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Merge branch 'main' into v1

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Sydney Runkle
2025-07-14 12:54:11 -04:00
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parent 5f00938aa2 06f311fffb
commit e0bf4a7bc3
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docs/docs/tutorials/get-started/1-build-basic-chatbot.md
+1 -1
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@@ -63,7 +63,7 @@ Next, add a "`chatbot`" node. **Nodes** represent units of work and are typicall
Let's first select a chat model:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
docs/docs/tutorials/get-started/2-add-tools.md
+2 -2
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@@ -73,7 +73,7 @@ For the `StateGraph` you created in the [first tutorial](./1-build-basic-chatbot
Let's first select our LLM:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
@@ -286,7 +286,7 @@ For ease of use, adjust your code to replace the following with LangGraph prebui
- `BasicToolNode` is replaced with the prebuilt [ToolNode](https://langchain-ai.github.io/langgraph/reference/prebuilt/#toolnode)
- `route_tools` is replaced with the prebuilt [tools_condition](https://langchain-ai.github.io/langgraph/reference/prebuilt/#tools_condition)
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
```python hl_lines="25 30"
docs/docs/tutorials/get-started/3-add-memory.md
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@@ -154,7 +154,7 @@ The snapshot above contains the current state values, corresponding config, and
Check out the code snippet below to review the graph from this tutorial:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
docs/docs/tutorials/get-started/4-human-in-the-loop.md
+2 -2
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@@ -14,7 +14,7 @@ Starting with the existing code from the [Add memory to the chatbot](./3-add-mem
Let's first select a chat model:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
@@ -221,7 +221,7 @@ The input has been received and processed as a tool message. Review this call's
Check out the code snippet below to review the graph from this tutorial:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
```python
from typing import Annotated
docs/docs/tutorials/get-started/5-customize-state.md
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@@ -221,7 +221,7 @@ Manual state updates will [generate a trace](https://smith.langchain.com/public/
Check out the code snippet below to review the graph from this tutorial:
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
docs/docs/tutorials/get-started/6-time-travel.md
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@@ -14,7 +14,7 @@ You can create these types of experiences using LangGraph's built-in **time trav
Rewind your graph by fetching a checkpoint using the graph's `get_state_history` method. You can then resume execution at this previous point in time.
{!snippets/chat_model_tabs.md!}
{% include-markdown "../../../snippets/chat_model_tabs.md" %}
<!---
```python
docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb
+8 -8
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@@ -540,11 +540,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"================================\u001B[1m System Message \u001B[0m================================\n",
"================================\u001b[1m System Message \u001b[0m================================\n",
"\n",
"Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m types:\n",
"\u001B[33;1m\u001B[1;3m{tool_descriptions}\u001B[0m\n",
"\u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m. join(): Collects and combines results from prior actions.\n",
"Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m types:\n",
"\u001b[33;1m\u001b[1;3m{tool_descriptions}\u001b[0m\n",
"\u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m. join(): Collects and combines results from prior actions.\n",
"\n",
" - An LLM agent is called upon invoking join() to either finalize the user query or wait until the plans are executed.\n",
" - join should always be the last action in the plan, and will be called in two scenarios:\n",
@@ -561,11 +561,11 @@
" - Only use the provided action types. If a query cannot be addressed using these, invoke the join action for the next steps.\n",
" - Never introduce new actions other than the ones provided.\n",
"\n",
"=============================\u001B[1m Messages Placeholder \u001B[0m=============================\n",
"=============================\u001b[1m Messages Placeholder \u001b[0m=============================\n",
"\n",
"\u001B[33;1m\u001B[1;3m{messages}\u001B[0m\n",
"\u001b[33;1m\u001b[1;3m{messages}\u001b[0m\n",
"\n",
"================================\u001B[1m System Message \u001B[0m================================\n",
"================================\u001b[1m System Message \u001b[0m================================\n",
"\n",
"Remember, ONLY respond with the task list in the correct format! E.g.:\n",
"idx. tool(arg_name=args)\n",
@@ -605,7 +605,7 @@
" llm: BaseChatModel, tools: Sequence[BaseTool], base_prompt: ChatPromptTemplate\n",
"):\n",
" tool_descriptions = \"\\n\".join(\n",
" f\"{i+1}. {tool.description}\\n\"\n",
" f\"{i + 1}. {tool.description}\\n\"\n",
" for i, tool in enumerate(\n",
" tools\n",
" ) # +1 to offset the 0 starting index, we want it count normally from 1.\n",
docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb
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@@ -378,7 +378,7 @@
"\n",
"async def execute_step(state: PlanExecute):\n",
" plan = state[\"plan\"]\n",
" plan_str = \"\\n\".join(f\"{i+1}. {step}\" for i, step in enumerate(plan))\n",
" plan_str = \"\\n\".join(f\"{i + 1}. {step}\" for i, step in enumerate(plan))\n",
" task = plan[0]\n",
" task_formatted = f\"\"\"For the following plan:\n",
"{plan_str}\\n\\nYou are tasked with executing step {1}, {task}.\"\"\"\n",
docs/docs/tutorials/tnt-llm/tnt-llm.ipynb
+7 -7
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@@ -302,7 +302,7 @@
"def format_docs(docs: List[Doc]) -> str:\n",
" xml_table = \"<conversations>\\n\"\n",
" for doc in docs:\n",
" xml_table += f'<conv_summ id={doc[\"id\"]}>{doc[\"summary\"]}</conv_summ>\\n'\n",
" xml_table += f\"<conv_summ id={doc['id']}>{doc['summary']}</conv_summ>\\n\"\n",
" xml_table += \"</conversations>\"\n",
" return xml_table\n",
"\n",
@@ -311,9 +311,9 @@
" xml = \"<cluster_table>\\n\"\n",
" for label in clusters:\n",
" xml += \" <cluster>\\n\"\n",
" xml += f' <id>{label[\"id\"]}</id>\\n'\n",
" xml += f' <name>{label[\"name\"]}</name>\\n'\n",
" xml += f' <description>{label[\"description\"]}</description>\\n'\n",
" xml += f\" <id>{label['id']}</id>\\n\"\n",
" xml += f\" <name>{label['name']}</name>\\n\"\n",
" xml += f\" <description>{label['description']}</description>\\n\"\n",
" xml += \" </cluster>\\n\"\n",
" xml += \"</cluster_table>\"\n",
" return xml\n",
@@ -600,13 +600,13 @@
" turns.append(\n",
" f\"\"\"\n",
"<human idx={idx}>\n",
"{run.inputs['question']}\n",
"{run.inputs[\"question\"]}\n",
"</human>\"\"\"\n",
" )\n",
" if run.outputs and run.outputs[\"output\"]:\n",
" turns.append(\n",
" f\"\"\"<ai idx={idx+1}>\n",
"{run.outputs['output']}\n",
" f\"\"\"<ai idx={idx + 1}>\n",
"{run.outputs[\"output\"]}\n",
"</ai>\"\"\"\n",
" )\n",
" return {\n",