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Re-Introduced a unified
Backendinterface and implemented dedicated backend handlers for gemini, ollama, and vercel, allowing for flexible local and remote model execution.Enhanced CLI Configuration: Updated the CLI commands (runevals and webmcpevals) and internal configuration objects to accept explicit --backend (e.g., gemini, ollama, vercel) and --provider (e.g., google, openai) flags.
Resolved Vercel AI SDK Multi-Turn Crashes: Fixed the AI_InvalidPromptError encountered during multi-turn evaluations by updating the message mappers (
src/evaluator/mappers.ts)Temp Browser Execution Guardrails: Added runtime validation to ensure
executeInBrowserEvalsstrictly enforces the use of the vercel backend, as it relies heavily on the Vercel AI SDK's DOM bridging and ToolLoopAgent.