{ "version": 1, "id": "ffadb0c5be5c44738d1977182ea46c28", "verifiers": { "version": "0.3.1" }, "task": { "type": "MartechBenchV1Task", "data": { "idx": 839, "name": "event_transform_hospital_tycoon_prestige_bridge", "prompt": "The July Hospital Tycoon prestige test has stalled. AppLovin traffic is arriving in the mobile feed, but the recovery experiment has no useful conversions and the prestige-start follow-up is not reaching the right players. Please restore the canonical mobile attribution event that Mina’s brief calls for, then make the paid prestige flow route newly attributed players through the two approved treatments. Organic installs should stay outside the programme, and Operations still depends on the ward-rush reporting route. Mina’s brief is in the Growth Drive, and Devika’s mobile incident note is on Confluence.\n\nBook Hospital Tycoon's Head of Product and direct reports into their earliest 30-minute prestige-event experiment review on 29 July 2026 during 09:00–17:00 America/New_York.\n", "system_prompt": "You are a marketing automation agent. Execute the requested task using the available tools. Do not ask clarifying questions; use the information provided and make reasonable assumptions when needed.\n\nCurrent workspace time: 2026-07-22T12:00:00Z\nWorkspace timezone: UTC", "network_allow": [ "*" ], "network_block": [], "artifacts": [], "timeout": {}, "resources": {}, "task_id": "event_transform_hospital_tycoon_prestige_bridge", "task_revision": "1.0.2", "task_digest": "sha256:c32618892ca2f1e9cb03fc1a739651dacf992811c97f82235ab7e09e53dafa65", "environment_release": "1.1.1", "environment_digest": "sha256:e03b286f9c9d3cf209efbb66b505975cee1fbf4b7c00500cec3362d426005837", "task_surface_digest": "sha256:c61f245ed387f1f3412f7a23446631eadabc28598f6e76db3e9706ffdb70b674", "instruction_digest": "sha256:5e6e787fd00746f5d499ad2e5201876378738f9f0a9fa61c23841c7b06f1609f", "grader_digest": "sha256:f8d0b17930eafcf31d7053ee0c5d505737993bcc5650da2fbb048c04afbc590f", "fixture_digest": "sha256:cabc293706fad294ecc0f4e8499ada6bb06b140c77666308b05ba34ecedd136c", "public_evidence_digest": "sha256:2cd7da5113333623506ca0c542c0c4e1d11bed0a20f3dd9f742d1e02c077285a" }, "key": "27d7a2b33842f3338fa305090ba2494ee96dbac54f9ad840265b735d8273d0b3", "hash": "27d7a2b33842f3338fa305090ba2494ee96dbac54f9ad840265b735d8273d0b3" }, "agent": { "config": { "harness": { "id": "null", "env": {}, "forward_env": [], "tool_timeout": 600.0, "skills": [] }, "runtime": { "type": "subprocess" }, "model": "openai/gpt-5.6-luna", "sampling": { "reasoning_effort": "high", "service_tier": "flex" }, "max_turns": 40, "timeout": { "rollout": 36000.0 }, "retries": { "max_retries": 0, "include": [], "exclude": [] } }, "name": "agent", "trainable": true }, "tools": [ { "name": "browse_appsflyer_apps", "description": "Browse compact AppsFlyer app registrations and availability. Use fetch_appsflyer_app with an exact app ID for complete settings.", "parameters": { "type": "object", "properties": { "mobileAppId": { "type": "string" }, "status": { "type": "string" }, "includeArchived": { "type": "boolean" }, "cursor": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation cursor returned by a previous response." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of apps returned in this response." } }, "additionalProperties": false } }, { "name": "create_calendar_event", "description": "Create a UTC calendar event with required and optional canonical employee attendees. Required-attendee conflicts or working-window violations fail; all attempts are recorded.", "parameters": { "type": "object", "properties": { "title": { "type": "string", "minLength": 1, "maxLength": 200 }, "startTime": { "type": "string", "format": "date-time", "pattern": "Z$", "description": "ISO-8601 UTC timestamp ending in Z." }, "endTime": { "type": "string", "format": "date-time", "pattern": "Z$", "description": "ISO-8601 UTC timestamp ending in Z." }, "attendees": { "type": "array", "minItems": 1, "items": { "type": "object", "properties": { "employeeId": { "type": "string", "minLength": 1 }, "attendance": { "type": "string", "enum": [ "required", "optional" ] } }, "required": [ "employeeId", "attendance" ], "additionalProperties": false } } }, "required": [ "title", "startTime", "endTime", "attendees" ], "additionalProperties": false } }, { "name": "fetch_ab_experiments", "description": "Fetch experiment configurations, versions, variants, and lifecycle state. Results include stable experiment IDs and keys.", "parameters": { "type": "object", "properties": { "experimentId": { "type": "string" }, "key": { "type": "string" }, "includeArchived": { "type": "boolean" }, "includeAllVersions": { "type": "boolean" }, "versionStatus": { "type": "string", "enum": [ "draft", "active", "terminated" ], "description": "Current experiment-version status." }, "author": { "type": "string", "description": "Experiment author to match." }, "secondaryMetricId": { "type": "string", "description": "Secondary metric linked to the experiment." }, "hasDraft": { "type": "boolean", "description": "Whether the experiment has a draft version." }, "experimentType": { "type": "string", "enum": [ "bayesian", "frequentist", "contextual_bandit" ], "description": "Experiment decision mode." }, "state": { "type": "string", "enum": [ "not_started", "running", "ended", "archived" ], "description": "Derived experiment lifecycle state." }, "primaryMetricId": { "type": "string", "description": "Primary metric linked to the experiment." } }, "additionalProperties": false } }, { "name": "fetch_activations", "description": "Fetch activation configurations, versions, lifecycle state, and runtime configuration. Results include stable activation IDs and keys.", "parameters": { "type": "object", "properties": { "activationId": { "type": "string" }, "key": { "type": "string" }, "activationVersionId": { "type": "string" }, "includeArchived": { "type": "boolean" }, "includeAllVersions": { "type": "boolean" }, "includeFrozenSnapshots": { "type": "boolean" }, "versionStatus": { "type": "string", "enum": [ "draft", "active", "disconnected" ], "description": "Current activation-version status." }, "containsStepType": { "type": "string", "description": "Action type present in the current activation version." }, "archived": { "type": "boolean", "description": "Archived state to match." } }, "additionalProperties": false } }, { "name": "fetch_api_connections", "description": "Fetch API connections. Omit filters to list active connections; set includeArchived to include archived connections. Bearer token values are never returned; bearerTokenSecretName names the referenced secret when one exists. Broad reads return compact summaries; provide an exact apiConnectionId or key to retrieve the complete configuration.", "parameters": { "type": "object", "properties": { "apiConnectionId": { "type": "string" }, "key": { "type": "string" }, "includeArchived": { "type": "boolean" }, "method": { "type": "string", "enum": [ "GET", "POST", "PUT", "PATCH", "DELETE" ], "description": "HTTP request method." }, "bodyMode": { "type": "string", "enum": [ "static_json", "jsonata" ], "description": "Connection request body mode." }, "archived": { "type": "boolean", "description": "Archived state to match." } }, "additionalProperties": false } }, { "name": "fetch_cdp_integration_catalog", "description": "Browse the CDP integration catalog or fetch one exact catalog entry. A blank optional catalogSlug is treated as omitted.", "parameters": { "type": "object", "properties": { "catalogSlug": { "type": "string" }, "direction": { "type": "string", "enum": [ "source", "activation" ] }, "continuationToken": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation token from a previous result page." }, "pageSize": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of integrations returned in this response." } }, "additionalProperties": false } }, { "name": "fetch_cdp_integrations", "description": "Browse installed CDP integrations or fetch one exact installation with safe provider settings. Blank optional string selectors are treated as omitted.", "parameters": { "type": "object", "properties": { "integrationId": { "type": "string" }, "catalogSlug": { "type": "string" }, "direction": { "type": "string", "enum": [ "source", "activation" ] }, "includeUninstalled": { "type": "boolean" }, "continuationToken": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation token from a previous result page." }, "pageSize": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of integrations returned in this response." } }, "additionalProperties": false } }, { "name": "fetch_document", "description": "Fetch one complete platform-doc or company-knowledge article by its stable documentId.", "parameters": { "type": "object", "properties": { "documentId": { "type": "string", "minLength": 1, "description": "Exact stable document ID." } }, "required": [ "documentId" ], "additionalProperties": false } }, { "name": "fetch_mobile_apps", "description": "List registered mobile apps. Broad reads return compact summaries; provide an exact mobileAppId to retrieve the complete configuration.", "parameters": { "type": "object", "properties": { "mobileAppId": { "type": "string" }, "platformAppId": { "type": "string" }, "status": { "type": "string" }, "includeArchived": { "type": "boolean" } }, "additionalProperties": false } }, { "name": "fetch_push_api_config", "description": "Fetch one Push API configuration with its selections, test result, usage, and masked authorization.", "parameters": { "type": "object", "properties": { "pushEndpointId": { "type": "string", "minLength": 1 } }, "required": [ "pushEndpointId" ], "additionalProperties": false } }, { "name": "fetch_schema", "description": "Fetch the current CDP runtime schema as Markdown.", "parameters": { "type": "object", "properties": { "type": { "type": "string", "enum": [ "event", "customer", "identifier", "customer_aggregate" ], "description": "Schema section to fetch." }, "types": { "type": "array", "items": { "type": "string", "enum": [ "event", "customer", "identifier", "customer_aggregate" ] }, "minItems": 1, "uniqueItems": true, "description": "Schema sections to fetch in one invocation, returned in the requested order." }, "aggregateType": { "type": "string", "enum": [ "count", "min", "max", "avg", "sum", "median", "mostRecent" ], "description": "Calculated-property aggregation type to match." }, "eventType": { "type": "string", "description": "Source event type used by calculated customer properties." }, "status": { "type": "string", "enum": [ "active", "deleted" ], "description": "Calculated-property lifecycle state." } }, "oneOf": [ { "required": [ "type" ] }, { "required": [ "types" ] } ], "additionalProperties": false } }, { "name": "fetch_webhook", "description": "Fetch one CDP webhook.", "parameters": { "type": "object", "properties": { "webhookId": { "type": "string", "minLength": 1 } }, "required": [ "webhookId" ], "additionalProperties": false } }, { "name": "fetch_workplace_employee", "description": "Fetch one employee's exact directory and org-chart details by stable employee ID.", "parameters": { "type": "object", "properties": { "employeeId": { "type": "string", "minLength": 1 } }, "required": [ "employeeId" ], "additionalProperties": false } }, { "name": "fetch_workplace_product", "description": "Fetch one product's exact owning team, product-specific Head of Product, and lifecycle-marketing owner by stable product ID.", "parameters": { "type": "object", "properties": { "productId": { "type": "string", "minLength": 1 } }, "required": [ "productId" ], "additionalProperties": false } }, { "name": "find_partner_integrations", "description": "Find compact installed-partner records by app, partner, or connection state. Use fetch_partner_integration with an exact integration ID for complete settings.", "parameters": { "type": "object", "properties": { "appsFlyerAppId": { "type": "string" }, "catalogSlug": { "type": "string" }, "status": { "type": "string" }, "includeArchived": { "type": "boolean" }, "cursor": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation cursor returned by a previous response." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of integrations returned in this response." } }, "additionalProperties": false } }, { "name": "get_ab_metric", "description": "Get the complete definition of one experiment conversion metric by exact stable ID or key.", "parameters": { "type": "object", "properties": { "metricId": { "type": "string", "minLength": 1 }, "key": { "type": "string", "minLength": 1 } }, "oneOf": [ { "required": [ "metricId" ] }, { "required": [ "key" ] } ], "additionalProperties": false } }, { "name": "list_all_segments", "description": "List segments.", "parameters": { "type": "object", "properties": { "after": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation position returned by a previous response." }, "first": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of segments returned in this response." }, "segmentType": { "type": "string", "enum": [ "standard", "real_time", "audience_condition_v1", "audience_condition_v2" ], "description": "Segment definition type." }, "segmentVersion": { "type": "integer", "minimum": 1, "description": "Persisted segment version to match." }, "definitionAvailable": { "type": "boolean", "description": "Whether a stored segment definition is available." } }, "additionalProperties": false } }, { "name": "list_all_webhooks", "description": "List CDP webhooks.", "parameters": { "type": "object", "properties": { "status": { "type": "string" }, "includeArchived": { "type": "boolean" }, "continuationToken": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation token from a previous result page." }, "pageSize": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of webhooks returned in this response." } }, "additionalProperties": false } }, { "name": "list_event_transformations", "description": "List active JSONata event transformations, optionally filtered by source event type.", "parameters": { "type": "object", "properties": { "eventType": { "type": "string", "description": "Optional source event type to inspect." }, "continuationToken": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation token from a previous result page." }, "pageSize": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of transformations returned in this response." }, "expressionName": { "type": "string", "minLength": 1, "description": "Expression name to match." }, "hasDeduplicationKey": { "type": "boolean", "description": "Whether a deduplication key expression is configured." } }, "additionalProperties": false } }, { "name": "list_push_api_configs", "description": "List compact AppsFlyer Push API configurations by app or lifecycle state. Use fetch_push_api_config with an exact configuration ID for complete settings.", "parameters": { "type": "object", "properties": { "appsFlyerAppId": { "type": "string" }, "status": { "type": "string" }, "includeArchived": { "type": "boolean" }, "cursor": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation cursor returned by a previous response." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of pushEndpoints returned in this response." } }, "additionalProperties": false } }, { "name": "list_workplace_direct_reports", "description": "List the active employees who report directly to one canonical manager employee ID.", "parameters": { "type": "object", "properties": { "managerEmployeeId": { "type": "string", "minLength": 1 }, "department": { "type": "string", "description": "Direct-report department to match." }, "employmentStatus": { "type": "string", "enum": [ "active", "inactive" ], "description": "Direct-report employment status." }, "titleContains": { "type": "string", "description": "Text contained in the direct-report title." } }, "required": [ "managerEmployeeId" ], "additionalProperties": false } }, { "name": "manage_ab_experiment", "description": "Create, update, terminate, or archive experiment configuration.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "terminate", "archive" ] }, "experimentId": { "type": "string" }, "key": { "type": "string" }, "name": { "type": "string" }, "hypothesis": { "type": "string" }, "description": { "type": "string" }, "experimentType": { "type": "string", "enum": [ "bayesian", "frequentist", "contextual_bandit" ] }, "assignmentIdentifierPath": { "type": "string" }, "randomisationSeed": { "type": "string" }, "primaryMetricId": { "type": "string" }, "secondaryMetricIds": { "type": "array", "items": { "type": "string" } }, "author": { "type": "string" }, "initialVersion": { "type": "object" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_ab_experiment_version", "description": "Create, update, activate, or terminate experiment versions.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "activate", "terminate" ] }, "experimentId": { "type": "string" }, "key": { "type": "string" }, "versionId": { "type": "string" }, "versionNumber": { "type": "integer" }, "eligibilityConditionId": { "type": "string" }, "contextualBanditContextPaths": { "type": "array", "items": { "type": "string" } }, "variants": { "type": "array", "items": { "type": "object" } }, "createdBy": { "type": "string" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_ab_metric", "description": "Create, update, or archive reusable experiment conversion metrics. Metrics define binary or continuous conversion facts from one CDP event type plus an optional event filter.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "archive" ] }, "metricId": { "type": "string" }, "key": { "type": "string" }, "name": { "type": "string" }, "description": { "type": "string" }, "conversionType": { "type": "string", "enum": [ "binary", "continuous" ] }, "eventType": { "type": "string" }, "eventFilter": { "type": "string", "description": "Optional event-scoped filter evaluated within eventType." }, "valuePath": { "type": "string" }, "preferredDirection": { "type": "string", "enum": [ "increase", "decrease" ] }, "createdBy": { "type": "string" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_activation", "description": "Create, update, or archive activation parents.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "archive" ] }, "activationId": { "type": "string" }, "key": { "type": "string" }, "name": { "type": "string" }, "description": { "type": "string" }, "trigger": { "type": "object" }, "restartMode": { "type": "string", "enum": [ "restart", "ignore", "parallel" ] }, "createdBy": { "type": "string" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_activation_version", "description": "Create, update, activate, disconnect, or terminate activation versions.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "activate", "disconnect", "terminate" ] }, "activationId": { "type": "string" }, "activationVersionId": { "type": "string" }, "copyFromVersionId": { "type": "string" }, "trigger": { "type": "object" }, "restartMode": { "type": "string", "enum": [ "restart", "ignore", "parallel" ] }, "steps": { "type": "array", "items": { "type": "object" } }, "createdBy": { "type": "string" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_api_connection", "description": "Create, update, or archive API connections.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "archive" ] }, "apiConnectionId": { "type": "string" }, "key": { "type": "string" }, "name": { "type": "string" }, "endpoint": { "type": "string" }, "bearerToken": { "type": "string" }, "bearerTokenSecretName": { "type": "string", "description": "Name of an app settings secret to use as the bearer token." }, "bodyMode": { "type": "string", "enum": [ "static_json", "jsonata" ] }, "body": { "type": "string" }, "createdBy": { "type": "string" } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_appsflyer_push_endpoint", "description": "Create, update, test, activate, pause, or archive an AppsFlyer Push API endpoint. Tests omit the configured authorization token; production includes it.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "test", "activate", "pause", "archive" ] }, "pushEndpointId": { "type": "string" }, "appsFlyerAppId": { "type": "string" }, "name": { "type": "string" }, "method": { "type": "string", "enum": [ "GET", "POST" ] }, "endpointUrl": { "type": "string" }, "authorizationToken": { "type": "string" }, "outputFields": { "type": "array", "items": { "type": "string" }, "uniqueItems": true }, "messageSelections": { "type": "array", "items": { "type": "object", "properties": { "messageType": { "type": "string", "enum": [ "install", "re_engagement", "re_attribution", "install_in_app_event", "re_engagement_in_app_event", "re_attribution_in_app_event" ] }, "scopes": { "type": "array", "items": { "type": "string", "enum": [ "organic", "non_organic" ] }, "minItems": 1, "uniqueItems": true }, "events": { "type": "array", "items": { "type": "string" }, "uniqueItems": true } }, "required": [ "messageType", "scopes" ], "additionalProperties": false }, "minItems": 1 } }, "required": [ "action" ], "additionalProperties": false } }, { "name": "manage_event_transformation", "description": "Create, update, or delete an active JSONata event transformation.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "update", "delete" ] }, "eventType": { "type": "string", "description": "Registered active ordinary source event type." }, "expressions": { "type": "array", "minItems": 1, "maxItems": 10, "items": { "type": "object", "properties": { "name": { "type": "string" }, "syntax": { "type": "string", "description": "JSONata expression returning one complete event object or null." }, "description": { "type": "string" } }, "required": [ "name", "syntax" ], "additionalProperties": false } }, "deduplicationKeyExpression": { "type": "string", "minLength": 1, "pattern": "\\S", "description": "Optional nonblank JSONata expression over the source event. Omit this field to configure no deduplication expression. Repeated non-empty scalar keys are suppressed locally after the first accepted output." } }, "required": [ "action", "eventType" ], "additionalProperties": false } }, { "name": "preview_event_transformation", "description": "Evaluate proposed JSONata event transformation expressions against one example event without persistence. Returns raw outputs and non-persisted CDP validation results.", "parameters": { "type": "object", "properties": { "eventType": { "type": "string", "description": "Registered active ordinary source event type." }, "expressions": { "type": "array", "minItems": 1, "maxItems": 10, "items": { "type": "object", "properties": { "name": { "type": "string" }, "syntax": { "type": "string" }, "description": { "type": "string" } }, "required": [ "name", "syntax" ], "additionalProperties": false } }, "event": { "type": "object", "description": "Example source event object." }, "limit": { "type": "integer", "minimum": 1, "maximum": 10 } }, "required": [ "eventType", "expressions", "event" ], "additionalProperties": false } }, { "name": "query_calendar_availability", "description": "Query working windows and busy calendar intervals for required and optional attendees over a UTC time range. Free time is implied by gaps inside each attendee's working window.", "parameters": { "type": "object", "properties": { "attendees": { "type": "array", "minItems": 1, "items": { "type": "object", "properties": { "employeeId": { "type": "string", "minLength": 1 }, "attendance": { "type": "string", "enum": [ "required", "optional" ] } }, "required": [ "employeeId", "attendance" ], "additionalProperties": false } }, "startTime": { "type": "string", "format": "date-time", "pattern": "Z$", "description": "ISO-8601 UTC timestamp ending in Z." }, "endTime": { "type": "string", "format": "date-time", "pattern": "Z$", "description": "ISO-8601 UTC timestamp ending in Z." } }, "required": [ "startTime", "endTime", "attendees" ], "additionalProperties": false } }, { "name": "read_cdp_journey_experimentation_settings", "description": "Read settings owned by the CDP, Journeys, and Experimentation product suite. Provider products such as AppLovin, AppsFlyer, and SendGrid expose their settings through their own tools. Secret values are never returned; only secret metadata is shown.", "parameters": { "type": "object", "properties": {}, "additionalProperties": false } }, { "name": "search_ab_metrics", "description": "Search the metric catalog using compact identity and lifecycle results. Use get_ab_metric with an exact metric ID or key to inspect the complete definition.", "parameters": { "type": "object", "properties": { "includeArchived": { "type": "boolean" }, "cursor": { "type": [ "string", "null" ], "minLength": 1, "description": "Continuation cursor returned by a previous response." }, "limit": { "type": "integer", "minimum": 1, "maximum": 100, "description": "Maximum number of metrics returned in this response." }, "archived": { "type": "boolean", "description": "Archived state to match." }, "createdBy": { "type": "string", "description": "User who created the metric." }, "semanticFieldsFrozen": { "type": "boolean", "description": "Whether the metric's semantic fields are frozen." }, "conversionType": { "type": "string", "enum": [ "binary", "continuous" ], "description": "Metric conversion type." }, "eventType": { "type": "string", "description": "Source event type used by the metric." }, "preferredDirection": { "type": "string", "enum": [ "increase", "decrease" ], "description": "Preferred metric movement." } }, "additionalProperties": false } }, { "name": "search_company_knowledge", "description": "Search company knowledge across internal Confluence documents, Drive docs, Slack history, internal policies, and support procedures for operating rules, launch context, process constraints, and delivery guidance. Returns compact matching snippets with a stable documentId, matching queries, limit, and minScore metadata. Use fetch_document with documentId to read the complete article.", "parameters": { "type": "object", "properties": { "queries": { "type": "array", "items": { "type": "string" }, "minItems": 1, "description": "Company knowledge search queries to run in one invocation." }, "limit": { "type": "integer", "minimum": 1, "maximum": 5, "description": "Number of company knowledge results to return for each query. Defaults to 1." }, "titleContains": { "type": "string", "description": "Text contained in the knowledge-page title." }, "pathPrefix": { "type": "string", "description": "Knowledge path prefix to match." } }, "required": [ "queries" ], "additionalProperties": false } }, { "name": "search_confluence_pages", "description": "Search Confluence pages by text, optionally by a space id.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "minLength": 1 }, "teamId": { "type": "string", "minLength": 1 }, "limit": { "type": "integer", "minimum": 1, "maximum": 100 }, "status": { "type": "string", "enum": [ "current", "archived" ], "description": "Confluence page lifecycle status." }, "spaceId": { "type": "string", "description": "Confluence space containing the page." } }, "required": [ "query" ], "additionalProperties": false } }, { "name": "search_platform_docs", "description": "Search this Martech platform product documentation for one or more queries.", "parameters": { "type": "object", "properties": { "product": { "type": "string", "enum": [ "applovin", "appsflyer", "cdp", "dns", "google_ads", "sendgrid", "workplace" ], "description": "Product help center to search." }, "queries": { "type": "array", "items": { "type": "string" }, "minItems": 1, "description": "Search queries to run in one invocation." }, "limit": { "type": "integer", "minimum": 1, "maximum": 5, "description": "Number of documents to return for each query. Defaults to 1." }, "dateFilter": { "type": "string", "pattern": "^-[1-9][0-9]*[dwmy]$", "description": "Creation-date lookback using -Nd, -Nw, -Nm, or -Ny." }, "lastModifiedFilter": { "type": "string", "pattern": "^-[1-9][0-9]*[dwmy]$", "description": "Last-modified lookback using -Nd, -Nw, -Nm, or -Ny." } }, "required": [ "product", "queries" ], "additionalProperties": false } }, { "name": "search_workplace_products", "description": "Search company products and product lines.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "minLength": 1 }, "limit": { "type": "integer", "minimum": 1, "maximum": 100 }, "productLine": { "type": "string", "description": "Product line to match." }, "lifecycleStatus": { "type": "string", "enum": [ "active", "inactive" ], "description": "Product lifecycle status." }, "owningTeamId": { "type": "string", "description": "Team responsible for the product." } }, "required": [ "query" ], "additionalProperties": false } } ], "nodes": [ { "message": { "role": "system", "content": "You are a marketing automation agent. Execute the requested task using the available tools. Do not ask clarifying questions; use the information provided and make reasonable assumptions when needed.\n\nCurrent workspace time: 2026-07-22T12:00:00Z\nWorkspace timezone: UTC" }, "sampled": false, "timestamp": 1788405009.2097669, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 0, "message": { "role": "user", "content": "The July Hospital Tycoon prestige test has stalled. AppLovin traffic is arriving in the mobile feed, but the recovery experiment has no useful conversions and the prestige-start follow-up is not reaching the right players. Please restore the canonical mobile attribution event that Mina’s brief calls for, then make the paid prestige flow route newly attributed players through the two approved treatments. Organic installs should stay outside the programme, and Operations still depends on the ward-rush reporting route. Mina’s brief is in the Growth Drive, and Devika’s mobile incident note is on Confluence.\n\nBook Hospital Tycoon's Head of Product and direct reports into their earliest 30-minute prestige-event experiment review on 29 July 2026 during 09:00–17:00 America/New_York.\n" }, "sampled": false, "timestamp": 1788405009.20993, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 1, "message": { "role": "assistant", "tool_calls": [ { "id": "call_m4wFqdb3xlhHYQu0F1J9WO3D", "type": "function", "name": "search_company_knowledge", "arguments": "{\"queries\":[\"Mina brief July Hospital Tycoon prestige test canonical mobile attribution event paid prestige flow approved treatments organic installs ward-rush reporting route Growth Drive\",\"Hospital Tycoon prestige mobile attribution recovery experiment prestige-start follow-up Mina\"],\"limit\":5,\"titleContains\":\"\",\"pathPrefix\":\"Growth Drive\"}" }, { "id": "call_ZLzUfjUiGyvBSnFYmI5c0bfG", "type": "function", "name": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e508216487d19cc1588e1d99adad", "index": 0 } ] }, "sampled": true, "timestamp": 1788405009.210037, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 2, "message": { "role": "tool", "tool_call_id": "call_m4wFqdb3xlhHYQu0F1J9WO3D", "content": "{\"limit\":5,\"message\":\"No company knowledge documents or messages are available.\",\"minScore\":0.75,\"results\":[]}", "name": "search_company_knowledge" }, "sampled": false, "timestamp": 1788405025.6484978, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 3, "message": { "role": "tool", "tool_call_id": "call_ZLzUfjUiGyvBSnFYmI5c0bfG", "content": "{\"pages\":[]}", "name": "search_confluence_pages" }, "sampled": false, "timestamp": 1788405025.6489348, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 4, "message": { "role": "tool", "tool_call_id": "call_aIJdKlVjtSwX7aaEsTGFYNSr", "content": "{\"products\":[{\"name\":\"Hospital Tycoon\",\"owningTeamId\":\"team_000005\",\"productId\":\"prd_000005\",\"productLine\":\"Simulation Games\",\"status\":\"active\"}]}", "name": "search_workplace_products" }, "sampled": false, "timestamp": 1788405025.649276, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 5, "message": { "role": "assistant", "tool_calls": [ { "id": "call_rhyuVZ9r6E9ZzUCx11UdTZdG", "type": "function", "name": "fetch_workplace_product", "arguments": "{\"productId\":\"prd_000005\"}" }, { "id": "call_VjEmnijZnhe9Gdn53NKwBS9n", "type": "function", "name": "search_company_knowledge", "arguments": "{\"queries\":[\"Hospital Tycoon prestige\",\"Mina\",\"ward-rush\",\"Devika mobile incident\"],\"limit\":5,\"titleContains\":\"\",\"pathPrefix\":\"\"}" }, { "id": "call_XOqLItGsQv8I8DlUYEaKyO7O", "type": "function", "name": "search_confluence_pages", "arguments": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e519377487d1a784011f52b8f85e", "index": 0 } ] }, "sampled": true, "timestamp": 1788405025.649568, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 6, "message": { "role": "tool", "tool_call_id": "call_rhyuVZ9r6E9ZzUCx11UdTZdG", "content": "{\"product\":{\"aliases\":[],\"brandId\":\"brand_000444\",\"headOfProductEmployeeId\":\"emp_000089\",\"lifecycleOwnerEmployeeId\":\"emp_000092\",\"name\":\"Hospital Tycoon\",\"operatingGroup\":\"Interactive Entertainment\",\"owningTeamId\":\"team_000005\",\"parentCompany\":{\"companyId\":\"co_7f31a2\",\"name\":\"Northstar Consumer Group\"},\"productId\":\"prd_000005\",\"productLine\":\"Simulation Games\",\"status\":\"active\",\"universeId\":\"hospital_tycoon_idle_ads\"}}", "name": "fetch_workplace_product" }, "sampled": false, "timestamp": 1788405040.463027, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 7, "message": { "role": 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incident\"],\"score\":1.31,\"snippets\":[],\"source\":\"company_knowledge\",\"title\":\"Mobile Data incident \\u2014 Hospital Tycoon\"}]}", "name": "search_company_knowledge" }, "sampled": false, "timestamp": 1788405040.4631832, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 8, "message": { "role": "tool", "tool_call_id": "call_XOqLItGsQv8I8DlUYEaKyO7O", "content": "{\"pages\":[]}", "name": "search_confluence_pages" }, "sampled": false, "timestamp": 1788405040.4632971, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 9, "message": { "role": "assistant", "tool_calls": [ { "id": "call_a3gA755Uc9LhOzKCdF5yZ7Pd", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"company:doc_4m8q2n\"}" }, { "id": "call_NAYg1QEom4qMiJSVqkC3QMBj", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"company:doc_7p3r6k\"}" }, { "id": "call_qpNzhYxaiMnPPUF7L6o8PZ2f", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"company:doc_6q4k8p\"}" }, { "id": "call_NPbQkduUK5kGZ7KYguFiAt20", "type": "function", "name": "fetch_workplace_employee", "arguments": "{\"employeeId\":\"emp_000089\"}" }, { "id": "call_f08HK0ZSDj9e308JPmtdZy9z", "type": "function", "name": "list_workplace_direct_reports", "arguments": "{\"managerEmployeeId\":\"emp_000089\",\"department\":\"\",\"employmentStatus\":\"active\",\"titleContains\":\"\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e528b7d087d19a670d91eada8a43", "index": 0 } ] }, "sampled": true, "timestamp": 1788405040.463427, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 10, "message": { "role": "tool", "tool_call_id": "call_a3gA755Uc9LhOzKCdF5yZ7Pd", "content": "{\"document\":{\"content\":\"# Hospital Tycoon prestige recovery brief\\\\nOwner: Mina Rao\\\\nLast updated: 2026-07-20\\\\n\\\\nThe July prestige push is approved for the Android app. New players and returning players from the Winback campaign should receive one of the two approved prestige-start treatments after AppsFlyer attribution: a ward-coach message or a quick-start message. This is a paid acquisition programme; organic installs are not part of the audience.\\\\n\\\\nA treatment is appropriate only while the player still has an AppsFlyer identity and the event that opened the flow was a paid install or re-attribution. Later unrelated events should not start the prestige handoff on their own.\\\\n\\\\nThe downstream event is `mobile:attribution`, carrying the AppsFlyer identity and the attributed campaign. The existing ward-rush reporting route is used by Operations and should continue unchanged.\",\"documentId\":\"company:doc_4m8q2n\",\"path\":\"Drive/Growth/UA/2026-07-20 Hospital Tycoon prestige recovery brief.md\",\"source\":\"company_knowledge\",\"title\":\"Hospital Tycoon prestige recovery brief\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405065.6440508, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 11, "message": { "role": "tool", "tool_call_id": "call_NAYg1QEom4qMiJSVqkC3QMBj", "content": "{\"document\":{\"content\":\"# Hospital Tycoon mobile incident\\\\nOwner: Devika Shah\\\\nLast updated: 2026-07-20\\\\n\\\\nAppLovin clicks still leave the campaign console, but the old AppsFlyer link was retired after the June parameter review. A green Push endpoint test does not include the production authorization header. The inbound CDP receiver stores the vendor body as `properties.body`; it does not translate AppsFlyer fields.\\\\n\\\\nThe current Push contract is non-organic `install` and `re_attribution`, with `appsflyer_id`, `event_type`, `event_time`, `campaign_id`, and `organic_status` available to the receiver. The canonical CDP identity is `appsFlyerId`.\",\"documentId\":\"company:doc_7p3r6k\",\"path\":\"Confluence/Data Platform/2026-07-20 Hospital Tycoon mobile incident.md\",\"source\":\"company_knowledge\",\"title\":\"Mobile Data incident \\u2014 Hospital Tycoon\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405065.644556, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 12, "message": { "role": "tool", "tool_call_id": "call_qpNzhYxaiMnPPUF7L6o8PZ2f", "content": "{\"document\":{\"content\":\"# Hospital Tycoon prestige treatment API handoff\\\\nOwner: Mira Chen, Growth Platform\\\\nLast updated: 2026-07-20\\\\nStatus: Approved for the July Android prestige push\\\\n\\\\nThe paid prestige router has two approved activation-flow destinations. The ward-coach treatment uses `https://ops.hospitaltycoon.co/v1/prestige/coach`; the quick-start treatment uses `https://ops.hospitaltycoon.co/v1/prestige/quickstart`. Both use POST with bearer authentication through the `HTY_PRESTIGE_ROUTER_TOKEN` platform secret.\\\\n\\\\nEach request body is JSONata over the triggered entry and should carry `appsFlyerId` from the current customer, `campaignId` and `conversionType` from the attributed entry event, plus the treatment value. The approved values are `ward_coach` for the coach endpoint and `quick_start` for the quick-start endpoint.\\\\n\\\\nRouting note: the attribution trigger can receive more mobile events than the July programme accepts. The activation flow CONDITION step is where the paid install versus re-attribution decision is made before experiment assignment, so an organic or other attribution event does not enter a prestige treatment by accident.\",\"documentId\":\"company:doc_6q4k8p\",\"path\":\"Confluence/Growth Platform/2026-07-20 Hospital Tycoon prestige treatment API handoff.md\",\"source\":\"company_knowledge\",\"title\":\"Hospital Tycoon prestige treatment API handoff\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405065.6448572, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 13, "message": { "role": "tool", "tool_call_id": "call_NPbQkduUK5kGZ7KYguFiAt20", "content": "{\"employee\":{\"department\":\"Product\",\"displayName\":\"Fatima Singh\",\"email\":\"fatima.singh.089@hospitaltycoon.com\",\"employeeId\":\"emp_000089\",\"managerEmployeeId\":\"emp_000002\",\"platformUserName\":null,\"status\":\"active\",\"teams\":[{\"membershipType\":\"lead\",\"name\":\"Hospital Tycoon Product\",\"teamId\":\"team_000005\"}],\"timezone\":\"America/New_York\",\"title\":\"Head of Product, Hospital Tycoon\",\"workingHours\":{\"end\":\"17:00\",\"start\":\"09:00\"}}}", "name": "fetch_workplace_employee" }, "sampled": false, "timestamp": 1788405065.645115, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 14, "message": { "role": "tool", "tool_call_id": "call_f08HK0ZSDj9e308JPmtdZy9z", "content": "{\"directReports\":[{\"department\":\"Product\",\"displayName\":\"Grace Ahmed\",\"employeeId\":\"emp_000090\",\"status\":\"active\",\"title\":\"Product Director, Hospital Tycoon\"},{\"department\":\"Data\",\"displayName\":\"Iris Diaz\",\"employeeId\":\"emp_000094\",\"status\":\"active\",\"title\":\"Data Platform Lead, Hospital Tycoon\"},{\"department\":\"Engineering\",\"displayName\":\"Jordan Rossi\",\"employeeId\":\"emp_000096\",\"status\":\"active\",\"title\":\"Engineering Lead, Hospital Tycoon\"},{\"department\":\"Analytics\",\"displayName\":\"Kai Gupta\",\"employeeId\":\"emp_000098\",\"status\":\"active\",\"title\":\"Analytics Lead, Hospital Tycoon\"}],\"managerEmployeeId\":\"emp_000089\"}", "name": "list_workplace_direct_reports" }, "sampled": false, "timestamp": 1788405065.645378, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 15, "message": { "role": "assistant", "reasoning_content": "**Planning data fetching**\n\nI want to list out various elements like AppsFlyer apps, push endpoints, integrations, CDP webhooks, transformations, activations, segments, API connections, and settings. I'm considering doing this in a parallel manner for broader coverage. To make it precise, I need to fetch exact IDs. I'll look into the schema first and then gather information on apps, endpoints, and partner integrations, including specifically the Appsflyer integration and the CDP webhooks.", "tool_calls": [ { "id": "call_WiPnfULtyMzHwbHJ2HFSn1On", "type": "function", "name": "fetch_schema", "arguments": "{\"type\":\"event\"}" }, { "id": "call_yWpMa6Hn0WmbmrCteqx0Rw7e", "type": "function", "name": "fetch_mobile_apps", "arguments": "{\"mobileAppId\":\"\",\"platformAppId\":\"\",\"status\":\"\",\"includeArchived\":false}" }, { "id": "call_OGbaVawXxHMBOdLO6NESblID", "type": "function", "name": "browse_appsflyer_apps", "arguments": "{\"mobileAppId\":\"\",\"status\":\"\",\"includeArchived\":false,\"cursor\":null,\"limit\":100}" }, { "id": "call_VCZMEUR65fZq8nGvmOwFw1et", "type": "function", "name": "list_push_api_configs", "arguments": "{\"appsFlyerAppId\":\"\",\"status\":\"\",\"includeArchived\":false,\"cursor\":null,\"limit\":100}" }, { "id": "call_QDnvleVI3NMLLgbKHa48SF1i", "type": "function", "name": "find_partner_integrations", "arguments": "{\"appsFlyerAppId\":\"\",\"catalogSlug\":\"\",\"status\":\"\",\"includeArchived\":false,\"cursor\":null,\"limit\":100}" }, { "id": "call_pu9yKHw4TksjEHsbewRcQYXl", "type": "function", "name": "fetch_cdp_integrations", "arguments": "{\"integrationId\":\"\",\"catalogSlug\":\"\",\"direction\":\"source\",\"includeUninstalled\":false,\"continuationToken\":null,\"pageSize\":100}" }, { "id": "call_gF4mBlUDoeGecXjA4v88PUGE", "type": "function", "name": "list_event_transformations", "arguments": "{\"eventType\":\"\",\"continuationToken\":null,\"pageSize\":100,\"expressionName\":\"mobile\",\"hasDeduplicationKey\":false}" }, { "id": "call_1M4p6nDZaEwm63izw79exLR7", "type": "function", "name": "fetch_activations", "arguments": "{\"activationId\":\"\",\"key\":\"\",\"activationVersionId\":\"\",\"includeArchived\":false,\"includeAllVersions\":true,\"includeFrozenSnapshots\":true,\"versionStatus\":\"active\",\"containsStepType\":\"\",\"archived\":false}" }, { "id": "call_rhtiPhd44mE9ZKdXoj2liFGI", "type": "function", "name": "list_all_segments", "arguments": "{\"after\":null,\"first\":100,\"segmentType\":\"standard\",\"segmentVersion\":1,\"definitionAvailable\":true}" }, { "id": "call_UHSyPtGrFq5Nl6VLrohAZi14", "type": "function", "name": "fetch_api_connections", "arguments": "{\"apiConnectionId\":\"\",\"key\":\"\",\"includeArchived\":false,\"method\":\"POST\",\"bodyMode\":\"jsonata\",\"archived\":false}" }, { "id": "call_6nFtf7in8bp2ieDGQ4CggVZ9", "type": "function", "name": "read_cdp_journey_experimentation_settings", "arguments": "{}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Planning data fetching**\n\nI want to list out various elements like AppsFlyer apps, push endpoints, integrations, CDP webhooks, transformations, activations, segments, API connections, and settings. I'm considering doing this in a parallel manner for broader coverage. To make it precise, I need to fetch exact IDs. I'll look into the schema first and then gather information on apps, endpoints, and partner integrations, including specifically the Appsflyer integration and the CDP webhooks.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOVIvYi24URDQ2AQLINMW2OQP3iRahouiy8Visss0cxiRkkk-4ZRAylLmZLeoxujf8rVDqmdb1qaK0rIX6eJruREQ7eu6B_yPx_Vq6hDGvrFphoPPo2rdQecuBOWxv_wqazir8UPH8ZpKtRkWxVvrQSyMEdQE7Mgp49WSclnTN3kOBtr-jk6XgI1Zt7x9B5gcJOCoTa53dH-G2CWtodCL7azgGQe1hzzFnbuoTSVYVHgf1pMByV4WWFf8SjOXceFPuv2JV47CIBIxnGbhrZw_ipzt5pNOiRrEz99M9eijiByhQgXm6h1jcqf8rqTH9M8Qa71r6blRSYxOVWuWVBJfkW3gev6IfL7z6j9YSOlCCnQCWX-f7Cy5Of66SvajBx3uiWrsyhPlIDy0-p9ofg_H245o7emfaI5uZprPqFPtrBYqe6HmN_ISVGZpoL2A6JgQhNcoiLd_N9IyDkWITtkscl-PvRRlTTbnl8CS6Mf_wWhg6LxNSSFXDnJu08F_L_ONEYK4OlRdLSuWTFEQENeQ4WFWftgO9I32eWX9hKxNEtVv3JEmDDt50Rg0-38UaJcmAjTdYppuKrEoTvJ5QVdBdMRuYHV1rj97HJj1v76Xtrz52RretWKUsMjC8p4PIUAXU0HNflhPENZpY3ThNJfn3W_UB_X_AZLunUtZXRrBNnb5rOS_UqWrCVpQqiIjvaTGUmzVFW9rKNDZnJjMZSNOWBxPdlBho8mwIMoH8YZO-3bM2ecN1w3T9qLyEYVsSKX7qsx7fhIFQQcn6_DOJOx3h4rg5X9ErC1NJo45fc4EnI-6z-eW9L1BLdzFSxi-LYFuKf2LXOQQvCyNaZo53MLUvH1uT9z2h9IkKopR77kdbpptTj6jWW5E62ZnLYj4g3J20MoJeH3xsZwJsC7nF6-Wx0PsZc35tlRzvJ3A_sIazgtIb9qf_r70got0fPtie3ePsQSQPFHDIWGxjh2PHhopfhftXztmmf05MuwFf94QdC2ROJYlxHlfCorbehF1nyjx3RxQpWyn09DHRoftlIcW9PvJkgACFRGl2_AfgMyz7FmiCfN6xVUFR5sFsTu5JbrlKGX9o9i-8qyZhMVAc_uR_vsnsD8_ZrvYy1JxDJHVRYYN65r91-NjcIeR0cHGeSnYBj_QAIu5l-ibtAeu74w4X8ph52G15TOxoE0xlAtGTKqzjyewpFYCZbZY4fcPGptX875cXrjl_Ib33VEX8kt7QzTkJsy8pJZ2Q5cZIELA1StIuPZXneeHYmHvPADc5lcll5II13xKqFKBapF5kZsDiG-KhKZVk8svo78Tv_AZva9rh8zHBriZPew67YtxhoQqpEODr6GNI46Weg5Y0vWZtuTBLBLLRBW5_zHukM6YmuNsBjhQERGLoIOuctHreRhI4tgBswFf82PipvJ00kT-eYM2WifvIP18fzWFRBtwp89vgM_WOJnbvPGS4Vdd-K7qFmm4LP1qfV1Y4JVUqdqygqynjMY3banKuSzKVj7Upu_h0sRqHKVN6s3s2uJWZmOq2OqtMNl-Q2J8JAsTjhUdK9XNLD0xy-DCD_0-DaxMUh4DABQGftXJomiwt9KoccwI3oWVAr0AiYo-DJDMq_OFKh2J4OX29ERjh1qCdHHLIgIBXi_RFvVQNaFMye0mODN4_HsonPjLAp8GjWvvqZcUjFrwhw4zS9M8EOFDoVipUz3yudOjmSXs6QBi59FSDDVq8bjp8Zbq1BdK8ftBYk_nhqH1cxFtuPLNTWr1H8e12cMaJD2eAqIdqegSFsFduWWZ38qjN0juakGPOQsfbjvMUaR0wFkBvZnCfGpQLPhq46KDM2dn0ATYTyMXmfCWYbcxWjgzK5CwztTS_xGzQYaOjpESNP7olcj6R2roo1WVoUNq7-Ziw_OZEolXC9pn7ioRgBio4-ZI3rLhoQ89tcDLAWEzPg_A9Y-EzDFujGmcOliq_6ac1dkUcqi91pQFtxlYJdG3R8C_0piiHAeqVskIc7wnbMfUQJDNeOVdGDDJKx4PekQlmqr8H3L7CQp7UwLfgsgD8_NPo2HLu1IFkjBOBhtZN79DwpT2Ty8zJiZY6qOtFOLC2iH886W0gSJTiBk0cEBDYKzPtcZ5nzvXtGJP60sIqp2eqzzOyKAIW80_6fSW4eJCGfCFY2wp_Oeo4u1mJQRHphRIDi5HyImbD7OiRAv372PsmNw3cN83cY4QwOfqFeAM3PMNDefLpNsghHvr7kWVsBphfea_2X20oYV-SG5PD0EnYtoGThAw4KoNPyTSgwAeYaHX1gBoddAu4xwBOl51wNt-HkFLt27rjPT4-N1hMdgUj3ttTr-B0G44pNUZN5M3UCMb1UjGOKaR_c7IBzZsWoXJusQFuFr7oVeiVa4X1JaLE4XSBsfLvnEUlgpHqhY81vJu26EljtykV_c68SkPamEHvWebuiyKHqmeTeO-fQMlF8-ygL10EPwU57vOR5ahaHWO26IUjazwNW0g5ZRqkHhZrklhEpws85Qq4alHOcz9ehI_FWFkHtsJ0189sKeFIzU2GfQy7om28QnYmjfJ24A6IftAK0nc7aW0s-1ti1qEdy9SgZgMlfBuNpfGi18otUdLcxY5g3ge2hfiKOkKBE7I675Y7pb04oqIEjvRjVHnEDVvtaJYHmrRNOzaerG5kMInCZhk2gRsjcxMaffhD5Ihb8tCNFYb2ZTcsAda_PvCtwWFDcxu-jiQb-PWrsQAhM1CWxwAa0XfentcJJ9d5kR6ozlgpfbaY-lhmDbtbX4b-02Aq2_x2vG2QmSw2q4GV5fa28e8Mw0JUZYVifEb1j5EF5dpocz_JzN_h9f9q6yD62bliCI2Qn8sSxI1ALsM2BHhc3tCZXfUvus-WgnICQyLEz9Oan8n-fOPCxJcdkCq6jfjLHgnRt4y82IoqSr-Mq1N9dYi-bTeKHFiYNT-OgsRXwfpjlOWs9Hp0MP0L59s9qf9yUafqkVx1K7RkX1suwyiSufCyUYAdZha_J0BTnJFu2TO1inkTvHS3ay76HeOVq5qF7kQYFYf0guPYlPh1Bgs34rXkwXCr-Qy5nrQSazvRNe87_GhvJ-wPb_9CW-RFDSz0aKFPQhJ9Xa6kBaiuESvmwgNZxNq5uU9DYhkWZovjU-1kLNpIrlJGaRivGQi3BKlIRgpW_btsSt5HHagp9wUI9uhL3ejRBwiFCFQQwWCDCk5RUQYS8oHBiweLghfyA54mgJF-aMhKm8sjc=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e537942087d186e3c72262e6b9f1", "index": 1 } ] }, "sampled": true, "timestamp": 1788405065.645586, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 16, "message": { "role": "tool", "tool_call_id": "call_WiPnfULtyMzHwbHJ2HFSn1On", "content": "\"## Event schema\\n\\n### `activation:stepEntered`\\n\\nDescription: Reserved activation journey step entry fact. Reserved event type.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `activation:stepEntered`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `activationId` | string | Yes | Stable activation parent ID. | - | - |\\n| `activationKey` | string | Yes | User-authored activation key. | - | - |\\n| `activationVersionId` | string | Yes | Activation version pinned to the instance. | - | - |\\n| `activationInstanceId` | string | Yes | Runtime instance ID. | - | - |\\n| `stepExecutionId` | string | Yes | Step execution row ID. | - | - |\\n| `stepId` | string | Yes | Step ID inside the activation graph. | - | - |\\n| `stepType` | string | Yes | Activation step type. | - | - |\\n| `entryType` | string | Yes | scheduled or triggered. | - | - |\\n\\n### `activation:stepExited`\\n\\nDescription: Reserved activation journey step exit and transition fact. Reserved event type.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `activation:stepExited`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `activationId` | string | Yes | Stable activation parent ID. | - | - |\\n| `activationKey` | string | Yes | User-authored activation key. | - | - |\\n| `activationVersionId` | string | Yes | Activation version pinned to the instance. | - | - |\\n| `activationInstanceId` | string | Yes | Runtime instance ID. | - | - |\\n| `stepExecutionId` | string | Yes | Step execution row ID. | - | - |\\n| `stepId` | string | Yes | Step ID inside the activation graph. | - | - |\\n| `stepType` | string | Yes | Activation step type. | - | - |\\n| `entryType` | string | Yes | scheduled or triggered. | - | - |\\n| `outcome` | string | Yes | Product outcome selected by the step. | - | - |\\n| `transitionToStepId` | string | Yes | Target step ID selected by the outcome. | - | - |\\n| `transitionToStepType` | string | Yes | Target step type selected by the outcome. | - | - |\\n\\n### `ad:impression`\\n\\nDescription: Normalized ad-impression event used by the acquisition reporting dashboard.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `ad:impression`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `placement` | string | No | Ad placement reported by the acquisition feed. | - | - |\\n\\n### `app:uninstalled`\\n\\nDescription: Mobile uninstall event from the AppsFlyer lifecycle feed.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `app:uninstalled`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `reason` | string | No | Lifecycle reason supplied by the mobile feed. | - | - |\\n\\n### `browsing:pageview`\\n\\nDescription: Captures a customer viewing a resource.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `browsing:pageview`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `resource` | string | Yes | URL or resource viewed, e.g. /pricing. | - | - |\\n\\n### `commerce:order`\\n\\nDescription: Captures a completed order.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `commerce:order`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `amount` | number | Yes | Total order amount. | - | - |\\n| `currency` | string | No | Currency code, preferably ISO 4217, e.g. USD. | - | - |\\n| `orderId` | string | No | Order identifier. | - | - |\\n| `skus` | array | No | List of SKUs included in the order. | - | - |\\n| `tax` | number | No | Optional amount of tax included in the total amount. When present, amount is interpreted as gross. | - | - |\\n| `taxCurrency` | string | No | Currency code for tax amount. | - | - |\\n\\n### `commerce:order-refunded`\\n\\nDescription: Captures a refund on an order.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `commerce:order-refunded`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `amount` | number | Yes | Amount refunded to the customer. | - | - |\\n| `orderId` | string | No | Order identifier. | - | - |\\n\\n### `experiment:assigned`\\n\\nDescription: Reserved experiment assignment and exposure fact. Reserved event type.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `experiment:assigned`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `experimentId` | string | Yes | Experiment ID. | - | - |\\n| `versionId` | string | Yes | Experiment version ID. | - | - |\\n| `variantId` | string | Yes | Assigned variant ID. | - | - |\\n| `assignmentIdentifierPath` | string | Yes | Experiment assignment identifier path. | - | - |\\n| `assignmentIdentifierValue` | json scalar | Yes | Resolved assignment identifier value. | - | - |\\n| `contextValuesJson` | object | No | Contextual bandit context values when applicable. | - | - |\\n\\n### `experiment:converted`\\n\\nDescription: Reserved system-derived experiment conversion fact. Reserved event type.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `experiment:converted`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `experimentId` | string | Yes | Experiment ID. | - | - |\\n| `versionId` | string | Yes | Attributed version ID. | - | - |\\n| `variantId` | string | Yes | Attributed variant ID. | - | - |\\n| `metricId` | string | Yes | Metric ID. | - | - |\\n| `conversionType` | string | Yes | binary or continuous. | - | - |\\n| `sourceEventId` | string | Yes | Source event that matched the metric. | - | - |\\n| `assignmentEventId` | string | Yes | Exposure event used for attribution. | - | - |\\n| `attributedValue` | number | No | Continuous source-event contribution. | - | - |\\n| `countedAt` | datetime | Yes | When the conversion was derived. | - | - |\\n| `attributionReason` | string | Yes | Reason attribution selected the assignment. | - | - |\\n\\n### `mobile:attribution`\\n\\nDescription: Canonical Hospital Tycoon mobile attribution occurrence.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `mobile:attribution`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `campaignId` | string | Yes | Attributed AppLovin campaign. | - | - |\\n| `conversionType` | string | Yes | AppsFlyer conversion class. | - | - |\\n\\n### `prestige:started`\\n\\nDescription: Hospital Tycoon prestige recovery conversion event.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `prestige:started`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `treatment` | string | No | Prestige treatment completed. | - | - |\\n\\n### `purchase:completed`\\n\\nDescription: Hospital Tycoon purchase completion used by the monetisation dashboard.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `purchase:completed`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `amount` | number | No | Purchase amount in the app currency. | - | - |\\n\\n### `raw:ad-impression`\\n\\nDescription: Legacy ad-impression envelope retained for acquisition reporting.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `raw:ad-impression`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| - | - | - | - | - | - |\\n\\n### `raw:mobile-push`\\n\\nDescription: Generic raw mobile Push envelope from AppsFlyer.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `raw:mobile-push`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `body` | object | Yes | Uninterpreted AppsFlyer body. | - | - |\\n| `\\u251c\\u2500 appsflyer_id` | string | Yes | - | - | - |\\n| `\\u251c\\u2500 campaign` | string | Yes | - | - | - |\\n| `\\u251c\\u2500 campaign_id` | string | Yes | - | - | - |\\n| `\\u251c\\u2500 event_time` | datetime | Yes | - | - | - |\\n| `\\u251c\\u2500 event_type` | string | Yes | - | - | - |\\n| `\\u2514\\u2500 organic_status` | string | Yes | - | - | - |\\n| `headers` | object | Yes | Inbound request headers. | - | - |\\n| `method` | string | Yes | Inbound HTTP method. | - | - |\\n| `query` | object | Yes | Inbound query parameters. | - | - |\\n| `webhookId` | string | Yes | Inbound webhook identity. | - | - |\\n\\n### `sendgrid.event`\\n\\nDescription: Raw events received from a SendGrid Event Webhook source integration.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `sendgrid.event`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| - | - | - | - | - | - |\\n\\n### `tutorial:completed`\\n\\nDescription: Hospital Tycoon tutorial completion used by the onboarding dashboard.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `tutorial:completed`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| `lessonId` | string | No | Completed tutorial lesson. | - | - |\\n\\n### `ward.rush.started`\\n\\nDescription: Hospital Tycoon ward-rush operations event.\\n\\n| Property | Type | Required | Description | Schema | Common values |\\n|---|---|---:|---|---|---|\\n| `eventType` | string | Yes | Must be `ward.rush.started`. | - | - |\\n| `identifiers` | object | Yes | Object mapping registered identifier names to string values. Must include at least one identifier. | - | - |\\n| `timestamp` | datetime | Yes | Strict ISO 8601 UTC string ending in `Z`; Unix timestamps are rejected. | - | - |\\n| `properties` | object | No | Event-specific properties for this event type. | - | - |\\n| - | - | - | - | - | - |\"", "name": "fetch_schema" }, "sampled": false, "timestamp": 1788405091.658617, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 17, "message": { "role": "tool", "tool_call_id": "call_yWpMa6Hn0WmbmrCteqx0Rw7e", "content": "{\"mobileApps\":[{\"mobileAppId\":\"mapp_kmqzvtrpxw\",\"name\":\"City Fitness\",\"platform\":\"android\",\"status\":\"active\",\"updatedAt\":\"2025-12-01T09:00:00Z\"},{\"mobileAppId\":\"mapp_vqzmxktrpn\",\"name\":\"City Fitness iOS\",\"platform\":\"ios\",\"status\":\"active\",\"updatedAt\":\"2025-12-05T09:00:00Z\"},{\"mobileAppId\":\"mapp_2p7m4v\",\"name\":\"Hospital 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A stored secret can hold a copied provider credential for\\u2026\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"},{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"event transformation JSONata source event to canonical event identifiers properties timestamp\",\"activation condition experiment assignment triggered entry\"],\"score\":4.67,\"snippets\":[\"Triggered evaluation happens after identity resolution, event transformation outputs, and calculated customer propertie\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"activation condition experiment assignment triggered entry\",\"activation experiment treatments API call\"],\"score\":2.22,\"snippets\":[\"\\u2026ary custom event-property registration. 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An endpoint has a GET or POST URL, optional authorization toke\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Push API endpoints\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405133.86706, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 43, "message": { "role": "assistant", "reasoning_content": "**Fetching documents and webhooks**\n\nI need to fetch documentation for the webhook. I think the webhook ID might be something like \"htyraw4517,\" but that might not be the full ID. The push endpoint is likely a direct source, which means I may not need to deal with the webhook object. The endpoint URL connects to the webhook, and fetching the list of webhooks could show what I need. Okay, I’ll look into the docs for more clarity.", "tool_calls": [ { "id": "call_bxauFInf8CV56xrVmexDbZte", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:appsflyer/push-api.md\"}" }, { "id": "call_BtiGXqsQFQ6tPVKxQBDX8JaX", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:activations/triggers-and-time.md\"}" }, { "id": "call_ASV4ivJjcWv33VBv3QsRQER2", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:experimentation/reserved-events.md\"}" }, { "id": "call_eaacGWEWBIK976bohponbjYc", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:cdp/settings/platform-settings.md\"}" }, { "id": "call_CQmFfaUNn0fm6Xi4jrmcavZO", "type": "function", "name": "list_all_webhooks", "arguments": "{\"status\":\"\",\"includeArchived\":true,\"continuationToken\":null,\"pageSize\":100}" }, { "id": "call_sMYzKsUDmX66gKvTmQvkEwii", "type": "function", "name": "fetch_activations", "arguments": "{\"activationId\":\"act_6n2p9x\",\"key\":\"\",\"activationVersionId\":\"ver_8n3p5r\",\"includeArchived\":false,\"includeAllVersions\":true,\"includeFrozenSnapshots\":true,\"versionStatus\":\"active\",\"containsStepType\":\"CALL_API\",\"archived\":false}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Fetching documents and webhooks**\n\nI need to fetch documentation for the webhook. I think the webhook ID might be something like \"htyraw4517,\" but that might not be the full ID. The push endpoint is likely a direct source, which means I may not need to deal with the webhook object. The endpoint URL connects to the webhook, and fetching the list of webhooks could show what I need. Okay, I’ll look into the docs for more clarity.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOWMysfiC59S9mCz04zZ5AD0UPF1Z2JwxIxsx-yC9YnBkDfLCSH0dpzyvZ_Yh3qTZ4plswbeTgOApFdum0UxI3uVOKps3kaJ5ISnYyPU76RAk7sknsnKnec7PJIZI9U0u74dhYRR3rQ4bsOZyOO2_DYtzjq8k-iN_SB5cqmkxyrdizYp5lGD3uU3P5MEtRHiKHdfFxUS9XOVJ8czBYvjcgCmeQFL50BoTKbb8DcrPbdQ0YEI_YeKptj6JaA3_KTapPpmY822nQzzG7zN1ZZOA4MgGuzaXjzC4P5oYJua9lYvbw9nElT135YL901bXz2qbAGutrfqcwy1IiP7rWSsIrLRzZib4nvUulIHK-aDpTWD2QerbdJhmFAJJp3T93p2bWclCOGk_W__IOuyDCvNFDoYpFKGE8FJBu1-9WY9Z-Q3ifMfbjr4SlsciEzxcBQboubbUGKnAtM08_GWlw5Mx7BWkAEBcRC2szDgb8gXeY9RbvuzuGYsiJ8RW8wMXRpxqy3QkfUN6tQM9BoFALyIO5KrQXvQBQk_oNXzwNvlw9twcGqbsAEp9CrQ_wA9DH1XVm_CcuuXm9jyKHQgsgJ0rhDluFkLT_ZZy1HW_qA7SgsN2iLk_f8s3e-TVWFI4jjW45sgZGQL8r3SHJ9FxkynNOo6hvM21-gGpoQeh3tFNsyOWvYHFr2eOtsIDcHGFgbyqkXOpMsP-vK59ENLluMl25cZPgka_lpL9E4Q4TxyjDYpP_5aYV-234m9X1Rj6u_gKZ0ncGKaGbpsIAWVwlwsELCWiSZ_-_Q6EunkvjfzIQCpfSlq-LOihnPWOt3JGSHsfVAqeLU_70uMNlvS_hr7bgNrjU4kg_XzWWc3avcUv_UkQFIXlmuWMr03rWyoheddlDTSmVGH888s-qI0tRNDehTGG53oDwEsgFdOPwDt9kuQaXG0yn9wZmmgWWicrrCHDKvE7R0St67Kn7Ytp2WAjxLve5xUlsAa-mTJVlScsvCudPcEg5Nbtfr5BlyW1Y2oZay6-CtHo1z5xnridXcttRPWnToiNEbj0RxS8yLef6lyED4jCv61rqWQvr0xkej_EsNkJ-V9KbcQC1DkYxVLJHTMfaA_6KrBwudcnEChNg9dKbGHpQYXczaNUfaQSSX_7I0qy-KtYkvKhVQXKl9Ykxv54hCNCZPkfUrIi3Y5bGFjy5nQVlVpx2mVh3J7vCiCeDYodUn0aSdeTz-6Cb-h5YXhOlJPB2II0gLFUmJDiIqGsdepWCeBGfwwgrIufq3WkksggPDm706B5Mr9ANpmTs678k5jQOlhOdJLyfvpyLPsOHJCHeadICMwF2olD_4MtGnNsFjPU-KIcSAdBHMIol97s36UesgQCVBA674YXdEGaHz33ZHZmU9vXT3vZQpZe2tv-G-3KJ4w3NmB19DJ4BZX40gsVBqyG1KenxuscApGYw5PmtOHe-ytgCHjRmL7LGqLINGv5rld2cY4YgB1MS_P1BXgiEFfQ4WrT9bT_Rz2Vsw-8LNTLZ7_Bc9LWqcLHPwL5tQ0JNBd-MKt3qmINTwtG7gjGX9uDyBloRiompWC3t-h7ASpwWo_NmeqYr2qIdNHYDsGKsDeQDAwJH_qGtaTIGbHxFEzoH8Xs8OcPITbt4kXFGQfBAjC6C1dkFPbYwWYDEU1vbVXknSRHk0CRjQlCxCnc4JGe3CclgRNS8ug1DcvUY1OqSoC6Hg4mG4H4oDk.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e585c0a487d19442ba83db201e2f", "index": 1 } ] }, "sampled": true, "timestamp": 1788405133.867251, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 44, "message": { "role": "tool", "tool_call_id": "call_bxauFInf8CV56xrVmexDbZte", "content": "{\"document\":{\"content\":\"# Push API endpoints\\n\\nEach AppsFlyer app can have at most six non-archived Push endpoints. An endpoint has a GET or POST URL, optional authorization token, output fields, message selections, and `draft`, `active`, `paused`, or `archived` lifecycle. Archiving frees a slot and preserves historical deliveries.\\n\\nThe six selectable message classes are install, re-engagement, re-attribution, install in-app events, re-engagement in-app events, and re-attribution in-app events. Choose organic and/or non-organic scope for each applicable row. For in-app rows, select `all` or at most 52 named events. AppsFlyer always includes `appsflyer_id`, `event_name`, `event_time`, `event_type`, `media_source`, and `campaign`; selected fields are added.\\n\\nTesting and production are distinct. A test sends a diagnostic payload through the receiver's diagnostic path with a shorter timeout and omits the configured authorization token. A future production occurrence sends the configured token and is subject to normal receiver authentication. Test records never count as production delivery, and neither tests nor activation backfill earlier occurrences.\\n\\nPush delivery reports provide bounded CSV exports of test and production attempts. Authorization values are masked. Structured request bodies and responses appear as JSON strings inside escaped CSV cells. Overlapping valid message selections can produce multiple deliveries; AppsFlyer does not ask the receiving system to deduplicate them.\\n\\n## Related pages\\n\\n- [AppsFlyer apps and credentials](apps-and-credentials.md)\\n- [Raw-data report exports](raw-data-reports.md)\\n- [Mobile S2S events](mobile-s2s.md)\\n\",\"createdAt\":\"2024-11-22\",\"documentId\":\"platform:appsflyer/push-api.md\",\"lastModifiedAt\":\"2025-11-03\",\"path\":\"appsflyer/push-api.md\",\"product\":\"appsflyer\",\"source\":\"platform_docs\",\"title\":\"Push API endpoints\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405150.570019, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 45, "message": { "role": "tool", "tool_call_id": "call_BtiGXqsQFQ6tPVKxQBDX8JaX", "content": "{\"document\":{\"content\":\"# Activation Triggers And Time\\n\\nScheduled activations evaluate a saved `standard` segment at deterministic schedule occurrences. A scheduled trigger requires a segment ID and `startAt`; it may also include `cron` and `endAt`. The start time must be a UTC timestamp ending in `Z`. A scheduled version can be drafted with a past start time, but activation fails if `startAt` is before the current account time.\\n\\nCron schedules use UTC and deterministic cron syntax. If `startAt` itself matches the cron expression, it is the first eligible occurrence; later occurrences follow the same cron normally. The platform accepts ranges, lists, steps, month and weekday names, macros such as `@weekly`, `W`, `L`, `#`, optional seconds, optional year, and deterministic hashed `H` values tied to the activation. Random `R` expressions and `@reboot` are not supported. Timezone-local cron is not supported.\\n\\nScheduled trigger cron creates recurring entry opportunities between `startAt` and optional `endAt`. For day-of-month step schedules such as `0 9 */10 * *` or `0 9 */14 * *`, the step is anchored from `startAt`, so it can represent every 10 days or every 2 weeks from the schedule start instead of resetting at each calendar month.\\n\\n`WAIT_UNTIL` cron is different from scheduled trigger cron. It computes one UTC deadline for the current activation instance, strictly after the time the customer entered that wait step. For example, `0 9 * * MON` waits until the next Monday 09:00 UTC once and then exits through the `OK` transition.\\n\\nTriggered activations evaluate an inline trigger expression after a newly accepted visible behavioral event is materialized. The expression can use `event.*` fields from the event that caused evaluation and `customer.*` fields from the current materialized customer profile. Triggered activations do not reference saved segments.\\n\\nTriggered evaluation happens after identity resolution, event transformation outputs, and calculated customer properties are refreshed. Historical records reconciled by event stream reprocessing do not trigger activations again. Reserved internal events such as experiment assignment and conversion records are not activation triggers.\\n\\nIf a triggered expression matches an event that has not resolved to a canonical customer, no journey instance starts. The skipped evaluation is still visible in activation run queries so teams can distinguish anonymous activity from a trigger that did not match.\\n\\nThe account clock drives scheduled occurrences and wait completions. When account time advances, the platform processes work due at or before the new time. Waits and action logs use the time at which the work became due, not wall-clock time.\\n\\nCondition steps reached after a wait evaluate against the customer profile and visible accepted event history at the wait completion time. `customer.events` direct list checks can see qualifying events submitted during the wait, but events timestamped after the condition time are not included.\\n\\nRestart mode controls re-entry when the same customer qualifies while they already have a running or waiting instance for the activation. `restart` cancels existing active instances and starts a new one. `ignore` records an ignored entry attempt when an active instance already exists. `parallel` always starts a new instance.\\n\\n## Related pages\\n\\n- \\\"Activations Overview\\\"\\n- \\\"Activation Graph Steps\\\"\\n- \\\"Evaluate Segments\\\"\\n\",\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405150.570196, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 46, "message": { "role": "tool", "tool_call_id": "call_ASV4ivJjcWv33VBv3QsRQER2", "content": "{\"document\":{\"content\":\"# Reserved Experiment Events\\n\\nExperiment assignment and conversion facts are CDP events with platform-defined\\nbehavior.\\n\\n`experiment:assigned` is the exposure fact emitted by product instrumentation or\\nan upstream assignment system when a customer qualifies for an active experiment\\nversion and receives a variant. The platform treats accepted assignment facts as\\nauthoritative. Assignment events can use any registered CDP identifier,\\nincluding low-confidence identifiers such as `cookieId`.\\n\\nRequired assignment properties:\\n\\n- `experimentId`\\n- `versionId`\\n- `variantId`\\n- `assignmentIdentifierPath`\\n- `assignmentIdentifierValue`\\n\\nContextual bandit assignments also include `contextValuesJson`, mapping the\\nconfigured context paths to the values used at assignment time.\\n\\nAssignment events do not include version number, deterministic bucket, or\\nrandomisation seed. Their timestamp must be within the experiment run window.\\nThe platform validates references and structure, but it does not re-run\\nallocation or eligibility checks during ingestion.\\n\\n`experiment:converted` is system-derived audit data. It cannot be submitted\\ndirectly through customer-data ingestion. The platform emits it synchronously\\nwhen an accepted ordinary behavioral event matches an exposed experiment's\\nmetric definition.\\n\\nRequired conversion properties:\\n\\n- `experimentId`\\n- `versionId`\\n- `variantId`\\n- `metricId`\\n- `conversionType`\\n- `sourceEventId`\\n- `assignmentEventId`\\n- `countedAt`\\n- `attributionReason`\\n\\nContinuous conversions also include `attributedValue`.\\n\\nAnonymous assignment can be accepted before a canonical customer exists. Raw\\nidentifier matching and later identity stitching can connect the assignment to\\nsource events; conversion recomputation deduplicates by source event,\\nexperiment, and metric. Use `experiment:assigned` for assignment audit and\\ninspect `experiment:converted` for attribution audit events.\\n\\n## Related pages\\n\\n- \\\"Event Transformations\\\"\\n- \\\"Success Metrics and Conversions\\\"\\n- \\\"Experiment Lifecycle\\\"\\n- \\\"Reserved Platform Events\\\"\\n\",\"createdAt\":\"2025-05-11\",\"documentId\":\"platform:experimentation/reserved-events.md\",\"lastModifiedAt\":\"2025-07-04\",\"path\":\"experimentation/reserved-events.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Reserved Experiment Events\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405150.570312, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 47, "message": { "role": "tool", "tool_call_id": "call_eaacGWEWBIK976bohponbjYc", "content": "{\"document\":{\"content\":\"# CDP Suite Settings\\n\\nThese settings belong to the CDP, Journeys, and Experimentation product suite. They contain suite-level defaults and shared secrets used by Journeys and integrations. They do not include provider-account settings from products such as AppLovin, AppsFlyer, or SendGrid; those products manage their own configuration independently.\\n\\nSettings are grouped by suite capability. CDP settings live under `cdp`; segmentation settings live under `segmentation` when supported.\\n\\nThe current settings shape is:\\n\\n```json\\n{\\n \\\"cdp\\\": {\\n \\\"merge_strategy\\\": \\\"keep_newest\\\"\\n },\\n \\\"segmentation\\\": {},\\n \\\"secrets\\\": {}\\n}\\n```\\n\\n## CDP settings\\n\\n`merge_strategy` is the default merge strategy for customer attributes that do not specify their own `mergeStrategy`. Supported values are `keep_newest` and `keep_oldest`.\\n\\n`keep_newest` keeps the value from the newest customer update timestamp. If timestamps tie, the later accepted update wins, then the deterministic update record ID breaks any remaining tie.\\n\\n`keep_oldest` keeps the value from the oldest customer update timestamp. If timestamps tie, the earlier accepted update wins, then the deterministic update record ID breaks any remaining tie.\\n\\nChanging `cdp.merge_strategy` also updates all currently defined customer attributes to the new strategy. This means an application-level settings change may override custom merge strategies that were previously set on individual attributes.\\n\\nWarning: Updating this setting rebuilds customer state for all existing customer records. This platform-level merge strategy setting is the only way to retroactively fix customer state that resulted from merge strategies. Property-level merge strategy changes do not trigger a customer state rebuild for the entire customer base.\\n\\n## Suite secrets\\n\\n`secrets` is an optional map of write-only suite secrets for bearer tokens and API request bodies. A stored secret can hold a copied provider credential for a Journey or integration, but it does not read or change the provider product's account settings. Secret names must be JSONata-friendly identifiers such as `BRAZE_API_KEY`, `RESEND_TOKEN`, or `_INTERNAL_WEBHOOK_TOKEN`.\\n\\nCreate or overwrite a secret by setting the secret name to a string value:\\n\\n```json\\n{\\n \\\"secrets\\\": {\\n \\\"BRAZE_API_KEY\\\": \\\"rest-api-token\\\"\\n }\\n}\\n```\\n\\nUse an object when you want to store a non-secret description:\\n\\n```json\\n{\\n \\\"secrets\\\": {\\n \\\"BRAZE_API_KEY\\\": {\\n \\\"value\\\": \\\"rest-api-token\\\",\\n \\\"description\\\": \\\"Braze REST API key\\\"\\n }\\n }\\n}\\n```\\n\\nSettings reads never return secret values. They return each secret name with its optional `description` and `updatedAt` timestamp.\\n\\nTo delete a secret, set the secret entry to `null`, or set the object's `value` to `null`:\\n\\n```json\\n{\\n \\\"secrets\\\": {\\n \\\"BRAZE_API_KEY\\\": null\\n }\\n}\\n```\\n\\n## Related pages\\n\\n- \\\"Schema Registry\\\"\\n- \\\"Event-stream destinations and mappings\\\"\\n- \\\"Activation Email, API, And Experiment Actions\\\"\\n\",\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405150.570409, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 48, "message": { "role": "tool", "tool_call_id": "call_CQmFfaUNn0fm6Xi4jrmcavZO", "content": "{\"nextContinuationToken\":null,\"webhooks\":[{\"acceptedMethodCount\":1,\"hasAuthorizationToken\":true,\"name\":\"Mobile partner receipts\",\"revision\":1,\"status\":\"active\",\"updatedAt\":\"2025-12-02T10:20:00Z\",\"webhookId\":\"webhook_qwzmxrktpc\"},{\"acceptedMethodCount\":1,\"hasAuthorizationToken\":false,\"name\":\"Finance sandbox receiver\",\"revision\":2,\"status\":\"paused\",\"updatedAt\":\"2026-05-10T10:00:00Z\",\"webhookId\":\"webhook_dqzmxktrpn\"},{\"acceptedMethodCount\":1,\"hasAuthorizationToken\":true,\"name\":\"Hospital Tycoon mobile receipts\",\"revision\":1,\"status\":\"active\",\"updatedAt\":\"2026-07-20T11:00:00Z\",\"webhookId\":\"whk_7m4q2r\"},{\"acceptedMethodCount\":1,\"hasAuthorizationToken\":true,\"name\":\"Hospital Tycoon tutorial receipts\",\"revision\":2,\"status\":\"archived\",\"updatedAt\":\"2026-07-01T09:00:00Z\",\"webhookId\":\"whk_2p7m4v\"},{\"acceptedMethodCount\":1,\"hasAuthorizationToken\":false,\"name\":\"Google Ads lead intake\",\"revision\":1,\"status\":\"active\",\"updatedAt\":\"2026-07-22T12:00:00Z\",\"webhookId\":\"webhook_google_ads_lead_forms\"}]}", "name": "list_all_webhooks" }, "sampled": false, "timestamp": 1788405150.570506, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 49, "message": { "role": "tool", "tool_call_id": "call_sMYzKsUDmX66gKvTmQvkEwii", "content": "{\"activations\":[{\"activationId\":\"act_6n2p9x\",\"archived\":false,\"archivedAt\":null,\"createdAt\":\"2026-06-10T09:00:00Z\",\"createdBy\":\"mira\",\"description\":\"Existing ward-rush reporting route.\",\"key\":\"hospital_ward_rush_reporting\",\"name\":\"Hospital Ward Rush Reporting\",\"updatedAt\":\"2026-07-20T09:00:00Z\",\"versions\":[{\"activatedAt\":\"2026-06-10T09:05:00Z\",\"activationId\":\"act_6n2p9x\",\"activationVersionId\":\"ver_8n3p5r\",\"createdAt\":\"2026-06-10T09:00:00Z\",\"createdBy\":\"mira\",\"disconnectedAt\":null,\"frozenSnapshot\":{\"apiConnections\":{\"api_4m8k2d\":{\"apiConnectionId\":\"api_4m8k2d\",\"archived\":false,\"archivedAt\":null,\"authType\":\"bearer\",\"bearerTokenSecretName\":\"HTY_PRESTIGE_ROUTER_TOKEN\",\"bodyMode\":\"jsonata\",\"createdAt\":\"2026-06-10T09:00:00Z\",\"endpoint\":\"https://ops.hospitaltycoon.co/v1/ward-rush/report\",\"key\":\"hospital_ward_rush_reporting\",\"method\":\"POST\",\"name\":\"Hospital Ward Rush Reporting\",\"updatedAt\":\"2026-07-20T09:00:00Z\"}}},\"restartMode\":\"parallel\",\"status\":\"active\",\"steps\":[{\"stepId\":\"START\",\"transitions\":{\"OK\":\"report\"},\"type\":\"START\"},{\"apiConnectionId\":\"api_4m8k2d\",\"stepId\":\"report\",\"transitions\":{\"ERROR\":\"TERMINAL\",\"OK\":\"TERMINAL\"},\"type\":\"CALL_API\"},{\"stepId\":\"TERMINAL\",\"transitions\":{},\"type\":\"TERMINAL\"}],\"terminatedAt\":null,\"trigger\":{\"mode\":\"triggered\",\"triggerExpression\":\"event.eventType == \\\"ward.rush.started\\\"\"},\"updatedAt\":\"2026-07-20T09:00:00Z\",\"versionNumber\":1}]}]}", "name": "fetch_activations" }, "sampled": false, "timestamp": 1788405150.5706081, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 50, "message": { "role": "assistant", "reasoning_content": "**Planning event flow**\n\nI need to establish a direct event flow and ensure that I have a likely update push with reattribution. It sounds important to create a complete transformation syntax output for events. I reckon I should learn more about the transformation documents to get a better grasp. I might need to search or fetch the exact documentation to help me out with this. Definitely something to focus on!", "tool_calls": [ { "id": "call_xfCzKiSlt3k60FWzndH5ymph", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"Event Transformations JSONata syntax output event identifiers source properties body\",\"JSONata transformation output complete event object null deduplication\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Planning event flow**\n\nI need to establish a direct event flow and ensure that I have a likely update push with reattribution. It sounds important to create a complete transformation syntax output for events. I reckon I should learn more about the transformation documents to get a better grasp. I might need to search or fetch the exact documentation to help me out with this. Definitely something to focus on!", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOWbMEgc60be8oTIYaiOAYX-x7cz5EQ5DevBPt7ZOrhtt5LOceSz2oG-RgZ1Ifj6E4cggoyg3-cgCxtdN8Qcuned4iFG8JGJTKY6xkVl627usmAjfGQj1NoMkDgRvOC0vJ9CS3WGYpv9om7u4rfQAaNw2cxU62yQFelzlHGdIheKVF3x0hjpZUkmev1CRRTxkMGVHck2PUblxRUXCHFrpAnJPGrXG-BL0ibvvjd2tUDrMtsIEfVyKiSw_f1JXTQrK5FYNfqiUB9-bisjL1q_NvmDHfPTVyyaK6e4v1F8YNmxafIgRJgJ3g-lm7x1GkdA-UKlBzOql5-M4JU2h9T8e8oxpZ-DdwvyhqJOs4Ct8eBnsNljwLh90vWwLEkhb-O6n-7hcnKrz0X37_ajX1ec-pdySlOidf5cLPBaqhDCjMs0TdZTwctZkufGluEOTkye_-vgX7OOz7rWMRdOSxu2sY_a1gK6iTlzlt8e4plDdp8I__uju1UN_dPZKJs091GaP1o28t6gk1d5XsiNwUtP1Nw7m3AXxihErwk3CizY_QHSvfn5yUAYNNvgo57zL3yvAIVg6Irm75P0ckhvUBZNouxUkIvzdn-80XGuoyThxK-wDEg3C6EZdqN5qcOMt1-mmIBk2ljZs7b6QjYQ1xAkdfISN6qQKRsv4gx8NxbF6N0hSBjjtN76WwUiwAfZGeG4WMMDn8K_vpUDzz6dkz3NH2i3cVudu3o2p_h_rG9QELp6qDujzQkyC-fYvgEKTE9Mx81cU3I2aNTS_PBSd2_EiFORisJGMFeYdLfbqfti-Q3gMjd4P0owAY6kM1ltRPHe99EfrZIf0MwyJbIRmE81OYxVh703FjO42vPhMnkvcdqTpU2ejjjR8E6_hg1FR2M50aGz3kZ0p0sxRAsmpWzUuMzJ8bEju7aWEMOe9Dd5rnDyVmyJAuskd9aVOSsBw9fzPhufigI1ibV51q7ruakiM_HWYrJBtn0_V3eR2eFtAMvIKnbQNuPW35P3znYsb2cM6wofuOYvOIbzGhqfknamu8Hc5loclcFNL83Fk_uc1xWNKJljNxIA_uRzx0XoSys098vozKoS5J8Yv-LB7TNvHzz4d578YaY39A_X-IjnaFrN8Ar0vbw5g-6Bo8tmlzESXIWv1TtkEQ0Yn5Yt9jlAsaxU9nNKdzvVx9uiwSJAnGHG2TXaCobz_mMImHJXr1CyZmwhzorpOmrbUKa8YOv_7SQloL3Wyg39RUoRSPyVxKeQZdxbsffrpeocWsPT2oDxHqbwo_H8nqkeeqUqpOGCOVakVHqGz--5g7s6gmInzYDzpB71npZh-IRF2rIIskK2Ei-4ODqm2wdBuQEzE8G_uVgCoY_BCGeRQ4zDdn4zWBo4BsQndk-lh8gLsEiKdHBGr9xIM-SWdaq7HIVU2icylKn6Nrv_akBAu888TCJl_fq8fIB6WBM-6qX6XcV_cXJ0nROAxdeq858mzn7ILsZngTKZ2OpeDxow3fx3QP6ZudJi93AWNN59nBTOq5IruxevZufLBAn34H2A4QseyWAACInxvaP9LkZKBp3QhyW2amBdiYFRMgVwkWaLmdBB3Exb51Wm6G-k94Ql8c3kvvdDs6SO9LV7rQv-BekEC2TsSFyeeRg=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e598784087d18cbf63ecb6574d82", "index": 1 } ] }, "sampled": true, "timestamp": 1788405150.5706902, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 51, "message": { "role": "tool", "tool_call_id": "call_xfCzKiSlt3k60FWzndH5ymph", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-12-08\",\"documentId\":\"platform:experimentation/success-metrics-and-conversions.md\",\"lastModifiedAt\":\"2025-12-08\",\"path\":\"experimentation/success-metrics-and-conversions.md\",\"product\":\"cdp\",\"queries\":[\"Event Transformations JSONata syntax output event identifiers source properties body\"],\"score\":1.66,\"snippets\":[\"Use direct event paths such as `event.amount`, not `event.properties.amount`. 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To do this, I need to understand the payload event shape based on the raw schema. It seems like the source event is accessible as event.body. \n\nI’ll need to utilize JSONata syntax with an object that includes mobile attribution details like appsFlyerId and timestamps from event.body. It looks like the canonical identifier registered may be named appsFlyerId, so I'll fetch the identifier schema as well.", "tool_calls": [ { "id": "call_dCZaeyu884FKmh0cyLVH0nxF", "type": "function", "name": "fetch_schema", "arguments": "{\"type\":\"identifier\"}" }, { "id": "call_f9aTTpok1YiD9mIERk1Ce3J7", "type": "function", "name": "fetch_schema", "arguments": "{\"type\":\"customer\"}" }, { "id": "call_bETKMFjoUBmeJ6gjiKgd5f7r", "type": "function", "name": "fetch_schema", "arguments": "{\"type\":\"customer_aggregate\"}" }, { "id": "call_knvv1vLIxj15HYu45cUl6YVZ", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" }, { "id": "call_GrSz0JtLMWLiEyzeB3Y0Wkij", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" }, { "id": "call_x8yVOpExethSueZwdC3p59sF", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Testing data transformation**\n\nI’m considering using a preview transformation to test my guesses. To do this, I need to understand the payload event shape based on the raw schema. It seems like the source event is accessible as event.body. \n\nI’ll need to utilize JSONata syntax with an object that includes mobile attribution details like appsFlyerId and timestamps from event.body. It looks like the canonical identifier registered may be named appsFlyerId, so I'll fetch the identifier schema as well.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOW3-2LhCTEx4amhP-hNdNpqJrENAN-yExA-KJRdSAM27E2T0sDVkkbIY_zqB9Qkw6Pj5UT3ML5DmWDz7K4fSqnX5_8fuiQ-OgNozzRueeUhO6G5tiFrc2DUVP2ixhTfcIDb4mYtmHTzpvteneDZwxHnOXbIHwYBvu89rKJJI8mv8YK_rivtzCb0nzBDxuFw2OFdXcr7iiAr78suIko2n1GoZEiuzfccP3X1rtsDtY5xRIwtAs7BKEMCyxgcfQbwyZ9rp0FRcssxnIWTE4g_i70upwuSTpKAxuej62bRWngjk71heFqIVxIGSu3qMr0Fhr8LCq_qsO5sPU7Gms4jpzOhb4nrZBiIvhyXLNXo9v1h-V2qhZ8-RXlNrApEDlLSuetoM3oO-cXoQmKVJpPR0Iy7NIPf9v4nkvrbtaoXQSm5illWQLtKWgzk6-_Ofh1NH87xVQdp8AnR0F-xiFZRnJJ6SCwRy91iXQmiim3WZvrJSD3gDTOVI_NU-obU8y7tixLUcnOFJGbN7CcECvMM6Z53SF7S8nChN3LljSUaMFCSdhrGUYeGRD6nZH6Q2uB4rlDN82pJrTyv4SvYRWHwuGxoWwFWIQHZIKsv2jkYaHmT2crLvXACXsfpaT7gtClrmT3967i1ynXShdUW4NRXiXO3wxE7KovjihFRYaoDDtGwrHOz2EGwqDkPfQbOR-SRrH7qc3qdZNnYEHH-vS_PfBcK7_hOLVKJbkqwFTYcTMn1182EcQQr8867FeBzgRK0tDpFMjk_EWNCnjjwvg-y_ARhiA3oPpe4vECUASm1XDELb3ihagurOONFzy3LK4UCdShkH8Cu8_jTSrk73Z0FmxaGy4YxQWg4HYfme-FiIU5272RWWObPWH3jPvQkdwc0aqHM_Q5UUVVJuNrSUPrEsoMEIJtYxI2XGjAcjT0FRmjYtE7r-f5-umCULQ6TPpOCUP_Awleq56xzNt0h-CSWJXlW8qP-Is0H6mJOFGWzNGv_vGPTbxAholU7QmvMfx7jHK_xxvbXz8H8HeGBkIk_mRWuN83jgztaXv6NVFHPtm71dy7xp_eO_gkF4eLIUn_TPW9iS4Xko530WFede3J-yLwRIvaK2Ops1Z7GLskJhMjtNAaIG_2olgsPKTT3rASKJpC6aCNBI3h9S6qy6oyYVG1jNeUgxo74aheR-8We1Fcr52WB6YWjCz-FtA8IK_icTbqcz9oT40P_MA8ExE-Ha--fFhlnqjUufz5NgUoQ7IKQ_CI8BsTVKfEw4NS2QLmW2AHjo07G4ZB8MyErjhB7iBCv8Brh9BS2-J7TQp3bHs_agdp3BZWYCHp2EMvsxc4dijoK5aIiLhVOF-Z1sKczN8ln9idzAoCI6xj2V2ucgKOT68IKlI0anTVAh0auE5m_5H2i6g2zJHFUX_Kex2zkQuKa0CEqwmuf07tcy_AxjWTd5hGnPG3F45AzINaxoXeNvQUfg79uuMthy80K8U0utBhZs34YcTzRws6sArnv0OCyE4_85VNQQsyP4rcCBHavJ8Z13x256gsG9Lzp2BLdsb5dsOvU4tfN4XPPq18AlAR-3r0woQq_Q01kjRLBkS6Kbf89ewZpGFplcdRkEk_KOdIuSgAWeLchKZd0a3PAQkYvszTXh6iZKRWq3Bo_7LFyQkIsqyHpO6Pw-addze0wMO9G6_akJHFHEUMgR_uPeMlVYOoDFoOLYPyYbUQ3_sGbXam-jBC_EO5xzSKhXdUL28cAgGyS1I_bIkguzVs_whQFLDonXiglk6_ltFXK9pYR6H4XIOH4JYN6J0kP66ErGXLVmRUGToYi4SaGAgzzhL4TwbuP2CApwv95g8Fw9JFLsbdEQLCJYvf1YQNrSiU7GJSYJy5vsXOWOW59GxJsKPAnk4q0W6G6c6a1-EvoyEdcVcdRm1XjaQq8m9vl_UABRJ7Qhz4-RYlGQaKdsJoFveO4RxgXmhx4qoRTVCwKk9Oku8DU8LnNNuoH5OseftkgtRJMQ4fwNoPar4mvA9kX1F5wsgrGQN1vZrG8R6C__we1FWwibJ-ts1lZm8IWJ3UX_dbowXVubMYjk5HAJql9tCkHOoh7Bz5WZMgv3zSMGc8ZUMN8YIBZMnClZfz6_9O90XCEuw==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e5b09fa887d19a57aa62f6289a22", "index": 1 } ] }, "sampled": true, "timestamp": 1788405177.279637, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 55, "message": { "role": "tool", "tool_call_id": "call_dCZaeyu884FKmh0cyLVH0nxF", "content": "\"## Identifier schema\\n\\n| Identifier | Type | Confidence | Description |\\n|---|---|---|---|\\n| `appsFlyerId` | string | high | AppsFlyer device identity for Hospital Tycoon attribution. |\\n| `cookieId` | string | low | Anonymous browser/device identifier. |\\n| `userId` | string | high | Universal user identifier. |\"", "name": "fetch_schema" }, "sampled": false, "timestamp": 1788405190.380811, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 56, "message": { "role": "tool", "tool_call_id": "call_f9aTTpok1YiD9mIERk1Ce3J7", "content": "\"## Customer schema\\n\\n| Attribute | Type | Merge strategy | Description | Schema | Common values |\\n|---|---|---|---|---|---|\\n| `tags` | array | reserved; read-only; system-managed | Short-lived activation tags. Customer updates and schema tools cannot set this field. | `name` string; `ttlDays` number; `addedAt` datetime; `expiresAt` datetime | - |\\n| `playerId` | string | keep_newest | Hospital Tycoon player identifier used by ward operations. | - | player_4m8k2d (1), player_6r4z2h (1), player_7n2q5m (1), player_9k4m2p (1) |\"", "name": "fetch_schema" }, "sampled": false, "timestamp": 1788405190.381516, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 57, "message": { "role": "tool", "tool_call_id": "call_bETKMFjoUBmeJ6gjiKgd5f7r", "content": "\"## Calculated customer properties\\n\\n| Name | Type | Event type | Event filter | Value path | Window | Offset | Status | Last recompute | Customers | Events scanned |\\n|---|---|---|---|---|---:|---:|---|---|---:|---:|\\n| - | - | - | - | - | - | - | - | - | - | - |\"", "name": "fetch_schema" }, "sampled": false, "timestamp": 1788405190.381977, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 58, "message": { "role": "tool", "tool_call_id": "call_knvv1vLIxj15HYu45cUl6YVZ", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"score\":2.48,\"snippets\":[\"\\u2026activations evaluate an inline trigger expression after a newly accepted visible behavioral event is materialized. Th\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"score\":1.2,\"snippets\":[\"```json { \\\"secrets\\\": { \\\"BRAZE_API_KEY\\\": null } } ```\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"},{\"contentAvailable\":true,\"createdAt\":\"2024-10-12\",\"documentId\":\"platform:experimentation/overview.md\",\"lastModifiedAt\":\"2025-06-10\",\"path\":\"experimentation/overview.md\",\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"score\":1.19,\"snippets\":[\"\\u2026ilters are optional. A blank metric or experiment ID/key filter is treated as omitted rather than as an invalid locato\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Experimentation Overview\"},{\"contentAvailable\":true,\"createdAt\":\"2025-03-12\",\"documentId\":\"platform:cdp/schema/identifiers.md\",\"lastModifiedAt\":\"2025-08-20\",\"path\":\"cdp/schema/identifiers.md\",\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"score\":1.16,\"snippets\":[\"\\u2026dentifier to low confidence before more events arrive. A high-confidence identifier can create a new canonical profile\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Identifiers\"},{\"contentAvailable\":true,\"createdAt\":\"2025-12-08\",\"documentId\":\"platform:experimentation/success-metrics-and-conversions.md\",\"lastModifiedAt\":\"2025-12-08\",\"path\":\"experimentation/success-metrics-and-conversions.md\",\"product\":\"cdp\",\"queries\":[\"create event transformation deduplication key expression\"],\"score\":0.91,\"snippets\":[\"\\u2026conversion definitions. A metric has a key, name, conversion type, one source event type, an optional event filter, p\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Success Metrics and Conversions\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405190.382277, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 59, "message": { "role": "tool", "tool_call_id": "call_GrSz0JtLMWLiEyzeB3Y0Wkij", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"score\":3.69,\"snippets\":[\"Condition steps reached after a wait evaluate against the customer profile and visible accepted event history at the wa\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-08\",\"documentId\":\"platform:cdp/schema/schema-registry.md\",\"lastModifiedAt\":\"2025-09-26\",\"path\":\"cdp/schema/schema-registry.md\",\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"score\":1.36,\"snippets\":[\"\\u2026ved read-only customer field managed by activation tag steps. It is an array of tag objects with `name`, `ttlDays`, `a\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Schema Registry\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"score\":1.29,\"snippets\":[\"\\u2026ary custom event-property registration. Experiment exposure and conversion facts, plus activation step entry and exit\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2024-07-25\",\"documentId\":\"platform:cdp/reference/validation-rules.md\",\"lastModifiedAt\":\"2025-01-24\",\"path\":\"cdp/reference/validation-rules.md\",\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"score\":1.28,\"snippets\":[\"\\u2026served for identity-only interactions. `experiment:assigned` and `experiment:converted` are reserved experiment events\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Validation Rules Reference\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-10\",\"documentId\":\"platform:segmentation/segment-definition-syntax.md\",\"lastModifiedAt\":\"2025-08-08\",\"path\":\"segmentation/segment-definition-syntax.md\",\"product\":\"cdp\",\"queries\":[\"activation graph steps CONDITION EXPERIMENT CALL_API\"],\"score\":0.95,\"snippets\":[\"Audience-condition definitions are strings:\"],\"source\":\"platform_docs\",\"title\":\"Segment Definition Syntax\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405190.382499, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 60, "message": { "role": "tool", "tool_call_id": "call_x8yVOpExethSueZwdC3p59sF", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2024-10-12\",\"documentId\":\"platform:experimentation/overview.md\",\"lastModifiedAt\":\"2025-06-10\",\"path\":\"experimentation/overview.md\",\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"score\":4.55,\"snippets\":[\"Experimentation manages A/B test configuration and lifecycle. It does not decide winners, calculate lift, or store assi\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Experimentation Overview\"},{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"score\":1.88,\"snippets\":[\"\\u2026vent stream reprocessing do not trigger activations again. Reserved internal events such as experiment assignment and\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-11\",\"documentId\":\"platform:experimentation/reserved-events.md\",\"lastModifiedAt\":\"2025-07-04\",\"path\":\"experimentation/reserved-events.md\",\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"score\":1.88,\"snippets\":[\"Assignment events do not include version number, deterministic bucket, or randomisation seed. Their timestamp must be w\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Reserved Experiment Events\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"score\":1.21,\"snippets\":[\"\\u2026riment:assigned` | Record an experiment assignment and exposure fact. | Accepted as a reserved experiment event and us\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"queries\":[\"experimentation eligibility condition variants activation assignment\"],\"score\":1.15,\"snippets\":[\"\\u2026ttings belong to the CDP, Journeys, and Experimentation product suite. They contain suite-level defaults and shared se\\u2026\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405190.382716, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 61, "message": { "role": "assistant", "tool_calls": [ { "id": "call_TaKKuzAyWw4U5j4HmKNKwj5b", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:experimentation/overview.md\"}" }, { "id": "call_Mr0ZCwXajWkHIq9wij12lH2W", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:cdp/schema/schema-registry.md\"}" }, { "id": "call_tb0ptBVMEwREEheI1rUSaK1Y", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:cdp/reference/validation-rules.md\"}" }, { "id": "call_Aey9LiOt7sKEnDKjDaVTdCAY", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" }, { "id": "call_N20tsfR8MlMJgaXDfSolORni", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": "gAAAAABqmOXFICGxxaVQDQ--j6RISVhwx2Mhr33qI6nS-jysWsQA__zlTqQep47KIiEHcnM0ufYzlVD5avpCwTpFX31TH-IbqlRiP-FJRNNPQgBroj4uzZalFSZZOtgXx2A4HYMkNQjCOiSa-7ReDDUfDrdK0OSKipyO8DE8s9f5Z65vqtVnk_x-p9O433ktu2W3fO-UkJYtfLf_fACyp2E9EPMlZbyRauAvR-taOgcQor0NAZT6IoBZndppT7_8PPKVvk6f13PyoAkAzjyWB37bm8yIFDutevUs4dbQXnHaOac_jjOwk_BwN03vD5UVN_qRaeKJg8CCrm7HveLQ7ZvMzPJl7MBt14iicFnWfOH6vSnLUTgUzOqQX-VWHH2zud9AySa92HOVbrOIha6wkqjBFLWcL35CRXZECWnnvz4Ead47C58auDiJ4CP-lFgIq9F3c-pTY81qOLU3W3uXtaNugixCscNsayOpDZykCsl65YG1ta11xJCGwffC0Twd_LFt-xlC7F_S0aV0S5jt1WjYYiGAx_YZLS8LyTZjnIdh285Rlglb_QHumjrlc980qv4iRb1m8Rc1rE5DWOarooSizVJEt9h9y9e0SWXG_fMM77DEfG0AsaqfE3ONTCpy79gSzoRKxCFpMf3UvUrFGQ4HrUbRi91ksfoaG1F_A6JQtyKSwFKNrGeZHbtRMYkfe-N3pTFkFpR41SdCHuvOMFqhWtxCugvnP2k3VWsuN1Fi27bkMHU3gySMg5Qjbdn1vCcA6q1oG4ffqFVcLbWE3C8lee-N7zYJR4NoDTwHSE-7M80POgoitFpLLD7ZPA1ft12HWL1zer9Gn0wwOWk8MU6uKZDZELSxV5717kdnjORsploYcroO7nV3Q0IGcrlck0d2A4n4y4GAsJtEO_Suly1jWi4FSItP9PdjyYEvWdz2Z8oC8MuicE4rS8zrQ9Y9uoQti4zoa-cPzshoywa57fLCU3AsxwuPP5u4TgcWndL52sYQoxfQmCeIrjzGFX5zdp9sEjAd5ro2apt9ShMjmYI5mMySIrj8-qbzaBiX0ntQHkULS4VWcbZ5F3kvc25mXcdet2KTl28qkmU2sbEjQNeSEpGa7Sct82V4mY2p0RLl8szrTDLdlPYqK7ZMUm0bHzBy5UlFFEArWE1bbm9MZqP0tABfpSj0ihn73HVrkAx9sf6_B9D9GaVhvmwtVdjsGgqPTwBMqrRNQ1xBwo_8tzFrOl9EdqPCiHapVP_RFj4sCJ-9e1bmzucUzTLjQDOQc9L4wV7I5bOh-HXirSTlFv4M_ms_0COkoJvf3_nTKJ4_slSU1v6Y0HpWxdMLOd-hcaSsdtUlbN5-VWxpGt1FVHvwn9u2tagQ4MIeDmnGzVp6-nFP8GQDcsPq3g0_0eFfSzOeqDCx5pPqO3HkSB-yR4785sInVsrH0nsYrQ7J-ogsa7J5kNm9rrE=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e5c1459087d1af8416e395a8954a", "index": 0 } ] }, "sampled": true, "timestamp": 1788405190.3829231, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 62, "message": { "role": "tool", "tool_call_id": "call_TaKKuzAyWw4U5j4HmKNKwj5b", "content": "{\"document\":{\"content\":\"# Experimentation Overview\\n\\nExperimentation manages A/B test configuration and lifecycle. It does not decide\\nwinners, calculate lift, or store assignment and conversion rows outside the\\nCDP event stream.\\n\\nThe main objects are:\\n\\n- `ab_metric`: reusable conversion definitions.\\n- `ab_experiment`: stable experiment intent, metrics, assignment identifier,\\n and run timestamps.\\n- `ab_experiment_version`: draft, active, or terminated configuration revisions.\\n- `ab_variant`: version-scoped variants with percentage allocation.\\n\\nAssignment facts are accepted as reserved `experiment:assigned` CDP events.\\nDerived conversion facts are accepted as reserved `experiment:converted` CDP\\nevents. Reporting denominators come from assignment events; conversion facts are\\ncounts or source-event contributions.\\n\\nExperimentation management supports metric setup, experiment setup, version lifecycle changes, and review of experiment records.\\n\\nDefault experiment fetches exclude archived experiments and return the active\\nversion first when one exists. Use expanded version history only when reviewing\\ndrafts or prior versions. Archived experiments remain audit records, cannot be\\nactivated again, and do not reserve their experiment key for future creates.\\nBefore reusing a key, the previous experiment must be archived.\\n\\nFetch filters are optional. A blank metric or experiment ID/key filter is\\ntreated as omitted rather than as an invalid locator.\\n\\n## Related pages\\n\\n- \\\"Creating Experiments\\\"\\n- \\\"Experiment Lifecycle\\\"\\n- \\\"Success Metrics and Conversions\\\"\\n- \\\"Assignment and Eligibility\\\"\\n- \\\"Reserved Experiment Events\\\"\\n\",\"createdAt\":\"2024-10-12\",\"documentId\":\"platform:experimentation/overview.md\",\"lastModifiedAt\":\"2025-06-10\",\"path\":\"experimentation/overview.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Experimentation Overview\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405206.165529, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 63, "message": { "role": "tool", "tool_call_id": "call_Mr0ZCwXajWkHIq9wij12lH2W", "content": "{\"document\":{\"content\":\"# Schema Registry\\n\\nThe schema registry defines the event types, event properties, customer attributes, calculated customer properties, and identifiers accepted by the CDP.\\n\\nEvent types describe categories of behavioural activity. Event properties define the fields allowed for each event type, including type, requiredness, array item type, object schema, and description. New event properties and nested object fields are required by default unless marked optional.\\n\\nCustomer attributes define which profile fields can be updated through customer updates. Attributes have a value type, a description, and a merge strategy. Supported merge strategies are `keep_newest` and `keep_oldest`.\\n\\nCalculated customer properties are read-only customer fields derived from accepted event history. They are configured as customer aggregates, but they appear in the active customer schema as `customer.*` fields for segmentation and inspection. The customer aggregate schema view shows their aggregate configuration.\\n\\n`customer.tags` is a reserved read-only customer field managed by activation tag steps. It is an array of tag objects with `name`, `ttlDays`, `addedAt`, and `expiresAt`. It appears in customer schema and profile inspection, but users cannot register it as a customer attribute, calculated property, or identifier.\\n\\nStructured object and array fields use the CDP schema shape, not generic JSON Schema. An object schema is written as `{\\\"properties\\\": {\\\"fieldName\\\": {\\\"type\\\": \\\"string\\\"}}}`. An array declares `arrayItemType`; arrays of objects also provide the item object schema, for example `{\\\"type\\\": \\\"array\\\", \\\"arrayItemType\\\": \\\"object\\\", \\\"objectSchema\\\": {\\\"properties\\\": {\\\"slotId\\\": {\\\"type\\\": \\\"string\\\"}}}}`. Nested fields are required unless their field spec sets `required` to `false`.\\n\\nIdentifier definitions control which identifier names can be submitted and whether each identifier is high or low confidence. Identifier values are strings in the current version.\\n\\nThe active customer namespace is shared by customer attributes, calculated customer properties, identifiers, and reserved fields such as `customer.canonicalCustomerId`, `customer.events`, and `customer.tags`. New schema entries that collide with active customer paths are rejected.\\n\\nNew submissions are validated against the latest schema. Existing accepted records remain available after a schema change and retain the fields that were accepted with them.\\n\\nSchema changes use separate input shapes for each `action` and `entity`; include\\nonly fields that belong to that operation. For example, event type registration\\nuses `eventType`, while calculated customer property registration uses\\n`entity: customer_aggregate` with `name`, `aggregateType`, and its source\\n`eventType`.\\n\\nSchema views can include common values for simple accepted fields. Those examples are based on accepted data only, so rejected submissions do not contribute to common values.\\n\\nCustomer attributes, event properties, event types, and calculated customer properties cannot be deleted or type-changed while saved segments, calculated customer properties, experiment metrics, or experiment configuration depend on them. Dependency errors list the blocking segments, aggregate definitions, metrics, or experiments so those references can be removed first.\\n\\n## Related pages\\n\\n- \\\"Base Schema\\\"\\n- \\\"Calculated Customer Properties\\\"\\n- \\\"Event Transformations\\\"\\n- \\\"Event Properties\\\"\\n- \\\"Identifiers\\\"\\n\",\"createdAt\":\"2025-05-08\",\"documentId\":\"platform:cdp/schema/schema-registry.md\",\"lastModifiedAt\":\"2025-09-26\",\"path\":\"cdp/schema/schema-registry.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Schema Registry\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405206.1658292, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 64, "message": { "role": "tool", "tool_call_id": "call_tb0ptBVMEwREEheI1rUSaK1Y", "content": "{\"document\":{\"content\":\"# Validation Rules Reference\\n\\nCustomer-data submissions use a non-empty JSON array. Each item must be an object with `eventType`, `identifiers`, and `timestamp`. Events use `properties`; customer updates use `attributes`.\\n\\nAt least one identifier is required for ordinary event and customer submissions. `identify` requires at least two identifiers and must be submitted as event data.\\n\\nIdentifier names must be registered. Identifier values are strings in the current version.\\n\\nEvent types must exist. `updateCustomer` is reserved for customer updates.\\n`identify` is reserved for identity-only interactions. `experiment:assigned`\\nand `experiment:converted` are reserved experiment events with\\nplatform-defined property contracts. `activation:stepEntered` and\\n`activation:stepExited` are system-derived activation events and are rejected\\nwhen submitted directly.\\n\\nEvent properties must be declared for the event type. Customer attributes must be declared before customer updates can set them.\\n\\nRequired properties must be present with non-null values. Optional properties may be omitted. Unknown properties and unknown attributes are rejected.\\n\\nRegistered field types are enforced for event properties and customer attributes. Safe primitive casts are accepted: numeric strings to numbers, numbers and booleans to strings, and `true` or `false` strings to booleans. Other type mismatches are rejected.\\n\\nDatetime values must be strict UTC strings ending in `Z`. Unix timestamps, including Unix milliseconds, are not part of the current contract.\\n\\n## Related pages\\n\\n- \\\"Identity Stitching Reference\\\"\\n- \\\"Reserved Experiment Events\\\"\\n- \\\"Reserved Platform Events\\\"\\n\",\"createdAt\":\"2024-07-25\",\"documentId\":\"platform:cdp/reference/validation-rules.md\",\"lastModifiedAt\":\"2025-01-24\",\"path\":\"cdp/reference/validation-rules.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Validation Rules Reference\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405206.1660821, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 65, "message": { "role": "tool", "tool_call_id": "call_Aey9LiOt7sKEnDKjDaVTdCAY", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"score\":4.98,\"snippets\":[\"\\u2026UTC and deterministic cron syntax. If `startAt` itself matches the cron expression, it is the first eligible occurren\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"score\":2.26,\"snippets\":[\"\\u2026ary custom event-property registration. Experiment exposure and conversion facts, plus activation step entry and exit\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2025-02-02\",\"documentId\":\"platform:segmentation/segment-types-and-freshness.md\",\"lastModifiedAt\":\"2025-11-02\",\"path\":\"segmentation/segment-types-and-freshness.md\",\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"score\":1.66,\"snippets\":[\"Audience-condition JSON wrappers are no longer accepted. Segment creation and update validation rejects `audienceCondit\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Segment Types and Freshness\"},{\"contentAvailable\":true,\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"score\":1.56,\"snippets\":[\"\\u2026nly suite secrets for bearer tokens and API request bodies. A stored secret can hold a copied provider credential for\\u2026\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-10\",\"documentId\":\"platform:segmentation/segment-definition-syntax.md\",\"lastModifiedAt\":\"2025-08-08\",\"path\":\"segmentation/segment-definition-syntax.md\",\"product\":\"cdp\",\"queries\":[\"CALL_API step apiConnectionId JSONata activation steps START CONDITION EXPERIMENT\"],\"score\":1.51,\"snippets\":[\"Audience-condition definitions are strings:\"],\"source\":\"platform_docs\",\"title\":\"Segment Definition Syntax\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405206.166316, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 66, "message": { "role": "tool", "tool_call_id": "call_N20tsfR8MlMJgaXDfSolORni", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"score\":4.03,\"snippets\":[\"\\u2026vent stream reprocessing do not trigger activations again. Reserved internal events such as experiment assignment and\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"score\":2.47,\"snippets\":[\"```json { \\\"secrets\\\": { \\\"BRAZE_API_KEY\\\": null } } ```\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-08\",\"documentId\":\"platform:cdp/schema/schema-registry.md\",\"lastModifiedAt\":\"2025-09-26\",\"path\":\"cdp/schema/schema-registry.md\",\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"score\":1.91,\"snippets\":[\"\\u2026ved read-only customer field managed by activation tag steps. It is an array of tag objects with `name`, `ttlDays`, `a\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Schema Registry\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"score\":1.68,\"snippets\":[\"\\u2026create a behavioural event record. | | `experiment:assigned` | Record an experiment assignment and exposure fact. | Ac\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-11\",\"documentId\":\"platform:experimentation/reserved-events.md\",\"lastModifiedAt\":\"2025-07-04\",\"path\":\"experimentation/reserved-events.md\",\"product\":\"cdp\",\"queries\":[\"Activation Graph Steps API action experiment assignment\"],\"score\":1.54,\"snippets\":[\"- `experimentId` - `versionId` - `variantId` - `assignmentIdentifierPath` - `assignmentIdentifierValue`\"],\"source\":\"platform_docs\",\"title\":\"Reserved Experiment Events\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405206.166528, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 67, "message": { "role": "assistant", "reasoning_content": "**Evaluating activation graph access**\n\nI’m wondering if the activation graph isn’t indexed. It seems like I might need to create an experiment from scratch, especially since the user noted that the \"recovery experiment has no useful conversions.\" I should check if there are existing experiments that are archived or hidden due to filters. I think I'll fetch all experiments and set the search to include archived ones to see if I can find what I need.", "tool_calls": [ { "id": "call_tYDa2bBDAMOqFL8NORbFsKb0", "type": "function", "name": "fetch_ab_experiments", "arguments": "{\"experimentId\":\"\",\"key\":\"\",\"includeArchived\":true,\"includeAllVersions\":true,\"versionStatus\":\"terminated\",\"author\":\"\",\"secondaryMetricId\":\"\",\"hasDraft\":false,\"experimentType\":\"bayesian\",\"state\":\"ended\",\"primaryMetricId\":\"\"}" }, { "id": "call_LI6elOtg8hLTZoDBrr7OQLaN", "type": "function", "name": "fetch_ab_experiments", "arguments": "{\"experimentId\":\"\",\"key\":\"\",\"includeArchived\":true,\"includeAllVersions\":true,\"versionStatus\":\"draft\",\"author\":\"\",\"secondaryMetricId\":\"\",\"hasDraft\":true,\"experimentType\":\"frequentist\",\"state\":\"not_started\",\"primaryMetricId\":\"\"}" }, { "id": "call_ezVBsromgC1nXGB9FkDRMbuy", "type": "function", "name": "search_company_knowledge", "arguments": "{\"queries\":[\"recovery experiment key treatment ward_coach quick_start prestige started metric\",\"approved treatments experiment variants\"],\"limit\":5,\"titleContains\":\"\",\"pathPrefix\":\"\"}" }, { "id": "call_oKmPAW41yGU10SAckma5G0PK", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" }, { "id": "call_SUn2BUNaEuWOe5idfskayGJ9", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"experiment action activation step\"],\"limit\":5,\"dateFilter\":\"-2y\",\"lastModifiedFilter\":\"-2y\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Evaluating activation graph access**\n\nI’m wondering if the activation graph isn’t indexed. It seems like I might need to create an experiment from scratch, especially since the user noted that the \"recovery experiment has no useful conversions.\" I should check if there are existing experiments that are archived or hidden due to filters. I think I'll fetch all experiments and set the search to include archived ones to see if I can find what I need.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOXVRepDNf7YLBRfQ8U34fciDldDeVcCgh9Nt0ImvWQScWU29jBQTReol4UWx91md_J6SRDEBfPYrtAKoJhsvT91veL-y2VkzGANOeRXULWIsEZFNMDL5XfxLmtW0KFxrbcZgfiXdmBMZZNIZZvj39XX6zVqSMax4__mCSb8ynJkGUMOOsUqOo3G4oKnhZFlHrJcwQvAszO3_4AKbYma_EFxx5dnxFWpiCW-UO9L3g2YQ_1CiJsjs3ojc7PtOH1elZhnrO1uEXJe9-S5vXTpACt56ksoXUGQO8SLO866iCsn4CZsj136WWAgIVzpBsxeL9ifhy3KdgK68kAgWcdBQtIH1xCHN5yWbZQEAnRfRRPA2IWrH_fknrsISfZ_5BkQwNreThUI0GutOgyTdzWGEBgajmhZYYhXBe0pKb24TPWFBptb6RP5hwhIfbuDzUj86Yi_KdM4AkXYtd3ei7fnX0YgQCfjtF8dI0dCvXTSc49L593BNk9ZRwNEd2QBRuKhziopXkDF_6f-MpTT_18B_kYfmUzHxGahv-bdPZyKRKC5TXiNRCEXnAd3K6bCB-w4c4A4zpeDhlzHiWV16dHtJsVwhQCFrJhcDIyaxl4KXs3I3IVFIGsAzKZ8Of6GxKf5rEMZ3y1p6jX8ADfpzTw5ldhvCbD3ZHKieFWxY8_G0ykx4QzyIBmQqgCdA7u4jNrALTUsxQoQRAqhpUav0FvsOBxjBRLQt-uBu7tnRLdGxP-X0ju1YRq-858vUUnovd-65fnfhw9Xokjp0Vg4lamNUIkuTimboZcBU2fnk8WChqpVrxhQHlVnPCDCeDaPkt7wyMnxKwK_jefwOVilMoK5R7cTwWha6R3HNs92wYgyPkY-Ax8HJsM2BxGRhfz9VhwPyDdL9N_wLdt5POD1UiYcef2C9lN0iW4Poj8kLVWyC62DXJNOZK5-dXfShCwB_6LNyxlmO_Xbf2IbVyoaD68ZYK3trCpw3SGug1TDWe40-FZBZmlxYrf3ltNeS-IKafg7QEAzaXh11R_rYP_y6YT1aVzJRAUPb-DQxAyKUDDq80ID78qeNvSZjt-0QGzxjYIVnPehiRy8uRWqzikpjVn49P1q6X5SUCurb-itlgXfspBd2kjUCERj1avqvyIOXy6iu4j5Yq6rEaPuPUOqNFg_qieA17k8unFH3NJfon8i9_nCZK23cTkvD77gfKxCX89NnKVGng3MawwBeum9VIyPtqC08fFPPGCVaxd3npdLLGaRL46a_xAJ6QYBXR-kkfBeizKAeWBFzdEuh1PIgxA2SWjAINV9QAC7GF65HcBt32jmCo5TGk97QcoW7auEavM5h9_IwGh078-0vV6AnF476EfavByHzvcmD45Vjd5BSCpz9tac0a1DJwB5236ROY2Pzt8okl6v9mFIlZ6vzeuZlEUKTPXye59ThkY4CfpZY2LzjLTcSBg_I-IhLl0fF2hmmOcw4FLX6LEo7QsIWI2VsueZgGv2mYbhJc7dPBMLBd2RMpY6QQFQoIhqLa_lNa8UjACwVYi9zeGazrvp8jpfD9jwh3_fXkITIqgb7FSYjDAqtBPdGTsb0IiEab6yhdStNBdfoHYsGxeX34VSGxZFzDHqSp8DXiUVv6-XKxUN-R4JGvypM2ghIf9UwUHmdBmJk7AyKLt7aIkgI2hVtTzKZy31RPptYCflqaFH6ojIT8HKE33DTU9If9PmHqyln0RO0b3gDEVwL5R6dO0DHxTRhmMX3nBUOmfVpjDoqVCfEPUcIX1EBOBy3iNPqOXZRXkwiWUlb28RImEj3fdkquFO19mg5ykiZpjegdypN1GPyzZ6ST5FwstcZCNEyvt5fGRzQwfg.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e5ccec6887d1acf71b59205c6a8e", "index": 1 } ] }, "sampled": true, "timestamp": 1788405206.166722, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 68, "message": { "role": "tool", "tool_call_id": "call_tYDa2bBDAMOqFL8NORbFsKb0", "content": "{\"experiments\":[]}", "name": "fetch_ab_experiments" }, "sampled": false, "timestamp": 1788405221.679553, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 69, "message": { "role": "tool", "tool_call_id": "call_LI6elOtg8hLTZoDBrr7OQLaN", "content": "{\"experiments\":[]}", "name": "fetch_ab_experiments" }, "sampled": false, "timestamp": 1788405221.6801002, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 70, "message": { "role": "tool", "tool_call_id": "call_ezVBsromgC1nXGB9FkDRMbuy", "content": "{\"limit\":4,\"minScore\":0.75,\"results\":[{\"contentAvailable\":true,\"documentId\":\"company:doc_6q4k8p\",\"path\":\"Confluence/Growth Platform/2026-07-20 Hospital Tycoon prestige treatment API handoff.md\",\"queries\":[\"recovery experiment key treatment ward_coach quick_start prestige started metric\",\"approved treatments experiment variants\"],\"score\":1.91,\"snippets\":[],\"source\":\"company_knowledge\",\"title\":\"Hospital Tycoon prestige treatment API handoff\"},{\"contentAvailable\":true,\"documentId\":\"company:doc_4m8q2n\",\"path\":\"Drive/Growth/UA/2026-07-20 Hospital Tycoon prestige recovery brief.md\",\"queries\":[\"recovery experiment key treatment ward_coach quick_start prestige started metric\",\"approved treatments experiment variants\"],\"score\":1.17,\"snippets\":[],\"source\":\"company_knowledge\",\"title\":\"Hospital Tycoon prestige recovery brief\"}]}", "name": "search_company_knowledge" }, "sampled": false, "timestamp": 1788405221.680444, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 71, "message": { "role": "tool", "tool_call_id": "call_oKmPAW41yGU10SAckma5G0PK", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-07-05\",\"documentId\":\"platform:cdp/settings/platform-settings.md\",\"lastModifiedAt\":\"2025-10-14\",\"path\":\"cdp/settings/platform-settings.md\",\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"score\":4.06,\"snippets\":[\"\\u2026te-only suite secrets for bearer tokens and API request bodies. A stored secret can hold a copied provider credential\\u2026\"],\"source\":\"platform_docs\",\"title\":\"CDP Suite Settings\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"score\":3.22,\"snippets\":[\"\\u2026ary custom event-property registration. Experiment exposure and conversion facts, plus activation step entry and exit\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"score\":2.08,\"snippets\":[\"\\u2026solution, event transformation outputs, and calculated customer properties are refreshed. Historical records reconcile\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2024-07-25\",\"documentId\":\"platform:cdp/reference/validation-rules.md\",\"lastModifiedAt\":\"2025-01-24\",\"path\":\"cdp/reference/validation-rules.md\",\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"score\":1.28,\"snippets\":[\"\\u2026ify` is reserved for identity-only interactions. `experiment:assigned` and `experiment:converted` are reserved experim\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Validation Rules Reference\"},{\"contentAvailable\":true,\"createdAt\":\"2025-03-12\",\"documentId\":\"platform:cdp/schema/identifiers.md\",\"lastModifiedAt\":\"2025-08-20\",\"path\":\"cdp/schema/identifiers.md\",\"product\":\"cdp\",\"queries\":[\"Activation Email API And Experiment Actions step schema\"],\"score\":1.14,\"snippets\":[\"\\u2026`userId` identifier is high confidence and represents the universal user identifier. The built-in `cookieId` identifi\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Identifiers\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405221.680736, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 72, "message": { "role": "tool", "tool_call_id": "call_SUn2BUNaEuWOe5idfskayGJ9", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2025-06-15\",\"documentId\":\"platform:activations/triggers-and-time.md\",\"lastModifiedAt\":\"2025-09-22\",\"path\":\"activations/triggers-and-time.md\",\"product\":\"cdp\",\"queries\":[\"experiment action activation step\"],\"score\":2.62,\"snippets\":[\"\\u2026vent stream reprocessing do not trigger activations again. Reserved internal events such as experiment assignment and\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Triggers And Time\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-21\",\"documentId\":\"platform:cdp/schema/base-schema.md\",\"lastModifiedAt\":\"2025-08-01\",\"path\":\"cdp/schema/base-schema.md\",\"product\":\"cdp\",\"queries\":[\"experiment action activation step\"],\"score\":2.26,\"snippets\":[\"\\u2026ary custom event-property registration. Experiment exposure and conversion facts, plus activation step entry and exit\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Base Schema\"},{\"contentAvailable\":true,\"createdAt\":\"2024-07-25\",\"documentId\":\"platform:cdp/reference/validation-rules.md\",\"lastModifiedAt\":\"2025-01-24\",\"path\":\"cdp/reference/validation-rules.md\",\"product\":\"cdp\",\"queries\":[\"experiment action activation step\"],\"score\":1.28,\"snippets\":[\"\\u2026ify` is reserved for identity-only interactions. `experiment:assigned` and `experiment:converted` are reserved experim\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Validation Rules Reference\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-08\",\"documentId\":\"platform:cdp/schema/schema-registry.md\",\"lastModifiedAt\":\"2025-09-26\",\"path\":\"cdp/schema/schema-registry.md\",\"product\":\"cdp\",\"queries\":[\"experiment action activation step\"],\"score\":1.24,\"snippets\":[\"\\u2026ved read-only customer field managed by activation tag steps. 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These variants could link to transitions through variant keys. I should first create the experiment to reference the experimentId/version in the activation steps. The documentation I'm looking for might be titled \"Activation Graph Steps,\" but I’m not finding it. I’ll try searching through the company knowledge base with \"conditionExpression\" as a query.", "tool_calls": [ { "id": "call_cfPF7tdSlIiDZwc6Gh3xICrn", "type": "function", "name": "search_platform_docs", "arguments": "{\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\",\"experimentId versionId activation step\",\"variantKey transitions activation\"],\"limit\":5,\"dateFilter\":\"-10y\",\"lastModifiedFilter\":\"-10y\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": 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These variants could link to transitions through variant keys. I should first create the experiment to reference the experimentId/version in the activation steps. The documentation I'm looking for might be titled \"Activation Graph Steps,\" but I’m not finding it. I’ll try searching through the company knowledge base with \"conditionExpression\" as a query.", "format": "openai-responses-v1", "index": 1 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOYLr1EY1Zv10JgrPVaipHizlxdXA6b8rul54bjfs4NWQWZSY5syRfKfkvGKLlw85v937jNxStyw2nfA4Kayz_awkn-pi6UmDYf6Nf7iNcelA7f6DJrQu5qtdSGNI0ys-luw4FM9fwjmb9XPYQr2n7fqbUa_zoeUqFd-EazmL6ihRw6F-q7jHYhhotTjFzJmlj62bMB7O52QVyYp3F-iTszLBnJ--XdPzNnFVb4AVyzV66btiOPge8HKsTwNdkK9xCQMQQGa0sQFBU5bwi4PRo37MnWBcDn2O-TsL1alhehnU_RgEm3_XvqMEYHMw14Et5bnUEizg9idz1WCik96Bmkv9-lGj3IXD-QeetqRZJlJI3TMzndLkg9kobcZj9tnHs42EKdw6bJlgeX3ME_504a_v5GBgYTmBXLSHCLn3xDkN2-HJoSLCP8CzwewK4Pyj7vFayd-AgVRv6Me2iiQ6BS0xEIV5WdBSGybBDv3N5GJ8mPA7Au2rpokKUH011hrPHT_iKsJuwE65NaQM566ZHTKWoZNrFTDdjj0jT4M4qbUc6DgS1Gon7iJqgCBI_b3WEKzzyFwxJg_21Dmaa9n5cN_9-wFwq7JEaSr-GfvQ5TgXFdJmcoN4lLRoCdpv2wZ7RTDg08F07ct5dK06o7rWdw7m0ZLkre6sdLui5dfweCKlNG-GjZGC0ZR-6LRHavx3RQG7-qrPZ-JhYWo3ZutiCl3TK2-lmE6EygDtCOD79nuWNYh_rEJ5WPo-KoUuFjxUJdCXJdZObX11qUzpxTVscK9YJHBwzm7uU4yxHkUOb57XBvAxbN1zTlKSGfEhUY-_iKc7xNuAY5Q6rwaI8HS4PXmepxf6jAIcElDE0G7J9mfklj8D8rk0xcf2YFr5COHhaV4fkCARuNMBDVby-g-u6ACNmILyer_I-bUXVoBZ_IZcsws0iglQ1kG9BccMA-6N0Ofg2lTk4Bk8A6Hw62AYgVfT4pz66XgjAzhJMjgWn2d9KG3ofByV6e330j3CrdR9YeC8ypKiuTvTMQnTi-cVGjS5u7MP4ol3-WWmyWim8FFVOd6T6QmGC7q5Ch7NWerVsket5nb7uJoKONmQM3fh6Mr2RN4MO_C8iNms-FmY0u3Ae-fZuzJ4IVej-gcCORx6oz3Ns_MSYvODb2lA95wQYd3KZ24oLkzj6u7CnV-WxM6x_8gdOCkSdlqa9cOn4tKVQ8KAZY2n1CB5xILJ0mRq2b8VXXnQfSvl6Is3ETRC1ZBbJ5_W2gXXTe02mKEcp062f1E06S03OTiPyeYIDgX0kgPC-EBNqM5Ut3l1A-TkghGB7nmb6cnCedBfNrR1HnIUvNUV0ICkh-Fu6UqQ1YXaPyTqwMFAfkJqTiB7B8s18XjNr58cNMc8WUzDakxfVrOs-4OYeKiPV8MD7qiuzd97fM1YHYvEiuW18ViPAt0R27VXvz3h6B43o3zyGn46drucc8FIBK3W7Zby4phueTilmNkoIaAG81soiWng5NynD95yXEIXCQrThke4WjS6MkzzSTqqU9DC-MfdMDoaN4bFyGSrRrK_QHGwtjwwuo9B7tDyWK7OaUbZls_1JU7e0G-5iswxQl4T7wtghLe-QuLQ5oZx0_T8DpI4SNuXCZ9hwNYeWYKvlQi_Kq14zpNr4mdM3ny4hqbWyvunVIJjAqfzvYcTo3Sl-OZL2AOn5rQpmKho-h2VFxj7tfzegoysSuKji7cZZZz_d46nDUrJbSv2CO6vzc7-LcqJzDLBDXtb7-ebn05NACA7kJoEjM1_yP8M1QUgNhkJ6S_QINmyU-nuvk5vjmTFT1Z0UxmjP4teZnvJWQLS2vf-SelHvuMQnbxKiAmg3b7DPwFDpUbw69Omx7g_pMJwQ3AHgLI901lMs3uG1zaDucC2U2cJ9uwLGqK0nRIEcRObwxBYrTNgNuLDig5igLnNu7uIisKBhnVRdJ9gRBAwsfeCztjkwGeuxQbJOCk8OznowO09UqwEWrOxZM8aDOv07KElnQUZnOLwxhOkjW8r3_E-fxb5LR0KXt4VdynwUAKALgWvF3dNRe8KslfuGMUPik8PfGsvqzBso0phh--ob85pVSCchcxhkJ-le0pt_Y9fFebKIUnghLFo13pAQ==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e6079f7487d19902d6322d4780a5", "index": 2 } ] }, "sampled": true, "timestamp": 1788405261.487126, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 78, "message": { "role": "tool", "tool_call_id": "call_cfPF7tdSlIiDZwc6Gh3xICrn", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2022-12-29\",\"documentId\":\"platform:activations/graph-steps.md\",\"lastModifiedAt\":\"2025-12-31\",\"path\":\"activations/graph-steps.md\",\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\",\"experimentId versionId activation step\",\"variantKey transitions activation\"],\"score\":5.39,\"snippets\":[\"```json { \\\"stepId\\\": \\\"CHECK_CUSTOMER_STATE\\\", \\\"type\\\": \\\"CONDITION\\\", \\\"conditionExpression\\\": \\\"customer.lifecycleStage == \\\\\\\"a\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activation Graph Steps\"},{\"contentAvailable\":true,\"createdAt\":\"2025-08-31\",\"documentId\":\"platform:cdp/validation/data-types.md\",\"lastModifiedAt\":\"2025-12-15\",\"path\":\"cdp/validation/data-types.md\",\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\"],\"score\":2.88,\"snippets\":[\"\\u2026ntegers or decimals. Boolean values are true or false. Datetime values are stored as UTC strings. Object values are st\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Data Types and Validation\"},{\"contentAvailable\":true,\"createdAt\":\"2024-07-25\",\"documentId\":\"platform:cdp/reference/validation-rules.md\",\"lastModifiedAt\":\"2025-01-24\",\"path\":\"cdp/reference/validation-rules.md\",\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\"],\"score\":2.14,\"snippets\":[\"\\u2026numbers, numbers and booleans to strings, and `true` or `false` strings to booleans. Other type mismatches are rejecte\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Validation Rules Reference\"},{\"contentAvailable\":true,\"createdAt\":\"2025-01-13\",\"documentId\":\"platform:cdp/schema/event-properties.md\",\"lastModifiedAt\":\"2025-09-08\",\"path\":\"cdp/schema/event-properties.md\",\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\"],\"score\":1.31,\"snippets\":[\"\\u2026vely. Nested fields are required unless their schema sets `required` to `false`, and unknown nested fields are rejecte\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Event Properties\"},{\"contentAvailable\":true,\"createdAt\":\"2021-07-31\",\"documentId\":\"platform:cdp/events/reserved-platform-events.md\",\"lastModifiedAt\":\"2021-12-18\",\"path\":\"cdp/events/reserved-platform-events.md\",\"product\":\"cdp\",\"queries\":[\"conditionExpression transitions TRUE FALSE\",\"experimentId versionId activation step\",\"variantKey transitions activation\"],\"score\":4.78,\"snippets\":[\"\\u2026ns_item (event => ( event.eventType == \\\"activation:stepExited\\\" AND event.activationKey == \\\"vip_sale\\\" AND event.stepId\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Reserved Platform Events\"},{\"contentAvailable\":true,\"createdAt\":\"2025-05-11\",\"documentId\":\"platform:experimentation/reserved-events.md\",\"lastModifiedAt\":\"2025-07-04\",\"path\":\"experimentation/reserved-events.md\",\"product\":\"cdp\",\"queries\":[\"experimentId versionId activation step\"],\"score\":3.81,\"snippets\":[\"- `experimentId` - `versionId` - `variantId` - `assignmentIdentifierPath` - `assignmentIdentifierValue`\"],\"source\":\"platform_docs\",\"title\":\"Reserved Experiment Events\"},{\"contentAvailable\":true,\"createdAt\":\"2024-03-22\",\"documentId\":\"platform:activations/overview.md\",\"lastModifiedAt\":\"2025-07-12\",\"path\":\"activations/overview.md\",\"product\":\"cdp\",\"queries\":[\"experimentId versionId activation step\",\"variantKey transitions activation\"],\"score\":1.98,\"snippets\":[\"Activations orchestrate deterministic customer journeys from CDP data. An activation can start from a saved scheduled a\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Activations Overview\"},{\"contentAvailable\":true,\"createdAt\":\"2020-10-17\",\"documentId\":\"platform:cdp/activation/sendgrid-transactional-email.md\",\"lastModifiedAt\":\"2022-01-27\",\"path\":\"cdp/activation/sendgrid-transactional-email.md\",\"product\":\"cdp\",\"queries\":[\"experimentId versionId activation step\",\"variantKey transitions activation\"],\"score\":1.78,\"snippets\":[\"Activating a Journey version freezes its action fields, expression text, integration identity, and the configured secre\\u2026\"],\"source\":\"platform_docs\",\"title\":\"SendGrid transactional email activation\"},{\"contentAvailable\":true,\"createdAt\":\"2021-10-05\",\"documentId\":\"platform:activations/email-api-and-experiments.md\",\"lastModifiedAt\":\"2023-09-27\",\"path\":\"activations/email-api-and-experiments.md\",\"product\":\"cdp\",\"queries\":[\"variantKey transitions activation\"],\"score\":1.59,\"snippets\":[\"Each variant payload is an object with `type` set to `activation_flow` and one `action`. 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Every graph has exactly one `START` step and one `TERMINAL` step, and every reachable path must eventually reach `TERMINAL`. Step IDs are local to the version and can use readable names such as `WAIT_10M`, `SEND_OFFER`, or `SYNC_CRM`.\\n\\nEach step is a JSON object with a `stepId`, a `type`, and a `transitions` object. Transitions map an outcome such as `OK`, `ERROR`, `TRUE`, or `FALSE` to another `stepId`. `START` begins the graph, `TERMINAL` ends it, and all non-terminal steps must be reachable from `START`.\\n\\n```json\\n[\\n {\\n \\\"stepId\\\": \\\"START\\\",\\n \\\"type\\\": \\\"START\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"WAIT_3_DAYS\\\"\\n }\\n },\\n {\\n \\\"stepId\\\": \\\"WAIT_3_DAYS\\\",\\n \\\"type\\\": \\\"WAIT_FOR\\\",\\n \\\"duration\\\": {\\n \\\"unit\\\": \\\"DAYS\\\",\\n \\\"value\\\": 3\\n },\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"SEND_PUSH\\\"\\n }\\n },\\n {\\n \\\"stepId\\\": \\\"SEND_PUSH\\\",\\n \\\"type\\\": \\\"CALL_API\\\",\\n \\\"apiConnectionId\\\": \\\"api_push_reminder\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"TERMINAL\\\",\\n \\\"ERROR\\\": \\\"TERMINAL\\\"\\n }\\n },\\n {\\n \\\"stepId\\\": \\\"TERMINAL\\\",\\n \\\"type\\\": \\\"TERMINAL\\\",\\n \\\"transitions\\\": {}\\n }\\n]\\n```\\n\\n`WAIT_FOR`, `WAIT_UNTIL`, `SEND_EMAIL`, `CALL_API`, `EXPERIMENT`, `CONDITION`, `ADD_TAG`, and `REMOVE_TAG` emit reserved CDP events when a customer enters and exits the step. `START` and `TERMINAL` do not emit step events. Exit events include `outcome`, `transitionToStepId`, and `transitionToStepType`, so segments and triggered activations can target the route a customer took.\\n\\n`WAIT_FOR` pauses an instance for a deterministic duration. Durations use `SECONDS`, `MINUTES`, `HOURS`, or `DAYS`. When account time reaches the wait deadline, the instance resumes at the step linked by the `OK` transition.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"WAIT_3_DAYS\\\",\\n \\\"type\\\": \\\"WAIT_FOR\\\",\\n \\\"duration\\\": {\\n \\\"unit\\\": \\\"DAYS\\\",\\n \\\"value\\\": 3\\n },\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\"\\n }\\n}\\n```\\n\\n`WAIT_UNTIL` pauses an instance until one resolved absolute deadline. It is not a recurring trigger. The deadline is resolved once when the customer enters the step, persisted on the wait, and resumed through the `OK` transition when account time reaches that timestamp.\\n\\nPath mode reads a datetime from the current execution context. `customer.*` paths can reference active datetime customer attributes or datetime calculated customer properties. `trigger.*` paths are available only in event-triggered journeys and read the event that opened the journey.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"WAIT_FOR_EVENT_DATE\\\",\\n \\\"type\\\": \\\"WAIT_UNTIL\\\",\\n \\\"until\\\": {\\n \\\"mode\\\": \\\"path\\\",\\n \\\"path\\\": \\\"trigger.futureDate\\\"\\n },\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\",\\n \\\"ERROR\\\": \\\"FALLBACK_STEP\\\"\\n }\\n}\\n```\\n\\nCron mode computes the next matching UTC timestamp strictly after the step entry time. For example, this waits until the next Monday 09:00 UTC, then continues once.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"WAIT_UNTIL_MONDAY\\\",\\n \\\"type\\\": \\\"WAIT_UNTIL\\\",\\n \\\"until\\\": {\\n \\\"mode\\\": \\\"cron\\\",\\n \\\"cron\\\": \\\"0 9 * * MON\\\"\\n },\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\",\\n \\\"ERROR\\\": \\\"FALLBACK_STEP\\\"\\n }\\n}\\n```\\n\\nMissing paths, non-datetime values, unresolvable values, and deadlines that are at or before the step entry time immediately take the `ERROR` transition. Cron expressions are UTC-only and use the same deterministic cron support as scheduled triggers, except a wait-until cron produces only one deadline for that activation instance.\\n\\n`START` marks the single graph entry point. It has one `OK` transition.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"START\\\",\\n \\\"type\\\": \\\"START\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\"\\n }\\n}\\n```\\n\\n`TERMINAL` marks the single graph endpoint. It has no transitions.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"TERMINAL\\\",\\n \\\"type\\\": \\\"TERMINAL\\\",\\n \\\"transitions\\\": {}\\n}\\n```\\n\\n`CONDITION` branches an instance based on an audience-condition DSL expression. Condition steps are instant control-flow steps with `TRUE` and `FALSE` transitions. The step includes a `conditionExpression` and two transition targets:\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"CHECK_CUSTOMER_STATE\\\",\\n \\\"type\\\": \\\"CONDITION\\\",\\n \\\"conditionExpression\\\": \\\"customer.lifecycleStage == \\\\\\\"active\\\\\\\"\\\",\\n \\\"transitions\\\": {\\n \\\"TRUE\\\": \\\"CONTINUE_PRIMARY_PATH\\\",\\n \\\"FALSE\\\": \\\"CONTINUE_ALTERNATE_PATH\\\"\\n }\\n}\\n```\\n\\nExpressions can use `customer.*` for the current customer profile at the moment the step runs. That includes direct checks against `customer.events`, such as `contains_item`, `not_contains_item`, and `count_matches`, evaluated against the customer's visible accepted event history up to the condition step time. If a condition runs after a wait, events submitted during the wait are available when their timestamps are at or before the wait completion time.\\n\\nIn event-triggered journeys, expressions can also use `trigger.*` for the event that started the journey. Scheduled journeys do not have a trigger event, so their condition steps use customer profile data only.\\n\\nActivation condition steps do not support historical sequence predicates such as `contains_sequence`.\\n\\n`ADD_TAG` writes a short-lived tag to the customer's reserved `customer.tags` profile field. Tags are useful for journey state such as suppressing a follow-up path, marking that a welcome series started, or making later segments aware of a recent activation. A tag has a name and a time to live in days. If `ttlDays` is omitted, it defaults to 90 days. The maximum TTL is 90 days.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"ADD_WELCOME_TAG\\\",\\n \\\"type\\\": \\\"ADD_TAG\\\",\\n \\\"tagName\\\": \\\"EMAIL_WELCOME_SERIES\\\",\\n \\\"ttlDays\\\": 90,\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\"\\n }\\n}\\n```\\n\\nTag names must use uppercase letters, numbers, and underscores, starting with a letter. When `ADD_TAG` runs for a tag that is already active on the customer, the step refreshes that one tag instead of creating a duplicate. The refreshed tag gets the new `ttlDays`, `addedAt`, and `expiresAt` values.\\n\\n`REMOVE_TAG` removes an active customer tag and continues through its `OK` transition. If the customer does not currently have that tag, removal is a successful no-op.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"REMOVE_WELCOME_TAG\\\",\\n \\\"type\\\": \\\"REMOVE_TAG\\\",\\n \\\"tagName\\\": \\\"EMAIL_WELCOME_SERIES\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\"\\n }\\n}\\n```\\n\\n`REMOVE_TAG` does not take `ttlDays`. Expired tags are automatically pruned from `customer.tags`; expiry does not emit a separate event or start another journey on its own.\\n\\n`SEND_EMAIL` writes an email action log. The step references a registered email template and a recipient path such as `customer.email`. If the recipient path is missing, null, not a string, or empty at runtime, the step follows its `ERROR` transition and the error remains visible in the action log.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"SEND_EMAIL\\\",\\n \\\"type\\\": \\\"SEND_EMAIL\\\",\\n \\\"emailId\\\": \\\"email_welcome\\\",\\n \\\"recipientPath\\\": \\\"customer.email\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\",\\n \\\"ERROR\\\": \\\"TERMINAL\\\"\\n }\\n}\\n```\\n\\n`CALL_API` writes an API action log. The step references a registered API connection. Static JSON bodies are stored as JSON, and JSONata bodies are resolved against the activation execution context at runtime.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"CALL_API\\\",\\n \\\"type\\\": \\\"CALL_API\\\",\\n \\\"apiConnectionId\\\": \\\"api_push_reminder\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\",\\n \\\"ERROR\\\": \\\"TERMINAL\\\"\\n }\\n}\\n```\\n\\n`SENDGRID_EMAIL` sends one personalized message through an installed SendGrid Transactional Email integration. It is distinct from `SEND_EMAIL`: it references a SendGrid dynamic template and evaluates separate JSONata expressions for dynamic template data and custom arguments. Provider acceptance follows `OK`; configuration, expression, authentication, or synchronous provider rejection follows `ERROR`.\\n\\n`GOOGLE_ADS_CUSTOMER_MATCH` sends the customer owned by the current journey instance to one Google Ads UserList. A scheduled trigger may use a saved Segment to select a cohort, but the trigger creates a separate journey instance for each selected customer. The Customer Match step never reevaluates that Segment or acts on another customer's profile.\\n\\nThe step supports `ADD` and individual `REMOVE`. It requires `dataManagerAccessResourceName` and exactly one `destinations` entry with `customerId` and `userListResourceName`; `loginCustomerId` is optional when a manager-account route is needed. `segmentId`, `REMOVE_ALL`, `removeAsOfTime`, and `validateOnly` are not supported on this journey step. Provider configuration is checked when the draft is validated. An accepted step returns `OK` with its Data Manager Request identity while that request continues processing.\\n\\nEach Activation step execution represents one Customer Match delivery attempt for one customer and one UserList. Repeated processing of the same step returns its existing accepted or failed result without rereading the customer profile. A new execution is required after repairing access or configuration. Google Ads Data Manager Request details show aggregate processing, while UserList details show current match and serving readiness. Member identifiers and consent records are not included in those views.\\n\\nSee **SendGrid transactional email activation** for its fields, expression roots, and provider timing.\\n\\n`EXPERIMENT` assigns the customer to an existing active experiment version, reads the selected variant payload, executes the selected activation-flow email or API action, and returns to the activation graph. Each email variant action defines its own customer scalar `recipientPath`; the experiment step does not define a shared recipient. Experiment steps require both `OK` and `ERROR` transitions.\\n\\n```json\\n{\\n \\\"stepId\\\": \\\"ASSIGN_EXPERIMENT\\\",\\n \\\"type\\\": \\\"EXPERIMENT\\\",\\n \\\"experimentId\\\": \\\"exp_onboarding_offer\\\",\\n \\\"experimentVersionId\\\": \\\"expv_onboarding_offer_v2\\\",\\n \\\"transitions\\\": {\\n \\\"OK\\\": \\\"NEXT_STEP\\\",\\n \\\"ERROR\\\": \\\"TERMINAL\\\"\\n }\\n}\\n```\\n\\n## Related pages\\n\\n- \\\"Activations Overview\\\"\\n- \\\"Reserved Platform Events\\\"\\n\",\"createdAt\":\"2022-12-29\",\"documentId\":\"platform:activations/graph-steps.md\",\"lastModifiedAt\":\"2025-12-31\",\"path\":\"activations/graph-steps.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Activation Graph Steps\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405283.2935722, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 81, "message": { "role": "tool", "tool_call_id": "call_MLMtKbTXF7yYxIMaBEqnnEAK", "content": "{\"document\":{\"content\":\"# Activation Email, API, And Experiment Actions\\n\\nEmail templates are registered separately from journeys. An email template has a key, name, subject, body format, and body. Updating a template affects future draft configuration, but active activation versions execute from the email snapshot frozen when the version was activated.\\n\\nAPI connections are also registered separately. In v1, API actions use `POST` with bearer authentication and an HTTPS endpoint. Bearer token values live in platform settings secrets. Store the token as a named secret, then reference that name as `bearerTokenSecretName` when creating or updating the API connection. API connection details show `bearerTokenSecretName` when a connection has one, but never return the token value. The action log shows the endpoint and resolved request body.\\n\\nAPI bodies can be static JSON or JSONata. Static JSON must parse to an object or array. JSONata bodies are evaluated with an execution context containing the activation instance, current customer state, trigger entry, and action time. For triggered activations, the entry context includes the event that started the instance.\\n\\nWhen you write a JSONata API body, use `customer.*` for the current customer profile, `entry.*` for the activation entry, `$now()` or `$millis()` for the action time, and `_secrets.*` for platform settings secrets. The JSONata clock functions resolve to the deterministic activation step time. For example, an immediate triggered API step uses the trigger event time, a scheduled API step uses the scheduled occurrence time, and a post-wait API step uses the wait completion time. `customer.*` includes ordinary profile fields and calculated customer properties that are available on the profile, so a calculated property registered as `customer.purchaseSpend90Days` can be referenced as `customer.purchaseSpend90Days`. In a triggered activation, the event that opened the journey is available as `entry.event.*`, so a purchase-triggered API body can read values such as `entry.event.orderId`, `entry.event.amount`, or `entry.event.properties.amount`. A JSONata body can include a secret value with a reference such as `_secrets.BRAZE_API_KEY`. For example, `{\\\"orderId\\\": entry.event.orderId, \\\"cashbackAmount\\\": $round(entry.event.amount * 0.10, 2), \\\"recentSpend\\\": customer.purchaseSpend90Days, \\\"providerToken\\\": _secrets.BRAZE_API_KEY, \\\"sentAt\\\": $now()}` resolves a body based on the purchase event, the customer's current profile, the action time, and the named secret. Scheduled activations do not have `entry.event`.\\n\\nJSONata date math can compare the deterministic action time to profile datetimes. This body records the whole number of days since a datetime customer attribute:\\n\\n```jsonata\\n{\\n \\\"customerId\\\": customer.customerId,\\n \\\"daysSinceSignup\\\": $floor(($millis() - $toMillis(customer.signupAt)) / 86400000),\\n \\\"sentAt\\\": $now()\\n}\\n```\\n\\nDeleting a secret is done by setting that secret to `null`, or by setting its object `value` to `null`. Deleting a secret removes it from future `_secrets` JSONata contexts.\\n\\nExperiment steps use experiments managed in Experimentation. The referenced version cannot have an eligibility condition because the activation trigger is the entry condition. Variant payloads must use activation-flow actions, for example a variant that selects one email template and another variant that selects a different email template. Variants choose the action, not a graph branch.\\n\\nEach variant payload is an object with `type` set to `activation_flow` and one\\n`action`. Email actions reference an existing email template:\\n\\n```json\\n{\\n \\\"type\\\": \\\"activation_flow\\\",\\n \\\"action\\\": {\\n \\\"type\\\": \\\"send_email\\\",\\n \\\"emailId\\\": \\\"email_offer_reminder\\\",\\n \\\"recipientPath\\\": \\\"customer.email\\\"\\n }\\n}\\n```\\n\\nAPI actions use the same envelope and reference an existing API connection:\\n\\n```json\\n{\\n \\\"type\\\": \\\"activation_flow\\\",\\n \\\"action\\\": {\\n \\\"type\\\": \\\"call_api\\\",\\n \\\"apiConnectionId\\\": \\\"api_offer_delivery\\\"\\n }\\n}\\n```\\n\\nThe action object is not an activation graph and does not contain steps or\\ntransitions. An email action contains the customer scalar `recipientPath` it\\nwill resolve when selected. API actions use their referenced connection instead.\\n\\nActivity logs show the resulting action logs. Email logs include the frozen email snapshot and resolved recipient. API logs include the frozen API connection snapshot and resolved body. Experiment logs include the selected variant and activation-flow action.\\n\\nReferenced schema paths, scheduled segments, and experiment versions are protected while an activation can still use them. If a delete, type change, segment update, or experiment lifecycle action would break an active or draft activation, the product rejects the change and reports the blocking activation version.\\n\\n## Related pages\\n\\n- \\\"Activations Overview\\\"\\n- \\\"Activation Graph Steps\\\"\\n- \\\"Platform Settings\\\"\\n\",\"createdAt\":\"2021-10-05\",\"documentId\":\"platform:activations/email-api-and-experiments.md\",\"lastModifiedAt\":\"2023-09-27\",\"path\":\"activations/email-api-and-experiments.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Activation Email, API, And Experiment Actions\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405283.2938418, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 82, "message": { "role": "tool", "tool_call_id": "call_ZOTKaxO04lXQ330k1uwHCbbe", "content": "{\"document\":{\"content\":\"# Activations Overview\\n\\nActivations orchestrate deterministic customer journeys from CDP data. An activation can start from a saved scheduled audience or from a newly accepted behavioral event. Each activation has a stable parent record and one or more versions. The parent owns the business name and key; the version owns the trigger, restart mode, and journey graph.\\n\\nActivation versions move through `draft`, `active`, `disconnected`, and `terminated` states. Draft versions can be edited. Active versions can create new customer instances. Disconnected versions stop new entries while existing instances continue. Terminated versions stop new entries and cancel running or waiting instances pinned to that version.\\n\\nEach activation graph contains one `START` step and one `TERMINAL` step. Paths through the graph can include duration waits, absolute wait-until deadlines, email sends, API calls, experiment-wrapped activation actions, conditions, and add or remove tag steps. Runtime instances are persisted per customer, so teams can inspect triggered or scheduled entries, meaningful step entries and exits, waits, action logs, cancellations, and terminal completions through logs.\\n\\nMeaningful journey steps also emit reserved CDP platform events. `activation:stepEntered` records that a customer entered a wait, email, API, experiment, condition, add tag, or remove tag step. `activation:stepExited` records the outcome and the next step selected by that outcome. These events appear in customer event history, can be used in segmentation, and can trigger follow-up activations.\\n\\nJourneys can add and remove short-lived customer tags on the reserved `customer.tags` profile field. Tags expire automatically, can be read by segmentation and activation conditions, and cannot be set directly through customer updates.\\n\\nCreating an activation parent also creates version `1` in draft state. The initial draft uses the supplied trigger and restart mode with a minimal valid graph from `START` to `TERMINAL`. Update the draft activation version when the journey needs additional graph steps before activation.\\n\\nOnly one version of the same activation can be active at a time. To replace an active journey, disconnect or terminate the current version, create or update a draft version, then activate the replacement.\\n\\nLifecycle audits are persisted for replay and auditability, while activity logs focus on customer journey activity rather than activation configuration changes.\\n\\n## Related pages\\n\\n- \\\"Activation Graph Steps\\\"\\n- \\\"Reserved Platform Events\\\"\\n\",\"createdAt\":\"2024-03-22\",\"documentId\":\"platform:activations/overview.md\",\"lastModifiedAt\":\"2025-07-12\",\"path\":\"activations/overview.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Activations Overview\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405283.294036, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 83, "message": { "role": "tool", "tool_call_id": "call_gqsikYqClz7TKA4nTs6e4AsO", "content": "{\"limit\":5,\"minScore\":0.75,\"product\":\"cdp\",\"results\":[{\"contentAvailable\":true,\"createdAt\":\"2022-11-02\",\"documentId\":\"platform:cdp/ingestion/event-transformations.md\",\"lastModifiedAt\":\"2024-02-10\",\"path\":\"cdp/ingestion/event-transformations.md\",\"product\":\"cdp\",\"queries\":[\"transformation JSONata eventType identifiers timestamp\"],\"score\":5.41,\"snippets\":[\"```jsonata { \\\"eventType\\\": eventType, \\\"identifiers\\\": identifiers, \\\"timestamp\\\": timestamp, \\\"properties\\\": { \\\"amount\\\": prop\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Event Transformations\"},{\"contentAvailable\":true,\"createdAt\":\"2020-08-21\",\"documentId\":\"platform:cdp/activation/event-streaming.md\",\"lastModifiedAt\":\"2021-08-09\",\"path\":\"cdp/activation/event-streaming.md\",\"product\":\"cdp\",\"queries\":[\"transformation JSONata eventType identifiers timestamp\"],\"score\":3.32,\"snippets\":[\"- `event.eventRecordId`, `event.eventType`, `event.timestamp`, and `event.properties`; - `identifiers`, keyed by regist\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Event-stream destinations and mappings\"},{\"contentAvailable\":true,\"createdAt\":\"2023-06-20\",\"documentId\":\"platform:cdp/ingestion/transform-sendgrid-events.md\",\"lastModifiedAt\":\"2024-11-10\",\"path\":\"cdp/ingestion/transform-sendgrid-events.md\",\"product\":\"cdp\",\"queries\":[\"transformation JSONata eventType identifiers timestamp\"],\"score\":2.91,\"snippets\":[\"```json { \\\"eventType\\\": \\\"sendgrid.event\\\", \\\"identifiers\\\": {\\\"cookieId\\\": \\\"sendgrid-raw:sgraw_000001\\\"}, \\\"timestamp\\\": \\\"2026-0\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Transform SendGrid provider events\"},{\"contentAvailable\":true,\"createdAt\":\"2022-09-06\",\"documentId\":\"platform:cdp/ingestion/event-stream-reprocessing.md\",\"lastModifiedAt\":\"2023-04-02\",\"path\":\"cdp/ingestion/event-stream-reprocessing.md\",\"product\":\"cdp\",\"queries\":[\"transformation JSONata eventType identifiers timestamp\"],\"score\":2.39,\"snippets\":[\"If an active transformation exists for the selected ordinary event type, reprocessing evaluates that transformation aga\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Event Stream Reprocessing\"},{\"contentAvailable\":true,\"createdAt\":\"2022-12-30\",\"documentId\":\"platform:cdp/ingestion/inbound-webhooks.md\",\"lastModifiedAt\":\"2024-10-22\",\"path\":\"cdp/ingestion/inbound-webhooks.md\",\"product\":\"cdp\",\"queries\":[\"transformation JSONata eventType identifiers timestamp\"],\"score\":2.32,\"snippets\":[\"\\u2026e incoming data, register a generic raw event type, configure an existing JSONata event transformation, and set the we\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Generic inbound webhooks\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405283.294218, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 84, "message": { "role": "assistant", "tool_calls": [ { "id": "call_tarOtPxzD1LrJczAkQ99xQzh", "type": "function", "name": "fetch_document", "arguments": "{\"documentId\":\"platform:cdp/ingestion/event-transformations.md\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": "gAAAAABqmOYhnsWfYi6fBhAi-LcDaod1deotww-HMvqyTOIIwd_qnRkO_xhnrBA2gk8qrEpCo2-lVmNxPWsN4Fz46HI8cmxdS6As5j_xhKW6ZqufLt_EY06JbN7EKoz7WitEyZhExR8I_Jf0f-r8ZquHfVEkGbR7vM4dvg_WqJB5IAb_1mNr54XpyiACmCaiWqWs0P9T8gZBRu17LFZv69msjMZbRVIuaHwhDcJ9w4bcjJCqNKTZJVrlJjeIXdvu_VnsaNwgkfmj5waqDWWRW5sIeo1ZoiSqI6R3MVQOcioCDYUmPrpDQM0zWFjYTqkfgDH9j0lwWDR-vv2m2sOjtYpDfNFXwyKrfOyC8vIQA6ialHXyAy74sXDH7RVC9sFoYQxCQ2D4KyZSw8jh2N_-SXpQd31G-XsL23hzqyd_r63tRrvLFje26M277tAfjYn2WJGZRVFcSkLZLjnIY2EbM-ruEzZA9AJm2xufNm8rd5eiHIBo1dYaIZYsBIkXk3OrV7z4iTU0aeltEdD-MlB-9uWN4XqrRv1jPvP4KD_Kx2HbEHx7mup8l2-fG0D23rD5XAxl9vxdXJ6y1Nq9GpsdnQtD5NmpvGqAOQM72BDMvrWGEBDhGSac5GCL5ODioqEyMVSKej5tGYOL1kO9dsg0aaVSndL3XjDaBSol8ebGZfEs-cFV0nVJaw8c9Vt5IG1KjyGtq1dDx5kQN1ybL1PI14Sah56Wj4X5EH56gVMubMFsCfEyfMyP8PuApUKX5aWlAS6oYCRAQhsmliX7JGJLRL1sd_LvWZRok1iywyafUYX3uG7cOeoQqmuvXGixLa9nb2bRFjww2Ec4WypuM-CES0KzJ_Mn7v0i9WbTPjddqFn48N6ruKlVonEsyy_DSG-GKEih19vcM3eI3_pzQoaoqr8v8MScXYrV3GBmgxwqJLNH-coyM-9d9ElcfoNbYI4H9mX40JLf4KC5zs-yxTx0LZsm__HDcVkGogvfzs9HQ9PVWdsB1rsN1EbJP-_Xv_lWxFeBCNXtf7fP-ZCoDQsHCtGWoJBuLYko365pfx8YG4LEoHM8EeyvvlvLWuLro8aIrF4uLM-7R9xzwFN1eY5sSp2KToX-MaTyYCWyKEEtZLncVkvUnQ0wlosinPie_XhMsEUdPlREqW5F0b184I3G2Ldv_o4R9omXDjd_Pd6a_PuxtOh3wSyhTlXlNZfmdLhjGj5lYo1A1eDTydVdX2maPoAcJOoAFA_kVSrrdK1M_Xt-bjPFuAwABlF0RsH8dWImrePL7AwJdx_ALO9pLdH4znJBrXHn-utQ01sXF2OScvC-0i2_feP2mMJaYtkx-16NjR4VHWPCoIRhfnZeqNMNlgEzFH5t1QmXcZDEA0lp5YX4qNdXQJEqXBI=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e621134487d199219db422ba5033", "index": 0 } ] }, "sampled": true, "timestamp": 1788405283.294379, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 85, "message": { "role": "tool", "tool_call_id": "call_tarOtPxzD1LrJczAkQ99xQzh", "content": "{\"document\":{\"content\":\"# Event Transformations\\n\\nEvent transformations let the CDP normalize, split, or drop incoming behavioral events before they become accepted activity. A transformation is configured for one ordinary source event type and contains an ordered list of JSONata expressions.\\n\\nUse transformations when the raw event is structurally useful but not yet shaped like the active CDP schema. The raw submission remains stored for audit and explicit event stream reprocessing; accepted transformed outputs are what appear in activity logs, calculated customer properties, segments, and experiment metrics.\\n\\n## Managing transformations\\n\\nTeams can inspect active transformations, manage the active transformation for a source event type, and preview a transformation before saving or reprocessing data.\\n\\nPreview evaluates JSONata syntax against a representative event without writing data. It returns each expression's raw JSONata output plus the CDP validation result that output would receive.\\n\\n## Source event rules\\n\\nTransformations can be created only for registered, active, ordinary event types.\\n\\nUse an optional deduplication-key expression when the source can retry the same business event. The expression must return a non-empty scalar, such as a provider event ID or transaction ID. After one source event with that key produces an accepted output, the transformation suppresses later events with the same key.\\n\\nDeduplication applies within that transformation; it does not prevent the upstream system from sending retries. Choose a stable identifier supplied by the source. Names, processing timestamps, and recipient identities are poor deduplication keys because they can group unrelated events or change between attempts.\\n\\nReserved and system-derived source events are protected.\\n\\nOnly one active transformation can exist for a source event type. Fanout comes from multiple expressions inside that one transformation.\\n\\nTransformed event outputs do not trigger another transformation, even when the output event type has its own transformation. Put the full split or normalization logic in the source event's ordered expression list.\\n\\n## JSONata input and output\\n\\nEach JSONata expression receives the original submitted event object as the input root.\\n\\nExample input:\\n\\n```json\\n{\\n \\\"eventType\\\": \\\"raw:purchase\\\",\\n \\\"identifiers\\\": {\\\"userId\\\": \\\"u_123\\\"},\\n \\\"timestamp\\\": \\\"2026-05-11T12:00:00Z\\\",\\n \\\"properties\\\": {\\\"amount\\\": 49.99, \\\"currencyType\\\": \\\"real\\\"}\\n}\\n```\\n\\nEach expression must return either one complete CDP ingestion object or `null`.\\n\\nReturning `null` skips that expression for that source event. Arrays and scalar values are not valid transformation outputs.\\n\\nOutput objects must match existing CDP schema. Transformations do not auto-register event types, event properties, or customer attributes. Create and update validate JSONata syntax only; schema validation happens when an output object is evaluated during preview, live ingestion, or explicit reprocessing.\\n\\nEvent outputs may use any registered active event type, including the same event\\ntype as the source. Some reserved output event types such as `identify`,\\n`experiment:assigned`, or system-derived `experiment:converted` are allowed when\\nthe emitted object is valid for that event type. Activation step events are\\nemitted only by the activation runtime.\\n\\nAlways preserve identifiers and timestamp unless the business rule intentionally changes them:\\n\\n```jsonata\\n{\\n \\\"eventType\\\": \\\"commerce:purchase_completed\\\",\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"amount\\\": properties.amount,\\n \\\"currency\\\": properties.currency\\n }\\n}\\n```\\n\\n## Transform in place\\n\\nEmit the same `eventType` when the business event is correct but the property shape needs repair:\\n\\n```jsonata\\n{\\n \\\"eventType\\\": eventType,\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"amount\\\": properties.total,\\n \\\"sku\\\": properties.item.sku\\n }\\n}\\n```\\n\\nThe raw source submission is not mutated. During live ingestion, accepted transformed outputs become the visible activity instead of the raw source event.\\n\\n## Fanout\\n\\nUse multiple named expressions to split one source event into multiple downstream outputs.\\n\\nReal-currency purchase:\\n\\n```jsonata\\nproperties.currencyType = \\\"real\\\" ? {\\n \\\"eventType\\\": \\\"commerce:real_currency_purchase\\\",\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"amount\\\": properties.amount,\\n \\\"currency\\\": properties.currency\\n }\\n} : null\\n```\\n\\nGame-currency spend:\\n\\n```jsonata\\nproperties.currencyType = \\\"game\\\" ? {\\n \\\"eventType\\\": \\\"game:currency_spent\\\",\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"coins\\\": properties.amount,\\n \\\"currency\\\": properties.currency\\n }\\n} : null\\n```\\n\\nDo not return an array to split outputs. Use one expression per possible output.\\n\\n## Normalize strings into categories\\n\\nUse JSONata conditionals for business taxonomy mapping, such as a five-region country grouping:\\n\\n```jsonata\\n{\\n \\\"eventType\\\": eventType,\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"region\\\": properties.country in [\\\"United States\\\", \\\"USA\\\", \\\"Canada\\\"] ? \\\"North America\\\" :\\n properties.country in [\\\"France\\\", \\\"Germany\\\", \\\"GB\\\", \\\"United Kingdom\\\"] ? \\\"Europe\\\" :\\n properties.country in [\\\"Japan\\\", \\\"Singapore\\\", \\\"Australia\\\"] ? \\\"APAC\\\" :\\n properties.country in [\\\"Brazil\\\", \\\"Mexico\\\"] ? \\\"LATAM\\\" :\\n \\\"Other\\\"\\n }\\n}\\n```\\n\\n## Split compound campaign strings\\n\\nJSONata functions such as `$split` can parse attribution strings:\\n\\n```jsonata\\n(\\n $parts := $split(properties.campaignName, \\\"_\\\");\\n {\\n \\\"eventType\\\": \\\"marketing:ad_click\\\",\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"channel\\\": $parts[0],\\n \\\"optimizationGoal\\\": $parts[1],\\n \\\"campaignFlight\\\": $parts[2],\\n \\\"creativeId\\\": $parts[3],\\n \\\"originalCampaignName\\\": properties.campaignName\\n }\\n }\\n)\\n```\\n\\nFor `FB_ROAS_July132_Creative1231231`, this emits `channel = \\\"FB\\\"`, `optimizationGoal = \\\"ROAS\\\"`, `campaignFlight = \\\"July132\\\"`, and `creativeId = \\\"Creative1231231\\\"` when those properties exist in the output event schema.\\n\\n## Inline helper functions\\n\\nYou can define JSONata helper functions inside one expression when repeated cleanup logic would make the output harder to read:\\n\\n```jsonata\\n(\\n $clean := function($value) { $uppercase($trim($value)) };\\n {\\n \\\"eventType\\\": \\\"marketing:ad_click\\\",\\n \\\"identifiers\\\": identifiers,\\n \\\"timestamp\\\": timestamp,\\n \\\"properties\\\": {\\n \\\"channel\\\": $clean(properties.channel),\\n \\\"campaignFlight\\\": $clean(properties.flight)\\n }\\n }\\n)\\n```\\n\\nInline helper functions are scoped to the expression that defines them. They are not shared with other expressions in the same transformation, saved as platform functions, or available in unrelated transformations.\\n\\nThe expression still has to return one complete CDP ingestion object or `null`. Returning a helper function or a scalar helper result is not a valid transformation output.\\n\\n## Related pages\\n\\n- \\\"Submit Behavioural Events\\\"\\n- \\\"Event Stream Reprocessing\\\"\\n- \\\"Schema Registry\\\"\\n- \\\"Event Properties\\\"\\n- \\\"Activity Logs\\\"\\n- \\\"Calculated Customer Properties\\\"\\n- \\\"Event List and Sequence Syntax\\\"\\n- \\\"Success Metrics and Conversions\\\"\\n- \\\"Reserved Experiment Events\\\"\\n\",\"createdAt\":\"2022-11-02\",\"documentId\":\"platform:cdp/ingestion/event-transformations.md\",\"lastModifiedAt\":\"2024-02-10\",\"path\":\"cdp/ingestion/event-transformations.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Event Transformations\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405320.818635, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 86, "message": { "role": "assistant", "tool_calls": [ { "id": "call_CPqLXK4krLZrZ8ML6EykoYvy", "type": "function", "name": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e638836887d1bd9a62b5b26334d0", "index": 1 } ] }, "sampled": true, "timestamp": 1788405320.818772, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 87, "message": { "role": "tool", "tool_call_id": "call_CPqLXK4krLZrZ8ML6EykoYvy", "content": "{\"eventType\":\"raw:mobile-push\",\"persisted\":false,\"results\":[{\"index\":0,\"name\":\"canonical_mobile_attribution\",\"output\":{\"campaignId\":\"hty_prestige_july\",\"conversionType\":\"install\",\"eventType\":\"mobile:attribution\",\"identifiers\":{\"appsFlyerId\":\"af_id_test_123\"},\"properties\":{},\"timestamp\":\"2026-07-22T11:59:00Z\"},\"status\":\"emitted\",\"validation\":{\"errors\":[{\"code\":\"missing_required_property\",\"message\":\"Missing required property: campaignId\",\"path\":\"properties.campaignId\",\"severity\":\"error\"},{\"code\":\"missing_required_property\",\"message\":\"Missing required property: conversionType\",\"path\":\"properties.conversionType\",\"severity\":\"error\"}],\"normalizedCustomerUpdate\":null,\"normalizedEvent\":null,\"outputType\":\"event\",\"status\":\"rejected\"}}],\"status\":\"accepted\"}", "name": "preview_event_transformation" }, "sampled": false, "timestamp": 1788405336.447233, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 88, "message": { "role": "assistant", "reasoning_content": "**Adjusting schema properties**\n\nI’m noticing that the fetch schema displays campaignId at the top level, but validation expects properties to be formatted differently. So the output should reflect that by including properties like this: properties: {campaignId: body.campaign_id, conversionType: body.event_type}. It seems the existing documentation might have some confusion regarding top-level formatting. Additionally, the activation condition uses entry.event.properties.conversionType and API bodies utilize entry.event.properties.campaignId. It's important to keep in mind the user's specific event details!", "tool_calls": [ { "id": "call_jtvswRF5PaFvhc7TWj0zQ6xY", "type": "function", "name": "preview_event_transformation", "arguments": "{\"eventType\":\"raw:mobile-push\",\"expressions\":[{\"name\":\"canonical_mobile_attribution\",\"syntax\":\"{\\\"eventType\\\":\\\"mobile:attribution\\\",\\\"identifiers\\\":{\\\"appsFlyerId\\\":body.appsflyer_id},\\\"timestamp\\\":body.event_time,\\\"properties\\\":{\\\"campaignId\\\":body.campaign_id,\\\"conversionType\\\":body.event_type}}\",\"description\":\"Restore the canonical Hospital Tycoon attribution event from the AppsFlyer Push body.\"}],\"event\":{\"eventType\":\"raw:mobile-push\",\"identifiers\":{\"cookieId\":\"raw-push-test\"},\"timestamp\":\"2026-07-22T12:00:00Z\",\"properties\":{},\"body\":{\"appsflyer_id\":\"af_id_test_123\",\"event_type\":\"install\",\"event_time\":\"2026-07-22T11:59:00Z\",\"campaign_id\":\"hty_prestige_july\",\"organic_status\":\"non-organic\"},\"headers\":{},\"method\":\"POST\",\"query\":{},\"webhookId\":\"whk_7m4q2r\"},\"limit\":1}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Adjusting schema properties**\n\nI’m noticing that the fetch schema displays campaignId at the top level, but validation expects properties to be formatted differently. So the output should reflect that by including properties like this: properties: {campaignId: body.campaign_id, conversionType: body.event_type}. It seems the existing documentation might have some confusion regarding top-level formatting. Additionally, the activation condition uses entry.event.properties.conversionType and API bodies utilize entry.event.properties.campaignId. It's important to keep in mind the user's specific event details!", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e650af3487d1833e1dec541e56b2", "index": 1 } ] }, "sampled": true, "timestamp": 1788405336.447941, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 89, "message": { "role": "tool", "tool_call_id": "call_jtvswRF5PaFvhc7TWj0zQ6xY", "content": "{\"eventType\":\"raw:mobile-push\",\"persisted\":false,\"results\":[{\"index\":0,\"name\":\"canonical_mobile_attribution\",\"output\":{\"eventType\":\"mobile:attribution\",\"identifiers\":{\"appsFlyerId\":\"af_id_test_123\"},\"properties\":{\"campaignId\":\"hty_prestige_july\",\"conversionType\":\"install\"},\"timestamp\":\"2026-07-22T11:59:00Z\"},\"status\":\"emitted\",\"validation\":{\"errors\":[],\"normalizedCustomerUpdate\":null,\"normalizedEvent\":{\"eventType\":\"mobile:attribution\",\"identifiers\":{\"appsFlyerId\":\"af_id_test_123\"},\"properties\":{\"campaignId\":\"hty_prestige_july\",\"conversionType\":\"install\"},\"timestamp\":\"2026-07-22T11:59:00Z\"},\"outputType\":\"event\",\"status\":\"accepted\"}}],\"status\":\"accepted\"}", "name": "preview_event_transformation" }, "sampled": false, "timestamp": 1788405356.023642, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 90, "message": { "role": "assistant", "tool_calls": [ { "id": "call_QXPPtk0oOG7rT6lxoi7Qlisj", "type": "function", "name": "manage_appsflyer_push_endpoint", "arguments": "{\"action\":\"update\",\"pushEndpointId\":\"push_3k8m1v\",\"name\":\"Prestige mobile feed\",\"method\":\"POST\",\"outputFields\":[\"appsflyer_id\",\"event_type\",\"event_time\",\"campaign_id\",\"organic_status\"],\"messageSelections\":[{\"messageType\":\"install\",\"scopes\":[\"non_organic\"]},{\"messageType\":\"re_attribution\",\"scopes\":[\"non_organic\"]}]}" }, { "id": "call_mtHVjVpxL0btaB8sLn9haO4a", "type": "function", "name": "manage_event_transformation", "arguments": "{\"action\":\"create\",\"eventType\":\"raw:mobile-push\",\"expressions\":[{\"name\":\"canonical_mobile_attribution\",\"syntax\":\"{\\\"eventType\\\":\\\"mobile:attribution\\\",\\\"identifiers\\\":{\\\"appsFlyerId\\\":body.appsflyer_id},\\\"timestamp\\\":body.event_time,\\\"properties\\\":{\\\"campaignId\\\":body.campaign_id,\\\"conversionType\\\":body.event_type}}\",\"description\":\"Restore the canonical Hospital Tycoon attribution event from the AppsFlyer Push body.\"}],\"deduplicationKeyExpression\":\"body.appsflyer_id & \\\"|\\\" & body.event_type & \\\"|\\\" & body.event_time & \\\"|\\\" & body.campaign_id\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e660480887d1a9c36cc7e04db8e3", "index": 0 } ] }, "sampled": true, "timestamp": 1788405356.023754, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 91, "message": { "role": "tool", "tool_call_id": "call_QXPPtk0oOG7rT6lxoi7Qlisj", "content": "{\"pushEndpoint\":{\"appsFlyerAppId\":\"afapp_6m4q2p\",\"createdAt\":\"2026-06-03T09:22:00Z\",\"endpointUrl\":\"https://events.martechbench.com/v2/tenants/htytenant2268/webhook/htyraw4517?writeKey=whsec_hty_mobile_4517\",\"hasAuthorizationToken\":true,\"lastTest\":{\"authorizationOmitted\":true,\"statusCode\":200,\"success\":true},\"maskedAuthorizationToken\":\"*************-old\",\"messageSelections\":[{\"messageType\":\"install\",\"scopes\":[\"non_organic\"]},{\"messageType\":\"re_attribution\",\"scopes\":[\"non_organic\"]}],\"method\":\"POST\",\"name\":\"Prestige mobile feed\",\"outputFields\":[\"appsflyer_id\",\"event_name\",\"event_time\",\"event_type\",\"media_source\",\"campaign\",\"campaign_id\",\"organic_status\"],\"pushEndpointId\":\"push_3k8m1v\",\"revision\":3,\"status\":\"active\",\"updatedAt\":\"2026-01-01T00:01:12Z\"},\"status\":\"accepted\"}", "name": "manage_appsflyer_push_endpoint" }, "sampled": false, "timestamp": 1788405374.251353, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 92, "message": { "role": "tool", "tool_call_id": "call_mtHVjVpxL0btaB8sLn9haO4a", "content": "{\"status\":\"accepted\",\"transformation\":{\"createdAt\":\"2026-01-01T00:01:15Z\",\"deduplicationKeyExpression\":\"body.appsflyer_id & \\\"|\\\" & body.event_type & \\\"|\\\" & body.event_time & \\\"|\\\" & body.campaign_id\",\"deletedAt\":null,\"eventType\":\"raw:mobile-push\",\"expressions\":[{\"description\":\"Restore the canonical Hospital Tycoon attribution event from the AppsFlyer Push body.\",\"name\":\"canonical_mobile_attribution\",\"syntax\":\"{\\\"eventType\\\":\\\"mobile:attribution\\\",\\\"identifiers\\\":{\\\"appsFlyerId\\\":body.appsflyer_id},\\\"timestamp\\\":body.event_time,\\\"properties\\\":{\\\"campaignId\\\":body.campaign_id,\\\"conversionType\\\":body.event_type}}\"}],\"status\":\"active\",\"transformationId\":\"evt_transform_000001\",\"updatedAt\":\"2026-01-01T00:01:15Z\"}}", "name": "manage_event_transformation" }, "sampled": false, "timestamp": 1788405374.251888, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 93, "message": { "role": "assistant", "reasoning_content": "**Clarifying experiment process**\n\nI'm working on how to create a clear metric before starting an experiment, which will help avoid ambiguity. It makes sense to develop the metric first, then build the experiment based on that. I think I should fetch the existing metric precisely, perhaps simultaneously with getting the onboarding experiment, but I’m not sure if that second part is necessary. It feels like I might be overcomplicating things a bit.", "tool_calls": [ { "id": "call_eBLjR1FEvMYVOaQSgxXR7dLw", "type": "function", "name": "get_ab_metric", "arguments": "{\"metricId\":\"metric_5n8r2q\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Clarifying experiment process**\n\nI'm working on how to create a clear metric before starting an experiment, which will help avoid ambiguity. It makes sense to develop the metric first, then build the experiment based on that. I think I should fetch the existing metric precisely, perhaps simultaneously with getting the onboarding experiment, but I’m not sure if that second part is necessary. It feels like I might be overcomplicating things a bit.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOZ8H3u-AVVw-OH1ogSMJ-yiRPw6IeJMlwVkysvYqA5IeWHPaU70SL7_51jZdshgHQpvS0nZJJom18twgsJtrfZIXY1tF4Khx-OlCmrOz8fBbU_lXlfsHP2cxssPBHID-n16oTSmHdURQbUPuv04SRwG-dQuX7kuTscQNd9SocOuo1GQDGga40SyEEGLDQAEuourMUWG4rCW6jnE12xIOb55GRuc8LIMrPxw3qN1Fki6KJxs53sy9sqxLqhV4x3vVUhjckIH4LKjnsipbwpg95ecspQ0SP4D08dodlwCUXwkco_YN4CtrekK6bH-7x9dlXGGU6A3waYvX_cwFWk5gO_s0hX_SdeY1xHgVnJj3UMQnlD8ZcTSe_ro3NwG2cOi-4uE2DjB4QJ7rrZCibOXWIapHaqpUI7nnYqA-BiNVUphr1Nr8DIWfHANSSoh3ezUKZ-aI11mpraQ_ew468iuFvGA2XoDDlrWOCcJmfeCPal-PCn7A47ew0Hi740ZlUh1RiQ8lY0-v70qM7yKtReYLMePxammPn30BDg1euLqwsbO3-NMq2kLIu8msjfwozC4xkJEDP512ZRKlIORzGEnqPTAeVoSVrzLuGbd9xdM9ZCDjcD-IBez43R6e5xcYk6sG2t6CX-tW783ALwHfQmNEMbP3COJbkTRZbmXGSclxrRsBJWYc9KcAzCt5YU5JY3A5m991DySplp-hYdUNSWKrccZebxhi3SY9d4IDbUyVRVfZkpt5y0KektwGGPGDoa8ZF79n7mGwnT1u_bbPCYQnDivkGxZAWfAj3WR9zf8pjVwOFRRW2Xkhr-yd-bGwO75aRf3f0UnLiJNKD0YGF49uXNk5Nmji57lvHPqMZoJ6mB4rrFBwU_TboAHVWox0y8vQOPuAwRhirxjx485-kXNwXy_BmPqlQqbv5RdomccJ3B_El3S3yqVk4NWLfaIgsH6VywY494jupFqeRR3D-fuEjXvZ5xjGDJxzfKkXAqSVLPYhLxe7iM7GUmI7w3RPLc4WHpiEzP_atNyezAEv-RHzb3WF38WR2dg89M6geNyGUy6joc2p4E7P_t4WHQZKOBOFsRYtEV30dSlnzA-tzkVveSwFUq17be32JHyQOtKAqBNThyN9x5PB108JHmkg81-jpXZsvUzRFk7U1wCyl09ijNRNKYUarIoTRjsazJ1j-lU4q44_ITwZWb9DgvYIBPvoc4Ncn-r4TxrxYEmBp18QX-t2HEN1jOfWLs5pjEIXdD63iFgHcFPhddp2qM6ypz77ear3o72jhDAQPMX9VsJezfLu5vmEQOEZOEnsrNMtcOzXVUT-wjBC1dXL4qhfECeNNtyFU_seVG8o3VnajV3MAHMgBUCI07kFMPC4tYL47JJum32i1NfI0IOo9PhV25RJSx8AaE6_z7nKuu4UzQvcfbEPIsdNy6SnGebfFIqRrJII00b5vv2FyTNEpWzV4U3lNixgkJlNtXBGFdWeRIBUnKpUbQDkOXNFkpyXwa1Zk9aZl_7b6txlSi3IiWLagnyaGnvtOqY1oOx2uGdu2BYyUYq9aD2dkI3lVdDUjK3-b35IztGt-GM7CNxs-SaQSgLk5pV96Qv0LLhXsMm70l5Svooiu5dSuoTo4kKDCdUSNkjv6a8tEA3c0jY2feMjO3qwNsEQYWvRNEC609ppZCsO1Abau03MGCk354MUxTap_QQPloHUoFfeVNpbjG8g_SskenaNVuuizoe4eNpdOAsjLN0NPFWcE_8hOJavxmqT3gRjPmFM1y275mr7UGoe4IDT6jvTrjPWsQoEX4-oAt4M-JAvvZvsOpKcxdTpE5SMpTqbKS1MQIdk0iVwvW6J90_lL6wKxlrSOMoycgHicxN1F_cbIdkyxsVepJOcQEsPhpSsvyKLtanYGuhpaqP3C6I_XSsUtJdyg2Jjh8tUCE9TcEOhHrAbp_LuEsleNYnz7WAzDg2Xe0qynBCGtX62bnn4V6xu1AihzcaDg1vcJifDj0CvrKsj8NyvZ3Rv7W9PzWuEFaskTHJNT92-g0s2hY43-NviNK1Z0l0l3SJa3hQ8CA1XsfBgpdjxDcVRqVaYdrLdhQqE44trAr-L_MFJWkxSz2QJCyw2y3d-KggGTnQA1M2SZbtwo0IFq1mqUU4nMBFvaul770EMi7cj-WIKGGjN23X5l3yW_y2mzIp2lCI-zWONB0TFWPs1cXJA-eSKUEhZ84BwiTutfOfuy4uIq7muxQ6i1XkB1g0VCA2ZfLZd0y1SthHt70bd51iYLvzqRFb0CUejRUXdbqMOig-nDWVsmbtqMRNBys-1hCnS_Y8fKjvBfZyeYA48LA3t8faPsIc5u4QMj68dWYUTMZ8ISGQ7AVh-gCUidPnMzYB7R1TLpd4ISQxIXiOFtaW1-Yiun5c67ocGUEADrEGfvIN38HQC94yE5Yjim7SYrss1A5yedJFlwQurq0Or4aCqx_WT76RvE9BBqA3EI76jEpN71QfqeXPYPYAZt3utgrC5zE00CkjwC2P4xhKum35AyqQxA7pdw-hzw5MOzWufdit4MRqgIj87mTSsLPnPY7uSQlN2Wr31eLXz_fXSlxaafyPkInp6vefauFi-KTgv_eqhozbsPm7Z85-AElC9FQahxrzFJvrtxwFYtCB4oMWwTyd9Eb-pApzYetNtdRewt--1Kn-CZlValAZ6BIaEcSyXc7ifQqks6qyVQ0g49Kwrq18M_lYr49VihQDFrzk3Z5TKWJ6uYOsbgagYyf6vaqBh6qG47zZnfgqJP-aWqr5OYfoYYOQPiWiSS3MI2B61z7PJlySGBVBWIdRAO2jm97XqJmNsyxHzG-YkJsUTff2Nguf0CM_8woXq1aP7jyjN9kfsduCL4i4bvU7dQ5zPoY30lrMXTg1u_Mvji7OnOXL_fEmYLWlNNW-0XpmkCfh8Gc7K1epIMsI6TUCiVGmmJuGPo_-6eXD0xSB-ikQ3ouIgfDx3dZpztoyqKCl9hFoaPeB7tko-kLGYskP4iNEcY9t_VZsNu7Syfq9HUKRnC-KjwUjGPV5fmkuRWXCNO8zj2fGnGjyOML60yb2cSo2WdPJyAklx0FfMOPpBKh8hJ60G6eN-cdtCacsWCBPUWfYYhowbXfUc1UpVH2znWX7TT6Y0_pqMLBC9H_GqkjAWXhkLYxH_cn6ktnZnYZPtYW7npBSA11AW0Jz.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e67346c087d1b54cf2dd95c4b3d5", "index": 1 } ] }, "sampled": true, "timestamp": 1788405374.252231, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 94, "message": { "role": "tool", "tool_call_id": "call_eBLjR1FEvMYVOaQSgxXR7dLw", "content": "{\"metric\":{\"archivedAt\":null,\"conversionType\":\"binary\",\"createdAt\":\"2026-06-12T08:30:00Z\",\"createdBy\":\"ben\",\"description\":\"Onboarding dashboard metric retained for the tutorial team.\",\"eventFilter\":\"event.lessonId is_not_empty\",\"eventType\":\"tutorial:completed\",\"key\":\"hospital_tutorial_completed\",\"metricId\":\"metric_5n8r2q\",\"modifiedAt\":\"2026-07-20T09:00:00Z\",\"name\":\"Hospital Tycoon Tutorial Completed\",\"preferredDirection\":\"increase\",\"semanticFieldsFrozen\":true,\"valuePath\":null}}", "name": "get_ab_metric" }, "sampled": false, "timestamp": 1788405393.7680352, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 95, "message": { "role": "assistant", "reasoning_content": "**Considering marketing automation**\n\nI’m noting that the user's brief mentions Mina and Devika but the agent identity is unclear. I think I should refer to the agent as \"mktg_automation\" for now. There seems to be a query about the `manage_ab_experiment` function and whether it creates an experiment draft without an initial version. It looks likely, so I’ll move on to creating the metric now. I'll keep this in mind as I proceed!", "tool_calls": [ { "id": "call_GCZsKFwTKMn3KTi3KT63fkAj", "type": "function", "name": "manage_ab_metric", "arguments": "{\"action\":\"create\",\"metricId\":\"metric_hospital_prestige_started\",\"key\":\"hospital_prestige_started\",\"name\":\"Hospital Tycoon Prestige Started\",\"description\":\"Paid Hospital Tycoon prestige recovery conversion after an approved treatment assignment.\",\"conversionType\":\"binary\",\"eventType\":\"prestige:started\",\"eventFilter\":\"event.treatment in [\\\"ward_coach\\\", \\\"quick_start\\\"]\",\"valuePath\":\"\",\"preferredDirection\":\"increase\",\"createdBy\":\"marketing_automation_agent\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Considering marketing automation**\n\nI’m noting that the user's brief mentions Mina and Devika but the agent identity is unclear. I think I should refer to the agent as \"mktg_automation\" for now. There seems to be a query about the `manage_ab_experiment` function and whether it creates an experiment draft without an initial version. It looks likely, so I’ll move on to creating the metric now. I'll keep this in mind as I proceed!", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": 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A metric has a key,\\nname, conversion type, one source event type, an optional event filter,\\npreferred direction, and optionally a value path.\\n\\nMetric filters use event-scoped syntax inside the configured event type:\\n\\n```text\\neventType: commerce:order\\neventFilter: event.amount > 0\\n```\\n\\nUse direct event paths such as `event.amount`, not `event.properties.amount`.\\nThe filter is checked against the registered schema for the selected event\\ntype. A single metric reads one event type; when one business objective needs\\nmultiple source events, normalize those sources upstream into a shared event\\ntype with event transformations, then point the metric at that joined event.\\nDerived conversion detection processes ordinary behavioural source events only.\\nIdentity records, profile updates, assignment records, and derived conversion\\nrecords are not eligible source conversion events.\\n\\nBinary metrics count whether an exposed customer has ever produced a matching\\nsource event for the experiment metric. The first matching event emits one\\n`experiment:converted` event. Later matching events do not emit more binary\\nconversions for the same customer, experiment, and metric, even after a version\\nreplacement.\\n\\nContinuous metrics attribute numeric source-event contributions. They require a\\nnumeric `valuePath`, and every matching source event with a numeric value emits\\nan `experiment:converted` event. Zero and negative values are valid\\ncontributions. The conversion event stores the source-event value, not a running\\ntotal.\\n\\nThere is no denominator filter in experiment metrics. Future reporting uses\\nassignment events as the denominator. Binary reporting can count conversion\\nevents, and continuous reporting can sum `attributedValue`.\\n\\nAfter a metric is referenced by an experiment that has ever activated, semantic\\nfields are frozen: key, conversion type, event type, event filter, value path,\\nand preferred direction. Display metadata can still be edited. Archiving a\\nmetric prevents new experiment selection but does not break existing\\nexperiments. Archived metrics that are still referenced by experiments continue\\nto protect their event schema paths from destructive schema changes.\\n\\nFor contextual bandit experiments, the primary metric is the optimization\\nobjective consumed by the allocator. Secondary metrics are reporting-only; they\\nhelp teams inspect side effects, but they do not influence real-time variant\\nallocation.\\n\\n## Related pages\\n\\n- \\\"Event Transformations\\\"\\n- \\\"Reserved Experiment Events\\\"\\n- \\\"Creating Experiments\\\"\\n\",\"createdAt\":\"2025-12-08\",\"documentId\":\"platform:experimentation/success-metrics-and-conversions.md\",\"lastModifiedAt\":\"2025-12-08\",\"path\":\"experimentation/success-metrics-and-conversions.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Success Metrics and Conversions\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405421.657595, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 99, "message": { "role": "assistant", "tool_calls": [ { "id": "call_UhHn6zWorWZX4dh3VF5AzPQl", "type": "function", "name": "manage_ab_metric", "arguments": 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Conversions\"},{\"contentAvailable\":true,\"createdAt\":\"2024-11-17\",\"documentId\":\"platform:cdp/schema/calculated-customer-properties.md\",\"lastModifiedAt\":\"2025-07-11\",\"path\":\"cdp/schema/calculated-customer-properties.md\",\"product\":\"cdp\",\"queries\":[\"eventFilter OR event.treatment equals metric filter syntax\"],\"score\":2.08,\"snippets\":[\"\\u2026aggregate configuration, including the event type, filter, aggregate type, value path, window, offset, status, and re\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Calculated Customer Properties\"},{\"contentAvailable\":true,\"createdAt\":\"2024-10-12\",\"documentId\":\"platform:experimentation/overview.md\",\"lastModifiedAt\":\"2025-06-10\",\"path\":\"experimentation/overview.md\",\"product\":\"cdp\",\"queries\":[\"eventFilter OR event.treatment equals metric filter syntax\",\"event-scoped filter == and or\"],\"score\":1.43,\"snippets\":[\"- `ab_metric`: reusable conversion definitions. - `ab_experiment`: stable experiment intent, metrics, assignment identi\\u2026\"],\"source\":\"platform_docs\",\"title\":\"Experimentation Overview\"},{\"contentAvailable\":true,\"createdAt\":\"2024-09-10\",\"documentId\":\"platform:segmentation/segment-definition-syntax.md\",\"lastModifiedAt\":\"2025-08-08\",\"path\":\"segmentation/segment-definition-syntax.md\",\"product\":\"cdp\",\"queries\":[\"eventFilter OR event.treatment equals metric filter syntax\"],\"score\":1.22,\"snippets\":[\"- Dynamic References - Event List and Sequence Syntax - Audience Condition DSL - Datetime Operator Windows\"],\"source\":\"platform_docs\",\"title\":\"Segment Definition Syntax\"}]}", "name": "search_platform_docs" }, "sampled": false, "timestamp": 1788405441.817481, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 103, "message": { "role": "assistant", "reasoning_content": "**Evaluating filter conditions**\n\nI'm exploring whether I should filter by `event.treatment == \"ward_coach\"` exclusively, without using an OR condition. It seems like the filter might be quite specific, perhaps too narrow? I'm wondering if I should use no filter at all, which could open up the possibilities. Ultimately, I think I'll consider both approaches and weigh the pros and cons of filtering against not filtering at all. Let's see what works best!", "tool_calls": [ { "id": "call_edMhVN60L27N5WCVuy8eqWhT", "type": "function", "name": "manage_ab_metric", "arguments": "{\"action\":\"create\",\"metricId\":\"metric_hospital_prestige_started\",\"key\":\"hospital_prestige_started\",\"name\":\"Hospital Tycoon Prestige Started\",\"description\":\"Paid Hospital Tycoon prestige recovery conversion after an approved treatment assignment.\",\"conversionType\":\"binary\",\"eventType\":\"prestige:started\",\"eventFilter\":\"\",\"valuePath\":\"\",\"preferredDirection\":\"increase\",\"createdBy\":\"marketing_automation_agent\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Evaluating filter conditions**\n\nI'm exploring whether I should filter by `event.treatment == \"ward_coach\"` exclusively, without using an OR condition. It seems like the filter might be quite specific, perhaps too narrow? I'm wondering if I should use no filter at all, which could open up the possibilities. Ultimately, I think I'll consider both approaches and weigh the pros and cons of filtering against not filtering at all. 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Organic installs are excluded before assignment; only paid installs and re-attributions enter.\",\"experimentType\":\"frequentist\",\"assignmentIdentifierPath\":\"customer.appsFlyerId\",\"randomisationSeed\":\"hospital-tycoon-prestige-july-2026\",\"primaryMetricId\":\"ab_metric_000001\",\"secondaryMetricIds\":[],\"author\":\"mina.rao\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": 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Audience-condition v1 and v2 definitions use the audience-condition DSL string syntax instead.\\n\\nUse this page as the syntax map. For the exact wrapper and validation behavior for each audience type, use the audience-specific pages.\\n\\n## Choose the right syntax page\\n\\n| Audience type | Use this page |\\n|---|---|\\n| `standard` | Standard Audience Syntax |\\n| `real_time` | Real-Time Audience Syntax |\\n| `audience_condition_v1` | Audience Condition v1 Syntax |\\n| `audience_condition_v2` | Audience Condition v2 Syntax |\\n\\nThe semantic model is shared across audience types, but the external syntax is not. Use JSON groups for `standard` and `real_time`; use DSL strings for `audience_condition_v1` and `audience_condition_v2`.\\n\\n## Base group shape\\n\\nThis JSON group shape applies to `standard` and `real_time` segment definitions.\\n\\nA group uses `operator: \\\"AND\\\"` or `operator: \\\"OR\\\"` and contains a non-empty list of `clauses`, `items`, or `conditions`.\\n\\n```json\\n{\\n \\\"operator\\\": \\\"AND\\\",\\n \\\"clauses\\\": [\\n {\\n \\\"value\\\": {\\n \\\"entity\\\": \\\"Customer\\\",\\n \\\"property\\\": \\\"plan\\\",\\n \\\"operator\\\": \\\"is_equal_to\\\",\\n \\\"value\\\": \\\"pro\\\"\\n }\\n },\\n {\\n \\\"group\\\": {\\n \\\"operator\\\": \\\"OR\\\",\\n \\\"clauses\\\": [\\n {\\n \\\"value\\\": {\\n \\\"entity\\\": \\\"Customer\\\",\\n \\\"property\\\": \\\"ltv\\\",\\n \\\"operator\\\": \\\"is_greater_than_or_equal_to\\\",\\n \\\"value\\\": 500\\n }\\n },\\n {\\n \\\"value\\\": {\\n \\\"entity\\\": \\\"Customer\\\",\\n \\\"property\\\": \\\"lifecycleStage\\\",\\n \\\"operator\\\": \\\"is_equal_to\\\",\\n \\\"value\\\": \\\"vip\\\"\\n }\\n }\\n ]\\n }\\n }\\n ]\\n}\\n```\\n\\nEach scalar clause requires `entity`, `property`, `operator`, and usually `value`.\\n\\nUse `entity: \\\"Customer\\\"` for customer attributes, registered identifiers, `canonicalCustomerId`, `identifiers`, or `events`. Use `entity: \\\"Event\\\"` only inside an event list filter or sequence step.\\n\\n## Nested object fields\\n\\nUse `nestedPath` to address fields inside an object. For example, a customer object attribute named `profile` can match `profile.marketing.smsOptIn` with:\\n\\n```json\\n{\\n \\\"entity\\\": \\\"Customer\\\",\\n \\\"property\\\": \\\"profile\\\",\\n \\\"nestedPath\\\": [\\\"marketing\\\", \\\"smsOptIn\\\"],\\n \\\"operator\\\": \\\"is\\\",\\n \\\"value\\\": true\\n}\\n```\\n\\n## Scalar operators\\n\\n| Field type | Operators |\\n|---|---|\\n| string | `is_equal_to`, `is_not_equal_to`, `contains`, `not_contains`, `is_in`, `is_not_in`, `is_empty`, `is_not_empty` |\\n| number | `is_equal_to`, `is_not_equal_to`, `is_greater_than`, `is_less_than`, `is_greater_than_or_equal_to`, `is_less_than_or_equal_to`, `is_between`, `is_empty`, `is_not_empty` |\\n| datetime | `in_the_last`, `in_the_next`, `was_before`, `was_after`, `was_on`, `was_between`, `is_on`, `will_be_on`, `will_be_after` |\\n| boolean | `is`, `is_not`, `is_known`, `is_not_known` |\\n| object | `is_empty`, `is_not_empty` |\\n| list | `contains_item`, `not_contains_item`, `count_matches`, `contains_sequence`, `is_empty`, `is_not_empty` |\\n\\n`is_empty`, `is_not_empty`, `is_known`, and `is_not_known` do not accept `value`. `is_in` and `is_not_in` require an array of strings. Numeric `is_between` requires `{ \\\"from\\\": number, \\\"to\\\": number }`.\\n\\n## Audience-condition DSL\\n\\nAudience-condition definitions are strings:\\n\\n```text\\ncustomer.plan == \\\"pro\\\" AND customer.events count_matches (event => event.eventType == \\\"purchase\\\") >= 2\\n```\\n\\nThe DSL uses direct paths, uppercase `AND` and `OR`, parenthesized lambda predicates, inclusive `between` ranges, relative datetime windows, and `contains_sequence` for event sequences.\\n\\n## Shared syntax references\\n\\n- Dynamic References\\n- Event List and Sequence Syntax\\n- Audience Condition DSL\\n- Datetime Operator Windows\\n\\n## Related pages\\n\\n- Segmentation Overview\\n- Segment Types and Freshness\\n- Standard Audience Syntax\\n- Real-Time Audience Syntax\\n- Audience Condition DSL\\n- Audience Condition v1 Syntax\\n- Audience Condition v2 Syntax\\n- Datetime Operator Windows\\n\",\"createdAt\":\"2024-09-10\",\"documentId\":\"platform:segmentation/segment-definition-syntax.md\",\"lastModifiedAt\":\"2025-08-08\",\"path\":\"segmentation/segment-definition-syntax.md\",\"product\":\"cdp\",\"source\":\"platform_docs\",\"title\":\"Segment Definition Syntax\"}}", "name": "fetch_document" }, "sampled": false, "timestamp": 1788405602.512087, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 122, "message": { "role": "assistant", "tool_calls": [ { "id": "call_LTcf1K5tM2y4WioG3HS6q9Bl", "type": "function", "name": "manage_activation_version", "arguments": "{\"action\":\"update\",\"activationId\":\"act_000001\",\"activationVersionId\":\"actv_000001\",\"trigger\":{\"mode\":\"triggered\",\"triggerExpression\":\"event.eventType == \\\"mobile:attribution\\\"\"},\"restartMode\":\"restart\",\"steps\":[{\"stepId\":\"START\",\"type\":\"START\",\"transitions\":{\"OK\":\"CHECK_PAID_ATTRIBUTION\"}},{\"stepId\":\"CHECK_PAID_ATTRIBUTION\",\"type\":\"CONDITION\",\"conditionExpression\":\"trigger.event.properties.conversionType == \\\"install\\\" OR trigger.event.properties.conversionType == \\\"re_attribution\\\"\",\"transitions\":{\"TRUE\":\"ASSIGN_PRESTIGE_TREATMENT\",\"FALSE\":\"TERMINAL\"}},{\"stepId\":\"ASSIGN_PRESTIGE_TREATMENT\",\"type\":\"EXPERIMENT\",\"experimentId\":\"ab_exp_000001\",\"experimentVersionId\":\"ab_ver_000001\",\"transitions\":{\"OK\":\"TERMINAL\",\"ERROR\":\"TERMINAL\"}},{\"stepId\":\"TERMINAL\",\"type\":\"TERMINAL\",\"transitions\":{}}],\"createdBy\":\"mina.rao\"}" } ], "provider_state": [ { "type": "reasoning.encrypted", "data": 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"format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e7570a0c87d1afd3b107f729fb18", "index": 0 } ] }, "sampled": true, "timestamp": 1788405602.512335, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 123, "message": { "role": "tool", "tool_call_id": "call_LTcf1K5tM2y4WioG3HS6q9Bl", "content": "{\"errors\":[{\"errorCode\":\"UNKNOWN_CONDITION_PATH\",\"message\":\"Referenced property does not exist in schema.\",\"path\":\"steps.CHECK_PAID_ATTRIBUTION.conditionExpression.items.0.value.property\"},{\"errorCode\":\"UNKNOWN_CONDITION_PATH\",\"message\":\"Referenced property does not exist in schema.\",\"path\":\"steps.CHECK_PAID_ATTRIBUTION.conditionExpression.items.1.value.property\"}],\"ok\":false,\"status\":\"rejected\"}", "name": "manage_activation_version" }, "sampled": false, "timestamp": 1788405620.021597, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 124, "message": { "role": "assistant", "reasoning_content": "**Evaluating condition parser paths**\n\nIt seems like the condition parser interprets paths differently when properties aren't known. I’m considering if the `conversionType` should be referenced using `trigger.event.conversionType` instead of properties. The schema documentation mentions `event.treatment` inconsistently, which is confusing. I wonder if the parser expects `trigger.event.conversionType` due to a flatter root. I'll also check if `trigger.event.properties` is supported, but there might be issues with recognizing properties under an object path. I’ll try using `trigger.event.conversionType` directly and look into campaignId as well.", "tool_calls": [ { "id": "call_kGgqVj8L9UXHkF4QF7M2Tnrz", "type": "function", "name": "manage_activation_version", "arguments": "{\"action\":\"update\",\"activationId\":\"act_000001\",\"activationVersionId\":\"actv_000001\",\"trigger\":{\"mode\":\"triggered\",\"triggerExpression\":\"event.eventType == \\\"mobile:attribution\\\"\"},\"restartMode\":\"restart\",\"steps\":[{\"stepId\":\"START\",\"type\":\"START\",\"transitions\":{\"OK\":\"CHECK_PAID_ATTRIBUTION\"}},{\"stepId\":\"CHECK_PAID_ATTRIBUTION\",\"type\":\"CONDITION\",\"conditionExpression\":\"trigger.event.conversionType == \\\"install\\\" OR trigger.event.conversionType == \\\"re_attribution\\\"\",\"transitions\":{\"TRUE\":\"ASSIGN_PRESTIGE_TREATMENT\",\"FALSE\":\"TERMINAL\"}},{\"stepId\":\"ASSIGN_PRESTIGE_TREATMENT\",\"type\":\"EXPERIMENT\",\"experimentId\":\"ab_exp_000001\",\"experimentVersionId\":\"ab_ver_000001\",\"transitions\":{\"OK\":\"TERMINAL\",\"ERROR\":\"TERMINAL\"}},{\"stepId\":\"TERMINAL\",\"type\":\"TERMINAL\",\"transitions\":{}}],\"createdBy\":\"mina.rao\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Evaluating condition parser paths**\n\nIt seems like the condition parser interprets paths differently when properties aren't known. I’m considering if the `conversionType` should be referenced using `trigger.event.conversionType` instead of properties. The schema documentation mentions `event.treatment` inconsistently, which is confusing. I wonder if the parser expects `trigger.event.conversionType` due to a flatter root. I'll also check if `trigger.event.properties` is supported, but there might be issues with recognizing properties under an object path. I’ll try using `trigger.event.conversionType` directly and look into campaignId as well.", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOdw9XyMxbzSSDYfPTzHwKpgOCuwsF6B1tKk-UwNh8vNugqXs-gh6YWwxVR0By8wsZXXmqJ96ygmStEb6uMbo5GZFSoe_9Zr26pb196ig9RphzO1_X5hp3WdVHWZX6tStR3kpca1JiyabsMwArzMr1g6kSh-lJ44bTWhQ0NLnV88p0ZeWMyTgoPDmCBG9p1yyYD2BXwDqxKGerU-M4WaiCuqBtGKdLB_-n3CXsdL9Ixyekgr8V4KH1iSaZUFjmt4okvW1qEk3KqqQRYyffWUiuBlkPIg3dSpiA6UCMrf05SdJJtkxOWrq2ctCu9gu7esXN8ACdFNuugPR4U16A5-EDZT03Hx20YyxgvjP1yVG5L8y1-rLVXeHDxuB88sb8a1OZuC53hsXxlJOmb1Cse6PuVobu2qUNNt3G4SUnzjtAc-2NQAsyksUx4n5BZnQ_B69VsVkBUpHPxJ-zPa8ftpNUyYKpaFQakuKr63PZ1DGNWC5F-hhZiTqOBBAdMw1zJLIVR3YSHjal5Vk64L3uXq5hsgsKT2g9ryg8i9wRPi2XWzDs41NWcSvS8WdmiXBdHjBIeQTTUxtVcZSRfGfOLJx0tAkD_IiST0KwYs2xUAms6A2nld30WYTIDowaSdWi0GIDPQQPJfWYtJjk9_5E0EK6dBgAWasRidmn8pwqzWEHGySfAZxMtAs45MPey3xYM4P2fNbg8cahAnQfVIYllNNyUuxoGwYHcDGqHLx8xTnz8_-kgmMt6h9EIS2mcKXIin2BCekyWqlvfzj4ZsQVE1cWb0Uv8i0seRAk4-eWGvL-q0D11bgvXWtQGsnayJyjDrfacfkIJsTfeYtpG0lYqsBbXMUiq5c2Jik4tyTAP_TdrQVu3C8P_LWp414-n-qE45m3gZ6DRkI4lWDbTiqVD7CPUhEmKBqj8Gw2kuVxPyITKAubhNpdoIgrbvHMOCeMXDMNaB6ZPLwBRxjvOvYQmjLijND7wTTKXKVag3T6DWyXwxJJQiTw3mpAjQqJvllIWgBUXWZXvqPL6z82V8lCCoFAcMqLT3fgOnIHRXH9Yu9-zFvvKcOGmtO34c5l6fXvFCeMrQJP0-EMWnSJc_lSswnGZe1G2hV1WKeI__sV69VBUS4mFjcTAKs-pAXV_riLrsSTTgRw23ZRGuB-47EsJ589NTMuXmib9VVGzJCTALsqH4-pZcykTRPpg7Iajgc3yOcvBrNBMa9JXAeiKp9iOqx-CrFtPxLHaiUTr6SxNrMgFtCVj93Gx3vsJ7u_hps_Pol1InsYRD9mpoEjNIsOsUsHTwLRwcXY0WH34sEuQALA4gOE3G3tjiyXDzI_lDKXuIY9b3b2iOBOC76I3UCFSMMrpA3eli6dCbJnFJiidNRhhpPthYjgR6BTrzky_9SgNFxb2PTjW_u0kbtVyiqHv0_gZzB7z4AUyEjwyK_taU3bGDGWAu7m_iJsVwtfdYd6FxkD835GI6CCbZHLluZ8kPfKEJt_ZQAlAG-GTgdSpNRM2IvsauEIpJuHu3EhEkyHlpfMmFHxEUfNuVzWoBTnq1p5WRDP89jQZZcQBsjf8LPsKsYMxZMXjSntxdANDt_vRHvGg5CfBvKZmbzjvy-aK7emdKDIkHL_oB-WWJ2VkQgZQx582vgDIjqh6JADriFDyAINQScCHk4M5b5Q7UBCJFAi2Z34xEAlBVTcj6S21LD5H9ycQVxTTk5-Sg4TQr6uTg1OKmqiB96g-vdTW_-zVtQRqRdLVckDacIZTZrRX5_OsvdZA9qkgAQMefbYMotMgApbcQ4D0n3vtH5flje5PrpLEWL2aFVCq-bjO45WbFR_-7fNYy7cki0RGrrH30yA8lNpYN8RVTWk_Fttiu9OX2c1hPTcKHMb6mRjgB0gKRRqRXnfIoct2BBulCseYkUHXXXSTC8fvoD5iGVKTvruicdTH6G-iEwGh7h3EJIW1Jy7KjIrtaZoLo5wfOzvtTph51lyeLhsqtQmkV1OjQ2UDwt8ThU2bub2p5BsJQmmTEjI9ANs5-6p8Z7eK0TUugQT6GDCiOzJtpOjH6GfG56CxGb9I0qf2JlBPXVR9L-DyIR36yU-WehCk-4yjmDdeFYPR7gn2c9V9lFNT5WJ0eUYOkN_hzYxKPH6E3emhUsqXlqBqxyhLlkNyiyyUH2EhmuXNza3Kuc_If4ROvCc5g3nc8f7eU1aLXSX_XBYV06n0q19iZl6vfqqmOVKgdFxPa8MXCWb0Cx0KRVi4KAP0OHSfongrPRrEmNuiuwKOo0mWYFsxOsfDkny614mSHSGbgSx41e3qGH1L2QzGZgLqLGxlhUXcxPA==.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e76aa9d087d18112f822051e430f", "index": 1 } ] }, "sampled": true, "timestamp": 1788405620.022075, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 125, "message": { "role": "tool", "tool_call_id": "call_kGgqVj8L9UXHkF4QF7M2Tnrz", "content": "{\"errors\":[{\"errorCode\":\"UNKNOWN_CONDITION_PATH\",\"message\":\"Referenced property does not exist in schema.\",\"path\":\"steps.CHECK_PAID_ATTRIBUTION.conditionExpression.items.0.value.property\"},{\"errorCode\":\"UNKNOWN_CONDITION_PATH\",\"message\":\"Referenced property does not exist in schema.\",\"path\":\"steps.CHECK_PAID_ATTRIBUTION.conditionExpression.items.1.value.property\"}],\"ok\":false,\"status\":\"rejected\"}", "name": "manage_activation_version" }, "sampled": false, "timestamp": 1788405634.619987, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 126, "message": { "role": "assistant", "reasoning_content": "**Considering trigger properties**\n\nI'm thinking maybe the condition only supports `customer.*` or specific event properties. The graph indicates paths for `trigger.*`, but it seems like `trigger.conversionType` might not be categorized as an event. I wonder if the `trigger` context applies directly to events. So, I should definitely try using `trigger.conversionType` and see if that works. It's a puzzle, but I’m eager to figure it out!", "tool_calls": [ { "id": "call_JQm34b45HRK77bqiD8aE7Xuu", "type": "function", "name": "manage_activation_version", "arguments": "{\"action\":\"update\",\"activationId\":\"act_000001\",\"activationVersionId\":\"actv_000001\",\"trigger\":{\"mode\":\"triggered\",\"triggerExpression\":\"event.eventType == \\\"mobile:attribution\\\"\"},\"restartMode\":\"restart\",\"steps\":[{\"stepId\":\"START\",\"type\":\"START\",\"transitions\":{\"OK\":\"CHECK_PAID_ATTRIBUTION\"}},{\"stepId\":\"CHECK_PAID_ATTRIBUTION\",\"type\":\"CONDITION\",\"conditionExpression\":\"trigger.conversionType == \\\"install\\\" OR trigger.conversionType == \\\"re_attribution\\\"\",\"transitions\":{\"TRUE\":\"ASSIGN_PRESTIGE_TREATMENT\",\"FALSE\":\"TERMINAL\"}},{\"stepId\":\"ASSIGN_PRESTIGE_TREATMENT\",\"type\":\"EXPERIMENT\",\"experimentId\":\"ab_exp_000001\",\"experimentVersionId\":\"ab_ver_000001\",\"transitions\":{\"OK\":\"TERMINAL\",\"ERROR\":\"TERMINAL\"}},{\"stepId\":\"TERMINAL\",\"type\":\"TERMINAL\",\"transitions\":{}}],\"createdBy\":\"mina.rao\"}" } ], "provider_state": [ { "type": "reasoning.summary", "summary": "**Considering trigger properties**\n\nI'm thinking maybe the condition only supports `customer.*` or specific event properties. The graph indicates paths for `trigger.*`, but it seems like `trigger.conversionType` might not be categorized as an event. I wonder if the `trigger` context applies directly to events. So, I should definitely try using `trigger.conversionType` and see if that works. It's a puzzle, but I’m eager to figure it out!", "format": "openai-responses-v1", "index": 0 }, { "type": "reasoning.encrypted", "data": "gAAAAABqmOd-dyBiGb3QuG4XAGnRfTtSrXMFHZbTELKG8uR5TvCfshZBfotQS18IYTJBQyuIjR0W7t23BItiluC3_c8E-uxCkD3dKXTYx7hhTnhqayuXNE29C74H1qw4cIsSZuIReOlO6ZVhScIlakh01XsJpWlsdSTcVd_5F_oH_vpdBBmhUkSa-ry3j_zann3nHT3aoSteWGriPQeZrxohiiB-bjgIcwIqF7C93hOfVrfLpgWrid3Py92GTO4E7j_E4NEskNtzWitieOFtnQCJa5uoL3PQ3rRmqvWic2GWjLkSj-nfviakbpNroZIvMeXSEPEi9rnHT0pw-tIwENCjEbbUoFocPwvAJV5VDAwFcj4-iLWXlFHALLbPSLEPNMl7mWZtTE2gM_afaDWV8cnnUS6ez6A9is0kQEnfa2B0Xzw5Rfo_Yi06_UrDl6OcbX_sNts2d93ytomn-qGrqQ6dx3U_ONds6vGatudpxCEI0G2y6FOkdqZ5KfLfVUH9iOcXW1SmtJ02gEYhPZaGdcHbYkenwz-9Rg0H_Yi7yzort6f9wR7fYCATDJdjcfHqLSbz6OdX9iQUrdxPSjTtn_8t8KES68KZtzN14DybWquKB-pOZdUE5NzNHc5cWrqPLBg-qBvQA8TMiawu0F-l5rb62GjxBEmi5s8xSkYjdWwAfu8rLfJRa_2L39tIeI9NQc-68FRbSwDnhc8S1xA0b0reS_up3_pLOdcG-fIBBmdPOYnhEymQUroSmNB-q_qDZXwhW4LPFCfkGfyP80Eorcn5HumDOxR2oGkD0cxLSENaZEUob74MsYri_7NU9EayQ2JA6YItWn3YokqUyiz750M2c05vfrsz8fOx-6ozvzSZyYynNHEwuR4iWwvl6IZtTW-QXiyG4YZf_-ENEN7BkH6C5iaGfGALn-5LnoQs22euslQGclp81MKC0XIe5UdQ7u2DW0KPXCQZfRNNZ1wahqQvCBcGFAtr_SAKDnWz0pAnrRd6acfqvfQOd00Y0nhh-oN7v1LvwvD6yNpn4MmTX1M6FjJFAFJYl4SF8WJaeurLzacNxdekWOyGx7wevtzPjHap3_Wiy2gUymaLxJMd7_9mqKesIIrimO4zUDz_f-Ic9dHICLS8w00n9-u-5XtJL009bgGBoNXU_-kSTEioXpuyUuUPUq2v6vGx2chM7OWtmaESv1zbEnGHjolrB2SbJgKyWaL02mSoFGrhc1KyUX0Ol_tXYsLGpEDOJlHe8zIDa3kcnxY_BBodd3vXWIt574LoE1dUtxt-vwqKGwqNwmNqQJzxeswhiC-OQGbKuHNP1OSOOHGQNwsvn6cbUFVIIQcEef-cUbAWZAcJEyqjHwzWIaUKV-dryLSQWpqkzjfDeqYJX_UcmjFNtrcVxDqtcuv2VjTDlrrbksvsUSryjVk4Dioh2yAWVPewgE1UM9pIfvEcOAoiyBcbapDTdXdauXLDY2hb4-ezI7QiZCs2v-7K8LH62b5CQEKlyr2Ea41-jNlp7p-WZn0m_ehUBO8G2M79FjEjLnoOggiBO_o77LwgO9TrIS2pgVN2asFAupHyY6uixwSNPYbw-gzvjmY-fQjjlYn0Pz_E_BcUbam3zKVd_lnXaTywuMnXy1I29_PG2KCfvSx4t4o=.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC01LjYtbHVuYS0yMDI2MDcwOXxvcGVuYWkifQ", "format": "openai-responses-v1", "id": "rs_014ce99d0669f19c016a98e77bfbac87d1863099981b214c6b", "index": 1 } ] }, "sampled": true, "timestamp": 1788405634.620725, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 127, "message": { "role": "tool", "tool_call_id": "call_JQm34b45HRK77bqiD8aE7Xuu", "content": "{\"status\":\"accepted\",\"version\":{\"activationId\":\"act_000001\",\"activationVersionId\":\"actv_000001\",\"status\":\"draft\",\"versionNumber\":1}}", "name": "manage_activation_version" }, "sampled": false, "timestamp": 1788405647.8131468, "token_ids": [], "mask": [], "is_content": [], "logprobs": [] }, { "parent": 128, "message": { "role": "assistant", "reasoning_content": "**Testing API connections**\n\nAlright, I need to activate the activation version, but maybe I should test the API connections first to validate them. 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