_output.empty()) {
history_.push_back(
{ChatMessage::Sender::kAgent, tool_output, absl::Now()});
}
executed_tool = true;
}
if (executed_tool) {
// Re-query the AI with updated context.
continue;
}
}
std::string response_text = agent_response.text_response;
if (!agent_response.reasoning.empty()) {
if (!response_text.empty()) {
response_text.append("\n\n");
}
response_text.append("Reasoning: ");
response_text.append(agent_response.reasoning);
}
if (!agent_response.commands.empty()) {
if (!response_text.empty()) {
response_text.append("\n\n");
}
response_text.append("Commands:\n");
response_text.append(absl::StrJoin(agent_response.commands, "\n"));
}
ChatMessage chat_response = {ChatMessage::Sender::kAgent, response_text,
absl::Now()};
history_.push_back(chat_response);
return chat_response;
}
ChatMessage chat_response = {ChatMessage::Sender::kAgent, response_text,
absl::Now()};
// 3. Add agent response to history.
history_.push_back(chat_response);
return chat_response;
return absl::InternalError(
"Agent did not produce a response after executing tools.");
}
const std::vector<ChatMessage>& ConversationalAgentService::GetHistory() const {