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Merged
nikitabugrovsky merged 1 commit into from
Nov 27, 2025
Merged

Add more settings to config #65

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3 changes: 3 additions & 0 deletions rcav2/config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,9 @@ class Settings(BaseSettings):
LLM_GEMINI_KEY: str

# Model config
LLM_MODEL_NAME: str = "gemini-2.5-pro"
LLM_THINKING_LEVEL: str = "LOW" # gemini 3 models
LLM_MAX_TOKENS: int = 1024 * 1024
LLM_TEMPERATURE: float = 0.2
RCA_IGNORE_LINES: str | None = None
DSPY_CACHE: bool = False
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24 changes: 16 additions & 8 deletions rcav2/model.py
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Expand Up @@ -53,26 +53,35 @@ def __exit__(self, *args):
return False


def get_lm(settings: Settings, name: str, max_tokens: int) -> dspy.LM:
def get_lm(settings: Settings) -> dspy.LM:
name = settings.LLM_MODEL_NAME
kwargs = {
"temperature": settings.LLM_TEMPERATURE,
"max_tokens": max_tokens,
"max_tokens": settings.LLM_MAX_TOKENS,
"api_key": settings.LLM_GEMINI_KEY,
}
model_version = name.split("-")[1]
if model_version.startswith("3"):
from google import genai
from google.genai import types

# Thinking levels: https://ai.google.dev/gemini-api/docs/thinking#thinking-levels
match settings.LLM_THINKING_LEVEL.upper():
case "HIGH":
thinking_level = types.ThinkingLevel.HIGH
case "LOW":
thinking_level = types.ThinkingLevel.LOW
case _:
thinking_level = types.ThinkingLevel.LOW

thinking_config = types.GenerateContentConfig(
thinking_config=types.ThinkingConfig(
thinking_level=types.ThinkingLevel.HIGH, # accepted: HIGH, LOW, potentially MEDIUM
thinking_level=thinking_level,
)
)
kwargs["config"] = thinking_config
return dspy.LM(f"gemini/{name}", **kwargs)


# From: https://dspy.ai/tutorials/observability/?h=callback#building-a-custom-logging-solution
# 1. Define a custom callback class that extends BaseCallback class
class AgentLoggingCallback(BaseCallback):
Expand All @@ -98,7 +107,7 @@ def init_dspy(settings: Settings) -> None:
if settings.DSPY_DEBUG:
callbacks.append(AgentLoggingCallback())
dspy.configure(
lm=get_lm(settings, "gemini-2.5-pro", 1024 * 1024),
lm=get_lm(settings),
callbacks=callbacks,
)
return
Expand All @@ -112,8 +121,7 @@ def init_dspy(settings: Settings) -> None:
log_graph=True,
)
dspy.configure(
# lm=get_lm(settings, "gemini-3-pro-preview", 1024 * 1024),
lm=get_lm(settings, "gemini-2.5-pro", 1024 * 1024),
lm=get_lm(settings),
callbacks=[opik_callback],
)
print(
Expand All @@ -122,7 +130,7 @@ def init_dspy(settings: Settings) -> None:
except Exception as e:
print(f"Failed to configure Opik: {e}")
print("Falling back to DSPy without Opik tracing")
dspy.configure(lm=get_lm(settings, "gemini-2.5-pro", 1024 * 1024))
dspy.configure(lm=get_lm(settings))


async def emit_dspy_usage(result, worker):
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