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

app/api/routes/agent_setup.py

@@ -32,9 +32,8 @@ from typing import Any
 from langchain_core.messages import AIMessage, HumanMessage, SystemMessage, ToolMessage
 
 from app.agents.filesystem_agent import make_directory_tools
-from app.config.settings import settings
 from app.core.langfuse_client import compile_prompt, extract_usage, get_langfuse, get_prompt_or_fallback
-from app.core.llm import get_llm
+from app.core.llm import get_agent_llm, model_for_agent
 from app.schemas import AgentConfig
 
 logger = logging.getLogger(__name__)
@@ -257,7 +256,7 @@ async def _call_llm_with_tools(
         else:
             messages.append(AIMessage(content=turn["content"]))
 
-    llm = get_llm(model=None, temperature=0.4)
+    llm = get_agent_llm("setup", temperature=0.4)
     llm_with_tools = llm.bind_tools(tools)
     tool_map = {tool_def.name: tool_def for tool_def in tools}
 
@@ -278,7 +277,7 @@ async def _call_llm_with_tools(
                 lf.start_as_current_observation(
                     as_type="generation",
                     name="journey-setup-llm",
-                    model=settings.LLM_MODEL,
+                    model=model_for_agent("setup"),
                     prompt=langfuse_prompt,
                     input=messages,
                 )

app/api/routes/agents.py

@@ -177,6 +177,12 @@ async def trigger_agent_run(
     _enforce_agent_limit(current_user.tier, body.active_agents)
     await _enforce_run_frequency(current_user.tier, current_user.id, db)
 
+    last_run_dt = (
+        datetime.fromtimestamp(body.last_run_at / 1000, tz=timezone.utc)
+        if body.last_run_at
+        else None
+    )
+
     config = LocalAgentConfig(
         id=str(uuid.uuid4()),
         user_id=current_user.id,
@@ -184,10 +190,12 @@ async def trigger_agent_run(
         name="Local Directory Monitor",
         directory_paths=[body.directory],
         data_types=_to_data_types(body.what_to_extract),
-        prompt_template=body.custom_agent_prompt,
+        prompt_template=body.custom_agent_prompt or "",
+        agent_config=body.agent_config,
         file_extensions=[],
         schedule_cron=body.batch_interval,
         enabled=True,
+        last_run_at=last_run_dt,
     )
 
     # Use the FE's stable agent_id if provided, fall back to the ephemeral config id.