bvolpato opened a new pull request, #37956:
URL: https://github.com/apache/beam/pull/37956
[ML] Add AnthropicModelHandler for direct Claude inference
Adds a `ModelHandler` for Anthropic Claude models using the Messages API,
enabling direct inference in Beam pipelines without requiring Vertex AI or GCP
setup.
This follows the same pattern as the existing `GeminiModelHandler`, which
provides direct Google AI Studio access alongside the Vertex AI-based handler.
The motivation is the same: users should be able to use Claude models with just
an API key, without needing GCP project setup, service accounts, or IAM
configuration.
## Changes
- `anthropic_inference.py` - `AnthropicModelHandler` extending
`RemoteModelHandler`, with `message_from_string` and
`message_from_conversation` request functions, and retry logic for 429/5xx
errors
- `anthropic_inference_test.py` - 15 unit tests covering retry logic,
request functions, model handler, and a full pipeline E2E test with picklable
fakes
- `anthropic_inference_it_test.py` - integration tests for text generation
and multi-turn conversation (requires `ANTHROPIC_API_KEY`)
- `anthropic_tests_requirements.txt` - test dependency declaration
- `pytest.ini` - register the `anthropic_postcommit` marker
- `test-suites/dataflow/common.gradle` - wire `anthropicInferenceTest` into
the `inferencePostCommitIT` suite
## Testing
Unit tests (mock-based, no API key needed):
```
python -m pytest apache_beam/ml/inference/anthropic_inference_test.py -v
```
Integration tests (requires `ANTHROPIC_API_KEY`):
```
ANTHROPIC_API_KEY="..." python -m pytest
apache_beam/ml/inference/anthropic_inference_it_test.py -v
```
All 17 tests pass locally with zero warning suppression flags.
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