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(feat) add groq ai
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2 changed files with 12 additions and 1 deletions
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@ -258,6 +258,7 @@ async def acompletion(
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or custom_llm_provider == "openrouter"
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or custom_llm_provider == "deepinfra"
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or custom_llm_provider == "perplexity"
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or custom_llm_provider == "groq"
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or custom_llm_provider == "text-completion-openai"
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or custom_llm_provider == "huggingface"
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or custom_llm_provider == "ollama"
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@ -810,6 +811,7 @@ def completion(
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or custom_llm_provider == "custom_openai"
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or custom_llm_provider == "deepinfra"
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or custom_llm_provider == "perplexity"
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or custom_llm_provider == "groq"
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or custom_llm_provider == "anyscale"
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or custom_llm_provider == "mistral"
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or custom_llm_provider == "openai"
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@ -819,7 +821,7 @@ def completion(
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# note: if a user sets a custom base - we should ensure this works
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# allow for the setting of dynamic and stateful api-bases
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api_base = (
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api_base # for deepinfra/perplexity/anyscale we check in get_llm_provider and pass in the api base from there
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api_base # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
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or litellm.api_base
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or get_secret("OPENAI_API_BASE")
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or "https://api.openai.com/v1"
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@ -2241,6 +2243,7 @@ async def aembedding(*args, **kwargs):
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or custom_llm_provider == "openrouter"
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or custom_llm_provider == "deepinfra"
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or custom_llm_provider == "perplexity"
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or custom_llm_provider == "groq"
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or custom_llm_provider == "ollama"
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or custom_llm_provider == "vertex_ai"
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): # currently implemented aiohttp calls for just azure and openai, soon all.
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@ -2735,6 +2738,7 @@ async def atext_completion(*args, **kwargs):
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or custom_llm_provider == "openrouter"
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or custom_llm_provider == "deepinfra"
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or custom_llm_provider == "perplexity"
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or custom_llm_provider == "groq"
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or custom_llm_provider == "text-completion-openai"
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or custom_llm_provider == "huggingface"
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or custom_llm_provider == "ollama"
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@ -4862,6 +4862,10 @@ def get_llm_provider(
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# deepinfra is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.endpoints.anyscale.com/v1
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api_base = "https://api.deepinfra.com/v1/openai"
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dynamic_api_key = get_secret("DEEPINFRA_API_KEY")
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elif custom_llm_provider == "groq":
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# groq is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.groq.com/openai/v1
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api_base = "https://api.groq.com/openai/v1"
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dynamic_api_key = get_secret("GROQ_API_KEY")
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elif custom_llm_provider == "mistral":
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# mistral is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.mistral.ai
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api_base = "https://api.mistral.ai/v1"
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@ -4899,6 +4903,9 @@ def get_llm_provider(
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elif endpoint == "api.mistral.ai/v1":
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custom_llm_provider = "mistral"
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dynamic_api_key = get_secret("MISTRAL_API_KEY")
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elif endpoint == "api.groq.com/openai/v1":
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custom_llm_provider = "groq"
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dynamic_api_key = get_secret("GROQ_API_KEY")
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return model, custom_llm_provider, dynamic_api_key, api_base
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# check if model in known model provider list -> for huggingface models, raise exception as they don't have a fixed provider (can be togetherai, anyscale, baseten, runpod, et.)
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