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https://github.com/langchain-ai/langgraph.git
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docs: update streaming example (#1321)
* docs: update streaming example
This commit is contained in:
@@ -14,9 +14,24 @@
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"Below is a simple toy example."
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]
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},
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{
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"cell_type": "markdown",
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"id": "95301021-1db9-426f-807c-ec5b37bd5a9d",
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"metadata": {},
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"source": [
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"<div class=\"admonition warning\">\n",
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" <p class=\"admonition-title\">ASYNC IN PYTHON<=3.10</p>\n",
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" <p>\n",
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"Any Langchain RunnableLambda, a RunnableGenerator, or Tool that invokes other runnables and is running async in python<=3.10, will have to propagate callbacks to child objects manually. This is because LangChain cannot automatically propagate callbacks to child objects in this case.\n",
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" \n",
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"This is a common reason why you may fail to see events being emitted from custom runnables or tools.\n",
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" </p>\n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 1,
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"id": "486a01a0",
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"metadata": {},
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"outputs": [],
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@@ -51,7 +66,10 @@
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" messages = []\n",
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" # Tagging a node makes it easy to filter out which events to include in your stream\n",
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" # It's completely optional, but useful if you have many functions with similar names\n",
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" gen = RunnableGenerator(my_generator).with_config(tags=[\"should_stream\"])\n",
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" gen = RunnableGenerator(my_generator).with_config(\n",
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" tags=[\"should_stream\"],\n",
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" callbacks=config.get(\"callbacks\", []) # <-- Propagate callbacks (Python <= 3.10)\n",
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" )\n",
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" async for message in gen.astream(state):\n",
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" messages.append(message)\n",
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" return {\"messages\": [AIMessage(content=\" \".join(messages))]}\n",
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@@ -65,7 +83,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 2,
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"id": "ce773a40",
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"metadata": {},
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"outputs": [
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@@ -80,7 +98,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/harrisonchase/.pyenv/versions/3.11.1/envs/permchain/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
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"/Users/vadymbarda/.virtualenvs/langgraph/lib/python3.11/site-packages/langchain_core/_api/beta_decorator.py:87: LangChainBetaWarning: This API is in beta and may change in the future.\n",
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" warn_beta(\n"
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]
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}
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@@ -89,7 +107,7 @@
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"from langchain_core.messages import HumanMessage\n",
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"\n",
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"inputs = [HumanMessage(content=\"What are you thinking about?\")]\n",
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"async for event in app.astream_events({\"messages\": inputs}, version=\"v1\"):\n",
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"async for event in app.astream_events({\"messages\": inputs}, version=\"v2\"):\n",
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" kind = event[\"event\"]\n",
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" tags = event.get(\"tags\", [])\n",
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" if kind == \"on_chain_stream\" and \"should_stream\" in tags:\n",
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@@ -104,7 +122,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2c7b7902-2d80-4bf9-91c1-737b749e58a3",
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"id": "615cb9d2-bfa2-4f83-90b0-c6c2d1e6df95",
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"metadata": {},
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"outputs": [],
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"source": []
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@@ -112,9 +130,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "langgraph",
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"language": "python",
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"name": "python3"
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"name": "langgraph"
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},
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"language_info": {
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"codemirror_mode": {
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@@ -126,7 +144,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.1"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,
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