feat: Implement well-known typed fields for verdicts in output models
agharsallah
ce159dc
- Introduced `_well_known_specs` function to define typed fields for `winner` and `scores` in agent output.
- Updated `build_output_model` to handle new field types, allowing `winner` to be optional and `scores` to default to an empty map.
- Enhanced `json_instruction` to provide specific hints for well-known fields in the output format.
- Modified `FishbowlSession` to derive `winner_kind` and `winning_models` based on verdicts, supporting team-based outcomes.
- Added validation tests for new competition configurations and verdict handling, ensuring proper behavior for both agent and team winners.
- Created comprehensive tests for the new verdict validation logic, including re-ask scenarios and score normalization.
feat: Enhance model routing and deployment flexibility
agharsallah
c1656a8
- Introduced `vllm_version` to allow per-model inference stack pinning, enabling models to opt for nightly builds when necessary.
- Updated image building logic to handle model-specific vLLM versions, ensuring compatibility with various architectures.
- Added `model_endpoint` to `AgentManifest` for explicit model binding, allowing agents to route to specific models instead of relying solely on profiles.
- Enhanced `ModelRouter` to resolve specific catalogue models, improving routing accuracy and flexibility.
- Updated UI components in the Fishbowl Lab to support new model selection features, ensuring only deployable models are presented.
- Improved tests to validate new model selection and routing behaviors, ensuring robustness and adherence to expected functionality.
Refactor code structure for improved readability and maintainability
