feat: add support for mistral

Add support for LLMs hosted by Mistral using Mistral's Python client.

.devcontainer/requirements-dev.txt

@@ -6,3 +6,4 @@ pytest
 pyfakefs
 iterfzf
 hugchat
+mistralai

README.md

@@ -8,7 +8,7 @@ should run on [any system with Python and git installed](https://github.com/Real
 Originally based on [Tom Dörr's `fish.codex` repository](https://github.com/tom-doerr/codex.fish),
 but with some additional functionality.
 
-It can be hooked up to OpenAI, Azure OpenAI, Google, Hugging Face, or a
+It can be hooked up to OpenAI, Azure OpenAI, Google, HuggingFace, Mistral or a
 self-hosted LLM behind any OpenAI-compatible API.
 
 If you like it, please add a ⭐. If you don't like it, create a PR. 😆
@@ -105,6 +105,17 @@ model = meta-llama/Meta-Llama-3-70B-Instruct
 Available models are listed [here](https://huggingface.co/chat/models).
 Note that 2FA must be disabled on the account.
 
+If you use [Mistral](https://mistral.ai):
+
+```ini
+[fish-ai]
+configuration = mistral
+
+[mistral]
+provider = mistral
+api_key = <your API key>
+```
+
 ### Install `fish-ai`
 
 Install the plugin. You can install it using [`fisher`](https://github.com/jorgebucaran/fisher).

bump-version.fish

@@ -6,8 +6,7 @@ if ! type -q what-bump
     exit 1
 end
 
-set current_branch (git rev-parse --abbrev-ref HEAD)
-set start_hash (git show-ref --hash refs/remotes/origin/$current_branch)
+set start_hash (git show-ref --hash refs/remotes/origin/main)
 set current_version (git show $start_hash:pyproject.toml | grep version | head -n 1 | cut -d'"' -f2)
 set next_version (what-bump --from $current_version $start_hash)
 if test "$current_version" = "$next_version"

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fish_ai"
-version = "0.7.1"
+version = "0.8.0"
 authors = [{ name = "Bastian Fredriksson", email = "realiserad@gmail.com" }]
 description = "Provides core functionality for fish-ai, an AI plugin for the fish shell."
 readme = "README.md"
@@ -20,6 +20,7 @@ dependencies = [
   "simple-term-menu==1.6.4",
   "iterfzf==1.4.0.51.0",
   "hugchat==0.4.8",
+  "mistralai==0.4.2",
 ]
 
 [project.urls]

src/fish_ai/engine.py

@@ -16,6 +16,8 @@
 import sys
 from hugchat import hugchat
 from hugchat.login import Login
+from mistralai.client import MistralClient
+from mistralai.models.chat_completion import ChatMessage
 
 config = ConfigParser()
 config.read(path.expanduser('~/.config/fish-ai.ini'))
@@ -142,7 +144,7 @@ def get_openai_client():
                         .format(get_config('provider')))
 
 
-def create_message_history(messages):
+def get_messages_for_gemini(messages):
     """
     Create message history which can be used with Gemini.
     Google uses a different chat history format than OpenAI.
@@ -170,6 +172,15 @@ def create_message_history(messages):
     return outputs
 
 
+def get_messages_for_mistral(messages):
+    output = []
+    for message in messages:
+        output.append(
+            ChatMessage(role=message.get('role'),
+                        content=message.get('content')))
+    return output
+
+
 def create_system_prompt(messages):
     return '\n\n'.join(
         list(
@@ -192,7 +203,7 @@ def get_response(messages):
         genai.configure(api_key=get_config('api_key'))
         model = genai.GenerativeModel(
             get_config('model') or 'gemini-1.5-flash')
-        chat = model.start_chat(history=create_message_history(messages))
+        chat = model.start_chat(history=get_messages_for_gemini(messages))
         generation_config = GenerationConfig(
             candidate_count=1,
             temperature=float(get_config('temperature') or '0.2'))
@@ -215,6 +226,17 @@ def get_response(messages):
 
         response = bot.chat(messages[-1].get('content')).wait_until_done()
         bot.delete_conversation(bot.get_conversation_info())
+    elif get_config('provider') == 'mistral':
+        client = MistralClient(
+            api_key=get_config('api_key')
+        )
+        completions = client.chat(
+            model=get_config('model') or 'mistral-large-latest',
+            messages=get_messages_for_mistral(messages),
+            max_tokens=1024,
+            temperature=float(get_config('temperature') or '0.2'),
+        )
+        response = completions.choices[0].message.content.strip(' `')
     else:
         completions = get_openai_client().chat.completions.create(
             model=get_config('model') or 'gpt-4',