From 56dd7289751b115197e3ab898e271000a4e5081d Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 26 Feb 2025 12:22:22 -0500 Subject: [PATCH] docs: remove one more beta (#3601) --- docs/docs/tutorials/workflows/index.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/docs/tutorials/workflows/index.md b/docs/docs/tutorials/workflows/index.md index 491af59c2..d3c61eee3 100644 --- a/docs/docs/tutorials/workflows/index.md +++ b/docs/docs/tutorials/workflows/index.md @@ -184,7 +184,7 @@ As noted in the [Anthropic blog](https://www.anthropic.com/research/building-eff See our lesson on Prompt Chaining [here](https://github.com/langchain-ai/langchain-academy/blob/main/module-1/chain.ipynb). -=== "Functional API (beta)" +=== "Functional API" ```python from langgraph.func import entrypoint, task @@ -335,7 +335,7 @@ With parallelization, LLMs work simultaneously on a task: See our lesson on parallelization [here](https://github.com/langchain-ai/langchain-academy/blob/main/module-1/simple-graph.ipynb). -=== "Functional API (beta)" +=== "Functional API" ```python @task @@ -524,7 +524,7 @@ Routing classifies an input and directs it to a followup task. As noted in the [ [Here](https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_adaptive_rag_local/) is RAG workflow that routes questions. See our video [here](https://www.youtube.com/watch?v=bq1Plo2RhYI). -=== "Functional API (beta)" +=== "Functional API" ```python from typing_extensions import Literal @@ -761,7 +761,7 @@ With orchestrator-worker, an orchestrator breaks down a task and delegates each [Here](https://github.com/langchain-ai/report-mAIstro) is a project that uses orchestrator-worker for report planning and writing. See our video [here](https://www.youtube.com/watch?v=wSxZ7yFbbas). -=== "Functional API (beta)" +=== "Functional API" ```python from typing import List @@ -952,7 +952,7 @@ In the evaluator-optimizer workflow, one LLM call generates a response while ano [Here](https://langchain-ai.github.io/langgraph/tutorials/rag/langgraph_adaptive_rag_local/) is a RAG workflow that grades answers for hallucinations or errors. See our video [here](https://www.youtube.com/watch?v=bq1Plo2RhYI). -=== "Functional API (beta)" +=== "Functional API" ```python # Schema for structured output to use in evaluation @@ -1161,7 +1161,7 @@ llm_with_tools = llm.bind_tools(tools) [Here](https://github.com/langchain-ai/memory-agent) is a project that uses a tool calling agent to create / store long-term memories. -=== "Functional API (beta)" +=== "Functional API" ```python from langgraph.graph import add_messages @@ -1270,4 +1270,4 @@ LangGraph provides several ways to stream workflow / agent outputs or intermedia ### Deployment -LangGraph provides an easy on-ramp for deployment, observability, and evaluation. See [module 6](https://github.com/langchain-ai/langchain-academy/tree/main/module-6) of LangChain Academy. \ No newline at end of file +LangGraph provides an easy on-ramp for deployment, observability, and evaluation. See [module 6](https://github.com/langchain-ai/langchain-academy/tree/main/module-6) of LangChain Academy.