Jido Eval

Jido Eval is an Elixir package for evaluating LLM applications in the Jido ecosystem. The current core is a Ragas-like harness for dataset-based evaluation with structured judge calls through req_llm and model metadata from llm_db.

Agentic evals are expected to build on this foundation later. This package keeps the basic evaluation layer small: load samples, run metrics, preserve per-metric judge metadata, and return an auditable Jido.Eval.Result.

Installation

Add jido_eval to your dependencies:

def deps do
  [
    {:jido_eval, "~> 0.1.0"}
  ]
end

Then fetch dependencies:

mix deps.get

Jido Eval does not currently ship an Igniter installer because the package has no required config files, migrations, or scaffolding side effects. Add provider keys through req_llm configuration or environment variables.

Quick Start

alias Jido.Eval
alias Jido.Eval.Dataset.InMemory
alias Jido.Eval.Sample.SingleTurn

samples = [
  %SingleTurn{
    user_input: "What is the capital of France?",
    retrieved_contexts: ["France's capital is Paris."],
    response: "Paris is the capital of France."
  }
]

{:ok, dataset} = InMemory.new(samples)

{:ok, result} =
  Eval.evaluate(dataset,
    metrics: [:faithfulness, :context_precision],
    judge_model: "openai:gpt-4o",
    judge_opts: [temperature: 0.0]
  )

result.summary_stats

llm: and llm_opts: remain accepted compatibility aliases, but new code should use judge_model: and judge_opts:.

Built-In Metrics

• :faithfulness extracts factual statements from a response and checks whether each statement is supported by the retrieved contexts.
• :context_precision checks whether retrieved contexts are relevant to the input and computes average precision over relevant context positions.

Both built-in metrics use structured req_llm object calls so result details include schema-validated booleans, reasoning, judge-call summaries, usage, finish reason, provider metadata, latency, and cache-hit state.

Model Specs

Pass judge models using req_llm model specs:

"openai:gpt-4o"
"anthropic:claude-3-5-sonnet-20241022"
LLMDB.model!("openai:gpt-4o")

Jido Eval deliberately passes model specs through to req_llm and llm_db directly instead of maintaining a parallel model map layer.

Live Evals

Live evals are excluded from the default test suite. To run them, create a local .env with provider keys:

OPENAI_API_KEY=...
ANTHROPIC_API_KEY=...

Then run:

mix test --include live_eval

Development

mix setup
mix test
mix quality
mix docs

mix quality runs the Jido package quality gate: formatting, strict compile, Credo, Dialyzer, and MixDoctor.

License

Apache-2.0. See LICENSE.