From 4d0e2c6cc5a3e08c9d4b2f46296dce1b6bd236a7 Mon Sep 17 00:00:00 2001 From: BexTuychiev Date: Mon, 26 May 2025 15:37:44 +0500 Subject: [PATCH 01/12] Add initial assets to claude 4 deep research assistant --- claude-4-deep-research/.env.example | 2 + claude-4-deep-research/.python-version | 1 + claude-4-deep-research/README.md | 1 + claude-4-deep-research/firecrawl-docs.ipynb | 260 +++++ claude-4-deep-research/pyproject.toml | 16 + claude-4-deep-research/uv.lock | 1161 +++++++++++++++++++ 6 files changed, 1441 insertions(+) create mode 100644 claude-4-deep-research/.env.example create mode 100644 claude-4-deep-research/.python-version create mode 100644 claude-4-deep-research/README.md create mode 100644 claude-4-deep-research/firecrawl-docs.ipynb create mode 100644 claude-4-deep-research/pyproject.toml create mode 100644 claude-4-deep-research/uv.lock diff --git a/claude-4-deep-research/.env.example b/claude-4-deep-research/.env.example new file mode 100644 index 00000000..0577621a --- /dev/null +++ b/claude-4-deep-research/.env.example @@ -0,0 +1,2 @@ +FIRECRAWL_API_KEY='fc-your-key-here' +ANTHROPIC_API_KEY='sk-ant-your-key-here' \ No newline at end of file diff --git a/claude-4-deep-research/.python-version b/claude-4-deep-research/.python-version new file mode 100644 index 00000000..e4fba218 --- /dev/null +++ b/claude-4-deep-research/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/claude-4-deep-research/README.md b/claude-4-deep-research/README.md new file mode 100644 index 00000000..b00177e1 --- /dev/null +++ b/claude-4-deep-research/README.md @@ -0,0 +1 @@ +# Enhancing Claude 4 Models With Deep Research Capabilities diff --git a/claude-4-deep-research/firecrawl-docs.ipynb b/claude-4-deep-research/firecrawl-docs.ipynb new file mode 100644 index 00000000..f91e12e5 --- /dev/null +++ b/claude-4-deep-research/firecrawl-docs.ipynb @@ -0,0 +1,260 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[search] Generating deeper search queries for \"What are the latest developments in quantum computing?\"\n", + "[search] Starting 3 parallel searches for \"What are the latest developments in quantum computing?\"\n", + "[search] Searching for \"latest developments in quantum computing 2025\" - Goal: To gather the most recent advancements and breakthroughs in quantum computing as of 2025.\n", + "[search] Searching for \"quantum computing applications in industry 2025\" - Goal: To explore how quantum computing is being applied in various industries, including finance, healthcare, and logistics, in 2025.\n", + "[search] Searching for \"quantum computing hardware advancements 2025\" - Goal: To investigate the latest innovations in quantum computing hardware, such as qubit technology and error correction methods, as of 2025.\n", + "[search] Found 8 new relevant results across 3 parallel queries\n", + "[analyze] Analyzing findings and planning next steps\n", + "[analyze] Analyzed findings\n", + "[synthesis] Preparing final analysis\n", + "[synthesis] Research completed\n" + ] + } + ], + "source": [ + "from firecrawl import FirecrawlApp\n", + "\n", + "# Initialize the client\n", + "firecrawl = FirecrawlApp()\n", + "\n", + "\n", + "# Start research with real-time updates\n", + "def on_activity(activity):\n", + " print(f\"[{activity['type']}] {activity['message']}\")\n", + "\n", + "\n", + "# Run deep research\n", + "results = firecrawl.deep_research(\n", + " query=\"What are the latest developments in quantum computing?\",\n", + " max_depth=5,\n", + " time_limit=30,\n", + " max_urls=15,\n", + " on_activity=on_activity,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Access research findings.\n", + "print(f\"Final Analysis: {results['data']['finalAnalysis']}\")\n", + "\n", + "print(f\"Sources: {len(results['data']['sources'])} references\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[search] Generating deeper search queries for \"What are the latest developments in quantum computing?\"\n", + "[search] Starting 3 parallel searches for \"What are the latest developments in quantum computing?\"\n", + "[search] Searching for \"latest developments in quantum computing 2025\" - Goal: To gather the most recent advancements and breakthroughs in quantum computing as of 2025.\n", + "[search] Searching for \"quantum computing applications in industry 2025\" - Goal: To explore how quantum computing is being applied in various industries and the impact of these applications.\n", + "[search] Searching for \"quantum algorithms developed in 2025\" - Goal: To identify new quantum algorithms that have been developed recently and their potential implications.\n", + "[search] Found 10 new relevant results across 3 parallel queries\n", + "[analyze] Analyzing findings and planning next steps\n", + "[analyze] Analyzed findings\n", + "[synthesis] Preparing final analysis\n", + "[synthesis] Research completed\n" + ] + } + ], + "source": [ + "results = firecrawl.deep_research(\n", + " query=\"What are the latest developments in quantum computing?\",\n", + " max_depth=5,\n", + " time_limit=30,\n", + " max_urls=15,\n", + " on_activity=on_activity,\n", + " system_prompt=\"You are a helpful assistant that can answer questions about the latest developments in quantum computing.\",\n", + " analysis_prompt=\"Structure your final analysis so that it only has these heading types: h1, h2 and h3\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Final Analysis: # Quantum Computing 2025: Roadmaps, Applications, and the Post‐Quantum Imperative\n", + "\n", + "Quantum computing is on the cusp of transforming industries worldwide. As major players unveil detailed roadmaps and research efforts accelerate breakthroughs, the promise of quantum‐enhanced applications for optimization, simulation, machine learning, and cryptography is rapidly coming into focus. At the same time, the challenge of preparing our digital infrastructure for the quantum era—in particular, post‐quantum cryptography—has emerged as an urgent priority for enterprises. This report examines key findings from industry roadmaps, diverse application areas, and critical cybersecurity initiatives, drawing on sources from The Quantum Insider, Microsoft Azure Quantum, Forbes, the World Economic Forum, ISACA, SpinQ, and Pennylane.\n", + "\n", + "## Industry Roadmaps and Strategic Initiatives\n", + "\n", + "Major quantum computing companies have published detailed roadmaps outlining their diverse approaches, while business leaders face an accelerating need to become “quantum ready.”\n", + "\n", + "### Quantum Roadmap Diversity and Milestones\n", + "\n", + "Research from The Quantum Insider highlights that companies such as IBM, Google, Microsoft, Rigetti, D-Wave, IonQ, Quantinuum, Intel, Pasqal, Amazon, and Oxford Ionics are charting distinct paths to achieve quantum advantage. Their roadmaps encompass superconducting qubits, trapped ions, topological qubits, and quantum annealing—the goals range from near-term practical applications (e.g., improved simulation for chemistry and logistics) to long-term fault-tolerant machines capable of handling trillion-dollar market problems. Milestones include IBM’s plans for utility-scale quantum computing with thousands of qubits, Google’s target for error-corrected processors, and Microsoft’s breakthrough claims regarding topological approaches (e.g., Majorana 1) to enhance qubit stability. \n", + "[Read more about industry roadmaps](https://thequantuminsider.com/2025/05/16/quantum-computing-roadmaps-a-look-at-the-maps-and-predictions-of-major-quantum-players/).\n", + "\n", + "### Corporate Quantum Readiness Programs\n", + "\n", + "Complementing hardware roadmaps, strategic initiatives such as Microsoft’s Quantum Ready program are emerging to help business leaders understand, integrate, and secure hybrid quantum-classical applications. Such programs focus on:\n", + "\n", + "- Building high-impact applications using a blend of classical and quantum technologies.\n", + "- Accelerating workforce skilling in quantum concepts.\n", + "- Emphasizing cryptographic agility and quantum-safe security standards. \n", + "This strategic push follows global recognition—with the United Nations declaring 2025 the International Year of Quantum Science and Technology—to prepare organizations for disruptive quantum changes. \n", + "[Learn more about Microsoft’s Quantum Ready initiative](https://aka.ms/QRSignUp).\n", + "\n", + "### Quantum Computing’s Ongoing Debate and Broader Impacts\n", + "\n", + "Forbes contributors and industry thought leaders emphasize that while breakthroughs (e.g., Microsoft’s Majorana 1 chip) generate excitement and drive stock movements, the path to fully stable, fault-tolerant quantum computing remains challenging. Experts warn that the transformational impacts, especially in fields such as artificial intelligence, risk analysis, and optimization, will require sustained investment, interdisciplinary collaboration, and transparent peer-reviewed research. \n", + "[Forbes on quantum’s impact and industry readiness](https://www.forbes.com/sites/chuckbrooks/2025/02/22/quantum-computing-has-arrived-we-need-to-prepare-for-its-impact/).\n", + "\n", + "## Quantum Computing Applications Across Industries\n", + "\n", + "New quantum applications are not confined to a laboratory—they are finding practical use in education, finance, healthcare, and many other fields.\n", + "\n", + "### Enhancing Education and Workforce Training\n", + "\n", + "Educational-grade quantum computers like SpinQ’s Gemini and Triangulum series are making quantum mechanics accessible. These portable, cost-effective devices enable hands-on experimentation, help bridge theory and practice, and nurture the next generation of quantum scientists and engineers. \n", + "[Explore how quantum education is evolving](https://www.spinquanta.com/solutions/educationIndex).\n", + "\n", + "### Transforming Finance and Optimization\n", + "\n", + "Financial institutions are eyeing quantum computing for risk assessment, portfolio optimization, and fraud detection. Quantum algorithms such as Grover’s and Quantum Approximate Optimization Algorithm (QAOA) offer the potential to process large datasets quickly and simulate multiple market scenarios in parallel—leading to better-informed decisions and safer investments. \n", + "[Discover quantum computing applications in finance](https://www.spinquanta.com/solutions/financial).\n", + "\n", + "### Accelerating Drug Discovery, Material Science, and Healthcare\n", + "\n", + "Quantum simulation techniques enable more accurate modeling of molecular interactions that are critical for drug discovery and materials science. By leveraging quantum-enhanced simulations, researchers can better predict how new drugs interact at the molecular level, optimize catalysts for energy efficiency, and even develop advanced materials for electronics. \n", + "[Read more about quantum’s role in healthcare and drug discovery](https://www.spinquanta.com/products?category=nmrQuantumProduct).\n", + "\n", + "### Revolutionizing Cryptography\n", + "\n", + "Quantum computing’s capacity to break traditional cryptographic schemes—through algorithms such as Shor’s—has accelerated the development of quantum-resistant methods. Meanwhile, quantum key distribution (QKD) offers fundamentally secure communication channels based on the laws of quantum mechanics. These dual efforts ensure that as quantum computers mature, our cybersecurity infrastructure remains robust. \n", + "[Learn about quantum cryptography breakthroughs](https://www.spinquanta.com/news-detail/top-quantum-computing-applications-in-key-industries20250124060002).\n", + "\n", + "## Post-Quantum Cryptography Preparedness\n", + "\n", + "With quantum computing poised to upend current encryption methods, cybersecurity experts and regulatory bodies now urge the swift adoption of post-quantum cryptography (PQC).\n", + "\n", + "### The Urgency for Quantum-Resistant Algorithms\n", + "\n", + "According to recent ISACA research, many widely used encryption algorithms—such as RSA, DSA, ECDSA, and Diffie–Hellman—are vulnerable once quantum computing achieves sufficient scale. The potential “store now, decrypt later” attacks pose a severe threat to sensitive data spanning finance, government, and critical infrastructure sectors. NIST is actively standardizing algorithms based on lattice-based, hash-based, and code-based methods to address these vulnerabilities. \n", + "[ISACA’s post-quantum cryptography call to action](https://www.isaca.org/resources/news-and-trends/industry-news/2025/post-quantum-cryptography-a-call-to-action).\n", + "\n", + "### Challenges and Strategies for Enterprise Transition\n", + "\n", + "Enterprises face several hurdles in migrating to PQC:\n", + " \n", + "- **Performance and Integration:** PQC algorithms often require larger keys and more computational resources, potentially impacting existing systems. \n", + "- **Expertise Gaps:** Many organizations lack the specialized skills needed for implementing quantum-resistant solutions. \n", + "- **Legacy Dependencies:** Current protocols and embedded systems may need significant upgrades before PQC can be adopted seamlessly.\n", + "\n", + "A proactive, hybrid approach—integrating classical and quantum-resistant algorithms—along with ongoing collaboration among industry stakeholders is essential to mitigate future cybersecurity risks. \n", + "[Details on PQC challenges and enterprise strategies](https://www.isaca.org/resources/news-and-trends/industry-news/2025/post-quantum-cryptography-a-call-to-action).\n", + "\n", + "## Key Research Findings and Future Outlook\n", + "\n", + "Looking ahead, the quantum computing landscape will likely evolve through continuous breakthroughs in hardware, software, and cryptographic standards.\n", + "\n", + "### Industry Trends and Experimental Advances\n", + "\n", + "Recent research—such as the leading-edge studies overseen by Pennylane and the diverse algorithms published in winter 2025—indicates that quantum algorithms are rapidly advancing. Papers on spectrum amplification for electronic structure simulation, improved tensor factorization in quantum chemistry, and novel fault-tolerant error correction methods illustrate that the theoretical and experimental frontiers are steadily converging. \n", + "[Review top quantum algorithms papers from Pennylane](https://pennylane.ai/blog/2025/03/top-quantum-algorithms-papers-winter-2025).\n", + "\n", + "### Technological and Integration Challenges\n", + "\n", + "Despite significant progress, challenges persist. From maintaining qubit coherence to scaling error correction and transitioning legacy cryptography systems, the quantum era demands interdisciplinary innovation and robust public–private partnerships. Businesses must not only invest in quantum hardware but also in human capital and cybersecurity frameworks that can adapt to these emerging realities.\n", + "\n", + "### Recommendations for a Quantum-Ready Future\n", + "\n", + "1. **Develop a Comprehensive Roadmap:** Enterprises should assess their current cryptographic inventory and adopt crypto-agile frameworks to prepare for quantum threats.\n", + "2. **Invest in Workforce Skilling:** Engage in training programs and strategic workshops—akin to Microsoft’s Quantum Ready program—to bridge the knowledge gap.\n", + "3. **Monitor Standards and Collaborate:** Stay aligned with NIST, CISA, and industry consortia like QED-C, and foster collaborations with leading research institutions and quantum companies.\n", + "4. **Adopt a Transition Strategy:** Implement hybrid cryptographic approaches to ensure immediate protections while transitioning to fully quantum-resistant systems once standardized.\n", + "\n", + "## Conclusion\n", + "\n", + "Quantum computing is rapidly transitioning from theoretical promise to practical reality, with far-reaching implications across industry sectors. The diverse roadmaps and breakthroughs from leading quantum players underscore both the immense potential and the complexity of this transformative technology. At the same time, the evolving threat to current encryption standards necessitates urgent action toward adopting post-quantum cryptography. The future belongs to those enterprises that develop robust, agile, and forward-thinking quantum strategies today.\n", + "\n", + "By aligning investments with strategic skilling, robust cybersecurity frameworks, and continuous monitoring of emerging standards, businesses can secure their position in a quantum-powered future.\n", + "\n", + "[Learn more about preparing for the quantum era](https://www.isaca.org/resources) \n", + "[Related insights on quantum computing applications](https://www.spinquanta.com/news-detail/top-quantum-computing-applications-in-key-industries20250124060002)\n" + ] + } + ], + "source": [ + "print(f\"Final Analysis: {results['data']['finalAnalysis']}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 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as the deep research engine +- A UI that supports message history From 894fa906b64e9c77430ec62e17f81e2831c31eb1 Mon Sep 17 00:00:00 2001 From: BexTuychiev Date: Mon, 26 May 2025 16:00:48 +0500 Subject: [PATCH 03/12] Add an initial version of the application --- claude-4-deep-research/README.md | 134 ++++- claude-4-deep-research/firecrawl-docs.ipynb | 260 --------- claude-4-deep-research/pyproject.toml | 1 + claude-4-deep-research/requirements.txt | 4 + claude-4-deep-research/run.py | 69 +++ .../src/claude_deep_research_app.py | 442 ++++++++++++++++ claude-4-deep-research/test_setup.py | 127 +++++ claude-4-deep-research/uv.lock | 494 +++++++++++++++++- 8 files changed, 1262 insertions(+), 269 deletions(-) delete mode 100644 claude-4-deep-research/firecrawl-docs.ipynb create mode 100644 claude-4-deep-research/requirements.txt create mode 100755 claude-4-deep-research/run.py create mode 100644 claude-4-deep-research/src/claude_deep_research_app.py create mode 100755 claude-4-deep-research/test_setup.py diff --git a/claude-4-deep-research/README.md b/claude-4-deep-research/README.md index 9f435f53..5534c2ad 100644 --- a/claude-4-deep-research/README.md +++ b/claude-4-deep-research/README.md @@ -1,8 +1,130 @@ -# Enhancing Claude 4 Models With Deep Research Capabilities +# Claude 4 Deep Research Assistant -App features: +A powerful AI assistant that combines Claude 4's conversational abilities with Firecrawl's deep research capabilities to provide comprehensive, well-sourced answers on any topic. -- Enable Claude to do deep research on any topic using Firecrawl's deep research endpoint as a tool -- A functional chat UI with streaming effect built with Streamlit -- A general purpose chatbot with Firecrawl as the deep research engine -- A UI that supports message history +## Features + +- 🤖 **Claude 4 Integration**: Powered by Anthropic's latest Claude 3.5 Sonnet model +- 🔍 **Deep Research**: Automatic web research using Firecrawl's deep research endpoint +- 💬 **Streaming Chat UI**: Real-time typewriter effect built with Streamlit +- 📚 **Message History**: Persistent conversation history within sessions +- ⚙️ **Configurable Research**: Adjustable research depth, time limits, and URL analysis +- 🎯 **Smart Tool Usage**: Automatically detects when research is needed +- 📊 **Source Attribution**: Comprehensive analysis with source citations + +## How It Works + +1. **General Conversations**: Ask any question for immediate Claude responses +2. **Research Requests**: When you ask for research, analysis, or current information, the assistant automatically uses Firecrawl's deep research tool +3. **Comprehensive Analysis**: The tool searches the web, analyzes multiple sources, and synthesizes findings into detailed insights +4. **Source Attribution**: All research comes with proper source citations and references + +## Setup Instructions + +### Prerequisites + +- Python 3.12+ +- Anthropic API key ([Get one here](https://console.anthropic.com/)) +- Firecrawl API key ([Get one here](https://firecrawl.dev/)) + +### Installation + +1. **Clone the repository**: + + ```bash + git clone + cd claude-4-deep-research + ``` + +2. **Install dependencies**: + + ```bash + pip install -r requirements.txt + ``` + +3. **Set up environment variables**: + - Copy `env.example` to `.env` + - Add your API keys: + + ```bash + ANTHROPIC_API_KEY=your_anthropic_api_key_here + FIRECRAWL_API_KEY=your_firecrawl_api_key_here + ``` + +4. **Run the application**: + + ```bash + streamlit run src/claude_deep_research_app.py + ``` + +### Alternative Setup with UV (Recommended) + +If you have [uv](https://docs.astral.sh/uv/) installed: + +```bash +uv sync +uv run streamlit run src/claude_deep_research_app.py +``` + +## Usage Examples + +### General Questions + +- "What is quantum computing?" +- "Explain machine learning concepts" +- "Help me write a Python function" + +### Research Requests + +- "Research the latest developments in quantum computing" +- "What are the current trends in renewable energy?" +- "Analyze the impact of AI on healthcare" +- "Investigate recent breakthroughs in space exploration" + +### Current Information + +- "What are the latest news in artificial intelligence?" +- "Current state of electric vehicle adoption" +- "Recent developments in climate change research" + +## Configuration + +Use the sidebar controls to adjust research parameters: + +- **Research Depth** (1-10): Number of research iterations +- **Time Limit** (30-300 seconds): Maximum research duration +- **Max URLs** (1-100): Maximum number of sources to analyze + +## Architecture + +- **Frontend**: Streamlit for the web interface +- **AI Model**: Anthropic Claude 3.5 Sonnet via official SDK +- **Research Engine**: Firecrawl Deep Research API +- **Tool Integration**: Anthropic's tool use framework +- **Streaming**: Custom typewriter effect for better UX + +## API Documentation + +- [Firecrawl Deep Research API](https://docs.firecrawl.dev/features/alpha/deep-research) +- [Anthropic Tool Use](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview) +- [Anthropic Streaming](https://docs.anthropic.com/en/docs/build-with-claude/streaming) + +## Contributing + +1. Fork the repository +2. Create a feature branch +3. Make your changes +4. Add tests if applicable +5. Submit a pull request + +## License + +MIT License - see LICENSE file for details + +## Support + +For issues and questions: + +- Check the [Firecrawl documentation](https://docs.firecrawl.dev/) +- Review [Anthropic's tool use guide](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/implement-tool-use) +- Open an issue in this repository diff --git a/claude-4-deep-research/firecrawl-docs.ipynb b/claude-4-deep-research/firecrawl-docs.ipynb deleted file mode 100644 index f91e12e5..00000000 --- a/claude-4-deep-research/firecrawl-docs.ipynb +++ /dev/null @@ -1,260 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "True" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dotenv import load_dotenv\n", - "\n", - "load_dotenv()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[search] Generating deeper search queries for \"What are the latest developments in quantum computing?\"\n", - "[search] Starting 3 parallel searches for \"What are the latest developments in quantum computing?\"\n", - "[search] Searching for \"latest developments in quantum computing 2025\" - Goal: To gather the most recent advancements and breakthroughs in quantum computing as of 2025.\n", - "[search] Searching for \"quantum computing applications in industry 2025\" - Goal: To explore how quantum computing is being applied in various industries, including finance, healthcare, and logistics, in 2025.\n", - "[search] Searching for \"quantum computing hardware advancements 2025\" - Goal: To investigate the latest innovations in quantum computing hardware, such as qubit technology and error correction methods, as of 2025.\n", - "[search] Found 8 new relevant results across 3 parallel queries\n", - "[analyze] Analyzing findings and planning next steps\n", - "[analyze] Analyzed findings\n", - "[synthesis] Preparing final analysis\n", - "[synthesis] Research completed\n" - ] - } - ], - "source": [ - "from firecrawl import FirecrawlApp\n", - "\n", - "# Initialize the client\n", - "firecrawl = FirecrawlApp()\n", - "\n", - "\n", - "# Start research with real-time updates\n", - "def on_activity(activity):\n", - " print(f\"[{activity['type']}] {activity['message']}\")\n", - "\n", - "\n", - "# Run deep research\n", - "results = firecrawl.deep_research(\n", - " query=\"What are the latest developments in quantum computing?\",\n", - " max_depth=5,\n", - " time_limit=30,\n", - " max_urls=15,\n", - " on_activity=on_activity,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Access research findings.\n", - "print(f\"Final Analysis: {results['data']['finalAnalysis']}\")\n", - "\n", - "print(f\"Sources: {len(results['data']['sources'])} references\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[search] Generating deeper search queries for \"What are the latest developments in quantum computing?\"\n", - "[search] Starting 3 parallel searches for \"What are the latest developments in quantum computing?\"\n", - "[search] Searching for \"latest developments in quantum computing 2025\" - Goal: To gather the most recent advancements and breakthroughs in quantum computing as of 2025.\n", - "[search] Searching for \"quantum computing applications in industry 2025\" - Goal: To explore how quantum computing is being applied in various industries and the impact of these applications.\n", - "[search] Searching for \"quantum algorithms developed in 2025\" - Goal: To identify new quantum algorithms that have been developed recently and their potential implications.\n", - "[search] Found 10 new relevant results across 3 parallel queries\n", - "[analyze] Analyzing findings and planning next steps\n", - "[analyze] Analyzed findings\n", - "[synthesis] Preparing final analysis\n", - "[synthesis] Research completed\n" - ] - } - ], - "source": [ - "results = firecrawl.deep_research(\n", - " query=\"What are the latest developments in quantum computing?\",\n", - " max_depth=5,\n", - " time_limit=30,\n", - " max_urls=15,\n", - " on_activity=on_activity,\n", - " system_prompt=\"You are a helpful assistant that can answer questions about the latest developments in quantum computing.\",\n", - " analysis_prompt=\"Structure your final analysis so that it only has these heading types: h1, h2 and h3\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Final Analysis: # Quantum Computing 2025: Roadmaps, Applications, and the Post‐Quantum Imperative\n", - "\n", - "Quantum computing is on the cusp of transforming industries worldwide. As major players unveil detailed roadmaps and research efforts accelerate breakthroughs, the promise of quantum‐enhanced applications for optimization, simulation, machine learning, and cryptography is rapidly coming into focus. At the same time, the challenge of preparing our digital infrastructure for the quantum era—in particular, post‐quantum cryptography—has emerged as an urgent priority for enterprises. This report examines key findings from industry roadmaps, diverse application areas, and critical cybersecurity initiatives, drawing on sources from The Quantum Insider, Microsoft Azure Quantum, Forbes, the World Economic Forum, ISACA, SpinQ, and Pennylane.\n", - "\n", - "## Industry Roadmaps and Strategic Initiatives\n", - "\n", - "Major quantum computing companies have published detailed roadmaps outlining their diverse approaches, while business leaders face an accelerating need to become “quantum ready.”\n", - "\n", - "### Quantum Roadmap Diversity and Milestones\n", - "\n", - "Research from The Quantum Insider highlights that companies such as IBM, Google, Microsoft, Rigetti, D-Wave, IonQ, Quantinuum, Intel, Pasqal, Amazon, and Oxford Ionics are charting distinct paths to achieve quantum advantage. Their roadmaps encompass superconducting qubits, trapped ions, topological qubits, and quantum annealing—the goals range from near-term practical applications (e.g., improved simulation for chemistry and logistics) to long-term fault-tolerant machines capable of handling trillion-dollar market problems. Milestones include IBM’s plans for utility-scale quantum computing with thousands of qubits, Google’s target for error-corrected processors, and Microsoft’s breakthrough claims regarding topological approaches (e.g., Majorana 1) to enhance qubit stability. \n", - "[Read more about industry roadmaps](https://thequantuminsider.com/2025/05/16/quantum-computing-roadmaps-a-look-at-the-maps-and-predictions-of-major-quantum-players/).\n", - "\n", - "### Corporate Quantum Readiness Programs\n", - "\n", - "Complementing hardware roadmaps, strategic initiatives such as Microsoft’s Quantum Ready program are emerging to help business leaders understand, integrate, and secure hybrid quantum-classical applications. Such programs focus on:\n", - "\n", - "- Building high-impact applications using a blend of classical and quantum technologies.\n", - "- Accelerating workforce skilling in quantum concepts.\n", - "- Emphasizing cryptographic agility and quantum-safe security standards. \n", - "This strategic push follows global recognition—with the United Nations declaring 2025 the International Year of Quantum Science and Technology—to prepare organizations for disruptive quantum changes. \n", - "[Learn more about Microsoft’s Quantum Ready initiative](https://aka.ms/QRSignUp).\n", - "\n", - "### Quantum Computing’s Ongoing Debate and Broader Impacts\n", - "\n", - "Forbes contributors and industry thought leaders emphasize that while breakthroughs (e.g., Microsoft’s Majorana 1 chip) generate excitement and drive stock movements, the path to fully stable, fault-tolerant quantum computing remains challenging. Experts warn that the transformational impacts, especially in fields such as artificial intelligence, risk analysis, and optimization, will require sustained investment, interdisciplinary collaboration, and transparent peer-reviewed research. \n", - "[Forbes on quantum’s impact and industry readiness](https://www.forbes.com/sites/chuckbrooks/2025/02/22/quantum-computing-has-arrived-we-need-to-prepare-for-its-impact/).\n", - "\n", - "## Quantum Computing Applications Across Industries\n", - "\n", - "New quantum applications are not confined to a laboratory—they are finding practical use in education, finance, healthcare, and many other fields.\n", - "\n", - "### Enhancing Education and Workforce Training\n", - "\n", - "Educational-grade quantum computers like SpinQ’s Gemini and Triangulum series are making quantum mechanics accessible. These portable, cost-effective devices enable hands-on experimentation, help bridge theory and practice, and nurture the next generation of quantum scientists and engineers. \n", - "[Explore how quantum education is evolving](https://www.spinquanta.com/solutions/educationIndex).\n", - "\n", - "### Transforming Finance and Optimization\n", - "\n", - "Financial institutions are eyeing quantum computing for risk assessment, portfolio optimization, and fraud detection. Quantum algorithms such as Grover’s and Quantum Approximate Optimization Algorithm (QAOA) offer the potential to process large datasets quickly and simulate multiple market scenarios in parallel—leading to better-informed decisions and safer investments. \n", - "[Discover quantum computing applications in finance](https://www.spinquanta.com/solutions/financial).\n", - "\n", - "### Accelerating Drug Discovery, Material Science, and Healthcare\n", - "\n", - "Quantum simulation techniques enable more accurate modeling of molecular interactions that are critical for drug discovery and materials science. By leveraging quantum-enhanced simulations, researchers can better predict how new drugs interact at the molecular level, optimize catalysts for energy efficiency, and even develop advanced materials for electronics. \n", - "[Read more about quantum’s role in healthcare and drug discovery](https://www.spinquanta.com/products?category=nmrQuantumProduct).\n", - "\n", - "### Revolutionizing Cryptography\n", - "\n", - "Quantum computing’s capacity to break traditional cryptographic schemes—through algorithms such as Shor’s—has accelerated the development of quantum-resistant methods. Meanwhile, quantum key distribution (QKD) offers fundamentally secure communication channels based on the laws of quantum mechanics. These dual efforts ensure that as quantum computers mature, our cybersecurity infrastructure remains robust. \n", - "[Learn about quantum cryptography breakthroughs](https://www.spinquanta.com/news-detail/top-quantum-computing-applications-in-key-industries20250124060002).\n", - "\n", - "## Post-Quantum Cryptography Preparedness\n", - "\n", - "With quantum computing poised to upend current encryption methods, cybersecurity experts and regulatory bodies now urge the swift adoption of post-quantum cryptography (PQC).\n", - "\n", - "### The Urgency for Quantum-Resistant Algorithms\n", - "\n", - "According to recent ISACA research, many widely used encryption algorithms—such as RSA, DSA, ECDSA, and Diffie–Hellman—are vulnerable once quantum computing achieves sufficient scale. The potential “store now, decrypt later” attacks pose a severe threat to sensitive data spanning finance, government, and critical infrastructure sectors. NIST is actively standardizing algorithms based on lattice-based, hash-based, and code-based methods to address these vulnerabilities. \n", - "[ISACA’s post-quantum cryptography call to action](https://www.isaca.org/resources/news-and-trends/industry-news/2025/post-quantum-cryptography-a-call-to-action).\n", - "\n", - "### Challenges and Strategies for Enterprise Transition\n", - "\n", - "Enterprises face several hurdles in migrating to PQC:\n", - " \n", - "- **Performance and Integration:** PQC algorithms often require larger keys and more computational resources, potentially impacting existing systems. \n", - "- **Expertise Gaps:** Many organizations lack the specialized skills needed for implementing quantum-resistant solutions. \n", - "- **Legacy Dependencies:** Current protocols and embedded systems may need significant upgrades before PQC can be adopted seamlessly.\n", - "\n", - "A proactive, hybrid approach—integrating classical and quantum-resistant algorithms—along with ongoing collaboration among industry stakeholders is essential to mitigate future cybersecurity risks. \n", - "[Details on PQC challenges and enterprise strategies](https://www.isaca.org/resources/news-and-trends/industry-news/2025/post-quantum-cryptography-a-call-to-action).\n", - "\n", - "## Key Research Findings and Future Outlook\n", - "\n", - "Looking ahead, the quantum computing landscape will likely evolve through continuous breakthroughs in hardware, software, and cryptographic standards.\n", - "\n", - "### Industry Trends and Experimental Advances\n", - "\n", - "Recent research—such as the leading-edge studies overseen by Pennylane and the diverse algorithms published in winter 2025—indicates that quantum algorithms are rapidly advancing. Papers on spectrum amplification for electronic structure simulation, improved tensor factorization in quantum chemistry, and novel fault-tolerant error correction methods illustrate that the theoretical and experimental frontiers are steadily converging. \n", - "[Review top quantum algorithms papers from Pennylane](https://pennylane.ai/blog/2025/03/top-quantum-algorithms-papers-winter-2025).\n", - "\n", - "### Technological and Integration Challenges\n", - "\n", - "Despite significant progress, challenges persist. From maintaining qubit coherence to scaling error correction and transitioning legacy cryptography systems, the quantum era demands interdisciplinary innovation and robust public–private partnerships. Businesses must not only invest in quantum hardware but also in human capital and cybersecurity frameworks that can adapt to these emerging realities.\n", - "\n", - "### Recommendations for a Quantum-Ready Future\n", - "\n", - "1. **Develop a Comprehensive Roadmap:** Enterprises should assess their current cryptographic inventory and adopt crypto-agile frameworks to prepare for quantum threats.\n", - "2. **Invest in Workforce Skilling:** Engage in training programs and strategic workshops—akin to Microsoft’s Quantum Ready program—to bridge the knowledge gap.\n", - "3. **Monitor Standards and Collaborate:** Stay aligned with NIST, CISA, and industry consortia like QED-C, and foster collaborations with leading research institutions and quantum companies.\n", - "4. **Adopt a Transition Strategy:** Implement hybrid cryptographic approaches to ensure immediate protections while transitioning to fully quantum-resistant systems once standardized.\n", - "\n", - "## Conclusion\n", - "\n", - "Quantum computing is rapidly transitioning from theoretical promise to practical reality, with far-reaching implications across industry sectors. The diverse roadmaps and breakthroughs from leading quantum players underscore both the immense potential and the complexity of this transformative technology. At the same time, the evolving threat to current encryption standards necessitates urgent action toward adopting post-quantum cryptography. The future belongs to those enterprises that develop robust, agile, and forward-thinking quantum strategies today.\n", - "\n", - "By aligning investments with strategic skilling, robust cybersecurity frameworks, and continuous monitoring of emerging standards, businesses can secure their position in a quantum-powered future.\n", - "\n", - "[Learn more about preparing for the quantum era](https://www.isaca.org/resources) \n", - "[Related insights on quantum computing applications](https://www.spinquanta.com/news-detail/top-quantum-computing-applications-in-key-industries20250124060002)\n" - ] - } - ], - "source": [ - "print(f\"Final Analysis: {results['data']['finalAnalysis']}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/claude-4-deep-research/pyproject.toml b/claude-4-deep-research/pyproject.toml index f1730fa6..5ccfc026 100644 --- a/claude-4-deep-research/pyproject.toml +++ b/claude-4-deep-research/pyproject.toml @@ -8,6 +8,7 @@ dependencies = [ "anthropic>=0.52.0", "firecrawl-py>=2.7.0", "python-dotenv>=1.1.0", + "streamlit>=1.45.1", ] [dependency-groups] diff --git a/claude-4-deep-research/requirements.txt b/claude-4-deep-research/requirements.txt new file mode 100644 index 00000000..6410baca --- /dev/null +++ b/claude-4-deep-research/requirements.txt @@ -0,0 +1,4 @@ +streamlit>=1.28.0 +anthropic>=0.52.0 +firecrawl-py>=2.7.0 +python-dotenv>=1.1.0 \ No newline at end of file diff --git a/claude-4-deep-research/run.py b/claude-4-deep-research/run.py new file mode 100755 index 00000000..89a312d0 --- /dev/null +++ b/claude-4-deep-research/run.py @@ -0,0 +1,69 @@ +#!/usr/bin/env python3 +""" +Launcher script for Claude 4 Deep Research Assistant +""" + +import subprocess +import sys +import os +from pathlib import Path + + +def main(): + """Launch the Streamlit application.""" + # Get the directory where this script is located + script_dir = Path(__file__).parent + app_path = script_dir / "src" / "claude_deep_research_app.py" + + # Check if the app file exists + if not app_path.exists(): + print(f"❌ Error: Application file not found at {app_path}") + sys.exit(1) + + # Check for environment variables + if not os.getenv("ANTHROPIC_API_KEY"): + print("⚠️ Warning: ANTHROPIC_API_KEY not found in environment variables") + print(" Please set your API key in a .env file or environment variables") + + if not os.getenv("FIRECRAWL_API_KEY"): + print("⚠️ Warning: FIRECRAWL_API_KEY not found in environment variables") + print(" Please set your API key in a .env file or environment variables") + + print("🚀 Starting Claude 4 Deep Research Assistant...") + print(f"📁 App location: {app_path}") + print("🌐 The app will open in your default browser") + print("🛑 Press Ctrl+C to stop the application") + print("-" * 50) + + try: + # Run the Streamlit app + subprocess.run( + [ + sys.executable, + "-m", + "streamlit", + "run", + str(app_path), + "--server.headless", + "false", + "--server.port", + "8501", + "--browser.gatherUsageStats", + "false", + ], + check=True, + ) + except KeyboardInterrupt: + print("\n👋 Application stopped by user") + except subprocess.CalledProcessError as e: + print(f"❌ Error running application: {e}") + sys.exit(1) + except FileNotFoundError: + print( + "❌ Error: Streamlit not found. Please install it with: pip install streamlit" + ) + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/claude-4-deep-research/src/claude_deep_research_app.py b/claude-4-deep-research/src/claude_deep_research_app.py new file mode 100644 index 00000000..453c7185 --- /dev/null +++ b/claude-4-deep-research/src/claude_deep_research_app.py @@ -0,0 +1,442 @@ +import streamlit as st +import anthropic +from firecrawl import FirecrawlApp +import json +import os +from dotenv import load_dotenv +import time +from typing import Dict, Any, List, Generator, Optional + +# Load environment variables +load_dotenv() + + +# Initialize clients +@st.cache_resource +def get_anthropic_client(): + """Initialize Anthropic client with API key from environment.""" + api_key = os.getenv("ANTHROPIC_API_KEY") + if not api_key: + st.error( + "Please set your ANTHROPIC_API_KEY in the environment variables or .env file" + ) + st.stop() + return anthropic.Anthropic(api_key=api_key) + + +@st.cache_resource +def get_firecrawl_client(): + """Initialize Firecrawl client with API key from environment.""" + api_key = os.getenv("FIRECRAWL_API_KEY") + if not api_key: + st.error( + "Please set your FIRECRAWL_API_KEY in the environment variables or .env file" + ) + st.stop() + return FirecrawlApp(api_key=api_key) + + +# Tool definition for Firecrawl deep research +DEEP_RESEARCH_TOOL = { + "name": "deep_research", + "description": """Conduct comprehensive deep research on any topic using web crawling and AI analysis. + This tool searches the web, analyzes multiple sources, and synthesizes findings into detailed insights. + Use this when the user asks for in-depth research, current information, or comprehensive analysis on a topic. + The tool will return structured findings with source attribution and detailed analysis.""", + "input_schema": { + "type": "object", + "properties": { + "query": { + "type": "string", + "description": "The research topic or question to investigate", + }, + "max_depth": { + "type": "integer", + "description": "Maximum number of research iterations (1-10, default: 5)", + "minimum": 1, + "maximum": 10, + "default": 5, + }, + "time_limit": { + "type": "integer", + "description": "Time limit in seconds (30-300, default: 180)", + "minimum": 30, + "maximum": 300, + "default": 180, + }, + "max_urls": { + "type": "integer", + "description": "Maximum number of URLs to analyze (1-1000, default: 20)", + "minimum": 1, + "maximum": 1000, + "default": 20, + }, + }, + "required": ["query"], + }, +} + + +def execute_deep_research( + query: str, max_depth: int = 5, time_limit: int = 180, max_urls: int = 20 +) -> Dict[str, Any]: + """Execute deep research using Firecrawl.""" + try: + firecrawl = get_firecrawl_client() + + # Run deep research + result = firecrawl.deep_research( + query=query, max_depth=max_depth, time_limit=time_limit, max_urls=max_urls + ) + + return {"success": True, "data": result.get("data", {}), "query": query} + + except Exception as e: + return {"success": False, "error": str(e), "query": query} + + +def get_claude_response_with_tools( + messages: List[Dict], tools: List[Dict] = None +) -> str: + """Get response from Claude with tool support (non-streaming for tool handling).""" + client = get_anthropic_client() + + try: + # Create the message request + request_params = { + "model": "claude-3-5-sonnet-20241022", + "max_tokens": 4000, + "messages": messages, + } + + if tools: + request_params["tools"] = tools + + # Get response + response = client.messages.create(**request_params) + + # Check if Claude wants to use a tool + if response.content and len(response.content) > 0: + for content_block in response.content: + if content_block.type == "tool_use": + tool_name = content_block.name + tool_input = content_block.input + tool_id = content_block.id + + if tool_name == "deep_research": + # Execute deep research + research_result = execute_deep_research(**tool_input) + + # Create new messages with tool result + new_messages = messages + [ + {"role": "assistant", "content": response.content}, + { + "role": "user", + "content": [ + { + "type": "tool_result", + "tool_use_id": tool_id, + "content": json.dumps(research_result), + } + ], + }, + ] + + # Get final response with tool results + final_response = client.messages.create( + model="claude-3-5-sonnet-20241022", + max_tokens=4000, + messages=new_messages, + ) + + return ( + final_response.content[0].text + if final_response.content + else "No response generated." + ) + + # Return regular response if no tools used + return ( + response.content[0].text if response.content else "No response generated." + ) + + except Exception as e: + return f"❌ **Error:** {str(e)}" + + +def stream_text_response(text: str, delay: float = 0.02) -> Generator[str, None, None]: + """Stream text character by character for typewriter effect.""" + for char in text: + yield char + time.sleep(delay) + + +def main(): + """Main Streamlit application.""" + st.set_page_config( + page_title="Claude 4 Deep Research Assistant", page_icon="🔍", layout="wide" + ) + + # Custom CSS for better styling + st.markdown( + """ + + """, + unsafe_allow_html=True, + ) + + # Header + st.markdown( + """ +
+

🔍 Claude 4 Deep Research Assistant

+

AI Assistant with comprehensive web research capabilities powered by Firecrawl

+
+ """, + unsafe_allow_html=True, + ) + + # Sidebar with controls + with st.sidebar: + st.header("🛠️ Settings") + + # Research parameters + st.subheader("Research Parameters") + max_depth = st.slider( + "Research Depth", 1, 10, 5, help="Maximum number of research iterations" + ) + time_limit = st.slider( + "Time Limit (seconds)", 30, 300, 180, help="Maximum time for research" + ) + max_urls = st.slider( + "Max URLs", 1, 100, 20, help="Maximum number of URLs to analyze" + ) + + st.divider() + + # Clear chat button + if st.button("🗑️ Clear Chat History", use_container_width=True): + st.session_state.messages = [] + st.rerun() + + st.divider() + + # Instructions + st.subheader("💡 How to Use") + st.markdown( + """ + 1. **General Questions**: Ask any question for immediate responses + 2. **Deep Research**: Request research on topics for comprehensive analysis + 3. **Current Information**: Ask about recent events or developments + + **Example prompts:** + - "Research the latest developments in quantum computing" + - "What are the current trends in renewable energy?" + - "Analyze the impact of AI on healthcare" + """ + ) + + # API Status + st.subheader("🔧 API Status") + anthropic_key = ( + "✅ Connected" if os.getenv("ANTHROPIC_API_KEY") else "❌ Missing" + ) + firecrawl_key = ( + "✅ Connected" if os.getenv("FIRECRAWL_API_KEY") else "❌ Missing" + ) + st.write(f"Anthropic: {anthropic_key}") + st.write(f"Firecrawl: {firecrawl_key}") + + # Initialize session state + if "messages" not in st.session_state: + st.session_state.messages = [] + # Add welcome message + welcome_message = """👋 **Welcome to Claude 4 Deep Research Assistant!** + +I can help you with: +- **General questions** and conversations +- **Deep research** on any topic using web crawling and analysis +- **Current information** and recent developments +- **Comprehensive analysis** with source attribution + +What would you like to explore today?""" + st.session_state.messages.append( + {"role": "assistant", "content": welcome_message} + ) + + # Display chat history + for message in st.session_state.messages: + if message["role"] == "user": + st.markdown( + f""" +
+ You:
+ {message["content"]} +
+ """, + unsafe_allow_html=True, + ) + else: + st.markdown( + f""" +
+ Assistant:
+ {message["content"]} +
+ """, + unsafe_allow_html=True, + ) + + # Chat input + user_input = st.chat_input("Ask me anything or request deep research on a topic...") + + if user_input: + # Add user message + st.session_state.messages.append({"role": "user", "content": user_input}) + + # Display user message + st.markdown( + f""" +
+ You:
+ {user_input} +
+ """, + unsafe_allow_html=True, + ) + + # Prepare messages for Claude + claude_messages = [] + for msg in st.session_state.messages[ + :-1 + ]: # Exclude the welcome message for Claude + if ( + msg["role"] in ["user", "assistant"] + and msg.get("content") != st.session_state.messages[0]["content"] + ): + claude_messages.append({"role": msg["role"], "content": msg["content"]}) + + # Add the current user message + claude_messages.append({"role": "user", "content": user_input}) + + # Show processing status + with st.container(): + st.markdown( + '
🤔 Thinking...
', + unsafe_allow_html=True, + ) + + # Check if this might be a research request + research_keywords = [ + "research", + "analyze", + "study", + "investigate", + "explore", + "latest", + "current", + "trends", + "developments", + ] + might_need_research = any( + keyword in user_input.lower() for keyword in research_keywords + ) + + if might_need_research: + st.markdown( + '
🔍 This looks like a research request. I may use deep research tools...
', + unsafe_allow_html=True, + ) + + # Get response from Claude + with st.spinner("Generating response..."): + response_text = get_claude_response_with_tools( + claude_messages, [DEEP_RESEARCH_TOOL] + ) + + # Clear status messages + st.empty() + + # Stream the response + st.markdown( + '
Assistant:
', + unsafe_allow_html=True, + ) + + # Create placeholder for streaming response + response_placeholder = st.empty() + full_response = "" + + # Stream the response with typewriter effect + for chunk in stream_text_response(response_text, delay=0.01): + full_response += chunk + response_placeholder.markdown(full_response + "▌") + + # Final display without cursor + response_placeholder.markdown(full_response) + st.markdown("
", unsafe_allow_html=True) + + # Add assistant response to session state + st.session_state.messages.append( + {"role": "assistant", "content": full_response} + ) + + # Rerun to update the display + st.rerun() + + # Footer + st.markdown( + """ +
+

🔍 Powered by Claude 4 & Firecrawl Deep Research | + Learn more about Deep Research

+
+ """, + unsafe_allow_html=True, + ) + + +if __name__ == "__main__": + main() diff --git a/claude-4-deep-research/test_setup.py b/claude-4-deep-research/test_setup.py new file mode 100755 index 00000000..a4726415 --- /dev/null +++ b/claude-4-deep-research/test_setup.py @@ -0,0 +1,127 @@ +#!/usr/bin/env python3 +""" +Test script to verify Claude 4 Deep Research Assistant setup +""" + +import os +import sys +from dotenv import load_dotenv + + +def test_imports(): + """Test if all required packages can be imported.""" + print("🔍 Testing package imports...") + + try: + import streamlit + + print("✅ Streamlit imported successfully") + except ImportError as e: + print(f"❌ Streamlit import failed: {e}") + return False + + try: + import anthropic + + print("✅ Anthropic SDK imported successfully") + except ImportError as e: + print(f"❌ Anthropic SDK import failed: {e}") + return False + + try: + from firecrawl import FirecrawlApp + + print("✅ Firecrawl SDK imported successfully") + except ImportError as e: + print(f"❌ Firecrawl SDK import failed: {e}") + return False + + return True + + +def test_environment(): + """Test if environment variables are set.""" + print("\n🔧 Testing environment variables...") + + # Load .env file if it exists + load_dotenv() + + anthropic_key = os.getenv("ANTHROPIC_API_KEY") + firecrawl_key = os.getenv("FIRECRAWL_API_KEY") + + if anthropic_key: + print("✅ ANTHROPIC_API_KEY found") + else: + print("❌ ANTHROPIC_API_KEY not found") + print(" Please set it in your .env file or environment variables") + return False + + if firecrawl_key: + print("✅ FIRECRAWL_API_KEY found") + else: + print("❌ FIRECRAWL_API_KEY not found") + print(" Please set it in your .env file or environment variables") + return False + + return True + + +def test_api_connections(): + """Test if API connections work.""" + print("\n🌐 Testing API connections...") + + # Test Anthropic connection + try: + import anthropic + + client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY")) + # Simple test - just create client, don't make actual API call to save credits + print("✅ Anthropic client created successfully") + except Exception as e: + print(f"❌ Anthropic client creation failed: {e}") + return False + + # Test Firecrawl connection + try: + from firecrawl import FirecrawlApp + + firecrawl = FirecrawlApp(api_key=os.getenv("FIRECRAWL_API_KEY")) + print("✅ Firecrawl client created successfully") + except Exception as e: + print(f"❌ Firecrawl client creation failed: {e}") + return False + + return True + + +def main(): + """Run all tests.""" + print("🧪 Claude 4 Deep Research Assistant - Setup Test") + print("=" * 50) + + all_passed = True + + # Test imports + if not test_imports(): + all_passed = False + + # Test environment + if not test_environment(): + all_passed = False + + # Test API connections + if not test_api_connections(): + all_passed = False + + print("\n" + "=" * 50) + if all_passed: + print("🎉 All tests passed! Your setup is ready.") + print("🚀 Run the app with: python run.py") + else: + print("❌ Some tests failed. Please fix the issues above.") + print("📚 Check the README.md for setup instructions.") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/claude-4-deep-research/uv.lock b/claude-4-deep-research/uv.lock index 4e561e98..a5c699c0 100644 --- a/claude-4-deep-research/uv.lock +++ b/claude-4-deep-research/uv.lock @@ -73,6 +73,22 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5", size = 7597 }, ] +[[package]] +name = "altair" +version = "5.5.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "jinja2" }, + { name = "jsonschema" }, + { name = "narwhals" }, + { name = "packaging" }, + { name = "typing-extensions", marker = "python_full_version < '3.14'" }, +] +sdist = { url = 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UI --- claude-4-deep-research/ARCHITECTURE.md | 151 +++++++ .../src/claude_deep_research_app.py | 372 ++++-------------- claude-4-deep-research/src/config.py | 30 ++ claude-4-deep-research/src/core/__init__.py | 9 + claude-4-deep-research/src/core/chat.py | 110 ++++++ claude-4-deep-research/src/core/clients.py | 41 ++ claude-4-deep-research/src/core/research.py | 90 +++++ 7 files changed, 505 insertions(+), 298 deletions(-) create mode 100644 claude-4-deep-research/ARCHITECTURE.md create mode 100644 claude-4-deep-research/src/config.py create mode 100644 claude-4-deep-research/src/core/__init__.py create mode 100644 claude-4-deep-research/src/core/chat.py create mode 100644 claude-4-deep-research/src/core/clients.py create mode 100644 claude-4-deep-research/src/core/research.py diff --git a/claude-4-deep-research/ARCHITECTURE.md b/claude-4-deep-research/ARCHITECTURE.md new file mode 100644 index 00000000..658ef98e --- /dev/null +++ b/claude-4-deep-research/ARCHITECTURE.md @@ -0,0 +1,151 @@ +# Application Architecture + +The Claude 4 Deep Research Assistant has been designed with a clean, decoupled architecture that separates concerns and makes the codebase maintainable and extensible. + +## Architecture Overview + +```plaintext +src/ +├── claude_deep_research_app.py # UI Layer (Streamlit interface) +├── config.py # Configuration settings +└── core/ # Business Logic Layer + ├── __init__.py # Module exports + ├── clients.py # API client management + ├── research.py # Research functionality + └── chat.py # Chat and Claude interactions +``` + +## Layer Separation + +### 1. UI Layer (`claude_deep_research_app.py`) + +- **Responsibility**: Streamlit interface and user interactions +- **Dependencies**: Core modules, configuration +- **Contains**: + - Streamlit components and layout + - User input handling + - Display logic + - Session state management + +### 2. Business Logic Layer (`core/`) + +- **Responsibility**: Core application functionality +- **Dependencies**: External APIs (Anthropic, Firecrawl) +- **Modules**: + +#### `clients.py` - API Client Management + +- Manages Anthropic and Firecrawl API clients +- Handles authentication and connection +- Provides singleton-like client access +- API key validation + +#### `research.py` - Research Engine + +- Defines research tool schema +- Executes deep research operations +- Detects research requests +- Handles research results + +#### `chat.py` - Chat Engine + +- Manages Claude interactions +- Handles tool use workflow +- Provides streaming functionality +- Message preparation and formatting + +### 3. Configuration Layer (`config.py`) + +- **Responsibility**: Application settings and constants +- **Contains**: + - Model configuration + - Default parameters + - UI text and messages + - Feature flags + +## Benefits of This Architecture + +### 1. **Separation of Concerns** + +- UI logic is separate from business logic +- Each module has a single responsibility +- Easy to understand and maintain + +### 2. **Testability** + +- Core logic can be tested independently of UI +- Mock clients for testing +- Isolated unit tests for each component + +### 3. **Reusability** + +- Core modules can be used in different interfaces +- Business logic is framework-agnostic +- Easy to create CLI, API, or other interfaces + +### 4. **Maintainability** + +- Changes to UI don't affect business logic +- Configuration changes are centralized +- Clear module boundaries + +### 5. **Extensibility** + +- Easy to add new research engines +- Simple to integrate additional AI models +- Straightforward to add new features + +## Usage Examples + +### Using Core Components Independently + +```python +from core import ClientManager, ResearchEngine, ChatEngine + +# Initialize components +client_manager = ClientManager() +research_engine = ResearchEngine(client_manager) +chat_engine = ChatEngine(client_manager, research_engine) + +# Use research engine directly +result = research_engine.execute_research("quantum computing trends") + +# Use chat engine for conversations +response = chat_engine.get_response_with_tools( + messages=[{"role": "user", "content": "Hello"}], + tools=[research_engine.get_tool_definition()] +) +``` + +### Creating Alternative Interfaces + +The decoupled architecture makes it easy to create different interfaces: + +- **CLI Interface**: Use core modules with argparse +- **API Server**: Use core modules with FastAPI/Flask +- **Jupyter Notebook**: Import and use core modules directly +- **Desktop App**: Use core modules with tkinter/PyQt + +## Future Enhancements + +The architecture supports easy addition of: + +1. **New Research Engines**: Implement additional research providers +2. **Multiple AI Models**: Support for different LLM providers +3. **Caching Layer**: Add Redis/database caching +4. **Authentication**: User management and API key handling +5. **Analytics**: Usage tracking and metrics +6. **Plugin System**: Extensible tool framework + +## Testing Strategy + +```python +# Example test structure +tests/ +├── test_clients.py # Test API client management +├── test_research.py # Test research functionality +├── test_chat.py # Test chat interactions +└── test_integration.py # Test component integration +``` + +This architecture ensures the application remains maintainable, testable, and extensible as it grows in complexity. diff --git a/claude-4-deep-research/src/claude_deep_research_app.py b/claude-4-deep-research/src/claude_deep_research_app.py index 453c7185..8ec2efd0 100644 --- a/claude-4-deep-research/src/claude_deep_research_app.py +++ b/claude-4-deep-research/src/claude_deep_research_app.py @@ -1,174 +1,34 @@ import streamlit as st -import anthropic -from firecrawl import FirecrawlApp -import json import os from dotenv import load_dotenv -import time -from typing import Dict, Any, List, Generator, Optional +from core import ClientManager, ResearchEngine, ChatEngine +from config import ( + APP_TITLE, + APP_CAPTION, + WELCOME_MESSAGE, + DEFAULT_RESEARCH_DEPTH, + DEFAULT_TIME_LIMIT, + DEFAULT_MAX_URLS, + TYPEWRITER_DELAY, +) # Load environment variables load_dotenv() -# Initialize clients +# Initialize core components @st.cache_resource -def get_anthropic_client(): - """Initialize Anthropic client with API key from environment.""" - api_key = os.getenv("ANTHROPIC_API_KEY") - if not api_key: - st.error( - "Please set your ANTHROPIC_API_KEY in the environment variables or .env file" - ) - st.stop() - return anthropic.Anthropic(api_key=api_key) - - -@st.cache_resource -def get_firecrawl_client(): - """Initialize Firecrawl client with API key from environment.""" - api_key = os.getenv("FIRECRAWL_API_KEY") - if not api_key: - st.error( - "Please set your FIRECRAWL_API_KEY in the environment variables or .env file" - ) - st.stop() - return FirecrawlApp(api_key=api_key) - - -# Tool definition for Firecrawl deep research -DEEP_RESEARCH_TOOL = { - "name": "deep_research", - "description": """Conduct comprehensive deep research on any topic using web crawling and AI analysis. - This tool searches the web, analyzes multiple sources, and synthesizes findings into detailed insights. - Use this when the user asks for in-depth research, current information, or comprehensive analysis on a topic. - The tool will return structured findings with source attribution and detailed analysis.""", - "input_schema": { - "type": "object", - "properties": { - "query": { - "type": "string", - "description": "The research topic or question to investigate", - }, - "max_depth": { - "type": "integer", - "description": "Maximum number of research iterations (1-10, default: 5)", - "minimum": 1, - "maximum": 10, - "default": 5, - }, - "time_limit": { - "type": "integer", - "description": "Time limit in seconds (30-300, default: 180)", - "minimum": 30, - "maximum": 300, - "default": 180, - }, - "max_urls": { - "type": "integer", - "description": "Maximum number of URLs to analyze (1-1000, default: 20)", - "minimum": 1, - "maximum": 1000, - "default": 20, - }, - }, - "required": ["query"], - }, -} - - -def execute_deep_research( - query: str, max_depth: int = 5, time_limit: int = 180, max_urls: int = 20 -) -> Dict[str, Any]: - """Execute deep research using Firecrawl.""" - try: - firecrawl = get_firecrawl_client() - - # Run deep research - result = firecrawl.deep_research( - query=query, max_depth=max_depth, time_limit=time_limit, max_urls=max_urls - ) - - return {"success": True, "data": result.get("data", {}), "query": query} - - except Exception as e: - return {"success": False, "error": str(e), "query": query} - - -def get_claude_response_with_tools( - messages: List[Dict], tools: List[Dict] = None -) -> str: - """Get response from Claude with tool support (non-streaming for tool handling).""" - client = get_anthropic_client() - +def get_core_components(): + """Initialize and return core application components.""" try: - # Create the message request - request_params = { - "model": "claude-3-5-sonnet-20241022", - "max_tokens": 4000, - "messages": messages, - } - - if tools: - request_params["tools"] = tools - - # Get response - response = client.messages.create(**request_params) - - # Check if Claude wants to use a tool - if response.content and len(response.content) > 0: - for content_block in response.content: - if content_block.type == "tool_use": - tool_name = content_block.name - tool_input = content_block.input - tool_id = content_block.id - - if tool_name == "deep_research": - # Execute deep research - research_result = execute_deep_research(**tool_input) - - # Create new messages with tool result - new_messages = messages + [ - {"role": "assistant", "content": response.content}, - { - "role": "user", - "content": [ - { - "type": "tool_result", - "tool_use_id": tool_id, - "content": json.dumps(research_result), - } - ], - }, - ] - - # Get final response with tool results - final_response = client.messages.create( - model="claude-3-5-sonnet-20241022", - max_tokens=4000, - messages=new_messages, - ) - - return ( - final_response.content[0].text - if final_response.content - else "No response generated." - ) - - # Return regular response if no tools used - return ( - response.content[0].text if response.content else "No response generated." - ) - - except Exception as e: - return f"❌ **Error:** {str(e)}" - - -def stream_text_response(text: str, delay: float = 0.02) -> Generator[str, None, None]: - """Stream text character by character for typewriter effect.""" - for char in text: - yield char - time.sleep(delay) + client_manager = ClientManager() + research_engine = ResearchEngine(client_manager) + chat_engine = ChatEngine(client_manager, research_engine) + return client_manager, research_engine, chat_engine + except ValueError as e: + st.error(f"Configuration error: {str(e)}") + st.error("Please set your API keys in the environment variables or .env file") + st.stop() def main(): @@ -177,38 +37,13 @@ def main(): page_title="Claude 4 Deep Research Assistant", page_icon="🔍", layout="wide" ) - # Custom CSS for better styling + # Initialize core components + client_manager, research_engine, chat_engine = get_core_components() + + # Minimal CSS for footer only st.markdown( """