--- title: 'Chat Response Agent' description: 'Chat Response Agent API with Multi-Language Support' --- # Chat Response Agent The Chat Response Agent generates engaging, contextually appropriate chat responses for dating conversations. The agent provides intelligent suggestions, tone analysis, and conversation guidance - all with **35+ language support** for natural, localized communication. ## 🚀 Endpoint ### Chat Response Generation **POST** `/api/v1/ai-agents/chat/response` Generates engaging chat responses with conversation suggestions and tone analysis. ## 📝 Request Format ### Chat Response Request ```json { "message": "Hi! I saw you like photography too", "userId": "user123", "context": ["dating", "first_message", "shared_interest"], "tone": "friendly", "language": "en" } ``` ## 🔧 Request Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | `message` | string | ✅ | User's message to respond to | "Hi! I saw you like photography too" | | `userId` | string | ✅ | Current user's unique identifier | "user123" | | `context` | array[string] | ✅ | Conversation context and tags | ["dating", "first_message"] | | `tone` | string | ✅ | Desired response tone | "friendly", "casual", "flirty" | | `language` | string | ✅ | User's preferred language | "en", "es", "fr", "sw" | ### Supported Tones - **friendly** - Warm and approachable - **casual** - Relaxed and informal - **flirty** - Playful and romantic - **professional** - Polite and respectful - **curious** - Interested and engaging ### Supported Languages - **English (en)** - Default - **Spanish (es)** - Español - **French (fr)** - Français - **Swahili (sw)** - Kiswahili - **Arabic (ar)** - العربية - **Chinese (zh)** - 中文 - **Hindi (hi)** - हिन्दी - **Portuguese (pt)** - Português - **Russian (ru)** - Русский - **Japanese (ja)** - 日本語 - **Korean (ko)** - 한국어 - **German (de)** - Deutsch - **Italian (it)** - Italiano - And 20+ more languages... ## 📊 Response Format ### Success Response ```json { "success": true, "data": { "response": "Hey! Yes, I love photography! What kind of photos do you enjoy taking?", "suggestions": [ "Ask about their favorite photography spots", "Share a photography story of your own", "Suggest a photo walk together" ], "tone": "friendly", "nextSteps": [ "Keep the conversation flowing naturally", "Show genuine interest in their responses", "Share something personal about yourself" ] }, "timestamp": "2025-01-15T10:30:00Z" } ``` ### Multi-Language Response Examples #### Spanish Response ```json { "success": true, "data": { "response": "¡Hola! ¡Sí, me encanta la fotografía! ¿Qué tipo de fotos te gusta tomar?", "suggestions": [ "Pregunta sobre sus lugares favoritos para fotografiar", "Comparte una historia de fotografía tuya", "Sugiere una caminata fotográfica juntos" ], "tone": "amigable", "nextSteps": [ "Mantén la conversación fluyendo naturalmente", "Muestra interés genuino en sus respuestas", "Comparte algo personal sobre ti" ] } } ``` #### French Response ```json { "success": true, "data": { "response": "Salut ! Oui, j'adore la photographie ! Quel type de photos aimes-tu prendre ?", "suggestions": [ "Demande-leur leurs endroits préférés pour photographier", "Partage une histoire de photographie de ta part", "Suggère une promenade photo ensemble" ], "tone": "amical", "nextSteps": [ "Garde la conversation qui coule naturellement", "Montre un intérêt sincère pour leurs réponses", "Partage quelque chose de personnel sur toi" ] } } ``` #### Swahili Response ```json { "success": true, "data": { "response": "Hujambo! Ndio, napenda picha! Ni aina gani ya picha unayopenda kuchukua?", "suggestions": [ "Uliza kuhusu sehemu zao za kupenda za picha", "Shiriki hadithi yako ya picha", "Pendekeza kutembea picha pamoja" ], "tone": "rafiki", "nextSteps": [ "Endesha mazungumzo yakiendelea kwa asili", "Onyesha hamu ya kweli kwa majibu yao", "Shiriki kitu cha kibinafsi kuhusu wewe" ] } } ``` ## 🔍 Response Fields | Field | Type | Description | Example | |-------|------|-------------|---------| | `response` | string | Generated chat response | "Hey! Yes, I love photography!..." | | `suggestions` | array[string] | Conversation starter suggestions | ["Ask about their favorite..."] | | `tone` | string | Tone used in the response | "friendly" | | `nextSteps` | array[string] | Guidance for continuing conversation | ["Keep the conversation flowing..."] | ## 🧪 Testing Examples ### English Chat Response ```bash curl -X POST "https://agents.joinwink.app/api/v1/ai-agents/chat/response" \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "message": "Hi! I saw you like photography too", "userId": "user123", "context": ["dating", "first_message", "shared_interest"], "tone": "friendly", "language": "en" }' ``` ### Spanish Chat Response ```bash curl -X POST "https://agents.joinwink.app/api/v1/ai-agents/chat/response" \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "message": "¡Hola! Vi que también te gusta la fotografía", "userId": "user123", "context": ["dating", "first_message", "shared_interest"], "tone": "friendly", "language": "es" }' ``` ### French Chat Response ```bash curl -X POST "https://agents.joinwink.app/api/v1/ai-agents/chat/response" \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "message": "Salut ! J\'ai vu que tu aimes aussi la photographie", "userId": "user123", "context": ["dating", "first_message", "shared_interest"], "tone": "friendly", "language": "fr" }' ``` ## 🔗 Integration Examples ### JavaScript/TypeScript ```typescript class ChatResponseService { private baseURL = 'https://agents.joinwink.app/api/v1/ai-agents'; private apiKey: string; constructor(apiKey: string) { this.apiKey = apiKey; } async generateResponse(message: string, context: string[], language: string = 'en'): Promise { const response = await fetch(`${this.baseURL}/chat/response`, { method: 'POST', headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ message, userId: 'user123', context, tone: 'friendly', language }) }); return response.json(); } async getConversationSuggestions(context: string[], language: string = 'en'): Promise { const response = await fetch(`${this.baseURL}/chat/response`, { method: 'POST', headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ message: "I need some conversation starters", userId: 'user123', context, tone: 'friendly', language }) }); return response.json(); } async analyzeTone(message: string, language: string = 'en'): Promise { const response = await fetch(`${this.baseURL}/chat/response`, { method: 'POST', headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ message, userId: 'user123', context: ['tone_analysis'], tone: 'neutral', language }) }); return response.json(); } } ``` ### React Native ```javascript class ChatResponseService { constructor(apiKey) { this.baseURL = 'https://agents.joinwink.app/api/v1/ai-agents'; this.apiKey = apiKey; } async generateResponse(message, context, language = 'en') { const response = await fetch(`${this.baseURL}/chat/response`, { method: 'POST', headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ message, userId: 'user123', context, tone: 'friendly', language }) }); return response.json(); } async getBatchResponses(messages, context, language = 'en') { const responses = []; for (const message of messages) { try { const response = await this.generateResponse(message, context, language); responses.push({ originalMessage: message, ...response.data }); } catch (error) { console.error(`Failed to generate response for message: ${message}`, error); } } return responses; } async getContextualSuggestions(userProfile, matchProfile, language = 'en') { const context = ['dating', 'conversation_starters', 'profile_based']; const response = await fetch(`${this.baseURL}/chat/response`, { method: 'POST', headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' }, body: JSON.stringify({ message: `Generate conversation starters for someone who likes ${userProfile.interests.join(', ')}`, userId: 'user123', context, tone: 'friendly', language }) }); return response.json(); } } ``` ## 🚀 Best Practices ### 1. Language Handling - **Always specify language**: Include user's language preference in every request - **Cultural context**: Ensure responses are culturally appropriate - **Consistent communication**: Maintain language consistency throughout conversations ### 2. Context Management - **Rich context**: Provide detailed context for better response generation - **Conversation flow**: Include conversation history and current state - **User preferences**: Consider user's communication style and preferences ### 3. Tone Selection - **Appropriate tone**: Choose tone that matches conversation context - **User comfort**: Consider user's comfort level with different tones - **Cultural sensitivity**: Adapt tone based on cultural context ### 4. Response Quality - **Natural flow**: Ensure responses feel natural and conversational - **Engagement**: Generate responses that encourage continued conversation - **Personalization**: Tailor responses to specific user interests and context ## ⚠️ Error Handling ### Common Errors | Error Code | Description | Solution | |------------|-------------|----------| | `invalid_message` | Message text too short or missing | Ensure message is at least 5 characters | | `missing_context` | No context provided | Include relevant conversation context | | `invalid_tone` | Unsupported tone value | Use supported tones: friendly, casual, flirty, etc. | | `invalid_language` | Unsupported language code | Use supported language codes (en, es, fr, etc.) | ### Error Response Example ```json { "success": false, "error": { "code": "missing_context", "message": "Conversation context is required", "details": "Please provide relevant context for better response generation", "language": "en" }, "timestamp": "2025-01-15T10:30:00Z" } ``` ## 📈 Rate Limits - **Standard Plan**: 100 requests/hour - **Premium Plan**: 500 requests/hour - **Enterprise Plan**: 2000 requests/hour ## 🔮 Advanced Features ### Context-Aware Responses - **Conversation history**: Considers previous messages and context - **User preferences**: Learns from user's communication style - **Relationship stage**: Adapts responses based on relationship development ### Intelligent Suggestions - **Dynamic suggestions**: Generates contextually relevant conversation starters - **Tone adaptation**: Adjusts suggestions based on conversation mood - **Cultural awareness**: Provides culturally appropriate suggestions ### Quality Assurance - **Response validation**: Ensures responses meet quality standards - **Fallback mechanisms**: Provides alternative responses when needed - **Continuous learning**: Improves response quality based on user feedback ## 🎯 Use Cases ### Dating Apps - **Conversation starters**: Generate engaging opening messages - **Response assistance**: Help users craft better replies - **Tone guidance**: Suggest appropriate communication styles ### Customer Support - **Chatbot responses**: Generate natural customer service replies - **Tone management**: Maintain consistent brand voice - **Context awareness**: Provide relevant support information ### Social Networking - **Friend conversations**: Generate friendly, engaging responses - **Group discussions**: Provide contextually appropriate contributions - **Professional networking**: Generate professional communication ## 🌟 Conversation Examples ### First Message Context ```json { "message": "Hi! I noticed we both love hiking", "context": ["dating", "first_message", "shared_interest"], "tone": "friendly", "language": "en" } ``` ### Follow-up Conversation ```json { "message": "That sounds amazing! Where was your favorite hike?", "context": ["dating", "conversation", "travel", "outdoors"], "tone": "curious", "language": "es" } ``` ### Flirty Interaction ```json { "message": "You have such a beautiful smile in your photos", "context": ["dating", "flirting", "compliment"], "tone": "flirty", "language": "fr" } ``` --- **Previous**: [Match Prediction Agent](/api-reference/ai-agents/match-prediction) | **Next**: [Experience Pricing Agent](/api-reference/ai-agents/experience-pricing)