[Tinker API Stage 3] Generator integration with use_tinker_sampling_api feature flag #930
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Add sample() method for generating multiple independent completions from a single prompt. This provides token-in/token-out sampling semantics compatible with Tinker's sampling API. Changes: - Add sample() to InferenceEngineInterface base class with default sequential implementation that calls generate() num_samples times - Add sample() delegation to RayWrappedInferenceEngine - Add sample() to InferenceEngineClient routing to first engine - Add test_sample_api() integration test This is Stage 1 of the Tinker Sampling API implementation. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Stage 2 of Tinker Sampling API implementation: skyrl-tx changes: - Add SkyRLInferenceClient adapter that converts Tinker types to/from skyrl-train's InferenceEngineClient.sample() - Add attach_skyrl_inference() helper for runtime integration skyrl-train changes: - Add test_tinker_api_integration.py with type conversion and sample tests - Add test_tinker_api_e2e.py with end-to-end Tinker flow tests - All 5 tests pass on 8xH200 GPUs This enables skyrl-tx API server to route /api/v1/asample requests to skyrl-train's inference engines via direct Python calls. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
…Stage 3) - Add use_tinker_sampling_api config flag to ppo_base_config.yaml (defaults to false) - Add conditional in SkyRLGymGenerator.agent_loop() to use sample() when flag enabled - Add test_generator_with_tinker_sampling_api test to verify Tinker API path Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Fixes: - Fix sampling_params bug: use current_sampling_params instead of empty dict - Add @pytest.mark.vllm to test_generator_with_tinker_sampling_api - Add TODO for Stage 4 multi-engine routing support in sample() Refactoring: - Refactor test_tinker_api_integration.py to import actual Tinker types from tx.tinker.types - Refactor test_tinker_api_e2e.py to use actual SkyRLInferenceClient methods - Tests now verify the real adapter code, not reimplemented duplicates Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Revert tests to use lightweight duplicated types instead of importing from tx.tinker.types, which pulls in many transitive dependencies (sqlmodel, cloudpathlib, jax) that conflict with skyrl-train's env. Tests now use a local TinkerAdapter class that mirrors the SkyRLInferenceClient conversion logic to verify the integration contract without requiring cross-module dependencies. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
Stage 3 of Tinker Sampling API implementation: Generator integration with opt-in feature flag.
Key changes:
use_tinker_sampling_api: falseconfig option in generator configInferenceEngineClient.sample()instead ofgenerate()in the agent loopBug fixes (from code review):
current_sampling_paramsinstead of empty dict@pytest.mark.vllmmarker to generator testTests:
test_tinker_api_integration.py- Tests type conversion and sample() integrationtest_tinker_api_e2e.py- End-to-end tests simulating full API flowtest_skyrl_gym_generator.py::test_generator_with_tinker_sampling_api- Generator integration testAll 6 GPU tests pass locally.
Dependencies
Test plan
pytest tests/gpu/gpu_ci/test_tinker_api_integration.py -m "vllm" -vpytest tests/gpu/gpu_ci/test_tinker_api_e2e.py -m "vllm" -vpytest tests/gpu/gpu_ci/test_skyrl_gym_generator.py::test_generator_with_tinker_sampling_api -m "vllm" -vNext steps (Stage 4)
sample()(currently routes to engines[0] only)inference_engine_client.py:175-178🤖 Generated with Claude Code