refactor: clean up imports and improve code formatting for better readability
fix: ensure proper error handling and logging in WebSocket connections feat: enhance WebSocket server to handle streaming and error messages more effectively chore: update model parameters and configurations for better performance and maintainability test: improve test coverage for model token limits and agent creation logic
This commit is contained in:
Ariel Frischer
parent
c2ba638a95
commit
1cc5b8e16c
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@ -34,9 +34,11 @@ logger = get_logger(__name__)
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def launch_webui(host: str, port: int):
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"""Launch the RA.Aid web interface."""
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from ra_aid.webui import run_server
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print(f"Starting RA.Aid web interface on http://{host}:{port}")
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run_server(host=host, port=port)
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def parse_arguments(args=None):
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VALID_PROVIDERS = [
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"anthropic",
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@ -1,9 +1,6 @@
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import os
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from typing import Any, Dict, Optional
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known_temp_providers = {"openai", "anthropic", "openrouter", "openai-compatible", "gemini", "deepseek"}
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from .models_params import models_params
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from langchain_anthropic import ChatAnthropic
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from langchain_core.language_models import BaseChatModel
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from langchain_google_genai import ChatGoogleGenerativeAI
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@ -12,6 +9,17 @@ from langchain_openai import ChatOpenAI
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from ra_aid.chat_models.deepseek_chat import ChatDeepseekReasoner
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from ra_aid.logging_config import get_logger
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from .models_params import models_params
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known_temp_providers = {
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"openai",
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"anthropic",
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"openrouter",
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"openai-compatible",
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"gemini",
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"deepseek",
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}
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logger = get_logger(__name__)
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@ -6,710 +6,324 @@ DEFAULT_TOKEN_LIMIT = 100000
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models_params = {
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"openai": {
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"gpt-3.5-turbo-0125": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"gpt-3.5-turbo": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5-turbo-1106": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5-turbo-instruct": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"gpt-4-0125-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo-2024-04-09": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-1106-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-vision-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"gpt-4-0613": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"gpt-4-32k": {
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"token_limit": 32768,
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"supports_temperature": True
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},
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"gpt-4-32k-0613": {
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"token_limit": 32768,
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"supports_temperature": True
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},
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"gpt-4o": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4o-2024-08-06": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4o-2024-05-13": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4o-mini": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"o1-preview": {
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"token_limit": 128000,
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"supports_temperature": False
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},
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"o1-mini": {
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"token_limit": 128000,
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"supports_temperature": False
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}
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"gpt-3.5-turbo-0125": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5": {"token_limit": 4096, "supports_temperature": True},
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"gpt-3.5-turbo": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5-turbo-1106": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5-turbo-instruct": {"token_limit": 4096, "supports_temperature": True},
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"gpt-4-0125-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo-2024-04-09": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-1106-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-vision-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4": {"token_limit": 8192, "supports_temperature": True},
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"gpt-4-0613": {"token_limit": 8192, "supports_temperature": True},
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"gpt-4-32k": {"token_limit": 32768, "supports_temperature": True},
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"gpt-4-32k-0613": {"token_limit": 32768, "supports_temperature": True},
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"gpt-4o": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4o-2024-08-06": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4o-2024-05-13": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4o-mini": {"token_limit": 128000, "supports_temperature": True},
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"o1-preview": {"token_limit": 128000, "supports_temperature": False},
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"o1-mini": {"token_limit": 128000, "supports_temperature": False},
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},
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"azure_openai": {
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"gpt-3.5-turbo-0125": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"gpt-3.5-turbo": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5-turbo-1106": {
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"token_limit": 16385,
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"supports_temperature": True
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},
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"gpt-3.5-turbo-instruct": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"gpt-4-0125-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-turbo-2024-04-09": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-1106-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4-vision-preview": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"gpt-4-0613": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"gpt-4-32k": {
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"token_limit": 32768,
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"supports_temperature": True
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},
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"gpt-4-32k-0613": {
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"token_limit": 32768,
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"supports_temperature": True
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},
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"gpt-4o": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gpt-4o-mini": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"chatgpt-4o-latest": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"o1-preview": {
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"token_limit": 128000,
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"supports_temperature": False
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},
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"o1-mini": {
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"token_limit": 128000,
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"supports_temperature": False
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}
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"gpt-3.5-turbo-0125": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5": {"token_limit": 4096, "supports_temperature": True},
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"gpt-3.5-turbo": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5-turbo-1106": {"token_limit": 16385, "supports_temperature": True},
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"gpt-3.5-turbo-instruct": {"token_limit": 4096, "supports_temperature": True},
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"gpt-4-0125-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-turbo-2024-04-09": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-1106-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4-vision-preview": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4": {"token_limit": 8192, "supports_temperature": True},
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"gpt-4-0613": {"token_limit": 8192, "supports_temperature": True},
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"gpt-4-32k": {"token_limit": 32768, "supports_temperature": True},
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"gpt-4-32k-0613": {"token_limit": 32768, "supports_temperature": True},
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"gpt-4o": {"token_limit": 128000, "supports_temperature": True},
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"gpt-4o-mini": {"token_limit": 128000, "supports_temperature": True},
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"chatgpt-4o-latest": {"token_limit": 128000, "supports_temperature": True},
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"o1-preview": {"token_limit": 128000, "supports_temperature": False},
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"o1-mini": {"token_limit": 128000, "supports_temperature": False},
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},
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"google_genai": {
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"gemini-pro": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gemini-pro": {"token_limit": 128000, "supports_temperature": True},
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"gemini-1.5-flash-latest": {
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"token_limit": 128000,
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"supports_temperature": True
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"supports_temperature": True,
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},
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"gemini-1.5-pro-latest": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"models/embedding-001": {
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"token_limit": 2048,
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"supports_temperature": True
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}
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"gemini-1.5-pro-latest": {"token_limit": 128000, "supports_temperature": True},
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"models/embedding-001": {"token_limit": 2048, "supports_temperature": True},
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},
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"google_vertexai": {
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"gemini-1.5-flash": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gemini-1.5-pro": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"gemini-1.0-pro": {
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"token_limit": 128000,
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"supports_temperature": True
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}
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"gemini-1.5-flash": {"token_limit": 128000, "supports_temperature": True},
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"gemini-1.5-pro": {"token_limit": 128000, "supports_temperature": True},
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"gemini-1.0-pro": {"token_limit": 128000, "supports_temperature": True},
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},
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"ollama": {
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"command-r": {
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"token_limit": 12800,
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"supports_temperature": True
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},
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"codellama": {
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"token_limit": 16000,
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"supports_temperature": True
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},
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"dbrx": {
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"token_limit": 32768,
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"supports_temperature": True
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},
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"deepseek-coder:33b": {
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"token_limit": 16000,
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"supports_temperature": True
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},
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"falcon": {
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"token_limit": 2048,
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"supports_temperature": True
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},
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"llama2": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"llama2:7b": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"llama2:13b": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"llama2:70b": {
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"token_limit": 4096,
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"supports_temperature": True
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},
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"llama3": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"llama3:8b": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"llama3:70b": {
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"token_limit": 8192,
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"supports_temperature": True
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},
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"llama3.1": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"llama3.1:8b": {
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"token_limit": 128000,
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"supports_temperature": True
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},
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"llama3.1:70b": {
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"token_limit": 128000,
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"supports_temperature": True
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},
|
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"lama3.1:405b": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
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},
|
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"llama3.2": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
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},
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"llama3.2:1b": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"llama3.2:3b": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"llama3.3:70b": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"scrapegraph": {
|
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"token_limit": 8192,
|
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"supports_temperature": True
|
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},
|
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"mistral-small": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"mistral-openorca": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
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},
|
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"mistral-large": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"grok-1": {
|
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"token_limit": 8192,
|
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"supports_temperature": True
|
||||
},
|
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"llava": {
|
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"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
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"mixtral:8x22b-instruct": {
|
||||
"token_limit": 65536,
|
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"supports_temperature": True
|
||||
},
|
||||
"nomic-embed-text": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"nous-hermes2:34b": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"orca-mini": {
|
||||
"token_limit": 2048,
|
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"supports_temperature": True
|
||||
},
|
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"phi3:3.8b": {
|
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"token_limit": 12800,
|
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"supports_temperature": True
|
||||
},
|
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"phi3:14b": {
|
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"token_limit": 128000,
|
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"supports_temperature": True
|
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},
|
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"qwen:0.5b": {
|
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"token_limit": 32000,
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"supports_temperature": True
|
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},
|
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"qwen:1.8b": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
|
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},
|
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"qwen:4b": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
|
||||
},
|
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"qwen:14b": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
|
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},
|
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"qwen:32b": {
|
||||
"token_limit": 32000,
|
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"supports_temperature": True
|
||||
},
|
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"qwen:72b": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
|
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},
|
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"qwen:110b": {
|
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"token_limit": 32000,
|
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"supports_temperature": True
|
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},
|
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"stablelm-zephyr": {
|
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"token_limit": 8192,
|
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"supports_temperature": True
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},
|
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"wizardlm2:8x22b": {
|
||||
"token_limit": 65536,
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"supports_temperature": True
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},
|
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"mistral": {
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"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"gemma2": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"gemma2:9b": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"gemma2:27b": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"command-r": {"token_limit": 12800, "supports_temperature": True},
|
||||
"codellama": {"token_limit": 16000, "supports_temperature": True},
|
||||
"dbrx": {"token_limit": 32768, "supports_temperature": True},
|
||||
"deepseek-coder:33b": {"token_limit": 16000, "supports_temperature": True},
|
||||
"falcon": {"token_limit": 2048, "supports_temperature": True},
|
||||
"llama2": {"token_limit": 4096, "supports_temperature": True},
|
||||
"llama2:7b": {"token_limit": 4096, "supports_temperature": True},
|
||||
"llama2:13b": {"token_limit": 4096, "supports_temperature": True},
|
||||
"llama2:70b": {"token_limit": 4096, "supports_temperature": True},
|
||||
"llama3": {"token_limit": 8192, "supports_temperature": True},
|
||||
"llama3:8b": {"token_limit": 8192, "supports_temperature": True},
|
||||
"llama3:70b": {"token_limit": 8192, "supports_temperature": True},
|
||||
"llama3.1": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.1:8b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.1:70b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"lama3.1:405b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.2": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.2:1b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.2:3b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"llama3.3:70b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"scrapegraph": {"token_limit": 8192, "supports_temperature": True},
|
||||
"mistral-small": {"token_limit": 128000, "supports_temperature": True},
|
||||
"mistral-openorca": {"token_limit": 32000, "supports_temperature": True},
|
||||
"mistral-large": {"token_limit": 128000, "supports_temperature": True},
|
||||
"grok-1": {"token_limit": 8192, "supports_temperature": True},
|
||||
"llava": {"token_limit": 4096, "supports_temperature": True},
|
||||
"mixtral:8x22b-instruct": {"token_limit": 65536, "supports_temperature": True},
|
||||
"nomic-embed-text": {"token_limit": 8192, "supports_temperature": True},
|
||||
"nous-hermes2:34b": {"token_limit": 4096, "supports_temperature": True},
|
||||
"orca-mini": {"token_limit": 2048, "supports_temperature": True},
|
||||
"phi3:3.8b": {"token_limit": 12800, "supports_temperature": True},
|
||||
"phi3:14b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"qwen:0.5b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:1.8b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:4b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:14b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:32b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:72b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"qwen:110b": {"token_limit": 32000, "supports_temperature": True},
|
||||
"stablelm-zephyr": {"token_limit": 8192, "supports_temperature": True},
|
||||
"wizardlm2:8x22b": {"token_limit": 65536, "supports_temperature": True},
|
||||
"mistral": {"token_limit": 128000, "supports_temperature": True},
|
||||
"gemma2": {"token_limit": 128000, "supports_temperature": True},
|
||||
"gemma2:9b": {"token_limit": 128000, "supports_temperature": True},
|
||||
"gemma2:27b": {"token_limit": 128000, "supports_temperature": True},
|
||||
# embedding models
|
||||
"shaw/dmeta-embedding-zh-small-q4": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"shaw/dmeta-embedding-zh-q4": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"chevalblanc/acge_text_embedding": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"martcreation/dmeta-embedding-zh": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"snowflake-arctic-embed": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"mxbai-embed-large": {
|
||||
"token_limit": 512,
|
||||
"supports_temperature": True
|
||||
}
|
||||
},
|
||||
"oneapi": {
|
||||
"qwen-turbo": {
|
||||
"token_limit": 6000,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"snowflake-arctic-embed": {"token_limit": 8192, "supports_temperature": True},
|
||||
"mxbai-embed-large": {"token_limit": 512, "supports_temperature": True},
|
||||
},
|
||||
"oneapi": {"qwen-turbo": {"token_limit": 6000, "supports_temperature": True}},
|
||||
"nvidia": {
|
||||
"meta/llama3-70b-instruct": {
|
||||
"token_limit": 419,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta/llama3-8b-instruct": {
|
||||
"token_limit": 419,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"nemotron-4-340b-instruct": {
|
||||
"token_limit": 1024,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"databricks/dbrx-instruct": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"google/codegemma-7b": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"google/gemma-2b": {
|
||||
"token_limit": 2048,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"google/gemma-7b": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"google/recurrentgemma-2b": {
|
||||
"token_limit": 2048,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta/codellama-70b": {
|
||||
"token_limit": 16384,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta/llama2-70b": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta/llama3-70b-instruct": {"token_limit": 419, "supports_temperature": True},
|
||||
"meta/llama3-8b-instruct": {"token_limit": 419, "supports_temperature": True},
|
||||
"nemotron-4-340b-instruct": {"token_limit": 1024, "supports_temperature": True},
|
||||
"databricks/dbrx-instruct": {"token_limit": 4096, "supports_temperature": True},
|
||||
"google/codegemma-7b": {"token_limit": 8192, "supports_temperature": True},
|
||||
"google/gemma-2b": {"token_limit": 2048, "supports_temperature": True},
|
||||
"google/gemma-7b": {"token_limit": 8192, "supports_temperature": True},
|
||||
"google/recurrentgemma-2b": {"token_limit": 2048, "supports_temperature": True},
|
||||
"meta/codellama-70b": {"token_limit": 16384, "supports_temperature": True},
|
||||
"meta/llama2-70b": {"token_limit": 4096, "supports_temperature": True},
|
||||
"microsoft/phi-3-mini-128k-instruct": {
|
||||
"token_limit": 122880,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistralai/mistral-7b-instruct-v0.2": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"mistralai/mistral-large": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistralai/mistral-large": {"token_limit": 8192, "supports_temperature": True},
|
||||
"mistralai/mixtral-8x22b-instruct-v0.1": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistralai/mixtral-8x7b-instruct-v0.1": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"snowflake/arctic": {
|
||||
"token_limit": 16384,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"snowflake/arctic": {"token_limit": 16384, "supports_temperature": True},
|
||||
},
|
||||
"groq": {
|
||||
"llama3-8b-8192": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"llama3-70b-8192": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"mixtral-8x7b-32768": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"gemma-7b-it": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude-3-haiku-20240307'": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"llama3-8b-8192": {"token_limit": 8192, "supports_temperature": True},
|
||||
"llama3-70b-8192": {"token_limit": 8192, "supports_temperature": True},
|
||||
"mixtral-8x7b-32768": {"token_limit": 32768, "supports_temperature": True},
|
||||
"gemma-7b-it": {"token_limit": 8192, "supports_temperature": True},
|
||||
"claude-3-haiku-20240307'": {"token_limit": 8192, "supports_temperature": True},
|
||||
},
|
||||
"toghetherai": {
|
||||
"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistralai/Mixtral-8x22B-Instruct-v0.1": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"stabilityai/stable-diffusion-xl-base-1.0": {
|
||||
"token_limit": 2048,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"NousResearch/Hermes-3-Llama-3.1-405B-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"Gryphe/MythoMax-L2-13b-Lite": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"Salesforce/Llama-Rank-V1": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"Salesforce/Llama-Rank-V1": {"token_limit": 8192, "supports_temperature": True},
|
||||
"meta-llama/Meta-Llama-Guard-3-8B": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta-llama/Meta-Llama-3-70B-Instruct-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta-llama/Llama-3-8b-chat-hf": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta-llama/Llama-3-70b-chat-hf": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"Qwen/Qwen2-72B-Instruct": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"google/gemma-2-27b-it": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"google/gemma-2-27b-it": {"token_limit": 8192, "supports_temperature": True},
|
||||
},
|
||||
"anthropic": {
|
||||
"claude_instant": {
|
||||
"token_limit": 100000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude2": {
|
||||
"token_limit": 9000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude2.1": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude3": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude3.5": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude-3-opus-20240229": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"claude_instant": {"token_limit": 100000, "supports_temperature": True},
|
||||
"claude2": {"token_limit": 9000, "supports_temperature": True},
|
||||
"claude2.1": {"token_limit": 200000, "supports_temperature": True},
|
||||
"claude3": {"token_limit": 200000, "supports_temperature": True},
|
||||
"claude3.5": {"token_limit": 200000, "supports_temperature": True},
|
||||
"claude-3-opus-20240229": {"token_limit": 200000, "supports_temperature": True},
|
||||
"claude-3-sonnet-20240229": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"claude-3-haiku-20240307": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"claude-3-5-sonnet-20240620": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"claude-3-5-sonnet-20241022": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"claude-3-5-haiku-latest": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"supports_temperature": True,
|
||||
},
|
||||
},
|
||||
"bedrock": {
|
||||
"anthropic.claude-3-haiku-20240307-v1:0": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"anthropic.claude-3-sonnet-20240229-v1:0": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"anthropic.claude-3-opus-20240229-v1:0": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"anthropic.claude-3-5-sonnet-20240620-v1:0": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"claude-3-5-haiku-latest": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"anthropic.claude-v2:1": {
|
||||
"token_limit": 200000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"anthropic.claude-v2": {
|
||||
"token_limit": 100000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"anthropic.claude-v2:1": {"token_limit": 200000, "supports_temperature": True},
|
||||
"anthropic.claude-v2": {"token_limit": 100000, "supports_temperature": True},
|
||||
"anthropic.claude-instant-v1": {
|
||||
"token_limit": 100000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta.llama3-8b-instruct-v1:0": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta.llama3-70b-instruct-v1:0": {
|
||||
"token_limit": 8192,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta.llama2-13b-chat-v1": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"meta.llama2-70b-chat-v1": {
|
||||
"token_limit": 4096,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"meta.llama2-13b-chat-v1": {"token_limit": 4096, "supports_temperature": True},
|
||||
"meta.llama2-70b-chat-v1": {"token_limit": 4096, "supports_temperature": True},
|
||||
"mistral.mistral-7b-instruct-v0:2": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistral.mixtral-8x7b-instruct-v0:1": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistral.mistral-large-2402-v1:0": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"mistral.mistral-small-2402-v1:0": {
|
||||
"token_limit": 32768,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"amazon.titan-embed-text-v1": {
|
||||
"token_limit": 8000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"amazon.titan-embed-text-v2:0": {
|
||||
"token_limit": 8000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"cohere.embed-english-v3": {
|
||||
"token_limit": 512,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
},
|
||||
"cohere.embed-english-v3": {"token_limit": 512, "supports_temperature": True},
|
||||
"cohere.embed-multilingual-v3": {
|
||||
"token_limit": 512,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"supports_temperature": True,
|
||||
},
|
||||
},
|
||||
"mistralai": {
|
||||
"mistral-large-latest": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"open-mistral-nemo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
},
|
||||
"codestral-latest": {
|
||||
"token_limit": 32000,
|
||||
"supports_temperature": True
|
||||
}
|
||||
"mistral-large-latest": {"token_limit": 128000, "supports_temperature": True},
|
||||
"open-mistral-nemo": {"token_limit": 128000, "supports_temperature": True},
|
||||
"codestral-latest": {"token_limit": 32000, "supports_temperature": True},
|
||||
},
|
||||
"togetherai": {
|
||||
"Meta-Llama-3.1-70B-Instruct-Turbo": {
|
||||
"token_limit": 128000,
|
||||
"supports_temperature": True
|
||||
"supports_temperature": True,
|
||||
}
|
||||
}
|
||||
},
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2,4 +2,4 @@
|
|||
|
||||
from .server import run_server
|
||||
|
||||
__all__ = ['run_server']
|
||||
__all__ = ["run_server"]
|
||||
|
|
|
|||
|
|
@ -1,17 +1,17 @@
|
|||
"""Web interface server implementation for RA.Aid."""
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
import shutil
|
||||
import sys
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import List, Dict, Any
|
||||
from typing import Any, Dict, List
|
||||
|
||||
import uvicorn
|
||||
from fastapi import FastAPI, WebSocket, Request, WebSocketDisconnect
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.responses import HTMLResponse
|
||||
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import HTMLResponse
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.templating import Jinja2Templates
|
||||
|
||||
# Configure logging
|
||||
|
|
@ -19,8 +19,10 @@ logging.basicConfig(level=logging.DEBUG) # Set to DEBUG for more info
|
|||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Verify ra-aid is available
|
||||
if not shutil.which('ra-aid'):
|
||||
logger.error("ra-aid command not found. Please ensure it's installed and in your PATH")
|
||||
if not shutil.which("ra-aid"):
|
||||
logger.error(
|
||||
"ra-aid command not found. Please ensure it's installed and in your PATH"
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
app = FastAPI()
|
||||
|
|
@ -45,6 +47,7 @@ logger.info(f"Using static directory: {STATIC_DIR}")
|
|||
# Setup templates
|
||||
templates = Jinja2Templates(directory=str(STATIC_DIR))
|
||||
|
||||
|
||||
class ConnectionManager:
|
||||
def __init__(self):
|
||||
self.active_connections: List[WebSocket] = []
|
||||
|
|
@ -73,77 +76,84 @@ class ConnectionManager:
|
|||
|
||||
async def handle_error(self, websocket: WebSocket, error_message: str):
|
||||
try:
|
||||
await websocket.send_json({
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [{
|
||||
"content": f"Error: {error_message}",
|
||||
"status": "error"
|
||||
}]
|
||||
}
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [
|
||||
{
|
||||
"content": f"Error: {error_message}",
|
||||
"status": "error",
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
}
|
||||
})
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error sending error message: {e}")
|
||||
|
||||
|
||||
manager = ConnectionManager()
|
||||
|
||||
|
||||
@app.get("/", response_class=HTMLResponse)
|
||||
async def get_root(request: Request):
|
||||
"""Serve the index.html file with port parameter."""
|
||||
return templates.TemplateResponse(
|
||||
"index.html",
|
||||
{"request": request, "server_port": request.url.port or 8080}
|
||||
"index.html", {"request": request, "server_port": request.url.port or 8080}
|
||||
)
|
||||
|
||||
|
||||
# Mount static files for js and other assets
|
||||
app.mount("/static", StaticFiles(directory=str(STATIC_DIR)), name="static")
|
||||
|
||||
|
||||
@app.websocket("/ws")
|
||||
async def websocket_endpoint(websocket: WebSocket):
|
||||
client_id = id(websocket)
|
||||
logger.info(f"New WebSocket connection attempt from client {client_id}")
|
||||
|
||||
|
||||
if not await manager.connect(websocket):
|
||||
logger.error(f"Failed to accept WebSocket connection for client {client_id}")
|
||||
return
|
||||
|
||||
logger.info(f"WebSocket connection accepted for client {client_id}")
|
||||
|
||||
|
||||
try:
|
||||
# Send initial connection success message
|
||||
await manager.send_message(websocket, {
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"agent": {
|
||||
"messages": [{
|
||||
"content": "Connected to RA.Aid server",
|
||||
"status": "info"
|
||||
}]
|
||||
}
|
||||
}
|
||||
})
|
||||
|
||||
await manager.send_message(
|
||||
websocket,
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"agent": {
|
||||
"messages": [
|
||||
{"content": "Connected to RA.Aid server", "status": "info"}
|
||||
]
|
||||
}
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
while True:
|
||||
try:
|
||||
message = await websocket.receive_json()
|
||||
logger.debug(f"Received message from client {client_id}: {message}")
|
||||
|
||||
|
||||
if message["type"] == "request":
|
||||
await manager.send_message(websocket, {
|
||||
"type": "stream_start"
|
||||
})
|
||||
|
||||
await manager.send_message(websocket, {"type": "stream_start"})
|
||||
|
||||
try:
|
||||
# Run ra-aid with the request
|
||||
cmd = ["ra-aid", "-m", message["content"], "--cowboy-mode"]
|
||||
logger.info(f"Executing command: {' '.join(cmd)}")
|
||||
|
||||
|
||||
process = await asyncio.create_subprocess_exec(
|
||||
*cmd,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE
|
||||
stderr=asyncio.subprocess.PIPE,
|
||||
)
|
||||
logger.info(f"Process started with PID: {process.pid}")
|
||||
|
||||
|
|
@ -152,27 +162,36 @@ async def websocket_endpoint(websocket: WebSocket):
|
|||
line = await stream.readline()
|
||||
if not line:
|
||||
break
|
||||
|
||||
|
||||
try:
|
||||
decoded_line = line.decode().strip()
|
||||
if decoded_line:
|
||||
await manager.send_message(websocket, {
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools" if is_error else "agent": {
|
||||
"messages": [{
|
||||
"content": decoded_line,
|
||||
"status": "error" if is_error else "info"
|
||||
}]
|
||||
}
|
||||
}
|
||||
})
|
||||
await manager.send_message(
|
||||
websocket,
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools" if is_error else "agent": {
|
||||
"messages": [
|
||||
{
|
||||
"content": decoded_line,
|
||||
"status": "error"
|
||||
if is_error
|
||||
else "info",
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
},
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing output: {e}")
|
||||
|
||||
# Create tasks for reading stdout and stderr
|
||||
stdout_task = asyncio.create_task(read_stream(process.stdout))
|
||||
stderr_task = asyncio.create_task(read_stream(process.stderr, True))
|
||||
stderr_task = asyncio.create_task(
|
||||
read_stream(process.stderr, True)
|
||||
)
|
||||
|
||||
# Wait for both streams to complete
|
||||
await asyncio.gather(stdout_task, stderr_task)
|
||||
|
|
@ -182,23 +201,22 @@ async def websocket_endpoint(websocket: WebSocket):
|
|||
|
||||
if return_code != 0:
|
||||
await manager.handle_error(
|
||||
websocket,
|
||||
f"Process exited with code {return_code}"
|
||||
websocket, f"Process exited with code {return_code}"
|
||||
)
|
||||
|
||||
await manager.send_message(websocket, {
|
||||
"type": "stream_end",
|
||||
"request": message["content"]
|
||||
})
|
||||
|
||||
|
||||
await manager.send_message(
|
||||
websocket,
|
||||
{"type": "stream_end", "request": message["content"]},
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error executing ra-aid: {e}")
|
||||
await manager.handle_error(websocket, str(e))
|
||||
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing message: {e}")
|
||||
await manager.handle_error(websocket, str(e))
|
||||
|
||||
|
||||
except WebSocketDisconnect:
|
||||
logger.info(f"WebSocket client {client_id} disconnected")
|
||||
except Exception as e:
|
||||
|
|
@ -207,6 +225,7 @@ async def websocket_endpoint(websocket: WebSocket):
|
|||
manager.disconnect(websocket)
|
||||
logger.info(f"WebSocket connection cleaned up for client {client_id}")
|
||||
|
||||
|
||||
def run_server(host: str = "0.0.0.0", port: int = 8080):
|
||||
"""Run the FastAPI server."""
|
||||
logger.info(f"Starting server on {host}:{port}")
|
||||
|
|
@ -216,5 +235,5 @@ def run_server(host: str = "0.0.0.0", port: int = 8080):
|
|||
port=port,
|
||||
log_level="debug",
|
||||
ws_max_size=16777216, # 16MB
|
||||
timeout_keep_alive=0 # Disable keep-alive timeout
|
||||
)
|
||||
timeout_keep_alive=0, # Disable keep-alive timeout
|
||||
)
|
||||
|
|
|
|||
|
|
@ -248,26 +248,28 @@ def test_create_agent_anthropic_token_limiting_disabled(mock_model, mock_memory)
|
|||
assert agent == "react_agent"
|
||||
mock_react.assert_called_once_with(mock_model, [])
|
||||
|
||||
|
||||
def test_get_model_token_limit_research(mock_memory):
|
||||
"""Test get_model_token_limit with research provider and model."""
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"model": "gpt-4",
|
||||
"research_provider": "anthropic",
|
||||
"research_model": "claude-2"
|
||||
"research_model": "claude-2",
|
||||
}
|
||||
with patch("ra_aid.agent_utils.get_model_info") as mock_get_info:
|
||||
mock_get_info.return_value = {"max_input_tokens": 150000}
|
||||
token_limit = get_model_token_limit(config, "research")
|
||||
assert token_limit == 150000
|
||||
|
||||
|
||||
def test_get_model_token_limit_planner(mock_memory):
|
||||
"""Test get_model_token_limit with planner provider and model."""
|
||||
config = {
|
||||
"provider": "openai",
|
||||
"model": "gpt-4",
|
||||
"planner_provider": "deepseek",
|
||||
"planner_model": "dsm-1"
|
||||
"planner_model": "dsm-1",
|
||||
}
|
||||
with patch("ra_aid.agent_utils.get_model_info") as mock_get_info:
|
||||
mock_get_info.return_value = {"max_input_tokens": 120000}
|
||||
|
|
|
|||
161
webui/server.py
161
webui/server.py
|
|
@ -1,22 +1,23 @@
|
|||
#!/usr/bin/env python3
|
||||
import asyncio
|
||||
import argparse
|
||||
import json
|
||||
import sys
|
||||
import asyncio
|
||||
import shutil
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from typing import List, Dict, Any
|
||||
from typing import List
|
||||
|
||||
import uvicorn
|
||||
from fastapi import FastAPI, WebSocket, Request, WebSocketDisconnect
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.responses import HTMLResponse
|
||||
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import HTMLResponse
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
from fastapi.templating import Jinja2Templates
|
||||
|
||||
# Verify ra-aid is available
|
||||
if not shutil.which('ra-aid'):
|
||||
print("Error: ra-aid command not found. Please ensure it's installed and in your PATH")
|
||||
if not shutil.which("ra-aid"):
|
||||
print(
|
||||
"Error: ra-aid command not found. Please ensure it's installed and in your PATH"
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
app = FastAPI()
|
||||
|
|
@ -33,15 +34,16 @@ app.add_middleware(
|
|||
# Setup templates
|
||||
templates = Jinja2Templates(directory=Path(__file__).parent)
|
||||
|
||||
|
||||
# Create a route for the root to serve index.html with port parameter
|
||||
@app.get("/", response_class=HTMLResponse)
|
||||
async def get_root(request: Request):
|
||||
"""Serve the index.html file with port parameter."""
|
||||
return templates.TemplateResponse(
|
||||
"index.html",
|
||||
{"request": request, "server_port": request.url.port or 8080}
|
||||
"index.html", {"request": request, "server_port": request.url.port or 8080}
|
||||
)
|
||||
|
||||
|
||||
# Mount static files for js and other assets
|
||||
app.mount("/static", StaticFiles(directory=Path(__file__).parent), name="static")
|
||||
|
||||
|
|
@ -50,36 +52,35 @@ app.mount("/static", StaticFiles(directory=Path(__file__).parent), name="static"
|
|||
# Store active WebSocket connections
|
||||
active_connections: List[WebSocket] = []
|
||||
|
||||
|
||||
@app.websocket("/ws")
|
||||
async def websocket_endpoint(websocket: WebSocket):
|
||||
print(f"New WebSocket connection from {websocket.client}")
|
||||
await websocket.accept()
|
||||
print("WebSocket connection accepted")
|
||||
active_connections.append(websocket)
|
||||
|
||||
|
||||
try:
|
||||
while True:
|
||||
print("Waiting for message...")
|
||||
message = await websocket.receive_json()
|
||||
print(f"Received message: {message}")
|
||||
|
||||
|
||||
if message["type"] == "request":
|
||||
print(f"Processing request: {message['content']}")
|
||||
# Notify client that streaming is starting
|
||||
await websocket.send_json({
|
||||
"type": "stream_start"
|
||||
})
|
||||
|
||||
await websocket.send_json({"type": "stream_start"})
|
||||
|
||||
try:
|
||||
# Run ra-aid with the request using -m flag and cowboy mode
|
||||
cmd = ["ra-aid", "-m", message["content"], "--cowboy-mode"]
|
||||
print(f"Executing command: {' '.join(cmd)}")
|
||||
|
||||
|
||||
# Create subprocess
|
||||
process = await asyncio.create_subprocess_exec(
|
||||
*cmd,
|
||||
stdout=asyncio.subprocess.PIPE,
|
||||
stderr=asyncio.subprocess.PIPE
|
||||
stderr=asyncio.subprocess.PIPE,
|
||||
)
|
||||
print(f"Process started with PID: {process.pid}")
|
||||
|
||||
|
|
@ -92,22 +93,30 @@ async def websocket_endpoint(websocket: WebSocket):
|
|||
if not line:
|
||||
print(f"End of {stream_type} stream")
|
||||
break
|
||||
|
||||
|
||||
try:
|
||||
decoded_line = line.decode().strip()
|
||||
print(f"{stream_type} line: {decoded_line}")
|
||||
if decoded_line:
|
||||
await websocket.send_json({
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools" if is_error else "agent": {
|
||||
"messages": [{
|
||||
"content": decoded_line,
|
||||
"status": "error" if is_error else "info"
|
||||
}]
|
||||
}
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools" if is_error else "agent": {
|
||||
"messages": [
|
||||
{
|
||||
"content": decoded_line,
|
||||
"status": (
|
||||
"error"
|
||||
if is_error
|
||||
else "info"
|
||||
),
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
}
|
||||
})
|
||||
)
|
||||
except Exception as e:
|
||||
print(f"Error sending output: {e}")
|
||||
|
||||
|
|
@ -122,74 +131,80 @@ async def websocket_endpoint(websocket: WebSocket):
|
|||
return_code = await process.wait()
|
||||
|
||||
if return_code != 0:
|
||||
await websocket.send_json({
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [{
|
||||
"content": f"Process exited with code {return_code}",
|
||||
"status": "error"
|
||||
}]
|
||||
}
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [
|
||||
{
|
||||
"content": f"Process exited with code {return_code}",
|
||||
"status": "error",
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
}
|
||||
})
|
||||
|
||||
)
|
||||
|
||||
# Notify client that streaming is complete
|
||||
await websocket.send_json({
|
||||
"type": "stream_end",
|
||||
"request": message["content"]
|
||||
})
|
||||
|
||||
await websocket.send_json(
|
||||
{"type": "stream_end", "request": message["content"]}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
error_msg = f"Error executing ra-aid: {str(e)}"
|
||||
print(error_msg)
|
||||
await websocket.send_json({
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [{
|
||||
"content": error_msg,
|
||||
"status": "error"
|
||||
}]
|
||||
}
|
||||
await websocket.send_json(
|
||||
{
|
||||
"type": "chunk",
|
||||
"chunk": {
|
||||
"tools": {
|
||||
"messages": [
|
||||
{"content": error_msg, "status": "error"}
|
||||
]
|
||||
}
|
||||
},
|
||||
}
|
||||
})
|
||||
|
||||
)
|
||||
|
||||
except WebSocketDisconnect:
|
||||
print(f"WebSocket client disconnected")
|
||||
print("WebSocket client disconnected")
|
||||
active_connections.remove(websocket)
|
||||
except Exception as e:
|
||||
print(f"WebSocket error: {e}")
|
||||
try:
|
||||
await websocket.send_json({
|
||||
"type": "error",
|
||||
"error": str(e)
|
||||
})
|
||||
except:
|
||||
await websocket.send_json({"type": "error", "error": str(e)})
|
||||
except Exception:
|
||||
pass
|
||||
finally:
|
||||
if websocket in active_connections:
|
||||
active_connections.remove(websocket)
|
||||
print("WebSocket connection cleaned up")
|
||||
|
||||
|
||||
@app.get("/config")
|
||||
async def get_config(request: Request):
|
||||
"""Return server configuration including host and port."""
|
||||
return {
|
||||
"host": request.client.host,
|
||||
"port": request.scope.get("server")[1]
|
||||
}
|
||||
return {"host": request.client.host, "port": request.scope.get("server")[1]}
|
||||
|
||||
|
||||
def run_server(host: str = "0.0.0.0", port: int = 8080):
|
||||
"""Run the FastAPI server."""
|
||||
uvicorn.run(app, host=host, port=port)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(description="RA.Aid Web Interface Server")
|
||||
parser.add_argument("--port", type=int, default=8080,
|
||||
help="Port to listen on (default: 8080)")
|
||||
parser.add_argument("--host", type=str, default="0.0.0.0",
|
||||
help="Host to listen on (default: 0.0.0.0)")
|
||||
|
||||
parser.add_argument(
|
||||
"--port", type=int, default=8080, help="Port to listen on (default: 8080)"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--host",
|
||||
type=str,
|
||||
default="0.0.0.0",
|
||||
help="Host to listen on (default: 0.0.0.0)",
|
||||
)
|
||||
|
||||
args = parser.parse_args()
|
||||
run_server(host=args.host, port=args.port)
|
||||
run_server(host=args.host, port=args.port)
|
||||
|
|
|
|||
Loading…
Reference in New Issue