feat: prose completion api

src/prose/graph/builder.py

@@ -0,0 +1,67 @@
+# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
+# SPDX-License-Identifier: MIT
+
+import asyncio
+import logging
+from langgraph.graph import END, START, StateGraph
+
+from src.prose.graph.prose_continue_node import prose_continue_node
+from src.prose.graph.prose_fix_node import prose_fix_node
+from src.prose.graph.prose_improve_node import prose_improve_node
+from src.prose.graph.prose_longer_node import prose_longer_node
+from src.prose.graph.prose_shorter_node import prose_shorter_node
+from src.prose.graph.prose_zap_node import prose_zap_node
+from src.prose.graph.state import ProseState
+
+
+def optional_node(state: ProseState):
+    return state["option"]
+
+
+def build_graph():
+    """Build and return the ppt workflow graph."""
+    # build state graph
+    builder = StateGraph(ProseState)
+    builder.add_node("prose_continue", prose_continue_node)
+    builder.add_node("prose_improve", prose_improve_node)
+    builder.add_node("prose_shorter", prose_shorter_node)
+    builder.add_node("prose_longer", prose_longer_node)
+    builder.add_node("prose_fix", prose_fix_node)
+    builder.add_node("prose_zap", prose_zap_node)
+    builder.add_conditional_edges(
+        START,
+        optional_node,
+        {
+            "continue": "prose_continue",
+            "improve": "prose_improve",
+            "shorter": "prose_shorter",
+            "longer": "prose_longer",
+            "fix": "prose_fix",
+            "zap": "prose_zap",
+        },
+        END,
+    )
+    return builder.compile()
+
+
+async def _test_workflow():
+    workflow = build_graph()
+    events = workflow.astream(
+        {
+            "content": "The weather in Beijing is sunny",
+            "option": "continue",
+        },
+        stream_mode="messages",
+        subgraphs=True,
+    )
+    async for node, event in events:
+        e = event[0]
+        print({"id": e.id, "object": "chat.completion.chunk", "content": e.content})
+
+
+if __name__ == "__main__":
+    from dotenv import load_dotenv
+
+    load_dotenv()
+    logging.basicConfig(level=logging.INFO)
+    asyncio.run(_test_workflow())