00be7ee946
- Added Codex-related fields to UserConfig and LLMConfig for managing OAuth tokens and model settings. - Implemented Codex authentication endpoints and integrated them into the application. - Enhanced LLMClient to support Codex as a valid provider, including token management and refresh logic. - Updated UI components to include Codex configuration options and authentication status handling. - Refactored environment variable utilities to accommodate Codex-specific settings.
73 lines
2 KiB
Python
73 lines
2 KiB
Python
from fastapi import HTTPException
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from constants.llm import (
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DEFAULT_ANTHROPIC_MODEL,
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DEFAULT_CODEX_MODEL,
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DEFAULT_GOOGLE_MODEL,
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DEFAULT_OPENAI_MODEL,
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)
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from enums.llm_provider import LLMProvider
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from utils.get_env import (
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get_anthropic_model_env,
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get_codex_model_env,
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get_custom_model_env,
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get_google_model_env,
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get_llm_provider_env,
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get_ollama_model_env,
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get_openai_model_env,
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)
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def get_llm_provider():
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try:
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return LLMProvider(get_llm_provider_env())
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except:
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raise HTTPException(
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status_code=500,
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detail=f"Invalid LLM provider. Please select one of: openai, google, anthropic, ollama, custom, codex",
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)
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def is_openai_selected():
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return get_llm_provider() == LLMProvider.OPENAI
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def is_google_selected():
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return get_llm_provider() == LLMProvider.GOOGLE
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def is_anthropic_selected():
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return get_llm_provider() == LLMProvider.ANTHROPIC
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def is_ollama_selected():
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return get_llm_provider() == LLMProvider.OLLAMA
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def is_custom_llm_selected():
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return get_llm_provider() == LLMProvider.CUSTOM
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def is_codex_selected():
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return get_llm_provider() == LLMProvider.CODEX
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def get_model():
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selected_llm = get_llm_provider()
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if selected_llm == LLMProvider.OPENAI:
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return get_openai_model_env() or DEFAULT_OPENAI_MODEL
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elif selected_llm == LLMProvider.GOOGLE:
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return get_google_model_env() or DEFAULT_GOOGLE_MODEL
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elif selected_llm == LLMProvider.ANTHROPIC:
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return get_anthropic_model_env() or DEFAULT_ANTHROPIC_MODEL
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elif selected_llm == LLMProvider.OLLAMA:
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return get_ollama_model_env()
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elif selected_llm == LLMProvider.CUSTOM:
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return get_custom_model_env()
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elif selected_llm == LLMProvider.CODEX:
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return get_codex_model_env() or DEFAULT_CODEX_MODEL
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else:
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raise HTTPException(
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status_code=500,
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detail=f"Invalid LLM provider. Please select one of: openai, google, anthropic, ollama, custom, codex",
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)
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