langchain-python-quickstart

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🇺🇸

Original

English

🇨🇳

Chinese

Follow the live docs — do not invent an alternate API from memory:

https://docs.langchain.com/oss/python/langchain/quickstart

Fetch that page (Docs MCP or HTTP) and implement what it shows (weather agent +

create_agent

请遵循在线文档——不要凭记忆自行编写替代API：

https://docs.langchain.com/oss/python/langchain/quickstart

获取该页面内容（通过Docs MCP或HTTP）并实现其中展示的功能（天气Agent +

create_agent

）。

Apply these on top of the quickstart (they keep setup minimal and model-agnostic):

Ask which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt:
Which model should this agent use? Pass a
```
provider:model
```
string — e.g.
```
openai:gpt-5.5
```
,
```
anthropic:claude-sonnet-5
```
,
```
google_genai:gemini-2.5-flash-lite
```
. Default if you're unsure: anthropic:claude-sonnet-5
.
Swap the quickstart's model string for their choice (or the default).
Create a new directory (e.g.
```
langchain-agent/
```
) and do all work there — do not pollute the open project.
Only secret: the provider API key in
```
.env
```
(gitignored). No LangSmith / Tavily unless they ask. Prefer they edit
```
.env
```
themselves — don't paste keys into chat.
Install the provider package needed for their model if the quickstart's base install isn't enough.
Run the example, show output, then stop. Point to
```
langchain-fundamentals
```
for next steps.

在快速入门基础上应用以下规则（这些规则能让设置保持最简且与模型无关）：