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-`pyproject.toml`: If you prefer using poetry for dependency management, check out [this how-to guide](/langsmith/setup-pyproject) on using `pyproject.toml` for LangSmith.
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- a monorepo: If you are interested in deploying a graph located inside a monorepo, take a look at [this repository](https://github.com/langchain-ai/langgraph-example-monorepo) for an example of how to do so.
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## Java Setup {#java-setup}
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For Java applications, use Maven or Gradle for dependency management.
The LangSmith Java SDK configures itself through environment variables. See the [Environment Variables reference](/langsmith/env-var) to configure additional variables for tracing.
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-`requirements.txt`: for dependency management, check out [this how-to guide](/langsmith/setup-app-requirements-txt) on using `requirements.txt` for LangSmith.
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- a monorepo: To deploy a graph located inside a monorepo, take a look at [this repository](https://github.com/langchain-ai/langgraph-example-monorepo) for an example of how to do so.
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-**Java**: For Java applications, use Maven's `pom.xml` or Gradle's `build.gradle.kts` for dependency management. See [setup with Maven/Gradle](/langsmith/setup-app-requirements-txt#java-setup) for Java-specific configuration.
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After each step, an example file directory is provided to demonstrate how code can be organized.
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