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POST
/
evaluation
# Docs for v1 can be found by changing the above selector ^
from together import Together
import os

client = Together(
    api_key=os.environ.get("TOGETHER_API_KEY"),
)

response = client.evals.create(
    type="classify",
    parameters=ParametersEvaluationClassifyParameters(
        judge=ParametersEvaluationClassifyParametersJudge(
            model="meta-llama/Llama-3.1-70B-Instruct-Turbo",
            model_source="serverless",
            system_template="You are an expert evaluator...",
        ),
        input_data_file_path="file-abc123",
        labels=["good", "bad"],
        pass_labels=["good"],
        model_to_evaluate="meta-llama/Llama-3.1-8B-Instruct-Turbo"
    )
)

print(response.workflow_id)
{
  "workflow_id": "eval-1234-1244513",
  "status": "pending"
}

Authorizations

​
Authorization
string
header
default:default
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
type
enum<string>
required

The type of evaluation to perform

Available options:
classify,
score,
compare
Example:

"classify"

​
parameters
object
required

Type-specific parameters for the evaluation

Response

Evaluation job created successfully

​
workflow_id
string

The ID of the created evaluation job

Example:

"eval-1234-1244513"

​
status
enum<string>

Initial status of the job

Available options:
pending