Debug Video Prompt & Gemini API

@ZohaibRoy

⭐⭐⭐⭐⭐ Fix Video Prompt Issues and Integrate Gemini API for Your Project ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for help with your LLM-agent project. Look no further; Zohaib is here to assist you! My team has completed over 50 similar projects focused on video behavior and API integration. I will trace the logic for the video prompt issue and seamlessly integrate the Gemini API into your codebase, ensuring everything works smoothly. ➡️ Why Me? I can easily resolve your video prompt issues and integrate the Gemini API, as I have 5 years of experience in software development, focusing on debugging, API integration, and video processing. My expertise includes working with various programming languages and frameworks, ensuring I can tackle any challenge effectively. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I'm looking forward to speaking with you! ➡️ Skills & Experience: ✅ Video Processing ✅ API Integration ✅ Debugging ✅ Software Development ✅ Git Version Control ✅ Code Review ✅ Error Handling ✅ Clean Code Practices ✅ Documentation ✅ Logic Tracing ✅ Performance Optimization ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@ASirbescu

Hello, As an experienced Full-Stack Developer and Software Engineer, I believe I have the unique skill set needed to resolve the issues you're facing with your LLM-agent project. Not only am I proficient in Python and familiar with Gemini, but I also have a knack for problem-solving, proficiently debugging code, and integrating APIs seamlessly into existing systems. My expertise in Machine Learning will be invaluable as we address the video prompt issue. Rest assured, I'll use every tool at my disposal to trace the logic, identify the root cause, and fix it in a way that ensures your videos consistently align with their prompts. Since you have a love hanging system, pushing my changes to a feature branch and opening a pull request wouldn't be an issue. Additionally, implementing the Gemini API should also pose no challenges for me. I don't just create clean wrappers and handle errors effectively; I pride myself on providing comprehensive documentation that's easy to follow even if we're unable to schedule a call. Given my background in software architecture and web security, you can trust that your project will remain robust through these enhancements. Let's make your LLM-agent project exceed expectations together! Thanks!

@ThanassisKalv

Hello! Seems to be a Python-llm work, so I may be able to confirm that I can handle your 2 issues in a matter of a day, as soon as I can have a look at the agent's files. Is it possible to have access to them in order to review it quickly? I am free to chat if you're interested. Thanks, Thanassis

@dvcontact

Hello Sir, Would you like to see a demo of the debugging solution and Gemini API integration before we commit to a partnership? I specialize in resolving complex issues like yours, ensuring your video prompts function flawlessly while seamlessly integrating the Gemini API. Let's discuss how my expertise can deliver the precise solutions you need, and I can demonstrate my approach through a quick demo. Regards, Smith

@denisSolution

Hi client, I'm Denis Redzepovic, an experienced developer with expertise in Debugging, Software Development, Gemini, Video Editing, API Integration, Large Language Model, Machine Learning (ML) and Python. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@mohjib092

I can debug your LLM-agent to fix the video prompt behavior and integrate the Gemini API with a clean wrapper, proper error handling, and a working demo call, delivering well-commented code, a brief README, and a tested feature branch ready for pull request.

@sf264

Hello! I am a senior full stack developer having 5+ years of professional experience. After going through your project requirements in detail, I can fix the video component of your LLM agent project and also the Gemini API will be wired in. I would love to chat with you to know more details about your project. Let's get started, Fahad.

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack & AI Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Debug Video Prompt & Gemini API . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@mayankinnovative

Hi, As per my understanding: You have an LLM-agent project where the generated video output does not follow the prompt behavior correctly, likely due to incorrect parameters or logic somewhere in the agent pipeline. You need the full execution chain reviewed, the root cause identified, and a stable fix so the video output consistently reflects the prompt. Additionally, you want the Gemini API integrated into the same codebase with a clean wrapper, proper error handling, and a working demo call so it can be accessed through your existing agent framework. Implementation approach: I will first trace the full prompt-to-video execution flow to identify where parameters or instructions are being altered or lost. After isolating the root cause, I will correct the logic and validate the fix through repeated test runs to ensure consistent prompt behavior. For the Gemini integration, I will implement a modular API wrapper with structured request handling, response parsing, and error management. The module will connect to your current agent interface and include a test function demonstrating a successful Gemini response. All changes will be committed to a feature branch with clear comments and a short README explaining setup, usage, and extension. A few quick questions: Which framework or orchestration layer is used for the LLM agent (LangChain, custom, etc.)? What video generation tool or model is currently used in the pipeline?

@GameOfWords

Debug Video Prompt & Gemini API I’m a full-stack software engineer with expertise in React, Node.js, Python, and cloud architectures, delivering scalable web and mobile applications that are secure, performant, and visually refined. I also specialize in AI integrations, chatbots, and workflow automations using OpenAI, LangChain, Pinecone, n8n, and Zapier, helping businesses build intelligent, future-ready solutions. I focus on creating clean, maintainable code that bridges backend logic with elegant frontend experiences. I’d love to help bring your project to life with a solution that works beautifully and thinks smartly. To review my samples and achievements, please visit:https://www.freelancer.com/u/GameOfWords Let’s bring your vision to life—connect with me today, and I’ll deliver a solution that works flawlessly and exceeds expectations.

@trm66614

Hi there,Good morning I am Talha. I can work with your project skills Video Editing, API Integration, Machine Learning (ML), Debugging, Software Development, Gemini, Python and Large Language Model I am excited to present my proposal, which centers around a personalized approach designed to elevate your project. We will start with an in-depth consultation to gain a deep understanding of your project's unique requirements, goals, and constraints. Our commitment to customization means that we will tailor our services to align perfectly with your project, and we will explain how this approach will meet your expectations. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@HiraMahmood4072

Hello, I have over 7 years of experience in Machine Learning (ML) and Python. I have carefully read the requirements for your project regarding debugging the video prompt issue and integrating the Gemini API. To address the video prompt issue, I will conduct a thorough analysis of the code to trace the logic, isolate the root cause, and implement a fix to ensure the video consistently follows the prompt as intended. For the Gemini API integration, I will seamlessly incorporate the API into the existing codebase, focusing on creating a clean wrapper, implementing error handling, and providing a demo call to showcase the model's responsiveness within your agent framework. The deliverables will include clean, well-commented code for the video prompt bug fix, integration of the Gemini API module accessible from the project interface, and comprehensive README or inline notes for future reference. I would appreciate the opportunity to discuss the project further in chat. Please feel free to connect for a detailed conversation. You can visit my profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@techsty2014

Hi there, I will trace the video prompt chain to isolate where the parameters go wrong, fix the handoff logic so the clip consistently matches the prompt text, and wire in the Gemini API with a proper wrapper, error handling, and a demo call - all pushed as a clean PR to your feature branch. For the video issue, I will start by logging the exact payload at each step of the agent chain to pinpoint where the prompt text diverges from what the renderer receives. In most cases like this, the problem sits in how parameters get serialized or overwritten between the LLM output and the video generation call. Once isolated, the fix is usually straightforward and testable. For Gemini, I will build a lightweight module that wraps the API with retry logic and structured error responses, then hook it into your existing agent interface so it is callable the same way your other models are. I am comfortable with a walkthrough call once the PR is ready, and I will include inline comments plus a short README section covering both fixes. Questions: 1) Which video generation service or library is the agent using - is it something like Runway, Pika, or a custom pipeline? 2) Is the Gemini integration meant to replace an existing LLM in the chain or run alongside it for specific tasks? Looking forward to discussing further. Thanks and best regards, Faizan

@xoheruox

Hello, Now Meta is your company, leveraging a decade of proven expertise in Matching Job Skills. I have attentively reviewed the project’s requirements for debugging the video prompt and integrating the Gemini API. Our team will start by tracing the logic, isolating the root cause, and fixing the video prompt issue to ensure it consistently follows the prompt. We will then seamlessly integrate the Gemini API into the codebase, including creating a clean wrapper, implementing error handling, and providing a demo call to showcase the model's response through your agent framework. I invite you to open a chat for a more personalized discussion on how we can move this project forward. Regards, Now Meta

@jonhw5

Hello, thanks for posting this project. I will diagnose why the video component isn\'t following the prompt consistently, trace the parameter flow, and implement a robust fix with thorough tests. I will also add a clean Gemini API wrapper, with error handling, logging, and a small demo call integrated into your agent framework to validate end-to-end behavior. Deliverables will include well-commented code, a concise README or inline notes for reproducibility, and a feature-branch PR workflow with clear commits. My approach combines targeted debugging, unit and integration tests, and a lightweight Gemini wrapper that plugs into your existing interface with minimal changes. I will ensure the video prompt is deterministic across runs and the Gemini integration demonstrates the model responding through your agent framework. What is the current expected data flow for the video prompt to the renderer, and are there any existing integration tests I should align with to validate the Gemini API wrapper? Looking forward to discussing your timeline and any constraints. Best regards,

@danielboggs

Hi, I read your description closely and I’m confident I can trace the video prompt path, isolate the parameter handoff, and wire Gemini into your agent so both features behave reliably every run. I’ve spent several years debugging multimodal agents and integrating model APIs. I’ll start by adding detailed trace logging around prompt construction, renderer input, and any serialization steps to find where parameters diverge from the prompt. Once isolated I’ll fix the logic, add unit/integration tests for the prompt→render path, and commit clear, commented fixes. For Gemini I’ll add a small, well-documented wrapper with robust error handling, retries, and a demo call routed through your existing agent interface so you can exercise the integration immediately. Deliverables will be pushed to a feature branch with a PR, tests, and a short README explaining reproduction and extension steps. I can join a short call to walk through changes or provide concise written notes, whichever you prefer. Can you point me to the repository and the specific branch plus one example prompt that reproduces the incorrect video behavior so I can start tracing the handoff? Thanks, Daniel

@devbaloni1983

Hello, I am a Python Developer with 15+ years of experience in building secure, scalable, and high-performance applications. I specialize in Python-based backend development, automation scripts, API development, data processing, and integrating third-party services. My expertise includes Django, Flask, Fast-API, REST APIs, MySQL/PostgreSQL, and cloud deployment. I also recently worked on integrating the OpenAI API for auto-generated content, images, and automation features—showing my ability to adopt modern AI technologies. If you are looking for a dedicated Python Developer who delivers clean code, reliability, and fast results, I’d be glad to work on your project.

@ayesha86664

Hi there! I see the frustration when a video component doesn’t follow the prompt, and integrating Gemini cleanly is also crucial. Both issues need careful debugging and precise implementation. I have hands-on experience fixing prompt-handling bugs in Python-based LLM agents and integrating APIs like Gemini, OpenAI, and others into existing ML pipelines. I’ve also built clean wrappers with proper error handling and tested video output to ensure it matches the prompt consistently. My approach will trace the video parameter flow, identify where the prompt is misrouted, fix the logic, and then implement the Gemini API with a clean module that’s fully callable from your existing interface. I’ll provide a concise README and inline comments so you can extend it later. check our work https://www.freelancer.com/u/ayesha86664 Do you want the Gemini integration to support both synchronous and asynchronous calls from the agent? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@mahads31

THIS IS NOT THE AUTO BID, PLEASE REVIEW IT IN DETAIL Hi there, I’ve thoroughly reviewed your project details, and I can confidently say this is completely doable. This is exactly the kind of web development work I excel at and handle regularly with precision and care. I’m a skilled web developer with strong experience in Software Development, Machine Learning (ML), API Integration, Large Language Model, Python, Gemini, Video Editing and Debugging. I specialize in clean, maintainable code, responsive and elegant design, fast-loading performance, secure architecture, and highly user-friendly interfaces — everything needed to ensure your website or web application not only works flawlessly but also stands out. You can also check out similar projects in my portfolio on my profile to see the quality and style I deliver. I’m confident I can provide high-quality results that exceed your expectations while respecting your timeline. Let’s turn your project into something amazing, sleek, and irresistible.