mirror of
https://github.com/BerriAI/litellm.git
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Merge pull request #3859 from BerriAI/litellm_show_openai_params_model_hub
[Feat] Show supported OpenAI params on model hub
This commit is contained in:
Ishaan Jaff
GitHub
commit
b29994a0ae
17 changed files with 89 additions and 65 deletions
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1:null
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@ -3072,7 +3072,7 @@ class Router:
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model=litellm_params.model,
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custom_llm_provider=litellm_params.custom_llm_provider,
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)
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except Exception as e:
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except litellm.exceptions.BadRequestError as e:
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continue
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if model_group_info is None:
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@ -3124,19 +3124,23 @@ class Router:
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if (
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model_info.get("supports_parallel_function_calling", None)
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is not None
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and model_info["supports_parallel_function_calling"] == True # type: ignore
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and model_info["supports_parallel_function_calling"] is True # type: ignore
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):
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model_group_info.supports_parallel_function_calling = True
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if (
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model_info.get("supports_vision", None) is not None
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and model_info["supports_vision"] == True # type: ignore
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and model_info["supports_vision"] is True # type: ignore
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):
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model_group_info.supports_vision = True
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if (
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model_info.get("supports_function_calling", None) is not None
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and model_info["supports_function_calling"] == True # type: ignore
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and model_info["supports_function_calling"] is True # type: ignore
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):
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model_group_info.supports_function_calling = True
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if model_info.get("supported_openai_params", None) is not None:
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model_group_info.supported_openai_params = model_info[
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"supported_openai_params"
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]
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return model_group_info
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@ -426,3 +426,4 @@ class ModelGroupInfo(BaseModel):
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supports_parallel_function_calling: bool = Field(default=False)
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supports_vision: bool = Field(default=False)
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supports_function_calling: bool = Field(default=False)
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supported_openai_params: List[str] = Field(default=[])
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@ -15,6 +15,10 @@ class ProviderField(TypedDict):
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class ModelInfo(TypedDict):
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"""
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Model info for a given model, this is information found in litellm.model_prices_and_context_window.json
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"""
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max_tokens: int
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max_input_tokens: int
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max_output_tokens: int
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@ -22,3 +26,4 @@ class ModelInfo(TypedDict):
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output_cost_per_token: float
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litellm_provider: str
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mode: str
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supported_openai_params: List[str]
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@ -7076,6 +7076,7 @@ def get_model_info(model: str) -> ModelInfo:
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- output_cost_per_token (float): The cost per token for output.
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- litellm_provider (str): The provider of the model (e.g., "openai").
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- mode (str): The mode of the model (e.g., "chat" or "completion").
|
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- supported_openai_params (List[str]): A list of supported OpenAI parameters for the model.
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Raises:
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Exception: If the model is not mapped yet.
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|
|
@ -7087,9 +7088,11 @@ def get_model_info(model: str) -> ModelInfo:
|
|||
"input_cost_per_token": 0.00003,
|
||||
"output_cost_per_token": 0.00006,
|
||||
"litellm_provider": "openai",
|
||||
"mode": "chat"
|
||||
"mode": "chat",
|
||||
"supported_openai_params": ["temperature", "max_tokens", "top_p", "frequency_penalty", "presence_penalty"]
|
||||
}
|
||||
"""
|
||||
supported_openai_params: Union[List[str], None] = []
|
||||
|
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def _get_max_position_embeddings(model_name):
|
||||
# Construct the URL for the config.json file
|
||||
|
|
@ -7117,9 +7120,18 @@ def get_model_info(model: str) -> ModelInfo:
|
|||
azure_llms = litellm.azure_llms
|
||||
if model in azure_llms:
|
||||
model = azure_llms[model]
|
||||
if model in litellm.model_cost:
|
||||
return litellm.model_cost[model]
|
||||
model, custom_llm_provider, _, _ = get_llm_provider(model=model)
|
||||
##########################
|
||||
# Get custom_llm_provider
|
||||
split_model, custom_llm_provider = model, ""
|
||||
try:
|
||||
split_model, custom_llm_provider, _, _ = get_llm_provider(model=model)
|
||||
except:
|
||||
pass
|
||||
#########################
|
||||
|
||||
supported_openai_params = litellm.get_supported_openai_params(
|
||||
model=model, custom_llm_provider=custom_llm_provider
|
||||
)
|
||||
if custom_llm_provider == "huggingface":
|
||||
max_tokens = _get_max_position_embeddings(model_name=model)
|
||||
return {
|
||||
|
|
@ -7128,15 +7140,26 @@ def get_model_info(model: str) -> ModelInfo:
|
|||
"output_cost_per_token": 0,
|
||||
"litellm_provider": "huggingface",
|
||||
"mode": "chat",
|
||||
"supported_openai_params": supported_openai_params,
|
||||
}
|
||||
else:
|
||||
"""
|
||||
Check if model in model cost map
|
||||
Check if:
|
||||
1. 'model' in litellm.model_cost. Checks "groq/llama3-8b-8192" in litellm.model_cost
|
||||
2. 'split_model' in litellm.model_cost. Checks "llama3-8b-8192" in litellm.model_cost
|
||||
"""
|
||||
if model in litellm.model_cost:
|
||||
return litellm.model_cost[model]
|
||||
_model_info = litellm.model_cost[model]
|
||||
_model_info["supported_openai_params"] = supported_openai_params
|
||||
return _model_info
|
||||
if split_model in litellm.model_cost:
|
||||
_model_info = litellm.model_cost[split_model]
|
||||
_model_info["supported_openai_params"] = supported_openai_params
|
||||
return _model_info
|
||||
else:
|
||||
raise Exception()
|
||||
raise ValueError(
|
||||
"This model isn't mapped yet. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json"
|
||||
)
|
||||
except:
|
||||
raise Exception(
|
||||
"This model isn't mapped yet. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json"
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -1 +1 @@
|
|||
<!DOCTYPE html><html id="__next_error__"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" as="script" fetchPriority="low" href="/ui/_next/static/chunks/webpack-e85084d25f9ae5e4.js" crossorigin=""/><script src="/ui/_next/static/chunks/fd9d1056-f960ab1e6d32b002.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/69-04708d7d4a17c1ee.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/main-app-9b4fb13a7db53edf.js" async="" crossorigin=""></script><title>LiteLLM Dashboard</title><meta name="description" content="LiteLLM Proxy Admin UI"/><link rel="icon" href="/ui/favicon.ico" type="image/x-icon" sizes="16x16"/><meta name="next-size-adjust"/><script src="/ui/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js" crossorigin="" noModule=""></script></head><body><script src="/ui/_next/static/chunks/webpack-e85084d25f9ae5e4.js" crossorigin="" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0]);self.__next_f.push([2,null])</script><script>self.__next_f.push([1,"1:HL[\"/ui/_next/static/media/c9a5bc6a7c948fb0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]\n2:HL[\"/ui/_next/static/css/5d93d4a9fa59d72f.css\",\"style\",{\"crossOrigin\":\"\"}]\n0:\"$L3\"\n"])</script><script>self.__next_f.push([1,"4:I[47690,[],\"\"]\n6:I[77831,[],\"\"]\n7:I[39712,[\"936\",\"static/chunks/2f6dbc85-052c4579f80d66ae.js\",\"608\",\"static/chunks/608-d128caa3cfe973c1.js\",\"931\",\"static/chunks/app/page-e266cb0126026d40.js\"],\"\"]\n8:I[5613,[],\"\"]\n9:I[31778,[],\"\"]\nb:I[48955,[],\"\"]\nc:[]\n"])</script><script>self.__next_f.push([1,"3:[[[\"$\",\"link\",\"0\",{\"rel\":\"stylesheet\",\"href\":\"/ui/_next/static/css/5d93d4a9fa59d72f.css\",\"precedence\":\"next\",\"crossOrigin\":\"\"}]],[\"$\",\"$L4\",null,{\"buildId\":\"dYIEEO-62OCgyckEhgBd-\",\"assetPrefix\":\"/ui\",\"initialCanonicalUrl\":\"/\",\"initialTree\":[\"\",{\"children\":[\"__PAGE__\",{}]},\"$undefined\",\"$undefined\",true],\"initialSeedData\":[\"\",{\"children\":[\"__PAGE__\",{},[\"$L5\",[\"$\",\"$L6\",null,{\"propsForComponent\":{\"params\":{}},\"Component\":\"$7\",\"isStaticGeneration\":true}],null]]},[null,[\"$\",\"html\",null,{\"lang\":\"en\",\"children\":[\"$\",\"body\",null,{\"className\":\"__className_c23dc8\",\"children\":[\"$\",\"$L8\",null,{\"parallelRouterKey\":\"children\",\"segmentPath\":[\"children\"],\"loading\":\"$undefined\",\"loadingStyles\":\"$undefined\",\"loadingScripts\":\"$undefined\",\"hasLoading\":false,\"error\":\"$undefined\",\"errorStyles\":\"$undefined\",\"errorScripts\":\"$undefined\",\"template\":[\"$\",\"$L9\",null,{}],\"templateStyles\":\"$undefined\",\"templateScripts\":\"$undefined\",\"notFound\":[[\"$\",\"title\",null,{\"children\":\"404: This page could not be found.\"}],[\"$\",\"div\",null,{\"style\":{\"fontFamily\":\"system-ui,\\\"Segoe UI\\\",Roboto,Helvetica,Arial,sans-serif,\\\"Apple Color Emoji\\\",\\\"Segoe UI Emoji\\\"\",\"height\":\"100vh\",\"textAlign\":\"center\",\"display\":\"flex\",\"flexDirection\":\"column\",\"alignItems\":\"center\",\"justifyContent\":\"center\"},\"children\":[\"$\",\"div\",null,{\"children\":[[\"$\",\"style\",null,{\"dangerouslySetInnerHTML\":{\"__html\":\"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}\"}}],[\"$\",\"h1\",null,{\"className\":\"next-error-h1\",\"style\":{\"display\":\"inline-block\",\"margin\":\"0 20px 0 0\",\"padding\":\"0 23px 0 0\",\"fontSize\":24,\"fontWeight\":500,\"verticalAlign\":\"top\",\"lineHeight\":\"49px\"},\"children\":\"404\"}],[\"$\",\"div\",null,{\"style\":{\"display\":\"inline-block\"},\"children\":[\"$\",\"h2\",null,{\"style\":{\"fontSize\":14,\"fontWeight\":400,\"lineHeight\":\"49px\",\"margin\":0},\"children\":\"This page could not be found.\"}]}]]}]}]],\"notFoundStyles\":[],\"styles\":null}]}]}],null]],\"initialHead\":[false,\"$La\"],\"globalErrorComponent\":\"$b\",\"missingSlots\":\"$Wc\"}]]\n"])</script><script>self.__next_f.push([1,"a:[[\"$\",\"meta\",\"0\",{\"name\":\"viewport\",\"content\":\"width=device-width, initial-scale=1\"}],[\"$\",\"meta\",\"1\",{\"charSet\":\"utf-8\"}],[\"$\",\"title\",\"2\",{\"children\":\"LiteLLM Dashboard\"}],[\"$\",\"meta\",\"3\",{\"name\":\"description\",\"content\":\"LiteLLM Proxy Admin UI\"}],[\"$\",\"link\",\"4\",{\"rel\":\"icon\",\"href\":\"/ui/favicon.ico\",\"type\":\"image/x-icon\",\"sizes\":\"16x16\"}],[\"$\",\"meta\",\"5\",{\"name\":\"next-size-adjust\"}]]\n5:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html>
|
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<!DOCTYPE html><html id="__next_error__"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" as="script" fetchPriority="low" href="/ui/_next/static/chunks/webpack-e85084d25f9ae5e4.js" crossorigin=""/><script src="/ui/_next/static/chunks/fd9d1056-f960ab1e6d32b002.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/69-04708d7d4a17c1ee.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/main-app-9b4fb13a7db53edf.js" async="" crossorigin=""></script><title>LiteLLM Dashboard</title><meta name="description" content="LiteLLM Proxy Admin UI"/><link rel="icon" href="/ui/favicon.ico" type="image/x-icon" sizes="16x16"/><meta name="next-size-adjust"/><script src="/ui/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js" crossorigin="" noModule=""></script></head><body><script src="/ui/_next/static/chunks/webpack-e85084d25f9ae5e4.js" crossorigin="" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0]);self.__next_f.push([2,null])</script><script>self.__next_f.push([1,"1:HL[\"/ui/_next/static/media/c9a5bc6a7c948fb0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]\n2:HL[\"/ui/_next/static/css/5d93d4a9fa59d72f.css\",\"style\",{\"crossOrigin\":\"\"}]\n0:\"$L3\"\n"])</script><script>self.__next_f.push([1,"4:I[47690,[],\"\"]\n6:I[77831,[],\"\"]\n7:I[39712,[\"936\",\"static/chunks/2f6dbc85-052c4579f80d66ae.js\",\"608\",\"static/chunks/608-d128caa3cfe973c1.js\",\"931\",\"static/chunks/app/page-76d278f96a0e9768.js\"],\"\"]\n8:I[5613,[],\"\"]\n9:I[31778,[],\"\"]\nb:I[48955,[],\"\"]\nc:[]\n"])</script><script>self.__next_f.push([1,"3:[[[\"$\",\"link\",\"0\",{\"rel\":\"stylesheet\",\"href\":\"/ui/_next/static/css/5d93d4a9fa59d72f.css\",\"precedence\":\"next\",\"crossOrigin\":\"\"}]],[\"$\",\"$L4\",null,{\"buildId\":\"D_ZUmMtLMPSa4aQQUJtKt\",\"assetPrefix\":\"/ui\",\"initialCanonicalUrl\":\"/\",\"initialTree\":[\"\",{\"children\":[\"__PAGE__\",{}]},\"$undefined\",\"$undefined\",true],\"initialSeedData\":[\"\",{\"children\":[\"__PAGE__\",{},[\"$L5\",[\"$\",\"$L6\",null,{\"propsForComponent\":{\"params\":{}},\"Component\":\"$7\",\"isStaticGeneration\":true}],null]]},[null,[\"$\",\"html\",null,{\"lang\":\"en\",\"children\":[\"$\",\"body\",null,{\"className\":\"__className_c23dc8\",\"children\":[\"$\",\"$L8\",null,{\"parallelRouterKey\":\"children\",\"segmentPath\":[\"children\"],\"loading\":\"$undefined\",\"loadingStyles\":\"$undefined\",\"loadingScripts\":\"$undefined\",\"hasLoading\":false,\"error\":\"$undefined\",\"errorStyles\":\"$undefined\",\"errorScripts\":\"$undefined\",\"template\":[\"$\",\"$L9\",null,{}],\"templateStyles\":\"$undefined\",\"templateScripts\":\"$undefined\",\"notFound\":[[\"$\",\"title\",null,{\"children\":\"404: This page could not be found.\"}],[\"$\",\"div\",null,{\"style\":{\"fontFamily\":\"system-ui,\\\"Segoe UI\\\",Roboto,Helvetica,Arial,sans-serif,\\\"Apple Color Emoji\\\",\\\"Segoe UI Emoji\\\"\",\"height\":\"100vh\",\"textAlign\":\"center\",\"display\":\"flex\",\"flexDirection\":\"column\",\"alignItems\":\"center\",\"justifyContent\":\"center\"},\"children\":[\"$\",\"div\",null,{\"children\":[[\"$\",\"style\",null,{\"dangerouslySetInnerHTML\":{\"__html\":\"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}\"}}],[\"$\",\"h1\",null,{\"className\":\"next-error-h1\",\"style\":{\"display\":\"inline-block\",\"margin\":\"0 20px 0 0\",\"padding\":\"0 23px 0 0\",\"fontSize\":24,\"fontWeight\":500,\"verticalAlign\":\"top\",\"lineHeight\":\"49px\"},\"children\":\"404\"}],[\"$\",\"div\",null,{\"style\":{\"display\":\"inline-block\"},\"children\":[\"$\",\"h2\",null,{\"style\":{\"fontSize\":14,\"fontWeight\":400,\"lineHeight\":\"49px\",\"margin\":0},\"children\":\"This page could not be found.\"}]}]]}]}]],\"notFoundStyles\":[],\"styles\":null}]}]}],null]],\"initialHead\":[false,\"$La\"],\"globalErrorComponent\":\"$b\",\"missingSlots\":\"$Wc\"}]]\n"])</script><script>self.__next_f.push([1,"a:[[\"$\",\"meta\",\"0\",{\"name\":\"viewport\",\"content\":\"width=device-width, initial-scale=1\"}],[\"$\",\"meta\",\"1\",{\"charSet\":\"utf-8\"}],[\"$\",\"title\",\"2\",{\"children\":\"LiteLLM Dashboard\"}],[\"$\",\"meta\",\"3\",{\"name\":\"description\",\"content\":\"LiteLLM Proxy Admin UI\"}],[\"$\",\"link\",\"4\",{\"rel\":\"icon\",\"href\":\"/ui/favicon.ico\",\"type\":\"image/x-icon\",\"sizes\":\"16x16\"}],[\"$\",\"meta\",\"5\",{\"name\":\"next-size-adjust\"}]]\n5:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html>
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
2:I[77831,[],""]
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|
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|
||||
4:I[5613,[],""]
|
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5:I[31778,[],""]
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|
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|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"LiteLLM Dashboard"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
|
|
|||
|
|
@ -31,12 +31,14 @@ interface ModelHubProps {
|
|||
}
|
||||
|
||||
interface ModelInfo {
|
||||
model_group: string;
|
||||
mode: string;
|
||||
supports_function_calling: boolean;
|
||||
supports_vision: boolean;
|
||||
max_input_tokens?: number;
|
||||
max_output_tokens?: number;
|
||||
model_group: string;
|
||||
mode: string;
|
||||
supports_function_calling: boolean;
|
||||
supports_vision: boolean;
|
||||
max_input_tokens?: number;
|
||||
max_output_tokens?: number;
|
||||
supported_openai_params?: string[];
|
||||
|
||||
|
||||
// Add other properties if needed
|
||||
}
|
||||
|
|
@ -127,29 +129,14 @@ const ModelHub: React.FC<ModelHubProps> = ({
|
|||
/>
|
||||
</Tooltip>
|
||||
</pre>
|
||||
<div className='my-5'>
|
||||
|
||||
<div className="my-5">
|
||||
<Text>Mode: {model.mode}</Text>
|
||||
<Text>
|
||||
Supports Function Calling:{" "}
|
||||
{model?.supports_function_calling == true ? "Yes" : "No"}
|
||||
</Text>
|
||||
<Text>
|
||||
Supports Vision:{" "}
|
||||
{model?.supports_vision == true ? "Yes" : "No"}
|
||||
</Text>
|
||||
<Text>
|
||||
Max Input Tokens:{" "}
|
||||
{model?.max_input_tokens ? model?.max_input_tokens : "N/A"}
|
||||
</Text>
|
||||
<Text>
|
||||
Max Output Tokens:{" "}
|
||||
{model?.max_output_tokens
|
||||
? model?.max_output_tokens
|
||||
: "N/A"}
|
||||
</Text>
|
||||
</div>
|
||||
|
||||
<Text>Mode: {model.mode}</Text>
|
||||
<Text>Supports Function Calling: {model?.supports_function_calling == true ? "Yes" : "No"}</Text>
|
||||
<Text>Supports Vision: {model?.supports_vision == true ? "Yes" : "No"}</Text>
|
||||
<Text>Max Input Tokens: {model?.max_input_tokens ? model?.max_input_tokens : "N/A"}</Text>
|
||||
<Text>Max Output Tokens: {model?.max_output_tokens ? model?.max_output_tokens : "N/A"}</Text>
|
||||
</div>
|
||||
<div style={{ marginTop: "auto", textAlign: "right" }}>
|
||||
<a
|
||||
href="#"
|
||||
|
|
@ -165,7 +152,7 @@ const ModelHub: React.FC<ModelHubProps> = ({
|
|||
</div>
|
||||
|
||||
<Modal
|
||||
title="Model Usage"
|
||||
title={selectedModel && selectedModel.model_group ? selectedModel.model_group : "Unknown Model"}
|
||||
width={800}
|
||||
visible={isModalVisible}
|
||||
footer={null}
|
||||
|
|
@ -174,20 +161,19 @@ const ModelHub: React.FC<ModelHubProps> = ({
|
|||
>
|
||||
{selectedModel && (
|
||||
<div>
|
||||
<p>
|
||||
<strong>Model Name:</strong> {selectedModel.model_group}
|
||||
</p>
|
||||
|
||||
<p className='mb-4'><strong>Model Information & Usage</strong></p>
|
||||
|
||||
<TabGroup>
|
||||
<TabList>
|
||||
<Tab>OpenAI Python SDK</Tab>
|
||||
<Tab>LlamaIndex</Tab>
|
||||
<Tab>Langchain Py</Tab>
|
||||
</TabList>
|
||||
<TabPanels>
|
||||
<TabPanel>
|
||||
<SyntaxHighlighter language="python">
|
||||
{`
|
||||
<TabList>
|
||||
<Tab>OpenAI Python SDK</Tab>
|
||||
<Tab>Supported OpenAI Params</Tab>
|
||||
<Tab>LlamaIndex</Tab>
|
||||
<Tab>Langchain Py</Tab>
|
||||
</TabList>
|
||||
<TabPanels>
|
||||
<TabPanel>
|
||||
<SyntaxHighlighter language="python">
|
||||
{`
|
||||
import openai
|
||||
client = openai.OpenAI(
|
||||
api_key="your_api_key",
|
||||
|
|
@ -206,8 +192,13 @@ response = client.chat.completions.create(
|
|||
|
||||
print(response)
|
||||
`}
|
||||
</SyntaxHighlighter>
|
||||
</TabPanel>
|
||||
</SyntaxHighlighter>
|
||||
</TabPanel>
|
||||
<TabPanel>
|
||||
<SyntaxHighlighter language="python">
|
||||
{`${selectedModel.supported_openai_params?.map((param) => `${param}\n`).join('')}`}
|
||||
</SyntaxHighlighter>
|
||||
</TabPanel>
|
||||
<TabPanel>
|
||||
<SyntaxHighlighter language="python">
|
||||
{`
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue