o pkj)@sdZddlmZmZddlmZmZmZmZddl m Z m Z m Z ddlm Z mZmZmZddlmZmZddlmZmZddlmZd d lZd d lmZmZmZmZmZmZm Z m!Z!m"Z"Gd d d eZ#GdddZ$GdddZ%GdddeZ&GdddZ'GdddZ(d S)zACode generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.) AsyncBaseSDKBaseSDK)errorsmodelstypesutils)AfterParseErrorContext HookContextResponseContext) BaseModelOptionalNullableUNSET interactions)get_security_from_envresponse_helpers) AsyncStreamStream)unmarshal_json_responseN) AnyDictListLiteralMappingOptionalUnioncastoverloadc1@~eZdZeddZeddZeddddddeej ej fde e e e fd e e e efd e e e efd e eeejfd eejeejff d dZedddddddddddddddddddddde e dedejdejdejdee e fdejde dejde deejdeej dej!dedee"d dfd!e d"eej#d#ej$de e e e fd e e e efd e e e efd e eeejfd ejf.d$dZedddddddddddddddddddd%de e dedejdejdejdee e fdejde dejde deejdeej dej!dede"d&d!e d"eej#d#ej$de e e e fd e e e efd e e e efd e eeejfd eejf.d'dZeddddddddddddddddddddd(de e d)ej%d*ej&dedej'dejdee e fde dej(de deejdeej dej!dedee"d dfd!e d"eej#d#ej$de e e e fd e e e efd e e e efd e eeejfd ejf.d+dZedddddddddddddddddddd,de e d)ej%d*ej&dedej'dejdee e fde dej(de deejdeej dej!dede"d&d!e d"eej#d#ej$de e e e fd e e e efd e e e efd e eeejfd eejf.d-dZee)e)ddddd.de*eej ej fde*e de e e e fd e e e efd e e e efd e eeejfd/ed eejeejffd0dZe)e)ddddd.de*eej ej fde*e de e e e fd e e e efd e e e efd e eeejfd/ed eejeejffd1dZddddd2d3e de e de e e e fd e e e efd e eeejff d4d5Z+edd dddddd6d3e de e d7e ed8e e dee"d dfde e e e fd e e e efd e eeejfd ejfd9d:Z,edd ddddd;d3e de e d7e ed8e e de"d&de e e e fd e e e efd e eeejfd eejfdd:Z,ddddd2d3e de e de e e e fd e e e efd e eeejfd ejf d?d@Z-dS)A InteractionscCt|SN)InteractionsWithRawResponseselfr%]/home/djax/ivt_ai_plugin/venv/lib/python3.10/site-packages/google/genai/_gaos/interactions.pywith_raw_responsezInteractions.with_raw_responsecCr r!)!InteractionsWithStreamingResponser#r%r%r&with_streaming_response#r(z$Interactions.with_streaming_responseN extra_headers extra_query extra_bodytimeoutrequestr,r-r.r/returncCdSaCreating an interaction Creates a new interaction. :param body: The request body. :param api_version: Which version of the API to use. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param extra_body: Additional JSON object fields to merge into request bodies. :param timeout: Override the default request timeout configuration for this method in seconds Nr%r$r0r,r-r.r/r%r%r&create'zInteractions.create. api_version background environmentgeneration_configlabelsprevious_interaction_idresponse_formatresponse_mime_typeresponse_modalitiessafety_settings service_tierstorestreamsystem_instructiontoolswebhook_configr,r-r.r/r8r9r:r;inputr<modelr=r>r?r@rArBrCrDFrErFrGcCr2a#Creating an interaction Creates a new interaction. :param api_version: Which version of the API to use. :param background: Input only. Whether to run the model interaction in the background. :param environment: The environment configuration for the interaction. Can be an object specifying remote environment sources or a string referencing an existing environment ID. :param generation_config: Configuration parameters for model interactions. :param input: The input for the interaction. :param labels: The labels with user-defined metadata for the request. :param model: The model that will complete your prompt.\n\nSee [models](https://ai.google.dev/gemini-api/docs/models) for additional details. :param previous_interaction_id: The ID of the previous interaction, if any. :param response_format: Enforces that the generated response is a JSON object that complies with the JSON schema specified in this field. :param response_mime_type: The mime type of the response. This is required if response_format is set. :param response_modalities: The requested modalities of the response (TEXT, IMAGE, AUDIO). :param safety_settings: Safety settings for the interaction. :param service_tier: :param store: Input only. Whether to store the response and request for later retrieval. :param stream: Input only. Whether the interaction will be streamed. :param system_instruction: System instruction for the interaction. :param tools: A list of tool declarations the model may call during interaction. :param webhook_config: Message for configuring webhook events for a request. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param extra_body: Additional JSON object fields to merge into request bodies. :param timeout: Override the default request timeout configuration for this method in seconds Nr%r$r8r9r:r;rHr<rIr=r>r?r@rArBrCrDrErFrGr,r-r.r/r%r%r&r5?r6r8r9r:r;r<r=r>r?r@rArBrCrErFrGr,r-r.r/TcCr2rJr%rKr%r%r&r5vr6r8 agent_configr9r:r<r=r>r?r@rArBrCrDrErFrGr,r-r.r/agentrNcCr2aCreating an interaction Creates a new interaction. :param api_version: Which version of the API to use. :param agent: The agent to interact with. :param agent_config: Configuration parameters for the agent interaction. :param background: Input only. Whether to run the model interaction in the background. :param environment: The environment configuration for the interaction. Can be an object specifying remote environment sources or a string referencing an existing environment ID. :param input: The input for the interaction. :param labels: The labels with user-defined metadata for the request. :param previous_interaction_id: The ID of the previous interaction, if any. :param response_format: Enforces that the generated response is a JSON object that complies with the JSON schema specified in this field. :param response_mime_type: The mime type of the response. This is required if response_format is set. :param response_modalities: The requested modalities of the response (TEXT, IMAGE, AUDIO). :param safety_settings: Safety settings for the interaction. :param service_tier: :param store: Input only. Whether to store the response and request for later retrieval. :param stream: Input only. Whether the interaction will be streamed. :param system_instruction: System instruction for the interaction. :param tools: A list of tool declarations the model may call during interaction. :param webhook_config: Message for configuring webhook events for a request. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param extra_body: Additional JSON object fields to merge into request bodies. :param timeout: Override the default request timeout configuration for this method in seconds Nr%r$r8rOrNr9r:rHr<r=r>r?r@rArBrCrDrErFrGr,r-r.r/r%r%r&r5r6r8rNr9r:r<r=r>r?r@rArBrCrErFrGr,r-r.r/cCr2rPr%rQr%r%r&r5r6r0r8r,r-r.r/ body_kwargscKr2Creating an interaction Creates a new interaction. :param api_version: Which version of the API to use. :param background: Input only. Whether to run the model interaction in the background. :param environment: The environment configuration for the interaction. Can be an object specifying remote environment sources or a string referencing an existing environment ID. :param generation_config: Configuration parameters for model interactions. :param input: The input for the interaction. :param labels: The labels with user-defined metadata for the request. :param model: The model that will complete your prompt.\n\nSee [models](https://ai.google.dev/gemini-api/docs/models) for additional details. :param previous_interaction_id: The ID of the previous interaction, if any. :param response_format: Enforces that the generated response is a JSON object that complies with the JSON schema specified in this field. :param response_mime_type: The mime type of the response. This is required if response_format is set. :param response_modalities: The requested modalities of the response (TEXT, IMAGE, AUDIO). :param safety_settings: Safety settings for the interaction. :param service_tier: :param store: Input only. Whether to store the response and request for later retrieval. :param stream: Input only. Whether the interaction will be streamed. :param system_instruction: System instruction for the interaction. :param tools: A list of tool declarations the model may call during interaction. :param webhook_config: Message for configuring webhook events for a request. :param agent: The agent to interact with. :param agent_config: Configuration parameters for the agent interaction. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param extra_body: Additional JSON object fields to merge into request bodies. :param timeout: Override the default request timeout configuration for this method in seconds Nr%r$r0r8r,r-r.r/rTr%r%r&r5r6c sd|vr d|vr tdd|vrd|vrtdd|vr$d|vr$tdd|vr0d|vr0tdd }d } t} d } |} |} | d urGjj} | d urN| }n|| }turnttjt t rbn t tt tjn)t|}d d |D}d |i}d d |D}||d<ttjt |tjt| \}} jdwiddddd|d| ddddddddddttdd dddurdnd d!| d"|d#tjjjjd$d%jjd&fd'd(d)d d*| }| tkrjjturjj} nt jd+t d,d-d.d/dd0d1} d }t | t jr"| gd2f}fd3d4}tj|p/d5d6d tjjtjd d7gd8d9d:d;d8dd?d;d8d@dAd;dBd9dCd;dBddEd;dBd@dFd;dGd9dHd;dGddJd;dGd@dKd;dLd9dMd;dLddOd;dLd@dPd;dQd9dRd;dQddTd;dQd@dUd;dVd9dWd;dVddYd;dVd@dZd;d[d9d\d;d[dd^d;d[d@d_d;d`d9dad;d`ddcd;d`d@ddd;ded9dfd;deddhd;ded@did;it|djdkdl}j ||dmd(ttdd dddup3|dnk|do}|dpkrt !dqdrg|j"rr|#z||Wn!t$yq}zt%jj&dst'|||WYd }~nd }~ww|dnkrztj(ntj)}tt |||ttdd dddurdtndut'|jj&*dsdvSz||WSt$y}zt%jj&dst'|||WYd }~d Sd }~ww)xrVr;rO3Cannot supply both 'generation_config' and 'agent'.rN:Cannot supply both 'generation_config' and 'agent_config'.rI'Cannot supply both 'model' and 'agent'..Cannot supply both 'model' and 'agent_config'.NcSi|] \}}|tur||qSr%r .0kvr%r%r& z'Interactions.create..r8cSr\r%r]r^r%r%r&rbbodymethodPOSTpath/{api_version}/interactionsbase_url url_variablesr0request_body_requiredTrequest_has_path_paramsrequest_has_query_paramsuser_agent_header user-agentaccept_header_valuerDFtext/event-streamapplication/json http_headersextra_query_params_globalsr8securityget_serialized_bodyctjjdddtjdSNFjson)r.rserialize_request_bodyrerCreateInteractionRequestBodyr%r.r0r%r&z%Interactions.create..allow_empty_value timeout_msattempt-count-backoff@0u max_retries4084094295XXc ,d}tddrt}ttj|ddStddr*tfdddd Std drZt}zttj|}t ||tj yY}zt d ||d}~wwtd drt}zttj |}t ||tj y}zt d ||d}~wwt}t d |)N200rsFvalidaterrcttj|ddjSNFrrrInteractionSSEStreamEventdatarawhttp_resr%r&rzHInteractions.create.._speakeasy_parse_response..[DONE]sentinel client_ref4XX1Error response body did not match expected schemarUnexpected response received)rmatch_responsestream_to_textrr Interactionrr CreateInteractionClientErrorDataCreateInteractionClientErrorResponseValidationErrorGenAiDefaultError CreateInteractionServerErrorDataCreateInteractionServerErrorr response_data http_res_texter#rr&_speakeasy_parse_responsesn      z6Interactions.create.._speakeasy_parse_responseCreateInteraction x-codeSamplessimpleshcurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-3.6-flash", "input": "Hello, how are you?" }' labellangsourcepythonfrom google import genai client = genai.Client() interaction = client.interactions.create( model="gemini-3.6-flash", input="Hello, how are you?", ) print(interaction.output_text) javascriptimport {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: 'gemini-3.6-flash', input: 'Hello, how are you?', }); console.log(interaction.output_text); javawimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; Client client = new Client(); CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.of("Hello, how are you?")) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); multi_turncurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-3.6-flash", "input": [ { "type": "user_input", "content": [{ "type": "text", "text": "Hello!" }] }, { "type": "model_output", "content": [{ "type": "text", "text": "Hi there! How can I help you today?" }] }, { "type": "user_input", "content": [{ "type": "text", "text": "What is the capital of France?" }] } ] }' from google import genai client = genai.Client() response = client.interactions.create( model="gemini-3.6-flash", input=[ { "type": "user_input", "content": [{ "type": "text", "text": "Hello!" }] }, { "type": "model_output", "content": [{ "type": "text", "text": "Hi there! How can I help you today?" }] }, { "type": "user_input", "content": [{ "type": "text", "text": "What is the capital of France?" }] } ] ) print(response.output_text) import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: 'gemini-3.6-flash', input: [ { type: 'user_input', content: [{ type: 'text', text: 'Hello' }] }, { type: 'model_output', content: [{ type: 'text', text: 'Hi there! How can I help you today?' }] }, { type: 'user_input', content: [{ type: 'text', text: 'What is the capital of France?' }] } ] }); console.log(interaction.output_text); >import com.google.genai.Client; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.interactions.ModelOutputStep; import com.google.genai.gaos.models.interactions.Step; import com.google.genai.gaos.models.interactions.TextContent; import com.google.genai.gaos.models.interactions.UserInputStep; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; Client client = new Client(); List conversation = List.of( UserInputStep.builder() .content(List.of(TextContent.builder().text("Hello!").build())) .build(), ModelOutputStep.builder() .content(List.of(TextContent.builder().text("Hi there! How can I help you today?").build())) .build(), UserInputStep.builder() .content(List.of(TextContent.builder().text("What is the capital of France?").build())) .build() ); CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.ofStep(conversation)) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); multimodal_imagecurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-3.6-flash", "input": [ { "type": "text", "text": "What is in this picture?" }, { "type": "image", "data": "BASE64_ENCODED_IMAGE", "mime_type": "image/png" } ] }' 9from google import genai client = genai.Client() response = client.interactions.create( model="gemini-3.6-flash", input=[ { "type": "text", "text": "What is in this picture?" }, { "type": "image", "data": "BASE64_ENCODED_IMAGE", "mime_type": "image/png" } ] ) print(response.output_text) cimport {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: 'gemini-3.6-flash', input: [ { type: 'text', text: 'What is in this picture?' }, { type: 'image', data: 'BASE64_ENCODED_IMAGE', mime_type: 'image/png' } ] }); console.log(interaction.output_text); qimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.Content; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.ImageContent; import com.google.genai.gaos.models.interactions.ImageContentMimeType; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.interactions.TextContent; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; Client client = new Client(); List content = List.of( TextContent.builder().text("What is in this picture?").build(), ImageContent.builder() .data("BASE64_ENCODED_IMAGE") .mimeType(ImageContentMimeType.IMAGE_PNG) .build() ); CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.ofContent(content)) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); function_callingcurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-3.6-flash", "tools": [ { "type": "function", "name": "get_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" } }, "required": [ "location" ] } } ], "input": "What is the weather like in Boston, MA?" }' from google import genai client = genai.Client() response = client.interactions.create( model="gemini-3.6-flash", tools=[{ "type": "function", "name": "get_weather", "description": "Get the current weather in a given location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" } }, "required": ["location"] } }], input="What is the weather like in Boston, MA?" ) print(response.steps[-1]) import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: 'gemini-3.6-flash', tools: [{ type: 'function', name: 'get_weather', description: 'Get the current weather in a given location', parameters: { type: 'object', properties: { location: { type: 'string', description: 'The city and state, e.g. San Francisco, CA' } }, required: ['location'] } }], input: 'What is the weather like in Boston, MA?' }); console.log(interaction.steps.at(-1)); _import com.google.genai.Client; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Function; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.interactions.Step; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; import java.util.Map; Client client = new Client(); Map parameters = Map.of( "type", "object", "properties", Map.of( "location", Map.of( "type", "string", "description", "The city and state, e.g. San Francisco, CA" ) ), "required", List.of("location") ); Function functionTool = Function.builder() .name("get_weather") .description("Get the current weather in a given location") .parameters(parameters) .build(); CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .tools(List.of(functionTool)) .input(InteractionsInput.of("What is the weather like in Boston, MA?")) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); List steps = interaction.steps().orElse(List.of()); if (!steps.isEmpty()) { System.out.println(steps.get(steps.size() - 1)); } deep_researchcurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "agent": "deep-research-pro-preview-12-2025", "input": "Find a cure to cancer", "background": true }' from google import genai client = genai.Client() interaction = client.interactions.create( agent="deep-research-pro-preview-12-2025", input="find a cure to cancer", background=True, ) print(interaction.status) import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ agent: 'deep-research-pro-preview-12-2025', input: 'find a cure to cancer', background: true, }); console.log(interaction.status); Pimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.AgentOption; import com.google.genai.gaos.models.interactions.CreateAgentInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionStatus; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; Client client = new Client(); CreateAgentInteraction params = CreateAgentInteraction.builder() .agent(AgentOption.of("deep-research-pro-preview-12-2025")) .input(InteractionsInput.of("find a cure to cancer")) .background(true) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.status().map(InteractionStatus::value).orElse("")); antigravityWcurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "agent": "antigravity-preview-05-2026", "input": "Read Hacker News, summarize the top 5 stories, and save results as a markdown file.", "environment": "remote" }' !from google import genai client = genai.Client() interaction = client.interactions.create( agent="antigravity-preview-05-2026", input="Read Hacker News, summarize the top 5 stories, and save results as a markdown file.", environment="remote", ) print(interaction.output_text) Pimport {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ agent: 'antigravity-preview-05-2026', input: 'Read Hacker News, summarize the top 5 stories, and save results as a markdown file.', environment: 'remote', }); console.log(interaction.output_text); import com.google.genai.Client; import com.google.genai.gaos.models.interactions.AgentOption; import com.google.genai.gaos.models.interactions.CreateAgentInteraction; import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; Client client = new Client(); CreateAgentInteraction params = CreateAgentInteraction.builder() .agent(AgentOption.of("antigravity-preview-05-2026")) .input(InteractionsInput.of("Read Hacker News, summarize the top 5 stories, and save results as a markdown file.")) .environment(CreateAgentInteractionEnvironment.of("remote")) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); reuse_env:# Step 1: Create an interaction with a fresh remote environment. RESPONSE=$(curl -s -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -H "Api-Revision: 2026-05-20" \ -d '{ "agent": "antigravity-preview-05-2026", "input": "Write a hello world script at /workspace/hello.py.", "environment": "remote" }') INTERACTION_ID=$(echo $RESPONSE | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])") ENV_ID=$(echo $RESPONSE | python3 -c "import sys,json; print(json.load(sys.stdin)['environment_id'])") # Step 2: Reuse the same environment in a follow-up interaction. curl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d "{ \"agent\": \"antigravity-preview-05-2026\", \"input\": \"Modify the script to accept a name argument and greet the user.\", \"environment\": \"$ENV_ID\", \"previous_interaction_id\": \"$INTERACTION_ID\" }" from google import genai client = genai.Client() # Step 1: Create an interaction with a fresh remote environment. interaction = client.interactions.create( agent="antigravity-preview-05-2026", input="Write a hello world script at /workspace/hello.py.", environment="remote", ) print(f"Environment ID: {interaction.environment_id}") # Step 2: Reuse the same environment in a follow-up interaction. interaction_2 = client.interactions.create( agent="antigravity-preview-05-2026", input="Modify the script to accept a name argument and greet the user.", environment=interaction.environment_id, previous_interaction_id=interaction.id, ) print(interaction_2.output_text) import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); // Step 1: Create an interaction with a fresh remote environment. const interaction = await ai.interactions.create({ agent: 'antigravity-preview-05-2026', input: 'Write a hello world script at /workspace/hello.py.', environment: 'remote', }); console.log(`Environment ID: ${interaction.environment_id}`); // Step 2: Reuse the same environment in a follow-up interaction. const interaction2 = await ai.interactions.create({ agent: 'antigravity-preview-05-2026', input: 'Modify the script to accept a name argument and greet the user.', environment: interaction.environment_id, previous_interaction_id: interaction.id, }); console.log(interaction2.output_text); import com.google.genai.Client; import com.google.genai.gaos.models.interactions.AgentOption; import com.google.genai.gaos.models.interactions.CreateAgentInteraction; import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; Client client = new Client(); // Step 1: Create an interaction with a fresh remote environment. CreateAgentInteraction params1 = CreateAgentInteraction.builder() .agent(AgentOption.of("antigravity-preview-05-2026")) .input(InteractionsInput.of("Write a hello world script at /workspace/hello.py.")) .environment(CreateAgentInteractionEnvironment.of("remote")) .build(); CreateInteractionResponse response1 = client.interactions.create(CreateInteractionRequestBody.of(params1)); Interaction interaction1 = response1.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println("Environment ID: " + interaction1.environmentId().orElse("")); // Step 2: Reuse the same environment in a follow-up interaction. CreateAgentInteraction params2 = CreateAgentInteraction.builder() .agent(AgentOption.of("antigravity-preview-05-2026")) .input(InteractionsInput.of("Modify the script to accept a name argument and greet the user.")) .environment(CreateAgentInteractionEnvironment.of(interaction1.environmentId().orElse(""))) .previousInteractionId(interaction1.id().orElse(null)) .build(); CreateInteractionResponse response2 = client.interactions.create(CreateInteractionRequestBody.of(params2)); Interaction interaction2 = response2.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction2.outputText().orElse("")); with_sourcescurl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "agent": "antigravity-preview-05-2026", "input": "List all files under /workspace and summarize what you find.", "environment": { "type": "remote", "sources": [ { "type": "repository", "source": "https://github.com/octocat/Spoon-Knife", "target": "/workspace/repo" }, { "type": "inline", "content": "Focus on Python files only.", "target": "/workspace/notes.txt" } ] } }' from google import genai client = genai.Client() interaction = client.interactions.create( agent="antigravity-preview-05-2026", input="List all files under /workspace and summarize what you find.", environment={ "type": "remote", "sources": [ { "type": "repository", "source": "https://github.com/octocat/Spoon-Knife", "target": "/workspace/repo", }, { "type": "inline", "content": "Focus on Python files only.", "target": "/workspace/notes.txt", }, ], }, ) print(interaction.output_text) import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ agent: 'antigravity-preview-05-2026', input: 'List all files under /workspace and summarize what you find.', environment: { type: 'remote', sources: [ { type: 'repository', source: 'https://github.com/octocat/Spoon-Knife', target: '/workspace/repo', }, { type: 'inline', content: 'Focus on Python files only.', target: '/workspace/notes.txt', }, ], }, }); console.log(interaction.output_text); import com.google.genai.Client; import com.google.genai.gaos.models.interactions.AgentOption; import com.google.genai.gaos.models.interactions.CreateAgentInteraction; import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment; import com.google.genai.gaos.models.interactions.Environment; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.interactions.Source; import com.google.genai.gaos.models.interactions.SourceType; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; Client client = new Client(); Environment env = Environment.builder() .sources(List.of( Source.builder() .type(SourceType.REPOSITORY) .source("https://github.com/octocat/Spoon-Knife") .target("/workspace/repo") .build(), Source.builder() .type(SourceType.INLINE) .content("Focus on Python files only.") .target("/workspace/notes.txt") .build() )) .build(); CreateAgentInteraction params = CreateAgentInteraction.builder() .agent(AgentOption.of("antigravity-preview-05-2026")) .input(InteractionsInput.of("List all files under /workspace and summarize what you find.")) .environment(CreateAgentInteractionEnvironment.of(env)) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); custom_agent# Step 1: Create a custom agent. curl -X POST https://generativelanguage.googleapis.com/v1beta/agents \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "id": "code-reviewer", "base_agent": "antigravity-preview-05-2026", "system_instruction": "You are a senior code reviewer. Check every file for bugs, style issues, and security vulnerabilities.", "base_environment": { "type": "remote", "sources": [{ "type": "repository", "source": "https://github.com/octocat/Spoon-Knife", "target": "/workspace/repo" }] } }' # Step 2: Use the custom agent. curl -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "agent": "code-reviewer", "input": "Review the latest changes in /workspace/repo/src and file a summary.", "environment": "remote" }' kimport uuid from google import genai client = genai.Client() # Step 1: Create a custom agent. agent_id = f"code-reviewer-{uuid.uuid4().hex[:8]}" client.agents.create( id=agent_id, base_agent="antigravity-preview-05-2026", system_instruction="You are a senior code reviewer. Check every file for bugs, style issues, and security vulnerabilities.", base_environment={ "type": "remote", "sources": [{ "type": "repository", "source": "https://github.com/octocat/Spoon-Knife", "target": "/workspace/repo", }], }, ) # Step 2: Use the custom agent. result = client.interactions.create( agent=agent_id, input="Review the latest changes in /workspace/repo/src and file a summary.", environment="remote", ) print(result.output_text) # [cleanup] client.agents.delete(agent_id) # [/cleanup] import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); // Step 1: Create a custom agent. const agentId = `code-reviewer-${crypto.randomUUID().slice(0, 8)}`; await ai.agents.create({ id: agentId, base_agent: 'antigravity-preview-05-2026', system_instruction: 'You are a senior code reviewer. Check every file for bugs, style issues, and security vulnerabilities.', base_environment: { type: 'remote', sources: [{ type: 'repository', source: 'https://github.com/octocat/Spoon-Knife', target: '/workspace/repo', }], }, }); // Step 2: Use the custom agent. const result = await ai.interactions.create({ agent: agentId, input: 'Review the latest changes in /workspace/repo/src and file a summary.', environment: 'remote', }); console.log(result.output_text); // [cleanup] await ai.agents.delete(agentId); // [/cleanup] import com.google.genai.Client; import com.google.genai.gaos.models.agents.Agent; import com.google.genai.gaos.models.agents.BaseEnvironment; import com.google.genai.gaos.models.interactions.AgentOption; import com.google.genai.gaos.models.interactions.CreateAgentInteraction; import com.google.genai.gaos.models.interactions.CreateAgentInteractionEnvironment; import com.google.genai.gaos.models.interactions.Environment; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.interactions.Source; import com.google.genai.gaos.models.interactions.SourceType; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; import java.util.UUID; Client client = new Client(); // Step 1: Create a custom agent. String agentId = "code-reviewer-" + UUID.randomUUID().toString().substring(0, 8); Environment baseEnv = Environment.builder() .sources(List.of( Source.builder() .type(SourceType.REPOSITORY) .source("https://github.com/octocat/Spoon-Knife") .target("/workspace/repo") .build() )) .build(); Agent customAgent = Agent.builder() .id(agentId) .baseAgent("antigravity-preview-05-2026") .systemInstruction("You are a senior code reviewer. Check every file for bugs, style issues, and security vulnerabilities.") .baseEnvironment(BaseEnvironment.of(baseEnv)) .build(); client.agents.create(customAgent); // Step 2: Use the custom agent. CreateAgentInteraction params = CreateAgentInteraction.builder() .agent(AgentOption.of(agentId)) .input(InteractionsInput.of("Review the latest changes in /workspace/repo/src and file a summary.")) .environment(CreateAgentInteractionEnvironment.of("remote")) .build(); CreateInteractionResponse response = client.interactions.create(CreateInteractionRequestBody.of(params)); Interaction interaction = response.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.outputText().orElse("")); // [cleanup] client.agents.delete(agentId); // [/cleanup] syncmode executionconfigrj operation_id oauth2_scopessecurity_sourcetags extensionsresponsecStddg|SNrrrmatch_status_codescr%r%r&r streaminghook_ctxr0is_error_status_coderD retry_configparsedrr_hooks event_streambufferedrparserrrrhooksr%)+ ValueErrorr _coerce_timeout_mssdk_configurationr_get_urlrrCreateInteractionRequest isinstancer r unmarshalrdictitemsrconsume_response_mode_build_requestgetattrCreateInteractionGlobalsglobalsr8rxr RetryConfigBackoffStrategyr rrSecurityr do_requestr status_coderead Exceptionraise_parse_error__dict__rStreamedAPIResponse APIResponsegetr$r0r8r,r-r.r/rTrjrkretries server_urlrtr _body_kwargs_request_kwargs_speakeasy_response_modereqrr_speakeasy_hook_ctxr parse_exc__speakeasy_response_clsr%r.r0r$r&r5Gs*             7   %*/49>CHMRW\afkpuz #(-2 9D       r8r,r-r/idcCd}d}t}d} |} ||} | dur|jj} | dur| }n|||}tj||d} t| \} } |j d>iddddd|d|d | d d d d dd ddddd| d|dtj |jj j dd|jj ddd| }|tkr|jjtur|jj}ntjdtddddd dd }d}t|tjr|gd!f}d"d#}t|j|pd$d%dt|jj tjdd&d'd(d)d*d'd+d,d*d'd-d.d*d'd/d0d*git| d1d2d3}|j||d4d5| d6k|d7}| d8kr8td9d:g|jr|z||Wn!ty}zt|jjd;t|||WYd}~nd}~ww| d6kr!tj ntj!}t"t#|||d<|t||jj$d;d=Sz||WSty_}zt|jjd;t|||WYd}~dSd}~ww)?Deleting an interaction Deletes the interaction by id. :param id: The unique identifier of the interaction to delete. :param api_version: Which version of the API to use. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param timeout: Override the default request timeout configuration for this method in seconds Nr8r2rfDELETErh /{api_version}/interactions/{id}rjrkr0rlFrmTrnrorprqrsrtrurvrwrxrrrrrrrrrrc Ssd}t|ddr dSt|ddr5z ttj|}t||tjy4}z td||j|d}~wwt|ddr_z ttj |}t ||tjy^}z td||j|d}~wwtd|Nr*rrsrrr rrrr DeleteInteractionClientErrorDataDeleteInteractionClientErrorrrtext DeleteInteractionServerErrorDataDeleteInteractionServerErrorrrrr%r%r&rJsH   z6Interactions.delete.._speakeasy_parse_responserdeleteInteractionrdeleter# [setup] INTERACTION_ID=$(curl -s -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model": "gemini-3.6-flash", "input": "Hello"}' \ | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])") # [/setup] curl -X DELETE "https://generativelanguage.googleapis.com/v1beta/interactions/$INTERACTION_ID" \ -H "x-goog-api-key: $GEMINI_API_KEY" rrfrom google import genai client = genai.Client() # [setup] created = client.interactions.create( model="gemini-3.6-flash", input="Hello", ) # [/setup] client.interactions.delete(id=created.id) print("Interaction deleted successfully.") r'import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); // [setup] const created = await ai.interactions.create({ model: 'gemini-3.6-flash', input: 'Hello', }); // [/setup] await ai.interactions.delete(created.id); console.log('Interaction deleted successfully.'); rimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; Client client = new Client(); // [setup] CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.of("Hello")) .build(); CreateInteractionResponse created = client.interactions.create(CreateInteractionRequestBody.of(params)); String interactionId = created.interaction().flatMap(Interaction::id).orElseThrow(); // [/setup] client.interactions.delete(interactionId); System.out.println("Interaction deleted successfully."); rrrcSrrrrr%r%r&rrz%Interactions.delete..rrrrrrrr r%)%r r rrrrDeleteInteractionRequestrrrDeleteInteractionGlobalsrr8rxrrrrrr rrrr rrrrr r!r"rr#r$rrr%r$r2r8r,r-r/rjrkr'r(rtrr0r+r,rrr-rr.r/r%r%r&rBs              #       zInteractions.deleter8 include_input last_event_idrDr,r-r/rKrLc Cr2iRetrieving an interaction Retrieves the full details of a single interaction based on its `Interaction.id`. :param id: The unique identifier of the interaction to retrieve. :param api_version: Which version of the API to use. :param include_input: If set to true, includes the input in the response. :param last_event_id: Optional. If set, resumes the interaction stream from the next chunk after the event marked by the event id. Can only be used if `stream` is true. :param stream: If set to true, the generated content will be streamed incrementally. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param timeout: Override the default request timeout configuration for this method in seconds Nr% r$r2r8rKrLrDr,r-r/r%r%r&r%r6zInteractions.getr8rKrLr,r-r/c Cr2rMr%rOr%r%r&r%r6c Cr2rMr%rOr%r%r&r%r6csd} d} t} d} |} |}|durjj}| dur| } n| | } tj|||||d}t| \}} j d@iddddd| d| d |d d d d dd ddd|d ur[dndd| d|dtj jj j ddjj ddd|}| tkrjjturjj} ntjdtddddd d d!} d}t| tjr| gd"f}fd#d$}tj| pd%d&dtjj tjdd'd(d)d*d+d(d,d-d+d(d.d/d+d(d0d1d+git|d2d3d4}j||d5d6|d up|d7k|d8}|d9krNtd:d;g|jr(|z||Wn!ty'}ztjjd<t|||WYd}~nd}~ww|d7kr0tj ntj!}t"t#||||d ur?d=nd>t|jj$d<d?Sz||WStyu}ztjjd<t|||WYd}~dSd}~ww)ArNNr8r2rKrLrDrfGETrhr7rjrkr0rlFrmTrnrorprqrrrsrtrurvrwrxrrrrrrrrrrc r)NrrsFrrrcrrrrrr%r&rlrzEInteractions.get.._speakeasy_parse_response..rrrrrr)rrrrrrrr!GetInteractionByIDClientErrorDataGetInteractionByIDClientErrorrr!GetInteractionByIDServerErrorDataGetInteractionByIDServerErrorrr#rr&rbsv      z3Interactions.get.._speakeasy_parse_responsergetInteractionByIdrr%r# [setup] INTERACTION_ID=$(curl -s -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -H "Api-Revision: 2026-05-20" \ -d '{"model": "gemini-3.6-flash", "input": "Say hello."}' \ | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])") # [/setup] curl -X GET "https://generativelanguage.googleapis.com/v1beta/interactions/$INTERACTION_ID" \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Api-Revision: 2026-05-20" rrfrom google import genai client = genai.Client() # [setup] created = client.interactions.create( model="gemini-3.6-flash", input="Say hello." ) # [/setup] interaction = client.interactions.get(id=created.id) print(interaction.status) r+import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); // [setup] const created = await ai.interactions.create({ model: 'gemini-3.6-flash', input: 'Say hello.' }); // [/setup] const interaction = await ai.interactions.get(created.id); console.log(interaction.status); rEimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionStatus; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import com.google.genai.gaos.models.operations.GetInteractionByIdRequest; import com.google.genai.gaos.models.operations.GetInteractionByIdResponse; Client client = new Client(); // [setup] CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.of("Say hello.")) .build(); CreateInteractionResponse created = client.interactions.create(CreateInteractionRequestBody.of(params)); String interactionId = created.interaction().flatMap(Interaction::id).orElseThrow(); // [/setup] GetInteractionByIdResponse getResponse = client.interactions.get(new GetInteractionByIdRequest(interactionId)); Interaction interaction = getResponse.interaction().orElseThrow(() -> new RuntimeException("No interaction returned")); System.out.println(interaction.status().map(InteractionStatus::value).orElse("")); rrrcSrrrrr%r%r&rrz"Interactions.get..rrrrrrrrr r%)%r r rrrrGetInteractionByIDRequestrrrGetInteractionByIDGlobalsrr8rxrrrrrr rrrr rrrrr r!r"rr#r$rrr%r$r2r8rKrLrDr,r-r/rjrkr'r(rtrr0r+r,rrr-rr.r/r%r#r&r% s*           ;  #       cCr3)?Canceling an interaction Cancels an interaction by id. This only applies to background interactions that are still running. :param id: The unique identifier of the interaction to cancel. :param api_version: Which version of the API to use. :param extra_headers: Additional headers to set or replace on requests. :param extra_query: Additional query parameters to append to requests. :param timeout: Override the default request timeout configuration for this method in seconds Nr5rfrgrh'/{api_version}/interactions/{id}/cancelrjrkr0rlFrmTrnrorprqrsrtrurvrwrxrrrrrrrrrrc Ssd}t|ddrttj|ddSt|ddr;z ttj|}t||tjy:}z t d||j |d}~wwt|ddrez ttj |}t ||tjyd}z t d||j |d}~wwt d| NrrsFrrrrr rrrrrr$CancelInteractionByIDClientErrorData CancelInteractionByIDClientErrorrrr=$CancelInteractionByIDServerErrorData CancelInteractionByIDServerErrorr@r%r%r&r:sT z6Interactions.cancel.._speakeasy_parse_responsercancelInteractionByIdrcancelr# [setup] INTERACTION_ID=$(curl -s -X POST https://generativelanguage.googleapis.com/v1beta/interactions \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model": "gemini-3.6-flash", "input": "Write a long essay about the history of computing.", "background": true}' \ | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])") # [/setup] curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions/$INTERACTION_ID/cancel" \ -H "x-goog-api-key: $GEMINI_API_KEY" rrfrom google import genai client = genai.Client() # Start a background interaction so it stays in-progress. created = client.interactions.create( model="gemini-3.6-flash", input="Write a long essay about the history of computing.", tools=[{"type": "computer_use"}], background=True, ) # Cancel the in-progress interaction. interaction = client.interactions.cancel(id=created.id) print(interaction.status) rimport {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI({}); // Start a background interaction so it stays in-progress. const created = await ai.interactions.create({ model: 'gemini-3.6-flash', input: 'Write a long essay about the history of computing.', tools: [{ type: 'computer_use' }], background: true, }); // Cancel the in-progress interaction. const interaction = await ai.interactions.cancel(created.id); console.log(interaction.status); rimport com.google.genai.Client; import com.google.genai.gaos.models.interactions.ComputerUse; import com.google.genai.gaos.models.interactions.CreateModelInteraction; import com.google.genai.gaos.models.interactions.Interaction; import com.google.genai.gaos.models.interactions.InteractionStatus; import com.google.genai.gaos.models.interactions.InteractionsInput; import com.google.genai.gaos.models.operations.CancelInteractionByIdResponse; import com.google.genai.gaos.models.operations.CreateInteractionRequestBody; import com.google.genai.gaos.models.operations.CreateInteractionResponse; import java.util.List; Client client = new Client(); // Start a background interaction so it stays in-progress. CreateModelInteraction params = CreateModelInteraction.builder() .model("gemini-3.6-flash") .input(InteractionsInput.of("Write a long essay about the history of computing.")) .tools(List.of(new ComputerUse())) .background(true) .build(); CreateInteractionResponse created = client.interactions.create(CreateInteractionRequestBody.of(params)); String interactionId = created.interaction().flatMap(Interaction::id).orElseThrow(); // Cancel the in-progress interaction. 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