docs: add DeepSeek component documentation with inputs and outputs (#5982)
* docs: add DeepSeek component documentation with inputs and outputs * docs: update components documentation to include inputs and outputs for LMStudio and Novita AI
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Mendon Kissling
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@ -110,6 +110,12 @@ For more information, see the [Azure OpenAI documentation](https://learn.microso
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| Input Value | Input Value | Specifies the input text for text generation. |
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| Stream | Stream | Specifies whether to stream the response from the model. Defaults to `False`. |
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### Outputs
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| Name | Type | Description |
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of AzureOpenAI configured with the specified parameters. |
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## Cohere
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This component generates text using Cohere's language models.
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@ -131,6 +137,31 @@ For more information, see the [Cohere documentation](https://cohere.ai/).
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of the Cohere model configured with the specified parameters. |
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## DeepSeek
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This component generates text using DeepSeek's language models.
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For more information, see the [DeepSeek documentation](https://api-docs.deepseek.com/).
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### Inputs
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| Name | Type | Description |
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|----------------|---------------|-----------------------------------------------------------------|
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| max_tokens | Integer | Maximum number of tokens to generate. Set to `0` for unlimited. Range: `0-128000`. |
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| model_kwargs | Dictionary | Additional keyword arguments for the model. |
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| json_mode | Boolean | If `True`, outputs JSON regardless of passing a schema. |
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| model_name | String | The DeepSeek model to use. Default: `deepseek-chat`. |
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| api_base | String | Base URL for API requests. Default: `https://api.deepseek.com`. |
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| api_key | SecretString | Your DeepSeek API key for authentication. |
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| temperature | Float | Controls randomness in responses. Range: `[0.0, 2.0]`. Default: `1.0`. |
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| seed | Integer | Number initialized for random number generation. Use the same seed integer for more reproducible results, and use a different seed number for more random results. |
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### Outputs
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| Name | Type | Description |
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of ChatOpenAI configured with the specified parameters. |
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## Google Generative AI
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This component generates text using Google's Generative AI models.
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@ -149,6 +180,12 @@ For more information, see the [Google Generative AI documentation](https://cloud
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| Top P | Top P | The maximum cumulative probability of tokens to consider when sampling. |
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| N | N | Number of chat completions to generate for each prompt. |
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### Outputs
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| Name | Type | Description |
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of ChatGoogleGenerativeAI configured with the specified parameters. |
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## Groq
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This component generates text using Groq's language models.
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@ -188,6 +225,31 @@ For more information, see the [Hugging Face documentation](https://huggingface.c
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| Model Kwargs | Model Kwargs | Additional keyword arguments for the model.|
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| Input Value | Input Value | The input text for text generation. |
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## LMStudio
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This component generates text using LM Studio's local language models.
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For more information, see [LM Studio documentation](https://lmstudio.ai/).
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### Inputs
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| Name | Type | Description |
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|----------------|---------------|-----------------------------------------------------------------|
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| base_url | String | The URL where LM Studio is running. Default: `"http://localhost:1234"`. |
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| max_tokens | Integer | Maximum number of tokens to generate in the response. Default: `512`. |
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| temperature | Float | Controls randomness in the output. Range: `[0.0, 2.0]`. Default: `0.7`. |
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| top_p | Float | Controls diversity via nucleus sampling. Range: `[0.0, 1.0]`. Default: `1.0`. |
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| stop | List[String] | List of strings that will stop generation when encountered (advanced). |
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| stream | Boolean | Whether to stream the response. Default: `False`. |
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| presence_penalty | Float | Penalizes repeated tokens. Range: `[-2.0, 2.0]`. Default: `0.0`. |
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| frequency_penalty | Float | Penalizes frequent tokens. Range: `[-2.0, 2.0]`. Default: `0.0`. |
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### Outputs
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| Name | Type | Description |
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of LMStudio configured with the specified parameters. |
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## Maritalk
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This component generates text using Maritalk LLMs.
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@ -238,6 +300,30 @@ For more information, see [Mistral AI documentation](https://docs.mistral.ai/).
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|--------|---------------|-----------------------------------------------------|
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| model | LanguageModel | An instance of ChatMistralAI configured with the specified parameters. |
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## Novita AI
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This component generates text using Novita AI's language models.
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For more information, see [Novita AI documentation](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langflow&utm_medium=github_readme&utm_campaign=link).
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### Inputs
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| Name | Type | Description |
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|---------------------|---------------|------------------------------------------------------------------|
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| api_key | SecretString | Your Novita AI API Key. |
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| model | String | The id of the Novita AI model to use. |
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| max_tokens | Integer | The maximum number of tokens to generate. Set to 0 for unlimited tokens. |
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| temperature | Float | Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7. |
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| top_p | Float | Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0. |
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| frequency_penalty | Float | Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0. |
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| presence_penalty | Float | Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0. |
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### Outputs
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| Name | Type | Description |
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of Novita AI model configured with the specified parameters. |
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## NVIDIA
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This component generates text using NVIDIA LLMs.
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@ -305,11 +391,6 @@ For more information, see [OpenAI documentation](https://beta.openai.com/docs/).
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|-------|---------------|------------------------------------------------------------------|
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| model | LanguageModel | An instance of OpenAI model configured with the specified parameters. |
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## Qianfan
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This component generates text using Qianfan's language models.
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For more information, see [Qianfan documentation](https://github.com/baidubce/bce-qianfan-sdk).
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## OpenRouter
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@ -359,6 +440,13 @@ For more information, see [Perplexity documentation](https://perplexity.ai/).
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|--------|---------------|-----------------------------------------------------|
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| model | LanguageModel | An instance of ChatPerplexity configured with the specified parameters. |
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## Qianfan
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This component generates text using Qianfan's language models.
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For more information, see [Qianfan documentation](https://github.com/baidubce/bce-qianfan-sdk).
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## SambaNova
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This component generates text using SambaNova LLMs.
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@ -408,22 +496,4 @@ For more information, see [Google Vertex AI documentation](https://cloud.google.
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|--------|---------------|-----------------------------------------------------|
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| model | LanguageModel | An instance of ChatVertexAI configured with the specified parameters. |
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## Novita AI
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This component generates text using Novita AI's language models.
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For more information, see [Novita AI documentation](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langflow&utm_medium=github_readme&utm_campaign=link).
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### Parameters
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#### Inputs
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| Name | Type | Description |
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|---------------------|---------------|------------------------------------------------------------------|
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| api_key | SecretString | Your Novita AI API Key. |
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| model | String | The id of the Novita AI model to use. |
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| max_tokens | Integer | The maximum number of tokens to generate. Set to 0 for unlimited tokens. |
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| temperature | Float | Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7. |
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| top_p | Float | Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0. |
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| frequency_penalty | Float | Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0. |
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| presence_penalty | Float | Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0. |
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