Add Gemini Resource

.github/workflows/quality-check-dagster-contrib-gemini.yml

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+name: quality-check-dagster-contrib-gemini
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+    paths:
+      - 'libraries/dagster-contrib-gemini/**'
+
+jobs:
+  check:
+    uses: ./.github/workflows/template-quality-check.yml
+    with:
+      working_directory: ./libraries/dagster-contrib-gemini

.github/workflows/release-dagster-contrib-gemini.yml

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+name: build-and-release-dagster-contrib-gemini
+
+on:
+  push:
+    tags:
+      - 'dagster_contrib_gemini-*.*.*'
+
+jobs:
+  build-and-release-dagster-contrib-gemini:
+    uses: ./.github/workflows/template-release.yml
+    with:
+      library_name: dagster-contrib-gemini
+      working_directory: ./libraries/dagster-contrib-gemini
+    secrets: inherit

libraries/dagster-contrib-gemini/Makefile

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+test:
+	uv run pytest
+
+ruff:
+	uv run ruff check --fix .
+	uv run ruff format .
+
+check:
+	uv run pyright

libraries/dagster-contrib-gemini/README.md

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+# dagster-contrib-gemini
+
+A dagster module that provides integration with [Gemini](https://deepmind.google/technologies/gemini/).
+
+## Installation
+
+The `dagster_contrib_gemini` module is available as a PyPI package - install with your preferred python 
+environment manager (We recommend [uv](https://github.com/astral-sh/uv)).
+
+```
+source .venv/bin/activate
+uv pip install dagster_contrib_gemini
+```
+
+## Example Usage
+
+In addition to wrapping the Gemini GenerativeModel class (get_model/get_model_for_asset methods), 
+this resource logs the usage of the Gemini API to to the asset metadata (both number of calls, and tokens). 
+This is achieved by wrapping the GenerativeModel.generate_content method.
+
+Note that the usage will only be logged to the asset metadata from an Asset context -
+not from an Op context.
+Also note that only the synchronous API usage metadata will be automatically logged - 
+not the streaming or batching API.
+
+```python
+from dagster import AssetExecutionContext, Definitions, EnvVar, asset, define_asset_job
+from dagster_contrib_gemini import GeminiResource
+
+
+@asset(compute_kind="gemini")
+def gemini_asset(context: AssetExecutionContext, gemini: GeminiResource):
+    with gemini.get_model(context) as model:
+        response = model.generate_content(
+            "Generate a short sentence on tests"
+        )
+
+defs = Definitions(
+    assets=[gemini_asset],
+    resources={
+        "gemini": GeminiResource(
+            api_key=EnvVar("GEMINI_API_KEY"),
+            generative_model_name="gemini-1.5-flash"
+        ),
+    },
+)
+```
+
+
+## Development
+
+The `Makefile` provides the tools required to test and lint your local installation
+
+```sh
+make test
+make ruff
+make check
+```

libraries/dagster-contrib-gemini/dagster_contrib_gemini/__init__.py

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+from dagster_contrib_gemini.resource import GeminiResource as GeminiResource