feat: add agentic RAG with iterative sub-agent search

src/raglite/_chatml_function_calling.py

@@ -400,7 +400,9 @@ def chatml_function_calling_with_streaming(
 
     # Case 2: Automatic or fixed tool choice
     # Case 2 step 1: Determine whether to respond with a message or a tool call
-    assert (isinstance(tool_choice, str) and tool_choice == "auto") or isinstance(tool_choice, dict)
+    assert (isinstance(tool_choice, str) and tool_choice in ("auto", "required")) or isinstance(
+        tool_choice, dict
+    )
     if isinstance(tool_choice, dict):
         tools = [t for t in tools if t["function"]["name"] == tool_choice["function"]["name"]]
         assert tools

src/raglite/_config.py

@@ -103,3 +103,4 @@ class RAGLiteConfig:
     # list[Chunk], or list[ChunkSpan].
     search_method: SearchMethod = field(default=_vector_search, compare=False)
     self_query: bool = False
+    agentic_iterations: int = 3

src/raglite/_litellm.py

@@ -36,7 +36,6 @@
 
 # Reduce the logging level for LiteLLM, flashrank, and httpx.
 litellm.suppress_debug_info = True
-litellm.drop_params = True  # Drop unsupported parameters for models like GPT-5
 os.environ["LITELLM_LOG"] = "WARNING"
 logging.getLogger("LiteLLM").setLevel(logging.WARNING)
 logging.getLogger("flashrank").setLevel(logging.WARNING)