AI Provider for Mistral

This plugin provides a third-party Mistral integration for the PHP AI Client SDK. It enables WordPress sites to use Mistral models for text generation and related AI capabilities. It is not affiliated with, endorsed by, or sponsored by Mistral AI. Features:

• Text generation with Mistral models
• Image generation with Mistral mistral-medium-2505 model
• Text-to-speech with Mistral Voxtral TTS models, including voice cloning from a reference recording
• Function calling support (for compatible models)
• Vision input support (for compatible models)
• Automatic provider registration

Available models are dynamically discovered from the Mistral API. Requirements:

• PHP 7.4 or higher
• PHP AI Client plugin must be installed and activated
• Mistral API key

1.3.1

• Fix empty responses from reasoning models, such as Magistral, Mistral Large 4, or any model called with a reasoning effort. Their answer is now read from the chunked message content, and their thinking is returned as a thought part.

1.3.0

• Add text-to-speech with the Mistral Voxtral TTS models, such as Voxtral TTS 3 (voxtral-mini-tts-3-0). Use convertTextToSpeech() or generateSpeech(), choose a voice with asOutputSpeechVoice() and a format with asOutputMimeType() (MP3, WAV, FLAC, Opus, or PCM).
• Clone a voice for a single request by adding a short audio recording to the prompt.
• Narrate long text in several requests and join the audio into one file.
• New ai_provider_for_mistral_default_voice_id and ai_provider_for_mistral_tts_max_text_length filters.
• Sort version-numbered model ids (such as mistral-large-4) above dated ids (such as mistral-large-2512), so the newest models in a family are listed first.
• Only force a tool call on the opening turn of a conversation, so agent loops that replay their transcript as text can get a final answer. A tool_choice set through custom options is no longer overwritten. Props @TimVanOnckelen.
• Handle Mistral's model_length and error finish reasons instead of reporting them as an invalid response. Props @TimVanOnckelen.

1.2.1

• Fix image generation failing with "Missing the "file_id" key". Mistral now returns generated images as a URL instead of a file ID; both formats are supported.
• Detect the image type from the downloaded data, as Mistral now returns JPEG images.
• Instruct the image generation agent to always generate an image instead of sometimes replying with a follow-up question.
• Include the agent's reply in the error message when no image is returned.

1.2.0

• Default sort now surfaces flagship Mistral models (Large, Medium, Magistral, Codestral, …) first and sinks legacy open-weights and non-chat models to the bottom.
• New ai_provider_for_mistral_model_sort_callback filter lets integrators replace the sort comparator.
• Declare document input modality on all chat models and serialize {type: "document_url"} content chunks — document QnA now works through any chat model via a remote URL (upload via the Files API for private documents).
• Declare audio input modality on Voxtral models so the AI Client surfaces them as audio-capable chat models.

1.1.1

• Fix an issue with the image generation model

1.1.0

• Refactor to follow wp.org plugin guidelines

1.0.2

• Add provider description and logo for connector screen

1.0.1

• Clean up plugin distribution

1.0.0

• Adjust the tool calling to work with Mistral API.
• Redesign banners and icons

0.3.3

• Fix image generation model loading when using as a plugin.

0.3.2

• Add support for image generation
• Fix issue in output schema

0.3.1

• Add support for output schema

0.3.0

• Rename plugin to "AI Provider for Mistral" (new slug: ai-provider-for-mistral, new namespace: AiProviderForMistral)
• Throw TokenLimitReachedException when Mistral returns finish_reason "length"

0.2.0

• Rewrite the plugin to use better naming that reflects that this is independent product and it is not official Mistral product.
• Add unit and integration tests

0.1.1 - 0.1.3 Improve package / plugin distribution 0.1.0

• Initial release
• Support for Mistral text generation models
• Function calling support for compatible models
• Vision input support for compatible models