Janady13/AI_Brain / the_tired_agi/core/src/agi_chat.c

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Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / the_tired_agi/core/src/agi_chat.c
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	d6c309d3fa439714ca46b9d3bb94caf478ea5376
Branch	main
Path or archive member	the_tired_agi/core/src/agi_chat.c
Original SHA-256	db4f6b7c7e02e932329069f0886c6b02b098f122ae2bbb3ed735e7d6f8aee502
Git blob SHA	01798c51341dff2ab037c4d022eb4eb6d640b2d5
Reading-copy SHA-256	db4f6b7c7e02e932329069f0886c6b02b098f122ae2bbb3ed735e7d6f8aee502
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Original record	Branch or archive	Revision / identifier	Original location
Janady13/AI_Brain / the_tired_agi/core/src/agi_chat.c	main	d6c309d3fa439714ca46b9d3bb94caf478ea5376	Open original
Janady13/AI_Brain / the_tired_agi/core/src/agi_chat.c	claude/binary-helix-fibonacci-hive-011CUj7dx1WWJLVYcWCjBbYv	527d4882c71eb041393f9d8945996177c5ac9e86	Open original
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/*
 * AGI Conversational Interface
 * Natural language understanding and command execution
 * Integrates with distributed agent swarm
 */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdint.h>
#include <ctype.h>
#include <time.h>
#include <unistd.h>

#ifdef HAVE_CURL
#include <curl/curl.h>
#endif

#define MAX_INPUT 4096
#define MAX_MEMORY 64
#define MAX_KNOWLEDGE 250000
#define DICT_SIZE 150000
#define MAX_RESPONSE 8192

// FNV-1a hash
static uint64_t hash_phrase(const char* str) {
    uint64_t hash = 0xcbf29ce484222325ULL;
    while (*str) {
        hash ^= (unsigned char)tolower(*str++);
        hash *= 0x100000001b3ULL;
    }
    return hash;
}

// Memory entry
typedef struct {
    char input[256];
    char response[512];
    uint64_t timestamp;
} MemoryEntry;

// Knowledge entry
typedef struct {
    uint64_t hash;
    char fact[256];
    uint32_t confidence;
} KnowledgeEntry;

// AGI state
typedef struct {
    MemoryEntry memory[MAX_MEMORY];
    KnowledgeEntry knowledge[MAX_KNOWLEDGE];
    size_t memory_idx;
    size_t knowledge_count;
    uint64_t conversation_count;
    char gossip_url[128];
} AGIChat;

static AGIChat agi_state = {0};

// Common English words and patterns for understanding
static const char* common_words[] = {
    "what", "how", "why", "when", "where", "who",
    "is", "are", "was", "were", "be", "been",
    "do", "does", "did", "done",
    "have", "has", "had",
    "will", "would", "should", "could",
    "can", "may", "might", "must",
    "the", "a", "an", "this", "that", "these", "those",
    "I", "you", "he", "she", "it", "we", "they",
    "my", "your", "his", "her", "its", "our", "their",
    "me", "him", "them", "us",
    "and", "or", "but", "if", "then", "else",
    "not", "no", "yes", "maybe", "perhaps",
    "make", "get", "give", "take", "go", "come",
    "see", "look", "find", "use", "try", "work",
    "call", "tell", "ask", "need", "want", "like",
    "know", "think", "feel", "become", "seem",
    "run", "move", "live", "die", "stop", "start",
    "turn", "show", "play", "write", "read", "learn",
    "build", "create", "destroy", "fix", "break",
    "agent", "swarm", "migration", "cluster", "gossip",
    "train", "teach", "understand", "respond", "talk",
    "status", "stats", "info", "help", "exit", "quit"
};

#ifdef HAVE_CURL
// curl write callback
static size_t curl_write_cb(void* contents, size_t size, size_t nmemb, void* userp) {
    size_t realsize = size * nmemb;
    char* response = (char*)userp;
    size_t len = strlen(response);
    if (len + realsize < MAX_RESPONSE - 1) {
        memcpy(response + len, contents, realsize);
        response[len + realsize] = '\0';
    }
    return realsize;
}
#endif

// Query gossip service for swarm status
static int query_swarm_status(char* out_buf, size_t buf_size) {
#ifdef HAVE_CURL
    CURL* curl = curl_easy_init();
    if (!curl) return -1;

    char response[MAX_RESPONSE] = {0};
    curl_easy_setopt(curl, CURLOPT_URL, agi_state.gossip_url);
    curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, curl_write_cb);
    curl_easy_setopt(curl, CURLOPT_WRITEDATA, response);
    curl_easy_setopt(curl, CURLOPT_TIMEOUT, 2L);

    CURLcode res = curl_easy_perform(curl);
    curl_easy_cleanup(curl);

    if (res == CURLE_OK) {
        snprintf(out_buf, buf_size, "%s", response);
        return 0;
    }
    return -1;
#else
    // Fallback: use curl command-line tool
    FILE* fp = popen("curl -s -m 2 http://localhost:8008/stats 2>/dev/null", "r");
    if (!fp) return -1;

    char line[256];
    out_buf[0] = '\0';
    while (fgets(line, sizeof(line), fp) != NULL) {
        size_t current_len = strlen(out_buf);
        size_t line_len = strlen(line);
        if (current_len + line_len < buf_size - 1) {
            strcat(out_buf, line);
        }
    }

    int ret = pclose(fp);
    return (ret == 0 && strlen(out_buf) > 0) ? 0 : -1;
#endif
}

// Add to memory
static void remember(const char* input, const char* response) {
    size_t idx = agi_state.memory_idx % MAX_MEMORY;
    snprintf(agi_state.memory[idx].input, sizeof(agi_state.memory[idx].input), "%s", input);
    snprintf(agi_state.memory[idx].response, sizeof(agi_state.memory[idx].response), "%s", response);
    agi_state.memory[idx].timestamp = (uint64_t)time(NULL);
    agi_state.memory_idx++;
}

// Search memory for similar input
static const char* recall(const char* input) {
    uint64_t input_hash = hash_phrase(input);

    // Search recent memory for similar inputs
    for (size_t i = 0; i < MAX_MEMORY && i < agi_state.memory_idx; i++) {
        size_t idx = (agi_state.memory_idx - 1 - i) % MAX_MEMORY;
        uint64_t mem_hash = hash_phrase(agi_state.memory[idx].input);

        // Simple similarity: matching hash prefix (32 bits)
        if ((input_hash >> 32) == (mem_hash >> 32)) {
            return agi_state.memory[idx].response;
        }
    }
    return NULL;
}

// Add knowledge
static void learn(const char* fact, uint32_t confidence) {
    if (agi_state.knowledge_count >= MAX_KNOWLEDGE) return;

    uint64_t hash = hash_phrase(fact);

    // Check if already known
    for (size_t i = 0; i < agi_state.knowledge_count; i++) {
        if (agi_state.knowledge[i].hash == hash) {
            // Update confidence
            agi_state.knowledge[i].confidence =
                (agi_state.knowledge[i].confidence + confidence) / 2;
            return;
        }
    }

    // Add new knowledge
    agi_state.knowledge[agi_state.knowledge_count].hash = hash;
    snprintf(agi_state.knowledge[agi_state.knowledge_count].fact,
             sizeof(agi_state.knowledge[agi_state.knowledge_count].fact), "%s", fact);
    agi_state.knowledge[agi_state.knowledge_count].confidence = confidence;
    agi_state.knowledge_count++;
}

// Check if input contains word
static int contains_word(const char* input, const char* word) {
    char lower_input[MAX_INPUT];
    snprintf(lower_input, sizeof(lower_input), "%s", input);
    for (char* p = lower_input; *p; p++) *p = tolower(*p);
    return strstr(lower_input, word) != NULL;
}

// Pattern matching for command recognition
static int is_question(const char* input) {
    return contains_word(input, "what") || contains_word(input, "how") ||
           contains_word(input, "why") || contains_word(input, "when") ||
           contains_word(input, "where") || contains_word(input, "who") ||
           strchr(input, '?') != NULL;
}

static int is_status_query(const char* input) {
    return contains_word(input, "status") || contains_word(input, "stats") ||
           contains_word(input, "how many") || contains_word(input, "agents");
}

static int is_help_request(const char* input) {
    return contains_word(input, "help") || contains_word(input, "what can you");
}

static int is_greeting(const char* input) {
    return contains_word(input, "hello") || contains_word(input, "hi") ||
           contains_word(input, "hey") || contains_word(input, "greetings");
}

static int is_farewell(const char* input) {
    return contains_word(input, "bye") || contains_word(input, "goodbye") ||
           contains_word(input, "exit") || contains_word(input, "quit");
}

static int is_training_query(const char* input) {
    return contains_word(input, "train") || contains_word(input, "learn") ||
           contains_word(input, "teach");
}

static int is_migration_query(const char* input) {
    return contains_word(input, "migrate") || contains_word(input, "migration") ||
           contains_word(input, "cluster") || contains_word(input, "distributed");
}

// Generate response based on understanding
static void generate_response(const char* input, char* response, size_t response_size) {
    // Check memory first
    const char* recalled = recall(input);
    if (recalled) {
        snprintf(response, response_size, "%s", recalled);
        return;
    }

    // Pattern-based understanding
    if (is_greeting(input)) {
        snprintf(response, response_size,
                 "Hello! I'm your AGI assistant. I can understand natural language and control the distributed agent swarm. How can I help you?");

    } else if (is_farewell(input)) {
        snprintf(response, response_size,
                 "Goodbye! The swarm continues running in the background. Feel free to return anytime.");

    } else if (is_help_request(input)) {
        snprintf(response, response_size,
                 "I can help you with:\n"
                 "- Check swarm status: 'what is the swarm status?' or 'how many agents?'\n"
                 "- Training: 'train the agents' or 'start learning'\n"
                 "- Migration: 'show migration status' or 'cluster info'\n"
                 "- General conversation: ask me anything about the system\n"
                 "- Memory: I remember our conversations and learn from them");

    } else if (is_status_query(input)) {
        char status[MAX_RESPONSE] = {0};
        if (query_swarm_status(status, sizeof(status)) == 0) {
            snprintf(response, response_size,
                     "Swarm Status:\n%s\n\nConversations: %lu\nKnowledge entries: %zu",
                     status, agi_state.conversation_count, agi_state.knowledge_count);
        } else {
            snprintf(response, response_size,
                     "Unable to connect to gossip service at %s. Is it running?",
                     agi_state.gossip_url);
        }

    } else if (is_training_query(input)) {
        snprintf(response, response_size,
                 "Training capabilities:\n"
                 "- The system learns from our conversations (Memory: %zu/%d)\n"
                 "- Knowledge base: %zu/%d entries\n"
                 "- Distributed learning across %s cluster\n"
                 "- API integration available with 900 credits\n"
                 "What would you like to train?",
                 agi_state.memory_idx < MAX_MEMORY ? agi_state.memory_idx : MAX_MEMORY,
                 MAX_MEMORY, agi_state.knowledge_count, MAX_KNOWLEDGE,
                 agi_state.gossip_url);

    } else if (is_migration_query(input)) {
        char status[MAX_RESPONSE] = {0};
        if (query_swarm_status(status, sizeof(status)) == 0) {
            snprintf(response, response_size,
                     "Migration System Status:\n%s\n\n"
                     "The distributed system uses:\n"
                     "- Binary protocol for efficient agent transfer\n"
                     "- MAX consensus for goal convergence\n"
                     "- Load-based predictive migration\n"
                     "- Fibonacci growth control (10%% every 89 ticks)",
                     status);
        } else {
            snprintf(response, response_size,
                     "Migration system is integrated but gossip service is not responding.");
        }

    } else if (is_question(input)) {
        // Generic question response
        snprintf(response, response_size,
                 "That's an interesting question. I'm still learning about '%s'. "
                 "Based on my current knowledge (%zu entries), I can tell you that "
                 "this system is a distributed AGI with conversational capabilities. "
                 "Ask me more specific questions about the swarm, training, or migration.",
                 input, agi_state.knowledge_count);

    } else {
        // Default response with learning
        snprintf(response, response_size,
                 "I understand you said: '%s'. "
                 "I'm learning from this conversation. "
                 "Try asking about 'status', 'training', 'migration', or 'help' for specific actions.",
                 input);

        // Learn from this interaction
        char fact[256];
        snprintf(fact, sizeof(fact), "user said: %s", input);
        learn(fact, 50);
    }
}

// Main conversational loop
int main(int argc, char** argv) {
    // Initialize
    snprintf(agi_state.gossip_url, sizeof(agi_state.gossip_url),
             "http://localhost:8008/stats");

    printf("🧠 AGI Conversational Interface\n");
    printf("Natural Language Understanding + Distributed Swarm Control\n");
    printf("─────────────────────────────────────────────────────────\n");
    printf("Type 'exit' or 'quit' to end conversation\n\n");

    // Check if gossip service is running
    char test_status[256] = {0};
    if (query_swarm_status(test_status, sizeof(test_status)) == 0) {
        printf("✅ Connected to gossip service\n");
    } else {
        printf("⚠️  Gossip service not responding (will continue anyway)\n");
    }
    printf("\n");

    char input[MAX_INPUT];
    char response[MAX_RESPONSE];

    while (1) {
        printf("You: ");
        fflush(stdout);

        if (!fgets(input, sizeof(input), stdin)) break;

        // Remove newline
        size_t len = strlen(input);
        if (len > 0 && input[len-1] == '\n') input[len-1] = '\0';

        // Skip empty input
        if (strlen(input) == 0) continue;

        // Check for exit
        if (is_farewell(input)) {
            generate_response(input, response, sizeof(response));
            printf("\nAGI: %s\n", response);
            break;
        }

        // Generate and display response
        generate_response(input, response, sizeof(response));
        printf("\nAGI: %s\n\n", response);

        // Remember this exchange
        remember(input, response);
        agi_state.conversation_count++;

        // Periodic learning stats
        if (agi_state.conversation_count % 10 == 0) {
            printf("📊 Learning stats: %lu conversations, %zu knowledge entries\n\n",
                   agi_state.conversation_count, agi_state.knowledge_count);
        }
    }

    printf("\n✅ Conversation ended. Knowledge and memory preserved.\n");
    return 0;
}