cli-a2a
無料Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
日本語の概要は準備中です。原文の説明を表示しています。
Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.
npm install -g omniroute # or: npx omniroute
omniroute --version
evalExample:
omniroute eval
eval suitesExample:
omniroute eval suites
eval listExample:
omniroute eval list
eval get <suiteId>Example:
omniroute eval get <suiteId>
eval createFlags:
--file <path>Example:
omniroute eval create
eval run <suiteId>Flags:
-m, --model <id>--combo <name>--concurrency <n>--tag <tag>--watchExample:
omniroute eval run <suiteId>
eval listFlags:
--suite <id>--status <s>--since <ts>--limit <n>Example:
omniroute eval list
eval get <runId>Example:
omniroute eval get <runId>
eval results <runId>Flags:
--failedExample:
omniroute eval results <runId>
eval cancel <runId>Flags:
--yesExample:
omniroute eval cancel <runId>
eval scorecard <runId>Example:
omniroute eval scorecard <runId>
simulate [prompt]Flags:
--file <path>-m, --model <id>--combo <name>--reasoning-effort <level>--thinking-budget <n>--explainExample:
omniroute simulate [prompt]
<!-- skill:custom-start -->
<!-- Migrated from skills/omniroute-cli-eval/SKILL.md (preserved curated content) -->
Requires the omniroute CLI. See CLI entry-point skill for install + global flags.
Evals are automated test suites that score LLM outputs against expected answers or rubrics. OmniRoute stores suites and run results in its local database.
omniroute eval suites list # List all eval suites
omniroute eval suites list --json # JSON output
omniroute eval suites get <suiteId> # Full suite definition
omniroute eval suites create \
--name "code-quality" \
--rubric "exact-match" \
--samples-file ./samples.jsonl # JSONL: {input, expected_output}
Rubric options: exact-match, contains, llm-judge, regex.
--samples-file format (one JSON object per line):
{"input": "What is 2+2?", "expected_output": "4"}
{"input": "Translate 'hello' to Spanish", "expected_output": "hola"}
omniroute eval suites run <suiteId> \
--model claude-sonnet-4-6 # Run suite against a specific model
omniroute eval suites run <suiteId> \
--model gpt-4o \
--watch # Live TUI progress (EvalWatch)
The run is asynchronous. Use --watch for a live terminal dashboard or poll manually:
RUN_ID=$(omniroute eval suites run <suiteId> --model claude-sonnet-4-6 --output json | jq -r '.id')
omniroute eval get $RUN_ID
omniroute eval list # List all eval runs
omniroute eval list --json
omniroute eval get <runId> # Run details (status, model, score)
omniroute eval results <runId> # Per-sample results
omniroute eval scorecard <runId> # Full scorecard with pass/fail per sample
omniroute eval cancel <runId> # Cancel a running eval
omniroute eval scorecard <runId> --output json
Response fields per sample:
{
"id": "sample-1",
"score": 0.95,
"passed": true,
"input": "What is 2+2?",
"output": "4",
"expected": "4"
}
Run the same suite against multiple models and compare:
for MODEL in claude-sonnet-4-6 gpt-4o gemini-2.0-flash; do
omniroute eval suites run $SUITE_ID --model $MODEL --output json | jq '{model: .model, score: .score}'
done
# Run and fail CI if score drops below threshold
SCORE=$(omniroute eval suites run $SUITE_ID --model claude-sonnet-4-6 --output json | jq -r '.score')
python3 -c "import sys; score=float('$SCORE'); sys.exit(0 if score >= 0.90 else 1)"
suites create fails with invalid rubric → use one of: exact-match, contains, llm-judge, regexsuites run returns model not found → verify model ID with omniroute models --search <name>eval get shows status: failed → check omniroute logs --search eval for error detailsscorecard returns empty results → the run may still be running; poll omniroute eval get <runId> until status is completedまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
日本語の概要は準備中です。原文の説明を表示しています。
Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
日本語の概要は準備中です。原文の説明を表示しています。
Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
日本語の概要は準備中です。原文の説明を表示しています。
Configure and test prompt compression from the CLI. Manage RTK filters, Caveman rules, stacked compression modes, and preview compression output with real prompts.
日本語の概要は準備中です。原文の説明を表示しています。
Manage context engineering configurations, RTK filter sets, and conversation sessions from the CLI. Apply context-relay settings and inspect active context pipelines.
日本語の概要は準備中です。原文の説明を表示しています。