langgraph/docs/docs/snippets/chat_model_tabs.md at a5ce13eb4567aeab476b43a1aeb8e1ad17066ef1

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Eugene YurtsevandGitHub f59a1339c9 chore(docs): Consolidate hooks for copy markdown and notebooks (#5459 )

Consolidating the hooks to avoid duplication of logic

We need this change for consolidating js and python content: we need include-markdown to run as a mkdocs plugin before our pipeline (rather than as markdown extension which runs after our hooks plugin).

2025-07-11 20:44:46 +00:00

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=== "OpenAI"

```shell
pip install -U "langchain[openai]"
```
```python
import os
from langchain.chat_models import init_chat_model

os.environ["OPENAI_API_KEY"] = "sk-..."

llm = init_chat_model("openai:gpt-4.1")
```

👉 Read the [OpenAI integration docs](https://python.langchain.com/docs/integrations/chat/openai/)

=== "Anthropic"

```shell
pip install -U "langchain[anthropic]"
```
```python
import os
from langchain.chat_models import init_chat_model

os.environ["ANTHROPIC_API_KEY"] = "sk-..."

llm = init_chat_model("anthropic:claude-3-5-sonnet-latest")
```

👉 Read the [Anthropic integration docs](https://python.langchain.com/docs/integrations/chat/anthropic/)

=== "Azure"

```shell
pip install -U "langchain[openai]"
```
```python
import os
from langchain.chat_models import init_chat_model

os.environ["AZURE_OPENAI_API_KEY"] = "..."
os.environ["AZURE_OPENAI_ENDPOINT"] = "..."
os.environ["OPENAI_API_VERSION"] = "2025-03-01-preview"

llm = init_chat_model(
    "azure_openai:gpt-4.1",
    azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],
)
```

👉 Read the [Azure integration docs](https://python.langchain.com/docs/integrations/chat/azure_chat_openai/)

=== "Google Gemini"

```shell
pip install -U "langchain[google-genai]"
```
```python
import os
from langchain.chat_models import init_chat_model

os.environ["GOOGLE_API_KEY"] = "..."

llm = init_chat_model("google_genai:gemini-2.0-flash")
```

👉 Read the [Google GenAI integration docs](https://python.langchain.com/docs/integrations/chat/google_generative_ai/)

=== "AWS Bedrock"

```shell
pip install -U "langchain[aws]"
```
```python
from langchain.chat_models import init_chat_model

# Follow the steps here to configure your credentials:
# https://docs.aws.amazon.com/bedrock/latest/userguide/getting-started.html

llm = init_chat_model(
    "anthropic.claude-3-5-sonnet-20240620-v1:0",
    model_provider="bedrock_converse",
)
```

👉 Read the [AWS Bedrock integration docs](https://python.langchain.com/docs/integrations/chat/bedrock/)

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