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203 lines
6 KiB
Python
203 lines
6 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import pytest
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from llama_models.llama3.api.datatypes import TokenLogProbs, ToolCall
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from llama_stack.apis.inference import Inference
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from pytest_httpx import HTTPXMock
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pytestmark = pytest.mark.asyncio
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async def test_content(
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mock_health: HTTPXMock,
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httpx_mock: HTTPXMock,
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client: Inference,
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base_url: str,
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) -> None:
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"""
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Test that response content makes it through to the completion message.
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"""
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httpx_mock.add_response(
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url=f"{base_url}/v1/chat/completions",
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json={
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"id": "mock-id",
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"created": 1234567890,
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"object": "chat.completion",
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"model": "mock-model",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": "RESPONSE"},
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"finish_reason": "length",
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}
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],
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},
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status_code=200,
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)
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client = await client
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response = await client.chat_completion(
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model="Llama-3-8B-Instruct",
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messages=[{"role": "user", "content": "BOGUS"}],
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stream=False,
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)
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assert response.completion_message.content == "RESPONSE"
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async def test_logprobs(
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mock_health: HTTPXMock,
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httpx_mock: HTTPXMock,
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client: Inference,
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base_url: str,
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) -> None:
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"""
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Test that logprobs are parsed correctly.
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"""
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httpx_mock.add_response(
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url=f"{base_url}/v1/chat/completions",
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json={
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"id": "mock-id",
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"object": "chat.completion",
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"created": 1234567890,
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"model": "mock-model",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": "Hello there"},
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"logprobs": {
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"content": [
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{
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"token": "Hello",
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"logprob": -0.1,
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"bytes": [72, 101, 108, 108, 111],
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"top_logprobs": [
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{"token": "Hello", "logprob": -0.1},
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{"token": "Hi", "logprob": -1.2},
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{"token": "Greetings", "logprob": -2.1},
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],
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},
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{
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"token": "there",
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"logprob": -0.2,
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"bytes": [116, 104, 101, 114, 101],
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"top_logprobs": [
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{"token": "there", "logprob": -0.2},
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{"token": "here", "logprob": -1.3},
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{"token": "where", "logprob": -2.2},
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],
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},
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]
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},
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"finish_reason": "length",
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}
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],
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"usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2},
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},
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status_code=200,
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)
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client = await client
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response = await client.chat_completion(
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model="Llama-3-8B-Instruct",
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messages=[{"role": "user", "content": "Hello"}],
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logprobs={"top_k": 3},
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stream=False,
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)
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assert response.logprobs == [
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TokenLogProbs(
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logprobs_by_token={
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"Hello": -0.1,
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"Hi": -1.2,
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"Greetings": -2.1,
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}
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),
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TokenLogProbs(
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logprobs_by_token={
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"there": -0.2,
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"here": -1.3,
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"where": -2.2,
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}
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),
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]
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async def test_tools(
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mock_health: HTTPXMock,
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httpx_mock: HTTPXMock,
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client: Inference,
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base_url: str,
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) -> None:
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"""
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Test that tools are passed correctly.
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"""
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httpx_mock.add_response(
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url=f"{base_url}/v1/chat/completions",
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json={
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"id": "mock-id",
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"object": "chat.completion",
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"created": 1234567890,
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"model": "mock-model",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": None,
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"tool_calls": [
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{
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"id": "tool-id",
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"type": "function",
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"function": {
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"name": "magic",
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"arguments": {"input": 3},
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},
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},
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{
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"id": "tool-id!",
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"type": "function",
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"function": {
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"name": "magic!",
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"arguments": {"input": 42},
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},
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},
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],
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},
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"logprobs": None,
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"finish_reason": "tool_calls",
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}
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],
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},
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status_code=200,
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)
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client = await client
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response = await client.chat_completion(
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model="Llama-3-8B-Instruct",
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messages=[{"role": "user", "content": "Hello"}],
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stream=False,
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)
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assert response.completion_message.tool_calls == [
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ToolCall(
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call_id="tool-id",
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tool_name="magic",
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arguments={"input": 3},
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),
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ToolCall(
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call_id="tool-id!",
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tool_name="magic!",
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arguments={"input": 42},
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),
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]
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# TODO(mf): test stream=True for each case
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