Can we get only chunk message without metadata on stream mode of "messages_tuple"?

[junan-trustarc]

I was testing "messages_tuple" as stream_mode since I like chunk message receiving instead of completed message like "messages".
However it returns with metadata together which is unnecessary.
Is there away to receive only chunk message without metadata? also can we remove property of null or empty list ?
This will reduce duplicated streaming data a lot.

[vbarda]

Streaming metadata is actually intended and important for a lot of use cases (for example, filtering streamed tokens from a particular model invocation, etc)

If you don't need the metadata, you can simply unpack the data in the loop and only keep the message

async for chunk in client.runs.stream(
    thread["thread_id"],
    assistant_id=assistant_id,
    input=input,
    config=config,
    stream_mode="messages-tuple",
):
    print(chunk.data[0])  # ignore metadata

also, not sure what you mean by "property of null"

[junan-trustarc]

I mean I am receiving streaming data from UI(browser level)
in langgraph api, can we have any custom filtering for "messages-tuple" ?
I don't want to receive huge payload from BE to FE which contains so many duplicated metadata and unnecessary properties.
I want to reduce size of streaming data so that performance will be improved.

below is example streaming data receiving (this is just piece of lines grabbed)

event: metadata
data: {"run_id": "1efd8e68-da10-6d29-acef-38fbb61b444f", "attempt": 1}

event: messages
data: [{"content": "", "additional_kwargs": {"tool_calls": [{"index": 0, "id": "call_k0EUkKD3Y5kyPdcL1Jufmwlc", "function": {"arguments": "", "name": "NymityAiTool"}, "type": "function"}]}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-8380c480-3734-4ed2-807d-e0084d16e6ff", "example": false, "tool_calls": [{"name": "NymityAiTool", "args": {}, "id": "call_k0EUkKD3Y5kyPdcL1Jufmwlc", "type": "tool_call"}], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": [{"name": "NymityAiTool", "args": "", "id": "call_k0EUkKD3Y5kyPdcL1Jufmwlc", "index": 0, "type": "tool_call_chunk"}]}, {"created_by": "system", "auth": {"account_id": "27c035dc-5642-488d-be44-7a3df4d511eb", "user_id": "307632e9-2cce-48dd-936f-a6001cc7efc7"}, "graph_id": "arc", "run_attempt": 1, "langgraph_version": "0.2.66", "langgraph_plan": "developer", "langgraph_host": "self-hosted", "run_id": "1efd8e68-da10-6d29-acef-38fbb61b444f", "thread_id": "ba3009d8-1e6e-4ddb-94c0-45f336a7b1fe", "assistant_id": "40e7255c-730b-5094-bef3-f1262bc3eb18", "user_id": "", "langgraph_step": 1, "langgraph_node": "supervisor", "langgraph_triggers": ["start:supervisor"], "langgraph_path": ["__pregel_pull", "supervisor"], "langgraph_checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "ls_provider": "openai", "ls_model_name": "gpt-4o-mini", "ls_model_type": "chat", "ls_temperature": null}]

event: messages
data: [{"content": "", "additional_kwargs": {"tool_calls": [{"index": 0, "id": null, "function": {"arguments": "{}", "name": null}, "type": null}]}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-8380c480-3734-4ed2-807d-e0084d16e6ff", "example": false, "tool_calls": [{"name": "", "args": {}, "id": null, "type": "tool_call"}], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": [{"name": null, "args": "{}", "id": null, "index": 0, "type": "tool_call_chunk"}]}, {"created_by": "system", "auth": {"account_id": "27c035dc-5642-488d-be44-7a3df4d511eb", "user_id": "307632e9-2cce-48dd-936f-a6001cc7efc7"}, "graph_id": "arc", "run_attempt": 1, "langgraph_version": "0.2.66", "langgraph_plan": "developer", "langgraph_host": "self-hosted", "run_id": "1efd8e68-da10-6d29-acef-38fbb61b444f", "thread_id": "ba3009d8-1e6e-4ddb-94c0-45f336a7b1fe", "assistant_id": "40e7255c-730b-5094-bef3-f1262bc3eb18", "user_id": "", "langgraph_step": 1, "langgraph_node": "supervisor", "langgraph_triggers": ["start:supervisor"], "langgraph_path": ["__pregel_pull", "supervisor"], "langgraph_checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "ls_provider": "openai", "ls_model_name": "gpt-4o-mini", "ls_model_type": "chat", "ls_temperature": null}]

event: messages
data: [{"content": "", "additional_kwargs": {}, "response_metadata": {"finish_reason": "tool_calls", "model_name": "gpt-4o-mini-2024-07-18", "system_fingerprint": "fp_72ed7ab54c"}, "type": "AIMessageChunk", "name": null, "id": "run-8380c480-3734-4ed2-807d-e0084d16e6ff", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}, {"created_by": "system", "auth": {"account_id": "27c035dc-5642-488d-be44-7a3df4d511eb", "user_id": "307632e9-2cce-48dd-936f-a6001cc7efc7"}, "graph_id": "arc", "run_attempt": 1, "langgraph_version": "0.2.66", "langgraph_plan": "developer", "langgraph_host": "self-hosted", "run_id": "1efd8e68-da10-6d29-acef-38fbb61b444f", "thread_id": "ba3009d8-1e6e-4ddb-94c0-45f336a7b1fe", "assistant_id": "40e7255c-730b-5094-bef3-f1262bc3eb18", "user_id": "", "langgraph_step": 1, "langgraph_node": "supervisor", "langgraph_triggers": ["start:supervisor"], "langgraph_path": ["__pregel_pull", "supervisor"], "langgraph_checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "checkpoint_ns": "supervisor:7b4610df-ca52-c4f1-0064-ae80cc1bb995", "ls_provider": "openai", "ls_model_name": "gpt-4o-mini", "ls_model_type": "chat", "ls_temperature": null}]

event: updates
data: {"supervisor": {"focus_tool": null, "tool": "nymity_ai"}}

event: messages
data: [{"content": "", "additional_kwargs": {"tool_calls": [{"index": 0, "id": "call_nzTcaZU3K4c7n9kLp7rd2QB7", "function": {"arguments": "", "name": "nymity_ai_index_result_json"}, "type": "function"}]}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-f7bb4561-76a9-4fdc-8be4-999e0c94d55b", "example": false, "tool_calls": [{"name": "nymity_ai_index_result_json", "args": {}, "id": "call_nzTcaZU3K4c7n9kLp7rd2QB7", "type": "tool_call"}], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": [{"name": "nymity_ai_index_result_json", "args": "", "id": "call_nzTcaZU3K4c7n9kLp7rd2QB7", "index": 0, "type": "tool_call_chunk"}]}, {"created_by": "system", "auth": {"account_id": "27c035dc-5642-488d-be44-7a3df4d511eb", "user_id": "307632e9-2cce-48dd-936f-a6001cc7efc7"}, "graph_id": "arc", "run_attempt": 1, "langgraph_version": "0.2.66", "langgraph_plan": "developer", "langgraph_host": "self-hosted", "run_id": "1efd8e68-da10-6d29-acef-38fbb61b444f", "thread_id": "ba3009d8-1e6e-4ddb-94c0-45f336a7b1fe", "assistant_id": "40e7255c-730b-5094-bef3-f1262bc3eb18", "user_id": "", "langgraph_step": 1, "langgraph_node": "nymity_ai_supervisor", "langgraph_triggers": ["start:nymity_ai_supervisor"], "langgraph_path": ["__pregel_pull", "nymity_ai_supervisor"], "langgraph_checkpoint_ns": "nymity_ai:39a391a5-a942-8b84-1fca-cacd1712ed4e|nymity_ai_supervisor:0f32aaa2-6d79-9b3e-05ca-8bedf118752a", "checkpoint_ns": "nymity_ai:39a391a5-a942-8b84-1fca-cacd1712ed4e", "ls_provider": "openai", "ls_model_name": "gpt-4o-mini", "ls_model_type": "chat", "ls_temperature": null}]

event: messages
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event: messages
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event: messages
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event: messages
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[vikram-typeset]

I am also facing same issue.

I am using https://langchain-ai.github.io/langgraph/cloud/how-tos/use_stream_react/ and there is not way to filter.