forked from phoenix/litellm-mirror
fix(utils.py): mapping azure api version missing exception
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5 changed files with 15 additions and 5 deletions
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@ -86,6 +86,7 @@ def is_port_in_use(port):
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@click.option('--host', default='0.0.0.0', help='Host for the server to listen on.')
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@click.option('--port', default=8000, help='Port to bind the server to.')
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@click.option('--api_base', default=None, help='API base URL.')
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@click.option('--api_version', default="2023-07-01-preview", help='For azure - pass in the api version.')
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@click.option('--model', '-m', default=None, help='The model name to pass to litellm expects')
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@click.option('--alias', default=None, help='The alias for the model - use this to give a litellm model name (e.g. "huggingface/codellama/CodeLlama-7b-Instruct-hf") a more user-friendly name ("codellama")')
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@click.option('--add_key', default=None, help='The model name to pass to litellm expects')
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@ -105,7 +106,7 @@ def is_port_in_use(port):
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@click.option('--test', flag_value=True, help='proxy chat completions url to make a test request to')
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@click.option('--local', is_flag=True, default=False, help='for local debugging')
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@click.option('--cost', is_flag=True, default=False, help='for viewing cost logs')
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def run_server(host, port, api_base, model, alias, add_key, headers, save, debug, temperature, max_tokens, drop_params, create_proxy, add_function_to_prompt, config, file, max_budget, telemetry, logs, test, local, cost):
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def run_server(host, port, api_base, api_version, model, alias, add_key, headers, save, debug, temperature, max_tokens, drop_params, create_proxy, add_function_to_prompt, config, file, max_budget, telemetry, logs, test, local, cost):
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global feature_telemetry
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args = locals()
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if local:
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@ -197,7 +198,7 @@ def run_server(host, port, api_base, model, alias, add_key, headers, save, debug
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else:
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if headers:
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headers = json.loads(headers)
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initialize(model=model, alias=alias, api_base=api_base, debug=debug, temperature=temperature, max_tokens=max_tokens, max_budget=max_budget, telemetry=telemetry, drop_params=drop_params, add_function_to_prompt=add_function_to_prompt, headers=headers, save=save)
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initialize(model=model, alias=alias, api_base=api_base, api_version=api_version, debug=debug, temperature=temperature, max_tokens=max_tokens, max_budget=max_budget, telemetry=telemetry, drop_params=drop_params, add_function_to_prompt=add_function_to_prompt, headers=headers, save=save)
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try:
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import uvicorn
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except:
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@ -248,7 +248,7 @@ def load_config():
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pass
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def initialize(model, alias, api_base, debug, temperature, max_tokens, max_budget, telemetry, drop_params,
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def initialize(model, alias, api_base, api_version, debug, temperature, max_tokens, max_budget, telemetry, drop_params,
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add_function_to_prompt, headers, save):
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global user_model, user_api_base, user_debug, user_max_tokens, user_temperature, user_telemetry, user_headers
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user_model = model
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@ -261,6 +261,8 @@ def initialize(model, alias, api_base, debug, temperature, max_tokens, max_budge
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if api_base: # model-specific param
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user_api_base = api_base
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dynamic_config[user_model]["api_base"] = api_base
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if api_version:
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os.environ["AZURE_API_VERSION"] = api_version # set this for azure - litellm can read this from the env
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if max_tokens: # model-specific param
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user_max_tokens = max_tokens
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dynamic_config[user_model]["max_tokens"] = max_tokens
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@ -2509,7 +2509,7 @@ def exception_type(
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if isinstance(original_exception, OriginalError):
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# Handle the OpenAIError
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exception_mapping_worked = True
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if model in litellm.openrouter_models:
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if custom_llm_provider == "openrouter":
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if original_exception.http_status == 413:
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raise InvalidRequestError(
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message=str(original_exception),
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@ -3169,7 +3169,14 @@ def exception_type(
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model=model
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)
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exception_mapping_worked = True
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raise APIError(status_code=500, message=str(original_exception), llm_provider=custom_llm_provider, model=model)
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if "InvalidRequestError.__init__() missing 1 required positional argument: 'param'" in str(original_exception): # deal with edge-case invalid request error bug in openai-python sdk
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raise InvalidRequestError(
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message=f"OpenAIException: This can happen due to missing AZURE_API_VERSION: {str(original_exception)}",
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model=model,
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llm_provider=custom_llm_provider
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)
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else:
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raise APIError(status_code=500, message=str(original_exception), llm_provider=custom_llm_provider, model=model)
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except Exception as e:
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# LOGGING
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exception_logging(
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