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The elaborate call now sends working_dir from the Project dropdown.
The backend uses it (falling back to server workDir) when building
the system prompt, so AI-drafted tasks are contextualised to the
selected project.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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executor/claude.go: stat working_dir before cmd.Start() so a missing
or inaccessible directory surfaces as a clear error
("working_dir \"/bad/path\": no such file or directory") rather than
an opaque chdir failure wrapped in "starting claude".
api/elaborate.go: replace the hardcoded /root/workspace/claudomator
path with buildElaboratePrompt(workDir) which injects the server's
actual working directory (from os.Getwd() at startup). Empty workDir
tells the model to leave working_dir blank.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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- POST /api/tasks/elaborate: calls claude to draft a task config from
a natural-language prompt
- GET /api/executions/{id}/logs/stream: SSE tail of stdout.log
- CRUD /api/templates: create/list/get/update/delete reusable task configs
- GET /api/tasks/{id}/subtasks: list child tasks
- Server.NewServer accepts claudeBinPath for elaborate; injectable
elaborateCmdPath and logStore for test isolation
- Valid-transition guard added to POST /api/tasks/{id}/run
- CLI passes claude binary path through to the server
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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