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import os
import sys
import json
import pytest
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
from litellm import transcription
from litellm.llms.fireworks_ai.chat.transformation import FireworksAIConfig
from base_llm_unit_tests import BaseLLMChatTest
from base_audio_transcription_unit_tests import BaseLLMAudioTranscriptionTest
fireworks = FireworksAIConfig()
def test_map_openai_params_tool_choice():
# Test case 1: tool_choice is "required"
result = fireworks.map_openai_params(
{"tool_choice": "required"}, {}, "some_model", drop_params=False
)
assert result == {"tool_choice": "any"}
# Test case 2: tool_choice is "auto"
result = fireworks.map_openai_params(
{"tool_choice": "auto"}, {}, "some_model", drop_params=False
)
assert result == {"tool_choice": "auto"}
# Test case 3: tool_choice is not present
result = fireworks.map_openai_params(
{"some_other_param": "value"}, {}, "some_model", drop_params=False
)
assert result == {}
# Test case 4: tool_choice is None
result = fireworks.map_openai_params(
{"tool_choice": None}, {}, "some_model", drop_params=False
)
assert result == {"tool_choice": None}
def test_map_response_format():
"""
Test that the response format is translated correctly.
h/t to https://github.com/DaveDeCaprio (@DaveDeCaprio) for the test case
Relevant Issue: https://github.com/BerriAI/litellm/issues/6797
Fireworks AI Ref: https://docs.fireworks.ai/structured-responses/structured-response-formatting#step-1-import-libraries
"""
response_format = {
"type": "json_schema",
"json_schema": {
"schema": {
"properties": {"result": {"type": "boolean"}},
"required": ["result"],
"type": "object",
},
"name": "BooleanResponse",
"strict": True,
},
}
result = fireworks.map_openai_params(
{"response_format": response_format}, {}, "some_model", drop_params=False
)
assert result == {
"response_format": {
"type": "json_object",
"schema": {
"properties": {"result": {"type": "boolean"}},
"required": ["result"],
"type": "object",
},
}
}
class TestFireworksAIChatCompletion(BaseLLMChatTest):
def get_base_completion_call_args(self) -> dict:
return {
"model": "fireworks_ai/accounts/fireworks/models/llama-v3p1-8b-instruct"
}
def test_tool_call_no_arguments(self, tool_call_no_arguments):
"""Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
pass
class TestFireworksAIAudioTranscription(BaseLLMAudioTranscriptionTest):
def get_base_audio_transcription_call_args(self) -> dict:
return {
"model": "fireworks_ai/whisper-v3",
"api_base": "https://audio-prod.us-virginia-1.direct.fireworks.ai/v1",
}
def get_custom_llm_provider(self) -> litellm.LlmProviders:
return litellm.LlmProviders.FIREWORKS_AI
@pytest.mark.parametrize(
"disable_add_transform_inline_image_block",
[True, False],
)
def test_document_inlining_example(disable_add_transform_inline_image_block):
litellm.set_verbose = True
if disable_add_transform_inline_image_block is True:
with pytest.raises(Exception):
completion = litellm.completion(
model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct",
messages=[
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": "https://storage.googleapis.com/fireworks-public/test/sample_resume.pdf"
},
},
{
"type": "text",
"text": "What are the candidate's BA and MBA GPAs?",
},
],
}
],
disable_add_transform_inline_image_block=disable_add_transform_inline_image_block,
)
else:
completion = litellm.completion(
model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct",
messages=[
{
"role": "user",
"content": "this is a test request, write a short poem",
},
],
disable_add_transform_inline_image_block=disable_add_transform_inline_image_block,
)
print(completion)
@pytest.mark.parametrize(
"content, model, expected_url",
[
(
{"image_url": "http://example.com/image.png"},
"gpt-4",
"http://example.com/image.png#transform=inline",
),
(
{"image_url": {"url": "http://example.com/image.png"}},
"gpt-4",
{"url": "http://example.com/image.png#transform=inline"},
),
(
{"image_url": "http://example.com/image.png"},
"vision-gpt",
"http://example.com/image.png",
),
],
)
def test_transform_inline(content, model, expected_url):
result = litellm.FireworksAIConfig()._add_transform_inline_image_block(
content=content, model=model, disable_add_transform_inline_image_block=False
)
if isinstance(expected_url, str):
assert result["image_url"] == expected_url
else:
assert result["image_url"]["url"] == expected_url["url"]
@pytest.mark.parametrize(
"model, is_disabled, expected_url",
[
("gpt-4", True, "http://example.com/image.png"),
("vision-gpt", False, "http://example.com/image.png"),
("gpt-4", False, "http://example.com/image.png#transform=inline"),
],
)
def test_global_disable_flag(model, is_disabled, expected_url):
content = {"image_url": "http://example.com/image.png"}
result = litellm.FireworksAIConfig()._add_transform_inline_image_block(
content=content,
model=model,
disable_add_transform_inline_image_block=is_disabled,
)
assert result["image_url"] == expected_url
litellm.disable_add_transform_inline_image_block = False # Reset for other tests
def test_global_disable_flag_with_transform_messages_helper(monkeypatch):
from openai import OpenAI
from unittest.mock import patch
from litellm import completion
from litellm.llms.custom_httpx.http_handler import HTTPHandler
client = HTTPHandler()
monkeypatch.setattr(litellm, "disable_add_transform_inline_image_block", True)
with patch.object(
client,
"post",
) as mock_post:
try:
completion(
model="fireworks_ai/accounts/fireworks/models/llama-v3p3-70b-instruct",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
},
},
],
}
],
client=client,
)
except Exception as e:
print(e)
mock_post.assert_called_once()
print(mock_post.call_args.kwargs)
json_data = json.loads(mock_post.call_args.kwargs["data"])
assert (
"#transform=inline"
not in json_data["messages"][0]["content"][1]["image_url"][
"url"
]
)
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