feat(llmobs): allow versioned dataset pulling (#14921)

## Description

this PR allows users to optionally pull a specific version of a dataset
by specifying the version in the `pull_dataset` call

## Testing

with the following script to first pull the latest version, then a
specified version, and a non existent version, we get the following
output:
```
import os
import math

from dotenv import load_dotenv
# Load environment variables from the .env file.
load_dotenv(override=True)

from ddtrace.llmobs import LLMObs

LLMObs.enable(api_key=os.getenv("DD_API_KEY"), app_key=os.getenv("DD_APPLICATION_KEY"),  project_name="Onboarding", ml_app="Onboarding-ML-App")

import ddtrace
print(ddtrace.get_version())


dataset = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project")
print("LATEST VERSION")
print(dataset.as_dataframe())

print(f"version: {dataset.version}")
print(f"current version: {dataset.latest_version}")

print(dataset.url)

print("\nOLDER BELOW")
dataset1 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=5)

print(dataset1.as_dataframe())

print(f"version: {dataset1.version}")
print(f"current version: {dataset1.latest_version}")

print(dataset1.url)

print("\nNON EXISTENT VERSION")
dataset2 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=500)
print(dataset2.as_dataframe())

print(f"version: {dataset2.version}")
print(f"current version: {dataset2.latest_version}")

print(dataset2.url)
```

output:
```
3.18.0.dev5+g960d810f4
LATEST VERSION
unexpected metadata format <class 'str'>
                                         expected_output                                         input_data

0      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
1      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
2      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
3      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
4      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
...                                                  ...                                                ...
45000  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
45001  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
45002  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
45003  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
45004                                                  1                                              first

[45005 rows x 2 columns]
version: 6
current version: 6
https://app.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e

OLDER BELOW
                                         expected_output                                         input_data

0      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
1      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
2      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
3      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
4      bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
...                                                  ...                                                ...
34999  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
35000  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
35001  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
35002  bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...  aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...
35003                                                  1                                              first

[35004 rows x 2 columns]
version: 5
current version: 6
https://app.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e

NON EXISTENT VERSION
Traceback (most recent call last):
  File "/Users/gary.huang/go/src/github.com/DataDog/llm-observability/preview/experiments/notebooks/test-big-pull.py", line 35, in <module>
    dataset2 = LLMObs.pull_dataset("1-then-big-gh-09021124", project_name="default-project", version=500)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gary.huang/go/src/github.com/DataDog/dd-trace-py/ddtrace/llmobs/_llmobs.py", line 675, in pull_dataset
    ds = cls._instance._dne_client.dataset_get_with_records(
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/gary.huang/go/src/github.com/DataDog/dd-trace-py/ddtrace/llmobs/_writer.py", line 509, in dataset_get_with_records
    raise ValueError(
ValueError: Failed to pull dataset records for 1-then-big-gh-09021124, page=0: 400 {'errors': [{'title': 'Generic Error', 'detail': 'invalid version: version is greater than the current version or negative'}]}
```

the number of entries match the different versions of the dataset:
https://dddev.datadoghq.com/llm/datasets/a68e7967-9d2b-4171-a887-f55ba4dbfe5e

## Risks

<!-- Note any risks associated with this change, or "None" if no risks
-->

## Additional Notes

<!-- Any other information that would be helpful for reviewers -->

---------

Co-authored-by: Sam Brenner <[email protected]>

Author: gary-huang

ddtrace/llmobs/_experiment.py

@@ -107,6 +107,7 @@ class Dataset:
     _id: str
     _records: List[DatasetRecord]
     _version: int
+    _latest_version: int
     _dne_client: "LLMObsExperimentsClient"
     _new_records_by_record_id: Dict[str, DatasetRecordRaw]
     _updated_record_ids_to_new_fields: Dict[str, UpdatableDatasetRecord]
@@ -121,13 +122,15 @@ def __init__(
         dataset_id: str,
         records: List[DatasetRecord],
         description: str,
+        latest_version: int,
         version: int,
         _dne_client: "LLMObsExperimentsClient",
     ) -> None:
         self.name = name
         self.project = project
         self.description = description
         self._id = dataset_id
+        self._latest_version = latest_version
         self._version = version
         self._dne_client = _dne_client
         self._records = records
@@ -168,7 +171,10 @@ def push(self) -> None:
                 record["record_id"] = record_id  # type: ignore
 
             # FIXME: we don't get version numbers in responses to deletion requests
-            self._version = new_version if new_version != -1 else self._version + 1
+            self._latest_version = new_version if new_version != -1 else self._latest_version + 1
+            # no matter what the version was before the push, pushing will result in the dataset being on the current
+            # version tracked by the backend
+            self._version = self._latest_version
         self._new_records_by_record_id = {}
         self._deleted_record_ids = []
         self._updated_record_ids_to_new_fields = {}
@@ -225,6 +231,14 @@ def url(self) -> str:
         # FIXME: will not work for subdomain orgs
         return f"{_get_base_url()}/llm/datasets/{self._id}"
 
+    @property
+    def latest_version(self) -> int:
+        return self._latest_version
+
+    @property
+    def version(self) -> int:
+        return self._version
+
     def _estimate_delta_size(self) -> int:
         """rough estimate (in bytes) of the size of the next batch update call if it happens"""
         size = len(safe_json(self._new_records_by_record_id)) + len(safe_json(self._updated_record_ids_to_new_fields))
@@ -434,6 +448,7 @@ def _run_task(self, jobs: int, raise_errors: bool = False, sample_size: Optional
                 dataset_id=self._dataset._id,
                 records=subset_records,
                 description=self._dataset.description,
+                latest_version=self._dataset._latest_version,
                 version=self._dataset._version,
                 _dne_client=self._dataset._dne_client,
             )

ddtrace/llmobs/_llmobs.py

@@ -669,8 +669,12 @@ def _on_asyncio_execute_task(self, task_data: Dict[str, Any]) -> None:
             self._llmobs_context_provider.activate(llmobs_ctx)
 
     @classmethod
-    def pull_dataset(cls, dataset_name: str, project_name: Optional[str] = None) -> Dataset:
-        ds = cls._instance._dne_client.dataset_get_with_records(dataset_name, (project_name or cls._project_name))
+    def pull_dataset(
+        cls, dataset_name: str, project_name: Optional[str] = None, version: Optional[int] = None
+    ) -> Dataset:
+        ds = cls._instance._dne_client.dataset_get_with_records(
+            dataset_name, (project_name or cls._project_name), version
+        )
         return ds
 
     @classmethod

ddtrace/llmobs/_writer.py

@@ -11,6 +11,7 @@
 from typing import TypedDict
 from typing import Union
 from typing import cast
+import urllib
 from urllib.parse import quote
 from urllib.parse import urlparse
 
@@ -400,7 +401,16 @@ def dataset_create(
         if dataset_id is None or dataset_id == "":
             raise ValueError(f"unexpected dataset state, invalid ID (is None: {dataset_id is None})")
         curr_version = response_data["data"]["attributes"]["current_version"]
-        return Dataset(dataset_name, project, dataset_id, [], description, curr_version, _dne_client=self)
+        return Dataset(
+            name=dataset_name,
+            project=project,
+            dataset_id=dataset_id,
+            records=[],
+            description=description,
+            latest_version=curr_version,
+            version=curr_version,
+            _dne_client=self,
+        )
 
     @staticmethod
     def _get_record_json(record: Union[UpdatableDatasetRecord, DatasetRecordRaw], is_update: bool) -> JSONType:
@@ -458,10 +468,14 @@ def dataset_batch_update(
         new_record_ids: List[str] = [r["id"] for r in data] if data else []
         return new_version, new_record_ids
 
-    def dataset_get_with_records(self, dataset_name: str, project_name: Optional[str] = None) -> Dataset:
+    def dataset_get_with_records(
+        self, dataset_name: str, project_name: Optional[str] = None, version: Optional[int] = None
+    ) -> Dataset:
         project = self.project_create_or_get(project_name)
         project_id = project.get("_id")
-        logger.debug("getting records with project ID %s for %s", project_id, project_name)
+        logger.debug(
+            "getting records with project ID %s for %s, version: %s", project_id, project_name, str(version) or "latest"
+        )
 
         path = f"/api/unstable/llm-obs/v1/{project_id}/datasets?filter[name]={quote(dataset_name)}"
         resp = self.request("GET", path)
@@ -480,11 +494,17 @@ def dataset_get_with_records(self, dataset_name: str, project_name: Optional[str
         dataset_id = data[0]["id"]
 
         list_base_path = f"/api/unstable/llm-obs/v1/datasets/{dataset_id}/records"
+
         has_next_page = True
         class_records: List[DatasetRecord] = []
-        list_path = list_base_path
         page_num = 0
+        url_options = {}
         while has_next_page:
+            if version:
+                url_options["filter[version]"] = version
+
+            list_path = f"{list_base_path}?{urllib.parse.urlencode(url_options, safe='[]')}"
+            logger.debug("list records page %d, request path=%s", page_num, list_path)
             resp = self.request("GET", list_path, timeout=self.LIST_RECORDS_TIMEOUT)
             if resp.status != 200:
                 raise ValueError(
@@ -504,14 +524,22 @@ def dataset_get_with_records(self, dataset_name: str, project_name: Optional[str
                     }
                 )
             next_cursor = records_data.get("meta", {}).get("after")
+
+            url_options = {}
             has_next_page = False
             if next_cursor:
                 has_next_page = True
-                list_path = f"{list_base_path}?page[cursor]={next_cursor}"
-                logger.debug("next list records request path %s", list_path)
+                url_options["page[cursor]"] = next_cursor
                 page_num += 1
         return Dataset(
-            dataset_name, project, dataset_id, class_records, dataset_description, curr_version, _dne_client=self
+            name=dataset_name,
+            project=project,
+            dataset_id=dataset_id,
+            records=class_records,
+            description=dataset_description,
+            latest_version=curr_version,
+            version=version or curr_version,
+            _dne_client=self,
         )
 
     def dataset_bulk_upload(self, dataset_id: str, records: List[DatasetRecord]):

releasenotes/notes/llmobs-dne-allow-versioned-dataset-pull-c7017f982b2c1f5b.yaml

@@ -0,0 +1,8 @@
+---
+features:
+  - |
+    LLM Observability: Previous dataset versions can be optionally pulled by passing the ``version`` 
+    argument to ``LLMObs.pull_dataset``
+  - |
+    LLM Observability: Datasets have new properties ``version`` and ``latest_version`` to provide information on the
+    version of the dataset that is being worked with and the latest global version of the dataset, respectively

tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_0bb93ae7-43c4-48ff-91e4-d2817fee85fe_batch_update_post_aa45718c.yaml

@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: '{"data": {"type": "datasets", "id": "0bb93ae7-43c4-48ff-91e4-d2817fee85fe",
+      "attributes": {"insert_records": [{"input": {"prompt": "What is the capital
+      of France?"}, "expected_output": {"answer": "Paris"}, "metadata": null}], "update_records":
+      [], "delete_records": []}}}'
+    headers:
+      Accept:
+      - '*/*'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Accept-Encoding
+      : - identity
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '271'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Content-Type
+      : - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: https://api.datadoghq.com/api/unstable/llm-obs/v1/datasets/0bb93ae7-43c4-48ff-91e4-d2817fee85fe/batch_update
+  response:
+    body:
+      string: '{"data":[{"id":"eaadecb4-836e-49b3-8390-212b3fffb60b","type":"datasets","attributes":{"author":{"id":"de473b30-eb9f-11e9-a77a-c7405862b8bd"},"created_at":"2025-10-21T18:26:24.929416376Z","dataset_id":"0bb93ae7-43c4-48ff-91e4-d2817fee85fe","expected_output":{"answer":"Paris"},"input":{"prompt":"What
+        is the capital of France?"},"updated_at":"2025-10-21T18:26:24.929416376Z","version":1}}]}'
+    headers:
+      content-length:
+      - '389'
+      content-security-policy:
+      - frame-ancestors 'self'; report-uri https://logs.browser-intake-datadoghq.com/api/v2/logs?dd-api-key=pube4f163c23bbf91c16b8f57f56af9fc58&dd-evp-origin=content-security-policy&ddsource=csp-report&ddtags=site%3Adatadoghq.com
+      content-type:
+      - application/vnd.api+json
+      date:
+      - Tue, 21 Oct 2025 18:26:24 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+    status:
+      code: 200
+      message: OK
+version: 1

tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_0bb93ae7-43c4-48ff-91e4-d2817fee85fe_records_filter_version__420_get_0060e684.yaml

@@ -0,0 +1,46 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Accept-Encoding
+      : - identity
+      Connection:
+      - keep-alive
+      ? !!python/object/apply:multidict._multidict.istr
+      - Content-Length
+      : - '0'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Content-Type
+      : - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: GET
+    uri: https://api.datadoghq.com/api/unstable/llm-obs/v1/datasets/0bb93ae7-43c4-48ff-91e4-d2817fee85fe/records?filter%5Bversion%5D=420
+  response:
+    body:
+      string: '{"errors":[{"title":"Generic Error","detail":"invalid version: version
+        is greater than the current version or negative"}]}'
+    headers:
+      content-length:
+      - '122'
+      content-security-policy:
+      - frame-ancestors 'self'; report-uri https://logs.browser-intake-datadoghq.com/api/v2/logs?dd-api-key=pube4f163c23bbf91c16b8f57f56af9fc58&dd-evp-origin=content-security-policy&ddsource=csp-report&ddtags=site%3Adatadoghq.com
+      content-type:
+      - application/vnd.api+json
+      date:
+      - Tue, 21 Oct 2025 18:26:27 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+    status:
+      code: 400
+      message: Bad Request
+version: 1

tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_batch_update_post_0226e07c.yaml

@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: '{"data": {"type": "datasets", "id": "4607e918-094d-4aa9-8b7a-50fa63a95b56",
+      "attributes": {"insert_records": [{"input": {"prompt": "What is the capital
+      of France?"}, "expected_output": {"answer": "Paris"}, "metadata": null}], "update_records":
+      [], "delete_records": []}}}'
+    headers:
+      Accept:
+      - '*/*'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Accept-Encoding
+      : - identity
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '271'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Content-Type
+      : - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: https://api.datadoghq.com/api/unstable/llm-obs/v1/datasets/4607e918-094d-4aa9-8b7a-50fa63a95b56/batch_update
+  response:
+    body:
+      string: '{"data":[{"id":"93328f7a-bfd2-4672-8b94-76b0698cd754","type":"datasets","attributes":{"author":{"id":"de473b30-eb9f-11e9-a77a-c7405862b8bd"},"created_at":"2025-10-21T18:25:23.855004356Z","dataset_id":"4607e918-094d-4aa9-8b7a-50fa63a95b56","expected_output":{"answer":"Paris"},"input":{"prompt":"What
+        is the capital of France?"},"updated_at":"2025-10-21T18:25:23.855004356Z","version":1}}]}'
+    headers:
+      content-length:
+      - '389'
+      content-security-policy:
+      - frame-ancestors 'self'; report-uri https://logs.browser-intake-datadoghq.com/api/v2/logs?dd-api-key=pube4f163c23bbf91c16b8f57f56af9fc58&dd-evp-origin=content-security-policy&ddsource=csp-report&ddtags=site%3Adatadoghq.com
+      content-type:
+      - application/vnd.api+json
+      date:
+      - Tue, 21 Oct 2025 18:25:23 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+    status:
+      code: 200
+      message: OK
+version: 1

tests/llmobs/llmobs_cassettes/datadog/datadog_api_unstable_llm-obs_v1_datasets_4607e918-094d-4aa9-8b7a-50fa63a95b56_batch_update_post_b64aaeeb.yaml

@@ -0,0 +1,48 @@
+interactions:
+- request:
+    body: '{"data": {"type": "datasets", "id": "4607e918-094d-4aa9-8b7a-50fa63a95b56",
+      "attributes": {"insert_records": [{"input": {"prompt": "What is the capital
+      of China?"}, "expected_output": {"answer": "Beijing"}, "metadata": null}], "update_records":
+      [], "delete_records": []}}}'
+    headers:
+      Accept:
+      - '*/*'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Accept-Encoding
+      : - identity
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '272'
+      ? !!python/object/apply:multidict._multidict.istr
+      - Content-Type
+      : - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: https://api.datadoghq.com/api/unstable/llm-obs/v1/datasets/4607e918-094d-4aa9-8b7a-50fa63a95b56/batch_update
+  response:
+    body:
+      string: '{"data":[{"id":"5bbd89ec-4eba-4f41-bd47-2a23a005a20a","type":"datasets","attributes":{"author":{"id":"de473b30-eb9f-11e9-a77a-c7405862b8bd"},"created_at":"2025-10-21T18:25:26.024986597Z","dataset_id":"4607e918-094d-4aa9-8b7a-50fa63a95b56","expected_output":{"answer":"Beijing"},"input":{"prompt":"What
+        is the capital of China?"},"updated_at":"2025-10-21T18:25:26.024986597Z","version":2}}]}'
+    headers:
+      content-length:
+      - '390'
+      content-security-policy:
+      - frame-ancestors 'self'; report-uri https://logs.browser-intake-datadoghq.com/api/v2/logs?dd-api-key=pube4f163c23bbf91c16b8f57f56af9fc58&dd-evp-origin=content-security-policy&ddsource=csp-report&ddtags=site%3Adatadoghq.com
+      content-type:
+      - application/vnd.api+json
+      date:
+      - Tue, 21 Oct 2025 18:25:26 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      vary:
+      - Accept-Encoding
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+    status:
+      code: 200
+      message: OK
+version: 1