Merge pull request #25 from GitHubSecurityLab/sylwia-readme-update

Update .env docs

Author: sylwia-budzynska

README.md

@@ -11,6 +11,8 @@ LOG_DIR=/app/logs
 
 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/).
+
 In addition, AI API endpoints and secrets also needs 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` needs to be set to the approach AI API endpoints and credentials. If not set, the default `AI_API_ENDPOINT` is GitHub models:
 
 ```
@@ -19,7 +21,7 @@ AI_API_ENDPOINT="https://models.github.ai/inference"
 
 In addition, the `GH_TOKEN` environment variable also needs to be set to allow interaction with the GitHub API, such as fetching content, creating issues etc.
 
-The repo provides a script [`run_seclab_agent.sh`](https://github.com/GitHubSecurityLab/seclab-taskflows/blob/main/src/run_seclab_agent.sh) to run a docker container of the `seclab-taskflow-agent` as outlined [here](https://github.com/GitHubSecurityLab/seclab-taskflow-agent/tree/main?tab=readme-ov-file#deploying-from-docker). Note that this script needs to be run from the `src` directory.
+The repo provides a script [`run_seclab_agent.sh`](https://github.com/GitHubSecurityLab/seclab-taskflows/blob/main/src/run_seclab_agent.sh) to run a docker container of the `seclab-taskflow-agent` as outlined [here](https://github.com/GitHubSecurityLab/seclab-taskflow-agent/tree/main?tab=readme-ov-file#deploying-from-docker). Note that this script needs to be run from the `src` directory, and the `.env` file with the environmental variables needs to be in the same directory.
 
 Individual taskflows may need additional setup, please refer to the `README.md` in the relevant subdirectories for further requirements.