5fddd9a79c
* feat: add reflect mode to LoComo benchmark and improve reflect agent - Replace think mode with reflect mode in LoComo benchmark using reflect_async with Budget.HIGH - Add --question-index CLI flag to run a single question by its index - Track and display original question index in logs and visualizer - Update visualizer to show reflect mode results Reflect agent improvements: - tool_recall: always fetch chunks (max_chunk_tokens=1000 min, non-optional) - tool_search_observations: use include_source_facts=True instead of separate DB query - Use model_dump() throughout to avoid manual error-prone dict conversion - Enforce minimum 1000 tokens for max_tokens and max_chunk_tokens in _execute_tool - Fix NoneType error when LLM passes null for mental_model_ids/observation_ids arrays - Add non-conversational constraint to system prompt to prevent follow-up questions - Fix recall_fn Callable type hint to include max_chunk_tokens parameter - Fix main.py missing reranker_zeroentropy fields in HindsightConfig constructor * fix: update tests for reflect tool API changes - source_memory_ids -> source_fact_ids in test_search_observations (MemoryFact.model_dump() field name) - Remove proof_count check (not in MemoryFact, was ObservationResult-specific) - Remove max_results param from tool_recall call (no longer supported) - Fix recall_result["count"] -> len(recall_result["memories"]) |
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| .. | ||
| __init__.py | ||
| agent.py | ||
| models.py | ||
| observations.py | ||
| prompts.py | ||
| tools.py | ||
| tools_schema.py | ||