Hi! I really like the contract-first shape of Contrix — the Comparison Workflow (same endpoint contract run across prompt/model/provider variants) plus the structured CallLogRecord / RuntimeResponse data model in @contrix/runtime-core is genuinely more complete than most "wrapper" tools in this space.
I maintain EvalPort, an open interchange format (Suite + ResultSet JSON documents, spec at spec/SPEC.md) for portable LLM eval data — the idea is that results produced by one tool (Contrix, promptfoo, DeepEval, OpenAI Evals, …) can be diffed, archived, or re-graded by another without a bespoke converter each time.
I'd like to propose a small contrix-openeval-adapter package that converts a Contrix run into an EvalPort ResultSet, and would be happy to build/PR it myself if that's welcome — opening this first per the "open an issue for major feature changes" note in docs/contributing.md.
Why Contrix is a good fit: @contrix/runtime-core already exports a real, typed result object per call — RuntimeResponse = RuntimeSuccessResponse | RuntimeFailureResponse — plus CallLogRecord, ValidationResult/ValidationIssue, and RetryAttemptMeta[]. That's essentially an EvalPort Result + GraderResult already, just under different field names. The Comparison Workflow (one endpoint contract, many prompt/model/provider variants) maps naturally to multiple EvalPort ResultSets sharing one suite_id, which is exactly the "compare fairly under one contract" scenario EvalPort's diffing is meant for.
Sketch of the conversion (types below are the real exports from @contrix/runtime-core and @contrix/spec-core):
import type {
RuntimeResponse,
RuntimeSuccessResponse,
RuntimeFailureResponse,
CallLogRecord,
ValidationResult
} from '@contrix/runtime-core';
import type { EndpointSchemaDocument } from '@contrix/spec-core';
// EvalPort types (spec/SPEC.md §4)
interface GraderResult {
grader_id: string;
type: string;
score: number;
passed: boolean;
reason?: string;
metadata?: Record<string, unknown>;
}
interface Result {
test_case_id: string;
actual_output?: string;
grader_results: GraderResult[];
passed: boolean;
duration_ms?: number;
error?: { message: string; type: string };
metadata?: Record<string, unknown>;
}
function toGraderResult(v: ValidationResult, graderId: string): GraderResult {
return {
grader_id: graderId,
type: 'json_schema',
score: v.success ? 1 : 0,
passed: v.success,
reason: v.errors.map((e) => e.message).join('; ') || undefined,
metadata: { errors: v.errors }
};
}
// one CallLogRecord + its RuntimeResponse -> one EvalPort Result
function toResult(log: CallLogRecord, response: RuntimeResponse): Result {
if (response.success) {
const r = response as RuntimeSuccessResponse;
const lastAttempt = r.attempts[r.attempts.length - 1];
const graderResults = lastAttempt?.validationResult
? [toGraderResult(lastAttempt.validationResult, 'gr_json_schema')]
: [];
return {
test_case_id: log.endpointKey ?? log.requestId,
actual_output: r.finalOutput,
grader_results: graderResults,
passed: graderResults.every((g) => g.passed),
duration_ms: log.latencyMs ?? undefined,
metadata: {
model: log.model,
provider: log.providerKey,
outputSource: r.outputSource,
attemptCount: r.attemptCount,
usage: r.usage
}
};
}
const f = response as RuntimeFailureResponse;
return {
test_case_id: log.endpointKey ?? log.requestId,
grader_results: [],
passed: false,
duration_ms: log.latencyMs ?? undefined,
error: { message: f.error.message, type: f.error.type }
};
}
An EndpointSchemaDocument.outputSchema (from @contrix/spec-core) would compile 1:1 into an EvalPort Grader of type: "json_schema" with params.schema set to that schema, so the endpoint contract itself becomes the Suite's grader definition, and each logged call becomes a Result against it.
Happy to scope this down further or adjust the mapping if you see a cleaner seam (e.g. hanging the converter off CallLogRecord + a debug snapshot instead of the full RuntimeResponse). Let me know if this is something you'd want in-repo, as a separate package, or not at all — no worries either way, just wanted to float it since the runtime-core types made the mapping unusually clean.
Hi! I really like the contract-first shape of Contrix — the Comparison Workflow (same endpoint contract run across prompt/model/provider variants) plus the structured
CallLogRecord/RuntimeResponsedata model in@contrix/runtime-coreis genuinely more complete than most "wrapper" tools in this space.I maintain EvalPort, an open interchange format (
Suite+ResultSetJSON documents, spec atspec/SPEC.md) for portable LLM eval data — the idea is that results produced by one tool (Contrix, promptfoo, DeepEval, OpenAI Evals, …) can be diffed, archived, or re-graded by another without a bespoke converter each time.I'd like to propose a small
contrix-openeval-adapterpackage that converts a Contrix run into an EvalPortResultSet, and would be happy to build/PR it myself if that's welcome — opening this first per the "open an issue for major feature changes" note indocs/contributing.md.Why Contrix is a good fit:
@contrix/runtime-corealready exports a real, typed result object per call —RuntimeResponse = RuntimeSuccessResponse | RuntimeFailureResponse— plusCallLogRecord,ValidationResult/ValidationIssue, andRetryAttemptMeta[]. That's essentially an EvalPortResult+GraderResultalready, just under different field names. The Comparison Workflow (one endpoint contract, many prompt/model/provider variants) maps naturally to multiple EvalPortResultSets sharing onesuite_id, which is exactly the "compare fairly under one contract" scenario EvalPort's diffing is meant for.Sketch of the conversion (types below are the real exports from
@contrix/runtime-coreand@contrix/spec-core):An
EndpointSchemaDocument.outputSchema(from@contrix/spec-core) would compile 1:1 into an EvalPortGraderoftype: "json_schema"withparams.schemaset to that schema, so the endpoint contract itself becomes theSuite's grader definition, and each logged call becomes aResultagainst it.Happy to scope this down further or adjust the mapping if you see a cleaner seam (e.g. hanging the converter off
CallLogRecord+ a debug snapshot instead of the fullRuntimeResponse). Let me know if this is something you'd want in-repo, as a separate package, or not at all — no worries either way, just wanted to float it since the runtime-core types made the mapping unusually clean.