Esquema de exemplo para métricas de uso de Copilot

Veja um esquema de exemplo dos dados retornados pela Copilot API de métricas de uso.

Quem pode usar esse recurso?

Proprietários corporativos, gerentes de cobrança corporativos, proprietários de organizações e pessoas com uma função corporativa ou de organização personalizada com a permissão "Exibir Métricas da Organização Copilot " ou "Exibir Métricas da Empresa Copilot ".

Neste artigo

Os exemplos a seguir mostram esquemas para dados em nível de usuário, empresa e repositório retornados pelos endpoints de métricas de uso Copilot. Os campos retornados variam de acordo com o nível de métrica e agregação. Use esses exemplos para entender a estrutura de resposta e interpretar seus campos e métricas.

Exemplo de esquema no nível do usuário

JSON
[{
  "ai_adoption_phase": {
    "phase": "Phase 2",
    "phase_number": 2,
    "version": "v1"
  },
  "ai_credits_used": 12.5,
  "code_acceptance_activity_count": 3,
  "code_generation_activity_count": 3,
  "day": "2026-10-19",
  "distinct_custom_agent_use_count": 2,
  "distinct_mcp_use_count": 2,
  "distinct_plugin_use_count": 1,
  "distinct_skill_use_count": 3,
  "distinct_slash_cmd_use_count": 2,
  "enterprise_id": "1",
  "loc_added_sum": 32,
  "loc_deleted_sum": 6,
  "loc_suggested_to_add_sum": 34,
  "loc_suggested_to_delete_sum": 6,
  "totals_by_cli": {
    "last_known_cli_version": {
      "cli_version": "1.0.97",
      "sampled_at": "2026-10-19T00:01:43.000Z"
    },
    "prompt_count": 2,
    "request_count": 2,
    "session_count": 2,
    "token_usage": {
      "avg_tokens_per_request": 4400.0,
      "output_tokens_sum": 5000,
      "prompt_tokens_sum": 3800
    }
  },
  "totals_by_client": [{
    "client": "opencode",
    "request_count": 3,
    "session_count": 2,
    "token_usage": {
      "avg_tokens_per_request": 1100.0,
      "output_tokens_sum": 900,
      "prompt_tokens_sum": 2400
    },
    "totals_by_model": [{
      "model": "claude-opus-5.5",
      "model_selection_mode": "user_selected",
      "request_count": 2,
      "token_usage": {
        "avg_tokens_per_request": 1200.0,
        "output_tokens_sum": 600,
        "prompt_tokens_sum": 1800
      }
    }, {
      "model": "claude-sonnet-5",
      "model_selection_mode": "auto",
      "request_count": 1,
      "token_usage": {
        "avg_tokens_per_request": 900.0,
        "output_tokens_sum": 300,
        "prompt_tokens_sum": 600
      }
    }]
  }, {
    "client": "copilot_cli",
    "request_count": 1,
    "session_count": 1,
    "token_usage": {
      "avg_tokens_per_request": 600.0,
      "output_tokens_sum": 100,
      "prompt_tokens_sum": 500
    },
    "totals_by_model": [{
      "model": "gpt-5.6-sol",
      "model_selection_mode": "user_selected",
      "request_count": 1,
      "token_usage": {
        "avg_tokens_per_request": 600.0,
        "output_tokens_sum": 100,
        "prompt_tokens_sum": 500
      }
    }]
  }],
  "totals_by_copilot_app": {
    "prompt_count": 1,
    "request_count": 3,
    "session_count": 1,
    "token_usage": {
      "avg_tokens_per_request": 3200.0,
      "output_tokens_sum": 4200,
      "prompt_tokens_sum": 5400
    }
  },
  "totals_by_custom_agent": [{
    "custom_agent": "general-purpose",
    "interaction_count": 4
  }, {
    "custom_agent": "release-reviewer",
    "interaction_count": 2
  }],
  "totals_by_3rd_party_agent": [{
    "agent_id": "2246796",
    "agent_name": "Claude (Anthropic)",
    "user_initiated_interaction_count": 2
  }, {
    "agent_id": "2248422",
    "agent_name": "Codex (OpenAI)",
    "user_initiated_interaction_count": 2
  }],
  "totals_by_feature": [{
    "code_acceptance_activity_count": 1,
    "code_generation_activity_count": 1,
    "feature": "code_completion",
    "loc_added_sum": 8,
    "loc_deleted_sum": 0,
    "loc_suggested_to_add_sum": 10,
    "loc_suggested_to_delete_sum": 0,
    "user_initiated_interaction_count": 0
  }, {
    "code_acceptance_activity_count": 2,
    "code_generation_activity_count": 2,
    "feature": "copilot_app",
    "loc_added_sum": 24,
    "loc_deleted_sum": 6,
    "loc_suggested_to_add_sum": 24,
    "loc_suggested_to_delete_sum": 6,
    "user_initiated_interaction_count": 1
  }],
  "totals_by_ide": [{
    "code_acceptance_activity_count": 1,
    "code_generation_activity_count": 1,
    "ide": "vscode",
    "last_known_ide_version": {
      "ide_version": "1.85.0",
      "sampled_at": "2026-10-19T00:00:02.000Z"
    },
    "last_known_plugin_version": {
      "plugin": "",
      "plugin_version": "",
      "sampled_at": "2026-10-19T00:00:02.000Z"
    },
    "loc_added_sum": 8,
    "loc_deleted_sum": 0,
    "loc_suggested_to_add_sum": 10,
    "loc_suggested_to_delete_sum": 0,
    "user_initiated_interaction_count": 0
  }],
  "totals_by_language_feature": [{
    "code_acceptance_activity_count": 1,
    "code_generation_activity_count": 1,
    "feature": "code_completion",
    "language": "unknown",
    "loc_added_sum": 8,
    "loc_deleted_sum": 0,
    "loc_suggested_to_add_sum": 10,
    "loc_suggested_to_delete_sum": 0
  }, {
    "code_acceptance_activity_count": 2,
    "code_generation_activity_count": 2,
    "feature": "copilot_app",
    "language": "markdown",
    "loc_added_sum": 24,
    "loc_deleted_sum": 6,
    "loc_suggested_to_add_sum": 24,
    "loc_suggested_to_delete_sum": 6
  }],
  "totals_by_language_model": [],
  "totals_by_mcp": [{
    "interaction_count": 8,
    "mcp": "github-mcp-server"
  }, {
    "interaction_count": 3,
    "mcp": "docs-search"
  }],
  "totals_by_model_feature": [],
  "totals_by_vscode_agent": {
    "session_count": 1,
    "total_user_messages": 1
  },
  "totals_by_plugin": [{
    "interaction_count": 2,
    "plugin": "engineering-tools"
  }],
  "totals_by_skill": [{
    "interaction_count": 2,
    "skill": "code-review"
  }, {
    "interaction_count": 2,
    "skill": "release-checks"
  }, {
    "interaction_count": 1,
    "skill": "other"
  }],
  "totals_by_slash_cmd": [{
    "interaction_count": 3,
    "slash_cmd": "/plan"
  }, {
    "interaction_count": 1,
    "slash_cmd": "/release-check"
  }],
  "used_agent": false,
  "used_chat": false,
  "used_cli": true,
  "used_copilot_app": true,
  "used_copilot_cloud_agent": false,
  "used_copilot_code_review_active": null,
  "used_copilot_code_review_passive": null,
  "used_copilot_coding_agent": false,
  "used_vscode_agent": true,
  "user_id": 1,
  "user_login": "login1",
  "user_initiated_interaction_count": 1
}]

Os relatórios por usuário da organização usam os mesmos campos de entrada de totals_by_3rd_party_agent e também incluem organization_id. As entradas por usuário totals_by_3rd_party_agent omitem session_count.

Tanto nos relatórios corporativos por usuário quanto nos relatórios da organização por usuário, used_vscode_agent e totals_by_vscode_agent fornecem métricas dedicadas para a janela Agentes do VS Code. Esses campos aparecem no nível superior em relatórios de 1 dia e 28 dias. Eles são omitidos quando não há dados dedicados disponíveis da janela Agentes VS Code, e totals_by_vscode_agent é omitido, a menos que ambas as suas contagens estejam disponíveis.

Os campos de personalização mostrados neste exemplo aparecem em relatórios de 1 dia e 28 dias por usuário para empresas e organizações. Nomes configurados, como release-reviewer e docs-search, identificam personalizações criadas pela sua organização.

As personalizações com nomes indisponíveis ou nomes que se parecem com caminhos de arquivo permanecem agrupadas em other ou custom. Em relatórios de 1 dia por usuário, cada um dos cinco arrays de personalização mantém até 25 entradas nomeadas por usuário. Entradas adicionais são combinadas em uma entrada final other. A ausência de uma entrada de uma matriz limitada não significa que ela tenha tido uso zero.

Para obter cobertura e regras de nomenclatura, consulte Dados disponíveis nas métricas de uso do Copilot.

O totals_by_client array aparece no nível superior de cada registro de usuário em relatórios por usuário de 1 dia e 28 dias, para escopos corporativos e de organização. Ele conta solicitações de modelo bem-sucedidas no lado do servidor, para que ele possa incluir clientes, como o OpenCode, que não aparecem em totals_by_ide.

Neste exemplo, used_copilot_code_review_active e used_copilot_code_review_passive são null porque não havia sinal Copilot code review para o usuário naquele dia. used_copilot_cloud_agent e used_copilot_coding_agent sempre carregue o mesmo valor.

Exemplo de esquema de nível empresarial

JSON
[ {
  "day_totals" : [ {
    "code_acceptance_activity_count" : 4,
    "code_generation_activity_count" : 4,
    "daily_active_cli_users" : 2,
    "daily_active_copilot_app_users" : 1,
    "daily_active_copilot_cloud_agent_users" : 1,
    "daily_active_copilot_code_review_users" : 1,
    "daily_active_users" : 2,
    "daily_active_vscode_agent_users" : 2,
    "daily_passive_copilot_code_review_users" : 0,
    "day" : "2025-10-01",
    "distinct_custom_agent_use_count" : 2,
    "distinct_mcp_use_count" : 2,
    "distinct_plugin_use_count" : 1,
    "distinct_skill_use_count" : 3,
    "distinct_slash_cmd_use_count" : 2,
    "enterprise_id" : "1",
    "loc_added_sum" : 54,
    "loc_deleted_sum" : 6,
    "loc_suggested_to_add_sum" : 59,
    "loc_suggested_to_delete_sum" : 6,
    "monthly_active_agent_users" : 0,
    "monthly_active_chat_users" : 0,
    "monthly_active_copilot_cloud_agent_users" : 1,
    "monthly_active_copilot_code_review_users" : 1,
    "monthly_active_users" : 2,
    "monthly_active_vscode_agent_users" : 2,
    "monthly_passive_copilot_code_review_users" : 0,
    "pull_requests" : {
      "median_minutes_to_merge" : 2.5,
      "median_minutes_to_merge_copilot_authored" : 2.5,
      "median_minutes_to_merge_copilot_reviewed" : 2.5,
      "total_applied_suggestions" : 1,
      "total_copilot_applied_suggestions" : 1,
      "total_copilot_suggestions" : 1,
      "total_created" : 2,
      "total_created_by_copilot" : 1,
      "total_merged" : 2,
      "total_merged_created_by_copilot" : 1,
      "total_merged_reviewed_by_copilot" : 1,
      "total_reviewed" : 1,
      "total_reviewed_by_copilot" : 1,
      "total_suggestions" : 1
    },
    "totals_by_3rd_party_agent" : [ {
      "agent_id" : "2246796",
      "agent_name" : "Claude (Anthropic)",
      "session_count" : 1,
      "user_initiated_interaction_count" : 2
    }, {
      "agent_id" : "2248422",
      "agent_name" : "Codex (OpenAI)",
      "session_count" : 2,
      "user_initiated_interaction_count" : 2
    } ],
    "totals_by_ai_adoption_phase" : [ {
      "avg_code_acceptance_activities" : 1.0,
      "avg_code_generation_activities" : 1.0,
      "avg_loc_added" : 22.0,
      "avg_loc_deleted" : 0.0,
      "avg_pull_requests_created" : 1.0,
      "avg_pull_requests_median_minutes_to_merge" : 2.5,
      "avg_pull_requests_merged" : 1.0,
      "avg_pull_requests_minutes_to_review" : 1.5,
      "avg_pull_requests_review_cycles" : 1.0,
      "avg_pull_requests_reviewed" : 0.0,
      "avg_user_initiated_interactions" : 0.0,
      "phase" : "Phase 1",
      "phase_number" : 1,
      "total_engaged_users" : 1,
      "users_in_phase_28d" : 1,
      "total_pull_requests_merged" : 1
    }, {
      "avg_code_acceptance_activities" : 3.0,
      "avg_code_generation_activities" : 3.0,
      "avg_loc_added" : 32.0,
      "avg_loc_deleted" : 6.0,
      "avg_pull_requests_created" : 1.0,
      "avg_pull_requests_median_minutes_to_merge" : 2.5,
      "avg_pull_requests_merged" : 1.0,
      "avg_pull_requests_minutes_to_review" : 2.0,
      "avg_pull_requests_review_cycles" : 2.0,
      "avg_pull_requests_reviewed" : 1.0,
      "avg_user_initiated_interactions" : 1.0,
      "phase" : "Phase 3",
      "phase_number" : 3,
      "total_engaged_users" : 1,
      "users_in_phase_28d" : 1,
      "total_pull_requests_merged" : 1
    } ],
    "totals_by_cli" : {
      "prompt_count" : 3,
      "request_count" : 3,
      "session_count" : 3,
      "token_usage" : {
        "avg_tokens_per_request" : 4100.0,
        "output_tokens_sum" : 7000,
        "prompt_tokens_sum" : 5300
      }
    },
    "totals_by_client" : [ {
      "client" : "opencode",
      "request_count" : 3,
      "session_count" : 2,
      "token_usage" : {
        "avg_tokens_per_request" : 1100.0,
        "output_tokens_sum" : 900,
        "prompt_tokens_sum" : 2400
      },
      "totals_by_model" : [ {
        "model" : "claude-opus-5.5",
        "model_selection_mode" : "user_selected",
        "request_count" : 2,
        "token_usage" : {
          "avg_tokens_per_request" : 1200.0,
          "output_tokens_sum" : 600,
          "prompt_tokens_sum" : 1800
        }
      }, {
        "model" : "claude-sonnet-5",
        "model_selection_mode" : "auto",
        "request_count" : 1,
        "token_usage" : {
          "avg_tokens_per_request" : 900.0,
          "output_tokens_sum" : 300,
          "prompt_tokens_sum" : 600
        }
      } ]
    }, {
      "client" : "copilot_cli",
      "request_count" : 1,
      "session_count" : 1,
      "token_usage" : {
        "avg_tokens_per_request" : 600.0,
        "output_tokens_sum" : 100,
        "prompt_tokens_sum" : 500
      },
      "totals_by_model" : [ {
        "model" : "gpt-5.6-sol",
        "model_selection_mode" : "user_selected",
        "request_count" : 1,
        "token_usage" : {
          "avg_tokens_per_request" : 600.0,
          "output_tokens_sum" : 100,
          "prompt_tokens_sum" : 500
        }
      } ]
    } ],
    "totals_by_copilot_app" : {
      "prompt_count" : 2,
      "request_count" : 6,
      "session_count" : 2,
      "token_usage" : {
        "avg_tokens_per_request" : 2466.67,
        "output_tokens_sum" : 6200,
        "prompt_tokens_sum" : 8600
      }
    },
    "totals_by_custom_agent" : [ {
      "custom_agent" : "general-purpose",
      "interaction_count" : 7
    }, {
      "custom_agent" : "other",
      "interaction_count" : 3
    } ],
    "totals_by_feature" : [ {
      "code_acceptance_activity_count" : 2,
      "code_generation_activity_count" : 2,
      "feature" : "code_completion",
      "loc_added_sum" : 30,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 35,
      "loc_suggested_to_delete_sum" : 0,
      "user_initiated_interaction_count" : 0
    }, {
      "code_acceptance_activity_count" : 2,
      "code_generation_activity_count" : 2,
      "feature" : "copilot_app",
      "loc_added_sum" : 24,
      "loc_deleted_sum" : 6,
      "loc_suggested_to_add_sum" : 24,
      "loc_suggested_to_delete_sum" : 6,
      "user_initiated_interaction_count" : 1
    } ],
    "totals_by_ide" : [ {
      "code_acceptance_activity_count" : 2,
      "code_generation_activity_count" : 2,
      "ide" : "vscode",
      "loc_added_sum" : 30,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 35,
      "loc_suggested_to_delete_sum" : 0,
      "user_initiated_interaction_count" : 0
    } ],
    "totals_by_language_feature" : [ {
      "code_acceptance_activity_count" : 2,
      "code_generation_activity_count" : 2,
      "feature" : "code_completion",
      "language" : "unknown",
      "loc_added_sum" : 30,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 35,
      "loc_suggested_to_delete_sum" : 0
    }, {
      "code_acceptance_activity_count" : 2,
      "code_generation_activity_count" : 2,
      "feature" : "copilot_app",
      "language" : "markdown",
      "loc_added_sum" : 24,
      "loc_deleted_sum" : 6,
      "loc_suggested_to_add_sum" : 24,
      "loc_suggested_to_delete_sum" : 6
    } ],
    "totals_by_language_model" : [ ],
    "totals_by_mcp" : [ {
      "interaction_count" : 12,
      "mcp" : "github-mcp-server"
    }, {
      "interaction_count" : 5,
      "mcp" : "other"
    } ],
    "totals_by_model_feature" : [ ],
    "totals_by_vscode_agent" : {
      "session_count" : 2,
      "total_user_messages" : 2
    },
    "totals_by_plugin" : [ {
      "interaction_count" : 4,
      "plugin" : "other"
    } ],
    "totals_by_skill" : [ {
      "interaction_count" : 9,
      "skill" : "other"
    } ],
    "totals_by_slash_cmd" : [ {
      "interaction_count" : 6,
      "slash_cmd" : "/plan"
    }, {
      "interaction_count" : 2,
      "slash_cmd" : "custom"
    } ],
    "user_initiated_interaction_count" : 1,
    "weekly_active_copilot_cloud_agent_users" : 1,
    "weekly_active_copilot_code_review_users" : 1,
    "weekly_active_users" : 2,
    "weekly_active_vscode_agent_users" : 2,
    "weekly_passive_copilot_code_review_users" : 0
  } ],
  "enterprise_id" : "1",
  "copilot_feature_engagement" : {
    "active_user_count" : 2,
    "totals_by_feature" : [ {
      "feature" : "code_completion",
      "engaged_user_count" : 2
    }, {
      "feature" : "agent_edit",
      "engaged_user_count" : 1
    }, {
      "feature" : "code_review_passive",
      "engaged_user_count" : 1
    }, {
      "feature" : "code_review_active",
      "engaged_user_count" : 1
    }, {
      "feature" : "cloud_agent",
      "engaged_user_count" : 1
    }, {
      "feature" : "copilot_cli",
      "engaged_user_count" : 1
    }, {
      "feature" : "github_app",
      "engaged_user_count" : 1
    } ]
  },
  "report_end_day" : "2025-10-01",
  "report_start_day" : "2025-09-04"
}, {
  "day_totals" : [ {
    "code_acceptance_activity_count" : 2,
    "code_generation_activity_count" : 3,
    "daily_active_copilot_cloud_agent_users" : 0,
    "daily_active_copilot_code_review_users" : 0,
    "daily_active_users" : 2,
    "daily_passive_copilot_code_review_users" : 0,
    "day" : "2025-10-01",
    "distinct_custom_agent_use_count" : 0,
    "distinct_mcp_use_count" : 0,
    "distinct_plugin_use_count" : 0,
    "distinct_skill_use_count" : 0,
    "distinct_slash_cmd_use_count" : 0,
    "enterprise_id" : "2",
    "loc_added_sum" : 50,
    "loc_deleted_sum" : 3,
    "loc_suggested_to_add_sum" : 52,
    "loc_suggested_to_delete_sum" : 3,
    "monthly_active_agent_users" : 0,
    "monthly_active_chat_users" : 0,
    "monthly_active_copilot_cloud_agent_users" : 0,
    "monthly_active_copilot_code_review_users" : 0,
    "monthly_active_users" : 2,
    "monthly_passive_copilot_code_review_users" : 0,
    "pull_requests" : {
      "total_applied_suggestions" : 0,
      "total_copilot_applied_suggestions" : 0,
      "total_copilot_suggestions" : 0,
      "total_created" : 1,
      "total_created_by_copilot" : 0,
      "total_merged" : 0,
      "total_merged_created_by_copilot" : 0,
      "total_merged_reviewed_by_copilot" : 0,
      "total_reviewed" : 1,
      "total_reviewed_by_copilot" : 0,
      "total_suggestions" : 1
    },
    "totals_by_ai_adoption_phase" : [ {
      "avg_code_acceptance_activities" : 0.0,
      "avg_code_generation_activities" : 1.0,
      "avg_loc_added" : 12.0,
      "avg_loc_deleted" : 3.0,
      "avg_pull_requests_created" : 0.0,
      "avg_pull_requests_median_minutes_to_merge" : 0.0,
      "avg_pull_requests_merged" : 0.0,
      "avg_pull_requests_minutes_to_review" : 0.0,
      "avg_pull_requests_review_cycles" : 0.0,
      "avg_pull_requests_reviewed" : 0.0,
      "avg_user_initiated_interactions" : 0.0,
      "phase" : "Phase 3",
      "phase_number" : 3,
      "total_engaged_users" : 1,
      "users_in_phase_28d" : 1,
      "total_pull_requests_merged" : 0
    }, {
      "avg_code_acceptance_activities" : 2.0,
      "avg_code_generation_activities" : 2.0,
      "avg_loc_added" : 38.0,
      "avg_loc_deleted" : 0.0,
      "avg_pull_requests_created" : 1.0,
      "avg_pull_requests_median_minutes_to_merge" : 0.0,
      "avg_pull_requests_merged" : 0.0,
      "avg_pull_requests_minutes_to_review" : 0.0,
      "avg_pull_requests_review_cycles" : 0.0,
      "avg_pull_requests_reviewed" : 1.0,
      "avg_user_initiated_interactions" : 1.0,
      "phase" : "Phase 1",
      "phase_number" : 1,
      "total_engaged_users" : 1,
      "users_in_phase_28d" : 1,
      "total_pull_requests_merged" : 0
    } ],
    "totals_by_client" : [ {
      "client" : "github_app",
      "request_count" : 2,
      "session_count" : 1,
      "token_usage" : {
        "avg_tokens_per_request" : 1000.0,
        "output_tokens_sum" : 500,
        "prompt_tokens_sum" : 1500
      },
      "totals_by_model" : [ {
        "model" : "gpt-5.6-sol",
        "model_selection_mode" : "user_selected",
        "request_count" : 2,
        "token_usage" : {
          "avg_tokens_per_request" : 1000.0,
          "output_tokens_sum" : 500,
          "prompt_tokens_sum" : 1500
        }
      } ]
    }, {
      "client" : "code_review",
      "request_count" : 2,
      "session_count" : 1,
      "token_usage" : {
        "avg_tokens_per_request" : 800.0,
        "output_tokens_sum" : 400,
        "prompt_tokens_sum" : 1200
      },
      "totals_by_model" : [ {
        "model" : "unknown",
        "model_selection_mode" : "product_selected",
        "request_count" : 2,
        "token_usage" : {
          "avg_tokens_per_request" : 800.0,
          "output_tokens_sum" : 400,
          "prompt_tokens_sum" : 1200
        }
      } ]
    } ],
    "totals_by_custom_agent" : [ ],
    "totals_by_feature" : [ {
      "code_acceptance_activity_count" : 1,
      "code_generation_activity_count" : 2,
      "feature" : "code_completion",
      "loc_added_sum" : 38,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 40,
      "loc_suggested_to_delete_sum" : 0,
      "user_initiated_interaction_count" : 0
    }, {
      "code_acceptance_activity_count" : 1,
      "code_generation_activity_count" : 1,
      "feature" : "copilot_app",
      "loc_added_sum" : 12,
      "loc_deleted_sum" : 3,
      "loc_suggested_to_add_sum" : 12,
      "loc_suggested_to_delete_sum" : 3,
      "user_initiated_interaction_count" : 1
    } ],
    "totals_by_ide" : [ {
      "code_acceptance_activity_count" : 1,
      "code_generation_activity_count" : 2,
      "ide" : "vscode",
      "loc_added_sum" : 38,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 40,
      "loc_suggested_to_delete_sum" : 0,
      "user_initiated_interaction_count" : 0
    } ],
    "totals_by_language_feature" : [ {
      "code_acceptance_activity_count" : 1,
      "code_generation_activity_count" : 2,
      "feature" : "code_completion",
      "language" : "unknown",
      "loc_added_sum" : 38,
      "loc_deleted_sum" : 0,
      "loc_suggested_to_add_sum" : 40,
      "loc_suggested_to_delete_sum" : 0
    }, {
      "code_acceptance_activity_count" : 1,
      "code_generation_activity_count" : 1,
      "feature" : "copilot_app",
      "language" : "markdown",
      "loc_added_sum" : 12,
      "loc_deleted_sum" : 3,
      "loc_suggested_to_add_sum" : 12,
      "loc_suggested_to_delete_sum" : 3
    } ],
    "totals_by_language_model" : [ ],
    "totals_by_mcp" : [ ],
    "totals_by_model_feature" : [ ],
    "totals_by_plugin" : [ ],
    "totals_by_skill" : [ ],
    "totals_by_slash_cmd" : [ ],
    "user_initiated_interaction_count" : 1,
    "weekly_active_copilot_cloud_agent_users" : 0,
    "weekly_active_copilot_code_review_users" : 0,
    "weekly_active_users" : 2,
    "weekly_passive_copilot_code_review_users" : 0
  } ],
  "enterprise_id" : "2",
  "copilot_feature_engagement" : {
    "active_user_count" : 2,
    "totals_by_feature" : [ {
      "feature" : "code_completion",
      "engaged_user_count" : 2
    }, {
      "feature" : "agent_edit",
      "engaged_user_count" : 1
    }, {
      "feature" : "code_review_passive",
      "engaged_user_count" : 1
    }, {
      "feature" : "code_review_active",
      "engaged_user_count" : 1
    }, {
      "feature" : "cloud_agent",
      "engaged_user_count" : 1
    }, {
      "feature" : "copilot_cli",
      "engaged_user_count" : 1
    }, {
      "feature" : "github_app",
      "engaged_user_count" : 1
    } ]
  },
  "report_end_day" : "2025-10-01",
  "report_start_day" : "2025-09-04"
} ]

Em cada entrada totals_by_ai_adoption_phase, total_engaged_users é o subconjunto de usuários ativos naquele dia, enquanto users_in_phase_28d representa a população total classificada na fase usando a janela móvel de 28 dias naquela data.

Os relatórios agregados da organização usam o mesmo objeto copilot_feature_engagement de nível superior, campos de entrada totals_by_ai_adoption_phase e campos de entrada totals_by_3rd_party_agent, incluindo session_count. Eles também incluem organization_id.

Os campos de personalização mostrados em day_totals se aplicam a relatórios agregados de 28 dias para Enterprise e Organization. Eles também aparecem diretamente em relatórios agregados de 1 dia no nível de empresa e de organização. Assim como os relatórios por usuário, esses relatórios agregados incluem nomes configurados para personalizações criadas pela sua organização.

Da mesma forma, totals_by_client aparece em cada entrada day_totals em relatórios agregados de 28 dias por empresa e organização e diretamente no registro em relatórios agregados de 1 dia. Em relatórios agregados, a session_count de cada entrada totals_by_client é desduplicada em todos os usuários, em vez de ser somada a partir das contagens por usuário.

Os exemplos a seguir de relatórios de equipes de usuários são retornados pelos endpoints user-teams-1-day e devem ser combinados com o relatório de uso por usuário em user_id, day e com o ID da entidade relevante (organization_id para o escopo da organização, enterprise_id para o escopo da empresa) para obter métricas no nível da equipe. Para obter mais diretrizes, consulte Métricas de uso de Copilot no nível da equipe.

Observação

Equipes com menos de 5 usuários Copilot sentados são omitidas de relatórios do user-teams.

Exemplo de esquema de equipes de usuários da organização

JSON
[
  {
    "user_id": 1001,
    "user_login": "octocat",
    "day": "2026-05-14",
    "organization_id": "999",
    "team_id": 42,
    "slug": "frontend"
  },
  {
    "user_id": 1001,
    "user_login": "octocat",
    "day": "2026-05-14",
    "organization_id": "999",
    "team_id": 43,
    "slug": "backend"
  },
  {
    "user_id": 1002,
    "user_login": "hubot",
    "day": "2026-05-14",
    "organization_id": "999",
    "team_id": 42,
    "slug": "frontend"
  }
]

Exemplo de esquema de equipes de usuário da empresa

JSON
[
  {
    "user_id": 1001,
    "user_login": "octocat",
    "day": "2026-05-14",
    "enterprise_id": "1",
    "team_id": 9001,
    "slug": "eng-platform"
  },
  {
    "user_id": 1001,
    "user_login": "octocat",
    "day": "2026-05-14",
    "enterprise_id": "1",
    "team_id": 7001,
    "slug": "business-analytics"
  },
  {
    "user_id": 1002,
    "user_login": "hubot",
    "day": "2026-05-14",
    "enterprise_id": "1",
    "team_id": 9001,
    "slug": "eng-platform"
  }
]

Exemplo de esquema no nível do repositório

O exemplo a seguir mostra um relatório em nível de repositório de um arquivo NDJSON baixado de um endpoint repos-1-day. Cada linha representa um repositório com atividade de solicitação de pull no dia solicitado.

As linhas de escopo empresarial e organizacional incluem organization_id, que identifica a organização que possui o repositório. As linhas com escopo empresarial também incluem enterprise_id. As linhas com escopo da organização incluem enterprise_id somente quando uma empresa possui a organização.

O pull_request_review_times array está vazio quando o repositório não mesclou nenhum pull request qualificado naquele dia. Para saber quais pull requests são contados, consulte Dados disponíveis nas métricas de uso do Copilot.

Para a referência de campo, consulte Dados disponíveis nas métricas de uso do Copilot.

JSON
[
  {
    "day": "2026-07-14",
    "enterprise_id": "1001",
    "organization_id": "2002",
    "repo_id": 900000001,
    "repo_owner_name": "octodemo-metrics",
    "repo_name": "example-service-alpha",
    "repo_visibility": "INTERNAL",
    "pull_requests": {
      "total_reviewed": 1,
      "total_created": 1,
      "total_created_by_copilot": 1,
      "total_reviewed_by_copilot": 1,
      "total_merged": 1,
      "median_minutes_to_merge": 372.62,
      "total_suggestions": 0,
      "total_applied_suggestions": 0,
      "total_merged_created_by_copilot": 1,
      "median_minutes_to_merge_copilot_authored": 372.62,
      "total_copilot_suggestions": 0,
      "total_copilot_applied_suggestions": 0,
      "total_merged_reviewed_by_copilot": 1,
      "median_minutes_to_merge_copilot_reviewed": 372.62,
      "copilot_suggestions_by_comment_type": []
    },
    "pull_request_review_times": []
  },
  {
    "day": "2026-07-14",
    "enterprise_id": "1001",
    "organization_id": "2002",
    "repo_id": 900000003,
    "repo_owner_name": "octodemo-metrics",
    "repo_name": "example-service-gamma",
    "repo_visibility": "INTERNAL",
    "pull_requests": {
      "total_reviewed": 1,
      "total_created": 0,
      "total_created_by_copilot": 0,
      "total_reviewed_by_copilot": 1,
      "total_merged": 1,
      "median_minutes_to_merge": 1020.53,
      "total_suggestions": 0,
      "total_applied_suggestions": 1,
      "total_merged_created_by_copilot": 0,
      "total_copilot_suggestions": 0,
      "total_copilot_applied_suggestions": 1,
      "total_merged_reviewed_by_copilot": 1,
      "median_minutes_to_merge_copilot_reviewed": 1020.53,
      "copilot_suggestions_by_comment_type": [
        {
          "comment_type": "spelling",
          "total_copilot_suggestions": 0,
          "total_copilot_applied_suggestions": 1
        }
      ]
    },
    "pull_request_review_times": []
  },
  {
    "day": "2026-07-14",
    "organization_id": "3003",
    "enterprise_id": "",
    "repo_id": 900000010,
    "repo_owner_name": "octodemo-metrics",
    "repo_name": "example-service-delta",
    "repo_visibility": "PRIVATE",
    "pull_requests": {
      "total_reviewed": 1,
      "total_created": 0,
      "total_created_by_copilot": 0,
      "total_reviewed_by_copilot": 1,
      "total_merged": 2,
      "median_minutes_to_merge": 1332.96,
      "total_suggestions": 1,
      "total_applied_suggestions": 2,
      "total_merged_created_by_copilot": 1,
      "median_minutes_to_merge_copilot_authored": 1329.47,
      "total_copilot_suggestions": 1,
      "total_copilot_applied_suggestions": 2,
      "total_merged_reviewed_by_copilot": 2,
      "median_minutes_to_merge_copilot_reviewed": 1332.96,
      "copilot_suggestions_by_comment_type": [
        {
          "comment_type": "documentation",
          "total_copilot_suggestions": 1,
          "total_copilot_applied_suggestions": 1
        },
        {
          "comment_type": "spelling",
          "total_copilot_suggestions": 0,
          "total_copilot_applied_suggestions": 1
        }
      ]
    },
    "pull_request_review_times": []
  },
  {
    "day": "2026-07-14",
    "enterprise_id": "1001",
    "organization_id": "2002",
    "repo_id": 900000020,
    "repo_owner_name": "octodemo-metrics",
    "repo_name": "example-service-epsilon",
    "repo_visibility": "INTERNAL",
    "pull_requests": {
      "total_reviewed": 1,
      "total_created": 1,
      "total_created_by_copilot": 0,
      "total_reviewed_by_copilot": 0,
      "total_merged": 2,
      "median_minutes_to_merge": 1368.26,
      "total_suggestions": 0,
      "total_applied_suggestions": 0,
      "total_merged_created_by_copilot": 0,
      "total_copilot_suggestions": 0,
      "total_copilot_applied_suggestions": 0,
      "total_merged_reviewed_by_copilot": 0,
      "copilot_suggestions_by_comment_type": []
    },
    "pull_request_review_times": [
      {
        "authored_by": "human",
        "reviewed_by": "human",
        "total_merged": 2,
        "median_minutes_ready_to_first_review": 693.31,
        "p90_minutes_ready_to_first_review": 1244.14,
        "median_minutes_first_to_final_review": 0,
        "p90_minutes_first_to_final_review": 0,
        "median_minutes_final_review_to_merge": 674.95,
        "p90_minutes_final_review_to_merge": 1213.66
      }
    ]
  }
]