#pragma once
#include <string>
#include <vector>
#include <sstream>

namespace Tools {

// Super-lightweight JSON helpers (NOT robust; only for stub/testing).
inline std::string json_kv(const std::string& k, const std::string& v) {
    std::ostringstream os; os << "\"" << k << "\"\: \"" << v << "\""; return os.str();
}
inline std::string json_kv_num(const std::string& k, double v) {
    std::ostringstream os; os << "\"" << k << "\"\: " << v; return os.str();
}
inline std::string json_arr(const std::vector<std::string>& items) {
    std::ostringstream os; os << "[";
    for (size_t i=0;i<items.size();++i){ if(i) os<<","; os<<items[i]; }
    os << "]"; return os.str();
}

// `echo` tool: echoes back the input
inline std::string echo_response(const std::string& input) {
    return input;
}

// `ping` tool: echoes { ok: true, tools: [...] }
inline std::string ping_response(const std::vector<std::string>& toolNames) {
    std::vector<std::string> quoted; quoted.reserve(toolNames.size());
    for (auto &t: toolNames) { std::ostringstream q; q << "\"" << t << "\""; quoted.push_back(q.str()); }
    std::ostringstream os;
    os << "{" << json_kv("status", "ok") << ", "
       << "\"tools\": " << json_arr(quoted) << "}";
    return os.str();
}

// `embed_text` stub: returns zero vectors of dimension 8 for each input text
inline std::string embed_text_stub(size_t n) {
    std::ostringstream os;
    os << "{\"model\":\"stub-embed-8d\",\"vectors\":[";
    for (size_t i=0;i<n;++i){ if(i) os<<","; os<<"[0,0,0,0,0,0,0,0]"; }
    os << "]}";
    return os.str();
}

} // namespace Tools