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merged 2 commits into from
Nov 17, 2025
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release: 0.4.0-alpha.10 #303

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261e364
fix(openapi): restore embedded request wrappers
stainless-app[bot] Nov 17, 2025
fa8bd65
release: 0.4.0-alpha.10
stainless-app[bot] Nov 17, 2025
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2 changes: 1 addition & 1 deletion .release-please-manifest.json
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Original file line number Diff line number Diff line change
@@ -1,3 +1,3 @@
{
".": "0.4.0-alpha.9"
".": "0.4.0-alpha.10"
}
4 changes: 2 additions & 2 deletions .stats.yml
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@@ -1,4 +1,4 @@
configured_endpoints: 103
openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-2b99a80543f8bc8fa164167693c214651ac8e710f4726fb5869183b4d6c71a03.yml
openapi_spec_hash: a5632057f5e4d956a71c20a79c0d879c
openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-aab1b331382f758fc255f765e73b62fedf463cf0748bc11b2b08974de9ac816a.yml
openapi_spec_hash: f717a21f47419aa51e4d9298aa68cc45
config_hash: 0017f6c419cbbf7b949f9b2842917a79
8 changes: 8 additions & 0 deletions CHANGELOG.md
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@@ -1,5 +1,13 @@
# Changelog

## 0.4.0-alpha.10 (2025-11-17)

Full Changelog: [v0.4.0-alpha.9...v0.4.0-alpha.10](https://github.com/llamastack/llama-stack-client-python/compare/v0.4.0-alpha.9...v0.4.0-alpha.10)

### Bug Fixes

* **openapi:** restore embedded request wrappers ([261e364](https://github.com/llamastack/llama-stack-client-python/commit/261e3640c942c60860af08cd4d205d8e402bb702))

## 0.4.0-alpha.9 (2025-11-14)

Full Changelog: [v0.4.0-alpha.8...v0.4.0-alpha.9](https://github.com/llamastack/llama-stack-client-python/compare/v0.4.0-alpha.8...v0.4.0-alpha.9)
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2 changes: 1 addition & 1 deletion pyproject.toml
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@@ -1,6 +1,6 @@
[project]
name = "llama_stack_client"
version = "0.4.0-alpha.9"
version = "0.4.0-alpha.10"
description = "The official Python library for the llama-stack-client API"
dynamic = ["readme"]
license = "MIT"
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82 changes: 14 additions & 68 deletions src/llama_stack_client/resources/alpha/eval/eval.py
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Expand Up @@ -8,7 +8,7 @@

from __future__ import annotations

from typing import Dict, Iterable, Optional
from typing import Dict, Iterable

import httpx

Expand All @@ -20,7 +20,7 @@
JobsResourceWithStreamingResponse,
AsyncJobsResourceWithStreamingResponse,
)
from ...._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
from ...._types import Body, Query, Headers, NotGiven, SequenceNotStr, not_given
from ...._utils import maybe_transform, async_maybe_transform
from ...._compat import cached_property
from ...._resource import SyncAPIResource, AsyncAPIResource
Expand Down Expand Up @@ -164,9 +164,7 @@ def run_eval(
self,
benchmark_id: str,
*,
eval_candidate: eval_run_eval_params.EvalCandidate,
num_examples: Optional[int] | Omit = omit,
scoring_params: Dict[str, eval_run_eval_params.ScoringParams] | Omit = omit,
benchmark_config: BenchmarkConfigParam,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -178,13 +176,7 @@ def run_eval(
Run an evaluation on a benchmark.

Args:
eval_candidate: A model candidate for evaluation.

num_examples: Number of examples to evaluate (useful for testing), if not provided, all
examples in the dataset will be evaluated

scoring_params: Map between scoring function id and parameters for each scoring function you
want to run
benchmark_config: A benchmark configuration for evaluation.

extra_headers: Send extra headers

Expand All @@ -198,14 +190,7 @@ def run_eval(
raise ValueError(f"Expected a non-empty value for `benchmark_id` but received {benchmark_id!r}")
return self._post(
f"/v1alpha/eval/benchmarks/{benchmark_id}/jobs",
body=maybe_transform(
{
"eval_candidate": eval_candidate,
"num_examples": num_examples,
"scoring_params": scoring_params,
},
eval_run_eval_params.EvalRunEvalParams,
),
body=maybe_transform({"benchmark_config": benchmark_config}, eval_run_eval_params.EvalRunEvalParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
Expand All @@ -216,9 +201,7 @@ def run_eval_alpha(
self,
benchmark_id: str,
*,
eval_candidate: eval_run_eval_alpha_params.EvalCandidate,
num_examples: Optional[int] | Omit = omit,
scoring_params: Dict[str, eval_run_eval_alpha_params.ScoringParams] | Omit = omit,
benchmark_config: BenchmarkConfigParam,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -230,13 +213,7 @@ def run_eval_alpha(
Run an evaluation on a benchmark.

Args:
eval_candidate: A model candidate for evaluation.

num_examples: Number of examples to evaluate (useful for testing), if not provided, all
examples in the dataset will be evaluated

scoring_params: Map between scoring function id and parameters for each scoring function you
want to run
benchmark_config: A benchmark configuration for evaluation.

extra_headers: Send extra headers

Expand All @@ -251,12 +228,7 @@ def run_eval_alpha(
return self._post(
f"/v1alpha/eval/benchmarks/{benchmark_id}/jobs",
body=maybe_transform(
{
"eval_candidate": eval_candidate,
"num_examples": num_examples,
"scoring_params": scoring_params,
},
eval_run_eval_alpha_params.EvalRunEvalAlphaParams,
{"benchmark_config": benchmark_config}, eval_run_eval_alpha_params.EvalRunEvalAlphaParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
Expand Down Expand Up @@ -385,9 +357,7 @@ async def run_eval(
self,
benchmark_id: str,
*,
eval_candidate: eval_run_eval_params.EvalCandidate,
num_examples: Optional[int] | Omit = omit,
scoring_params: Dict[str, eval_run_eval_params.ScoringParams] | Omit = omit,
benchmark_config: BenchmarkConfigParam,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -399,13 +369,7 @@ async def run_eval(
Run an evaluation on a benchmark.

Args:
eval_candidate: A model candidate for evaluation.

num_examples: Number of examples to evaluate (useful for testing), if not provided, all
examples in the dataset will be evaluated

scoring_params: Map between scoring function id and parameters for each scoring function you
want to run
benchmark_config: A benchmark configuration for evaluation.

extra_headers: Send extra headers

Expand All @@ -420,12 +384,7 @@ async def run_eval(
return await self._post(
f"/v1alpha/eval/benchmarks/{benchmark_id}/jobs",
body=await async_maybe_transform(
{
"eval_candidate": eval_candidate,
"num_examples": num_examples,
"scoring_params": scoring_params,
},
eval_run_eval_params.EvalRunEvalParams,
{"benchmark_config": benchmark_config}, eval_run_eval_params.EvalRunEvalParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
Expand All @@ -437,9 +396,7 @@ async def run_eval_alpha(
self,
benchmark_id: str,
*,
eval_candidate: eval_run_eval_alpha_params.EvalCandidate,
num_examples: Optional[int] | Omit = omit,
scoring_params: Dict[str, eval_run_eval_alpha_params.ScoringParams] | Omit = omit,
benchmark_config: BenchmarkConfigParam,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -451,13 +408,7 @@ async def run_eval_alpha(
Run an evaluation on a benchmark.

Args:
eval_candidate: A model candidate for evaluation.

num_examples: Number of examples to evaluate (useful for testing), if not provided, all
examples in the dataset will be evaluated

scoring_params: Map between scoring function id and parameters for each scoring function you
want to run
benchmark_config: A benchmark configuration for evaluation.

extra_headers: Send extra headers

Expand All @@ -472,12 +423,7 @@ async def run_eval_alpha(
return await self._post(
f"/v1alpha/eval/benchmarks/{benchmark_id}/jobs",
body=await async_maybe_transform(
{
"eval_candidate": eval_candidate,
"num_examples": num_examples,
"scoring_params": scoring_params,
},
eval_run_eval_alpha_params.EvalRunEvalAlphaParams,
{"benchmark_config": benchmark_config}, eval_run_eval_alpha_params.EvalRunEvalAlphaParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
Expand Down
35 changes: 23 additions & 12 deletions src/llama_stack_client/resources/beta/datasets.py
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Expand Up @@ -10,6 +10,7 @@

import typing_extensions
from typing import Dict, Type, Iterable, Optional, cast
from typing_extensions import Literal

import httpx

Expand Down Expand Up @@ -205,21 +206,26 @@ def iterrows(
def register(
self,
*,
purpose: object,
source: object,
dataset_id: object | Omit = omit,
metadata: object | Omit = omit,
purpose: Literal["post-training/messages", "eval/question-answer", "eval/messages-answer"],
source: dataset_register_params.Source,
dataset_id: Optional[str] | Omit = omit,
metadata: Optional[Dict[str, object]] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = not_given,
) -> DatasetRegisterResponse:
"""
Register a new dataset.
"""Register a new dataset.

Args:
purpose: Purpose of the dataset.

Each purpose has a required input data schema.

source: A dataset that can be obtained from a URI.

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request
Expand Down Expand Up @@ -452,21 +458,26 @@ async def iterrows(
async def register(
self,
*,
purpose: object,
source: object,
dataset_id: object | Omit = omit,
metadata: object | Omit = omit,
purpose: Literal["post-training/messages", "eval/question-answer", "eval/messages-answer"],
source: dataset_register_params.Source,
dataset_id: Optional[str] | Omit = omit,
metadata: Optional[Dict[str, object]] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = not_given,
) -> DatasetRegisterResponse:
"""
Register a new dataset.
"""Register a new dataset.

Args:
purpose: Purpose of the dataset.

Each purpose has a required input data schema.

source: A dataset that can be obtained from a URI.

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request
Expand Down
30 changes: 17 additions & 13 deletions src/llama_stack_client/resources/scoring_functions.py
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Expand Up @@ -9,7 +9,7 @@
from __future__ import annotations

import typing_extensions
from typing import Type, cast
from typing import Type, Optional, cast

import httpx

Expand Down Expand Up @@ -112,12 +112,12 @@ def list(
def register(
self,
*,
description: object,
return_type: object,
scoring_fn_id: object,
params: object | Omit = omit,
provider_id: object | Omit = omit,
provider_scoring_fn_id: object | Omit = omit,
description: str,
return_type: scoring_function_register_params.ReturnType,
scoring_fn_id: str,
params: Optional[scoring_function_register_params.Params] | Omit = omit,
provider_id: Optional[str] | Omit = omit,
provider_scoring_fn_id: Optional[str] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -129,6 +129,8 @@ def register(
Register a scoring function.

Args:
params: Parameters for LLM-as-judge scoring function configuration.

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request
Expand Down Expand Up @@ -273,12 +275,12 @@ async def list(
async def register(
self,
*,
description: object,
return_type: object,
scoring_fn_id: object,
params: object | Omit = omit,
provider_id: object | Omit = omit,
provider_scoring_fn_id: object | Omit = omit,
description: str,
return_type: scoring_function_register_params.ReturnType,
scoring_fn_id: str,
params: Optional[scoring_function_register_params.Params] | Omit = omit,
provider_id: Optional[str] | Omit = omit,
provider_scoring_fn_id: Optional[str] | Omit = omit,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
Expand All @@ -290,6 +292,8 @@ async def register(
Register a scoring function.

Args:
params: Parameters for LLM-as-judge scoring function configuration.

extra_headers: Send extra headers

extra_query: Add additional query parameters to the request
Expand Down
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