phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-27 03:34:10 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix(utils.py): support deepseek tool calling

Browse source 
Fixes https://github.com/BerriAI/litellm/issues/5081
This commit is contained in:
Krrish Dholakia 2024-08-07 11:14:05 -07:00
parent 5dd4493a73
commit 788b06a33c
2 changed files with 29 additions and 18 deletions
Download patch file Download diff file Expand all files Collapse all files

23
litellm/tests/test_completion.py
View file

@ -4085,9 +4085,28 @@ async def test_acompletion_gemini():
def test_completion_deepseek():
litellm.set_verbose = True
model_name = "deepseek/deepseek-chat"
messages = [{"role": "user", "content": "Hey, how's it going?"}]
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get weather of an location, the user shoud supply a location first",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
}
},
"required": ["location"],
},
},
},
]
messages = [{"role": "user", "content": "How's the weather in Hangzhou?"}]
try:
response = completion(model=model_name, messages=messages)
response = completion(model=model_name, messages=messages, tools=tools)
# Add any assertions here to check the response
print(response)
except litellm.APIError as e:

24
litellm/utils.py
View file

@ -3536,22 +3536,11 @@ def get_optional_params(
)
_check_valid_arg(supported_params=supported_params)
if frequency_penalty is not None:
optional_params["frequency_penalty"] = frequency_penalty
if max_tokens is not None:
optional_params["max_tokens"] = max_tokens
if presence_penalty is not None:
optional_params["presence_penalty"] = presence_penalty
if stop is not None:
optional_params["stop"] = stop
if stream is not None:
optional_params["stream"] = stream
if temperature is not None:
optional_params["temperature"] = temperature
if logprobs is not None:
optional_params["logprobs"] = logprobs
if top_logprobs is not None:
optional_params["top_logprobs"] = top_logprobs
optional_params = litellm.OpenAIConfig().map_openai_params(
non_default_params=non_default_params,
optional_params=optional_params,
model=model,
)
elif custom_llm_provider == "openrouter":
supported_params = get_supported_openai_params(
model=model, custom_llm_provider=custom_llm_provider
@ -4141,12 +4130,15 @@ def get_supported_openai_params(
"frequency_penalty",
"max_tokens",
"presence_penalty",
"response_format",
"stop",
"stream",
"temperature",
"top_p",
"logprobs",
"top_logprobs",
"tools",
"tool_choice",
]
elif custom_llm_provider == "cohere":
return [