> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.meetstream.ai/api-reference/ap-is/mia/llms.txt. > For full documentation content, see https://docs.meetstream.ai/api-reference/ap-is/mia/llms-full.txt. # Create Agent Config POST https://api.meetstream.ai/api/v1/mia Content-Type: application/json For more information on customizing the payload, please refer to [MIA Configurations](https://docs.meetstream.ai/guides/mia-meetstream-infrastructure-agents/mia-configurations) in our guides. Reference: https://docs.meetstream.ai/api-reference/ap-is/mia/create-agent-config ## OpenAPI Specification ```yaml openapi: 3.1.0 info: title: Meetstream API version: 1.0.0 paths: /api/v1/mia: post: operationId: create-agent-config summary: Create Agent Config description: >- For more information on customizing the payload, please refer to [MIA Configurations](https://docs.meetstream.ai/guides/mia-meetstream-infrastructure-agents/mia-configurations) in our guides. tags: - subpackage_mia parameters: - name: Authorization in: header description: 'Format: Token ' required: true schema: type: string responses: '201': description: Created content: application/json: schema: $ref: '#/components/schemas/MIACreateConfigResponse' requestBody: content: application/json: schema: $ref: '#/components/schemas/MIACreateConfigRequest' servers: - url: https://api.meetstream.ai components: schemas: MiaCreateConfigRequestMode: type: string enum: - pipeline - realtime title: MiaCreateConfigRequestMode MiaModelConfigThinkingConfig: type: object properties: include_thoughts: type: boolean thinking_budget: type: integer title: MiaModelConfigThinkingConfig MIAModelConfig: type: object properties: provider: type: string model: type: string system_prompt: type: string first_message: type: string max_token: type: integer temperature: type: number format: double voice: type: string description: Used for realtime mode models that have a built-in voice. modalities: type: array items: type: string max_response_output_tokens: type: integer max_tokens: type: integer top_p: type: number format: double frequency_penalty: type: number format: double presence_penalty: type: number format: double thinking_config: $ref: '#/components/schemas/MiaModelConfigThinkingConfig' enable_affective_dialog: type: boolean proactivity: type: boolean disable_automatic_activity_detection: type: boolean title: MIAModelConfig MIAVoiceConfig: type: object properties: provider: type: string model: type: string voice_id: type: string speed: type: number format: double title: MIAVoiceConfig MIATranscriberConfig: type: object properties: provider: type: string model: type: string language: type: string boostwords: type: array items: type: string title: MIATranscriberConfig MiaAgentConfigInterruptionMode: type: string enum: - adaptive - vad title: MiaAgentConfigInterruptionMode MIAInterruptionsConfig: type: object properties: min_duration_seconds: type: number format: double word_threshold: type: integer title: MIAInterruptionsConfig MIAAgentConfig: type: object properties: tools: type: array items: type: string preemptive_generation: type: boolean user_away_timeout: type: number format: double interruption_mode: $ref: '#/components/schemas/MiaAgentConfigInterruptionMode' interruptions: $ref: '#/components/schemas/MIAInterruptionsConfig' false_interruption_timeout: type: number format: double vad_eagerness: type: string vad_type: type: string enable_interruptions: type: boolean resume_false_interruption: type: boolean response_modality: type: string mcp_servers: type: object additionalProperties: description: Any type tools_enabled: type: boolean vad_threshold: type: number format: double vad_prefix_padding_ms: type: integer vad_silence_duration_ms: type: integer turn_detection: type: string vad_activation_threshold: type: number format: double vad_deactivation_threshold: type: - number - 'null' format: double vad_min_silence_duration_ms: type: integer vad_min_speech_duration_ms: type: integer vad_prefix_padding_duration_ms: type: integer endpointing_mode: type: string min_endpointing_delay: type: number format: double max_endpointing_delay: type: number format: double title: MIAAgentConfig MIAAudioConfig: type: object properties: sample_rate: type: integer num_channels: type: integer title: MIAAudioConfig MIAWakeWordConfig: type: object properties: enabled: type: boolean words: type: array items: type: string timeout: type: integer title: MIAWakeWordConfig MIAAvatarConfig: type: object properties: provider: type: string enabled: type: boolean avatar_id: type: string title: MIAAvatarConfig MIACreateConfigRequest: type: object properties: agent_name: type: string mode: $ref: '#/components/schemas/MiaCreateConfigRequestMode' model: $ref: '#/components/schemas/MIAModelConfig' voice: $ref: '#/components/schemas/MIAVoiceConfig' transcriber: $ref: '#/components/schemas/MIATranscriberConfig' agent: $ref: '#/components/schemas/MIAAgentConfig' audio: $ref: '#/components/schemas/MIAAudioConfig' wake_word: oneOf: - $ref: '#/components/schemas/MIAWakeWordConfig' - type: 'null' Avatar: $ref: '#/components/schemas/MIAAvatarConfig' required: - agent_name - mode - model title: MIACreateConfigRequest MiaAgentConfigObjectMode: type: string enum: - pipeline - realtime title: MiaAgentConfigObjectMode MIAAgentConfigObject: type: object properties: AgentConfigID: type: string UserID: type: string AgentName: type: string Mode: $ref: '#/components/schemas/MiaAgentConfigObjectMode' Model: $ref: '#/components/schemas/MIAModelConfig' Voice: oneOf: - $ref: '#/components/schemas/MIAVoiceConfig' - type: 'null' Transcriber: oneOf: - $ref: '#/components/schemas/MIATranscriberConfig' - type: 'null' Agent: $ref: '#/components/schemas/MIAAgentConfig' Audio: $ref: '#/components/schemas/MIAAudioConfig' Avatar: $ref: '#/components/schemas/MIAAvatarConfig' WakeWord: type: object additionalProperties: description: Any type CreatedAt: type: string UpdatedAt: type: string description: A full agent configuration object as returned by the API. title: MIAAgentConfigObject MIACreateConfigResponse: type: object properties: message: type: string agent_config_id: type: string agent_config: $ref: '#/components/schemas/MIAAgentConfigObject' title: MIACreateConfigResponse securitySchemes: TokenAuth: type: apiKey in: header name: Authorization description: 'Format: Token ' ``` ## SDK Code Examples ```python Pipeline - OpenAI + elevenlabs + OpenAI import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "MeetStream's agent", "mode": "pipeline", "model": { "provider": "openai", "model": "gpt-4o-mini", "system_prompt": "You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.", "first_message": "Hi! I'm your AI meeting assistant. How can I help you today?", "max_token": 2048, "temperature": 0.8 }, "voice": { "provider": "elevenlabs", "model": "tts-1", "voice_id": "alloy" }, "transcriber": { "provider": "openai", "model": "whisper-1", "language": "en" }, "agent": { "tools": ["current_time", "weather_now"], "preemptive_generation": True, "user_away_timeout": 15 }, "audio": { "sample_rate": 24000, "num_channels": 1 } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Pipeline - OpenAI + elevenlabs + OpenAI const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"MeetStream\'s agent","mode":"pipeline","model":{"provider":"openai","model":"gpt-4o-mini","system_prompt":"You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.","first_message":"Hi! I\'m your AI meeting assistant. How can I help you today?","max_token":2048,"temperature":0.8},"voice":{"provider":"elevenlabs","model":"tts-1","voice_id":"alloy"},"transcriber":{"provider":"openai","model":"whisper-1","language":"en"},"agent":{"tools":["current_time","weather_now"],"preemptive_generation":true,"user_away_timeout":15},"audio":{"sample_rate":24000,"num_channels":1}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Pipeline - OpenAI + elevenlabs + OpenAI package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"MeetStream's agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-4o-mini\",\n \"system_prompt\": \"You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.\",\n \"first_message\": \"Hi! I'm your AI meeting assistant. How can I help you today?\",\n \"max_token\": 2048,\n \"temperature\": 0.8\n },\n \"voice\": {\n \"provider\": \"elevenlabs\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\"\n },\n \"transcriber\": {\n \"provider\": \"openai\",\n \"model\": \"whisper-1\",\n \"language\": \"en\"\n },\n \"agent\": {\n \"tools\": [\n \"current_time\",\n \"weather_now\"\n ],\n \"preemptive_generation\": true,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Pipeline - OpenAI + elevenlabs + OpenAI require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"MeetStream's agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-4o-mini\",\n \"system_prompt\": \"You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.\",\n \"first_message\": \"Hi! I'm your AI meeting assistant. How can I help you today?\",\n \"max_token\": 2048,\n \"temperature\": 0.8\n },\n \"voice\": {\n \"provider\": \"elevenlabs\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\"\n },\n \"transcriber\": {\n \"provider\": \"openai\",\n \"model\": \"whisper-1\",\n \"language\": \"en\"\n },\n \"agent\": {\n \"tools\": [\n \"current_time\",\n \"weather_now\"\n ],\n \"preemptive_generation\": true,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}" response = http.request(request) puts response.read_body ``` ```java Pipeline - OpenAI + elevenlabs + OpenAI import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"MeetStream's agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-4o-mini\",\n \"system_prompt\": \"You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.\",\n \"first_message\": \"Hi! I'm your AI meeting assistant. How can I help you today?\",\n \"max_token\": 2048,\n \"temperature\": 0.8\n },\n \"voice\": {\n \"provider\": \"elevenlabs\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\"\n },\n \"transcriber\": {\n \"provider\": \"openai\",\n \"model\": \"whisper-1\",\n \"language\": \"en\"\n },\n \"agent\": {\n \"tools\": [\n \"current_time\",\n \"weather_now\"\n ],\n \"preemptive_generation\": true,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") .asString(); ``` ```php Pipeline - OpenAI + elevenlabs + OpenAI request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "MeetStream\'s agent", "mode": "pipeline", "model": { "provider": "openai", "model": "gpt-4o-mini", "system_prompt": "You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.", "first_message": "Hi! I\'m your AI meeting assistant. How can I help you today?", "max_token": 2048, "temperature": 0.8 }, "voice": { "provider": "elevenlabs", "model": "tts-1", "voice_id": "alloy" }, "transcriber": { "provider": "openai", "model": "whisper-1", "language": "en" }, "agent": { "tools": [ "current_time", "weather_now" ], "preemptive_generation": true, "user_away_timeout": 15 }, "audio": { "sample_rate": 24000, "num_channels": 1 } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Pipeline - OpenAI + elevenlabs + OpenAI using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"MeetStream's agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-4o-mini\",\n \"system_prompt\": \"You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.\",\n \"first_message\": \"Hi! I'm your AI meeting assistant. How can I help you today?\",\n \"max_token\": 2048,\n \"temperature\": 0.8\n },\n \"voice\": {\n \"provider\": \"elevenlabs\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\"\n },\n \"transcriber\": {\n \"provider\": \"openai\",\n \"model\": \"whisper-1\",\n \"language\": \"en\"\n },\n \"agent\": {\n \"tools\": [\n \"current_time\",\n \"weather_now\"\n ],\n \"preemptive_generation\": true,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Pipeline - OpenAI + elevenlabs + OpenAI import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "MeetStream's agent", "mode": "pipeline", "model": [ "provider": "openai", "model": "gpt-4o-mini", "system_prompt": "You are a helpful meeting assistant. Keep responses concise and friendly. Speak naturally and conversationally.", "first_message": "Hi! I'm your AI meeting assistant. How can I help you today?", "max_token": 2048, "temperature": 0.8 ], "voice": [ "provider": "elevenlabs", "model": "tts-1", "voice_id": "alloy" ], "transcriber": [ "provider": "openai", "model": "whisper-1", "language": "en" ], "agent": [ "tools": ["current_time", "weather_now"], "preemptive_generation": true, "user_away_timeout": 15 ], "audio": [ "sample_rate": 24000, "num_channels": 1 ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ```python Realtime - OpenAI import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "New MIA Agent", "mode": "realtime", "model": { "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": ["text", "audio"], "max_response_output_tokens": 200 }, "agent": { "tools": [], "preemptive_generation": False, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": True, "resume_false_interruption": True, "tools_enabled": False, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 }, "audio": { "sample_rate": 24000, "num_channels": 1 } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Realtime - OpenAI const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"New MIA Agent","mode":"realtime","model":{"provider":"openai","model":"gpt-realtime-mini","system_prompt":"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.","first_message":"Hey there! I am your AI assistant, ready to help with your meeting.","temperature":0.8,"voice":"coral","modalities":["text","audio"],"max_response_output_tokens":200},"agent":{"tools":[],"preemptive_generation":false,"user_away_timeout":15,"interruptions":{"min_duration_seconds":0.5,"word_threshold":0},"false_interruption_timeout":2,"vad_type":"server_vad","enable_interruptions":true,"resume_false_interruption":true,"tools_enabled":false,"vad_threshold":0.5,"vad_prefix_padding_ms":0,"vad_silence_duration_ms":200},"audio":{"sample_rate":24000,"num_channels":1}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Realtime - OpenAI package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Realtime - OpenAI require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}" response = http.request(request) puts response.read_body ``` ```java Realtime - OpenAI import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") .asString(); ``` ```php Realtime - OpenAI request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "New MIA Agent", "mode": "realtime", "model": { "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": [ "text", "audio" ], "max_response_output_tokens": 200 }, "agent": { "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": true, "resume_false_interruption": true, "tools_enabled": false, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 }, "audio": { "sample_rate": 24000, "num_channels": 1 } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Realtime - OpenAI using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Realtime - OpenAI import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "New MIA Agent", "mode": "realtime", "model": [ "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": ["text", "audio"], "max_response_output_tokens": 200 ], "agent": [ "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": [ "min_duration_seconds": 0.5, "word_threshold": 0 ], "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": true, "resume_false_interruption": true, "tools_enabled": false, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 ], "audio": [ "sample_rate": 24000, "num_channels": 1 ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ```python Realtime - Gemini import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "Gemini Full MIA", "mode": "realtime", "model": { "provider": "google", "model": "gemini-2.5-flash-native-audio-preview-12-2025", "system_prompt": "You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.", "temperature": 0.8, "voice": "Kore", "thinking_config": { "include_thoughts": False, "thinking_budget": 1024 }, "enable_affective_dialog": True, "proactivity": True, "disable_automatic_activity_detection": True }, "agent": { "preemptive_generation": False, "user_away_timeout": 15 }, "audio": { "sample_rate": 24000, "num_channels": 1 } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Realtime - Gemini const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"Gemini Full MIA","mode":"realtime","model":{"provider":"google","model":"gemini-2.5-flash-native-audio-preview-12-2025","system_prompt":"You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.","temperature":0.8,"voice":"Kore","thinking_config":{"include_thoughts":false,"thinking_budget":1024},"enable_affective_dialog":true,"proactivity":true,"disable_automatic_activity_detection":true},"agent":{"preemptive_generation":false,"user_away_timeout":15},"audio":{"sample_rate":24000,"num_channels":1}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Realtime - Gemini package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"Gemini Full MIA\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"google\",\n \"model\": \"gemini-2.5-flash-native-audio-preview-12-2025\",\n \"system_prompt\": \"You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.\",\n \"temperature\": 0.8,\n \"voice\": \"Kore\",\n \"thinking_config\": {\n \"include_thoughts\": false,\n \"thinking_budget\": 1024\n },\n \"enable_affective_dialog\": true,\n \"proactivity\": true,\n \"disable_automatic_activity_detection\": true\n },\n \"agent\": {\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Realtime - Gemini require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"Gemini Full MIA\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"google\",\n \"model\": \"gemini-2.5-flash-native-audio-preview-12-2025\",\n \"system_prompt\": \"You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.\",\n \"temperature\": 0.8,\n \"voice\": \"Kore\",\n \"thinking_config\": {\n \"include_thoughts\": false,\n \"thinking_budget\": 1024\n },\n \"enable_affective_dialog\": true,\n \"proactivity\": true,\n \"disable_automatic_activity_detection\": true\n },\n \"agent\": {\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}" response = http.request(request) puts response.read_body ``` ```java Realtime - Gemini import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"Gemini Full MIA\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"google\",\n \"model\": \"gemini-2.5-flash-native-audio-preview-12-2025\",\n \"system_prompt\": \"You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.\",\n \"temperature\": 0.8,\n \"voice\": \"Kore\",\n \"thinking_config\": {\n \"include_thoughts\": false,\n \"thinking_budget\": 1024\n },\n \"enable_affective_dialog\": true,\n \"proactivity\": true,\n \"disable_automatic_activity_detection\": true\n },\n \"agent\": {\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") .asString(); ``` ```php Realtime - Gemini request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "Gemini Full MIA", "mode": "realtime", "model": { "provider": "google", "model": "gemini-2.5-flash-native-audio-preview-12-2025", "system_prompt": "You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.", "temperature": 0.8, "voice": "Kore", "thinking_config": { "include_thoughts": false, "thinking_budget": 1024 }, "enable_affective_dialog": true, "proactivity": true, "disable_automatic_activity_detection": true }, "agent": { "preemptive_generation": false, "user_away_timeout": 15 }, "audio": { "sample_rate": 24000, "num_channels": 1 } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Realtime - Gemini using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"Gemini Full MIA\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"google\",\n \"model\": \"gemini-2.5-flash-native-audio-preview-12-2025\",\n \"system_prompt\": \"You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.\",\n \"temperature\": 0.8,\n \"voice\": \"Kore\",\n \"thinking_config\": {\n \"include_thoughts\": false,\n \"thinking_budget\": 1024\n },\n \"enable_affective_dialog\": true,\n \"proactivity\": true,\n \"disable_automatic_activity_detection\": true\n },\n \"agent\": {\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Realtime - Gemini import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "Gemini Full MIA", "mode": "realtime", "model": [ "provider": "google", "model": "gemini-2.5-flash-native-audio-preview-12-2025", "system_prompt": "You are an expressive, helpful AI meeting assistant with advanced capabilities. Be natural, engaging, and provide value to the conversation.", "temperature": 0.8, "voice": "Kore", "thinking_config": [ "include_thoughts": false, "thinking_budget": 1024 ], "enable_affective_dialog": true, "proactivity": true, "disable_automatic_activity_detection": true ], "agent": [ "preemptive_generation": false, "user_away_timeout": 15 ], "audio": [ "sample_rate": 24000, "num_channels": 1 ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ```python Realtime - xAI Grok import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "MIA xAI Agent", "mode": "realtime", "model": { "provider": "xai", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "voice": "Ara" }, "agent": { "tools": [], "preemptive_generation": False, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "enable_interruptions": True, "resume_false_interruption": True }, "audio": { "sample_rate": 24000, "num_channels": 1 } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Realtime - xAI Grok const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"MIA xAI Agent","mode":"realtime","model":{"provider":"xai","system_prompt":"You are a helpful AI meeting assistant. Keep responses concise and natural.","first_message":"Hey there! I am your AI assistant, ready to help with your meeting.","voice":"Ara"},"agent":{"tools":[],"preemptive_generation":false,"user_away_timeout":15,"interruptions":{"min_duration_seconds":0.5,"word_threshold":0},"false_interruption_timeout":2,"enable_interruptions":true,"resume_false_interruption":true},"audio":{"sample_rate":24000,"num_channels":1}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Realtime - xAI Grok package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"MIA xAI Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"xai\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"voice\": \"Ara\"\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Realtime - xAI Grok require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"MIA xAI Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"xai\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"voice\": \"Ara\"\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}" response = http.request(request) puts response.read_body ``` ```java Realtime - xAI Grok import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"MIA xAI Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"xai\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"voice\": \"Ara\"\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}") .asString(); ``` ```php Realtime - xAI Grok request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "MIA xAI Agent", "mode": "realtime", "model": { "provider": "xai", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "voice": "Ara" }, "agent": { "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "enable_interruptions": true, "resume_false_interruption": true }, "audio": { "sample_rate": 24000, "num_channels": 1 } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Realtime - xAI Grok using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"MIA xAI Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"xai\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"voice\": \"Ara\"\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Realtime - xAI Grok import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "MIA xAI Agent", "mode": "realtime", "model": [ "provider": "xai", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "voice": "Ara" ], "agent": [ "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": [ "min_duration_seconds": 0.5, "word_threshold": 0 ], "false_interruption_timeout": 2, "enable_interruptions": true, "resume_false_interruption": true ], "audio": [ "sample_rate": 24000, "num_channels": 1 ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ```python Pipeline - OpenAI + OpenAI + Deepgram import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "V's Pipeline Agent", "mode": "pipeline", "model": { "provider": "openai", "model": "gpt-5-nano", "system_prompt": "Hi", "first_message": "Hi", "temperature": 0.8, "max_tokens": 150, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0 }, "voice": { "provider": "openai", "model": "tts-1", "voice_id": "alloy", "speed": 1 }, "transcriber": { "provider": "deepgram", "model": "nova-2", "language": "en", "boostwords": ["hey assistant", "MeetStream", "LiveKit"] }, "agent": { "tools": [], "preemptive_generation": False, "user_away_timeout": 15, "interruption_mode": "adaptive", "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 2 }, "false_interruption_timeout": 2, "enable_interruptions": True, "resume_false_interruption": True, "turn_detection": "vad", "vad_activation_threshold": 0.5, "vad_min_silence_duration_ms": 550, "vad_min_speech_duration_ms": 50, "vad_prefix_padding_duration_ms": 300, "endpointing_mode": "fixed", "min_endpointing_delay": 0.5, "max_endpointing_delay": 3 }, "audio": { "sample_rate": 24000, "num_channels": 1 }, "wake_word": { "enabled": True, "words": ["hello"], "timeout": 30 } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Pipeline - OpenAI + OpenAI + Deepgram const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"V\'s Pipeline Agent","mode":"pipeline","model":{"provider":"openai","model":"gpt-5-nano","system_prompt":"Hi","first_message":"Hi","temperature":0.8,"max_tokens":150,"top_p":1,"frequency_penalty":0,"presence_penalty":0},"voice":{"provider":"openai","model":"tts-1","voice_id":"alloy","speed":1},"transcriber":{"provider":"deepgram","model":"nova-2","language":"en","boostwords":["hey assistant","MeetStream","LiveKit"]},"agent":{"tools":[],"preemptive_generation":false,"user_away_timeout":15,"interruption_mode":"adaptive","interruptions":{"min_duration_seconds":0.5,"word_threshold":2},"false_interruption_timeout":2,"enable_interruptions":true,"resume_false_interruption":true,"turn_detection":"vad","vad_activation_threshold":0.5,"vad_min_silence_duration_ms":550,"vad_min_speech_duration_ms":50,"vad_prefix_padding_duration_ms":300,"endpointing_mode":"fixed","min_endpointing_delay":0.5,"max_endpointing_delay":3},"audio":{"sample_rate":24000,"num_channels":1},"wake_word":{"enabled":true,"words":["hello"],"timeout":30}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Pipeline - OpenAI + OpenAI + Deepgram package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"V's Pipeline Agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-5-nano\",\n \"system_prompt\": \"Hi\",\n \"first_message\": \"Hi\",\n \"temperature\": 0.8,\n \"max_tokens\": 150,\n \"top_p\": 1,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0\n },\n \"voice\": {\n \"provider\": \"openai\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\",\n \"speed\": 1\n },\n \"transcriber\": {\n \"provider\": \"deepgram\",\n \"model\": \"nova-2\",\n \"language\": \"en\",\n \"boostwords\": [\n \"hey assistant\",\n \"MeetStream\",\n \"LiveKit\"\n ]\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruption_mode\": \"adaptive\",\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 2\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"turn_detection\": \"vad\",\n \"vad_activation_threshold\": 0.5,\n \"vad_min_silence_duration_ms\": 550,\n \"vad_min_speech_duration_ms\": 50,\n \"vad_prefix_padding_duration_ms\": 300,\n \"endpointing_mode\": \"fixed\",\n \"min_endpointing_delay\": 0.5,\n \"max_endpointing_delay\": 3\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"wake_word\": {\n \"enabled\": true,\n \"words\": [\n \"hello\"\n ],\n \"timeout\": 30\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Pipeline - OpenAI + OpenAI + Deepgram require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"V's Pipeline Agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-5-nano\",\n \"system_prompt\": \"Hi\",\n \"first_message\": \"Hi\",\n \"temperature\": 0.8,\n \"max_tokens\": 150,\n \"top_p\": 1,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0\n },\n \"voice\": {\n \"provider\": \"openai\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\",\n \"speed\": 1\n },\n \"transcriber\": {\n \"provider\": \"deepgram\",\n \"model\": \"nova-2\",\n \"language\": \"en\",\n \"boostwords\": [\n \"hey assistant\",\n \"MeetStream\",\n \"LiveKit\"\n ]\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruption_mode\": \"adaptive\",\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 2\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"turn_detection\": \"vad\",\n \"vad_activation_threshold\": 0.5,\n \"vad_min_silence_duration_ms\": 550,\n \"vad_min_speech_duration_ms\": 50,\n \"vad_prefix_padding_duration_ms\": 300,\n \"endpointing_mode\": \"fixed\",\n \"min_endpointing_delay\": 0.5,\n \"max_endpointing_delay\": 3\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"wake_word\": {\n \"enabled\": true,\n \"words\": [\n \"hello\"\n ],\n \"timeout\": 30\n }\n}" response = http.request(request) puts response.read_body ``` ```java Pipeline - OpenAI + OpenAI + Deepgram import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"V's Pipeline Agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-5-nano\",\n \"system_prompt\": \"Hi\",\n \"first_message\": \"Hi\",\n \"temperature\": 0.8,\n \"max_tokens\": 150,\n \"top_p\": 1,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0\n },\n \"voice\": {\n \"provider\": \"openai\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\",\n \"speed\": 1\n },\n \"transcriber\": {\n \"provider\": \"deepgram\",\n \"model\": \"nova-2\",\n \"language\": \"en\",\n \"boostwords\": [\n \"hey assistant\",\n \"MeetStream\",\n \"LiveKit\"\n ]\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruption_mode\": \"adaptive\",\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 2\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"turn_detection\": \"vad\",\n \"vad_activation_threshold\": 0.5,\n \"vad_min_silence_duration_ms\": 550,\n \"vad_min_speech_duration_ms\": 50,\n \"vad_prefix_padding_duration_ms\": 300,\n \"endpointing_mode\": \"fixed\",\n \"min_endpointing_delay\": 0.5,\n \"max_endpointing_delay\": 3\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"wake_word\": {\n \"enabled\": true,\n \"words\": [\n \"hello\"\n ],\n \"timeout\": 30\n }\n}") .asString(); ``` ```php Pipeline - OpenAI + OpenAI + Deepgram request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "V\'s Pipeline Agent", "mode": "pipeline", "model": { "provider": "openai", "model": "gpt-5-nano", "system_prompt": "Hi", "first_message": "Hi", "temperature": 0.8, "max_tokens": 150, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0 }, "voice": { "provider": "openai", "model": "tts-1", "voice_id": "alloy", "speed": 1 }, "transcriber": { "provider": "deepgram", "model": "nova-2", "language": "en", "boostwords": [ "hey assistant", "MeetStream", "LiveKit" ] }, "agent": { "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruption_mode": "adaptive", "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 2 }, "false_interruption_timeout": 2, "enable_interruptions": true, "resume_false_interruption": true, "turn_detection": "vad", "vad_activation_threshold": 0.5, "vad_min_silence_duration_ms": 550, "vad_min_speech_duration_ms": 50, "vad_prefix_padding_duration_ms": 300, "endpointing_mode": "fixed", "min_endpointing_delay": 0.5, "max_endpointing_delay": 3 }, "audio": { "sample_rate": 24000, "num_channels": 1 }, "wake_word": { "enabled": true, "words": [ "hello" ], "timeout": 30 } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Pipeline - OpenAI + OpenAI + Deepgram using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"V's Pipeline Agent\",\n \"mode\": \"pipeline\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-5-nano\",\n \"system_prompt\": \"Hi\",\n \"first_message\": \"Hi\",\n \"temperature\": 0.8,\n \"max_tokens\": 150,\n \"top_p\": 1,\n \"frequency_penalty\": 0,\n \"presence_penalty\": 0\n },\n \"voice\": {\n \"provider\": \"openai\",\n \"model\": \"tts-1\",\n \"voice_id\": \"alloy\",\n \"speed\": 1\n },\n \"transcriber\": {\n \"provider\": \"deepgram\",\n \"model\": \"nova-2\",\n \"language\": \"en\",\n \"boostwords\": [\n \"hey assistant\",\n \"MeetStream\",\n \"LiveKit\"\n ]\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruption_mode\": \"adaptive\",\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 2\n },\n \"false_interruption_timeout\": 2,\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"turn_detection\": \"vad\",\n \"vad_activation_threshold\": 0.5,\n \"vad_min_silence_duration_ms\": 550,\n \"vad_min_speech_duration_ms\": 50,\n \"vad_prefix_padding_duration_ms\": 300,\n \"endpointing_mode\": \"fixed\",\n \"min_endpointing_delay\": 0.5,\n \"max_endpointing_delay\": 3\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"wake_word\": {\n \"enabled\": true,\n \"words\": [\n \"hello\"\n ],\n \"timeout\": 30\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Pipeline - OpenAI + OpenAI + Deepgram import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "V's Pipeline Agent", "mode": "pipeline", "model": [ "provider": "openai", "model": "gpt-5-nano", "system_prompt": "Hi", "first_message": "Hi", "temperature": 0.8, "max_tokens": 150, "top_p": 1, "frequency_penalty": 0, "presence_penalty": 0 ], "voice": [ "provider": "openai", "model": "tts-1", "voice_id": "alloy", "speed": 1 ], "transcriber": [ "provider": "deepgram", "model": "nova-2", "language": "en", "boostwords": ["hey assistant", "MeetStream", "LiveKit"] ], "agent": [ "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruption_mode": "adaptive", "interruptions": [ "min_duration_seconds": 0.5, "word_threshold": 2 ], "false_interruption_timeout": 2, "enable_interruptions": true, "resume_false_interruption": true, "turn_detection": "vad", "vad_activation_threshold": 0.5, "vad_min_silence_duration_ms": 550, "vad_min_speech_duration_ms": 50, "vad_prefix_padding_duration_ms": 300, "endpointing_mode": "fixed", "min_endpointing_delay": 0.5, "max_endpointing_delay": 3 ], "audio": [ "sample_rate": 24000, "num_channels": 1 ], "wake_word": [ "enabled": true, "words": ["hello"], "timeout": 30 ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ```python Realtime - Avatar (Anam) import requests url = "https://api.meetstream.ai/api/v1/mia" payload = { "agent_name": "New MIA Agent", "mode": "realtime", "model": { "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": ["text", "audio"], "max_response_output_tokens": 200 }, "agent": { "tools": [], "preemptive_generation": False, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": True, "resume_false_interruption": True, "tools_enabled": False, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 }, "audio": { "sample_rate": 24000, "num_channels": 1 }, "Avatar": { "provider": "anam", "enabled": True, "avatar_id": "2644bbca-ee18-4f66-9e84-9360043c9883" } } headers = { "Authorization": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript Realtime - Avatar (Anam) const url = 'https://api.meetstream.ai/api/v1/mia'; const options = { method: 'POST', headers: {Authorization: '', 'Content-Type': 'application/json'}, body: '{"agent_name":"New MIA Agent","mode":"realtime","model":{"provider":"openai","model":"gpt-realtime-mini","system_prompt":"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.","first_message":"Hey there! I am your AI assistant, ready to help with your meeting.","temperature":0.8,"voice":"coral","modalities":["text","audio"],"max_response_output_tokens":200},"agent":{"tools":[],"preemptive_generation":false,"user_away_timeout":15,"interruptions":{"min_duration_seconds":0.5,"word_threshold":0},"false_interruption_timeout":2,"vad_type":"server_vad","enable_interruptions":true,"resume_false_interruption":true,"tools_enabled":false,"vad_threshold":0.5,"vad_prefix_padding_ms":0,"vad_silence_duration_ms":200},"audio":{"sample_rate":24000,"num_channels":1},"Avatar":{"provider":"anam","enabled":true,"avatar_id":"2644bbca-ee18-4f66-9e84-9360043c9883"}}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go Realtime - Avatar (Anam) package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.meetstream.ai/api/v1/mia" payload := strings.NewReader("{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"Avatar\": {\n \"provider\": \"anam\",\n \"enabled\": true,\n \"avatar_id\": \"2644bbca-ee18-4f66-9e84-9360043c9883\"\n }\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("Authorization", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby Realtime - Avatar (Anam) require 'uri' require 'net/http' url = URI("https://api.meetstream.ai/api/v1/mia") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"Avatar\": {\n \"provider\": \"anam\",\n \"enabled\": true,\n \"avatar_id\": \"2644bbca-ee18-4f66-9e84-9360043c9883\"\n }\n}" response = http.request(request) puts response.read_body ``` ```java Realtime - Avatar (Anam) import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.meetstream.ai/api/v1/mia") .header("Authorization", "") .header("Content-Type", "application/json") .body("{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"Avatar\": {\n \"provider\": \"anam\",\n \"enabled\": true,\n \"avatar_id\": \"2644bbca-ee18-4f66-9e84-9360043c9883\"\n }\n}") .asString(); ``` ```php Realtime - Avatar (Anam) request('POST', 'https://api.meetstream.ai/api/v1/mia', [ 'body' => '{ "agent_name": "New MIA Agent", "mode": "realtime", "model": { "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": [ "text", "audio" ], "max_response_output_tokens": 200 }, "agent": { "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": { "min_duration_seconds": 0.5, "word_threshold": 0 }, "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": true, "resume_false_interruption": true, "tools_enabled": false, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 }, "audio": { "sample_rate": 24000, "num_channels": 1 }, "Avatar": { "provider": "anam", "enabled": true, "avatar_id": "2644bbca-ee18-4f66-9e84-9360043c9883" } }', 'headers' => [ 'Authorization' => '', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Realtime - Avatar (Anam) using RestSharp; var client = new RestClient("https://api.meetstream.ai/api/v1/mia"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"agent_name\": \"New MIA Agent\",\n \"mode\": \"realtime\",\n \"model\": {\n \"provider\": \"openai\",\n \"model\": \"gpt-realtime-mini\",\n \"system_prompt\": \"You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.\",\n \"first_message\": \"Hey there! I am your AI assistant, ready to help with your meeting.\",\n \"temperature\": 0.8,\n \"voice\": \"coral\",\n \"modalities\": [\n \"text\",\n \"audio\"\n ],\n \"max_response_output_tokens\": 200\n },\n \"agent\": {\n \"tools\": [],\n \"preemptive_generation\": false,\n \"user_away_timeout\": 15,\n \"interruptions\": {\n \"min_duration_seconds\": 0.5,\n \"word_threshold\": 0\n },\n \"false_interruption_timeout\": 2,\n \"vad_type\": \"server_vad\",\n \"enable_interruptions\": true,\n \"resume_false_interruption\": true,\n \"tools_enabled\": false,\n \"vad_threshold\": 0.5,\n \"vad_prefix_padding_ms\": 0,\n \"vad_silence_duration_ms\": 200\n },\n \"audio\": {\n \"sample_rate\": 24000,\n \"num_channels\": 1\n },\n \"Avatar\": {\n \"provider\": \"anam\",\n \"enabled\": true,\n \"avatar_id\": \"2644bbca-ee18-4f66-9e84-9360043c9883\"\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Realtime - Avatar (Anam) import Foundation let headers = [ "Authorization": "", "Content-Type": "application/json" ] let parameters = [ "agent_name": "New MIA Agent", "mode": "realtime", "model": [ "provider": "openai", "model": "gpt-realtime-mini", "system_prompt": "You are a helpful AI meeting assistant. Keep responses concise and natural. Listen actively and provide value to the conversation.", "first_message": "Hey there! I am your AI assistant, ready to help with your meeting.", "temperature": 0.8, "voice": "coral", "modalities": ["text", "audio"], "max_response_output_tokens": 200 ], "agent": [ "tools": [], "preemptive_generation": false, "user_away_timeout": 15, "interruptions": [ "min_duration_seconds": 0.5, "word_threshold": 0 ], "false_interruption_timeout": 2, "vad_type": "server_vad", "enable_interruptions": true, "resume_false_interruption": true, "tools_enabled": false, "vad_threshold": 0.5, "vad_prefix_padding_ms": 0, "vad_silence_duration_ms": 200 ], "audio": [ "sample_rate": 24000, "num_channels": 1 ], "Avatar": [ "provider": "anam", "enabled": true, "avatar_id": "2644bbca-ee18-4f66-9e84-9360043c9883" ] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.meetstream.ai/api/v1/mia")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ```