[Feature] Add support for Llama 3.1 and 3.2 tool use (#8343)
Signed-off-by: Max de Bayser <mbayser@br.ibm.com>
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@ -6,7 +6,7 @@ import pytest
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from .utils import (MESSAGES_ASKING_FOR_PARALLEL_TOOLS,
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MESSAGES_WITH_PARALLEL_TOOL_RESPONSE, SEARCH_TOOL,
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WEATHER_TOOL)
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WEATHER_TOOL, ServerConfig)
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# test: getting the model to generate parallel tool calls (streaming/not)
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@ -14,7 +14,13 @@ from .utils import (MESSAGES_ASKING_FOR_PARALLEL_TOOLS,
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# may be added in the future. e.g. llama 3.1 models are not designed to support
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# parallel tool calls.
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@pytest.mark.asyncio
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async def test_parallel_tool_calls(client: openai.AsyncOpenAI):
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async def test_parallel_tool_calls(client: openai.AsyncOpenAI,
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server_config: ServerConfig):
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if not server_config.get("supports_parallel", True):
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pytest.skip("The {} model doesn't support parallel tool calls".format(
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server_config["model"]))
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models = await client.models.list()
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model_name: str = models.data[0].id
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chat_completion = await client.chat.completions.create(
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@ -136,7 +142,13 @@ async def test_parallel_tool_calls(client: openai.AsyncOpenAI):
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# test: providing parallel tool calls back to the model to get a response
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# (streaming/not)
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@pytest.mark.asyncio
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async def test_parallel_tool_calls_with_results(client: openai.AsyncOpenAI):
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async def test_parallel_tool_calls_with_results(client: openai.AsyncOpenAI,
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server_config: ServerConfig):
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if not server_config.get("supports_parallel", True):
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pytest.skip("The {} model doesn't support parallel tool calls".format(
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server_config["model"]))
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models = await client.models.list()
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model_name: str = models.data[0].id
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chat_completion = await client.chat.completions.create(
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