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Merge pull request #6 from Not-Diamond/release-please--branches--main--changes--next
release: 1.0.0-rc2
2 parents 13549d3 + b8756ef commit 4cc92d0

18 files changed

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‎.release-please-manifest.json‎

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{
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".": "1.0.0-rc1"
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".": "1.0.0-rc2"
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}

‎.stats.yml‎

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configured_endpoints: 17
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/not-diamond-dragos199993%2Fnot-diamond-76d84ad8b4d68f7470a24f0f938d10318ecc1f16b86ca654c1644065c13e413a.yml
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openapi_spec_hash: 92030c9eb965278da586919e9c7375b3
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/not-diamond-dragos199993%2Fnot-diamond-8bcbee982c8824ec1768e681aafe64151b8c1790fda874599f7818c8e067099b.yml
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openapi_spec_hash: cf30014285209649e86e504008efb7d1
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config_hash: ebc053f864d961cd31bf34d651c7c04d

‎CHANGELOG.md‎

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# Changelog
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## 1.0.0-rc2 (2025-10-31)
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Full Changelog: [v1.0.0-rc1...v1.0.0-rc2](https://github.com/Not-Diamond/not-diamond-python/compare/v1.0.0-rc1...v1.0.0-rc2)
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### Features
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* **api:** api update ([f4f83bd](https://github.com/Not-Diamond/not-diamond-python/commit/f4f83bd926d4296f883f5db75de90a5db275867a))
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## 1.0.0-rc1 (2025-10-31)
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Full Changelog: [v0.3.0...v1.0.0-rc1](https://github.com/Not-Diamond/not-diamond-python/compare/v0.3.0...v1.0.0-rc1)

‎README.md‎

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@@ -41,7 +41,7 @@ response = client.routing.select_model(
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
@@ -92,7 +92,7 @@ async def main() -> None:
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
@@ -195,14 +195,10 @@ client = NotDiamond()
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response = client.prompt_adaptation.adapt(
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fields=["question"],
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origin_model={
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"model": "gpt-4o",
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"provider": "openai",
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},
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system_prompt="You are a helpful assistant that answers questions accurately.",
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target_models=[
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
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},
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],
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template="Question: {question}\nAnswer:",
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origin_model={
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"model": "gpt-4o",
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"provider": "openai",
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},
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)
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print(response.origin_model)
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```
@@ -261,7 +261,7 @@ try:
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{
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"model": "gpt-4o",
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"provider": "openai",
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}, {
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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}, {
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"model": "gemini-1.5-pro",
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"provider": "openai",
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},
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{
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"model": "claude-3-5-sonnet-20241022",
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"model": "claude-sonnet-4-5-20250929",
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"provider": "anthropic",
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},
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{

‎pyproject.toml‎

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[project]
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name = "notdiamond"
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version = "1.0.0-rc1"
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version = "1.0.0-rc2"
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description = "The official Python library for the not-diamond API"
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dynamic = ["readme"]
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license = "Apache-2.0"

‎src/not_diamond/_version.py‎

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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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__title__ = "not_diamond"
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__version__ = "1.0.0-rc1" # x-release-please-version
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__version__ = "1.0.0-rc2" # x-release-please-version

‎src/not_diamond/resources/prompt_adaptation.py‎

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@@ -51,13 +51,13 @@ def adapt(
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self,
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*,
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fields: SequenceNotStr[str],
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origin_model: prompt_adaptation_adapt_params.OriginModel,
5554
system_prompt: str,
5655
target_models: Iterable[prompt_adaptation_adapt_params.TargetModel],
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template: str,
5857
evaluation_config: Optional[str] | Omit = omit,
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evaluation_metric: Optional[str] | Omit = omit,
6059
goldens: Optional[Iterable[prompt_adaptation_adapt_params.Golden]] | Omit = omit,
60+
origin_model: Optional[prompt_adaptation_adapt_params.OriginModel] | Omit = omit,
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origin_model_evaluation_score: Optional[float] | Omit = omit,
6262
test_goldens: Optional[Iterable[prompt_adaptation_adapt_params.TestGolden]] | Omit = omit,
6363
train_goldens: Optional[Iterable[prompt_adaptation_adapt_params.TrainGolden]] | Omit = omit,
@@ -137,8 +137,6 @@ def adapt(
137137
fields: List of field names that will be substituted into the template. Must match keys
138138
in golden records
139139
140-
origin_model: The model your current prompt is optimized for
141-
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system_prompt: System prompt to use with the origin model. This sets the context and role for
143141
the LLM
144142
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151149
goldens: Training examples (legacy parameter). Use train_goldens and test_goldens for
152150
better control
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152+
origin_model: Model for specifying an LLM provider in API requests.
153+
154154
origin_model_evaluation_score: Optional baseline score for the origin model
155155
156156
test_goldens: Test examples for evaluation. Required if train_goldens is provided
@@ -170,13 +170,13 @@ def adapt(
170170
body=maybe_transform(
171171
{
172172
"fields": fields,
173-
"origin_model": origin_model,
174173
"system_prompt": system_prompt,
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"target_models": target_models,
176175
"template": template,
177176
"evaluation_config": evaluation_config,
178177
"evaluation_metric": evaluation_metric,
179178
"goldens": goldens,
179+
"origin_model": origin_model,
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"origin_model_evaluation_score": origin_model_evaluation_score,
181181
"test_goldens": test_goldens,
182182
"train_goldens": train_goldens,
@@ -470,13 +470,13 @@ async def adapt(
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self,
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*,
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fields: SequenceNotStr[str],
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origin_model: prompt_adaptation_adapt_params.OriginModel,
474473
system_prompt: str,
475474
target_models: Iterable[prompt_adaptation_adapt_params.TargetModel],
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template: str,
477476
evaluation_config: Optional[str] | Omit = omit,
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evaluation_metric: Optional[str] | Omit = omit,
479478
goldens: Optional[Iterable[prompt_adaptation_adapt_params.Golden]] | Omit = omit,
479+
origin_model: Optional[prompt_adaptation_adapt_params.OriginModel] | Omit = omit,
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origin_model_evaluation_score: Optional[float] | Omit = omit,
481481
test_goldens: Optional[Iterable[prompt_adaptation_adapt_params.TestGolden]] | Omit = omit,
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train_goldens: Optional[Iterable[prompt_adaptation_adapt_params.TrainGolden]] | Omit = omit,
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fields: List of field names that will be substituted into the template. Must match keys
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in golden records
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origin_model: The model your current prompt is optimized for
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system_prompt: System prompt to use with the origin model. This sets the context and role for
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the LLM
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goldens: Training examples (legacy parameter). Use train_goldens and test_goldens for
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better control
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origin_model: Model for specifying an LLM provider in API requests.
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origin_model_evaluation_score: Optional baseline score for the origin model
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test_goldens: Test examples for evaluation. Required if train_goldens is provided
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589589
body=await async_maybe_transform(
590590
{
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"fields": fields,
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"origin_model": origin_model,
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"system_prompt": system_prompt,
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"target_models": target_models,
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"template": template,
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"evaluation_config": evaluation_config,
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"evaluation_metric": evaluation_metric,
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"goldens": goldens,
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"origin_model": origin_model,
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"origin_model_evaluation_score": origin_model_evaluation_score,
600600
"test_goldens": test_goldens,
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"train_goldens": train_goldens,

‎src/not_diamond/resources/routing.py‎

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**Example CSV structure:**
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```
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prompt,openai/gpt-4o/score,openai/gpt-4o/response,anthropic/claude-3-5-sonnet-20241022/score,anthropic/claude-3-5-sonnet-20241022/response
272+
prompt,openai/gpt-4o/score,openai/gpt-4o/response,anthropic/claude-sonnet-4-5-20250929/score,anthropic/claude-sonnet-4-5-20250929/response
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"Explain quantum computing",0.95,"Quantum computing uses...",0.87,"Quantum computers leverage..."
274274
"Write a Python function",0.82,"def my_function()...",0.91,"Here's a Python function..."
275275
```
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308308
llm_providers:
309309
JSON string array of LLM providers to train the router on. Format:
310310
'[{"provider": "openai", "model": "gpt-4o"}, {"provider": "anthropic", "model":
311-
"claude-3-5-sonnet-20241022"}]'
311+
"claude-sonnet-4-5-20250929"}]'
312312
313313
maximize: Whether higher scores are better. Set to true if higher scores indicate better
314314
performance, false otherwise
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598598
**Example CSV structure:**
599599
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```
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prompt,openai/gpt-4o/score,openai/gpt-4o/response,anthropic/claude-3-5-sonnet-20241022/score,anthropic/claude-3-5-sonnet-20241022/response
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prompt,openai/gpt-4o/score,openai/gpt-4o/response,anthropic/claude-sonnet-4-5-20250929/score,anthropic/claude-sonnet-4-5-20250929/response
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"Explain quantum computing",0.95,"Quantum computing uses...",0.87,"Quantum computers leverage..."
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"Write a Python function",0.82,"def my_function()...",0.91,"Here's a Python function..."
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```
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637637
llm_providers:
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JSON string array of LLM providers to train the router on. Format:
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'[{"provider": "openai", "model": "gpt-4o"}, {"provider": "anthropic", "model":
640-
"claude-3-5-sonnet-20241022"}]'
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"claude-sonnet-4-5-20250929"}]'
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maximize: Whether higher scores are better. Set to true if higher scores indicate better
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performance, false otherwise

‎src/not_diamond/types/adaptation_run_results.py‎

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from .._models import BaseModel
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from .job_status import JobStatus
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__all__ = ["AdaptationRunResults", "OriginModel", "TargetModel"]
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class OriginModel(BaseModel):
15-
cost: Optional[float] = None
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evals: Optional[Dict[str, object]] = None
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api_model_name: str = FieldInfo(alias="model_name")
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result_status: Optional[JobStatus] = None
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score: Optional[float] = None
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system_prompt: Optional[str] = None
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user_message_template: Optional[str] = None
11+
__all__ = ["AdaptationRunResults", "TargetModel", "OriginModel"]
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3014
class TargetModel(BaseModel):
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4630
system_prompt: Optional[str] = None
4731
"""Optimized system prompt for this target model"""
4832

33+
task_type: Optional[str] = None
34+
4935
user_message_template: Optional[str] = None
5036
"""Optimized user message template for this target model"""
5137

5238
user_message_template_fields: Optional[List[str]] = None
5339
"""Field names used in the optimized template"""
5440

5541

42+
class OriginModel(BaseModel):
43+
cost: Optional[float] = None
44+
45+
evals: Optional[Dict[str, object]] = None
46+
47+
api_model_name: Optional[str] = FieldInfo(alias="model_name", default=None)
48+
49+
result_status: Optional[JobStatus] = None
50+
51+
score: Optional[float] = None
52+
53+
system_prompt: Optional[str] = None
54+
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user_message_template: Optional[str] = None
56+
57+
5658
class AdaptationRunResults(BaseModel):
5759
id: str
5860
"""Unique ID for this adaptation run"""
@@ -63,9 +65,6 @@ class AdaptationRunResults(BaseModel):
6365
job_status: JobStatus
6466
"""Overall status of the adaptation run"""
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66-
origin_model: OriginModel
67-
"""Results for the origin model (baseline performance)"""
68-
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target_models: List[TargetModel]
7069
"""Results for each target model with optimized prompts"""
7170

@@ -75,3 +74,9 @@ class AdaptationRunResults(BaseModel):
7574
evaluation_config: Optional[str] = None
7675

7776
evaluation_metric: Optional[str] = None
77+
78+
llm_request_metrics: Optional[Dict[str, float]] = None
79+
"""Metrics for the LLM requests made during the adaptation run"""
80+
81+
origin_model: Optional[OriginModel] = None
82+
"""Results for the origin model (baseline performance)"""

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