EMEP API Specification: Model Registration to Deployment

The EMEP API is the primary interface for research engineers, MLOps engineers, and backend systems to interact with the Evolutionary Model Engineering Platform. This specification defines endpoints for model registration, compatibility analysis, tensor merging, experiment orchestration, candidate evaluation, evolutionary optimization, and artifact retrieval. The API is designed to be transport-agnostic, meaning the same logical operations can be exposed via REST, gRPC, or internal service calls.

API Request Flow

The following sequence diagram illustrates the typical flow of an API request through the EMEP system, from authentication through to response generation.

Authentication

All API requests must include authentication credentials. The EMEP platform supports API key authentication via the Authorization header.

string

required

Bearer token or API key. Format: Bearer <api_key>.

string

Unique request identifier for tracing and idempotency.

string

required

Must be application/json for REST transports.

Authentication Errors

Status	Code	Description	Resolution
401	`AUTH_INVALID_KEY`	API key is missing, expired, or malformed	Verify key in dashboard, rotate if necessary
403	`AUTH_INSUFFICIENT_SCOPE`	Authenticated but lacking required permissions	Contact administrator for role upgrade
429	`AUTH_RATE_LIMITED`	Too many requests from this key	Implement exponential backoff

Endpoint Reference

Model Registration

string

required

Unique identifier for the model. Must be unique within the registry.

string

required

URI to the model weights (HuggingFace, S3, local path, or ArtifactStore reference).

string

required

Model architecture identifier (e.g., llama-2-7b, mistral-7b-v0.1).

string

required

URI to the tokenizer configuration.

object

Optional metadata: license, author, training dataset references, tags.

Response:

string

Confirmed model identifier.

string

Initial lifecycle state: DISCOVERED or IMPORTED.

string

ISO 8601 timestamp of registration.

Errors:

Status	Code	Description
409	`MODEL_ALREADY_EXISTS`	Model ID already registered
400	`MODEL_INVALID_URI`	Source URI is unreachable or malformed
422	`MODEL_UNSUPPORTED_ARCHITECTURE`	Architecture not in supported catalog

Compatibility Check

Initiate a compatibility analysis between two or more registered models via the ModelCompatibilityAnalyzer.

array[string]

required

List of registered model IDs to analyze. Minimum 2, maximum 8.

array[string]

Specific checks to run: architecture, tensor_shape, tokenizer, vocab_overlap. Defaults to all.

Response:

string

Unique identifier for this compatibility analysis.

array[object]

Per-pair compatibility results with state (COMPATIBLE, CONDITIONALLY_COMPATIBLE, INCOMPATIBLE) and detailed diagnostics.

Errors:

Status	Code	Description
404	`MODEL_NOT_FOUND`	One or more model IDs not in registry
422	`COMPATIBILITY_TOO_MANY_MODELS`	Exceeded maximum model count for analysis

Merge Execution

Execute a tensor merge operation via the MergeEngine.

string

required

Unique identifier for this merge operation.

array[string]

required

Models to merge. All must have COMPATIBLE or CONDITIONALLY_COMPATIBLE status.

string

required

Merge strategy: Linear Merge, SLERP, TIES, DARE, DARE + TIES, Task Arithmetic, Franken-Merge, Passthrough.

object

Strategy-specific parameters (e.g., alpha, density, drop_rate).

string

required

Desired ID for the merged candidate model.

Response:

string

Confirmed merge operation ID.

string

ID of the generated candidate model.

string

Merge status: RUNNING, COMPLETED, FAILED.

Errors:

Status	Code	Description
409	`MERGE_INCOMPATIBLE_MODELS`	Models failed compatibility check
400	`MERGE_INVALID_STRATEGY`	Unknown or unsupported merge strategy
422	`MERGE_INVALID_PARAMS`	Strategy parameters out of valid range

Experiment Creation

Create a new experiment via the ExperimentTracker.

string

required

Unique experiment identifier.

string

required

Type: merge, evolution, evaluation, benchmark.

string

Optional parent experiment for lineage tracking.

object

required

Experiment configuration: models, strategies, evaluation suite, search space.

Response:

string

Confirmed experiment ID.

string

Initial state: CREATED.

Candidate Evaluation

Submit a candidate model for evaluation via the EvaluationEngine and BenchmarkEngine.

string

required

ID of the candidate model to evaluate.

string

required

Benchmark suite identifier from the Benchmark Catalog.

array[string]

Splits to run: Optimization Set, Validation Set. Hidden Test Set is excluded by policy.

Response:

string

Unique evaluation run identifier.

string

Result status: PASS, FAIL, REGRESSION, INVALID, INCOMPLETE.

The Hidden Test Set is never used by the Evolution Engine or during candidate selection. It is reserved exclusively for final model validation after the evolutionary search concludes.

Evolution Run

Initiate an evolutionary optimization run via the EvolutionEngine.

string

required

Unique evolution run identifier.

array[string]

required

Initial candidate model IDs for the population.

integer

required

Maximum number of generations to run.

integer

required

Number of candidates per generation.

array[string]

required

Multi-objective targets: accuracy, efficiency, safety, latency.

Response:

string

Confirmed evolution run ID.

string

State: CREATED, PREPARING, RUNNING, EVALUATING, COMPLETED, FAILED, CANCELLED.

string

ID of the current best candidate (populated when state reaches COMPLETED).

Experiment Query

Retrieve experiment status, metrics, and lineage from the ExperimentTracker.

string

required

Experiment identifier to query.

boolean

Whether to include artifact references in the response.

Response:

string

Experiment identifier.

string

Current experiment state.

object

Aggregated metrics from the experiment run.

array[string]

Parent and child experiment IDs.

Model Retrieval

Retrieve model metadata, weights reference, and lifecycle state from the ModelRegistry.

string

required

Registered model identifier.

boolean

Include the source URI for model weights.

Response:

string

Model identifier.

string

Current state: DISCOVERED, IMPORTED, VALIDATED, REGISTERED, CANDIDATE, EVALUATED, PROMOTED, RELEASED, DEPLOYED, DEPRECATED, ARCHIVED.

string

URI to model weights (if requested).

Artifact Retrieval

Retrieve artifacts from the ArtifactStore.

string

required

Unique artifact identifier.

string

Filter by type: model_weights, merge_config, evaluation_report, benchmark_result, experiment_log.

Response:

string

Artifact identifier.

string

Presigned URI or internal reference for download.

string

SHA-256 checksum for integrity verification.

Benchmark Execution

Execute a benchmark suite via the BenchmarkEngine.

string

required

Benchmark suite identifier.

string

required

Model to benchmark.

string

required

Target split: Optimization Set, Validation Set, Hidden Test Set.

Response:

string

Unique benchmark run identifier.

object

Per-task scores and aggregate metrics.

Error Format

All errors follow a consistent structure:

{
  "error": {
    "code": "ERROR_CODE",
    "message": "Human-readable description",
    "details": {},
    "request_id": "req-uuid",
    "timestamp": "2024-01-15T10:30:00Z"
  }
}

Rate Limits and Idempotency

Rate limits are enforced per API key and per IP address. Default limits: 100 requests per minute for read operations, 20 requests per minute for write operations. Batch endpoints allow up to 50 items per request.

All mutating endpoints accept an Idempotency-Key header. Requests with the same key within 24 hours return the original response without re-executing the operation.

Versioning

The API version is specified in the request path (/v1/...) or via the Accept-Version header. Breaking changes are introduced only in new major versions with a 6-month deprecation window for the previous version.

API & CLI

Testing

Failure & Risk

EMEP API Specification: Model Registration to Deployment

API Request Flow

Authentication

Authentication Errors

Endpoint Reference

Model Registration

Compatibility Check

Merge Execution

Experiment Creation

Candidate Evaluation

Evolution Run

Experiment Query

Model Retrieval

Artifact Retrieval

Benchmark Execution

Error Format

Rate Limits and Idempotency

Versioning

​API Request Flow

​Authentication

​Authentication Errors

​Endpoint Reference

​Model Registration

​Compatibility Check

​Merge Execution

​Experiment Creation

​Candidate Evaluation

​Evolution Run

​Experiment Query

​Model Retrieval

​Artifact Retrieval

​Benchmark Execution

​Error Format

​Rate Limits and Idempotency

​Versioning

API Request Flow

Authentication

Authentication Errors

Endpoint Reference

Model Registration

Compatibility Check

Merge Execution

Experiment Creation

Candidate Evaluation

Evolution Run

Experiment Query

Model Retrieval

Artifact Retrieval

Benchmark Execution

Error Format

Rate Limits and Idempotency

Versioning