reasoning-gym-server & cli tool (#154)

* feat: Add initial server structure with configuration, registry, and middleware

* feat: Add chain_sum dataset to experiment registry test

* fix: Update test_registry to use DatasetSpec for composite config validation

* refactor: Update Pydantic config to use json_schema_extra and ConfigDict

* feat: Add Pydantic models for API request/response data

* feat: Implement basic experiment management endpoints with tests

* feat: Implement composite configuration endpoints for experiments

* fix: Add missing DatasetConfigUpdate import in server.py

* refactor: Update dataset config update method to properly merge config updates

* fix: Correctly retrieve current dataset config in composite endpoint

* feat: Add basic CLI structure with experiments and config commands

* feat: Add initial CLI tool with basic experiment management commands

* refactor: Reorganize CLI package structure and fix import paths

* refactor: Implement initial CLI commands for experiment management

* feat: Implement HTTP client for Reasoning Gym server in RGC CLI tool

* fix: Move print statements inside try block to resolve SyntaxError

* fix: Resolve SyntaxError in edit_config function by adding missing except block

* feat: Add default app instance in server module for easier uvicorn startup

* docs: Add README.md with server and RGC tool documentation

* remove unused files

* refactor: Remove unsupported type annotation in registry.py

* refactor: Move ExperimentRegistry to coaching module and add Experiment class

* fix: Add missing CompositeDataset import in test_registry.py

* refactor: Implement lazy ASGI app creation for server initialization

* feat: Add health check command to RGC CLI for server connection

* feat: Add version tracking support to CompositeDataset

* feat: Add DatasetVersionManager for tracking dataset versions

* feat: Add entry_id metadata and score_answer_with_id method to CompositeDataset

* feat: Add entry_id metadata combining version and index

* fix: Resolve undefined variable by storing version_id before use

* test: Add comprehensive unit tests for score_answer_with_id() function

* test: Add comprehensive version tracking test for dataset config updates

* feat: Validate dataset weights are positive in CompositeDataset initialization

* feat: Add weight update and normalization methods to CompositeDataset

* refactor: Centralize weight normalization in CompositeDataset and allow zero-weight datasets

* feat: Add negative weight validation to CompositeDataset constructor

* feat: Add duplicate dataset name check in CompositeDataset and update test

* refactor: Move duplicate dataset name check inside dataset iteration loop

* refactor: Update CompositeDataset weight management to use config as source of truth

* refactor: Move duplicate dataset name check to CompositeConfig.validate()

* test: Update composite dataset weight test assertions and validation

* feat: Add methods to add and remove datasets in CompositeDataset

* refactor: Remove weight normalization and use unnormalized weights directly

* refactor: Remove redundant total weight check in update_dataset_weights

* feat: Add batch generation and scoring endpoints to server

* fix: Import BatchEntry in server.py to resolve undefined name error

* refactor: Update ReasoningGymDataset to use server for batch generation and scoring

* fix: Add missing List and Dict type imports

* feat: Add get_batch() and score_outputs() methods to RGClient

* test: Add unit tests for generate_batch and score_outputs endpoints

* refactor: Add DatasetVersionManager to Experiment class and CompositeDataset constructor

* feat: Add validation for base_index and batch_size in generate_batch endpoint

* refactor: Remove unused BatchRequest type from imports

* refactor: Convert models to use Pydantic exclusively

* test: Update scoring endpoint tests to use correct request model format

* refactor: Rename ScoreItem to AnswerItem and update related code

* feat: Update scoring endpoint to return ordered ScoringResponse with scores and entry_ids

* fix: Add missing ScoringResponse import in server.py

* move verl ppo sample with server into own file

* refactor: Use Pydantic models for get_batch() and score_outputs() in RGClient

* refactor: Update client methods to use Pydantic models for type safety

* refactor: Use Pydantic models for experiment and dataset config operations

* refactor: Clean up duplicate methods and improve error handling in main.py

* first bits of rg server use for verl

* refactor: Optimize scoring with single HTTP request in _score_output

* fix: Correct experiment creation with ExperimentCreate object

* grpo tests with server

tools/server/tests/test_registry.py

@@ -0,0 +1,44 @@
+"""Tests for experiment registry."""
+
+import pytest
+
+from reasoning_gym.arithmetic.chain_sum import ChainSumConfig
+from reasoning_gym.coaching.registry import ExperimentRegistry
+from reasoning_gym.composite import CompositeConfig, CompositeDataset, DatasetSpec
+
+
+def test_singleton():
+    """Test that ExperimentRegistry is a singleton."""
+    registry1 = ExperimentRegistry()
+    registry2 = ExperimentRegistry()
+    assert registry1 is registry2
+
+
+def test_experiment_management():
+    """Test basic experiment management operations."""
+    registry = ExperimentRegistry()
+
+    # Clear any existing experiments
+    for name in registry.list_experiments():
+        registry.remove_experiment(name)
+
+    # Test registration with chain_sum dataset
+    chain_sum_spec = DatasetSpec(name="chain_sum", weight=1.0, config=vars(ChainSumConfig(size=10, seed=42)))
+
+    config = CompositeConfig(size=10, seed=42, datasets=[chain_sum_spec])
+    registry.register_experiment("test_exp", config)
+
+    # Test listing
+    assert "test_exp" in registry.list_experiments()
+
+    # Test retrieval
+    exp = registry.get_experiment("test_exp")
+    assert exp is not None
+    assert exp.name == "test_exp"
+    assert isinstance(exp.dataset, CompositeDataset)
+    assert exp.config == config
+
+    # Test removal
+    assert registry.remove_experiment("test_exp")
+    assert "test_exp" not in registry.list_experiments()
+    assert not registry.remove_experiment("nonexistent")