Add GEVal logprob artifacts for OpenAI and Fireworks

[benjibc]

Summary

• point the local filesystem dataset logger at the shared directory utils so it can be imported without sqlite
• update the GEval logprob example to run with a filesystem logger and Fireworks/OpenAI completion parameters
• capture JSONL artifacts from running the example with OpenAI and Fireworks models

Testing

• HOME=/workspace/python-sdk/.ep_home_openai EP_COMPLETION_PARAMS='[{"model":"gpt-3.5-turbo","logprobs":true,"top_logprobs":3}]' python -m pytest examples/deepeval/test_geval_with_logprobs.py -k test_geval_with_logprobs -vv --disable-warnings --maxfail=1
• HOME=/workspace/python-sdk/.ep_home_fireworks EP_COMPLETION_PARAMS='[{"model":"accounts/fireworks/models/qwen3-8b","logprobs":true,"api_base":"https://api.fireworks.ai/inference/v1","custom_llm_provider":"fireworks_ai"}]' python -m pytest examples/deepeval/test_geval_with_logprobs.py -k test_geval_with_logprobs -vv --disable-warnings --maxfail=1
• pre-commit run --files eval_protocol/dataset_logger/local_fs_dataset_logger_adapter.py examples/deepeval/test_geval_with_logprobs.py

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Codex Task

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Note

Introduces first-class support for capturing and persisting provider logprobs, plus a runnable GEval example and artifacts.

• Adds Message.logprobs (excluded from request payload) and updates model validation/snapshots
• SingleTurnRolloutProcessor now serializes provider-specific logprobs and stores them on the assistant Message
• New examples/deepeval/test_geval_with_logprobs.py using LocalFSDatasetLoggerAdapter; adds JSONL artifacts for OpenAI/Fireworks
• Points filesystem logger to shared eval_protocol.directory_utils
• Tests: new unit test verifies logprobs capture; snapshot updates for added logprobs field

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