Sumanth077

import os
from agno.agent import Agent
from agno.models.openai.like import OpenAILike
from agno.tools.duckduckgo import DuckDuckGoTools

# Set your Clarifai PAT
os.environ["CLARIFAI_PAT"] = "your_clarifai_pat"

agent = Agent(
    model=OpenAILike(

Sumanth077

pip install -qU agno duckduckgo-search pypdf lancedb tantivy yfinance clarifai openai ddgs

Sumanth077

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.clarifai.com/v2/ext/openai/v1",
    api_key="REPLACE_WITH_YOUR_CLARIFAI_PAT",
)

response = client.chat.completions.create(
    model="https://clarifai.com/openai/chat-completion/models/gpt-oss-120b",

Sumanth077

# Initialize an Ollama model
clarifai model init --toolkit ollama --model-name gemma3:270m --port 8008 --context-length 16000

Sumanth077

docker run -it --rm --pull=always \
-e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.51-nikolaik \
-e LOG_ALL_EVENTS=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v ~/.openhands:/.openhands \
-p 3000:3000 \
--add-host host.docker.internal:host-gateway \
--name openhands-app \
docker.all-hands.dev/all-hands-ai/openhands:0.51

Sumanth077

docker pull docker.all-hands.dev/all-hands-ai/runtime:0.51-nikolaik

Sumanth077

import os
from crewai.tools import tool
from crewai import LLM, Agent, Task, Crew, Process

# Step 1: Define the Research Tool
@tool("Research Tool")
def fetch_research_data(query: str) -> str:
    """Fetches research material and insights for a given blog topic."""
    # In a real-world scenario, this could call a search API or scrape web content
    return f"Research data for '{query}': Key insights, statistics, and trends collected from credible sources."

Sumanth077

from crewai import Agent, Task, Crew, Process

# 1. Define the Agent
blog_writer = Agent(
    role="Blog Writing Specialist",
    goal="Research topics and generate well-structured, engaging blog drafts.",
    backstory=(
        "You are an experienced content creator who specializes in writing insightful "
        "and factually accurate blogs. You know how to analyze research material, "
        "structure content logically, and produce clear, reader-friendly writing."

Sumanth077

import os
from crewai import LLM

clarifai_llm = LLM(
    model="openai/deepseek-ai/deepseek-chat/models/DeepSeek-R1-Distill-Qwen-7B",
    base_url="https://api.clarifai.com/v2/ext/openai/v1",
    api_key=os.environ.get("CLARIFAI_PAT")
)

print("Clarifai LLM configured successfully.")

Sumanth077

from crewai.tools import tool

@tool("Research Tool")
def fetch_research_data(query: str) -> str:
    """Fetches research material and insights for a given blog topic."""
    # In a real-world scenario, this could call a search API or scrape web content
    return f"Research data for '{query}': Key insights, statistics, and trends collected from credible sources."

print("Research tool defined successfully.")