Oodle

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

1. Get your Oodle Credentials

Sign in to your Oodle account
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

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:

OODLE_ENDPOINT with your Oodle endpoint
INSTANCE_ID with your Oodle instance ID
API_KEY with your Oodle API key

3. Instrument your application

For direct integration into your Python applications:

Function Arguments
Environment Variables

import openlit

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

Replace:

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

import openlit

openlit.init()

Set these environment variables:

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

Replace:

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

Refer to the OpenLIT Python SDK repository for more advanced configurations and use cases.

For zero-code auto-instrumentation via command line:

CLI Arguments
Environment Variables

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

Replace:

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

# 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
openlit-instrument python app.py

Replace:

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

Refer to the OpenLIT Python SDK repository for more advanced configurations and use cases.

4. Import Oodle Dashboard

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

Log into your Oodle Instance
Navigate to Dashboards: Click Dashboards in the primary menu
Import Dashboard: Click New → Import in the drop-down menu
Copy the Dashboard JSON: Use the JSON provided in the accordion below
Paste and Import: Paste the JSON directly into the text area and click Import
Save the Dashboard: Save the imported dashboard

GenAI Observability Dashboard 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=\"openlit\", 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": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(increase(gen_ai_client_token_usage_sum{telemetry_sdk_name=\"openlit\", service_name=~\"$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=\"openlit\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__interval])) \n/ \n(sum(last_over_time(gen_ai_usage_cost_count{telemetry_sdk_name=\"openlit\", service_name=~\"$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=\"openlit\", 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": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "increase(gen_ai_usage_cost_sum{telemetry_sdk_name=\"openlit\", service_name=~\"$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": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "sum(rate(gen_ai_client_operation_duration_count{http_status_code!~\"4..|5..\", telemetry_sdk_name=\"openlit\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])) / sum(rate(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"openlit\", 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=\"openlit\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n  -  \n  (sum(increase(gen_ai_client_operation_duration_count{error_type=~\".+\", telemetry_sdk_name=\"openlit\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])) or vector(0))  \n)  \n/  \nsum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"openlit\", 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=\"openlit\", error_type=~\".+\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval]))  \n/  \nsum(increase(gen_ai_client_operation_duration_count{telemetry_sdk_name=\"openlit\", service_name=~\"$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=\"openlit\", 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": "${metrics_datasource}"
          },
          "editorMode": "code",
          "expr": "histogram_quantile(0.95, sum by (le, gen_ai_provider_name) (rate(gen_ai_server_time_to_first_token_bucket{telemetry_sdk_name=\"openlit\", service_name=~\"$service_name\", deployment_environment=~\"$deployment_environment\"}[$__rate_interval])))",
          "legendFormat": "{{gen_ai_provider_name}} P95",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "Time to First Token",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${metrics_datasource}"
      },
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Your OpenLIT-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

Getting Started

Core Features

Integrations

Destinations

1. Get your Oodle Credentials

2. Configure OpenTelemetry Collector

3. Instrument your application

4. Import Oodle Dashboard

​1. Get your Oodle Credentials

​2. Configure OpenTelemetry Collector

​3. Instrument your application

​4. Import Oodle Dashboard

1. Get your Oodle Credentials

2. Configure OpenTelemetry Collector

3. Instrument your application

4. Import Oodle Dashboard