jbaruch/koog
Koog 1.0 idioms, gotchas, and scaffolding skills for Kotlin agents on the JVM
86
88%
Does it follow best practices?
Impact
86%
1.86xAverage score across 45 eval scenarios
Advisory
Suggest reviewing before use
task.mdevals/scenario-15/
Wire a Spring Boot App With Two LLM Providers
Problem/Feature Description
A developer maintains a Spring Boot service that currently uses OpenAI for some tasks. They want to keep OpenAI for the existing functionality and add Google as a second provider for a new feature — they'll route between models depending on the task at runtime. Both providers' API keys are in their environment.
The service code currently injects an LLMClient bean directly into one of their services. They mention that's how the previous engineer wrote it.
Output Specification
Walk through what changes are needed to add Google as a second provider, both in configuration and in service code. Produce the modified application.yml and the relevant service code as a single response, labeled.
evals
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skills
add-observability
add-persistence
add-rag
add-structured-output
add-token-budgeting
add-tool
cache-llm-calls
define-prompt
domain-model-subtask-pipeline
references
enable-prompt-caching
handle-agent-events
manage-state
migrate-from-0-x
model-planner-subtasks
persist-chat-history
query-sql-from-agent
scaffold-agent
snapshot-and-restore
test-koog-agents
trace-agent-internals
use-attachments
use-functional-agent
use-llm-node-variants
use-planner
wire-a2a
wire-acp-server
wire-ktor-server
wire-mcp-server
wire-spring-boot