forked from phoenix/litellm-mirror
Merge pull request #4808 from BerriAI/litellm_Add_mistral_models
feat - add mistral `open-codestral-mamba` `open-mistral-nemo`
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Ishaan Jaff
GitHub
commit
40ee954e8b
3 changed files with 184 additions and 0 deletions
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@ -1,3 +1,6 @@
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# Mistral AI API
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https://docs.mistral.ai/api/
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@ -41,9 +44,106 @@ for chunk in response:
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```
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## Usage with LiteLLM Proxy
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### 1. Set Mistral Models on config.yaml
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```yaml
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model_list:
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- model_name: mistral-small-latest
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litellm_params:
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model: mistral/mistral-small-latest
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api_key: "os.environ/MISTRAL_API_KEY" # ensure you have `MISTRAL_API_KEY` in your .env
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```
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### 2. Start Proxy
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```
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litellm --config config.yaml
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```
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### 3. Test it
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<Tabs>
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<TabItem value="Curl" label="Curl Request">
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```shell
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curl --location 'http://0.0.0.0:4000/chat/completions' \
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--header 'Content-Type: application/json' \
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--data ' {
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"model": "mistral-small-latest",
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"messages": [
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{
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"role": "user",
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"content": "what llm are you"
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}
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]
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}
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'
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```
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</TabItem>
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<TabItem value="openai" label="OpenAI v1.0.0+">
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```python
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import openai
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client = openai.OpenAI(
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api_key="anything",
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base_url="http://0.0.0.0:4000"
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)
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response = client.chat.completions.create(model="mistral-small-latest", messages = [
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{
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"role": "user",
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"content": "this is a test request, write a short poem"
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}
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])
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print(response)
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```
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</TabItem>
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<TabItem value="langchain" label="Langchain">
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```python
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from langchain.chat_models import ChatOpenAI
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from langchain.prompts.chat import (
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ChatPromptTemplate,
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HumanMessagePromptTemplate,
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SystemMessagePromptTemplate,
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)
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from langchain.schema import HumanMessage, SystemMessage
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chat = ChatOpenAI(
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openai_api_base="http://0.0.0.0:4000", # set openai_api_base to the LiteLLM Proxy
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model = "mistral-small-latest",
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temperature=0.1
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)
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messages = [
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SystemMessage(
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content="You are a helpful assistant that im using to make a test request to."
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),
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HumanMessage(
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content="test from litellm. tell me why it's amazing in 1 sentence"
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),
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]
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response = chat(messages)
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print(response)
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```
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</TabItem>
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</Tabs>
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## Supported Models
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:::info
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All models listed here https://docs.mistral.ai/platform/endpoints are supported. We actively maintain the list of models, pricing, token window, etc. [here](https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json).
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:::
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| Model Name | Function Call |
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|----------------|--------------------------------------------------------------|
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| Mistral Small | `completion(model="mistral/mistral-small-latest", messages)` |
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@ -53,6 +153,10 @@ All models listed here https://docs.mistral.ai/platform/endpoints are supported.
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| Mixtral 8x7B | `completion(model="mistral/open-mixtral-8x7b", messages)` |
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| Mixtral 8x22B | `completion(model="mistral/open-mixtral-8x22b", messages)` |
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| Codestral | `completion(model="mistral/codestral-latest", messages)` |
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| Mistral NeMo | `completion(model="mistral/open-mistral-nemo", messages)` |
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| Mistral NeMo 2407 | `completion(model="mistral/open-mistral-nemo-2407", messages)` |
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| Codestral Mamba | `completion(model="mistral/open-codestral-mamba", messages)` |
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| Codestral Mamba | `completion(model="mistral/codestral-mamba-latest"", messages)` |
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## Function Calling
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@ -929,6 +929,46 @@
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"litellm_provider": "mistral",
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"mode": "chat"
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},
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"mistral/open-mistral-nemo": {
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"max_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"input_cost_per_token": 0.0000003,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/open-mistral-nemo-2407": {
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"max_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"input_cost_per_token": 0.0000003,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/open-codestral-mamba": {
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"max_tokens": 256000,
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"max_input_tokens": 256000,
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"max_output_tokens": 256000,
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"input_cost_per_token": 0.00000025,
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"output_cost_per_token": 0.00000025,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/codestral-mamba-latest": {
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"max_tokens": 256000,
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"max_input_tokens": 256000,
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"max_output_tokens": 256000,
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"input_cost_per_token": 0.00000025,
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"output_cost_per_token": 0.00000025,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/mistral-embed": {
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"max_tokens": 8192,
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"max_input_tokens": 8192,
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"litellm_provider": "mistral",
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"mode": "chat"
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},
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"mistral/open-mistral-nemo": {
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"max_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"input_cost_per_token": 0.0000003,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/open-mistral-nemo-2407": {
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"max_tokens": 128000,
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"max_input_tokens": 128000,
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"max_output_tokens": 128000,
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"input_cost_per_token": 0.0000003,
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"output_cost_per_token": 0.0000003,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/open-codestral-mamba": {
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"max_tokens": 256000,
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"max_input_tokens": 256000,
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"max_output_tokens": 256000,
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"input_cost_per_token": 0.00000025,
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"output_cost_per_token": 0.00000025,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/codestral-mamba-latest": {
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"max_tokens": 256000,
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"max_input_tokens": 256000,
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"max_output_tokens": 256000,
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"input_cost_per_token": 0.00000025,
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"output_cost_per_token": 0.00000025,
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"litellm_provider": "mistral",
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"mode": "chat",
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"source": "https://mistral.ai/technology/"
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},
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"mistral/mistral-embed": {
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"max_tokens": 8192,
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"max_input_tokens": 8192,
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