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[fix] (LLM Token 获取) 增加对获取不到 token 各个字段的情况的处理，每部分失败后使用默认值 0

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This commit is contained in:
SXP-Simon
2025-09-09 18:41:55 +08:00
parent 394b0a5243
commit f2b45a4fdf
2 changed files with 12 additions and 12 deletions
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src/analysis/llm_analyzer.py
+9 -9
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@@ -118,9 +118,9 @@ class LLMAnalyzer:
token_usage = TokenUsage()
if response.raw_completion and hasattr(response.raw_completion, 'usage'):
usage = response.raw_completion.usage
token_usage.prompt_tokens = usage.prompt_tokens
token_usage.completion_tokens = usage.completion_tokens
token_usage.total_tokens = usage.total_tokens
token_usage.prompt_tokens = usage.prompt_tokens if usage.prompt_tokens else 0
token_usage.completion_tokens = usage.completion_tokens if usage.completion_tokens else 0
token_usage.total_tokens = usage.total_tokens if usage.total_tokens else 0
# 解析响应
if hasattr(response, 'completion_text'):
@@ -343,9 +343,9 @@ class LLMAnalyzer:
token_usage = TokenUsage()
if response.raw_completion and hasattr(response.raw_completion, 'usage'):
usage = response.raw_completion.usage
token_usage.prompt_tokens = usage.prompt_tokens
token_usage.completion_tokens = usage.completion_tokens
token_usage.total_tokens = usage.total_tokens
token_usage.prompt_tokens = usage.prompt_tokens if usage.prompt_tokens else 0
token_usage.completion_tokens = usage.completion_tokens if usage.completion_tokens else 0
token_usage.total_tokens = usage.total_tokens if usage.total_tokens else 0
# 解析响应
if hasattr(response, 'completion_text'):
@@ -444,9 +444,9 @@ class LLMAnalyzer:
token_usage = TokenUsage()
if response.raw_completion and hasattr(response.raw_completion, 'usage'):
usage = response.raw_completion.usage
token_usage.prompt_tokens = usage.prompt_tokens
token_usage.completion_tokens = usage.completion_tokens
token_usage.total_tokens = usage.total_tokens
token_usage.prompt_tokens = usage.prompt_tokens if usage.prompt_tokens else 0
token_usage.completion_tokens = usage.completion_tokens if usage.completion_tokens else 0
token_usage.total_tokens = usage.total_tokens if usage.total_tokens else 0
# 解析响应
if hasattr(response, 'completion_text'):