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Co-authored-by: Kevin Backhouse <kevinbackhouse@github.com>
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The `MEMCACHE_STATE_DIR` is needed to persist some intermediate data in the memcache, `DATA_DIR` is needed for various mcp servers to store intermediate results, and `LOG_DIR` is used to store log files generated by the servers. These can be set in a `.env` file in the `src` directory. If no environment variables are set for the custom MCP servers, relevant folders will be created automatically. The location depends on the platform, and is set by [`platformdirs`](https://pypi.org/project/platformdirs/).
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In addition, AI API endpoints and secrets also need to be configured via [environment variables or Codespace secrets](https://github.com/GitHubSecurityLab/seclab-taskflow-agent?tab=readme-ov-file#configuration). In particular, the environment variables `AI_API_TOKEN` and `AI_API_ENDPOINT` need to be set to the approach AI API endpoints and credentials. If not set, the default `AI_API_ENDPOINT` is GitHub models:
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In addition, AI API endpoints and secrets also need to be configured via [environment variables or Codespace secrets](https://github.com/GitHubSecurityLab/seclab-taskflow-agent?tab=readme-ov-file#configuration). In particular, the environment variables `AI_API_TOKEN` and `AI_API_ENDPOINT` need to be set to the appropriate AI API endpoints and credentials. If not set, the default `AI_API_ENDPOINT` is GitHub models:
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```
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AI_API_ENDPOINT="https://models.github.ai/inference"

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