Export API

Docs > LLM Observability > Evaluations > Export API

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Overview

The LLM Observability Export API provides endpoints to retrieve span data. These endpoints allow you to programmatically access your LLM Observability data for running external evaluations and exporting spans for offline storage.

By default, we export spans from the past 15 minutes. If you need to search outside of this timeframe, please specify a time range in your request.

Search spans

Use this endpoint to search and filter LLM Observability spans based on specific criteria.

Endpoint: https://api./api/v2/llm-obs/v1/spans/events/search
Method: POST

Request

Headers (required)

DD-API-KEY=<YOUR_DATADOG_API_KEY>
DD-APPLICATION-KEY=<YOUR_DATADOG_APPLICATION_KEY>
Content-Type="application/vnd.api+json"

Body data (required)

Field	Type	Description
data[required]	SearchSpansRequest	Entry point into the request body.

{
  "data": {
    "type": "spans",
    "attributes": {
      "filter": {
        "from": "2025-10-27T00:00:00Z",
        "to": "2025-10-29T23:59:59Z",
        "trace_id": "123456789",
        "span_kind": "llm",
        "tags": {
          "test-key": "correct-test-value"
        }
      },
      "page": {
        "limit": 2
      },
      "options": {
        "time_offset": 3600
      },
      "sort": "timestamp"
    }
  }
}

Code example

curl -X POST "https://api.datadoghq.com/api/v2/llm-obs/v1/spans/events/search" \
-H "DD-API-KEY: <YOUR_DATADOG_API_KEY>" \
-H "DD-APPLICATION-KEY: <YOUR_DATADOG_APPLICATION_KEY>" \
-H "Content-Type: application/vnd.api+json" \
-d @- << EOF
{
  "data": {
    "type": "spans",
    "attributes": {
      "filter": {
        "from": "2025-10-27T00:00:00Z",
        "to": "2025-10-29T23:59:59Z",
        "span_id": "14624140233640368324"
      }
    }
  }
}
EOF

List spans

Use this endpoint to retrieve a list of LLM Observability spans.

Endpoint: https://api./api/v2/llm-obs/v1/spans/events
Method: GET

Request

Headers (required)

DD-API-KEY=<YOUR_DATADOG_API_KEY>
DD-APPLICATION-KEY=<YOUR_DATADOG_APPLICATION_KEY>

Query parameters

Parameter	Type	Description
filter[span_id]	string	Searches for a specific span by its span ID.
filter[trace_id]	string	Searches for spans by their trace ID.
filter[tag][key]	string	Searches for spans by tag key / value pairs.
filter[span_kind]	string	The span kind: “agent”, “workflow”, “llm”, “tool”, “task”, “embedding”, or “retrieval”.
filter[span_name]	string	Searches for spans based on their provided name.
filter[ml_app]	string	Searches for spans submitted under a particular ML Application.
filter[from]	string	Minimum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds). Defaults to the current time minus 15 minutes.
filter[to]	string	Maximum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds). Defaults to the current time.
sort	string	Sort order. Allowed values: timestamp, -timestamp
page[cursor]	string	List following results with a cursor provided in the previous query.
page[limit]	integer	Maximum number of spans in the response. Default: 10. Maximum configurable limit: 5000.

Code example

curl -G "https://api.datadoghq.com/api/v2/llm-obs/v1/spans/events" \
-H "DD-API-KEY: <YOUR_DATADOG_API_KEY>" \
-H "DD-APPLICATION-KEY: <YOUR_DATADOG_APPLICATION_KEY>" \
# searches for spans from the past 15 minutes
--data-urlencode "filter[trace_id]=6903738200000000af2d3775dfc70530"

Response

Both endpoints have the same response format. Results are paginated.

Field	Type	Description
data	[SearchedSpanResource]	List of spans matching the search criteria.
meta	Meta	Metadata about the response.
links	Links	Links attributes.

{
  "data": [
    {
      "id": "14624140233640368324",
      "type": "span",
      "attributes": {
        "duration": 83000,
        "input": {
          "value": "hi",
          "messages": [
            {
              "content": "hi",
              "role": "user"
            }
          ]
        },
        "metadata": {
          "test-key": "test-value"
        },
        "metrics": {
          "cache_read_input_tokens": 0,
          "cache_write_input_tokens": 0,
          "estimated_cache_read_input_cost": 0,
          "estimated_cache_write_input_cost": 0,
          "estimated_input_cost": 1500,
          "estimated_non_cached_input_cost": 1500,
          "estimated_output_cost": 6000,
          "estimated_total_cost": 7500,
          "input_tokens": 10,
          "non_cached_input_tokens": 10,
          "output_tokens": 10,
          "total_tokens": 20
        },
        "ml_app": "test-ml-app",
        "model_name": "gpt-4o-mini",
        "model_provider": "openai",
        "name": "llm_call_enriched",
        "output": {
          "value": "hello there",
          "messages": [
            {
              "content": "hello there",
              "role": "assistant"
            }
          ]
        },
        "parent_id": "undefined",
        "span_id": "14624140233640368324",
        "span_kind": "llm",
        "start_ns": 1761833858897,
        "status": "ok",
        "tags": [
          "service:test-service",
          "env:prod",
          "ddtrace.version:3.17",
          "test-key:test-value",
          "error:0",
          "source:llm-observability",
          "source:integration",
          "ml_app:test-ml-app",
          "version:",
          "language:python"
        ],
        "tool_definitions": [
          {
            "name": "test-tool",
            "description": "A test tool",
            "schema": {
              "test-key": "test-value"
            }
          }
        ],
        "trace_id": "6903738200000000af2d3775dfc70530"
      }
    }
  ],
  "meta": {
    "elapsed": 336,
    "request_id": "pddv1ChZucHRwTW96NFNfT3Z4bWFLTFBDWkR3Ii0KHYhY65R_1R21AyDpavSaeO2sul_V6omQLAyWutrzEgx-GnVDrZaMu-lW-Yc",
    "status": "done",
    "page": null
  }
}

API standards

SearchSpansRequest

Field	Type	Description
type [required]	string	Identifier for the request. Set to `spans`.
attributes [required]	SearchSpansPayload	The body of the request.

SearchSpansPayload

Field	Type	Description
filter	Filter	The search and filter query settings.
options	Options	Global query options that are used during the query.
page	PageQuery	Paging attributes for listing spans.
sort	string	Sort order. Allowed values: timestamp, -timestamp

Filter

Field	Type	Description
span_id	string	Searches for a specific span by its span ID.
trace_id	string	Searches for spans by their trace ID.
tags	Dict[key (string), string]	Search for spans by tag key / value pairs.
span_kind	string	The span kind: “agent”, “workflow”, “llm”, “tool”, “task”, “embedding”, or “retrieval”.
span_name	string	Searches for spans based on their provided name.
ml_app	string	Search for spans submitted under a particular ML Application.
from	string	Minimum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds). Defaults to the current time minus 15 minutes.
to	string	Maximum timestamp for requested spans. Supports date-time ISO8601, date math, and regular timestamps (milliseconds). Defaults to the current time.

Options

Field	Type	Description
time_offset	integer	The time offset (in seconds) to apply to the query.

PageQuery

Field	Type	Description
limit	integer	Maximum number of spans in the response. Default: 10. Maximum configurable limit: 5000.
cursor	string	List following results with a cursor provided in the previous query.

SearchedSpanResource

Field	Type	Description
type	string	Type of the span. Allowed values: span. Default: span.
id	string	Unique ID of the span.
attributes	SearchedSpan	Object containing all span attributes and their associated values.

SearchedSpan

Field	Type	Description
span_id	string	An ID unique to the span.
trace_id	string	A unique ID shared by all spans in the same trace.
parent_id	string	ID of the span’s direct parent.
tags	[string]	Array of tags associated with your span.
name	string	The name of the span.
status	string	Error status (“ok” or “error”).
start_ns	integer	The span’s start time in nanoseconds.
duration	float	The span’s duration in nanoseconds.
ml_app	string	The name of the span’s LLM Application.
metadata	Dict[key (string), any]	Data about the span that is not input or output related.
span_kind	string	The span kind: “agent”, “workflow”, “llm”, “tool”, “task”, “embedding”, or “retrieval”.
model_name	string	The name of the model used in the request. Only applicable to LLM spans.
model_provider	string	The provider for the model used in the request. Only applicable to LLM spans.
input	SearchedIO	The span’s input information.
output	SearchedIO	The span’s output information.
tool_definitions	[ToolDefinition]	List of tools available in an LLM request.
metrics	Dict[key (string), float]	Datadog metrics to collect.

SearchedIO

Field	Type	Description
value	string	Input or output value.
messages	[Message]	List of messages. This is only relevant for LLM spans.

Message

Field	Type	Description
content	string	The body of the message.
role	string	The role of the entity.

ToolDefinition

Field	Type	Description
name	string	The name of the tool.
description	string	The description of the tool’s function.
schema	Dict[key (string), any]	Data about the arguments a tool accepts.

Field	Type	Description
elapsed	integer	The time elapsed in milliseconds.
page	Page	Paging attributes.
request_id	string	The identifier of the request.
status	string	The status of the response. Allowed values: done,timeout

Page

Field	Type	Description
after	string	The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the `page[cursor]` field.

Links

Field	Type	Description
next	string	Link for the next set of results. See Pagination.

Export API

Overview

Search spans

Request

Headers (required)

Body data (required)

Code example

List spans

Request

Headers (required)

Query parameters

Code example

Response

API standards

SearchSpansRequest

SearchSpansPayload

Filter

Options

PageQuery

SearchedSpanResource

SearchedSpan

SearchedIO

Message

ToolDefinition

Meta

Page

Links