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Overview

Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.

Quick install

bash
npm install -g omniroute   # or: npx omniroute
omniroute --version

Subcommands

eval

Example:

bash
omniroute eval

eval suites

Example:

bash
omniroute eval suites

eval list

Example:

bash
omniroute eval list

eval get <suiteId>

Example:

bash
omniroute eval get <suiteId>

eval create

Flags:

• --file <path>

Example:

bash
omniroute eval create

eval run <suiteId>

Flags:

• -m, --model <id>
• --combo <name>
• --concurrency <n>
• --tag <tag>
• --watch

Example:

bash
omniroute eval run <suiteId>

eval list

Flags:

• --suite <id>
• --status <s>
• --since <ts>
• --limit <n>

Example:

bash
omniroute eval list

eval get <runId>

Example:

bash
omniroute eval get <runId>

eval results <runId>

Flags:

• --failed

Example:

bash
omniroute eval results <runId>

eval cancel <runId>

Flags:

• --yes

Example:

bash
omniroute eval cancel <runId>

eval scorecard <runId>

Example:

bash
omniroute eval scorecard <runId>

simulate [prompt]

Flags:

• --file <path>
• -m, --model <id>
• --combo <name>
• --reasoning-effort <level>
• --thinking-budget <n>
• --explain

Example:

bash
omniroute simulate [prompt]

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OmniRoute — CLI Evals

Requires the omniroute CLI. See CLI entry-point skill for install + global flags.

What are evals?

Evals are automated test suites that score LLM outputs against expected answers or rubrics. OmniRoute stores suites and run results in its local database.

Eval suites

bash
omniroute eval suites list                       # List all eval suites
omniroute eval suites list --json                # JSON output

omniroute eval suites get <suiteId>              # Full suite definition

Create a suite

bash
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):

jsonl
{"input": "What is 2+2?", "expected_output": "4"}
{"input": "Translate 'hello' to Spanish", "expected_output": "hola"}

Run an eval

bash
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:

bash
RUN_ID=$(omniroute eval suites run <suiteId> --model claude-sonnet-4-6 --output json | jq -r '.id')
omniroute eval get $RUN_ID

Manage runs

bash
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

Scorecard output

bash
omniroute eval scorecard <runId> --output json

Response fields per sample:

json
{
  "id": "sample-1",
  "score": 0.95,
  "passed": true,
  "input": "What is 2+2?",
  "output": "4",
  "expected": "4"
}

Comparing models

Run the same suite against multiple models and compare:

bash
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

CI integration

bash
# 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)"

Errors

• suites create fails with invalid rubric → use one of: exact-match, contains, llm-judge, regex
• suites 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 details
• scorecard returns empty results → the run may still be running; poll omniroute eval get <runId> until status is completed

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