generated: '2026-07-15' method: generated source: openapi/mlflow-openapi.yml description: Recommended x-agentic-access execution contracts, classified heuristically from the OpenAPI. A governance starting point for exposing this API to AI agents — review and bind audience per deployment. See research/curity/agentic-governance/. summary: operations: 23 by_action_class: acting: 17 connected: 6 by_consequence: write: 17 read: 6 human_in_the_loop_required: 0 operations: - path: /api/2.0/mlflow/experiments/create method: post operationId: createExperiment x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/experiments/search method: post operationId: searchExperiments x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/experiments/get method: get operationId: getExperiment x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/experiments/get-by-name method: get operationId: getExperimentByName x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/experiments/delete method: post operationId: deleteExperiment x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/experiments/restore method: post operationId: restoreExperiment x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/experiments/update method: post operationId: updateExperiment x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/create method: post operationId: createRun x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/update method: post operationId: updateRun x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/get method: get operationId: getRun x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/runs/search method: post operationId: searchRuns x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/delete method: post operationId: deleteRun x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/restore method: post operationId: restoreRun x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/log-metric method: post operationId: logMetric x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/log-parameter method: post operationId: logParameter x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/runs/log-batch method: post operationId: logBatch x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/metrics/get-history method: get operationId: getMetricHistory x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/artifacts/list method: get operationId: listArtifacts x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/artifacts/presigned-upload-url method: post operationId: presignedUploadUrl x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/registered-models/create method: post operationId: createRegisteredModel x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/registered-models/get method: get operationId: getRegisteredModel x-agentic-access: action-class: connected consequence: read subject: optional token: max-ttl: 3600 audit: none - path: /api/2.0/mlflow/registered-models/search method: post operationId: searchRegisteredModels x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required - path: /api/2.0/mlflow/model-versions/create method: post operationId: createModelVersion x-agentic-access: action-class: acting consequence: write subject: required audience: null token: max-ttl: 900 escalation: human-in-the-loop: conditional triggers: - abnormal - high-value audit: required