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fix(openai): count compatible cache reads #1662
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🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick win
🔎 Supported by static analysis
🏁 Script executed:
Repository: Zoo-Code-Org/Zoo-Code
Length of output: 48532
🌐 Web query:
site:platform.openai.com/docs/api-reference "cached_tokens" "prompt_tokens_details"💡 Result:
The exact search returned no result. OpenAI’s API docs use
input_tokens_details, notprompt_tokens_details, for Responses API usage:{ "usage": { "input_tokens": 1000, "input_tokens_details": { "cached_tokens": 800 }, "output_tokens": 200, "total_tokens": 1200 } }cached_tokensis the number of input tokens retrieved from the prompt cache. (platform.openai.com)Citations:
🏁 Script executed:
Repository: Zoo-Code-Org/Zoo-Code
Length of output: 7457
🤖 get_repo_knowledge executed:
get_repo_knowledge Zoo-Code-Org/Zoo-Code /tmp/coderabbit-repo-knowledge/zoo-code-org-zoo-code-6665e61c/learningsLength of output: 4902
🌐 Web query:
site:platform.openai.com/docs/api-reference OpenAI usage cached_tokens integer number input_tokens_details prompt_tokens_details cache_read_input_tokens💡 Result:
OpenAI uses different field names depending on the API:
usage.input_tokens_details.cached_tokens— cached input tokens retrieved from the prompt cache. [1]usage.prompt_tokens_details.cached_tokens— cached prompt tokens. [2]input_cached_tokens— aggregated cached input tokens for a time bucket. [3]integerindicates the value is a whole-number token count.Reject fractional cached token counts.
Both
cache_read_input_tokensandprompt_tokens_details.cached_tokenscan provide a finite fractional value. The provider emits it ascacheReadTokens; task aggregation then passes it tocalculateApiCostOpenAI, which uses it for cache-rate cost accounting. OpenAI defines cached-token counters as integers.typeof reportedCacheReadTokens === "number" && Number.isFinite(reportedCacheReadTokens) && + Number.isInteger(reportedCacheReadTokens) && reportedCacheReadTokens >= 0 &&Add
["fractional", 10.5]to the invalid-value cases in both response modes.🤖 Prompt for AI Agents