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Add use-case recipes and smoke packs

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Turn the stable workspace surface into five documented, runnable stories with a shared guest-backed smoke runner, new docs/use-cases recipes, and Make targets for cold-start validation, repro/fix loops, parallel workspaces, untrusted inspection, and review/eval workflows.

Bump the package and catalog surface to 3.6.0, update the main docs to point users from the stable workspace walkthrough into the recipe index and smoke packs, and mark the 3.6.0 roadmap milestone done.

Fix a regression uncovered by the real parallel-workspaces smoke: workspace_file_read must not bump last_activity_at. Verified with uv lock, UV_CACHE_DIR=.uv-cache make check, UV_CACHE_DIR=.uv-cache make dist-check, and USE_CASE_ENVIRONMENT=debian:12 UV_CACHE_DIR=.uv-cache make smoke-use-cases.
This commit is contained in:
Thales Maciel 2026-03-13 10:27:38 -03:00
parent 21a88312b6
commit 894706af50
22 changed files with 1310 additions and 16 deletions
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42
docs/use-cases/repro-fix-loop.md Normal file
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# Repro Plus Fix Loop
Recommended profile: `workspace-core`
Smoke target:
```bash
make smoke-repro-fix-loop
```
Use this flow when the agent has to reproduce a bug, patch files without shell
quoting tricks, rerun the failing command, diff the result, export the fix, and
reset back to baseline.
Canonical SDK flow:
```python
from pyro_mcp import Pyro
pyro = Pyro()
created = pyro.create_workspace(environment="debian:12", seed_path="./broken-repro")
workspace_id = str(created["workspace_id"])
pyro.exec_workspace(workspace_id, command="sh check.sh")
pyro.read_workspace_file(workspace_id, "message.txt")
pyro.apply_workspace_patch(
workspace_id,
patch="--- a/message.txt\n+++ b/message.txt\n@@ -1 +1 @@\n-broken\n+fixed\n",
)
pyro.exec_workspace(workspace_id, command="sh check.sh")
pyro.diff_workspace(workspace_id)
pyro.export_workspace(workspace_id, "message.txt", output_path="./message.txt")
pyro.reset_workspace(workspace_id)
pyro.delete_workspace(workspace_id)
```
Canonical MCP/chat example:
- [examples/openai_responses_workspace_core.py](../../examples/openai_responses_workspace_core.py)
This is the main `workspace-core` story: model-native file ops, repeatable exec,
structured diff, explicit export, and reset-over-repair.