Unverified50% confidenceFactExact time
Embedding API keys in prompts may lead to leakage through model logs, conversation history, or the training data of third-party models.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedContent passed when calling public APIs is often collected by service providers as training data for subsequent model iteration, which is why enterprise-level applications need to intercept sensitive information through a gateway.76% similarUnverifiedTraditional programming agent training data relies on three source types: manually annotated benchmarks, open-source repository issues, and historical commit records.73% similarUnverifiedThe session log is Harness's "source of truth," and system prompts, model outputs, tool calls and results, sub-agent scheduling, and context injection can all be replayed along the event stream71% similarUnverifiedMainstream model APIs charge separately for input tokens and output tokens, where input includes system prompts, context history, and retrieved document fragments71% similarUnverifiedHaving the model call external APIs via Tool Use to obtain real-time information such as the current date can avoid reliance on model memory.68% similar
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