addressing PR comments

backend/onyx/agents/agent_search/basic/graph_builder.py

@@ -85,7 +85,6 @@ if __name__ == "__main__":
 
     graph = basic_graph_builder()
     compiled_graph = graph.compile()
-    # TODO: unify basic input
     input = BasicInput(logs="")
     primary_llm, fast_llm = get_default_llms()
     with get_session_context_manager() as db_session:

backend/onyx/agents/agent_search/basic/states.py

@@ -16,8 +16,9 @@ from onyx.agents.agent_search.orchestration.states import ToolChoiceUpdate
 
 
 class BasicInput(BaseModel):
-    # TODO: subclass global log update state
-    logs: str = ""
+    # Langgraph needs a nonempty input, but we pass in all static
+    # data through a RunnableConfig.
+    _unused: bool = True
 
 
 ## Graph Output State

backend/onyx/agents/agent_search/basic/utils.py

@@ -16,17 +16,9 @@ from onyx.utils.logger import setup_logger
 
 logger = setup_logger()
 
-# TODO: handle citations here; below is what was previously passed in
-# see basic_use_tool_response.py for where these variables come from
-# answer_handler = CitationResponseHandler(
-#     context_docs=final_search_results,
-#     final_doc_id_to_rank_map=map_document_id_order(final_search_results),
-#     display_doc_id_to_rank_map=map_document_id_order(displayed_search_results),
-# )
-
 
 def process_llm_stream(
-    stream: Iterator[BaseMessage],
+    messages: Iterator[BaseMessage],
     should_stream_answer: bool,
     final_search_results: list[LlmDoc] | None = None,
     displayed_search_results: list[LlmDoc] | None = None,
@@ -46,20 +38,20 @@ def process_llm_stream(
     full_answer = ""
     # This stream will be the llm answer if no tool is chosen. When a tool is chosen,
     # the stream will contain AIMessageChunks with tool call information.
-    for response in stream:
-        answer_piece = response.content
+    for message in messages:
+        answer_piece = message.content
         if not isinstance(answer_piece, str):
-            # TODO: handle non-string content
-            logger.warning(f"Received non-string content: {type(answer_piece)}")
+            # this is only used for logging, so fine to
+            # just add the string representation
             answer_piece = str(answer_piece)
         full_answer += answer_piece
 
-        if isinstance(response, AIMessageChunk) and (
-            response.tool_call_chunks or response.tool_calls
+        if isinstance(message, AIMessageChunk) and (
+            message.tool_call_chunks or message.tool_calls
         ):
-            tool_call_chunk += response  # type: ignore
+            tool_call_chunk += message  # type: ignore
         elif should_stream_answer:
-            for response_part in answer_handler.handle_response_part(response, []):
+            for response_part in answer_handler.handle_response_part(message, []):
                 dispatch_custom_event(
                     "basic_response",
                     response_part,

backend/onyx/agents/agent_search/deep_search_a/initial/generate_initial_answer/nodes/generate_initial_answer.py

@@ -87,6 +87,7 @@ def generate_initial_answer(
 
     # Use the query info from the base document retrieval
     query_info = get_query_info(state.original_question_retrieval_results)
+
     if agent_a_config.search_tool is None:
         raise ValueError("search_tool must be provided for agentic search")
     for tool_response in yield_search_responses(

backend/onyx/agents/agent_search/deep_search_a/main/operations.py

@@ -10,6 +10,7 @@ from onyx.agents.agent_search.shared_graph_utils.models import (
     QuestionAnswerResults,
 )
 from onyx.chat.models import SubQuestionPiece
+from onyx.context.search.models import IndexFilters
 from onyx.tools.models import SearchQueryInfo
 from onyx.utils.logger import setup_logger
 
@@ -141,5 +142,10 @@ def get_query_info(results: list[QueryResult]) -> SearchQueryInfo:
         result.query_info for result in results if result.query_info is not None
     ]
     if len(query_infos) == 0:
+        return SearchQueryInfo(
+            predicted_search=None,
+            final_filters=IndexFilters(access_control_list=None),
+            recency_bias_multiplier=1.0,
+        )
         raise ValueError("No query info found")
     return query_infos[0]

backend/onyx/agents/agent_search/run_graph.py

@@ -26,6 +26,8 @@ from onyx.chat.models import StreamStopInfo
 from onyx.chat.models import SubQueryPiece
 from onyx.chat.models import SubQuestionPiece
 from onyx.chat.models import ToolResponse
+from onyx.configs.agent_configs import ALLOW_REFINEMENT
+from onyx.configs.agent_configs import INITIAL_SEARCH_DECOMPOSITION_ENABLED
 from onyx.context.search.models import SearchRequest
 from onyx.db.engine import get_session_context_manager
 from onyx.tools.tool_runner import ToolCallKickoff
@@ -58,7 +60,6 @@ def _parse_agent_event(
     # 1. It's a list of the names of every place we dispatch a custom event
     # 2. We maintain the intended types yielded by each event
     if event_type == "on_custom_event":
-        # TODO: different AnswerStream types for different events
         if event["name"] == "decomp_qs":
             return cast(SubQuestionPiece, event["data"])
         elif event["name"] == "subqueries":
@@ -133,15 +134,30 @@ def _manage_async_event_streaming(
     return _yield_async_to_sync()
 
 
+def manage_sync_streaming(
+    compiled_graph: CompiledStateGraph,
+    config: AgentSearchConfig,
+    graph_input: BasicInput | MainInput_a,
+) -> Iterable[StreamEvent]:
+    message_id = config.message_id if config else None
+    for event in compiled_graph.stream(
+        stream_mode="custom",
+        input=graph_input,
+        config={"metadata": {"config": config, "thread_id": str(message_id)}},
+        # debug=True,
+    ):
+        print(event)
+
+    return []
+
+
 def run_graph(
     compiled_graph: CompiledStateGraph,
     config: AgentSearchConfig,
     input: BasicInput | MainInput_a,
 ) -> AnswerStream:
-    # TODO: add these to the environment
-    # config.perform_initial_search_path_decision = False
-    config.perform_initial_search_decomposition = True
-    config.allow_refinement = True
+    config.perform_initial_search_decomposition = INITIAL_SEARCH_DECOMPOSITION_ENABLED
+    config.allow_refinement = ALLOW_REFINEMENT
 
     for event in _manage_async_event_streaming(
         compiled_graph=compiled_graph, config=config, graph_input=input
@@ -152,8 +168,8 @@ def run_graph(
         yield parsed_object
 
 
-# TODO: call this once on startup, TBD where and if it should be gated based
-# on dev mode or not
+# It doesn't actually take very long to load the graph, but we'd rather
+# not compile it again on every request.
 def load_compiled_graph() -> CompiledStateGraph:
     global _COMPILED_GRAPH
     if _COMPILED_GRAPH is None:
@@ -176,13 +192,11 @@ def run_main_graph(
     yield from run_graph(compiled_graph, config, input)
 
 
-# TODO: unify input types, especially prosearchconfig
 def run_basic_graph(
     config: AgentSearchConfig,
 ) -> AnswerStream:
     graph = basic_graph_builder()
     compiled_graph = graph.compile()
-    # TODO: unify basic input
     input = BasicInput()
     return run_graph(compiled_graph, config, input)
 

backend/onyx/configs/agent_configs.py

@@ -1,5 +1,8 @@
 import os
 
+INITIAL_SEARCH_DECOMPOSITION_ENABLED = True
+ALLOW_REFINEMENT = True
+
 AGENT_DEFAULT_RETRIEVAL_HITS = 15
 AGENT_DEFAULT_RERANKING_HITS = 10
 AGENT_DEFAULT_SUB_QUESTION_MAX_CONTEXT_HITS = 8