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creation of the new headless insight user actions controller (#4192)\n\n# [SFINT-5613](https://coveord.atlassian.net/browse/SFINT-5613)\n\n## Overview about the user actions feature:\n\nThe user actions feature allows the agent using the Insight Panel to\ncheck all the actions that have beed made by a user who created a case,\nthese knowledge about the actions performed by the user should help the\nagent to understand the context of the case and issue the user is facing\nand help him solve the case more quickly.\n\nFrom a UI perspective, that's what this feature look like:\n<img width=\"250\" alt=\"Screenshot 2024-07-16 at 9 21 10 AM\"\nsrc=\"https://github.com/user-attachments/assets/5f326d08-9750-4f27-99a3-331193ade5a0\">\n\n## From where we get the user actions data:\n\nWe get the user action data from the the following machine learning API:\n[/rest/organizations/{organizationId}/machinelearning/user/actions](\nhttps://platformdev.cloud.coveo.com/docs?urls.primaryName=Machine%20Learning#/User%20Profiles/rest_organizations_paramId_machinelearning_user_actions_post)\n\n## Example request:\n```\ncurl -X 'POST' \\\n  'https://platform.cloud.coveo.com/rest/organizations/MyOrgId/machinelearning/user/actions' \\\n  -H 'accept: */*' \\\n  -H 'Authorization: Bearer XXXXXXX' \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n  \"objectId\": \"MyUserId\"\n}'\n```\n\n## Example response:\n```\n{\n   \"executionTime\":0.011054937,\n   \"modelSubType\":\"userActionHistory\",\n   \"modelType\":\"Profile\",\n   \"responseTime\":1721136841424,\n   \"value\":[\n      {\n         \"name\":\"SEARCH\",\n         \"value\":\"{\\\"cause\\\":\\\"userActionLoad\\\",\\\"origin_level_1\\\":\\\"coveoLightningInsightPanel\\\",\\\"origin_level_2\\\":\\\"default\\\"}\",\n         \"time\":\"1721012966908\"\n      },\n      {\n         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user actions feature allows the agent using the Insight Panel to\ncheck all the actions that have beed made by a user who created a case,\nthese knowledge about the actions performed by the user should help the\nagent to understand the context of the case and issue the user is facing\nand help him solve the case more quickly.\n\nFrom a UI perspective, that's what this feature look like:\n<img width=\"250\" alt=\"Screenshot 2024-07-16 at 9 21 10 AM\"\nsrc=\"https://github.com/user-attachments/assets/5f326d08-9750-4f27-99a3-331193ade5a0\">\n\n## From where we get the user actions data:\n\nWe get the user action data from the the following machine learning API:\n[/rest/organizations/{organizationId}/machinelearning/user/actions](\nhttps://platformdev.cloud.coveo.com/docs?urls.primaryName=Machine%20Learning#/User%20Profiles/rest_organizations_paramId_machinelearning_user_actions_post)\n\n## Example request:\n```\ncurl -X 'POST' \\\n  'https://platform.cloud.coveo.com/rest/organizations/MyOrgId/machinelearning/user/actions' \\\n  -H 'accept: */*' \\\n  -H 'Authorization: Bearer XXXXXXX' \\\n  -H 'Content-Type: application/json' \\\n  -d '{\n  \"objectId\": \"MyUserId\"\n}'\n```\n\n## Example response:\n```\n{\n   \"executionTime\":0.011054937,\n   \"modelSubType\":\"userActionHistory\",\n   \"modelType\":\"Profile\",\n   \"responseTime\":1721136841424,\n   \"value\":[\n      {\n         \"name\":\"SEARCH\",\n         \"value\":\"{\\\"cause\\\":\\\"userActionLoad\\\",\\\"origin_level_1\\\":\\\"coveoLightningInsightPanel\\\",\\\"origin_level_2\\\":\\\"default\\\"}\",\n         \"time\":\"1721012966908\"\n      },\n      {\n         \"name\":\"CUSTOM\",\n         \"value\":\"{\\\"event_type\\\":\\\"User Actions\\\",\\\"event_value\\\":\\\"openUserActions\\\",\\\"origin_level_1\\\":\\\"coveoLightningInsightPanel\\\",\\\"origin_level_2\\\":\\\"default\\\"}\",\n         \"time\":\"1721012966186\"\n      },\n     ....\n   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