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auto-save 2026-05-17 13:23 (~2)

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kang
2026-05-17 13:23:56 +08:00
parent f2742df3c6
commit 6d684e058f
2 changed files with 10 additions and 7 deletions
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14
.memory/worklog.json
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@@ -1,12 +1,5 @@
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{
"files_changed": 1,
"hash": "e576fa1",
"message": "auto-save 2026-05-14 18:05 (~1)",
"ts": "2026-05-14T18:05:20+08:00",
"type": "commit"
},
{ {
"files_changed": 1, "files_changed": 1,
"message": "Codex 会话活跃 · 最近命令：codex · 1 项未提交变更 · 最近提交：auto-save 2026-05-14 18:05 (~1)", "message": "Codex 会话活跃 · 最近命令：codex · 1 项未提交变更 · 最近提交：auto-save 2026-05-14 18:05 (~1)",
@@ -3269,6 +3262,13 @@
"type": "session-heartbeat", "type": "session-heartbeat",
"message": "Codex 会话活跃 · 最近命令：codex · 分支 main · 5 项未提交变更 · 最近提交：auto-save 2026-05-17 13:13 (~6)", "message": "Codex 会话活跃 · 最近命令：codex · 分支 main · 5 项未提交变更 · 最近提交：auto-save 2026-05-17 13:13 (~6)",
"files_changed": 5 "files_changed": 5
},
{
"ts": "2026-05-17T13:18:29+08:00",
"type": "commit",
"message": "auto-save 2026-05-17 13:18 (~5)",
"hash": "f2742df",
"files_changed": 5
} }
] ]
} }

3
api/main.py
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@@ -43,6 +43,7 @@ LLM_BASE_URL = os.getenv("LLM_BASE_URL", "").strip()
LLM_API_KEY = os.getenv("LLM_API_KEY", "").strip() LLM_API_KEY = os.getenv("LLM_API_KEY", "").strip()
ASR_MODEL = os.getenv("ASR_MODEL", "whisper-1") ASR_MODEL = os.getenv("ASR_MODEL", "whisper-1")
ASR_FALLBACK_MODEL = os.getenv("ASR_FALLBACK_MODEL", "gemini-2.5-flash").strip() or "gemini-2.5-flash" ASR_FALLBACK_MODEL = os.getenv("ASR_FALLBACK_MODEL", "gemini-2.5-flash").strip() or "gemini-2.5-flash"
ASR_TIMEOUT_SECONDS = max(15, int(os.getenv("ASR_TIMEOUT_SECONDS", "45")))
TRANSLATE_MODEL = os.getenv("TRANSLATE_MODEL", "gemini-2.5-flash") TRANSLATE_MODEL = os.getenv("TRANSLATE_MODEL", "gemini-2.5-flash")
REWRITE_MODEL = os.getenv("REWRITE_MODEL", "gemini-2.5-pro") REWRITE_MODEL = os.getenv("REWRITE_MODEL", "gemini-2.5-pro")
VISION_MODEL = os.getenv("VISION_MODEL", "gemini-2.5-flash") VISION_MODEL = os.getenv("VISION_MODEL", "gemini-2.5-flash")
@@ -1752,6 +1753,7 @@ def _transcribe_gemini_sync(wav: Path) -> list[dict]:
{"type": "input_audio", "input_audio": {"data": audio_b64, "format": "wav"}}, {"type": "input_audio", "input_audio": {"data": audio_b64, "format": "wav"}},
]}], ]}],
temperature=0, temperature=0,
timeout=ASR_TIMEOUT_SECONDS,
) )
content = (resp.choices[0].message.content or "").strip() content = (resp.choices[0].message.content or "").strip()
return _parse_asr_segments(content, duration) return _parse_asr_segments(content, duration)
@@ -1771,6 +1773,7 @@ def _transcribe_sync(wav: Path) -> list[dict]:
model=ASR_MODEL, model=ASR_MODEL,
response_format="verbose_json", response_format="verbose_json",
timestamp_granularities=["segment"], timestamp_granularities=["segment"],
timeout=ASR_TIMEOUT_SECONDS,
) )
raw = resp.model_dump() if hasattr(resp, "model_dump") else resp raw = resp.model_dump() if hasattr(resp, "model_dump") else resp
segments = raw.get("segments") or [] segments = raw.get("segments") or []