Merge pull request #2168 from BerriAI/litellm_groq_Ai

[FEAT] Support Groq AI
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Ishaan Jaff 2024-02-23 10:44:21 -08:00 committed by GitHub
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6 changed files with 66 additions and 1 deletions

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@ -209,6 +209,7 @@ curl 'http://0.0.0.0:8000/key/generate' \
| [ollama](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ |
| [deepinfra](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ | ✅ |
| [perplexity-ai](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ | ✅ |
| [Groq AI](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ | ✅ |
| [anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | ✅ |
| [voyage ai](https://docs.litellm.ai/docs/providers/voyage) | | | | | ✅ |
| [xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference) | | | | | ✅ |

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@ -0,0 +1,49 @@
# Groq
https://groq.com/
## API Key
```python
# env variable
os.environ['GROQ_API_KEY']
```
## Sample Usage
```python
from litellm import completion
import os
os.environ['GROQ_API_KEY'] = ""
response = completion(
model="groq/llama2-70b-4096",
messages=[
{"role": "user", "content": "hello from litellm"}
],
)
print(response)
```
## Sample Usage - Streaming
```python
from litellm import completion
import os
os.environ['GROQ_API_KEY'] = ""
response = completion(
model="groq/llama2-70b-4096",
messages=[
{"role": "user", "content": "hello from litellm"}
],
stream=True
)
for chunk in response:
print(chunk)
```
## Supported Models - ALL Groq Models Supported!
We support ALL Groq models, just set `groq/` as a prefix when sending completion requests
| Model Name | Function Call |
|--------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| llama2-70b-4096 | `completion(model="groq/llama2-70b-4096", messages)` |

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@ -131,6 +131,7 @@ const sidebars = {
"providers/bedrock",
"providers/anyscale",
"providers/perplexity",
"providers/groq",
"providers/vllm",
"providers/xinference",
"providers/cloudflare_workers",

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@ -307,6 +307,7 @@ openai_compatible_endpoints: List = [
"api.endpoints.anyscale.com/v1",
"api.deepinfra.com/v1/openai",
"api.mistral.ai/v1",
"api.groq.com/openai/v1",
"api.together.xyz/v1",
]
@ -314,6 +315,7 @@ openai_compatible_endpoints: List = [
openai_compatible_providers: List = [
"anyscale",
"mistral",
"groq",
"deepinfra",
"perplexity",
"xinference",
@ -461,6 +463,7 @@ provider_list: List = [
"perplexity",
"anyscale",
"mistral",
"groq",
"maritalk",
"voyage",
"cloudflare",

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@ -258,6 +258,7 @@ async def acompletion(
or custom_llm_provider == "openrouter"
or custom_llm_provider == "deepinfra"
or custom_llm_provider == "perplexity"
or custom_llm_provider == "groq"
or custom_llm_provider == "text-completion-openai"
or custom_llm_provider == "huggingface"
or custom_llm_provider == "ollama"
@ -810,6 +811,7 @@ def completion(
or custom_llm_provider == "custom_openai"
or custom_llm_provider == "deepinfra"
or custom_llm_provider == "perplexity"
or custom_llm_provider == "groq"
or custom_llm_provider == "anyscale"
or custom_llm_provider == "mistral"
or custom_llm_provider == "openai"
@ -819,7 +821,7 @@ def completion(
# note: if a user sets a custom base - we should ensure this works
# allow for the setting of dynamic and stateful api-bases
api_base = (
api_base # for deepinfra/perplexity/anyscale we check in get_llm_provider and pass in the api base from there
api_base # for deepinfra/perplexity/anyscale/groq we check in get_llm_provider and pass in the api base from there
or litellm.api_base
or get_secret("OPENAI_API_BASE")
or "https://api.openai.com/v1"
@ -2241,6 +2243,7 @@ async def aembedding(*args, **kwargs):
or custom_llm_provider == "openrouter"
or custom_llm_provider == "deepinfra"
or custom_llm_provider == "perplexity"
or custom_llm_provider == "groq"
or custom_llm_provider == "ollama"
or custom_llm_provider == "vertex_ai"
): # currently implemented aiohttp calls for just azure and openai, soon all.
@ -2735,6 +2738,7 @@ async def atext_completion(*args, **kwargs):
or custom_llm_provider == "openrouter"
or custom_llm_provider == "deepinfra"
or custom_llm_provider == "perplexity"
or custom_llm_provider == "groq"
or custom_llm_provider == "text-completion-openai"
or custom_llm_provider == "huggingface"
or custom_llm_provider == "ollama"

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@ -4862,6 +4862,10 @@ def get_llm_provider(
# 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
api_base = "https://api.deepinfra.com/v1/openai"
dynamic_api_key = get_secret("DEEPINFRA_API_KEY")
elif custom_llm_provider == "groq":
# 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
api_base = "https://api.groq.com/openai/v1"
dynamic_api_key = get_secret("GROQ_API_KEY")
elif custom_llm_provider == "mistral":
# mistral is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.mistral.ai
api_base = "https://api.mistral.ai/v1"
@ -4899,6 +4903,9 @@ def get_llm_provider(
elif endpoint == "api.mistral.ai/v1":
custom_llm_provider = "mistral"
dynamic_api_key = get_secret("MISTRAL_API_KEY")
elif endpoint == "api.groq.com/openai/v1":
custom_llm_provider = "groq"
dynamic_api_key = get_secret("GROQ_API_KEY")
return model, custom_llm_provider, dynamic_api_key, api_base
# 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.)