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# Anthropic Foundry
To use this library with Foundry, use the `AnthropicFoundry` class instead of the `Anthropic` class.
## Installation
```bash
pip install anthropic
```
## Usage
### Basic Usage with API Key
```python
from anthropic import AnthropicFoundry
client = AnthropicFoundry(
api_key="...", # defaults to ANTHROPIC_FOUNDRY_API_KEY environment variable
resource="my-resource", # your Foundry resource
)
message = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello!"}],
)
print(message.content[0].text)
```
### Using Azure AD Token Provider
For enhanced security, you can use Azure AD (Microsoft Entra) authentication instead of an API key:
```python
from anthropic import AnthropicFoundry
from azure.identity import DefaultAzureCredential
from azure.identity import get_bearer_token_provider
credential = DefaultAzureCredential()
token_provider = get_bearer_token_provider(
credential,
"https://ai.azure.com/.default"
)
client = AnthropicFoundry(
azure_ad_token_provider=token_provider,
resource="my-resource",
)
message = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello!"}],
)
print(message.content[0].text)
```
## Examples
### Streaming Messages
```python
from anthropic import AnthropicFoundry
client = AnthropicFoundry(
api_key="...",
resource="my-resource",
)
with client.messages.stream(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Write a haiku about programming"}],
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
```
### Async Usage
```python
from anthropic import AsyncAnthropicFoundry
async def main():
client = AsyncAnthropicFoundry(
api_key="...",
resource="my-resource",
)
message = await client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello!"}],
)
print(message.content[0].text)
import asyncio
asyncio.run(main())
```
### Async Streaming
```python
from anthropic import AsyncAnthropicFoundry
async def main():
client = AsyncAnthropicFoundry(
api_key="...",
resource="my-resource",
)
async with client.messages.stream(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{"role": "user", "content": "Write a haiku about programming"}],
) as stream:
async for text in stream.text_stream:
print(text, end="", flush=True)
import asyncio
asyncio.run(main())
```