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feat: enhance agent configuration and model management with per-agent overrides

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This commit is contained in:
Roberto Musso
2026-04-10 08:45:14 +02:00
parent 7253f6fe72
commit 3cf067faea
9 changed files with 106 additions and 22 deletions
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15
app/core/deep_agent.py
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@@ -17,8 +17,7 @@ from app.agents.project_agent import PROJECT_TOOLS
from app.agents.task_agent import TASK_TOOLS
from app.agents.timeline_agent import TIMELINE_TOOLS
from app.core.langfuse_client import extract_usage, get_langfuse, get_prompt_or_fallback
from app.core.llm import get_llm
from app.config.settings import settings
from app.core.llm import get_agent_llm, model_for_agent
from app.core.memory_middleware import MemoryMiddleware
from app.core.ws_context import clear_tool_result_collector, execute_on_client, set_tool_result_collector
from app.db import async_session
@@ -537,7 +536,7 @@ async def _infer_floating_domain(message: str, context: dict[str, Any]) -> dict[
}
try:
llm = get_llm()
llm = get_agent_llm("classifier")
classifier_messages = [
SystemMessage(content=_FLOATING_DOMAIN_CLASSIFIER_PROMPT),
HumanMessage(
@@ -555,7 +554,7 @@ async def _infer_floating_domain(message: str, context: dict[str, Any]) -> dict[
with lf.start_as_current_observation(
as_type="generation",
name="floating-classifier",
model=settings.LLM_MODEL,
model=model_for_agent("classifier"),
prompt=classifier_prompt_obj,
input=classifier_messages,
) as gen:
@@ -592,7 +591,7 @@ async def _run_single_agent(
) -> str:
trace_id = _trace_id_from_context(context)
lf = get_langfuse()
llm = get_llm()
llm = get_agent_llm(agent_name)
tools = _all_tools_for_user(user_id, trace_id)
model_context = _context_for_model(context)
logger.info("deep_agent: run_single_agent_start trace=%s user=%s", trace_id or "-", user_id)
@@ -628,7 +627,7 @@ async def _run_single_agent(
lf.start_as_current_observation(
as_type="generation",
name=f"{agent_name}-llm",
model=settings.LLM_MODEL,
model=model_for_agent(agent_name),
prompt=langfuse_prompt,
input=messages,
)
@@ -715,7 +714,7 @@ async def _run_single_agent_stream(
) -> AsyncGenerator[tuple[str, Any], None]:
trace_id = _trace_id_from_context(context)
lf = get_langfuse()
llm = get_llm()
llm = get_agent_llm(agent_name)
tools = _all_tools_for_user(user_id, trace_id)
model_context = _context_for_model(context)
logger.info("deep_agent: run_single_agent_stream_start trace=%s user=%s", trace_id or "-", user_id)
@@ -753,7 +752,7 @@ async def _run_single_agent_stream(
lf.start_as_current_observation(
as_type="generation",
name=f"{agent_name}-llm",
model=settings.LLM_MODEL,
model=model_for_agent(agent_name),
prompt=langfuse_prompt,
input=messages,
)