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Merged
seanfromthepast merged 1 commit into from
Mar 14, 2026
Merged

feat: add Nemotron and Hermes model families #19

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30 changes: 30 additions & 0 deletions app/api/v1/models.py
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Expand Up @@ -141,6 +141,36 @@ def get_configured_models() -> list[ModelInfo]:
capabilities=["image_generation"],
pricing={"prompt": 0.00012, "completion": 0.0},
),
# NVIDIA Nemotron
ModelInfo(
id="nvidia/llama-3.3-nemotron-super-49b-v1.5",
name="Nemotron Super 49B v1.5",
provider="openrouter",
capabilities=["text"],
context_length=131072,
),
ModelInfo(
id="nvidia/llama-3.1-nemotron-70b-instruct",
name="Nemotron 70B Instruct",
provider="openrouter",
capabilities=["text"],
context_length=131072,
),
# NousResearch Hermes
ModelInfo(
id="nousresearch/hermes-4-70b",
name="Hermes 4 70B",
provider="openrouter",
capabilities=["text"],
context_length=131072,
),
ModelInfo(
id="nousresearch/hermes-3-llama-3.1-405b",
name="Hermes 3 405B",
provider="openrouter",
capabilities=["text"],
context_length=131072,
),
])

return models
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10 changes: 7 additions & 3 deletions app/api/v1/timepoints.py
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Expand Up @@ -234,10 +234,14 @@ def _get_permissive_text_model() -> str:
preference = [
"meta-llama/llama-4-scout-17b-16e-instruct",
"meta-llama/llama-4-maverick-17b-128e-instruct",
"deepseek/deepseek-chat-v3-0324", # Fast chat model
"qwen/qwen3-30b-a3b", # Fast MoE model
"nvidia/llama-3.3-nemotron-super-49b-v1.5", # Nemotron Super, fast MoE
"nousresearch/hermes-4-70b", # Hermes 4 70B, strong reasoning
"deepseek/deepseek-chat-v3-0324", # Fast chat model
"qwen/qwen3-30b-a3b", # Fast MoE model
"nvidia/nemotron-3-nano-30b-a3b", # Nemotron Nano, very fast
"nousresearch/hermes-3-llama-3.1-70b", # Hermes 3 70B fallback
"mistralai/mistral-small-3.2-24b-instruct",
"qwen/qwen3-235b-a22b", # Large but non-thinking
"qwen/qwen3-235b-a22b", # Large but non-thinking
"deepseek/deepseek-r1-0528", # Thinking model — slow, last resort
]
for model_id in preference:
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17 changes: 17 additions & 0 deletions app/config.py
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Expand Up @@ -104,6 +104,23 @@ class VerifiedModels:
"google/gemini-2.0-flash-001", # Fast, handles JSON well
"google/gemini-2.0-flash-001:free", # Free tier (rate limited)
"google/gemini-3-flash-preview", # Latest thinking model, agentic workflows
# NVIDIA Nemotron family
"nvidia/llama-3.1-nemotron-70b-instruct",
"nvidia/llama-3.3-nemotron-super-49b-v1.5",
"nvidia/nemotron-3-nano-30b-a3b",
"nvidia/nemotron-3-nano-30b-a3b:free",
"nvidia/nemotron-3-super-120b-a12b:free",
"nvidia/nemotron-nano-12b-v2-vl",
"nvidia/nemotron-nano-12b-v2-vl:free",
"nvidia/nemotron-nano-9b-v2",
"nvidia/nemotron-nano-9b-v2:free",
# NousResearch Hermes family
"nousresearch/hermes-2-pro-llama-3-8b",
"nousresearch/hermes-3-llama-3.1-405b",
"nousresearch/hermes-3-llama-3.1-405b:free",
"nousresearch/hermes-3-llama-3.1-70b",
"nousresearch/hermes-4-405b",
"nousresearch/hermes-4-70b",
]

# Fallback chains - ordered by preference
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167 changes: 167 additions & 0 deletions app/core/model_capabilities.py
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Expand Up @@ -404,6 +404,173 @@ class TextModelConfig:
max_output_tokens=16384,
notes="GPT-4o Mini via OpenRouter",
),
# NVIDIA Nemotron family (via OpenRouter)
"nvidia/llama-3.1-nemotron-70b-instruct": TextModelConfig(
model_id="nvidia/llama-3.1-nemotron-70b-instruct",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron 70B instruct, strong reasoning",
),
"nvidia/llama-3.3-nemotron-super-49b-v1.5": TextModelConfig(
model_id="nvidia/llama-3.3-nemotron-super-49b-v1.5",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron Super 49B v1.5, efficient MoE",
),
"nvidia/nemotron-3-nano-30b-a3b": TextModelConfig(
model_id="nvidia/nemotron-3-nano-30b-a3b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron 3 Nano 30B, fast MoE (3B active)",
),
"nvidia/nemotron-3-nano-30b-a3b:free": TextModelConfig(
model_id="nvidia/nemotron-3-nano-30b-a3b:free",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron 3 Nano 30B free tier",
),
"nvidia/nemotron-3-super-120b-a12b:free": TextModelConfig(
model_id="nvidia/nemotron-3-super-120b-a12b:free",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron 3 Super 120B free tier, large MoE (12B active)",
),
"nvidia/nemotron-nano-12b-v2-vl": TextModelConfig(
model_id="nvidia/nemotron-nano-12b-v2-vl",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron Nano 12B v2 with vision",
),
"nvidia/nemotron-nano-12b-v2-vl:free": TextModelConfig(
model_id="nvidia/nemotron-nano-12b-v2-vl:free",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron Nano 12B v2 with vision, free tier",
),
"nvidia/nemotron-nano-9b-v2": TextModelConfig(
model_id="nvidia/nemotron-nano-9b-v2",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron Nano 9B v2, compact and fast",
),
"nvidia/nemotron-nano-9b-v2:free": TextModelConfig(
model_id="nvidia/nemotron-nano-9b-v2:free",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Nemotron Nano 9B v2 free tier",
),
# NousResearch Hermes family (via OpenRouter)
"nousresearch/hermes-2-pro-llama-3-8b": TextModelConfig(
model_id="nousresearch/hermes-2-pro-llama-3-8b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 2 Pro 8B, compact function-calling model",
),
"nousresearch/hermes-3-llama-3.1-405b": TextModelConfig(
model_id="nousresearch/hermes-3-llama-3.1-405b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 3 405B, flagship open-weight model",
),
"nousresearch/hermes-3-llama-3.1-405b:free": TextModelConfig(
model_id="nousresearch/hermes-3-llama-3.1-405b:free",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 3 405B free tier",
),
"nousresearch/hermes-3-llama-3.1-70b": TextModelConfig(
model_id="nousresearch/hermes-3-llama-3.1-70b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 3 70B, strong general-purpose model",
),
"nousresearch/hermes-4-405b": TextModelConfig(
model_id="nousresearch/hermes-4-405b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 4 405B, latest flagship",
),
"nousresearch/hermes-4-70b": TextModelConfig(
model_id="nousresearch/hermes-4-70b",
provider="openrouter",
supports_json_schema=False,
supports_json_mode=True,
supports_function_calling=True,
supports_streaming=True,
supports_extended_thinking=False,
max_output_tokens=8192,
notes="Hermes 4 70B, strong reasoning",
),
}

# Default config for unknown models (conservative - assume JSON mode works)
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10 changes: 6 additions & 4 deletions app/core/model_policy.py
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Expand Up @@ -13,15 +13,16 @@
"microsoft/", # Phi family
"google/gemma", # Gemma open-weight
"allenai/",
"nvidia/",
"nvidia/", # Nemotron family
"nousresearch/", # Hermes family (open-weight)
"black-forest-labs/", # FLUX open-weight image models
)

# Google-native model prefixes (always restricted)
GOOGLE_MODEL_PREFIXES = ("gemini", "imagen", "flux-schnell")

# Prefixes routed through OpenRouter (may be restricted or permissive)
OPENROUTER_PREFIXES = ("meta-llama/", "anthropic/", "mistralai/", "openai/", "deepseek/", "qwen/", "microsoft/", "black-forest-labs/")
OPENROUTER_PREFIXES = ("meta-llama/", "anthropic/", "mistralai/", "openai/", "deepseek/", "qwen/", "microsoft/", "nvidia/", "nousresearch/", "black-forest-labs/")


def derive_model_provider(model_id: str | None) -> str:
Expand All @@ -47,8 +48,9 @@ def is_model_permissive(model_id: str | None) -> bool:
def derive_model_permissiveness(model_id: str | None) -> str:
"""Derive distillation licensing permissiveness from a model ID.

Open-weight models (Llama, DeepSeek, Qwen, Mistral, Phi, Gemma) are
'permissive' — safe for distillation and derivative works.
Open-weight models (Llama, DeepSeek, Qwen, Mistral, Phi, Gemma,
Nemotron, Hermes) are 'permissive' — safe for distillation and
derivative works.
Frontier models (Google Gemini, Anthropic, OpenAI) are 'restricted'.
"""
if not model_id:
Expand Down
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