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feat (DATAGO-118799): docs for prompt caching#631
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This pull request adds comprehensive documentation on prompt caching and token usage breakdown in Agent Mesh. The new docs explain how prompt caching works, how it is configured, its impact on latency and costs, and provide detailed estimates and strategies for optimizing token usage and cost. These additions help users understand and optimize their LLM configurations for efficiency and cost savings.
Prompt Caching Documentation:
prompt-caching.md, detailing how prompt caching works in Agent Mesh, including configuration options, what gets cached (system instructions and tool definitions), provider support, best practices, and troubleshooting tips.Token Usage and Cost Optimization:
token-usage-breakdown.md, with a detailed breakdown of what is sent to the LLM per request, approximate token counts for each component, how prompt caching affects token usage and costs, and strategies for reducing token consumption. Includes tables, illustrative examples, and provider-specific caching behaviors.