# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand. overlay: 1.0.0 info: title: API Evangelist conversational phrasing for Edge Impulse Jobs API version: 1.0.0 extends: openapi/edge-impulse-jobs-api-openapi.yml actions: - target: $.info update: x-apievangelist-phrasing: method: generated generated: '2026-10-01' generator: build-phrasing.py label: Generated by API Evangelist operations: 44 - target: $.paths['/api/{projectId}/jobs/post-processing'].post update: x-apievangelist-phrasing: intent: Start a post-processing tuning job effect: write questions: - How do I tune the post-processing of my model's output with a search algorithm? - Can I limit how many generations a post-processing search runs for? instructions: - text: Start post-processing in project {projectId} for variant {variant} on dataset {dataset} with algorithm {algorithm} and evaluation {evaluation}. slots: projectId: path.projectId variant: requestBody.variant dataset: requestBody.dataset algorithm: requestBody.algorithm evaluation: requestBody.evaluation - text: Run post-processing tuning on {dataset} with {algorithm}, capped at {maxGenerations} generations. slots: dataset: requestBody.dataset algorithm: requestBody.algorithm maxGenerations: requestBody.maxGenerations method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/data-explorer-features'].post update: x-apievangelist-phrasing: intent: Generate features for the data explorer effect: write questions: - How do I populate the data explorer so I can see my samples clustered visually? - What job builds the features behind the data explorer view? instructions: - text: Generate data explorer features for project {projectId}. slots: projectId: path.projectId - text: Build the data explorer visualization for project {projectId}. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/data-quality-metrics'].post update: x-apievangelist-phrasing: intent: Calculate data quality metrics for a dataset effect: write questions: - Is there a staff-only job that scores the quality of a project's dataset? - Can data quality metrics be computed on a particular data representation? instructions: - text: Calculate data quality metrics for project {projectId}. slots: projectId: path.projectId - text: Compute dataset quality metrics for project {projectId} using representation {representation}. slots: projectId: path.projectId representation: requestBody.representation method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/retry-migrate-impulse'].post update: x-apievangelist-phrasing: intent: Retry a failed impulse migration effect: write questions: - My multi-impulse migration failed — how do I try it again? - Can I rerun an impulse migration job that errored out? instructions: - text: Retry the impulse migration for project {projectId}. slots: projectId: path.projectId - text: Kick off the failed impulse migration again in project {projectId}. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/synthetic-data'].post update: x-apievangelist-phrasing: intent: Generate synthetic training data effect: write questions: - How do I generate synthetic samples to grow a small dataset? - Which transformation block produces synthetic data, and what parameters does it take? instructions: - text: Generate synthetic data in project {projectId} with transformation block {transformationBlockId} and parameters {parameters}. slots: projectId: path.projectId transformationBlockId: requestBody.transformationBlockId parameters: requestBody.parameters - text: Create synthetic samples using block {transformationBlockId}. slots: transformationBlockId: requestBody.transformationBlockId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/ai-actions/{actionId}/preview'].post update: x-apievangelist-phrasing: intent: Dry-run an AI Action on sample data effect: write questions: - Can I preview what an AI Action would change on a few samples before applying it? - How do I see proposed label changes from an AI Action without touching my dataset? instructions: - text: 'Preview AI Action {actionId} in project {projectId} on samples {sampleIds} with steps {steps}, caching unchanged steps: {cacheUnchangedSteps}.' slots: actionId: path.actionId projectId: path.projectId sampleIds: requestBody.sampleIds steps: requestBody.steps cacheUnchangedSteps: requestBody.cacheUnchangedSteps - text: Do a dry run of AI Action {actionId} on samples {sampleIds} and only propose changes. slots: actionId: path.actionId sampleIds: requestBody.sampleIds method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/ai-actions/{actionId}'].post update: x-apievangelist-phrasing: intent: Run an AI Action and apply its changes effect: write questions: - How do I run an AI Action so it actually updates my dataset? - Does running an AI Action apply changes directly rather than proposing them? instructions: - text: Run AI Action {actionId} in project {projectId} and apply the changes. slots: actionId: path.actionId projectId: path.projectId - text: Execute AI Action {actionId} for real on my data. slots: actionId: path.actionId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/optimize'].post update: x-apievangelist-phrasing: intent: Run the EON Tuner to find the best model effect: write questions: - How do I let the EON Tuner search for the optimal model architecture for my data? - Can I continue a previous tuner run instead of starting fresh? instructions: - text: Start the EON Tuner on project {projectId}. slots: projectId: path.projectId - text: Continue optimizing project {projectId} from tuner job {continuationJobId}. slots: projectId: path.projectId continuationJobId: query.continuationJobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/set-tuner-primary-job'].post update: x-apievangelist-phrasing: intent: Make an EON Tuner trial the primary model effect: write questions: - How do I pick one EON Tuner result as the model my project uses? - Can I name the impulse when promoting a tuner trial to primary? instructions: - text: Set EON Tuner trial {trialId} as the primary model for project {projectId}. slots: trialId: query.trialId projectId: path.projectId - text: Promote tuner trial {trialId} to primary and call it {name}. slots: trialId: query.trialId name: requestBody.name method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs'].get update: x-apievangelist-phrasing: intent: List jobs currently running in a project effect: read questions: - What jobs are running right now in my Edge Impulse project? - Can I see only top-level running jobs and hide their child jobs? instructions: - text: List the active jobs in project {projectId}. slots: projectId: path.projectId - text: Show only running root jobs in project {projectId}. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/history'].get update: x-apievangelist-phrasing: intent: List completed jobs in a project effect: read questions: - Which jobs finished in my project last week? - How do I page through a project's job history between two dates? instructions: - text: List finished jobs in project {projectId}. slots: projectId: path.projectId - text: Show jobs that completed in project {projectId} between {startDate} and {endDate}. slots: projectId: path.projectId startDate: query.startDate endDate: query.endDate method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/all'].get update: x-apievangelist-phrasing: intent: List all jobs, running and finished effect: read questions: - Can I get running and finished jobs together in one list? - Is it possible to filter a project's jobs by category or job key? instructions: - text: List every job, active or finished, in project {projectId}. slots: projectId: path.projectId - text: Show all jobs in project {projectId} in category {category}. slots: projectId: path.projectId category: query.category method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/summary'].get update: x-apievangelist-phrasing: intent: Summarize compute used by jobs over a period effect: read questions: - How much compute time did my project's jobs use this month? - Can I see job usage grouped by type for a date range? instructions: - text: Summarize job compute usage in project {projectId} from {startDate} to {endDate}. slots: projectId: path.projectId startDate: query.startDate endDate: query.endDate - text: Give me a per-job-type compute total for project {projectId} between {startDate} and {endDate}. slots: projectId: path.projectId startDate: query.startDate endDate: query.endDate method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/impulse-migration/status'].get update: x-apievangelist-phrasing: intent: Check the status of an impulse migration effect: read questions: - Has the multi-impulse migration for my project finished? - Can visitors to a public project see whether its impulse migration is done? instructions: - text: Check the impulse migration status of project {projectId}. slots: projectId: path.projectId - text: Tell me whether project {projectId} has finished migrating to multiple impulses. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/impulse-migration/stdout'].get update: x-apievangelist-phrasing: intent: Read the logs of an impulse migration effect: read questions: - Where can I read the output of the multi-impulse migration to see why it failed? - Can I filter impulse migration logs by log level? instructions: - text: Show the impulse migration logs for project {projectId}. slots: projectId: path.projectId - text: Get the last {limit} impulse migration log lines at level {logLevel}. slots: limit: query.limit logLevel: query.logLevel method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/{jobId}/update'].post update: x-apievangelist-phrasing: intent: Change who is notified when a job finishes effect: write questions: - How do I get notified when a long-running job completes? - Can I add teammates to the notification list of a running job? instructions: - text: Notify users {jobNotificationUids} when job {jobId} in project {projectId} finishes. slots: jobNotificationUids: requestBody.jobNotificationUids jobId: path.jobId projectId: path.projectId - text: Update job {jobId} to send its completion notice to {jobNotificationUids}. slots: jobId: path.jobId jobNotificationUids: requestBody.jobNotificationUids method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/{jobId}/status'].get update: x-apievangelist-phrasing: intent: Get the status of a job effect: read questions: - Is my training job still running or has it finished? - Did a specific job succeed or fail? instructions: - text: Get the status of job {jobId} in project {projectId}. slots: jobId: path.jobId projectId: path.projectId - text: Tell me if job {jobId} has completed successfully. slots: jobId: path.jobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/{jobId}/stdout'].get update: x-apievangelist-phrasing: intent: Read a job's log output effect: read questions: - How can I see the console output of a job while it runs? - Can I show only warning and error lines from a job's logs? instructions: - text: Show the logs of job {jobId} in project {projectId}. slots: jobId: path.jobId projectId: path.projectId - text: Get the last {limit} log lines of job {jobId} at level {logLevel}. slots: limit: query.limit jobId: path.jobId logLevel: query.logLevel method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/{jobId}/stdout/download'].get update: x-apievangelist-phrasing: intent: Download a job's logs as a text file effect: read questions: - Can I save a job's full log output to a text file? - How do I download job logs to attach to a support ticket? instructions: - text: Download the logs of job {jobId} in project {projectId} as a text file. slots: jobId: path.jobId projectId: path.projectId - text: Save job {jobId}'s log output to a file. slots: jobId: path.jobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/{jobId}/cancel'].post update: x-apievangelist-phrasing: intent: Cancel a running job effect: destructive questions: - How do I stop a training job that's taking too long? - Can I force-cancel a job that won't stop on its own? instructions: - text: Cancel job {jobId} in project {projectId}. slots: jobId: path.jobId projectId: path.projectId - text: Force-cancel stuck job {jobId}. slots: jobId: path.jobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/generate-features'].post update: x-apievangelist-phrasing: intent: Generate features from the raw training set effect: write questions: - How do I run a processing block over my raw training data to produce features? - Can I calculate feature importance while generating features? instructions: - text: Generate features in project {projectId} with DSP block {dspId}. slots: projectId: path.projectId dspId: requestBody.dspId - text: Generate features for DSP block {dspId} and compute feature importance too. slots: dspId: requestBody.dspId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/autotune-dsp'].post update: x-apievangelist-phrasing: intent: Autotune a DSP block's parameters effect: write questions: - Can Edge Impulse pick good signal processing parameters for me automatically? - How do I autotune the settings of a processing block? instructions: - text: Autotune the parameters of DSP block {dspId} in project {projectId}. slots: dspId: requestBody.dspId projectId: path.projectId - text: Find the best processing parameters for block {dspId}. slots: dspId: requestBody.dspId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/train/keras/{learnId}'].post update: x-apievangelist-phrasing: intent: Train a neural network with Keras effect: write questions: - How do I train the neural network classifier in my impulse? - Can I set training cycles, learning rate and batch size for a Keras training run? - Is there a way to train with my own expert-mode Keras script? instructions: - text: Train Keras learn block {learnId} in project {projectId}. slots: learnId: path.learnId projectId: path.projectId - text: Train neural network block {learnId} for {trainingCycles} cycles at learning rate {learningRate} with batch size {batchSize}. slots: learnId: path.learnId trainingCycles: requestBody.trainingCycles learningRate: requestBody.learningRate batchSize: requestBody.batchSize - text: Train Keras block {learnId} using custom script {script}. slots: learnId: path.learnId script: requestBody.script method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/train/anomaly/{learnId}'].post update: x-apievangelist-phrasing: intent: Train an anomaly detection model effect: write questions: - How do I train a K-means or GMM anomaly detector on my features? - Can I choose which axes and how many clusters the anomaly model uses? instructions: - text: Train anomaly block {learnId} in project {projectId} on axes {axes} with minimum confidence {minimumConfidenceRating}. slots: learnId: path.learnId projectId: path.projectId axes: requestBody.axes minimumConfidenceRating: requestBody.minimumConfidenceRating - text: Train anomaly detection block {learnId} with {clusterCount} clusters. slots: learnId: path.learnId clusterCount: requestBody.clusterCount method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/train/keras/{learnId}/export'].post update: x-apievangelist-phrasing: intent: Export a Keras block's training pipeline effect: write questions: - Can I export the training code of my Keras block to run it locally? - How do I get the training pipeline behind a learn block? instructions: - text: Export the training pipeline of Keras block {learnId} in project {projectId}. slots: learnId: path.learnId projectId: path.projectId - text: Package the Keras training code for block {learnId}. slots: learnId: path.learnId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/train/keras/{learnId}/data'].post update: x-apievangelist-phrasing: intent: Export a Keras block's train/validation data effect: write questions: - How do I download the exact train and validation split a Keras block used? - Can I override image input scaling when exporting a block's data? instructions: - text: Export the split training data of Keras block {learnId} in project {projectId}. slots: learnId: path.learnId projectId: path.projectId - text: Export block {learnId} data with image input scaling {overrideImageInputScaling}. slots: learnId: path.learnId overrideImageInputScaling: requestBody.overrideImageInputScaling method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/build-ondevice-model'].post update: x-apievangelist-phrasing: intent: Build an on-device deployment of the impulse effect: write questions: - How do I generate a C++ library or firmware to run my model on a microcontroller? - Can I choose between an int8 and float32 model when building for a device? instructions: - text: Build deployment type {type} for project {projectId} with engine {engine}. slots: type: query.type projectId: path.projectId engine: requestBody.engine - text: Build a {type} on-device model of impulse {impulseId} using engine {engine} and model type {modelType}. slots: type: query.type impulseId: query.impulseId engine: requestBody.engine modelType: requestBody.modelType method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/build-ondevice-model/organization'].post update: x-apievangelist-phrasing: intent: Build a deployment with an organization deploy block effect: write questions: - How do I build my model using my organization's custom deployment block? - Can I deploy an impulse through a custom deploy block we created? instructions: - text: Build project {projectId} with organization deploy block {deployBlockId} and engine {engine}. slots: projectId: path.projectId deployBlockId: requestBody.deployBlockId engine: requestBody.engine - text: Deploy impulse {impulseId} via our custom deploy block {deployBlockId}. slots: impulseId: query.impulseId deployBlockId: requestBody.deployBlockId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/export/original'].post update: x-apievangelist-phrasing: intent: Export project data in its original upload form effect: write questions: - How do I export all my data exactly as it was uploaded? - Can I keep friendly uploader filenames and crops in a data export? instructions: - text: Export all original data in project {projectId}, friendly filenames {uploaderFriendlyFilenames}, keep crops {retainCrops}. slots: projectId: path.projectId uploaderFriendlyFilenames: requestBody.uploaderFriendlyFilenames retainCrops: requestBody.retainCrops - text: Start an export of the raw uploaded files of project {projectId}. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/export/wav'].post update: x-apievangelist-phrasing: intent: Export project data as WAV files effect: write questions: - Can I export my project's audio samples as WAV files? - Does exporting to WAV keep my cropped sample regions? instructions: - text: 'Export all data in project {projectId} as WAV, retaining crops: {retainCrops}.' slots: projectId: path.projectId retainCrops: requestBody.retainCrops - text: Convert and export project {projectId}'s dataset to WAV. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/retrain'].post update: x-apievangelist-phrasing: intent: Retrain the impulse with its last settings effect: write questions: - I added new data — how do I retrain my model with the same settings as before? - Can I retrain one specific impulse instead of the default? instructions: - text: Retrain the impulse in project {projectId} with the last known parameters. slots: projectId: path.projectId - text: Retrain impulse {impulseId} on the current data. slots: impulseId: query.impulseId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/classify'].post update: x-apievangelist-phrasing: intent: Classify the test set against the impulse effect: write questions: - How do I run model testing on my whole test dataset? - Can I classify test data with only certain model variants, like int8? instructions: - text: Classify all test data in project {projectId} against the current impulse. slots: projectId: path.projectId - text: Run model testing for impulse {impulseId} with variants {modelVariants}. slots: impulseId: query.impulseId modelVariants: requestBody.modelVariants method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/performance-calibration'].post update: x-apievangelist-phrasing: intent: Simulate real-world performance of a model effect: write questions: - How will my keyword spotting model perform on continuous real-world audio? - Which label should count as background noise when calibrating performance? instructions: - text: Run performance calibration in project {projectId} with background noise label {backgroundNoiseLabel}. slots: projectId: path.projectId backgroundNoiseLabel: requestBody.backgroundNoiseLabel - text: Calibrate impulse {impulseId} over {sampleLengthMinutes} minutes of simulated audio using noise label {backgroundNoiseLabel}. slots: impulseId: query.impulseId sampleLengthMinutes: requestBody.sampleLengthMinutes backgroundNoiseLabel: requestBody.backgroundNoiseLabel method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/evaluate'].post update: x-apievangelist-phrasing: intent: Evaluate every model variant of the impulse effect: write questions: - How do I compare accuracy of the quantized and float versions of my model? - Can I evaluate all variants of one particular impulse? instructions: - text: Evaluate all variants of the impulse in project {projectId}. slots: projectId: path.projectId - text: Run an evaluation across every model variant of impulse {impulseId}. slots: impulseId: query.impulseId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/version'].post update: x-apievangelist-phrasing: intent: Save a new version of the project effect: write questions: - How do I snapshot my project's data and configuration as a version? - Can I store a project version in my own storage bucket and make it public? instructions: - text: 'Version project {projectId} with description {description}, public: {makePublic}.' slots: projectId: path.projectId description: requestBody.description makePublic: requestBody.makePublic - text: Create a project version in bucket {bucketId} described as {description}. slots: bucketId: requestBody.bucketId description: requestBody.description method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/restore'].post update: x-apievangelist-phrasing: intent: Restore a project from a saved version effect: destructive questions: - How do I restore an empty project to one of my saved versions? - Will restoring a version overwrite my impulse and settings? instructions: - text: Restore project {targetProjectId} to version {versionId} of project {sourceProjectId} using API key {projectApiKey}. slots: targetProjectId: path.projectId versionId: requestBody.versionId sourceProjectId: requestBody.projectId projectApiKey: requestBody.projectApiKey - text: Roll empty project {targetProjectId} back to private version {versionId}. slots: targetProjectId: path.projectId versionId: requestBody.versionId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/restore/from-public'].post update: x-apievangelist-phrasing: intent: Restore a project from a public version effect: destructive questions: - Can I fill an empty project with a public project's version? - How do I clone a public Edge Impulse project into my own empty project? instructions: - text: Restore project {targetProjectId} from public project version {publicProjectId}. slots: targetProjectId: path.projectId publicProjectId: requestBody.projectId - text: Load public version {publicProjectId} into my empty project. slots: publicProjectId: requestBody.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/versions/{versionId}/make-public'].post update: x-apievangelist-phrasing: intent: Make a project version public effect: write questions: - How do I publish a version of my project so others can view and clone it? - What happens to data when I make a project version public? instructions: - text: Make version {versionId} of project {projectId} public. slots: versionId: path.versionId projectId: path.projectId - text: Publish version {versionId} so anyone can clone it. slots: versionId: path.versionId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/keywords-noise'].post update: x-apievangelist-phrasing: intent: Add sample keywords and noise data effect: write questions: - How do I load the getting-started keyword and noise samples into a project? - Is there a quick way to seed a project with example audio for the tutorial? instructions: - text: Add the keywords and noise starter data to project {projectId}. slots: projectId: path.projectId - text: Seed project {projectId} with the getting-started audio dataset. slots: projectId: path.projectId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/profile-tflite'].post update: x-apievangelist-phrasing: intent: Profile a TFLite model's latency and memory effect: write questions: - How much RAM, ROM and latency would my TFLite model need on a target device? - Can I profile a model I trained elsewhere for a particular microcontroller? instructions: - text: Profile TFLite model {tfliteFileBase64} on device {device} in project {projectId}. slots: tfliteFileBase64: requestBody.tfliteFileBase64 device: requestBody.device projectId: path.projectId - text: Estimate latency and memory of my TFLite model on {device}. slots: device: requestBody.device method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/deploy-pretrained-model'].post update: x-apievangelist-phrasing: intent: Build an SDK from a pretrained model effect: write questions: - Can I bring my own pretrained model and get a deployable library from it? - Which model file types can I upload to deploy a pretrained model? instructions: - text: Deploy pretrained model {modelFileBase64} of type {modelFileType} as {deploymentType} in project {projectId} with model info {modelInfo}. slots: modelFileBase64: requestBody.modelFileBase64 modelFileType: requestBody.modelFileType deploymentType: requestBody.deploymentType projectId: path.projectId modelInfo: requestBody.modelInfo - text: Build a {deploymentType} deployment from my uploaded {modelFileType} model using engine {engine}. slots: deploymentType: requestBody.deploymentType modelFileType: requestBody.modelFileType engine: requestBody.engine method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/profile-tflite/{jobId}/result'].get update: x-apievangelist-phrasing: intent: Get TFLite profiling results effect: read questions: - Where do I read the latency and memory numbers after profiling my TFLite model? - Is my TFLite profiling job's result ready to fetch with a simple GET? instructions: - text: Get the TFLite profiling results of job {jobId} in project {projectId}. slots: jobId: path.jobId projectId: path.projectId - text: Fetch the RAM, ROM and latency profile from job {jobId}. slots: jobId: path.jobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/profile-tflite/{jobId}/result'].post update: x-apievangelist-phrasing: intent: Get TFLite profiling results via POST effect: read questions: - Is there a POST variant for retrieving TFLite profiling results when GET isn't an option? - Can a client that only sends POST requests read a profile job's output? instructions: - text: Retrieve the profiling result of TFLite job {jobId} in project {projectId} using the POST variant. slots: jobId: path.jobId projectId: path.projectId - text: Use a POST request to read the TFLite profile output of job {jobId}. slots: jobId: path.jobId method: generated generated: '2026-10-01' - target: $.paths['/api/{projectId}/jobs/import-data-from-project'].post update: x-apievangelist-phrasing: intent: Import all data from another project effect: write questions: - How do I copy all the samples from one of my projects into another? - Can I merge data from a project I collaborate on into this one? instructions: - text: Import all data from project {sourceProjectId} into project {projectId}. slots: sourceProjectId: requestBody.projectId projectId: path.projectId - text: Copy the dataset of project {sourceProjectId} into this project. slots: sourceProjectId: requestBody.projectId method: generated generated: '2026-10-01'