jbaruch/koog
Koog 1.0 idioms, gotchas, and scaffolding skills for Kotlin agents on the JVM
89
89%
Does it follow best practices?
Impact
89%
1.78xAverage score across 47 eval scenarios
Advisory
Suggest reviewing before use
task.mdevals/scenario-42/
See What the Agent Is Doing During a Demo
Problem/Feature Description
A developer is preparing a conference demo of a Koog 1.0 agent. The agent calls several tools during a run. The developer wants the audience to follow along — they want a lightweight stdout surface that shows when each tool begins AND when it completes, so the audience can track the agent's progress in real time on a projector at the back of a room.
They explicitly do NOT want production telemetry — no Langfuse, no OTel collector, no metric dashboards. They just want the lightest-weight thing Koog offers that surfaces per-step activity to the developer's terminal during the demo.
The agent is otherwise unchanged from a basic AIAgent(...) call.
Output Specification
Walk through what to add. Produce the modified agent construction and Gradle dependency change as a single response, labeled.
.gemini
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
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scenario-9
scenario-10
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scenario-22
scenario-23
scenario-24
scenario-25
scenario-26
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scenario-31
scenario-32
scenario-33
scenario-34
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scenario-37
scenario-38
scenario-39
scenario-40
scenario-41
scenario-42
scenario-43
scenario-44
scenario-45
scenario-46
scenario-47
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