From 579071ac956b4900d8c1413b19d18699d7af985e Mon Sep 17 00:00:00 2001 From: jwangkun <156646047@qq.com> Date: Thu, 8 Jan 2026 17:09:34 +0800 Subject: [PATCH] =?UTF-8?q?=E5=A2=9E=E5=8A=A0=20openai=20=E7=9A=84?= =?UTF-8?q?=E6=A8=A1=E5=9E=8B=E5=85=BC=E5=AE=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- prisma/.env | 11 + prisma/.env.example | 11 + prisma/App.tsx | 3 +- prisma/SettingsModal.tsx | 12 +- prisma/api.ts | 81 +- prisma/components/Header.tsx | 23 +- prisma/components/settings/ApiSection.tsx | 36 +- prisma/components/settings/ModelSection.tsx | 223 + prisma/config.ts | 131 +- prisma/hooks/useDeepThink.ts | 10 +- prisma/package-lock.json | 4254 +++++++++++++++++++ prisma/package.json | 11 +- prisma/services/deepThink/expert.ts | 92 +- prisma/services/deepThink/manager.ts | 244 +- prisma/services/deepThink/openaiClient.ts | 157 + prisma/services/deepThink/synthesis.ts | 74 +- prisma/types.ts | 15 +- prisma/vite-env.d.ts | 9 + 18 files changed, 5185 insertions(+), 212 deletions(-) create mode 100644 prisma/.env create mode 100644 prisma/.env.example create mode 100644 prisma/components/settings/ModelSection.tsx create mode 100644 prisma/package-lock.json create mode 100644 prisma/services/deepThink/openaiClient.ts create mode 100644 prisma/vite-env.d.ts diff --git a/prisma/.env b/prisma/.env new file mode 100644 index 0000000..71d5832 --- /dev/null +++ b/prisma/.env @@ -0,0 +1,11 @@ +# API Keys Configuration +# Copy this file to .env.local and add your actual API keys + +# Primary API Key (used by default) +# For Google Gemini: https://ai.google.dev/ +# For OpenAI: https://platform.openai.com/ +VITE_API_KEY=sk-d8f36ac74ac24875abcbdcae382177eb + +# Alternative: Use provider-specific keys (optional) +# GEMINI_API_KEY=your_gemini_key_here +# OPENAI_API_KEY=your_openai_key_here diff --git a/prisma/.env.example b/prisma/.env.example new file mode 100644 index 0000000..1e8e72a --- /dev/null +++ b/prisma/.env.example @@ -0,0 +1,11 @@ +# API Keys Configuration +# Copy this file to .env.local and add your actual API keys + +# Primary API Key (used by default) +# For Google Gemini: https://ai.google.dev/ +# For OpenAI: https://platform.openai.com/ +VITE_API_KEY=your_api_key_here + +# Alternative: Use provider-specific keys (optional) +# GEMINI_API_KEY=your_gemini_key_here +# OPENAI_API_KEY=your_openai_key_here diff --git a/prisma/App.tsx b/prisma/App.tsx index 044155e..ca65415 100644 --- a/prisma/App.tsx +++ b/prisma/App.tsx @@ -48,12 +48,13 @@ const App = () => { model={selectedModel} /> -
setIsSettingsOpen(true)} onToggleSidebar={() => setIsSidebarOpen(!isSidebarOpen)} onNewChat={handleNewChat} + config={config} />
diff --git a/prisma/SettingsModal.tsx b/prisma/SettingsModal.tsx index f81ee92..386acb4 100644 --- a/prisma/SettingsModal.tsx +++ b/prisma/SettingsModal.tsx @@ -3,6 +3,7 @@ import React from 'react'; import { Settings, X } from 'lucide-react'; import { AppConfig, ModelOption } from './types'; import ApiSection from './components/settings/ApiSection'; +import ModelSection from './components/settings/ModelSection'; import ThinkingSection from './components/settings/ThinkingSection'; import GithubSection from './components/settings/GithubSection'; @@ -40,12 +41,13 @@ const SettingsModal = ({ {/* Body */}
+ - - diff --git a/prisma/api.ts b/prisma/api.ts index 5511de7..8e3ac9e 100644 --- a/prisma/api.ts +++ b/prisma/api.ts @@ -1,13 +1,78 @@ import { GoogleGenAI } from "@google/genai"; +import OpenAI from "openai"; +import { ApiProvider, AppConfig, CustomModel } from './types'; -export const getAI = (config?: { apiKey?: string; baseUrl?: string }) => { - const options: any = { - apiKey: config?.apiKey || process.env.API_KEY, - }; - - if (config?.baseUrl) { - options.baseUrl = config.baseUrl; +type AIProviderConfig = { + provider?: ApiProvider; + apiKey?: string; + baseUrl?: string; +}; + +/** + * Find custom model configuration by model name + */ +export const findCustomModel = (modelName: string, customModels?: CustomModel[]): CustomModel | undefined => { + return customModels?.find(m => m.name === modelName); +}; + +export const getAI = (config?: AIProviderConfig) => { + const provider = config?.provider || 'google'; + // Support both Vite env vars (VITE_) and standard env vars for flexibility + const apiKey = config?.apiKey || (import.meta.env as any).VITE_API_KEY || process.env.API_KEY; + + if (provider === 'openai' || provider === 'deepseek' || provider === 'custom' || provider === 'anthropic' || provider === 'xai' || provider === 'mistral') { + const options: any = { + apiKey: apiKey, + // WARNING: dangerouslyAllowBrowser enables client-side API calls + // This is acceptable for local development but NOT production + // In production, use a backend proxy to protect API keys + dangerouslyAllowBrowser: true, + }; + + if (config?.baseUrl) { + options.baseURL = config.baseUrl; + } else if (provider === 'deepseek') { + options.baseURL = 'https://api.deepseek.com/v1'; + } else if (provider === 'anthropic') { + options.baseURL = 'https://api.anthropic.com/v1'; + } else if (provider === 'xai') { + options.baseURL = 'https://api.x.ai/v1'; + } else if (provider === 'mistral') { + options.baseURL = 'https://api.mistral.ai/v1'; + } + + return new OpenAI(options); + } else { + const options: any = { + apiKey: apiKey, + }; + + if (config?.baseUrl) { + options.baseUrl = config.baseUrl; + } + + return new GoogleGenAI(options); } +}; - return new GoogleGenAI(options); +export const getAIProvider = (model: string): ApiProvider => { + if (model.startsWith('gpt-') || model.startsWith('o1-')) { + return 'openai'; + } + if (model.startsWith('deepseek-')) { + return 'deepseek'; + } + if (model.startsWith('claude-')) { + return 'anthropic'; + } + if (model.startsWith('grok-')) { + return 'xai'; + } + if (model.startsWith('mistral-') || model.startsWith('mixtral-')) { + return 'mistral'; + } + if (model === 'custom') { + return 'custom'; + } + return 'google'; }; \ No newline at end of file diff --git a/prisma/components/Header.tsx b/prisma/components/Header.tsx index cc38b6d..80cfd12 100644 --- a/prisma/components/Header.tsx +++ b/prisma/components/Header.tsx @@ -1,8 +1,8 @@ import React from 'react'; import { Settings, ChevronDown, Menu } from 'lucide-react'; -import { MODELS } from '../config'; -import { ModelOption } from '../types'; +import { getAllModels } from '../config'; +import { ModelOption, AppConfig } from '../types'; import Logo from './Logo'; interface HeaderProps { @@ -11,22 +11,25 @@ interface HeaderProps { onOpenSettings: () => void; onToggleSidebar: () => void; onNewChat: () => void; + config: AppConfig; } -const Header = ({ selectedModel, setSelectedModel, onOpenSettings, onToggleSidebar, onNewChat }: HeaderProps) => { +const Header = ({ selectedModel, setSelectedModel, onOpenSettings, onToggleSidebar, onNewChat, config }: HeaderProps) => { + const availableModels = getAllModels(config); + return (
- - -
- +
-
- +
+ + {customModels.length > 0 && ( +
+
+ Added Models ({customModels.length}) +
+
+ {customModels.map((model) => ( +
+
setExpandedModelId(expandedModelId === model.id ? null : model.id)} + > +
+
+ {model.name} +
+
+ {model.provider} {model.apiKey && '• Configured'} +
+
+
+ {expandedModelId === model.id ? ( + + ) : ( + + )} + +
+
+ + {expandedModelId === model.id && ( +
+
+ + handleUpdateModel(model.id, { apiKey: e.target.value || undefined })} + className="w-full bg-white border border-slate-200 text-slate-800 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 outline-none placeholder:text-slate-400" + /> +
+ +
+ + handleUpdateModel(model.id, { baseUrl: e.target.value || undefined })} + className="w-full bg-white border border-slate-200 text-slate-800 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block p-2.5 outline-none placeholder:text-slate-400" + /> +
+
+ )} +
+ ))} +
+
+ )} +
+
+ ); +}; + +export default ModelSection; diff --git a/prisma/config.ts b/prisma/config.ts index 36a8f3d..d78d949 100644 --- a/prisma/config.ts +++ b/prisma/config.ts @@ -1,16 +1,90 @@ -import { ModelOption, ThinkingLevel, AppConfig } from './types'; +import { ModelOption, ThinkingLevel, AppConfig, ApiProvider } from './types'; -export const MODELS: { value: ModelOption; label: string; desc: string }[] = [ - { - value: 'gemini-3-flash-preview', - label: 'Gemini 3 Flash', - desc: 'Low latency, high throughput, dynamic thinking.' +export const MODELS: { value: ModelOption; label: string; desc: string; provider: ApiProvider }[] = [ + { + value: 'gemini-3-flash-preview', + label: 'Gemini 3 Flash', + desc: 'Low latency, high throughput, dynamic thinking.', + provider: 'google' }, - { - value: 'gemini-3-pro-preview', - label: 'Gemini 3 Pro', - desc: 'Deep reasoning, complex tasks, higher intelligence.' + { + value: 'gemini-3-pro-preview', + label: 'Gemini 3 Pro', + desc: 'Deep reasoning, complex tasks, higher intelligence.', + provider: 'google' + }, + { + value: 'gpt-4o', + label: 'GPT-4o', + desc: 'OpenAI flagship model with vision capabilities.', + provider: 'openai' + }, + { + value: 'gpt-4o-mini', + label: 'GPT-4o Mini', + desc: 'Fast, affordable small model for focused tasks.', + provider: 'openai' + }, + { + value: 'o1-preview', + label: 'O1 Preview', + desc: 'Advanced reasoning model with chain-of-thought.', + provider: 'openai' + }, + { + value: 'o1-mini', + label: 'O1 Mini', + desc: 'Fast reasoning model for efficient problem solving.', + provider: 'openai' + }, + { + value: 'deepseek-chat', + label: 'DeepSeek Chat', + desc: 'Advanced language model optimized for conversational AI.', + provider: 'deepseek' + }, + { + value: 'deepseek-coder', + label: 'DeepSeek Coder', + desc: 'Specialized model for code generation and programming tasks.', + provider: 'deepseek' + }, + { + value: 'claude-3-5-sonnet-20241022', + label: 'Claude 3.5 Sonnet', + desc: 'Anthropic\'s most capable model with excellent reasoning.', + provider: 'anthropic' + }, + { + value: 'claude-3-haiku-20240307', + label: 'Claude 3 Haiku', + desc: 'Fast and efficient model for quick responses.', + provider: 'anthropic' + }, + { + value: 'grok-2-1212', + label: 'Grok 2', + desc: 'xAI\'s advanced model with real-time knowledge.', + provider: 'xai' + }, + { + value: 'mistral-large-2411', + label: 'Mistral Large', + desc: 'Mistral\'s flagship model for complex reasoning.', + provider: 'mistral' + }, + { + value: 'mixtral-8x7b-32768', + label: 'Mixtral 8x7B', + desc: 'Mixture of Experts model with excellent performance.', + provider: 'mistral' + }, + { + value: 'custom', + label: 'Custom Model', + desc: 'Use any OpenAI-compatible API (LM Studio, Ollama, LocalAI, etc.) by configuring custom base URL.', + provider: 'custom' }, ]; @@ -27,24 +101,51 @@ export const DEFAULT_CONFIG: AppConfig = { customApiKey: '', customBaseUrl: '', enableCustomApi: false, - enableRecursiveLoop: false + enableRecursiveLoop: false, + apiProvider: 'google', + customModels: [] }; export const getValidThinkingLevels = (model: ModelOption): ThinkingLevel[] => { if (model === 'gemini-3-pro-preview') { return ['low', 'high']; } + if (model === 'o1-preview' || model === 'o1-mini') { + return ['low', 'medium', 'high']; + } return ['minimal', 'low', 'medium', 'high']; }; export const getThinkingBudget = (level: ThinkingLevel, model: ModelOption): number => { - const isPro = model === 'gemini-3-pro-preview'; - + const isGeminiPro = model === 'gemini-3-pro-preview'; + const isOpenAIReasoning = model === 'o1-preview' || model === 'o1-mini'; + switch (level) { - case 'minimal': return 0; // Disables thinking + case 'minimal': return 0; case 'low': return 2048; case 'medium': return 8192; - case 'high': return isPro ? 32768 : 16384; + case 'high': + if (isOpenAIReasoning) return 65536; + if (isGeminiPro) return 32768; + return 16384; default: return 0; } }; + +export const getProvider = (model: ModelOption): ApiProvider => { + const modelInfo = MODELS.find(m => m.value === model); + return modelInfo?.provider || 'google'; +}; + +export const getAllModels = (config: AppConfig): { value: ModelOption; label: string; desc: string; provider: ApiProvider }[] => { + const presetModels = MODELS.filter(m => m.value !== 'custom'); + + const customModels = (config.customModels || []).map(m => ({ + value: m.name as ModelOption, + label: m.name, + desc: `Custom ${m.provider} model`, + provider: m.provider + })); + + return [...presetModels, ...customModels]; +}; diff --git a/prisma/hooks/useDeepThink.ts b/prisma/hooks/useDeepThink.ts index 35388a2..9526894 100644 --- a/prisma/hooks/useDeepThink.ts +++ b/prisma/hooks/useDeepThink.ts @@ -1,6 +1,6 @@ import { useCallback } from 'react'; -import { getAI } from '../api'; +import { getAI, getAIProvider, findCustomModel } from '../api'; import { getThinkingBudget } from '../config'; import { AppConfig, ModelOption, ExpertResult, ChatMessage } from '../types'; @@ -99,9 +99,13 @@ export const useDeepThink = () => { setProcessStartTime(Date.now()); setProcessEndTime(null); + const provider = getAIProvider(model); + const customModelConfig = findCustomModel(model, config.customModels); + const ai = getAI({ - apiKey: config.enableCustomApi ? config.customApiKey : undefined, - baseUrl: (config.enableCustomApi && config.customBaseUrl) ? config.customBaseUrl : undefined + provider, + apiKey: customModelConfig?.apiKey || config.customApiKey, + baseUrl: customModelConfig?.baseUrl || config.customBaseUrl }); try { diff --git a/prisma/package-lock.json b/prisma/package-lock.json new file mode 100644 index 0000000..16a9186 --- /dev/null +++ b/prisma/package-lock.json @@ -0,0 +1,4254 @@ +{ + "name": "prisma", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "prisma", + "version": "0.0.0", + "dependencies": { + "@google/genai": "^1.34.0", + "lucide-react": "^0.562.0", + "openai": 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--git a/prisma/package.json b/prisma/package.json index 18fd9e3..2ccc7fc 100644 --- a/prisma/package.json +++ b/prisma/package.json @@ -9,14 +9,15 @@ "preview": "vite preview" }, "dependencies": { - "react-markdown": "^10.1.0", - "remark-math": "6.0.0", - "rehype-katex": "7.0.0", "@google/genai": "^1.34.0", "lucide-react": "^0.562.0", - "react-dom": "^19.2.3", + "openai": "^6.15.0", "react": "^19.2.3", - "react-syntax-highlighter": "^16.1.0" + "react-dom": "^19.2.3", + "react-markdown": "^10.1.0", + "react-syntax-highlighter": "^16.1.0", + "rehype-katex": "7.0.0", + "remark-math": "6.0.0" }, "devDependencies": { "@types/node": "^22.14.0", diff --git a/prisma/services/deepThink/expert.ts b/prisma/services/deepThink/expert.ts index 49c0269..c836b8e 100644 --- a/prisma/services/deepThink/expert.ts +++ b/prisma/services/deepThink/expert.ts @@ -1,6 +1,11 @@ import { ModelOption, ExpertResult } from '../../types'; import { getExpertSystemInstruction } from './prompts'; import { withRetry } from '../utils/retry'; +import { generateContentStream as generateOpenAIStream } from './openaiClient'; + +const isGoogleProvider = (ai: any): boolean => { + return ai?.models?.generateContentStream !== undefined; +}; export const streamExpertResponse = async ( ai: any, @@ -11,44 +16,65 @@ export const streamExpertResponse = async ( signal: AbortSignal, onChunk: (text: string, thought: string) => void ): Promise => { - // We wrap the stream initiation in retry. - // If the stream is successfully established but fails during iteration, - // we catch that separately. - const streamResult = await withRetry(() => ai.models.generateContentStream({ - model: model, - contents: expert.prompt, - config: { - systemInstruction: getExpertSystemInstruction(expert.role, expert.description, context), - temperature: expert.temperature, - thinkingConfig: { + const isGoogle = isGoogleProvider(ai); + + if (isGoogle) { + const streamResult = await withRetry(() => ai.models.generateContentStream({ + model: model, + contents: expert.prompt, + config: { + systemInstruction: getExpertSystemInstruction(expert.role, expert.description, context), + temperature: expert.temperature, + thinkingConfig: { thinkingBudget: budget, - includeThoughts: true + includeThoughts: true + } } + })); + + try { + for await (const chunk of (streamResult as any)) { + if (signal.aborted) break; + + let chunkText = ""; + let chunkThought = ""; + + if (chunk.candidates?.[0]?.content?.parts) { + for (const part of chunk.candidates[0].content.parts) { + if (part.thought) { + chunkThought += (part.text || ""); + } else if (part.text) { + chunkText += part.text; + } + } + onChunk(chunkText, chunkThought); + } + } + } catch (streamError) { + console.error(`Stream interrupted for expert ${expert.role}:`, streamError); + throw streamError; } - })); + } else { + const stream = generateOpenAIStream(ai, { + model, + systemInstruction: getExpertSystemInstruction(expert.role, expert.description, context), + content: expert.prompt, + temperature: expert.temperature, + thinkingConfig: { + thinkingBudget: budget, + includeThoughts: true + } + }); - try { - for await (const chunk of streamResult) { - if (signal.aborted) break; + try { + for await (const chunk of (stream as any)) { + if (signal.aborted) break; - let chunkText = ""; - let chunkThought = ""; - - if (chunk.candidates?.[0]?.content?.parts) { - for (const part of chunk.candidates[0].content.parts) { - if (part.thought) { - chunkThought += (part.text || ""); - } else if (part.text) { - chunkText += part.text; - } - } - onChunk(chunkText, chunkThought); - } + onChunk(chunk.text, chunk.thought || ''); + } + } catch (streamError) { + console.error(`Stream interrupted for expert ${expert.role}:`, streamError); + throw streamError; } - } catch (streamError) { - console.error(`Stream interrupted for expert ${expert.role}:`, streamError); - // We don't retry mid-stream automatically here to avoid complex state management, - // but the initial connection is protected by withRetry. - throw streamError; } }; diff --git a/prisma/services/deepThink/manager.ts b/prisma/services/deepThink/manager.ts index 7663e9e..f43059f 100644 --- a/prisma/services/deepThink/manager.ts +++ b/prisma/services/deepThink/manager.ts @@ -1,8 +1,14 @@ import { Type } from "@google/genai"; -import { ModelOption, AnalysisResult, ExpertResult, ReviewResult } from '../../types'; +import { ModelOption, AnalysisResult, ExpertResult, ReviewResult, ApiProvider } from '../../types'; import { cleanJsonString } from '../../utils'; import { MANAGER_SYSTEM_PROMPT, MANAGER_REVIEW_SYSTEM_PROMPT } from './prompts'; import { withRetry } from '../utils/retry'; +import { generateContent as generateOpenAIContent } from './openaiClient'; +import { getAIProvider } from '../../api'; + +const isGoogleProvider = (ai: any): boolean => { + return ai?.models?.generateContent !== undefined; +}; export const executeManagerAnalysis = async ( ai: any, @@ -11,57 +17,86 @@ export const executeManagerAnalysis = async ( context: string, budget: number ): Promise => { - const managerSchema = { - type: Type.OBJECT, - properties: { - thought_process: { type: Type.STRING, description: "Brief explanation of why these supplementary experts were chosen." }, - experts: { - type: Type.ARRAY, - items: { - type: Type.OBJECT, - properties: { - role: { type: Type.STRING }, - description: { type: Type.STRING }, - temperature: { type: Type.NUMBER }, - prompt: { type: Type.STRING } - }, - required: ["role", "description", "temperature", "prompt"] - } - } - }, - required: ["thought_process", "experts"] - }; + const isGoogle = isGoogleProvider(ai); - try { - const analysisResp = await withRetry(() => ai.models.generateContent({ - model: model, - contents: `Context:\n${context}\n\nCurrent Query: "${query}"`, - config: { - systemInstruction: MANAGER_SYSTEM_PROMPT, - responseMimeType: "application/json", - responseSchema: managerSchema, - thinkingConfig: { - includeThoughts: true, - thinkingBudget: budget + if (isGoogle) { + const managerSchema = { + type: Type.OBJECT, + properties: { + thought_process: { type: Type.STRING, description: "Brief explanation of why these supplementary experts were chosen." }, + experts: { + type: Type.ARRAY, + items: { + type: Type.OBJECT, + properties: { + role: { type: Type.STRING }, + description: { type: Type.STRING }, + temperature: { type: Type.NUMBER }, + prompt: { type: Type.STRING } + }, + required: ["role", "description", "temperature", "prompt"] + } } - } - })); - - const rawText = analysisResp.text || '{}'; - const cleanText = cleanJsonString(rawText); - - const analysisJson = JSON.parse(cleanText) as AnalysisResult; - if (!analysisJson.experts || !Array.isArray(analysisJson.experts)) { - throw new Error("Invalid schema structure"); - } - return analysisJson; - } catch (e) { - console.error("Manager Analysis Error:", e); - // Return a fallback so the process doesn't completely die if planning fails - return { - thought_process: "Direct processing fallback due to analysis error.", - experts: [] + }, + required: ["thought_process", "experts"] }; + + try { + const analysisResp = await withRetry(() => ai.models.generateContent({ + model: model, + contents: `Context:\n${context}\n\nCurrent Query: "${query}"`, + config: { + systemInstruction: MANAGER_SYSTEM_PROMPT, + responseMimeType: "application/json", + responseSchema: managerSchema, + thinkingConfig: { + includeThoughts: true, + thinkingBudget: budget + } + } + })); + + const rawText = (analysisResp as any).text || '{}'; + const cleanText = cleanJsonString(rawText); + + const analysisJson = JSON.parse(cleanText) as AnalysisResult; + if (!analysisJson.experts || !Array.isArray(analysisJson.experts)) { + throw new Error("Invalid schema structure"); + } + return analysisJson; + } catch (e) { + console.error("Manager Analysis Error:", e); + return { + thought_process: "Direct processing fallback due to analysis error.", + experts: [] + }; + } + } else { + try { + const response = await generateOpenAIContent(ai, { + model, + systemInstruction: MANAGER_SYSTEM_PROMPT, + content: `Context:\n${context}\n\nCurrent Query: "${query}"\n\nReturn a JSON response with this structure:\n{\n "thought_process": "...",\n "experts": [\n { "role": "...", "description": "...", "temperature": number, "prompt": "..." }\n ]\n}`, + temperature: 0.7, + responseFormat: 'json_object', + thinkingConfig: { + includeThoughts: true, + thinkingBudget: budget + } + }); + + const analysisJson = JSON.parse(response.text) as AnalysisResult; + if (!analysisJson.experts || !Array.isArray(analysisJson.experts)) { + throw new Error("Invalid schema structure"); + } + return analysisJson; + } catch (e) { + console.error("Manager Analysis Error:", e); + return { + thought_process: "Direct processing fallback due to analysis error.", + experts: [] + }; + } } }; @@ -72,57 +107,78 @@ export const executeManagerReview = async ( currentExperts: ExpertResult[], budget: number ): Promise => { - const reviewSchema = { - type: Type.OBJECT, - properties: { - satisfied: { type: Type.BOOLEAN, description: "True if the experts have fully answered the query with high quality." }, - critique: { type: Type.STRING, description: "If not satisfied, explain why and what is missing." }, - next_round_strategy: { type: Type.STRING, description: "Plan for the next iteration." }, - refined_experts: { - type: Type.ARRAY, - description: "The list of experts for the next round. Can be the same roles or new ones.", - items: { - type: Type.OBJECT, - properties: { - role: { type: Type.STRING }, - description: { type: Type.STRING }, - temperature: { type: Type.NUMBER }, - prompt: { type: Type.STRING } - }, - required: ["role", "description", "temperature", "prompt"] - } - } - }, - required: ["satisfied", "critique"] - }; - - const expertOutputs = currentExperts.map(e => + const isGoogle = isGoogleProvider(ai); + const expertOutputs = currentExperts.map(e => `--- [Round ${e.round}] Expert: ${e.role} ---\nOutput: ${e.content?.slice(0, 2000)}...` ).join('\n\n'); const content = `User Query: "${query}"\n\nCurrent Expert Outputs:\n${expertOutputs}`; - try { - const resp = await withRetry(() => ai.models.generateContent({ - model: model, - contents: content, - config: { - systemInstruction: MANAGER_REVIEW_SYSTEM_PROMPT, - responseMimeType: "application/json", - responseSchema: reviewSchema, - thinkingConfig: { - includeThoughts: true, - thinkingBudget: budget + if (isGoogle) { + const reviewSchema = { + type: Type.OBJECT, + properties: { + satisfied: { type: Type.BOOLEAN, description: "True if the experts have fully answered the query with high quality." }, + critique: { type: Type.STRING, description: "If not satisfied, explain why and what is missing." }, + next_round_strategy: { type: Type.STRING, description: "Plan for the next iteration." }, + refined_experts: { + type: Type.ARRAY, + description: "The list of experts for the next round. Can be the same roles or new ones.", + items: { + type: Type.OBJECT, + properties: { + role: { type: Type.STRING }, + description: { type: Type.STRING }, + temperature: { type: Type.NUMBER }, + prompt: { type: Type.STRING } + }, + required: ["role", "description", "temperature", "prompt"] + } } - } - })); + }, + required: ["satisfied", "critique"] + }; - const rawText = resp.text || '{}'; - const cleanText = cleanJsonString(rawText); - return JSON.parse(cleanText) as ReviewResult; - } catch (e) { - console.error("Review Error:", e); - // Fallback: Assume satisfied if JSON or API fails to avoid infinite loops - return { satisfied: true, critique: "Processing Error, proceeding to synthesis." }; + try { + const resp = await withRetry(() => ai.models.generateContent({ + model: model, + contents: content, + config: { + systemInstruction: MANAGER_REVIEW_SYSTEM_PROMPT, + responseMimeType: "application/json", + responseSchema: reviewSchema, + thinkingConfig: { + includeThoughts: true, + thinkingBudget: budget + } + } + })); + + const rawText = (resp as any).text || '{}'; + const cleanText = cleanJsonString(rawText); + return JSON.parse(cleanText) as ReviewResult; + } catch (e) { + console.error("Review Error:", e); + return { satisfied: true, critique: "Processing Error, proceeding to synthesis." }; + } + } else { + try { + const response = await generateOpenAIContent(ai, { + model, + systemInstruction: MANAGER_REVIEW_SYSTEM_PROMPT, + content: `${content}\n\nReturn a JSON response with this structure:\n{\n "satisfied": boolean,\n "critique": "...",\n "next_round_strategy": "...",\n "refined_experts": [...]\n}`, + temperature: 0.7, + responseFormat: 'json_object', + thinkingConfig: { + includeThoughts: true, + thinkingBudget: budget + } + }); + + return JSON.parse(response.text) as ReviewResult; + } catch (e) { + console.error("Review Error:", e); + return { satisfied: true, critique: "Processing Error, proceeding to synthesis." }; + } } }; diff --git a/prisma/services/deepThink/openaiClient.ts b/prisma/services/deepThink/openaiClient.ts new file mode 100644 index 0000000..c67cb80 --- /dev/null +++ b/prisma/services/deepThink/openaiClient.ts @@ -0,0 +1,157 @@ +import OpenAI from "openai"; +import { ModelOption } from '../../types'; +import { withRetry } from '../utils/retry'; + +export interface OpenAIStreamChunk { + text: string; + thought?: string; +} + +export interface OpenAIConfig { + model: ModelOption; + systemInstruction?: string; + content: string; + temperature?: number; + responseFormat?: 'text' | 'json_object'; + thinkingConfig?: { + includeThoughts: boolean; + thinkingBudget: number; + }; +} + +const parseThinkingTokens = (text: string): { thought: string; text: string } => { + const thinkPattern = /([\s\S]*?)<\/thinking>/g; + let thought = ''; + let cleanText = text; + + const matches = text.matchAll(thinkPattern); + for (const match of matches) { + thought += match[1]; + } + + cleanText = text.replace(thinkPattern, ''); + + return { thought: thought.trim(), text: cleanText.trim() }; +}; + +export const generateContent = async ( + ai: OpenAI, + config: OpenAIConfig +): Promise<{ text: string; thought?: string }> => { + const messages: Array = []; + + if (config.systemInstruction) { + messages.push({ + role: 'system', + content: config.systemInstruction + }); + } + + messages.push({ + role: 'user', + content: config.content + }); + + const requestOptions: any = { + model: config.model, + messages, + temperature: config.temperature, + }; + + if (config.responseFormat === 'json_object') { + requestOptions.response_format = { type: 'json_object' }; + } + + try { + const response = await withRetry(() => ai.chat.completions.create(requestOptions)); + const content = response.choices[0]?.message?.content || ''; + + if (config.thinkingConfig?.includeThoughts) { + const { thought, text } = parseThinkingTokens(content); + return { text, thought }; + } + + return { text: content }; + } catch (error) { + console.error('OpenAI generateContent error:', error); + throw error; + } +}; + +export async function* generateContentStream( + ai: OpenAI, + config: OpenAIConfig +): AsyncGenerator { + const messages: Array = []; + + if (config.systemInstruction) { + messages.push({ + role: 'system', + content: config.systemInstruction + }); + } + + messages.push({ + role: 'user', + content: config.content + }); + + const requestOptions: any = { + model: config.model, + messages, + temperature: config.temperature, + stream: true, + }; + + const stream = await withRetry(() => ai.chat.completions.create(requestOptions) as any); + + let accumulatedText = ''; + let inThinking = false; + let currentThought = ''; + + for await (const chunk of (stream as any)) { + const delta = chunk.choices[0]?.delta?.content || ''; + + if (!delta) continue; + + accumulatedText += delta; + + if (config.thinkingConfig?.includeThoughts) { + if (delta.includes('')) { + inThinking = true; + continue; + } + + if (inThinking) { + if (delta.includes('')) { + inThinking = false; + const parts = delta.split('', 2); + currentThought += parts[0]; + + if (currentThought.trim()) { + yield { text: '', thought: currentThought }; + currentThought = ''; + } + + if (parts[1]) { + yield { text: parts[1], thought: '' }; + } + } else { + currentThought += delta; + if (currentThought.length > 100) { + yield { text: '', thought: currentThought }; + currentThought = ''; + } + } + } else { + yield { text: delta, thought: '' }; + } + } else { + yield { text: delta, thought: '' }; + } + } + + if (currentThought.trim()) { + yield { text: '', thought: currentThought }; + } +} diff --git a/prisma/services/deepThink/synthesis.ts b/prisma/services/deepThink/synthesis.ts index a8f0754..6a63c96 100644 --- a/prisma/services/deepThink/synthesis.ts +++ b/prisma/services/deepThink/synthesis.ts @@ -1,6 +1,11 @@ import { ModelOption, ExpertResult } from '../../types'; import { getSynthesisPrompt } from './prompts'; import { withRetry } from '../utils/retry'; +import { generateContentStream as generateOpenAIStream } from './openaiClient'; + +const isGoogleProvider = (ai: any): boolean => { + return ai?.models?.generateContentStream !== undefined; +}; export const streamSynthesisResponse = async ( ai: any, @@ -13,38 +18,63 @@ export const streamSynthesisResponse = async ( onChunk: (text: string, thought: string) => void ): Promise => { const prompt = getSynthesisPrompt(historyContext, query, expertResults); + const isGoogle = isGoogleProvider(ai); - const synthesisStream = await withRetry(() => ai.models.generateContentStream({ - model: model, - contents: prompt, - config: { - thinkingConfig: { + if (isGoogle) { + const synthesisStream = await withRetry(() => ai.models.generateContentStream({ + model: model, + contents: prompt, + config: { + thinkingConfig: { thinkingBudget: budget, includeThoughts: true - } - } - })); + } + } + })); - try { - for await (const chunk of synthesisStream) { - if (signal.aborted) break; + try { + for await (const chunk of (synthesisStream as any)) { + if (signal.aborted) break; - let chunkText = ""; - let chunkThought = ""; + let chunkText = ""; + let chunkThought = ""; - if (chunk.candidates?.[0]?.content?.parts) { + if (chunk.candidates?.[0]?.content?.parts) { for (const part of chunk.candidates[0].content.parts) { - if (part.thought) { - chunkThought += (part.text || ""); - } else if (part.text) { - chunkText += part.text; - } + if (part.thought) { + chunkThought += (part.text || ""); + } else if (part.text) { + chunkText += part.text; + } } onChunk(chunkText, chunkThought); + } } + } catch (streamError) { + console.error("Synthesis stream interrupted:", streamError); + throw streamError; + } + } else { + const stream = generateOpenAIStream(ai, { + model, + systemInstruction: undefined, + content: prompt, + temperature: 0.7, + thinkingConfig: { + thinkingBudget: budget, + includeThoughts: true + } + }); + + try { + for await (const chunk of (stream as any)) { + if (signal.aborted) break; + + onChunk(chunk.text, chunk.thought || ''); + } + } catch (streamError) { + console.error("Synthesis stream interrupted:", streamError); + throw streamError; } - } catch (streamError) { - console.error("Synthesis stream interrupted:", streamError); - throw streamError; } }; diff --git a/prisma/types.ts b/prisma/types.ts index c8fa826..169d4d9 100644 --- a/prisma/types.ts +++ b/prisma/types.ts @@ -1,5 +1,14 @@ -export type ModelOption = 'gemini-3-flash-preview' | 'gemini-3-pro-preview'; +export type ModelOption = 'gemini-3-flash-preview' | 'gemini-3-pro-preview' | 'gpt-4.1' | 'gpt-4o' | 'gpt-4o-mini' | 'o1-preview' | 'o1-mini' | 'deepseek-chat' | 'deepseek-coder' | 'custom' | string; export type ThinkingLevel = 'minimal' | 'low' | 'medium' | 'high'; +export type ApiProvider = 'google' | 'openai' | 'deepseek' | 'anthropic' | 'xai' | 'mistral' | 'custom'; + +export type CustomModel = { + id: string; + name: string; + provider: ApiProvider; + apiKey?: string; + baseUrl?: string; +}; export type ExpertConfig = { id: string; @@ -40,7 +49,9 @@ export type AppConfig = { customApiKey?: string; customBaseUrl?: string; enableCustomApi?: boolean; - enableRecursiveLoop?: boolean; // New toggle for loop mode + enableRecursiveLoop?: boolean; + apiProvider?: ApiProvider; + customModels?: CustomModel[]; }; export type ChatMessage = { diff --git a/prisma/vite-env.d.ts b/prisma/vite-env.d.ts new file mode 100644 index 0000000..66483c7 --- /dev/null +++ b/prisma/vite-env.d.ts @@ -0,0 +1,9 @@ +/// + +interface ImportMetaEnv { + readonly VITE_API_KEY?: string +} + +interface ImportMeta { + readonly env: ImportMetaEnv +}