add mistralai

gptcli/assistant.py

@@ -7,6 +7,7 @@
 from gptcli.completion import CompletionProvider, ModelOverrides, Message
 from gptcli.google import GoogleCompletionProvider
 from gptcli.llama import LLaMACompletionProvider
+from gptcli.mistral import MistralCompletionProvider
 from gptcli.openai import OpenAICompletionProvider
 from gptcli.anthropic import AnthropicCompletionProvider
 
@@ -64,6 +65,8 @@ def get_completion_provider(model: str) -> CompletionProvider:
         return LLaMACompletionProvider()
     elif model.startswith("chat-bison"):
         return GoogleCompletionProvider()
+    elif model.startswith("mistral"):
+        return MistralCompletionProvider()
     else:
         raise ValueError(f"Unknown model: {model}")
 

gptcli/config.py

@@ -20,6 +20,7 @@ class GptCliConfig:
     show_price: bool = True
     api_key: Optional[str] = os.environ.get("OPENAI_API_KEY")
     openai_api_key: Optional[str] = os.environ.get("OPENAI_API_KEY")
+    mistral_api_key: Optional[str] = os.environ.get("MISTRAL_API_KEY")
     anthropic_api_key: Optional[str] = os.environ.get("ANTHROPIC_API_KEY")
     google_api_key: Optional[str] = os.environ.get("GOOGLE_API_KEY")
     log_file: Optional[str] = None

gptcli/gpt.py

@@ -15,6 +15,7 @@
 import datetime
 import google.generativeai as genai
 import gptcli.anthropic
+import gptcli.mistral
 from gptcli.assistant import (
     Assistant,
     DEFAULT_ASSISTANTS,
@@ -178,6 +179,9 @@ def main():
         )
         sys.exit(1)
 
+    if config.mistral_api_key:
+        gptcli.mistral.api_key = config.mistral_api_key
+
     if config.anthropic_api_key:
         gptcli.anthropic.api_key = config.anthropic_api_key
 

gptcli/mistral.py

@@ -0,0 +1,47 @@
+from typing import Iterator, List
+import os
+from gptcli.completion import CompletionProvider, Message
+from mistralai.client import MistralClient
+from mistralai.models.chat_completion import ChatMessage
+
+api_key = os.environ.get("MISTRAL_API_KEY")
+
+
+class MistralCompletionProvider(CompletionProvider):
+    def __init__(self):
+        self.client = MistralClient(api_key=api_key)
+
+    def complete(
+        self, messages: List[Message], args: dict, stream: bool = False
+    ) -> Iterator[str]:
+        kwargs = {}
+        if "temperature" in args:
+            kwargs["temperature"] = args["temperature"]
+        if "top_p" in args:
+            kwargs["top_p"] = args["top_p"]
+
+        messages = [
+            ChatMessage(role=msg["role"], content=msg["content"])
+            for msg in messages
+        ]
+
+        if stream:
+            response_iter = self.client.chat_stream(
+                model=args["model"],
+                messages=messages,
+                **kwargs,
+            )
+
+            for response in response_iter:
+                next_choice = response.choices[0]
+                if next_choice.finish_reason is None and next_choice.delta.content:
+                    yield next_choice.delta.content
+        else:
+            response = self.client.chat(
+                model=args["model"],
+                messages=messages,
+                **kwargs,
+            )
+            next_choice = response.choices[0]
+            if next_choice.message.content:
+                yield next_choice.message.content