Update models.py
Browse files
models.py
CHANGED
@@ -1,5 +1,4 @@
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# models.py
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from dataclasses import dataclass
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from typing import List, Optional
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@@ -9,11 +8,10 @@ class ModelInfo:
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Represents metadata for an inference model.
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Attributes:
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name: Human
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id: Unique model identifier (HF
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description: Short description of the model's capabilities.
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default_provider: Preferred inference provider
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("auto", "groq", "openai", "gemini", "fireworks").
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"""
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name: str
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id: str
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@@ -24,90 +22,83 @@ class ModelInfo:
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# Registry of supported models
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AVAILABLE_MODELS: List[ModelInfo] = [
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ModelInfo(
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name="Moonshot Kimi
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id="moonshotai/Kimi
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description="Moonshot AI Kimi
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default_provider="groq"
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),
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ModelInfo(
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name="DeepSeek V3",
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id="deepseek
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description="DeepSeek V3 model for code generation"
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),
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ModelInfo(
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name="DeepSeek R1",
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id="deepseek
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description="DeepSeek R1 model for code generation"
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),
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ModelInfo(
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name="ERNIE
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id="baidu/ERNIE
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description="ERNIE
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),
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ModelInfo(
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name="MiniMax M1",
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id="MiniMaxAI/MiniMax
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description="MiniMax M1 model for code generation and general tasks"
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),
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ModelInfo(
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name="Qwen3‑235B‑A22B",
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id="Qwen/Qwen3‑235B‑A22B",
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description="Qwen3‑235B‑A22B model for code generation and general tasks"
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),
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ModelInfo(
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name="Qwen3‑235B‑A22B‑Instruct‑2507",
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id="Qwen/Qwen3‑235B‑A22B‑Instruct‑2507",
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description="Qwen3‑235B‑A22B‑Instruct‑2507 model for code generation and general tasks"
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),
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ModelInfo(
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name="Qwen3
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id="Qwen/Qwen3
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description="Qwen3
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),
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ModelInfo(
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name="
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id="
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description="
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),
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ModelInfo(
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name="
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id="
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description="
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),
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ModelInfo(
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name="
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id="
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description="
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),
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ModelInfo(
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name="OpenAI GPT‑4",
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id="openai/gpt‑4",
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description="OpenAI GPT‑4 via HF Inference Providers",
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default_provider="openai"
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),
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ModelInfo(
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name="Gemini Pro",
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id="gemini/pro",
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description="Google Gemini Pro via
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default_provider="gemini"
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),
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ModelInfo(
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name="Fireworks AI",
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id="fireworks
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description="Fireworks AI via
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default_provider="fireworks"
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),
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]
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def find_model(identifier: str) -> Optional[ModelInfo]:
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"""
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Lookup a model by its human name
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Returns:
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The matching ModelInfo or None if not found.
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"""
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for m in AVAILABLE_MODELS:
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if m.id == identifier or m.name.lower() ==
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return m
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return None
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# models.py
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from dataclasses import dataclass
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from typing import List, Optional
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Represents metadata for an inference model.
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Attributes:
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name: Human-readable name of the model.
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id: Unique model identifier (HF/externally routed).
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description: Short description of the model's capabilities.
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default_provider: Preferred inference provider ("auto", "groq", "openai", "gemini", "fireworks").
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"""
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name: str
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id: str
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# Registry of supported models
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AVAILABLE_MODELS: List[ModelInfo] = [
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ModelInfo(
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name="Moonshot Kimi-K2",
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id="moonshotai/Kimi-K2-Instruct",
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description="Moonshot AI Kimi-K2-Instruct model for code generation and general tasks",
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default_provider="groq"
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),
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ModelInfo(
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name="DeepSeek V3",
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id="deepseek-ai/DeepSeek-V3-0324",
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description="DeepSeek V3 model for code generation",
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),
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ModelInfo(
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name="DeepSeek R1",
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id="deepseek-ai/DeepSeek-R1-0528",
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description="DeepSeek R1 model for code generation",
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),
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ModelInfo(
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name="ERNIE-4.5-VL",
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id="baidu/ERNIE-4.5-VL-424B-A47B-Base-PT",
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description="ERNIE-4.5-VL model for multimodal code generation with image support",
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),
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ModelInfo(
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name="MiniMax M1",
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id="MiniMaxAI/MiniMax-M1-80k",
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description="MiniMax M1 model for code generation and general tasks",
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),
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ModelInfo(
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name="Qwen3-235B-A22B",
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id="Qwen/Qwen3-235B-A22B",
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description="Qwen3-235B-A22B model for code generation and general tasks",
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),
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ModelInfo(
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name="SmolLM3-3B",
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id="HuggingFaceTB/SmolLM3-3B",
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description="SmolLM3-3B model for code generation and general tasks",
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),
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ModelInfo(
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name="GLM-4.1V-9B-Thinking",
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id="THUDM/GLM-4.1V-9B-Thinking",
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description="GLM-4.1V-9B-Thinking model for multimodal code generation with image support",
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),
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ModelInfo(
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name="OpenAI GPT-4",
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id="openai/gpt-4",
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description="OpenAI GPT-4 model via Inference Providers",
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default_provider="openai"
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),
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ModelInfo(
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name="Gemini Pro",
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id="gemini/pro",
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description="Google Gemini Pro model via Inference Providers",
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default_provider="gemini"
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),
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ModelInfo(
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name="Fireworks AI",
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id="fireworks-ai/fireworks-v1",
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description="Fireworks AI model via Inference Providers",
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default_provider="fireworks"
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),
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ModelInfo(
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name="Qwen3-32B",
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id="Qwen/Qwen3-32B",
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description="Qwen3-32B model for high-capacity code and text generation",
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),
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]
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def find_model(identifier: str) -> Optional[ModelInfo]:
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"""
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Lookup a model by its human name or identifier.
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Args:
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identifier: ModelInfo.name (case-insensitive) or ModelInfo.id
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Returns:
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The matching ModelInfo or None if not found.
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"""
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key = identifier.lower()
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for m in AVAILABLE_MODELS:
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if m.id == identifier or m.name.lower() == key:
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return m
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return None
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