BattleTag/MASForensic
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093f3cec1f2332d2e3e1436beb7e49b51f3ee7cc
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4 Commits

Author SHA1 Message Date
BattleTag
444d58726a refactor: native tool calling + generic forced-retry + terminal exit 
- llm_client: switch tool_call_loop from text-based <tool_call> regex
  to OpenAI-native tools=[...] / structured tool_calls field; accumulate
  delta.reasoning_content for DeepSeek thinking-mode echo-back; fold
  preserves system msg and aligns boundary to never orphan role:tool
- base_agent: generic forced-retry via mandatory_record_tools class attr
  (filesystem -> add_phenomenon, timeline -> add_temporal_edge,
  hypothesis -> add_hypothesis, report -> save_report); count via
  executor wrapper
- terminal_tools class attr + loop short-circuit: when a terminal tool
  is called, loop exits with its raw return as final_text. ReportAgent
  declares save_report as terminal - replaces the <answer>-tag stop
  signal that native tool calling broke
- _execute_*: return (raw, formatted) - terminal exit uses untruncated
  raw, conversation history uses 3000-char-capped formatted
- evidence_graph + orchestrator: LLM-derived InvestigationArea support
  (hypothesis-driven coverage check, replaces hardcoded _AREA_KEYWORDS /
  _AREA_TOOLS); manual yaml block kept as optional seed
- strip <answer> references from agent prompts (no longer load-bearing)

Verified on CFReDS image across 4 smoke runs: 0 JSON parse failures
(was 3); 22 temporal edges from Phase 4 (was 0); ReportAgent exits via
save_report (was max_iterations regression). 78/78 unit tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-13 13:51:19 +08:00
BattleTag
76df34ed79 docs: add TODO marker for adaptive edge weights 
Note that the hard-coded HYPOTHESIS_EDGE_WEIGHTS table is a temporary
choice; an adaptive scheme should be explored once the full pipeline
is stable.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-12 17:14:23 +08:00
BattleTag
fde96c7d9f docs: rewrite README for EvidenceGraph + 5-phase + 7-agent architecture 
Previous README described a Blackboard-based 4-phase, 6-agent system.
The actual code uses:
- EvidenceGraph with typed weighted edges (Phenomenon/Hypothesis/Entity)
- 5 phases (explicit Hypothesis Generation between survey and investigation)
- 7 agents (added HypothesisAgent)

Documents the confidence update formula, Phenomenon Jaccard merging,
Asset Library inode dedup, tool-result caching, Gap Analysis coverage
check, auto-persistence, and the resume mechanism.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-12 14:09:59 +08:00
BattleTag
097d2ce472 Initial commit 
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-09 17:36:26 +08:00