This is the snapshot the production landing site (nibiru-framework.com) is deployed from. Brings together the recent splash + docs migration to the v4 "Cosmos" design system, the new in-framework AI module, and the framework groundwork that backs the framework-reference extraction. What lands: - docs/: Astro + Starlight site with the v4 dark cosmic palette, GalaxyHero canvas constellation, Mission Control chat (wired to /api/oracle → api.neuronetz.ai via providers.mjs Ollama), 5-panel MMVC stage (Model · AI · Module · Controller · View), translated EN/DE/JA/ES/FR content, PWA + sitemap + llms.txt + Umami analytics. - docs/design-system/: canonical mockup bundle (source/index-v2.html for splash, source/docs-system.html + preview/ for docs, SPEC.md, tokens). - docs/scripts/extraction/framework-reference-v2.md: deep framework reference (~1.6k lines, file:line citations, every public factory and idiom — basis for the LoRA training corpus. - application/module/ai/: AI module with chat / embed / RAG / agent plugins, plus pdoQuery / httpGet / fileRead tools and Modelfile + smoke-test in training/. - application/module/users/: user / ACL / form-factory traits used as the reference plugin pattern for the framework docs. - application/settings/config/database/: schema + seed migrations including the AI module tables (200–203). - Form factory + autogenerator changes the framework-reference-v2 covers. Production secrets stay out: docs/.env, settings.production.ini and ai.production.ini are all gitignored (.example files are in tree). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
115 lines
3.5 KiB
PHP
115 lines
3.5 KiB
PHP
<?php
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namespace Nibiru\Module\Ai\Plugins;
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/**
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* Chat completions. Talks to Ollama (default) or Anthropic (when configured).
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*
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* $ai = new \Nibiru\Module\Ai\Ai();
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* $reply = $ai->chat()->ask('How do I scaffold a module?');
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*
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* // Multi-turn:
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* $chat = $ai->chat();
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* $chat->user('How do I scaffold a module?');
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* $chat->user('And add Graylog hooks?');
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* echo $chat->complete();
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*
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* // Custom system + model:
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* echo $ai->chat()
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* ->system('Answer in German.')
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* ->user('Explain MMVC.')
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* ->model('qwen2.5-coder:14b')
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* ->complete();
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*/
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class Chat
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{
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protected \stdClass $cfg;
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protected Ollama $ollama;
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/** @var array<int, array{role:string,content:string}> */
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protected array $messages = [];
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protected ?string $modelOverride = null;
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protected ?float $temperature = null;
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protected ?int $maxTokens = null;
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protected ?string $systemPrompt = null;
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public function __construct(\stdClass $cfg)
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{
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$this->cfg = $cfg;
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$this->ollama = new Ollama($cfg);
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$this->systemPrompt = $cfg->chat_system_prompt ?? null;
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}
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public function system(string $prompt): self { $this->systemPrompt = $prompt; return $this; }
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public function model(string $name): self { $this->modelOverride = $name; return $this; }
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public function temperature(float $t): self { $this->temperature = $t; return $this; }
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public function maxTokens(int $n): self { $this->maxTokens = $n; return $this; }
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public function user(string $content): self { $this->messages[] = ['role' => 'user', 'content' => $content]; return $this; }
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public function assistant(string $content): self { $this->messages[] = ['role' => 'assistant', 'content' => $content]; return $this; }
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/**
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* Execute the chat call and return the assistant's reply text.
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* Appends the reply to the message history.
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*/
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public function complete(): string
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{
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$apiMessages = [];
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if ($this->systemPrompt) {
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$apiMessages[] = ['role' => 'system', 'content' => $this->systemPrompt];
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}
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foreach ($this->messages as $m) {
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$apiMessages[] = $m;
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}
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$model = $this->modelOverride
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?? ($this->cfg->chat_model ?? 'qwen2.5-coder:14b');
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$fallback = $this->cfg->chat_fallback_model ?? null;
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$opts = [
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'temperature' => $this->temperature ?? (float) ($this->cfg->chat_temperature ?? 0.4),
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'num_predict' => $this->maxTokens ?? (int) ($this->cfg->chat_max_tokens ?? 1024),
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];
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try {
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$res = $this->ollama->chat($model, $apiMessages, $opts);
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} catch (\RuntimeException $e) {
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if ($fallback && $fallback !== $model) {
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$res = $this->ollama->chat($fallback, $apiMessages, $opts);
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} else {
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throw $e;
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}
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}
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$text = $res['message']['content'] ?? '';
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$this->assistant($text);
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return $text;
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}
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/**
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* One-shot helper — append a user message, complete, return reply.
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*/
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public function ask(string $question): string
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{
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$this->user($question);
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return $this->complete();
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}
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/**
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* Reset the conversation (keeps system prompt + model override).
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*/
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public function reset(): self
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{
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$this->messages = [];
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return $this;
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}
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/**
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* @return array<int, array{role:string,content:string}> the conversation
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*/
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public function history(): array
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{
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return $this->messages;
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}
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}
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