Added new docs for litellm hosted models

docs/language-model-setup/hosted-models/anyscale.mdx

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+---
+title: Anyscale
+---
+
+To use Open Interpreter with a model from Anyscale, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model anyscale/<model-name>
+```
+
+```python Python
+from interpreter import interpreter
+
+# Set the model to use from AWS Bedrock:
+interpreter.llm.model = "anyscale/<model-name>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+We support the following completion models from Anyscale:
+
+- Llama 2 7B Chat
+- Llama 2 13B Chat
+- Llama 2 70B Chat
+- Mistral 7B Instruct
+- CodeLlama 34b Instruct
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model anyscale/meta-llama/Llama-2-7b-chat-hf
+interpreter --model anyscale/meta-llama/Llama-2-13b-chat-hf
+interpreter --model anyscale/meta-llama/Llama-2-70b-chat-hf
+interpreter --model anyscale/mistralai/Mistral-7B-Instruct-v0.1
+interpreter --model anyscale/codellama/CodeLlama-34b-Instruct-hf
+```
+
+```python Python
+interpreter.llm.model = "anyscale/meta-llama/Llama-2-7b-chat-hf"
+interpreter.llm.model = "anyscale/meta-llama/Llama-2-13b-chat-hf"
+interpreter.llm.model = "anyscale/meta-llama/Llama-2-70b-chat-hf"
+interpreter.llm.model = "anyscale/mistralai/Mistral-7B-Instruct-v0.1"
+interpreter.llm.model = "anyscale/codellama/CodeLlama-34b-Instruct-hf"
+
+```
+
+</CodeGroup>
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable | Description                            | Where to Find                                                               |
+| -------------------- | -------------------------------------- | --------------------------------------------------------------------------- |
+| `ANYSCALE_API_KEY`   | The API key for your Anyscale account. | [Anyscale Account Settings](https://app.endpoints.anyscale.com/credentials) |

docs/language-model-setup/hosted-models/aws-sagemaker.mdx

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+---
+title: AWS Sagemaker
+---
+
+To use Open Interpreter with a model from AWS Sagemaker, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model sagemaker/<model-name>
+```
+
+```python Python
+# Sagemaker requires boto3 to be installed on your machine:
+!pip install boto3
+
+from interpreter import interpreter
+
+interpreter.llm.model = "sagemaker/<model-name>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+We support the following completion models from AWS Sagemaker:
+
+- Meta Llama 2 7B
+- Meta Llama 2 7B (Chat/Fine-tuned)
+- Meta Llama 2 13B
+- Meta Llama 2 13B (Chat/Fine-tuned)
+- Meta Llama 2 70B
+- Meta Llama 2 70B (Chat/Fine-tuned)
+- Your Custom Huggingface Model
+
+<CodeGroup>
+
+```bash Terminal
+
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b-f
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-13b
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-13b-f
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-70b
+interpreter --model sagemaker/jumpstart-dft-meta-textgeneration-llama-2-70b-b-f
+interpreter --model sagemaker/<your-hugginface-deployment-name>
+```
+
+```python Python
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b"
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b-f"
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-13b"
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-13b-f"
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-70b"
+interpreter.llm.model = "sagemaker/jumpstart-dft-meta-textgeneration-llama-2-70b-b-f"
+interpreter.llm.model = "sagemaker/<your-hugginface-deployment-name>"
+```
+
+</CodeGroup>
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable    | Description                                     | Where to Find                                                                       |
+| ----------------------- | ----------------------------------------------- | ----------------------------------------------------------------------------------- |
+| `AWS_ACCESS_KEY_ID`     | The API access key for your AWS account.        | [AWS Account Overview -> Security Credintials](https://console.aws.amazon.com/)     |
+| `AWS_SECRET_ACCESS_KEY` | The API secret access key for your AWS account. | [AWS Account Overview -> Security Credintials](https://console.aws.amazon.com/)     |
+| `AWS_REGION_NAME`       | The AWS region you want to use                  | [AWS Account Overview -> Navigation bar -> Region](https://console.aws.amazon.com/) |

docs/language-model-setup/hosted-models/baseten.mdx

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+---
+title: Baseten
+---
+
+To use Open Interpreter with Baseten, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model baseten/<baseten-model>
+```
+
+```python Python
+from interpreter import interpreter
+
+interpreter.llm.model = "baseten/<baseten-model>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+We support the following completion models from Baseten:
+
+- Falcon 7b (qvv0xeq)
+- Wizard LM (q841o8w)
+- MPT 7b Base (31dxrj3)
+
+<CodeGroup>
+
+```bash Terminal
+
+interpreter --model baseten/qvv0xeq
+interpreter --model baseten/q841o8w
+interpreter --model baseten/31dxrj3
+
+
+```
+
+```python Python
+interpreter.llm.model = "baseten/qvv0xeq"
+interpreter.llm.model = "baseten/q841o8w"
+interpreter.llm.model = "baseten/31dxrj3"
+
+
+```
+
+</CodeGroup>
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable | Description     | Where to Find                                                                                            |
+| -------------------- | --------------- | -------------------------------------------------------------------------------------------------------- |
+| BASETEN_API_KEY'`    | Baseten API key | [Baseten Dashboard -> Settings -> Account -> API Keys](https://app.baseten.co/settings/account/api_keys) |

docs/language-model-setup/hosted-models/cloudflare.mdx

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+---
+title: Cloudflare Workers AI
+---
+
+To use Open Interpreter with the Cloudflare Workers AI API, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model cloudflare/<cloudflare-model>
+```
+
+```python Python
+from interpreter import interpreter
+
+interpreter.llm.model = "cloudflare/<cloudflare-model>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+We support the following completion models from Cloudflare Workers AI:
+
+- Llama-2 7b chat fp16
+- Llama-2 7b chat int8
+- Mistral 7b instruct v0.1
+- CodeLlama 7b instruct awq
+
+<CodeGroup>
+
+```bash Terminal
+
+interpreter --model cloudflare/@cf/meta/llama-2-7b-chat-fp16
+interpreter --model cloudflare/@cf/meta/llama-2-7b-chat-int8
+interpreter --model @cf/mistral/mistral-7b-instruct-v0.1
+interpreter --model @hf/thebloke/codellama-7b-instruct-awq
+
+```
+
+```python Python
+interpreter.llm.model = "cloudflare/@cf/meta/llama-2-7b-chat-fp16"
+interpreter.llm.model = "cloudflare/@cf/meta/llama-2-7b-chat-int8"
+interpreter.llm.model = "@cf/mistral/mistral-7b-instruct-v0.1"
+interpreter.llm.model = "@hf/thebloke/codellama-7b-instruct-awq"
+
+```
+
+</CodeGroup>
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable    | Description                | Where to Find                                                                                  |
+| ----------------------- | -------------------------- | ---------------------------------------------------------------------------------------------- |
+| `CLOUDFLARE_API_KEY'`   | Cloudflare API key         | [Cloudflare Profile Page -> API Tokens](https://dash.cloudflare.com/profile/api-tokens)        |
+| `CLOUDFLARE_ACCOUNT_ID` | Your Cloudflare account ID | [Cloudflare Dashboard -> Overview page -> API section](https://www.perplexity.ai/settings/api) |

docs/language-model-setup/hosted-models/deepinfra.mdx

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+---
+title: DeepInfra
+---
+
+To use Open Interpreter with DeepInfra, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model deepinfra/<deepinfra-model>
+```
+
+```python Python
+from interpreter import interpreter
+
+interpreter.llm.model = "deepinfra/<deepinfra-model>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+We support the following completion models from DeepInfra:
+
+- Llama-2 70b chat hf
+- Llama-2 7b chat hf
+- Llama-2 13b chat hf
+- CodeLlama 34b instruct awq
+- Mistral 7b instruct v0.1
+- jondurbin/airoboros I2 70b gpt3 1.4.1
+
+<CodeGroup>
+
+```bash Terminal
+
+interpreter --model deepinfra/meta-llama/Llama-2-70b-chat-hf
+interpreter --model deepinfra/meta-llama/Llama-2-7b-chat-hf
+interpreter --model deepinfra/meta-llama/Llama-2-13b-chat-hf
+interpreter --model deepinfra/codellama/CodeLlama-34b-Instruct-hf
+interpreter --model deepinfra/mistral/mistral-7b-instruct-v0.1
+interpreter --model deepinfra/jondurbin/airoboros-l2-70b-gpt4-1.4.1
+
+```
+
+```python Python
+interpreter.llm.model = "deepinfra/meta-llama/Llama-2-70b-chat-hf"
+interpreter.llm.model = "deepinfra/meta-llama/Llama-2-7b-chat-hf"
+interpreter.llm.model = "deepinfra/meta-llama/Llama-2-13b-chat-hf"
+interpreter.llm.model = "deepinfra/codellama/CodeLlama-34b-Instruct-hf"
+interpreter.llm.model = "deepinfra/mistral-7b-instruct-v0.1"
+interpreter.llm.model = "deepinfra/jondurbin/airoboros-l2-70b-gpt4-1.4.1"
+
+```
+
+</CodeGroup>
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable | Description       | Where to Find                                                          |
+| -------------------- | ----------------- | ---------------------------------------------------------------------- |
+| `DEEPINFRA_API_KEY'` | DeepInfra API key | [DeepInfra Dashboard -> API Keys](https://deepinfra.com/dash/api_keys) |

docs/language-model-setup/hosted-models/huggingface.mdx

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+---
+title: Huggingface
+---
+
+To use Open Interpreter with Huggingface models, set the `model` flag:
+
+<CodeGroup>
+
+```bash Terminal
+interpreter --model huggingface/<huggingface-model>
+```
+
+```python Python
+from interpreter import interpreter
+
+interpreter.llm.model = "huggingface/<huggingface-model>"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+You may also need to specify your Huggingface api base url:
+<CodeGroup>
+
+```bash Terminal
+interpreter --api_base <https://my-endpoint.huggingface.cloud>
+```
+
+```python Python
+from interpreter import interpreter
+
+interpreter.llm.api_base = "https://my-endpoint.huggingface.cloud"
+interpreter.chat()
+```
+
+</CodeGroup>
+
+# Supported Models
+
+Open Interpreter should work with almost any text based hugging face model.
+
+# Required Environment Variables
+
+Set the following environment variables [(click here to learn how)](https://chat.openai.com/share/1062cdd8-62a1-4aa8-8ec9-eca45645971a) to use these models.
+
+| Environment Variable   | Description                 | Where to Find                                                                      |
+| ---------------------- | --------------------------- | ---------------------------------------------------------------------------------- |
+| `HUGGINGFACE_API_KEY'` | Huggingface account API key | [Huggingface -> Settings -> Access Tokens](https://huggingface.co/settings/tokens) |