forked from phoenix/litellm-mirror
7e5085dc7b
* Fix Vertex AI function calling invoke: use JSON format instead of protobuf text format. (#6702) * test: test tool_call conversion when arguments is empty dict Fixes https://github.com/BerriAI/litellm/issues/6833 * fix(openai_like/handler.py): return more descriptive error message Fixes https://github.com/BerriAI/litellm/issues/6812 * test: skip overloaded model * docs(anthropic.md): update anthropic docs to show how to route to any new model * feat(groq/): fake stream when 'response_format' param is passed Groq doesn't support streaming when response_format is set * feat(groq/): add response_format support for groq Closes https://github.com/BerriAI/litellm/issues/6845 * fix(o1_handler.py): remove fake streaming for o1 Closes https://github.com/BerriAI/litellm/issues/6801 * build(model_prices_and_context_window.json): add groq llama3.2b model pricing Closes https://github.com/BerriAI/litellm/issues/6807 * fix(utils.py): fix handling ollama response format param Fixes https://github.com/BerriAI/litellm/issues/6848#issuecomment-2491215485 * docs(sidebars.js): refactor chat endpoint placement * fix: fix linting errors * test: fix test * test: fix test * fix(openai_like/handler): handle max retries * fix(streaming_handler.py): fix streaming check for openai-compatible providers * test: update test * test: correctly handle model is overloaded error * test: update test * test: fix test * test: mark flaky test --------- Co-authored-by: Guowang Li <Guowang@users.noreply.github.com>
12 lines
438 B
Python
12 lines
438 B
Python
from base_llm_unit_tests import BaseLLMChatTest
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class TestGroq(BaseLLMChatTest):
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def get_base_completion_call_args(self) -> dict:
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return {
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"model": "groq/llama-3.1-70b-versatile",
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}
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def test_tool_call_no_arguments(self, tool_call_no_arguments):
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"""Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
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pass
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