Update projects list with notable AI/LLM ecosystem projects

README.md

@@ -243,15 +243,16 @@ These projects use datamodel-code-generator. See the linked examples for real-wo
 - [apache/iceberg](https://github.com/apache/iceberg) - *[Generate Python code](https://github.com/apache/iceberg/blob/d2e1094ee0cc6239d43f63ba5114272f59d605d2/open-api/README.md?plain=1#L39)*
 - [open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) - *[datamodel_generation.py](https://github.com/open-metadata/OpenMetadata/blob/main/scripts/datamodel_generation.py)*
 - [awslabs/aws-lambda-powertools-python](https://github.com/awslabs/aws-lambda-powertools-python) - *[Recommended for advanced-use-cases](https://awslabs.github.io/aws-lambda-powertools-python/2.6.0/utilities/parser/#advanced-use-cases)*
-- [Netflix/consoleme](https://github.com/Netflix/consoleme) - *[Generate models from Swagger](https://github.com/Netflix/consoleme/blob/master/docs/gitbook/faq.md#how-do-i-generate-models-from-the-swagger-specification)*
+- [vllm-project/vllm](https://github.com/vllm-project/vllm) - *[Test dependency for model tests](https://github.com/vllm-project/vllm/blob/main/requirements/test.in)*
+- [stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) - *[Generate Pydantic models from JSON Schema for reliability tests](https://github.com/stanfordnlp/dspy/blob/main/tests/reliability/generate/utils.py)*
+- [topoteretes/cognee](https://github.com/topoteretes/cognee) - *[Runtime generation of graph data models from JSON Schema](https://github.com/topoteretes/cognee/blob/main/cognee/shared/graph_model_utils.py)*
+- [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - *[Generate MCP server TypedDict models via Makefile](https://github.com/e2b-dev/E2B/blob/main/packages/python-sdk/Makefile)*
+- [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) - *[Generate Python client dataclasses from OpenAPI via Makefile](https://github.com/Arize-ai/phoenix/blob/main/Makefile)*
+- [firebase/genkit](https://github.com/firebase/genkit) - *[Generate core typing models from JSON Schema](https://github.com/firebase/genkit/blob/main/py/bin/generate_schema_typing)*
+- [open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) - *[Generate SDK configuration dataclasses from JSON Schema](https://github.com/open-telemetry/opentelemetry-python/blob/main/tox.ini)*
 - [DataDog/integrations-core](https://github.com/DataDog/integrations-core) - *[Config models](https://github.com/DataDog/integrations-core/blob/master/docs/developer/meta/config-models.md)*
 - [argoproj-labs/hera](https://github.com/argoproj-labs/hera) - *[Makefile](https://github.com/argoproj-labs/hera/blob/c8cbf0c7a676de57469ca3d6aeacde7a5e84f8b7/Makefile#L53-L62)*
-- [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer) - *[generate-types.sh](https://github.com/SeldonIO/MLServer/blob/master/hack/generate-types.sh)*
-- [geojupyter/jupytergis](https://github.com/geojupyter/jupytergis) - *[Python type generation from JSONSchema](https://jupytergis.readthedocs.io/en/latest/contributor_guide/explanation/code-generation.html)*
-- [Nike-Inc/brickflow](https://github.com/Nike-Inc/brickflow) - *[Code generate tools](https://github.com/Nike-Inc/brickflow/blob/e3245bf638588867b831820a6675ada76b2010bf/tools/README.md?plain=1#L8)*
-- [cloudcoil/cloudcoil](https://github.com/cloudcoil/cloudcoil) - *[Model generation](https://github.com/cloudcoil/cloudcoil#%EF%B8%8F-model-generation)*
 - [IBM/compliance-trestle](https://github.com/IBM/compliance-trestle) - *[Building models from OSCAL schemas](https://github.com/IBM/compliance-trestle/blob/develop/docs/contributing/website.md#building-the-models-from-the-oscal-schemas)*
-- [hashintel/hash](https://github.com/hashintel/hash) - *[codegen.sh](https://github.com/hashintel/hash/blob/9762b1a1937e14f6b387677e4c7fe4a5f3d4a1e1/libs/%40local/hash-graph-client/python/scripts/codegen.sh#L21-L39)*
 
 [See all dependents →](https://github.com/koxudaxi/datamodel-code-generator/network/dependents)
 

docs/index.md

@@ -212,14 +212,15 @@ These projects use datamodel-code-generator. See the linked examples for real-wo
 - [apache/iceberg](https://github.com/apache/iceberg) - *[Generate Python code](https://github.com/apache/iceberg/blob/d2e1094ee0cc6239d43f63ba5114272f59d605d2/open-api/README.md?plain=1#L39)*
 - [open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) - *[datamodel_generation.py](https://github.com/open-metadata/OpenMetadata/blob/main/scripts/datamodel_generation.py)*
 - [awslabs/aws-lambda-powertools-python](https://github.com/awslabs/aws-lambda-powertools-python) - *[Recommended for advanced-use-cases](https://awslabs.github.io/aws-lambda-powertools-python/2.6.0/utilities/parser/#advanced-use-cases)*
-- [Netflix/consoleme](https://github.com/Netflix/consoleme) - *[Generate models from Swagger](https://github.com/Netflix/consoleme/blob/master/docs/gitbook/faq.md#how-do-i-generate-models-from-the-swagger-specification)*
+- [vllm-project/vllm](https://github.com/vllm-project/vllm) - *[Test dependency for model tests](https://github.com/vllm-project/vllm/blob/main/requirements/test.in)*
+- [stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) - *[Generate Pydantic models from JSON Schema for reliability tests](https://github.com/stanfordnlp/dspy/blob/main/tests/reliability/generate/utils.py)*
+- [topoteretes/cognee](https://github.com/topoteretes/cognee) - *[Runtime generation of graph data models from JSON Schema](https://github.com/topoteretes/cognee/blob/main/cognee/shared/graph_model_utils.py)*
+- [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - *[Generate MCP server TypedDict models via Makefile](https://github.com/e2b-dev/E2B/blob/main/packages/python-sdk/Makefile)*
+- [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) - *[Generate Python client dataclasses from OpenAPI via Makefile](https://github.com/Arize-ai/phoenix/blob/main/Makefile)*
+- [firebase/genkit](https://github.com/firebase/genkit) - *[Generate core typing models from JSON Schema](https://github.com/firebase/genkit/blob/main/py/bin/generate_schema_typing)*
+- [open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) - *[Generate SDK configuration dataclasses from JSON Schema](https://github.com/open-telemetry/opentelemetry-python/blob/main/tox.ini)*
 - [DataDog/integrations-core](https://github.com/DataDog/integrations-core) - *[Config models](https://github.com/DataDog/integrations-core/blob/master/docs/developer/meta/config-models.md)*
 - [argoproj-labs/hera](https://github.com/argoproj-labs/hera) - *[Makefile](https://github.com/argoproj-labs/hera/blob/c8cbf0c7a676de57469ca3d6aeacde7a5e84f8b7/Makefile#L53-L62)*
-- [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer) - *[generate-types.sh](https://github.com/SeldonIO/MLServer/blob/master/hack/generate-types.sh)*
-- [geojupyter/jupytergis](https://github.com/geojupyter/jupytergis) - *[Python type generation from JSONSchema](https://jupytergis.readthedocs.io/en/latest/contributor_guide/explanation/code-generation.html)*
-- [Nike-Inc/brickflow](https://github.com/Nike-Inc/brickflow) - *[Code generate tools](https://github.com/Nike-Inc/brickflow/blob/e3245bf638588867b831820a6675ada76b2010bf/tools/README.md?plain=1#L8)*
-- [cloudcoil/cloudcoil](https://github.com/cloudcoil/cloudcoil) - *[Model generation](https://github.com/cloudcoil/cloudcoil#%EF%B8%8F-model-generation)*
 - [IBM/compliance-trestle](https://github.com/IBM/compliance-trestle) - *[Building models from OSCAL schemas](https://github.com/IBM/compliance-trestle/blob/develop/docs/contributing/website.md#building-the-models-from-the-oscal-schemas)*
-- [hashintel/hash](https://github.com/hashintel/hash) - *[codegen.sh](https://github.com/hashintel/hash/blob/9762b1a1937e14f6b387677e4c7fe4a5f3d4a1e1/libs/%40local/hash-graph-client/python/scripts/codegen.sh#L21-L39)*
 
 [See all dependents →](https://github.com/koxudaxi/datamodel-code-generator/network/dependents)

docs/llms-full.txt

@@ -214,15 +214,16 @@ These projects use datamodel-code-generator. See the linked examples for real-wo
 - [apache/iceberg](https://github.com/apache/iceberg) - *[Generate Python code](https://github.com/apache/iceberg/blob/d2e1094ee0cc6239d43f63ba5114272f59d605d2/open-api/README.md?plain=1#L39)*
 - [open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) - *[datamodel_generation.py](https://github.com/open-metadata/OpenMetadata/blob/main/scripts/datamodel_generation.py)*
 - [awslabs/aws-lambda-powertools-python](https://github.com/awslabs/aws-lambda-powertools-python) - *[Recommended for advanced-use-cases](https://awslabs.github.io/aws-lambda-powertools-python/2.6.0/utilities/parser/#advanced-use-cases)*
-- [Netflix/consoleme](https://github.com/Netflix/consoleme) - *[Generate models from Swagger](https://github.com/Netflix/consoleme/blob/master/docs/gitbook/faq.md#how-do-i-generate-models-from-the-swagger-specification)*
+- [vllm-project/vllm](https://github.com/vllm-project/vllm) - *[Test dependency for model tests](https://github.com/vllm-project/vllm/blob/main/requirements/test.in)*
+- [stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) - *[Generate Pydantic models from JSON Schema for reliability tests](https://github.com/stanfordnlp/dspy/blob/main/tests/reliability/generate/utils.py)*
+- [topoteretes/cognee](https://github.com/topoteretes/cognee) - *[Runtime generation of graph data models from JSON Schema](https://github.com/topoteretes/cognee/blob/main/cognee/shared/graph_model_utils.py)*
+- [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - *[Generate MCP server TypedDict models via Makefile](https://github.com/e2b-dev/E2B/blob/main/packages/python-sdk/Makefile)*
+- [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) - *[Generate Python client dataclasses from OpenAPI via Makefile](https://github.com/Arize-ai/phoenix/blob/main/Makefile)*
+- [firebase/genkit](https://github.com/firebase/genkit) - *[Generate core typing models from JSON Schema](https://github.com/firebase/genkit/blob/main/py/bin/generate_schema_typing)*
+- [open-telemetry/opentelemetry-python](https://github.com/open-telemetry/opentelemetry-python) - *[Generate SDK configuration dataclasses from JSON Schema](https://github.com/open-telemetry/opentelemetry-python/blob/main/tox.ini)*
 - [DataDog/integrations-core](https://github.com/DataDog/integrations-core) - *[Config models](https://github.com/DataDog/integrations-core/blob/master/docs/developer/meta/config-models.md)*
 - [argoproj-labs/hera](https://github.com/argoproj-labs/hera) - *[Makefile](https://github.com/argoproj-labs/hera/blob/c8cbf0c7a676de57469ca3d6aeacde7a5e84f8b7/Makefile#L53-L62)*
-- [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer) - *[generate-types.sh](https://github.com/SeldonIO/MLServer/blob/master/hack/generate-types.sh)*
-- [geojupyter/jupytergis](https://github.com/geojupyter/jupytergis) - *[Python type generation from JSONSchema](https://jupytergis.readthedocs.io/en/latest/contributor_guide/explanation/code-generation.html)*
-- [Nike-Inc/brickflow](https://github.com/Nike-Inc/brickflow) - *[Code generate tools](https://github.com/Nike-Inc/brickflow/blob/e3245bf638588867b831820a6675ada76b2010bf/tools/README.md?plain=1#L8)*
-- [cloudcoil/cloudcoil](https://github.com/cloudcoil/cloudcoil) - *[Model generation](https://github.com/cloudcoil/cloudcoil#%EF%B8%8F-model-generation)*
 - [IBM/compliance-trestle](https://github.com/IBM/compliance-trestle) - *[Building models from OSCAL schemas](https://github.com/IBM/compliance-trestle/blob/develop/docs/contributing/website.md#building-the-models-from-the-oscal-schemas)*
-- [hashintel/hash](https://github.com/hashintel/hash) - *[codegen.sh](https://github.com/hashintel/hash/blob/9762b1a1937e14f6b387677e4c7fe4a5f3d4a1e1/libs/%40local/hash-graph-client/python/scripts/codegen.sh#L21-L39)*
 
 [See all dependents →](https://github.com/koxudaxi/datamodel-code-generator/network/dependents)