master

Roman-Andrfeat(llm-client): thread cached input tokens through Usage into trace spans

02471552创建于 22 天前历史提交

文件	最后提交记录	最后更新时间
error.rs	fmt: Clean up fmt problem Signed-off-by: Keqian Zhu <zhukeqian1@huawei.com>	2 个月前
hook_types.rs	feat: initial commit with core features	2 个月前
message.rs	optimize: add proactive token estimation and config validation with URL optimization Co-Authored-By: GLM-5	26 天前
mod.rs	feat: add reasoning effort configuration to CLI and related components - Introduced ReasoningEffort enum to manage reasoning effort levels (Off, High, Max). - Updated CLI commands to accept reasoning_effort as an argument. - Enhanced configuration structures and session management to include reasoning effort. - Modified various components to utilize the new reasoning effort settings, ensuring consistent behavior across the application. - Added default values and serialization support for reasoning effort in relevant structs.	1 个月前
request.rs	feat: add reasoning effort configuration to CLI and related components - Introduced ReasoningEffort enum to manage reasoning effort levels (Off, High, Max). - Updated CLI commands to accept reasoning_effort as an argument. - Enhanced configuration structures and session management to include reasoning effort. - Modified various components to utilize the new reasoning effort settings, ensuring consistent behavior across the application. - Added default values and serialization support for reasoning effort in relevant structs.	1 个月前
response.rs	feat(llm-client): thread cached input tokens through Usage into trace spans Account for cache-read tokens end to end: - Usage carries cached_tokens (OpenAI prompt_tokens_details.cached_tokens; Anthropic cache_read_input_tokens), threaded into LLM_CALL / TURN trace spans. - Anthropic marks cache_control ephemeral on the stable system-prefix block ONLY, never the volatile Context block, so the breakpoint is read back across turns instead of being rewritten every turn. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	22 天前