Non-streaming response

import requests
import json
from dotenv import load_dotenv
import os
   
# Load environment variables from .env file
load_dotenv()
   
# Access the API key
my_api_key = os.getenv('BIGDATA_API_KEY')
endpoint = "https://agents.bigdata.com/v1/research-agent"

def wait_for_complete_response(endpoint, headers, config):
    """
    Buffer all ANSWER events and return the complete text when COMPLETE event is received.
    
    Args:
        endpoint (str): The API endpoint URL
        headers (dict): Request headers
        config (dict): Request configuration
        
    Returns:
        str: The complete buffered text from all ANSWER events
    """
    answer_buffer = []
    
    with requests.post(endpoint, headers=headers, json=config, stream=True, timeout=60) as r:
        r.raise_for_status()
        for raw_line in r.iter_lines(decode_unicode=True):
            if not raw_line:
                continue
            if raw_line.startswith("data: "):
                data = raw_line[6:].strip()
                if data == "[DONE]":
                    print("✅ Stream finished")
                    break
                try:
                    event = json.loads(data)
                    message_type = event.get("message", {}).get("type")
                    
                    # Buffer ANSWER events
                    if message_type == "ANSWER":
                        content = event.get("message", {}).get("content", "")
                        if content:
                            answer_buffer.append(content)
                    
                    # Return buffered content when COMPLETE event is received
                    elif message_type == "COMPLETE":
                        print("🎯 Complete response received!")
                        complete_text = "".join(answer_buffer)
                        return complete_text
                        
                except json.JSONDecodeError:
                    # ignore malformed/keep
                    pass
    
    # If no COMPLETE event was found, return what we have buffered
    if answer_buffer:
        complete_text = "".join(answer_buffer)
        print(f"⚠️ No COMPLETE event found, returning buffered content: {len(complete_text)} characters")
        return complete_text
    
    return ""

research_prompt = "You are a Senior Portfolio Manager analyzing companies for institutional investors. Write a concise financial analysis of NVIDIA (NVDA) in Markdown. Include: 1) Company overview, 2) Recent financial performance, 3) Key growth drivers, 4) Valuation vs peers, 5) Main risks, and 6) Your investment outlook. Use a professional, data-driven tone with first-person plural ('we believe'). Structure as: # NVIDIA Financial Analysis ## Overview ## Financials ## Outlook ## Risks and Conclusion."


payload = {
    "message": research_prompt,
    "research_effort": "standard"
}

headers = {
    "X-API-KEY": my_api_key,
    "Content-Type": "application/json",
}

# Use the function to wait for complete response
complete_response = wait_for_complete_response(endpoint, headers, payload)

if complete_response:
    print("📄 Complete Response Content:")
    print(complete_response)
else:
    print("❌ No complete response received")

🎯 Complete response received!
📄 Complete Response Content:
# NVIDIA Financial Analysis

## Overview
NVIDIA Corporation (NASDAQ: NVDA) is a global leader in accelerated computing, primarily known for its Graphics Processing Units (GPUs). While historically prominent in gaming, NVIDIA's GPUs have become the foundational technology for artificial intelligence (AI) and machine learning (ML), particularly for training large language models . The company operates through several key segments:

*   **Data Center**: This is NVIDIA's largest and fastest-growing segment, providing platforms and systems for AI, high-performance computing (HPC), and accelerated computing. It includes products like Mellanox networking solutions .
*   **Gaming**: Features GeForce GPUs for PCs and the GeForce NOW game streaming service .
*   **Professional Visualization**: Offers Quadro/NVIDIA RTX GPUs for enterprise workstations and the Omniverse software platform for 3D design and virtual worlds .
*   **Automotive**: Develops AI Cockpit, autonomous driving platforms (such as DRIVE AGX Thor), and solutions for infotainment systems .

NVIDIA's market leadership is underpinned by its comprehensive ecosystem, including the CUDA software platform, which provides tools for AI model development and training, and its holistic approach to AI infrastructure, encompassing GPUs, CPUs, networking hardware, and full-stack software . This has positioned NVIDIA to potentially dominate at least 75% of the AI accelerator market in the long term .

## Financials
NVIDIA has demonstrated exceptional financial performance over the past fiscal periods, largely driven by the surging demand for AI infrastructure.

*   **Revenue Growth**: The company has experienced significant acceleration in revenue. After a slight dip in FY2020, revenue surged by 125.9% in FY2024 to $60.92 billion and by another 114.2% in FY2025 to $130.50 billion. Most recently, Q2 FY2026 revenue reached $46.74 billion, surpassing estimates .
*   **Gross Margins**: NVIDIA maintains robust gross margins, currently standing at 69.85% . Gross profit increased by 188.5% in FY2024 and 120.9% in FY2025 .
*   **Operating Income and Margins**: Operating income reached $81.45 billion in FY2025, a 147.0% year-over-year increase. The operating margin is currently a healthy 58.09% .
*   **Net Income and EPS Growth**: Net income grew by 144.9% to $72.88 billion in FY2025, with Diluted EPS reaching $2.94, a 147.1% increase year-over-year . Q2 FY2026 Diluted EPS was $1.08, exceeding analyst expectations .
*   **Free Cash Flow Generation**: The company exhibits strong free cash flow generation, amounting to $60.85 billion in FY2025, an increase of 125.2% from the previous year . The current FCF Yield is 1.61% .

**Key Growth Drivers**
NVIDIA's future growth is expected to be propelled by several robust trends:

1.  **Artificial Intelligence (AI) and Machine Learning (ML) Expansion**: The insatiable demand for AI/ML capabilities, particularly for complex large language models, remains the primary catalyst. NVIDIA's GPUs are critical for these workloads, and the company's holistic AI infrastructure approach provides a significant competitive advantage .
2.  **Data Center Demand**: Hyperscalers, neo-clouds, and enterprises are heavily investing in accelerated computing infrastructure. Analysts project a $3-4 trillion AI infrastructure opportunity over the next five years , with some estimates suggesting a $6.2 trillion market opportunity by 2030 and a doubling of data center demand . Demand for NVIDIA's Blackwell and Grace Blackwell products continues to exceed supply .
3.  **New Product Cycles in Gaming GPUs**: The gaming segment continues to benefit from new GPU architectures like the GeForce RTX 5070 and 5060, along with software advancements such as DLSS 4. AI integration is also enhancing gaming experiences, supporting continued segment growth .
4.  **Advancements in the Automotive Sector**: NVIDIA's AI-defined vehicle platforms, including the DRIVE AGX and AIBOX, are gaining traction with major automakers. The automotive segment saw substantial growth of 69% year-over-year in Q2 FY2026, driven by self-driving solutions .
5.  **Software and Platform Ecosystem Development**: The enduring strength of the CUDA platform and new initiatives like NVIDIA AI Enterprise and NVLM 1.0 enhance developer loyalty and reinforce NVIDIA's competitive moat . Robotics, powered by platforms like Jetson AGX Thor, is also emerging as a significant long-term growth area .

**Valuation vs Peers**
Comparing NVIDIA's valuation against key competitors in the semiconductor and high-performance computing space reveals its premium positioning:

| Metric      | NVIDIA (NVDA) | AMD          | Intel (INTC)   | Broadcom (AVGO) |
| :---------- | :------------ | :----------- | :------------- | :-------------- |
| P/E Ratio   | 51.55x         | 133.48x        | -7.89x          | 86.98x         |
| P/S Ratio   | 27.00x         | 12.78x        | 3.05x           | 27.39x        |
| EV/EBITDA   | 44.73x         | 67.98x        | 182.65x         | 53.34x        |

NVIDIA trades at a high valuation, reflecting its strong growth prospects and dominant market position. While its P/E and EV/EBITDA are lower than AMD's and Intel's (which has a negative P/E due to recent losses), its P/S is comparable to Broadcom's, indicating the market's high expectations for continued revenue expansion.

**Main Risks**
While NVIDIA's outlook is strong, several risks warrant careful consideration:

1.  **Intensifying Competition**: NVIDIA faces growing competition from rivals like AMD, which has gained traction with its MI450 GPUs and strategic partnerships with entities like OpenAI . Furthermore, major cloud providers and tech giants (e.g., Alphabet, Amazon, Microsoft, Meta) are developing their own custom AI chips, which could reduce their reliance on NVIDIA's products in the long term . New entrants also claim superior chip performance .
2.  **Supply Chain Dependencies and Geopolitical Risks**: NVIDIA's significant reliance on Taiwan Semiconductor Manufacturing Company (TSMC) for advanced chip manufacturing exposes it to geopolitical risks, particularly amidst US-China tensions and potential disruptions in the Taiwan Strait . Export controls to China have already impacted its sales in a key market, and an antitrust probe in China related to its Mellanox acquisition adds further complexity . Broader supply chain bottlenecks and shortages of skilled labor for data center construction are also concerns .
3.  **Market Cyclicality**: While AI demand is currently robust, the semiconductor industry, including the gaming segment, is historically cyclical . There is a risk that the intense AI spending boom could cool if real-world applications and profitability do not keep pace with infrastructure investments, leading to an "overbuilt cycle" similar to past tech bubbles . Given NVIDIA's premium valuation, it is particularly sensitive to shifts in market sentiment and growth expectations .
4.  **Technological Obsolescence**: The rapid pace of technological innovation in AI and semiconductors means NVIDIA must continuously deliver groundbreaking products (e.g., Ampere, Hopper, Blackwell, Rubin CPX) to maintain its competitive edge and prevent technological obsolescence .
5.  **Regulatory and Antitrust Scrutiny**: NVIDIA's dominant position in the AI chip market is attracting increased regulatory attention, particularly concerning antitrust issues. China has already initiated an antitrust probe into its Mellanox acquisition, and its investments in various AI companies are also under scrutiny by regulators globally .

## Outlook, Risks and Conclusion
We believe NVIDIA is exceptionally well-positioned at the forefront of the AI revolution, a transformative technology trend that is reshaping industries globally. The company's unparalleled leadership in high-performance GPUs, coupled with its robust software ecosystem (CUDA) and strategic expansion into nascent markets like autonomous vehicles and robotics, provides a durable competitive advantage. The recent financial performance, marked by triple-digit revenue and earnings growth and strong free cash flow generation, underscores the immense demand for its products, particularly in the data center segment. We anticipate continued strong growth driven by persistent AI and ML adoption, ongoing data center build-outs, and innovation in its core gaming and professional visualization segments.

However, we recognize the significant risks inherent in NVIDIA's current standing. The intensifying competitive landscape, including efforts by major customers to develop in-house solutions, could pressure market share and pricing power. Geopolitical tensions and supply chain concentration, especially given reliance on specific foundries and exposure to regulatory actions in markets like China, present material vulnerabilities. Furthermore, the market's high expectations have driven NVIDIA's valuation to a premium, which implies little room for error and leaves the stock susceptible to volatility if the pace of AI infrastructure investment or adoption slows, or if technological advancements from competitors gain unforeseen traction.

In conclusion, while we are highly confident in NVIDIA's long-term technological leadership and its pivotal role in the AI era, investors should carefully weigh the company's premium valuation against the aforementioned risks. We recommend a continued monitoring of competitive dynamics, geopolitical developments, and the sustainability of hyperscaler investments.