feat: refactor node spec and add mcp tools (#244)

* refactor: carve out extraction panel

* refactor: create spec versions for node types

* refactor: create a GenericNode and remove custom nodes

* feat: add python and typescript sdk

* add dograh sdk

* fix: fetch draft workflow definition over published one

* fix: fix routes of SDKs to use code gen

* chore: remove doclink dependency to reduce image size

* chore: format files

* chore: bump pipecat

* feat: let mcp fetch archived workflows on demand

* chore: fix tests

* feat: add sdk documentation

* chore: change banner and add badge

sdk/python/src/dograh_sdk/__init__.py

@@ -0,0 +1,35 @@
+"""Dograh SDK — typed builder for voice-AI workflows.
+
+Runtime SDK: fetches the spec catalog from the Dograh backend at session
+start and validates every `Workflow.add()` call against it. LLMs don't
+need to import per-node-type classes — the `type` argument is a string
+keyed against the fetched spec catalog.
+
+    from dograh_sdk import DograhClient, Workflow
+
+    with DograhClient(base_url="http://localhost:8000", api_key=...) as client:
+        wf = Workflow(client=client, name="loan_qualification")
+        start = wf.add(type="startCall", name="greeting", prompt="...")
+        qualify = wf.add(type="agentNode", name="qualify", prompt="...")
+        wf.edge(start, qualify, label="interested", condition="...")
+        client.save_workflow(workflow_id=123, workflow=wf)
+
+For typed IDE autocomplete, generate per-node dataclasses via the SDK
+codegen (Phase 6) — the runtime and typed SDKs share this same core.
+"""
+
+from .client import DograhClient
+from .errors import ApiError, DograhSdkError, SpecMismatchError, ValidationError
+from .typed._base import TypedNode
+from .workflow import NodeRef, Workflow
+
+__all__ = [
+    "ApiError",
+    "DograhClient",
+    "DograhSdkError",
+    "NodeRef",
+    "SpecMismatchError",
+    "TypedNode",
+    "ValidationError",
+    "Workflow",
+]