feat(examples): add load-and-edit workflow SDK example in Python and TypeScript (#441)

Closes #370

examples/python/load_and_edit_workflow.py

@@ -0,0 +1,75 @@
+"""Load an existing workflow, edit a node prompt, and save it as a draft.
+
+Requirements:
+    pip install -r requirements.txt
+
+Environment variables (loaded from `.env` in this directory):
+    DOGRAH_API_ENDPOINT  - Dograh API base URL (e.g. http://localhost:8000)
+    DOGRAH_API_TOKEN     - API token sent as X-API-Key
+
+Run:
+    python load_and_edit_workflow.py
+"""
+
+from __future__ import annotations
+
+import os
+import sys
+from pathlib import Path
+
+from dotenv import load_dotenv
+
+from dograh_sdk import DograhClient
+from dograh_sdk._generated_models import UpdateWorkflowRequest
+
+load_dotenv(Path(__file__).parent / ".env")
+
+# Replace with the numeric ID of an existing agent in your Dograh account.
+WORKFLOW_ID = 0
+
+# Sentence appended to the startCall node's prompt when the script runs.
+PROMPT_SUFFIX = " Please be concise — keep all responses under two sentences."
+
+
+def main() -> int:
+    api_endpoint = os.environ.get("DOGRAH_API_ENDPOINT", "http://localhost:8000")
+    api_token = os.environ.get("DOGRAH_API_TOKEN")
+
+    if not api_token:
+        print("DOGRAH_API_TOKEN is required", file=sys.stderr)
+        return 1
+
+    if WORKFLOW_ID == 0:
+        print("Set WORKFLOW_ID at the top of this file to an existing workflow ID", file=sys.stderr)
+        return 1
+
+    with DograhClient(base_url=api_endpoint, api_key=api_token) as client:
+        existing = client.get_workflow(WORKFLOW_ID)
+        print(f"Loaded workflow {existing.id}: {existing.name!r} (status={existing.status})")
+
+        definition = dict(existing.workflow_definition)
+
+        for node in definition.get("nodes", []):
+            if node.get("type") == "startCall":
+                data = dict(node.get("data") or {})
+                data["prompt"] = (data.get("prompt") or "") + PROMPT_SUFFIX
+                node["data"] = data
+                break
+
+        result = client.update_workflow(
+            WORKFLOW_ID,
+            body=UpdateWorkflowRequest(
+                name=existing.name,
+                workflow_definition=definition,
+            ),
+        )
+        print(
+            f"Saved draft for workflow {result.id}: {result.name!r} "
+            f"(version={result.version_number}, status={result.version_status})"
+        )
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())