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

api/services/workflow/tools/knowledge_base.py

@@ -242,7 +242,6 @@ async def _perform_retrieval(
 
             embedding_service = OpenAIEmbeddingService(
                 db_client=db_client,
-                max_tokens=128,
                 api_key=embeddings_api_key,
                 model_id=embeddings_model or "text-embedding-3-small",
                 base_url=embeddings_base_url,