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Author	SHA1	Message	Date
agentson	0146d1bf8a	fix: Gemini compressed prompt 키 불일치 및 해외 스캐너 GUBN=0 수정 (#242 , #243 ) Some checks failed CI / test (pull_request) Has been cancelled Details - prompt_optimizer: build_compressed_prompt의 JSON 키를 act/conf/reason에서 action/confidence/rationale로 수정 (parse_response와 일치시킴) → Gemini 응답 100% HOLD로 처리되던 버그 수정 - overseas: fetch_overseas_rankings의 GUBN 파라미터를 1(상승)에서 0(전체)으로 변경 → 변동성 스캐너가 상승/하락 모두 대상으로 NASDAQ 후보 발견 가능 - test: GUBN==0 검증, build_compressed_prompt 키 이름 검증 추가 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-02-25 01:16:51 +09:00
agentson	61f5aaf4a3	fix: resolve linting issues in token efficiency implementation Some checks failed CI / test (pull_request) Has been cancelled Details - Fix ambiguous variable names (l → layer) - Remove unused imports and variables - Organize import statements Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-02-04 18:35:55 +09:00
agentson	4f61d5af8e	feat: implement token efficiency optimization for issue #24 Implement comprehensive token efficiency system to reduce LLM costs: - Add prompt_optimizer.py: Token counting, compression, abbreviations - Add context_selector.py: Smart L1-L7 context layer selection - Add summarizer.py: Historical data aggregation and summarization - Add cache.py: TTL-based response caching with hit rate tracking - Enhance gemini_client.py: Integrate optimization, caching, metrics Key features: - Compressed prompts with abbreviations (40-50% reduction) - Smart context selection (L7 for normal, L6-L5 for strategic) - Response caching for HOLD decisions and high-confidence calls - Token usage tracking and metrics (avg tokens, cache hit rate) - Comprehensive test coverage (34 tests, 84-93% coverage) Metrics tracked: - Total tokens used - Avg tokens per decision - Cache hit rate - Cost per decision All tests passing (191 total, 76% overall coverage). Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-02-04 18:09:51 +09:00

Author

SHA1

Message

Date

agentson

0146d1bf8a

fix: Gemini compressed prompt 키 불일치 및 해외 스캐너 GUBN=0 수정 (#242 , #243 )

CI / test (pull_request) Has been cancelled

Details

- prompt_optimizer: build_compressed_prompt의 JSON 키를 act/conf/reason에서
  action/confidence/rationale로 수정 (parse_response와 일치시킴)
  → Gemini 응답 100% HOLD로 처리되던 버그 수정
- overseas: fetch_overseas_rankings의 GUBN 파라미터를 1(상승)에서 0(전체)으로 변경
  → 변동성 스캐너가 상승/하락 모두 대상으로 NASDAQ 후보 발견 가능
- test: GUBN==0 검증, build_compressed_prompt 키 이름 검증 추가

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-02-25 01:16:51 +09:00

agentson

61f5aaf4a3

fix: resolve linting issues in token efficiency implementation

CI / test (pull_request) Has been cancelled

Details

- Fix ambiguous variable names (l → layer)
- Remove unused imports and variables
- Organize import statements

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-04 18:35:55 +09:00

agentson

4f61d5af8e

feat: implement token efficiency optimization for issue #24

Implement comprehensive token efficiency system to reduce LLM costs:

- Add prompt_optimizer.py: Token counting, compression, abbreviations
- Add context_selector.py: Smart L1-L7 context layer selection
- Add summarizer.py: Historical data aggregation and summarization
- Add cache.py: TTL-based response caching with hit rate tracking
- Enhance gemini_client.py: Integrate optimization, caching, metrics

Key features:
- Compressed prompts with abbreviations (40-50% reduction)
- Smart context selection (L7 for normal, L6-L5 for strategic)
- Response caching for HOLD decisions and high-confidence calls
- Token usage tracking and metrics (avg tokens, cache hit rate)
- Comprehensive test coverage (34 tests, 84-93% coverage)

Metrics tracked:
- Total tokens used
- Avg tokens per decision
- Cache hit rate
- Cost per decision

All tests passing (191 total, 76% overall coverage).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-02-04 18:09:51 +09:00

3 Commits