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To send OpenTelemetry metrics generated by ARMS from your AI Application to Oodle, follow the below steps.

1. Get your Oodle Credentials ​

  1. Sign in to your Oodle account
  2. Get your Oodle credentials:
    • OODLE_ENDPOINT: Your Oodle metrics ingestion endpoint
    • INSTANCE_ID: Your Oodle instance identifier
    • API_KEY: Your Oodle API key for authentication

2. Configure OpenTelemetry Collector ​

Install OpenTelemetry Collector (if not already running): For detailed installation instructions, refer to the OpenTelemetry Collector Documentation.

Configure the Collector for Oodle integration:

Complete Collector Configuration
yaml
receivers:
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318

processors:
  batch:

exporters:
  otlphttp/oodle:
    metrics_endpoint: "https://OODLE_ENDPOINT/v1/otlp/metrics/INSTANCE_ID"
    headers:
      X-API-KEY: "API_KEY"
  debug:
    verbosity: detailed
    sampling_initial: 5
    sampling_thereafter: 200

service:
  pipelines:
    metrics:
      receivers: [otlp]
      processors: [batch]
      exporters: [otlphttp/oodle]
    traces:
      receivers: [otlp]
      processors: [batch]
      exporters: [debug]

Replace:

  1. OODLE_ENDPOINT with your Oodle endpoint
  2. INSTANCE_ID with your Oodle instance ID
  3. API_KEY with your Oodle API key

3. Instrument your application ​

SDK ​

For direct integration into your Python applications:

Function Arguments ​
python
import elsai_arms

elsai_arms.init(
  otlp_endpoint="YOUR_OTELCOL_URL:4318"
)

Replace:

  1. YOUR_OTELCOL_URL:4318 with your OpenTelemetry Collector HTTP endpoint.
    • Example (Local): http://127.0.0.1:4318
    • Example (Remote): http://otel-collector.company.com:4318
Environment Variables ​
python
import elsai_arms

elsai_arms.init()

Set these environment variables:

shell
export OTEL_EXPORTER_OTLP_ENDPOINT="YOUR_OTELCOL_URL:4318"
export OTEL_SERVICE_NAME="my-ai-service"
export OTEL_DEPLOYMENT_ENVIRONMENT="production"

Replace:

  1. YOUR_OTELCOL_URL:4318 with your OpenTelemetry Collector HTTP endpoint.
    • Example (Local): http://127.0.0.1:4318
    • Example (Remote): http://otel-collector.company.com:4318

See the ARMS SDK configuration docs for more advanced options.

CLI ​

For zero-code auto-instrumentation via command line:

CLI Arguments ​
shell
# Using CLI arguments
elsai-arms-instrument \
  --otlp-endpoint "YOUR_OTELCOL_URL:4318" \
  --service-name "my-ai-service" \
  --deployment-environment "production" \
  python app.py

Replace:

  1. YOUR_OTELCOL_URL:4318 with your OpenTelemetry Collector HTTP endpoint.
    • Example (Local): http://127.0.0.1:4318
    • Example (Remote): http://otel-collector.company.com:4318
Environment Variables ​
shell
# Set environment variables (takes precedence over CLI args)
export OTEL_EXPORTER_OTLP_ENDPOINT="YOUR_OTELCOL_URL:4318"
export OTEL_SERVICE_NAME="my-ai-service"
export OTEL_DEPLOYMENT_ENVIRONMENT="production"

# Run your application
elsai-arms-instrument python app.py

Replace:

  1. YOUR_OTELCOL_URL:4318 with your OpenTelemetry Collector HTTP endpoint.
    • Example (Local): http://127.0.0.1:4318
    • Example (Remote): http://otel-collector.company.com:4318

See the ARMS SDK configuration docs for more advanced options.

4. Import Oodle Dashboard ​

Once your LLM application is instrumented, you can visualize the metrics in Oodle using our pre-built dashboard:

  1. Log into your Oodle Instance
  2. Navigate to Dashboards: Click Dashboards in the primary menu
  3. Import Dashboard: Click New → Import in the drop-down menu
  4. Copy the Dashboard JSON: Use the JSON provided in the accordion below
  5. Paste and Import: Paste the JSON directly into the text area and click Import
  6. Save the Dashboard: Save the imported dashboard
GenAI Observability Dashboard JSON
json
{
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": {
          "type": "grafana",
          "uid": "-- Grafana --"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "editable": true,
  "fiscalYearStartMonth": 0,
  "graphTooltip": 1,
  "id": 7995,
  "links": [],
  "panels": [
    {
      "fieldConfig": {
        "defaults": {},
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 4,
        "x": 0,
        "y": 0
      },
      "id": 61,
      "options": {
        "code": {
          "language": "plaintext",
          "showLineNumbers": false,
          "showMiniMap": false
        },
        "content": "
<img \n src=\"https://www.oodle.ai/img/logo.svg\"\n width=\"100%\"\n height=\"100%\" />
",
        "mode": "html"
      },
      "pluginVersion": "12.3.1",
      "title": "",
      "transparent": true,
      "type": "text"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "blue",
            "mode": "palette-classic-by-name"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "red",
                "value": 0
              },
              {
                "color": "#EAB839",
                "value": 10
              },
              {
                "color": "#6ED0E0",
                "value": 100
              }
            ]
          },
          "unit": "none"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 5,
        "x": 4,
        "y": 0
      },
      "id": 22,
      "options": {
        "colorMode": "background",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "standard",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "textMode": "value_and_name",
        "wideLayout": true
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__range]))",
          "legendFormat": "Total Requests",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "",
      "transparent": true,
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "purple",
            "mode": "shades"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 5,
        "x": 9,
        "y": 0
      },
      "id": 3,
      "options": {
        "colorMode": "background",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "standard",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(increase(gen_ai_client_token_usage_sum{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__range]))",
          "legendFormat": "Total Usage Tokens",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "",
      "transparent": true,
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "blue",
            "mode": "shades"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "#EAB839",
                "value": 0.5
              },
              {
                "color": "red",
                "value": 1
              }
            ]
          },
          "unit": "currencyUSD"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 5,
        "x": 14,
        "y": 0
      },
      "id": 5,
      "options": {
        "colorMode": "background",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "inverted",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(last_over_time(gen_ai_usage_cost_sum{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__interval])) \n/ \n(sum(last_over_time(gen_ai_usage_cost_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__interval])))",
          "legendFormat": "Avg Usage Cost",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "",
      "transparent": true,
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "fixedColor": "blue",
            "mode": "shades"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "currencyUSD"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 5,
        "x": 19,
        "y": 0
      },
      "id": 2,
      "options": {
        "colorMode": "background",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "standard",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(last_over_time(gen_ai_usage_cost_sum{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__interval]))",
          "legendFormat": "Total Usage Cost",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "",
      "transparent": true,
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "palette-classic"
          },
          "custom": {
            "axisBorderShow": false,
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "barWidthFactor": 0.6,
            "drawStyle": "line",
            "fillOpacity": 100,
            "gradientMode": "opacity",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 2,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "auto",
            "showValues": false,
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "min": 0,
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "currencyUSD"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 7,
        "w": 12,
        "x": 0,
        "y": 4
      },
      "id": 55,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "hideZeros": true,
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "increase(gen_ai_usage_cost_sum{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[1h]) / 1000",
          "legendFormat": "{{gen_ai_provider_name}} / {{gen_ai_request_model}}",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "Cost Trend Analysis",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "palette-classic"
          },
          "custom": {
            "axisBorderShow": false,
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "barWidthFactor": 0.6,
            "drawStyle": "line",
            "fillOpacity": 100,
            "gradientMode": "opacity",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",
            "lineWidth": 2,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "auto",
            "showValues": false,
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "min": 0,
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "percent"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 12,
        "x": 12,
        "y": 4
      },
      "id": 56,
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "hideZeros": false,
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(rate(gen_ai_client_operation_duration_count{http_status_code!~\"4..|5..\", telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])) / sum(rate(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])) * 100",
          "hide": true,
          "legendFormat": "Total Requests",
          "range": true,
          "refId": "A"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "(  \n  sum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n  -  \n  (sum(increase(gen_ai_client_operation_duration_count{error_type=~\".+\", telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])) or vector(0))  \n)  \n/  \nsum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n* 100  ",
          "hide": true,
          "legendFormat": "__auto",
          "range": true,
          "refId": "B"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", error_type=~\".+\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n/  \nsum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n* 100  ",
          "legendFormat": "__auto",
          "range": true,
          "refId": "C"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "histogram_quantile(0.95, sum by(le, gen_ai_provider_name) (rate(gen_ai_client_operation_duration_bucket{service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])))  ",
          "hide": true,
          "legendFormat": "{{gen_ai_provider_name}}",
          "range": true,
          "refId": "D"
        }
      ],
      "title": "Error Rate %",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "palette-classic"
          },
          "custom": {
            "align": "left",
            "cellOptions": {
              "mode": "basic",
              "type": "gauge"
            },
            "footer": {
              "reducers": []
            },
            "inspect": false
          },
          "decimals": 0,
          "mappings": [],
          "min": 0,
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "short"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "Metric"
            },
            "properties": [
              {
                "id": "displayName",
                "value": "Model"
              },
              {
                "id": "custom.width",
                "value": 150
              },
              {
                "id": "custom.cellOptions",
                "value": {
                  "type": "auto"
                }
              }
            ]
          }
        ]
      },
      "gridPos": {
        "h": 7,
        "w": 12,
        "x": 12,
        "y": 8
      },
      "id": 65,
      "options": {
        "cellHeight": "md",
        "frameIndex": 0,
        "showHeader": true,
        "sortBy": [
          {
            "desc": true,
            "displayName": "Model"
          }
        ]
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "topk(5, sum by(gen_ai_request_model) (last_over_time(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"elsai-arms\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__range])))",
          "instant": true,
          "legendFormat": "{{gen_ai_request_model}}",
          "refId": "A"
        }
      ],
      "title": "Top 5 Models by Requests",
      "transformations": [
        {
          "id": "seriesToRows",
          "options": {}
        },
        {
          "id": "organize",
          "options": {
            "excludeByName": {
              "Time": true
            },
            "renameByName": {
              "Metric": "Model",
              "Value": "Requests"
            }
          }
        }
      ],
      "type": "table"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "thresholds"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": 0
              },
              {
                "color": "yellow",
                "value": 2
              },
              {
                "color": "red",
                "value": 5
              }
            ]
          },
          "unit": "s"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 4,
        "w": 12,
        "x": 0,
        "y": 11
      },
      "id": 58,
      "options": {
        "colorMode": "value",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "standard",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "12.3.1",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${metrics_datasource}"
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Your ARMS-instrumented AI applications will appear in Oodle with comprehensive metrics including:

  • LLM Request Rates: Monitor request volume and patterns
  • Usage Costs: Track AI model costs and budget allocation
  • Token Consumption: Analyze input/output token usage
  • Model Performance: Compare performance across different models
  • VectorDB Operations: Monitor database requests and operations
  • Application Breakdown: View metrics by application and environment

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