mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-07-29 11:23:49 +08:00
chore: 🐝 Update SDK - Generate (spec change merged) 0.11.20 (#428)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
This commit is contained in:
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|
||||
"500":
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application/json: {"error": {"code": 500, "message": "Internal Server Error"}}
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examplesVersion: 1.0.2
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||||
releaseNotes: "## Python SDK Changes:\n* `open_router.beta.responses.send()`: \n * `request.input.union(Array<>)[]` **Changed**\n* `open_router.presets.create_presets_responses()`: \n * `request.input.union(Array<>)[]` **Changed**\n"
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releaseNotes: |
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## Python SDK Changes:
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* `open_router.beta.analytics.query_analytics()`: `request` **Changed**
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+1
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@@ -36,7 +36,7 @@ generation:
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documentation: mintlify
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preApplyUnionDiscriminators: true
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python:
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version: 0.11.19
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version: 0.11.20
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additionalDependencies:
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dev: {}
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main: {}
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@@ -23893,6 +23893,78 @@ paths:
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start: '2025-01-01T00:00:00Z'
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schema:
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properties:
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classifier_dimensions:
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description: >-
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Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace.
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properties:
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classifier_id:
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description: UUID of the classifier whose tags to group by.
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example: 550e8400-e29b-41d4-a716-446655440000
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format: uuid
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type: string
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dimension_names:
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items:
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description: >-
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Classifier dimension name (snake_case identifier). When exactly one name is provided, the response uses it as the column key; with multiple names or none, the response uses `clf_dimension_name`/`clf_dimension_value` columns.
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example: department
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type: string
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maxItems: 10
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type: array
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include_nulls:
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description: >-
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When true, also include generations that have no tag from this classifier. Defaults to false, which returns only classified generations.
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type: boolean
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required:
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- classifier_id
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type: object
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classifier_filters:
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description: >-
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Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions.
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properties:
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classifier_id:
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description: >-
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UUID of the classifier whose tags to filter by. Must match classifier_dimensions.classifier_id when both are specified.
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example: 550e8400-e29b-41d4-a716-446655440000
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format: uuid
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type: string
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filters:
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items:
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properties:
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field:
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description: >-
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Classifier dimension name to filter on (snake_case identifier, e.g. "department", "work_type").
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example: department
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type: string
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operator:
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description: >-
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Filter operator. Only equality/set operators are supported (eq, neq, in, not_in) — ordered comparisons are not available because classification values are strings.
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example: eq
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type: string
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value:
|
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anyOf:
|
||||
- type: string
|
||||
- format: double
|
||||
type: number
|
||||
- items:
|
||||
anyOf:
|
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- type: string
|
||||
- format: double
|
||||
type: number
|
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type: array
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description: Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in.
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example: Engineering
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required:
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- field
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- operator
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- value
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type: object
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maxItems: 10
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minItems: 1
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type: array
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required:
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- classifier_id
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- filters
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type: object
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dimensions:
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items:
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description: Dimension to group by (up to 2). Use the /meta endpoint for available dimensions.
|
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@@ -2,8 +2,8 @@ speakeasyVersion: 1.787.0
|
||||
sources:
|
||||
OpenRouter API:
|
||||
sourceNamespace: open-router-chat-completions-api
|
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sourceRevisionDigest: sha256:046e876891ba57af72f3f26e8394a517ea258cecf8c2d8f885357e7796516f2d
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tags:
|
||||
- latest
|
||||
- 1.0.0
|
||||
@@ -11,10 +11,10 @@ targets:
|
||||
open-router:
|
||||
source: OpenRouter API
|
||||
sourceNamespace: open-router-chat-completions-api
|
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sourceRevisionDigest: sha256:046e876891ba57af72f3f26e8394a517ea258cecf8c2d8f885357e7796516f2d
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sourceBlobDigest: sha256:639b41e906b5ebc304974d4516f56048e8243c71765c59435484287dad1a05ac
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codeSamplesNamespace: open-router-python-code-samples
|
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codeSamplesRevisionDigest: sha256:0eccbc2f8f6e176d5a67e24ec42aee8a70ef63fdf3da3c2a2fbb8b78587bfd8b
|
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codeSamplesRevisionDigest: sha256:a012a1304c56f93a4aeaea74f847db642667113fb8489a88981091d34fc6e4ab
|
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workflow:
|
||||
workflowVersion: 1.0.0
|
||||
speakeasyVersion: 1.787.0
|
||||
|
||||
+11
-1
@@ -298,4 +298,14 @@ Based on:
|
||||
### Generated
|
||||
- [python v0.11.19] .
|
||||
### Releases
|
||||
- [PyPI v0.11.19] https://pypi.org/project/openrouter/0.11.19 - .
|
||||
- [PyPI v0.11.19] https://pypi.org/project/openrouter/0.11.19 - .
|
||||
|
||||
## 2026-07-10 20:14:59
|
||||
### Changes
|
||||
Based on:
|
||||
- OpenAPI Doc
|
||||
- Speakeasy CLI 1.787.0 (2.914.0) https://github.com/speakeasy-api/speakeasy
|
||||
### Generated
|
||||
- [python v0.11.20] .
|
||||
### Releases
|
||||
- [PyPI v0.11.20] https://pypi.org/project/openrouter/0.11.20 - .
|
||||
@@ -0,0 +1,14 @@
|
||||
---
|
||||
title: "ClassifierDimensions"
|
||||
---
|
||||
|
||||
Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace.
|
||||
|
||||
|
||||
## Fields
|
||||
|
||||
| Field | Type | Required | Description | Example |
|
||||
| ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `classifier_id` | *str* | :heavy_check_mark: | UUID of the classifier whose tags to group by. | 550e8400-e29b-41d4-a716-446655440000 |
|
||||
| `dimension_names` | List[*str*] | :heavy_minus_sign: | N/A | |
|
||||
| `include_nulls` | *Optional[bool]* | :heavy_minus_sign: | When true, also include generations that have no tag from this classifier. Defaults to false, which returns only classified generations. | |
|
||||
@@ -0,0 +1,13 @@
|
||||
---
|
||||
title: "ClassifierFilters"
|
||||
---
|
||||
|
||||
Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions.
|
||||
|
||||
|
||||
## Fields
|
||||
|
||||
| Field | Type | Required | Description | Example |
|
||||
| ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
|
||||
| `classifier_id` | *str* | :heavy_check_mark: | UUID of the classifier whose tags to filter by. Must match classifier_dimensions.classifier_id when both are specified. | 550e8400-e29b-41d4-a716-446655440000 |
|
||||
| `filters` | List[[operations.ClassifierFiltersFilter](../operations/classifierfiltersfilter.mdx)] | :heavy_check_mark: | N/A | |
|
||||
@@ -0,0 +1,11 @@
|
||||
---
|
||||
title: "ClassifierFiltersFilter"
|
||||
---
|
||||
|
||||
## Fields
|
||||
|
||||
| Field | Type | Required | Description | Example |
|
||||
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `field` | *str* | :heavy_check_mark: | Classifier dimension name to filter on (snake_case identifier, e.g. "department", "work_type"). | department |
|
||||
| `operator` | *str* | :heavy_check_mark: | Filter operator. Only equality/set operators are supported (eq, neq, in, not_in) — ordered comparisons are not available because classification values are strings. | eq |
|
||||
| `value` | [operations.ClassifierFiltersValue](../operations/classifierfiltersvalue.mdx) | :heavy_check_mark: | Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in. | Engineering |
|
||||
@@ -0,0 +1,27 @@
|
||||
---
|
||||
title: "ClassifierFiltersValue"
|
||||
---
|
||||
|
||||
Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in.
|
||||
|
||||
|
||||
## Supported Types
|
||||
|
||||
### `str`
|
||||
|
||||
```python
|
||||
value: str = /* values here */
|
||||
```
|
||||
|
||||
### `float`
|
||||
|
||||
```python
|
||||
value: float = /* values here */
|
||||
```
|
||||
|
||||
### `List[operations.ValueClassifierFilters]`
|
||||
|
||||
```python
|
||||
value: List[operations.ValueClassifierFilters] = /* values here */
|
||||
```
|
||||
|
||||
@@ -6,6 +6,8 @@ title: "QueryAnalyticsRequestBody"
|
||||
|
||||
| Field | Type | Required | Description | Example |
|
||||
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| `classifier_dimensions` | [Optional[operations.ClassifierDimensions]](../operations/classifierdimensions.mdx) | :heavy_minus_sign: | Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace. | |
|
||||
| `classifier_filters` | [Optional[operations.ClassifierFilters]](../operations/classifierfilters.mdx) | :heavy_minus_sign: | Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions. | |
|
||||
| `dimensions` | List[*str*] | :heavy_minus_sign: | N/A | |
|
||||
| `filters` | List[[operations.Filter](../operations/filter_.mdx)] | :heavy_minus_sign: | N/A | |
|
||||
| `granularity` | *Optional[str]* | :heavy_minus_sign: | Time granularity | day |
|
||||
|
||||
@@ -0,0 +1,18 @@
|
||||
---
|
||||
title: "ValueClassifierFilters"
|
||||
---
|
||||
|
||||
## Supported Types
|
||||
|
||||
### `str`
|
||||
|
||||
```python
|
||||
value: str = /* values here */
|
||||
```
|
||||
|
||||
### `float`
|
||||
|
||||
```python
|
||||
value: float = /* values here */
|
||||
```
|
||||
|
||||
@@ -100,6 +100,8 @@ with OpenRouter(
|
||||
| `http_referer` | *Optional[str]* | :heavy_minus_sign: | The app identifier should be your app's URL and is used as the primary identifier for rankings.<br/>This is used to track API usage per application.<br/> | |
|
||||
| `x_open_router_title` | *Optional[str]* | :heavy_minus_sign: | The app display name allows you to customize how your app appears in OpenRouter's dashboard.<br/> | |
|
||||
| `x_open_router_categories` | *Optional[str]* | :heavy_minus_sign: | Comma-separated list of app categories (e.g. "cli-agent,cloud-agent"). Used for marketplace rankings.<br/> | |
|
||||
| `classifier_dimensions` | [Optional[operations.ClassifierDimensions]](../../operations/classifierdimensions.mdx) | :heavy_minus_sign: | Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace. | |
|
||||
| `classifier_filters` | [Optional[operations.ClassifierFilters]](../../operations/classifierfilters.mdx) | :heavy_minus_sign: | Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions. | |
|
||||
| `dimensions` | List[*str*] | :heavy_minus_sign: | N/A | |
|
||||
| `filters` | List[[operations.Filter](../../operations/filter_.mdx)] | :heavy_minus_sign: | N/A | |
|
||||
| `granularity` | *Optional[str]* | :heavy_minus_sign: | Time granularity | day |
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "openrouter"
|
||||
version = "0.11.19"
|
||||
version = "0.11.20"
|
||||
description = "Official Python Client SDK for OpenRouter."
|
||||
authors = [{ name = "OpenRouter" },]
|
||||
readme = "README-PYPI.md"
|
||||
|
||||
@@ -3,10 +3,10 @@
|
||||
import importlib.metadata
|
||||
|
||||
__title__: str = "openrouter"
|
||||
__version__: str = "0.11.19"
|
||||
__version__: str = "0.11.20"
|
||||
__openapi_doc_version__: str = "1.0.0"
|
||||
__gen_version__: str = "2.914.0"
|
||||
__user_agent__: str = "speakeasy-sdk/python 0.11.19 2.914.0 1.0.0 openrouter"
|
||||
__user_agent__: str = "speakeasy-sdk/python 0.11.20 2.914.0 1.0.0 openrouter"
|
||||
|
||||
try:
|
||||
if __package__ is not None:
|
||||
|
||||
@@ -273,6 +273,15 @@ class BetaAnalytics(BaseSDK):
|
||||
http_referer: Optional[str] = None,
|
||||
x_open_router_title: Optional[str] = None,
|
||||
x_open_router_categories: Optional[str] = None,
|
||||
classifier_dimensions: Optional[
|
||||
Union[
|
||||
operations.ClassifierDimensions,
|
||||
operations.ClassifierDimensionsTypedDict,
|
||||
]
|
||||
] = None,
|
||||
classifier_filters: Optional[
|
||||
Union[operations.ClassifierFilters, operations.ClassifierFiltersTypedDict]
|
||||
] = None,
|
||||
dimensions: Optional[Iterable[str]] = None,
|
||||
filters: Optional[
|
||||
Union[Iterable[operations.Filter], Iterable[operations.FilterTypedDict]]
|
||||
@@ -303,6 +312,8 @@ class BetaAnalytics(BaseSDK):
|
||||
|
||||
:param x_open_router_categories: Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
|
||||
|
||||
:param classifier_dimensions: Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace.
|
||||
:param classifier_filters: Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions.
|
||||
:param dimensions:
|
||||
:param filters:
|
||||
:param granularity: Time granularity
|
||||
@@ -330,6 +341,12 @@ class BetaAnalytics(BaseSDK):
|
||||
x_open_router_title=x_open_router_title,
|
||||
x_open_router_categories=x_open_router_categories,
|
||||
request_body=operations.QueryAnalyticsRequestBody(
|
||||
classifier_dimensions=utils.get_pydantic_model(
|
||||
classifier_dimensions, Optional[operations.ClassifierDimensions]
|
||||
),
|
||||
classifier_filters=utils.get_pydantic_model(
|
||||
classifier_filters, Optional[operations.ClassifierFilters]
|
||||
),
|
||||
dimensions=utils.unmarshal(dimensions, Optional[List[str]]),
|
||||
filters=utils.get_pydantic_model(
|
||||
filters, Optional[List[operations.Filter]]
|
||||
@@ -453,6 +470,15 @@ class BetaAnalytics(BaseSDK):
|
||||
http_referer: Optional[str] = None,
|
||||
x_open_router_title: Optional[str] = None,
|
||||
x_open_router_categories: Optional[str] = None,
|
||||
classifier_dimensions: Optional[
|
||||
Union[
|
||||
operations.ClassifierDimensions,
|
||||
operations.ClassifierDimensionsTypedDict,
|
||||
]
|
||||
] = None,
|
||||
classifier_filters: Optional[
|
||||
Union[operations.ClassifierFilters, operations.ClassifierFiltersTypedDict]
|
||||
] = None,
|
||||
dimensions: Optional[Iterable[str]] = None,
|
||||
filters: Optional[
|
||||
Union[Iterable[operations.Filter], Iterable[operations.FilterTypedDict]]
|
||||
@@ -483,6 +509,8 @@ class BetaAnalytics(BaseSDK):
|
||||
|
||||
:param x_open_router_categories: Comma-separated list of app categories (e.g. \"cli-agent,cloud-agent\"). Used for marketplace rankings.
|
||||
|
||||
:param classifier_dimensions: Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace.
|
||||
:param classifier_filters: Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions.
|
||||
:param dimensions:
|
||||
:param filters:
|
||||
:param granularity: Time granularity
|
||||
@@ -510,6 +538,12 @@ class BetaAnalytics(BaseSDK):
|
||||
x_open_router_title=x_open_router_title,
|
||||
x_open_router_categories=x_open_router_categories,
|
||||
request_body=operations.QueryAnalyticsRequestBody(
|
||||
classifier_dimensions=utils.get_pydantic_model(
|
||||
classifier_dimensions, Optional[operations.ClassifierDimensions]
|
||||
),
|
||||
classifier_filters=utils.get_pydantic_model(
|
||||
classifier_filters, Optional[operations.ClassifierFilters]
|
||||
),
|
||||
dimensions=utils.unmarshal(dimensions, Optional[List[str]]),
|
||||
filters=utils.get_pydantic_model(
|
||||
filters, Optional[List[operations.Filter]]
|
||||
|
||||
@@ -652,6 +652,14 @@ if TYPE_CHECKING:
|
||||
ListWorkspacesResponseTypedDict,
|
||||
)
|
||||
from .queryanalytics import (
|
||||
ClassifierDimensions,
|
||||
ClassifierDimensionsTypedDict,
|
||||
ClassifierFilters,
|
||||
ClassifierFiltersFilter,
|
||||
ClassifierFiltersFilterTypedDict,
|
||||
ClassifierFiltersTypedDict,
|
||||
ClassifierFiltersValue,
|
||||
ClassifierFiltersValueTypedDict,
|
||||
Direction,
|
||||
Filter,
|
||||
FilterTypedDict,
|
||||
@@ -677,6 +685,8 @@ if TYPE_CHECKING:
|
||||
Value1TypedDict,
|
||||
Value2,
|
||||
Value2TypedDict,
|
||||
ValueClassifierFilters,
|
||||
ValueClassifierFiltersTypedDict,
|
||||
)
|
||||
from .sendchatcompletionrequest import (
|
||||
SendChatCompletionRequestGlobals,
|
||||
@@ -772,6 +782,14 @@ __all__ = [
|
||||
"BulkUnassignMembersFromGuardrailGlobalsTypedDict",
|
||||
"BulkUnassignMembersFromGuardrailRequest",
|
||||
"BulkUnassignMembersFromGuardrailRequestTypedDict",
|
||||
"ClassifierDimensions",
|
||||
"ClassifierDimensionsTypedDict",
|
||||
"ClassifierFilters",
|
||||
"ClassifierFiltersFilter",
|
||||
"ClassifierFiltersFilterTypedDict",
|
||||
"ClassifierFiltersTypedDict",
|
||||
"ClassifierFiltersValue",
|
||||
"ClassifierFiltersValueTypedDict",
|
||||
"Content",
|
||||
"ContentImageURL",
|
||||
"ContentImageURLTypedDict",
|
||||
@@ -1308,6 +1326,8 @@ __all__ = [
|
||||
"Value1TypedDict",
|
||||
"Value2",
|
||||
"Value2TypedDict",
|
||||
"ValueClassifierFilters",
|
||||
"ValueClassifierFiltersTypedDict",
|
||||
"ValueType",
|
||||
"Window",
|
||||
"Zdr",
|
||||
@@ -1804,6 +1824,14 @@ _dynamic_imports: dict[str, str] = {
|
||||
"ListWorkspacesRequestTypedDict": ".listworkspaces",
|
||||
"ListWorkspacesResponse": ".listworkspaces",
|
||||
"ListWorkspacesResponseTypedDict": ".listworkspaces",
|
||||
"ClassifierDimensions": ".queryanalytics",
|
||||
"ClassifierDimensionsTypedDict": ".queryanalytics",
|
||||
"ClassifierFilters": ".queryanalytics",
|
||||
"ClassifierFiltersFilter": ".queryanalytics",
|
||||
"ClassifierFiltersFilterTypedDict": ".queryanalytics",
|
||||
"ClassifierFiltersTypedDict": ".queryanalytics",
|
||||
"ClassifierFiltersValue": ".queryanalytics",
|
||||
"ClassifierFiltersValueTypedDict": ".queryanalytics",
|
||||
"Direction": ".queryanalytics",
|
||||
"Filter": ".queryanalytics",
|
||||
"FilterTypedDict": ".queryanalytics",
|
||||
@@ -1829,6 +1857,8 @@ _dynamic_imports: dict[str, str] = {
|
||||
"Value1TypedDict": ".queryanalytics",
|
||||
"Value2": ".queryanalytics",
|
||||
"Value2TypedDict": ".queryanalytics",
|
||||
"ValueClassifierFilters": ".queryanalytics",
|
||||
"ValueClassifierFiltersTypedDict": ".queryanalytics",
|
||||
"SendChatCompletionRequestGlobals": ".sendchatcompletionrequest",
|
||||
"SendChatCompletionRequestGlobalsTypedDict": ".sendchatcompletionrequest",
|
||||
"SendChatCompletionRequestRequest": ".sendchatcompletionrequest",
|
||||
|
||||
@@ -74,6 +74,102 @@ class QueryAnalyticsGlobals(BaseModel):
|
||||
return m
|
||||
|
||||
|
||||
class ClassifierDimensionsTypedDict(TypedDict):
|
||||
r"""Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace."""
|
||||
|
||||
classifier_id: str
|
||||
r"""UUID of the classifier whose tags to group by."""
|
||||
dimension_names: NotRequired[List[str]]
|
||||
include_nulls: NotRequired[bool]
|
||||
r"""When true, also include generations that have no tag from this classifier. Defaults to false, which returns only classified generations."""
|
||||
|
||||
|
||||
class ClassifierDimensions(BaseModel):
|
||||
r"""Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace."""
|
||||
|
||||
classifier_id: str
|
||||
r"""UUID of the classifier whose tags to group by."""
|
||||
|
||||
dimension_names: Optional[List[str]] = None
|
||||
|
||||
include_nulls: Optional[bool] = None
|
||||
r"""When true, also include generations that have no tag from this classifier. Defaults to false, which returns only classified generations."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = set(["dimension_names", "include_nulls"])
|
||||
serialized = handler(self)
|
||||
m = {}
|
||||
|
||||
for n, f in type(self).model_fields.items():
|
||||
k = f.alias or n
|
||||
val = serialized.get(k, serialized.get(n))
|
||||
|
||||
if val != UNSET_SENTINEL:
|
||||
if val is not None or k not in optional_fields:
|
||||
m[k] = val
|
||||
|
||||
return m
|
||||
|
||||
|
||||
ValueClassifierFiltersTypedDict = TypeAliasType(
|
||||
"ValueClassifierFiltersTypedDict", Union[str, float]
|
||||
)
|
||||
|
||||
|
||||
ValueClassifierFilters = TypeAliasType("ValueClassifierFilters", Union[str, float])
|
||||
|
||||
|
||||
ClassifierFiltersValueTypedDict = TypeAliasType(
|
||||
"ClassifierFiltersValueTypedDict",
|
||||
Union[str, float, List[ValueClassifierFiltersTypedDict]],
|
||||
)
|
||||
r"""Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in."""
|
||||
|
||||
|
||||
ClassifierFiltersValue = TypeAliasType(
|
||||
"ClassifierFiltersValue", Union[str, float, List[ValueClassifierFilters]]
|
||||
)
|
||||
r"""Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in."""
|
||||
|
||||
|
||||
class ClassifierFiltersFilterTypedDict(TypedDict):
|
||||
field: str
|
||||
r"""Classifier dimension name to filter on (snake_case identifier, e.g. \"department\", \"work_type\")."""
|
||||
operator: str
|
||||
r"""Filter operator. Only equality/set operators are supported (eq, neq, in, not_in) — ordered comparisons are not available because classification values are strings."""
|
||||
value: ClassifierFiltersValueTypedDict
|
||||
r"""Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in."""
|
||||
|
||||
|
||||
class ClassifierFiltersFilter(BaseModel):
|
||||
field: str
|
||||
r"""Classifier dimension name to filter on (snake_case identifier, e.g. \"department\", \"work_type\")."""
|
||||
|
||||
operator: str
|
||||
r"""Filter operator. Only equality/set operators are supported (eq, neq, in, not_in) — ordered comparisons are not available because classification values are strings."""
|
||||
|
||||
value: ClassifierFiltersValue
|
||||
r"""Filter value. Use a scalar (string or number) for eq/neq, or an array for in/not_in."""
|
||||
|
||||
|
||||
class ClassifierFiltersTypedDict(TypedDict):
|
||||
r"""Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions."""
|
||||
|
||||
classifier_id: str
|
||||
r"""UUID of the classifier whose tags to filter by. Must match classifier_dimensions.classifier_id when both are specified."""
|
||||
filters: List[ClassifierFiltersFilterTypedDict]
|
||||
|
||||
|
||||
class ClassifierFilters(BaseModel):
|
||||
r"""Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions."""
|
||||
|
||||
classifier_id: str
|
||||
r"""UUID of the classifier whose tags to filter by. Must match classifier_dimensions.classifier_id when both are specified."""
|
||||
|
||||
filters: List[ClassifierFiltersFilter]
|
||||
|
||||
|
||||
Value2TypedDict = TypeAliasType("Value2TypedDict", Union[str, float])
|
||||
|
||||
|
||||
@@ -145,6 +241,10 @@ class TimeRange(BaseModel):
|
||||
|
||||
class QueryAnalyticsRequestBodyTypedDict(TypedDict):
|
||||
metrics: List[str]
|
||||
classifier_dimensions: NotRequired[ClassifierDimensionsTypedDict]
|
||||
r"""Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace."""
|
||||
classifier_filters: NotRequired[ClassifierFiltersTypedDict]
|
||||
r"""Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions."""
|
||||
dimensions: NotRequired[List[str]]
|
||||
filters: NotRequired[List[FilterTypedDict]]
|
||||
granularity: NotRequired[str]
|
||||
@@ -160,6 +260,12 @@ class QueryAnalyticsRequestBodyTypedDict(TypedDict):
|
||||
class QueryAnalyticsRequestBody(BaseModel):
|
||||
metrics: List[str]
|
||||
|
||||
classifier_dimensions: Optional[ClassifierDimensions] = None
|
||||
r"""Group results by custom classifier tags, breaking down metrics by the specified dimension values. Requires an active classifier on the workspace."""
|
||||
|
||||
classifier_filters: Optional[ClassifierFilters] = None
|
||||
r"""Filter results to generations with specific classifier tag values. Can be combined with classifier_dimensions (must use the same classifier_id) or used independently with standard dimensions."""
|
||||
|
||||
dimensions: Optional[List[str]] = None
|
||||
|
||||
filters: Optional[List[Filter]] = None
|
||||
@@ -181,6 +287,8 @@ class QueryAnalyticsRequestBody(BaseModel):
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = set(
|
||||
[
|
||||
"classifier_dimensions",
|
||||
"classifier_filters",
|
||||
"dimensions",
|
||||
"filters",
|
||||
"granularity",
|
||||
|
||||
Reference in New Issue
Block a user