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(fix) router: allow same model/name

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ishaan-jaff 2023-11-27 16:26:09 -08:00
parent ba228a9e0a
commit 4265f9b2ef
1 changed files with 8 additions and 4 deletions
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12
litellm/router.py
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@ -166,11 +166,11 @@ class Router:
# pick the one that is available (lowest TPM/RPM)
deployment = self.get_available_deployment(model=model, messages=messages)
kwargs.setdefault("metadata", {}).update({"deployment": deployment["litellm_params"]["model"]})
data = deployment["litellm_params"]
data = deployment["litellm_params"].copy()
for k, v in self.default_litellm_params.items():
if k not in data: # prioritize model-specific params > default router params
data[k] = v
data["model"] = data["model"][:-14]
self.print_verbose(f"completion model: {data['model']}")
return litellm.completion(**{**data, "messages": messages, "caching": self.cache_responses, **kwargs})
except Exception as e:
@ -202,10 +202,11 @@ class Router:
self.print_verbose(f"Inside _acompletion()- model: {model}; kwargs: {kwargs}")
deployment = self.get_available_deployment(model=model, messages=messages)
kwargs.setdefault("metadata", {}).update({"deployment": deployment["litellm_params"]["model"]})
data = deployment["litellm_params"]
data = deployment["litellm_params"].copy()
for k, v in self.default_litellm_params.items():
if k not in data: # prioritize model-specific params > default router params
data[k] = v
data["model"] = data["model"][:-14]
self.print_verbose(f"acompletion model: {data['model']}")
response = await litellm.acompletion(**{**data, "messages": messages, "caching": self.cache_responses, **kwargs})
@ -722,6 +723,9 @@ class Router:
def set_model_list(self, model_list: list):
self.model_list = model_list
# we add a 5 digit uuid to each model so load balancing between azure/gpt on api_base1 and api_base2 works
for model in self.model_list:
model["litellm_params"]["model"] += "-ModelID-" + str(random.randint(10000, 99999))[:5]
self.model_names = [m["model_name"] for m in model_list]
def get_model_names(self):
@ -757,7 +761,7 @@ class Router:
### FILTER OUT UNHEALTHY DEPLOYMENTS
for deployment in deployments_to_remove:
healthy_deployments.remove(deployment)
self.print_verbose(f"healthy deployments: {healthy_deployments}")
self.print_verbose(f"healthy deployments: length {len(healthy_deployments)} {healthy_deployments}")
if len(healthy_deployments) == 0:
raise ValueError("No models available")
if litellm.model_alias_map and model in litellm.model_alias_map: