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Update to support BrainForge streaming responses #40

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Merged
NeonDaniel merged 1 commit into from
Aug 31, 2026
Merged

Update to support BrainForge streaming responses #40

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13 changes: 7 additions & 6 deletions neon_data_models/models/api/mq/brainforge.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@
from pydantic import Field

from neon_data_models.models.base.contexts import MQContext
from neon_data_models.models.base.mq import MQResponse
from neon_data_models.models.api.llm import BrainForgeLLM, LLMRequest, LLMResponse, LLMPersona
from neon_data_models.models.api.http.brainforge import LLMGetModelsHttpResponse, LLMGetPersonasHttpRequest

Expand All @@ -37,7 +38,7 @@ class LLMGetModels(MQContext):
description="ID of user to get models for")


class LLMGetModelsResponse(MQContext, LLMGetModelsHttpResponse):
class LLMGetModelsResponse(MQResponse, LLMGetModelsHttpResponse):
pass


Expand All @@ -51,7 +52,7 @@ def model_version(self):
return self.model_id.split("@", 1)[1]


class LLMGetPersonasResponse(MQContext):
class LLMGetPersonasResponse(MQResponse):
model: Optional[BrainForgeLLM] = Field(
"Full configuration of requested model if model is loaded and access "
"is allowed, else None.")
Expand All @@ -64,7 +65,7 @@ def personas(self) -> List[LLMPersona]:
return self.model.personas if self.model else []


class LLMGetInference(LLMRequest, MQContext):
class LLMGetInference(LLMRequest, MQResponse):
user_id: str = Field("ID of user making the request")

def as_llm_request(self):
Expand All @@ -80,7 +81,7 @@ class LLMGetCompletion(LLMGetModels):
description="Dictionary of kwargs to pass to OpenAI completion request")


class LLMGetCompletionResponse(MQContext):
class LLMGetCompletionResponse(MQResponse):
openai_response: dict = Field(
description="OpenAI ChatCompletion model")

Expand All @@ -98,12 +99,12 @@ class LLMGetTokenizerChatTemplatedString(LLMGetModels):
"else a single string")


class LLMGetTokenizerChatTemplatedStringResponse(MQContext):
class LLMGetTokenizerChatTemplatedStringResponse(MQResponse):
prompt: Union[List[str], str] = Field(
description="Prompt generated by the tokenizer")


class LLMGetInferenceResponse(LLMResponse, MQContext):
class LLMGetInferenceResponse(LLMResponse, MQResponse):
pass


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