feat: exportable workflow, remove update tool

README.md

@@ -64,7 +64,7 @@ Progi Monitoring gives you a live view of every running and completed task — s
 
 **4. Optimize as you go**
 
-Tweak playbooks between runs. Because workflows live in a database and survive context resets, every future task picks up your changes automatically — your process gets sharper with each iteration.
+Tweak playbooks in Progi Monitoring between runs. Because workflows live in a database and survive context resets, every future task picks up your changes automatically — your process gets sharper with each iteration.
 
 ---
 
@@ -88,7 +88,6 @@ Tweak playbooks between runs. Because workflows live in a database and survive c
 | `get_playbook_authoring_prompt` | Return the Pass 2 system prompt for authoring a step's playbook (injects workflow context) |
 | `save_workflow` | Persist a new workflow, its steps, and playbooks |
 | `list_workflows` | Return all workflows with their ordered steps |
-| `update_playbook` | Replace the playbook content for a step |
 
 Authoring is two passes: Pass 1 turns a plain-language description into a structured skeleton; Pass 2 authors each step's playbook. `save_workflow` persists both.
 

docs/README.md

@@ -30,21 +30,15 @@ Before I save this, a few questions:
 
 Questions would be specific to your use case of course.
 
-Then, Progi saves the playbooks:
+Then, Progi saves the workflow:
 ```md
 Now let me save the skeleton first, then I'll get the playbook authoring prompts for each step.
 
 Progi [save_workflow]
 
-Progi [update_playbook]
-Progi [update_playbook]
-Progi [update_playbook]
-...
-Progi [update_playbook]
-
 ```
 
-Finally, Progi saves your complete workflow:
+Finally, Progi confirms your complete workflow:
 ```
 Done. The Agentic Fix-Up workflow is saved with 4 steps and full playbooks.
 

progi/db.py

@@ -935,6 +935,39 @@ def get_workflow_with_playbooks(cfg: Config, workflow_id: int) -> dict[str, Any]
     }
 
 
+def export_workflow(cfg: Config, workflow_id: int) -> dict[str, Any]:
+    """Return a workflow in the save_workflow-compatible export format."""
+    wf = get_workflow_with_playbooks(cfg, workflow_id)
+    step_by_id = {s["id"]: s for s in wf["steps"]}
+    return {
+        "name": wf["name"],
+        "description": wf["description"],
+        "process": [
+            {
+                "order": s["order"],
+                "name": s["name"],
+                "input_spec": s["input_spec"],
+                "output_spec": s["output_spec"],
+            }
+            for s in wf["steps"]
+        ],
+        "edges": [
+            {
+                "from": step_by_id[e["from_step_id"]]["name"],
+                "to": step_by_id[e["to_step_id"]]["name"],
+                "condition": e["condition"],
+                "priority": e["priority"],
+            }
+            for e in wf["edges"]
+        ],
+        "playbooks": {
+            s["name"]: s["playbook"]
+            for s in wf["steps"]
+            if s["playbook"] is not None
+        },
+    }
+
+
 def get_step_detail(cfg: Config, workflow_id: int, step_id: int) -> dict[str, Any]:
     """Return a single step with its playbook, and derived prev/next steps."""
     engine = get_engine(cfg)

progi/mcp_server.py

@@ -7,8 +7,7 @@
 - **Work loop**: create_task, list_tasks,
   start_or_continue_task, update_progress_notes, submit_output.
 - **Workflow authoring**: get_process_skeleton_prompt,
-  get_playbook_authoring_prompt, save_workflow, list_workflows,
-  update_playbook.
+  get_playbook_authoring_prompt, save_workflow, list_workflows.
 
 IMPORTANT (stdio hygiene): when running over stdio, stdout is the MCP protocol
 channel. Never `print()` to stdout. Use logging configured to stderr (see
@@ -235,11 +234,6 @@ def list_workflows() -> dict:
     return {"workflows": db.list_workflows(_cfg), "monitoring_url": _monitoring_url("/workflows")}
 
 
-@mcp.tool(title="Update Playbook")
-def update_playbook(step_id: int, content: str) -> dict:
-    """Replace the playbook content for a step."""
-    return db.update_playbook(_cfg, step_id, content)
-
 
 def run(cfg: Config | None = None) -> None:
     """Run the MCP server over stdio. Blocks until the client disconnects."""

progi/web/routers/workflows.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import json
+
 from fastapi import APIRouter, Body, HTTPException, Request
 from fastapi.responses import HTMLResponse, JSONResponse, Response
 from fastapi.templating import Jinja2Templates
@@ -78,6 +80,21 @@ def step_detail(workflow_id: int, step_id: int, request: Request):
     )
 
 
+@router.get("/workflows/{workflow_id}/export")
+def export_workflow(workflow_id: int, request: Request):
+    cfg = request.app.state.cfg
+    try:
+        data = db.export_workflow(cfg, workflow_id)
+    except ValueError as exc:
+        raise HTTPException(status_code=404, detail=str(exc))
+    filename = data["name"].replace(" ", "_") + ".json"
+    return Response(
+        content=json.dumps(data, indent=2),
+        media_type="application/json",
+        headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+    )
+
+
 @router.patch("/workflows/{workflow_id}", response_class=JSONResponse)
 def rename_workflow(
     workflow_id: int,

progi/web/templates/pages/workflows.html

@@ -106,6 +106,11 @@
               @click.stop="startRename(wf)"
               class="w-full text-left px-3 py-1.5 text-xs text-muted hover:bg-surface-1 hover:text-primary transition-colors"
             >Rename</button>
+            <a
+              :href="`/workflows/${wf.id}/export`"
+              @click.stop="openMenuId = null"
+              class="block w-full text-left px-3 py-1.5 text-xs text-muted hover:bg-surface-1 hover:text-primary transition-colors"
+            >Export JSON</a>
             <button
               type="button"
               @click.stop="deleteWorkflow(wf.id)"