chore: update docstrings

integrations/mistral/src/haystack_integrations/components/embedders/mistral/document_embedder.py

@@ -43,17 +43,27 @@ def __init__(
         embedding_separator: str = "\n",
     ):
         """
-        Create a MistralDocumentEmbedder component.
-        :param api_key: The Mistral API key.
-        :param model: The name of the model to use.
-        :param api_base_url: The Mistral API Base url, defaults to None. For more details, see Mistral [docs](https://docs.mistral.ai/api/).
-        :param prefix: A string to add to the beginning of each text.
-        :param suffix: A string to add to the end of each text.
-        :param batch_size: Number of Documents to encode at once.
-        :param progress_bar: Whether to show a progress bar or not. Can be helpful to disable in production deployments
-                             to keep the logs clean.
-        :param meta_fields_to_embed: List of meta fields that should be embedded along with the Document text.
-        :param embedding_separator: Separator used to concatenate the meta fields to the Document text.
+        Creates a MistralDocumentEmbedder component.
+
+        :param api_key:
+            The Mistral API key.
+        :param model:
+            The name of the model to use.
+        :param api_base_url:
+            The Mistral API Base url. For more details, see Mistral [docs](https://docs.mistral.ai/api/).
+        :param prefix:
+            A string to add to the beginning of each text.
+        :param suffix:
+            A string to add to the end of each text.
+        :param batch_size:
+            Number of Documents to encode at once.
+        :param progress_bar:
+            Whether to show a progress bar or not. Can be helpful to disable in production deployments to keep
+            the logs clean.
+        :param meta_fields_to_embed:
+            List of meta fields that should be embedded along with the Document text.
+        :param embedding_separator:
+            Separator used to concatenate the meta fields to the Document text.
         """
         super(MistralDocumentEmbedder, self).__init__(  # noqa: UP008
             api_key=api_key,

integrations/mistral/src/haystack_integrations/components/embedders/mistral/text_embedder.py

@@ -11,22 +11,21 @@
 @component
 class MistralTextEmbedder(OpenAITextEmbedder):
     """
-     A component for embedding strings using Mistral models.
+    A component for embedding strings using Mistral models.
 
-     Usage example:
+    Usage example:
      ```python
     from haystack_integrations.components.embedders.mistral.text_embedder import MistralTextEmbedder
 
-     text_to_embed = "I love pizza!"
+    text_to_embed = "I love pizza!"
+    text_embedder = MistralTextEmbedder()
+    print(text_embedder.run(text_to_embed))
 
-     text_embedder = MistralTextEmbedder()
-
-     print(text_embedder.run(text_to_embed))
-
-     # {'embedding': [0.017020374536514282, -0.023255806416273117, ...],
-     # 'meta': {'model': 'text-embedding-ada-002-v2',
-     #          'usage': {'prompt_tokens': 4, 'total_tokens': 4}}}
-     ```
+    # output:
+    # {'embedding': [0.017020374536514282, -0.023255806416273117, ...],
+    # 'meta': {'model': 'mistral-embed',
+    #          'usage': {'prompt_tokens': 4, 'total_tokens': 4}}}
+    ```
     """
 
     def __init__(
@@ -38,14 +37,19 @@ def __init__(
         suffix: str = "",
     ):
         """
-        Create an MistralTextEmbedder component.
-
-        :param api_key: The Misttal API key.
-        :param model: The name of the Mistral embedding models to be used.
-        :param api_base_url: The Mistral API Base url, defaults to `https://api.mistral.ai/v1`.
-                             For more details, see Mistral [docs](https://docs.mistral.ai/api/).
-        :param prefix: A string to add to the beginning of each text.
-        :param suffix: A string to add to the end of each text.
+        Creates an MistralTextEmbedder component.
+
+        :param api_key:
+            The Mistral API key.
+        :param model:
+            The name of the Mistral embedding model to be used.
+        :param api_base_url:
+            The Mistral API Base url.
+            For more details, see Mistral [docs](https://docs.mistral.ai/api/).
+        :param prefix:
+            A string to add to the beginning of each text.
+        :param suffix:
+            A string to add to the end of each text.
         """
         super(MistralTextEmbedder, self).__init__(  # noqa: UP008
             api_key=api_key,

integrations/mistral/src/haystack_integrations/components/generators/mistral/chat/chat_generator.py

@@ -12,17 +12,27 @@
 @component
 class MistralChatGenerator(OpenAIChatGenerator):
     """
-    Enables text generation using Mistral's large language models (LLMs).
-    Currently supports `mistral-tiny`, `mistral-small` and `mistral-medium`
-    models accessed through the chat completions API endpoint.
+    Enables text generation using Mistral AI generative models.
+    For supported models, see [Mistral AI docs](https://docs.mistral.ai/platform/endpoints/#operation/listModels).
 
-    Users can pass any text generation parameters valid for the `openai.ChatCompletion.create` method
-    directly to this component via the `**generation_kwargs` parameter in __init__ or the `**generation_kwargs`
+    Users can pass any text generation parameters valid for the Mistral Chat Completion API
+    directly to this component via the `generation_kwargs` parameter in `__init__` or the `generation_kwargs`
     parameter in `run` method.
 
+    Key Features and Compatibility:
+    - **Primary Compatibility**: Designed to work seamlessly with the Mistral API Chat Completion endpoint.
+    - **Streaming Support**: Supports streaming responses from the Mistral API Chat Completion endpoint.
+    - **Customizability**: Supports all parameters supported by the Mistral API Chat Completion endpoint.
+
+    This component uses the ChatMessage format for structuring both input and output,
+    ensuring coherent and contextually relevant responses in chat-based text generation scenarios.
+    Details on the ChatMessage format can be found in the
+    [Haystack docs](https://docs.haystack.deepset.ai/v2.0/docs/data-classes#chatmessage)
+
     For more details on the parameters supported by the Mistral API, refer to the
     [Mistral API Docs](https://docs.mistral.ai/api/).
 
+    Usage example:
     ```python
     from haystack_integrations.components.generators.mistral import MistralChatGenerator
     from haystack.dataclasses import ChatMessage
@@ -38,19 +48,7 @@ class MistralChatGenerator(OpenAIChatGenerator):
     >>meaningful and useful.', role=<ChatRole.ASSISTANT: 'assistant'>, name=None,
     >>meta={'model': 'mistral-tiny', 'index': 0, 'finish_reason': 'stop',
     >>'usage': {'prompt_tokens': 15, 'completion_tokens': 36, 'total_tokens': 51}})]}
-
     ```
-
-     Key Features and Compatibility:
-         - **Primary Compatibility**: Designed to work seamlessly with the Mistral API Chat Completion endpoint.
-         - **Streaming Support**: Supports streaming responses from the Mistral API Chat Completion endpoint.
-         - **Customizability**: Supports all parameters supported by the Mistral API Chat Completion endpoint.
-
-     Input and Output Format:
-         - **ChatMessage Format**: This component uses the ChatMessage format for structuring both input and output,
-           ensuring coherent and contextually relevant responses in chat-based text generation scenarios.
-           Details on the ChatMessage format can be found at: https://github.com/openai/openai-python/blob/main/chatml.md.
-           Note that the Mistral API does not accept `system` messages yet. You can use `user` and `assistant` messages.
     """
 
     def __init__(
@@ -65,15 +63,19 @@ def __init__(
         Creates an instance of MistralChatGenerator. Unless specified otherwise in the `model`, this is for Mistral's
         `mistral-tiny` model.
 
-        :param api_key: The Mistral API key.
-        :param model: The name of the Mistral chat completion model to use.
-        :param streaming_callback: A callback function that is called when a new token is received from the stream.
+        :param api_key:
+            The Mistral API key.
+        :param model:
+            The name of the Mistral chat completion model to use.
+        :param streaming_callback:
+            A callback function that is called when a new token is received from the stream.
             The callback function accepts StreamingChunk as an argument.
-        :param api_base_url: The Mistral API Base url, defaults to `https://api.mistral.ai/v1`.
-                             For more details, see Mistral [docs](https://docs.mistral.ai/api/).
-        :param generation_kwargs: Other parameters to use for the model. These parameters are all sent directly to
-            the Mistrak endpoint. See [Mistral API docs](https://docs.mistral.ai/api/t) for
-            more details.
+        :param api_base_url:
+            The Mistral API Base url.
+            For more details, see Mistral [docs](https://docs.mistral.ai/api/).
+        :param generation_kwargs:
+            Other parameters to use for the model. These parameters are all sent directly to
+            the Mistral endpoint. See [Mistral API docs](https://docs.mistral.ai/api/) for more details.
             Some of the supported parameters:
             - `max_tokens`: The maximum number of tokens the output text can have.
             - `temperature`: What sampling temperature to use. Higher values mean the model will take more risks.
@@ -83,7 +85,6 @@ def __init__(
                 comprising the top 10% probability mass are considered.
             - `stream`: Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent
                 events as they become available, with the stream terminated by a data: [DONE] message.
-            - `stop`: One or more sequences after which the LLM should stop generating tokens.
             - `safe_prompt`: Whether to inject a safety prompt before all conversations.
             - `random_seed`: The seed to use for random sampling.
         """