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feat: add docs translations (#5552)

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Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Tat Dat Duong <david@duong.cz>
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Hunter Lovell
2025-07-30 02:18:30 +00:00
committed by GitHub
co-authored by Eugene Yurtsev Tat Dat Duong
parent 72e418e4d0
commit d59091672f
89 changed files with 21412 additions and 2131 deletions
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docs/docs/tutorials/multi_agent/agent_supervisor.md
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@@ -306,7 +306,7 @@ Name: math_agent
## 2. Create supervisor with `langgraph-supervisor`
To implement out multi-agent system, we will use [`create_supervisor`][langgraph_supervisor.supervisor.create_supervisor] from the prebuilt `langgraph-supervisor` library:
To implement out multi-agent system, we will use @[`create_supervisor`][create_supervisor] from the prebuilt `langgraph-supervisor` library:
```python
from langgraph_supervisor import create_supervisor
@@ -478,7 +478,7 @@ assign_to_math_agent = create_handoff_tool(
### Create supervisor agent
Then, let's create the supervisor agent with the handoff tools we just defined. We will use the prebuilt [`create_react_agent`][langgraph.prebuilt.chat_agent_executor.create_react_agent]:
Then, let's create the supervisor agent with the handoff tools we just defined. We will use the prebuilt @[`create_react_agent`][create_react_agent]:
```python
supervisor_agent = create_react_agent(
@@ -654,7 +654,7 @@ Name: tavily_search
!!! important
You can see that the supervisor system appends **all** of the individual agent messages (i.e., their internal tool-calling loop) to the full message history. This means that on every supervisor turn, supervisor agent sees this full history. If you want more control over:
* **how inputs are passed to agents**: you can use LangGraph [`Send()`][langgraph.types.Send] primitive to directly send data to the worker agents during the handoff. See the [task delegation](#4-create-delegation-tasks) example below
* **how inputs are passed to agents**: you can use LangGraph @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. See the [task delegation](#4-create-delegation-tasks) example below
* **how agent outputs are added**: you can control how much of the agent's internal message history is added to the overall supervisor message history by wrapping the agent in a separate node function:
```python
@@ -742,7 +742,7 @@ supervisor_with_description = (
```
!!! note
We're using [`Send()`][langgraph.types.Send] primitive in the `handoff_tool`. This means that instead of receiving the full `supervisor` graph state as input, each worker agent only sees the contents of the `Send` payload. In this example, we're sending the task description as a single "human" message.
We're using @[`Send()`][Send] primitive in the `handoff_tool`. This means that instead of receiving the full `supervisor` graph state as input, each worker agent only sees the contents of the `Send` payload. In this example, we're sending the task description as a single "human" message.
Let's now running it with the same input query: