ashr-labs 0.1.1

Python SDK for the Ashr Labs API

Ashr Labs Python SDK

A Python client library for evaluating AI agents against Ashr Labs test datasets.

Documentation

• Testing Your Agent — start here
• Quick Start Guide
• Installation
• Authentication
• API Reference
• Error Handling
• Examples

Installation

pip install ashr-labs

Quick Start

from ashr_labs import AshrLabsClient, EvalRunner

# Only need your API key — base_url and tenant_id are automatic
client = AshrLabsClient(api_key="tp_your_api_key_here")

# Fetch a dataset and run your agent against it
runner = EvalRunner.from_dataset(client, dataset_id=42)
run = runner.run(my_agent)

# Inspect results
metrics = run.build()["aggregate_metrics"]
print(f"Passed: {metrics['tests_passed']}/{metrics['total_tests']}")
print(f"Avg similarity: {metrics['average_similarity_score']}")

# Submit results
run.deploy(client, dataset_id=42)

Your agent just needs two methods:

class MyAgent:
    def respond(self, message: str) -> dict:
        # Call your LLM, return {"text": "...", "tool_calls": [...]}
        return {"text": "response", "tool_calls": []}

    def reset(self) -> None:
        # Clear conversation history between scenarios
        pass

See Testing Your Agent for a full end-to-end guide.

Available Methods

All methods that accept tenant_id auto-resolve it from your API key if omitted.

Datasets

Method	Description
get_dataset(dataset_id, ...)	Get a dataset by ID
list_datasets(limit, offset, ...)	List datasets

Runs

Method	Description
create_run(dataset_id, result, ...)	Create a new test run
get_run(run_id)	Get a run by ID
list_runs(dataset_id, limit, offset)	List runs
delete_run(run_id)	Delete a run

EvalRunner

Method	Description
EvalRunner.from_dataset(client, dataset_id)	Create a runner from a dataset
runner.run(agent)	Run agent against all scenarios, return RunBuilder
runner.run_and_deploy(agent, client, dataset_id)	Run and submit in one call

RunBuilder

Method	Description
RunBuilder()	Create a new run builder
run.start()	Mark the run as started
run.add_test(test_id)	Add a test and get a TestBuilder
run.complete(status)	Mark the run as completed
run.build()	Serialize to a result dict
run.deploy(client, dataset_id)	Build and submit via the API

TestBuilder

Method	Description
test.start()	Mark the test as started
test.add_user_file(file_path, description)	Record a user file upload
test.add_user_text(text, description)	Record a user text input
test.add_tool_call(expected, actual, match_status)	Record an agent tool call
test.add_agent_response(expected_response, actual_response, match_status)	Record an agent response
test.complete(status)	Mark the test as completed

Requests

Method	Description
create_request(request_name, request, ...)	Create a new request
get_request(request_id)	Get a request by ID
list_requests(status, limit, offset)	List requests

API Keys & Session

Method	Description
init()	Validate credentials and get user/tenant info
list_api_keys(include_inactive)	List API keys for your tenant
revoke_api_key(api_key_id)	Revoke an API key
health_check()	Check if the API is reachable

Error Handling

from ashr_labs import AshrLabsClient, NotFoundError, AuthenticationError

client = AshrLabsClient(api_key="tp_...")

try:
    dataset = client.get_dataset(dataset_id=999)
except AuthenticationError:
    print("Invalid API key")
except NotFoundError:
    print("Dataset not found")

Configuration

# All defaults — just pass API key
client = AshrLabsClient(api_key="tp_...")

# From environment (reads ASHR_LABS_API_KEY)
client = AshrLabsClient.from_env()

# Custom timeout
client = AshrLabsClient(api_key="tp_...", timeout=60)

# Custom base URL (for self-hosted)
client = AshrLabsClient(api_key="tp_...", base_url="https://your-api.example.com")

Requirements

• Python 3.10+
• No external dependencies (uses only standard library)

License

MIT