V3 files 1

.gitattributes

@@ -33,69 +33,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Dockerfile-old-version.txt

@@ -1,44 +1,44 @@
-# --- Stage 1: Frontend Builder ---
-FROM node:20-alpine AS frontend-builder
-# Set WORKDIR specifically to the web folder to resolve aliases correctly
-WORKDIR /app/web
-
-# Copy package files first to leverage Docker cache
-COPY web/package.json web/package-lock.json ./
-RUN npm ci
-
-# Copy the rest of the web source code
-COPY web/ ./
-
-# Set environment variables for the build
-ENV NEXT_PUBLIC_API_URL=""
-# Disable Turbopack - use webpack which correctly resolves @/ path aliases
-ENV TURBOPACK=0
-# Force a clean production build to generate the .next folder
-RUN npm run build
-
-# --- Stage 2: Final Production Image ---
-FROM python:3.11-slim
-WORKDIR /app
-
-# Install Redis for your Celery background tasks
-RUN apt-get update && apt-get install -y redis-server git && rm -rf /var/lib/apt/lists/*
-
-# Install Python dependencies for CrewAI and FastAPI
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Copy all backend code (api/, agents/, tasks.py, start.sh)
-COPY . .
-
-# Copy the static export output that FastAPI serves via StaticFiles
-COPY --from=frontend-builder /app/web/out /app/web/out
-
-# Ensure the startup script is executable
-RUN chmod +x start.sh
-
-# Hugging Face Spaces mandatory port
-ENV PORT=7860
-EXPOSE 7860
-
+# --- Stage 1: Frontend Builder ---
+FROM node:20-alpine AS frontend-builder
+# Set WORKDIR specifically to the web folder to resolve aliases correctly
+WORKDIR /app/web
+
+# Copy package files first to leverage Docker cache
+COPY web/package.json web/package-lock.json ./
+RUN npm ci
+
+# Copy the rest of the web source code
+COPY web/ ./
+
+# Set environment variables for the build
+ENV NEXT_PUBLIC_API_URL=""
+# Disable Turbopack - use webpack which correctly resolves @/ path aliases
+ENV TURBOPACK=0
+# Force a clean production build to generate the .next folder
+RUN npm run build
+
+# --- Stage 2: Final Production Image ---
+FROM python:3.11-slim
+WORKDIR /app
+
+# Install Redis for your Celery background tasks
+RUN apt-get update && apt-get install -y redis-server git && rm -rf /var/lib/apt/lists/*
+
+# Install Python dependencies for CrewAI and FastAPI
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy all backend code (api/, agents/, tasks.py, start.sh)
+COPY . .
+
+# Copy the static export output that FastAPI serves via StaticFiles
+COPY --from=frontend-builder /app/web/out /app/web/out
+
+# Ensure the startup script is executable
+RUN chmod +x start.sh
+
+# Hugging Face Spaces mandatory port
+ENV PORT=7860
+EXPOSE 7860
+
 CMD ["./start.sh"]

agents/crew.py

@@ -85,12 +85,16 @@ def _build_llm(provider: str):
             groq_model = f"groq/{groq_model}"
         return LLM(
             model=groq_model,
-            api_key=settings.GROQ_API_KEY
+            api_key=settings.GROQ_API_KEY,
+            max_tokens=settings.GROQ_MAX_OUTPUT_TOKENS,
+            temperature=settings.GROQ_TEMPERATURE,
         )
 
     return LLM(
         model=settings.OPENAI_MODEL,
-        api_key=settings.OPENAI_API_KEY
+        api_key=settings.OPENAI_API_KEY,
+        max_tokens=settings.OPENAI_MAX_OUTPUT_TOKENS,
+        temperature=settings.OPENAI_TEMPERATURE,
     )
 
 
@@ -147,27 +151,34 @@ def get_crew(
     domain = domain.lower()
     persona = PERSONAS.get(domain, PERSONAS["fintech"]) # Default to fintech if not found
 
-    # Initialize LLM
-    llm = _build_llm(provider=provider)
-
-    # 1. Create Agents
-    researcher = Agent(
+    # Initialize LLM
+    llm = _build_llm(provider=provider)
+    provider = (provider or "").strip().lower()
+    is_groq_guest = provider == "groq"
+    length_instruction = (
+        "Keep the final newsletter concise: 350-550 words. Avoid filler and repetition."
+        if is_groq_guest
+        else "Target a thorough but focused final newsletter of 700-1100 words."
+    )
+
+    # 1. Create Agents
+    researcher = Agent(
         role=persona["researcher"]["role"],
         goal=persona["researcher"]["goal"].format(topic=topic),
-        backstory=persona["researcher"]["backstory"],
-        allow_delegation=False,
-        verbose=True,
-        llm=llm
-    )
+        backstory=persona["researcher"]["backstory"],
+        allow_delegation=False,
+        verbose=False,
+        llm=llm
+    )
 
     writer = Agent(
         role=persona["writer"]["role"],
         goal=persona["writer"]["goal"].format(topic=topic),
-        backstory=persona["writer"]["backstory"],
-        allow_delegation=False,
-        verbose=True,
-        llm=llm
-    )
+        backstory=persona["writer"]["backstory"],
+        allow_delegation=False,
+        verbose=False,
+        llm=llm
+    )
 
     live_context = _fetch_live_context(topic=topic, domain=domain) if grounded else ""
     grounding_block = ""
@@ -209,7 +220,7 @@ def get_crew(
             f"Using the research provided, write an engaging, high-growth newsletter about "
             f"'{topic}'. Use a viral style with catchy subheadings like {sections}. Conclude "
             f"with an 'Actionable Insights' section. The tone should be {tone}. Include a "
-            f"'Sources' section with URL and date for each reference."
+            f"'Sources' section with URL and date for each reference. {length_instruction}"
         ),
         expected_output="A viral-style markdown newsletter ready for publication.",
         agent=writer

api/config.py

@@ -10,6 +10,10 @@ class Settings(BaseSettings):
     MOCK_AGENTS: bool = False
     OPENAI_MODEL: str = "gpt-4o"
     GROQ_MODEL: str = "llama-3.1-8b-instant"
+    OPENAI_MAX_OUTPUT_TOKENS: int = 1800
+    GROQ_MAX_OUTPUT_TOKENS: int = 700
+    OPENAI_TEMPERATURE: float = 0.7
+    GROQ_TEMPERATURE: float = 0.4
     RATE_LIMIT_SALT: str = "omnicontent-dev-salt"
     FINGERPRINT_DAILY_LIMIT: int = 2
     IP_FALLBACK_DAILY_LIMIT: int = 1