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Client events for the Realtime API
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Client events for the Qwen-Omni-Realtime API.
See Qwen-Omni-Realtime .
session.update
After establishing a WebSocket connection, send this event first to update the default session configurations. The server validates the parameters upon receiving the session.update event. If the parameters are invalid, the server returns an error. If valid, the server applies the configuration and returns the complete updated configuration.
typestring (required) The event type. The value must be session.update. | json { "event_id": "event_ToPZqeobitzUJnt3QqtWg", "type": "session.update", "session": { "modalities": [ "text", "audio" ], "voice": "Chelsie", "input_audio_format": "pcm", "output_audio_format": "pcm", "instructions": "You are an AI customer service specialist for a five-star hotel. Accurately and friendly answer customer inquiries about room types, facilities, prices, and booking policies. Always respond with a professional and helpful attitude. Do not provide unverified information or information outside the scope of hotel services.", "turn_detection": { "type": "server_vad", "threshold": 0.5, "silence_duration_ms": 800 }, "enable_search": true, "search_options": { "enable_source": true }, "tools": [ { "type": "function", "function": { "name": "get_current_weather", "description": "Useful for querying the weather in a specific city.", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city or district, such as Beijing, Hangzhou, or Yuhang District." } }, "required": ["location"] } } } ], "seed": 1314, "max_tokens": 16384, "repetition_penalty": 1.05, "presence_penalty": 0.0, "top_k": 50, "top_p": 1.0, "temperature": 0.9 } } |
sessionobject(optional) The session configuration. Properties modalitiesarray(optional) The model output modalities. Valid values: - ["text"] Text only. - ["text","audio"] (default) Text and audio. voicestring(optional) The voice for the model's audio output. For supported voices, see Voice list. Default voices: - Qwen3.5-Omni-Realtime series: Tina - Qwen3-Omni-Flash-Realtime: Cherry - Qwen-Omni-Turbo-Realtime: Chelsie input_audio_formatstring(optional) The format of the user's input audio. Currently only supports pcm. The input audio must be a PCM audio stream at a 16 kHz sample rate. output_audio_formatstring(optional) The format of the model's output audio. Currently only supports pcm. The output audio is a PCM audio stream at a 24 kHz sample rate. smooth_output`boolean | null(optional) **Applies to Qwen3-Omni-Flash-Realtime series models only.** Whether to enable a colloquial response style. Valid values: - true(default): Colloquial responses. -false: Formal, written responses. > Content that is difficult to read aloud may not perform well. - null: The model automatically selects between colloquial and formal style. **instructions**string(optional) The system message that sets the model's role or objective. **turn\_detection**object(optional) The Voice Activity Detection (VAD) configuration. Set to null to disable VAD and trigger model responses manually. If omitted, VAD is enabled with default parameters. **Properties** **type**string(optional) The VAD type. Valid values: - server_vad(default): Detects end of speech based on acoustic features. -semantic_vad: Detects end of speech based on semantic validity, filtering out backchannels and background noise. Supported only by the qwen3.5-omni-realtime model. **threshold**float(optional) The VAD sensitivity. A lower value makes VAD more sensitive—more likely to detect faint sounds as speech, including background noise. A higher value requires clearer and louder speech to trigger. Valid range: [-1.0, 1.0]. Default: 0.5. **silence\_duration\_ms**integer(optional) The minimum silence duration after speech ends, in milliseconds. When exceeded, the model generates a response. A lower value speeds up responses but may cause false triggers during brief pauses. Default: 800. Valid range: \[200, 6000\]. **idle\_timeout\_ms**integer(optional) **Applies only to qwen3.5-omni-plus-realtimeandqwen3.5-omni-flash-realtimemodels inserver_vadmode.** The idle timeout in milliseconds. After the server finishes audio playback and the user remains silent beyond this duration (nospeech.started triggered), the model proactively generates a response to prompt the user to continue the conversation based on the current context. The timeout starts after the last model response audio finishes playing. Valid range: \[5000, 30000\]. **enable\_search**boolean(optional) **Applies to the Qwen3.5-Omni-Realtime model only.** Whether to enable web search. Default: false. When enabled, the model decides autonomously whether to search to answer real-time questions. > tools and enable\_search are incompatible. Do not enable both at the same time. **search\_options**object(optional) Web search configuration. Takes effect only when enable_search is enabled. **Properties** **enable\_source**boolean(optional) Whether to return the list of search result sources. Set to true to enable. **tools**array(optional) A list of tool definitions. When provided, the model decides whether to call a tool based on user input. **Properties** **type**string(required) The value must befunction. **function.name**string(required) The tool function name, matching the actual function name, such asget_current_weatherorget_current_time. **function.description**string (optional) A description of what the tool does. The model uses this to decide whether to call it. **function.parameters**object (optional) A description of the tool's input parameters. The model uses this to extract parameter values from user input. Omit this field if the tool takes no input. **Properties** **type**string(required) The value must beobject. **properties**object(optional) Describes each input parameter by name, data type, and description. The key is the parameter name; the value is an object withtypeanddescription. **required**array` (optional) Lists which input parameters are required. |
temperaturefloat(optional) The sampling temperature, controlling output diversity. A higher value produces more varied content; a lower value produces more deterministic output. Valid range: [0, 2). Because temperature and top_p both control diversity, set only one. Default values: - qwen3.5-omni-realtime series: 0.7 - qwen3-omni-flash-realtime series: 0.9 - qwen-omni-turbo-realtime series: 1.0 > qwen-omni-turbo models do not support modification. | \ |
top_pfloat(optional) The nucleus sampling probability threshold, controlling output diversity. A higher value produces more varied content; a lower value produces more deterministic output. Valid range: (0, 1.0]. Because temperature and top_p both control diversity, set only one. Default values: - qwen3.5-omni-realtime series: 0.8 - qwen3-omni-flash-realtime series: 1.0 - qwen-omni-turbo-realtime series: 0.01 > qwen-omni-turbo models do not support modification. | |
top_kinteger(optional) The candidate set size for sampling. For example, a value of 50 limits each generation step to the 50 highest-scoring tokens. A larger value increases randomness; a smaller value increases determinism. Set to null or a value greater than 100 to disable top_k, in which case only top_p applies. Minimum value: 0. Default values: - qwen3.5-omni-realtime series: 20 - qwen3-omni-flash-realtime series: 50 - qwen-omni-turbo-realtime series: 20 > qwen-omni-turbo models do not support modification. | |
max_tokensinteger(optional) The maximum number of tokens to return. > The max_tokens setting does not affect the model's generation process. If the generated output exceeds max_tokens, the response is truncated. The default and maximum values equal the model's maximum output length. See Model list. Use max_tokens to limit output length for tasks like summarization, keyword extraction, cost control, or latency reduction. > qwen-omni-turbo models do not support modification. | |
repetition_penaltyfloat(optional) Controls repetition in the model's output. A higher value reduces repetition; 1.0 means no penalty. Must be greater than 0. Default values: - qwen3.5-omni-realtime series: 1.0 - qwen3-omni-flash-realtime series: 1.05 - qwen-omni-turbo-realtime series: 1.05 > qwen-omni-turbo models do not support modification. | |
presence_penaltyfloat(optional) Controls content repetition in the model's output. Valid range: [-2.0, 2.0]. A positive value reduces repetition; a negative value increases it. Default values: - qwen3.5-omni-realtime series: 1.5 - qwen3-omni-flash-realtime series: 0.0 - qwen-omni-turbo-realtime series: 0.0 When to use: Higher values suit creative tasks like storytelling or brainstorming, where output diversity and interest matter. Lower values suit technical or formal content where consistency and precise terminology are required. > qwen-omni-turbo models do not support modification. | |
seedinteger(optional) Makes generation more deterministic. Pass the same seed value with unchanged parameters to get consistent results across runs. Valid range: 0 to 231−1. Default: -1. > qwen-omni-turbo models do not support modification. |
response.create
The response.create event instructs the server to generate a model response. In VAD mode, the server generates responses automatically, so this event is not needed. In tool calling scenarios, send this event after returning the tool result via conversation.item.create to trigger the final model response.
The server replies with a response.created event, followed by one or more item and content events—such as conversation.item.created and response.content_part.added—and finally a response.done event.
typestring (required) The event type. The value must be response.create. | json { "type": "response.create", "event_id": "event_1718624400000" } |
response.cancel
Send this event to cancel an ongoing response. If no response is in progress, the server returns an error.
typestring (required) The event type. The value must be response.cancel. | json { "event_id": "event_B4o9RHSTWobB5OQdEHLTo", "type": "response.cancel" } |
input_audio_buffer.append
Appends audio bytes to the input audio buffer.
typestring (required) The event type. The value must be input_audio_buffer.append. | json { "event_id": "event_B4o9RHSTWobB5OQdEHLTo", "type": "input_audio_buffer.append", "audio": "UklGR..." } |
audiostring (required) The Base64-encoded audio data. |
input_audio_buffer.commit
Commits the input audio buffer, creating a new user message item in the conversation. If the buffer is empty, the server returns an error.
VAD mode: The client does not need to send this event. The server commits the audio buffer automatically.
Manual mode: The client must commit the audio buffer to create a user message item.
Committing the buffer does not trigger a model response. The server replies with an input_audio_buffer.committed event.
If the client sent an input_image_buffer.append event, the input_audio_buffer.commit event also commits the image buffer.
typestring (required) The event type. The value must be input_audio_buffer.commit. | json { "event_id": "event_B4o9RHSTWobB5OQdEHLTo", "type": "input_audio_buffer.commit" } |
input_audio_buffer.clear
Clears audio bytes from the buffer. The server replies with an input_audio_buffer.cleared event.
typestring (required) The event type. The value must be input_audio_buffer.clear. | json { "event_id": "event_xxx", "type": "input_audio_buffer.clear" } |
input_image_buffer.append
Adds image data to the image buffer. Images can come from local files or a live video stream.
The following limits apply to image inputs:
Format: JPG or JPEG. Recommended resolution: 480p or 720p; maximum: 1080p.
A single image after Base64 encoding must not exceed 256 KB. We recommend keeping the raw image size below 190 KB before encoding.
Image data must be Base64-encoded.
Recommended send frequency: 1 image per second.
Send at least one
input_audio_buffer.appendevent before sending aninput_image_buffer.appendevent.
The image buffer is committed with the audio buffer using the input_audio_buffer.commit event.
typestring (required) The event type. The value must be input_image_buffer.append. | json { "event_id": "event_xxx", "type": "input_image_buffer.append", "image": "xxx" } |
imagestring (required) The Base64-encoded image data. |
conversation.item.create
Send this event to return a tool function's execution result to the server. After the model triggers a tool call, run the tool locally, then send the result back using this event. Follow up with a response.create event to trigger the final model response.
Note
Only items of the function_call_output type are currently supported.
typestring (required) The event type. The value must be conversation.item.create. | json { "event_id": "event_55099cddb51b4f208cb95d1a994eef80", "type": "conversation.item.create", "item": { "id": "item_2a80d7682b4e473c9c2154da135041e9", "type": "function_call_output", "call_id": "call_62c24725afdb4c2680ac54", "output": "The weather in Beijing today is changing from haze to clear, with a temperature of 4/-4°C and a light breeze." } } |
itemobject (required) The conversation item to create. Cannot be empty. Properties idstring (optional) The conversation item ID. Specify one to align with local state; otherwise the server generates one. typestring (required) The conversation item type. Currently, only function_call_output is supported. call_idstring (required) The call_id returned in the response.function_call_arguments.done event. outputstring (required) The tool function's execution result. |
Previous: Audio and video translation API referenceNext: Server events
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