URGENT : Python Expert for LiveKit & Azure Voice AI for Final Deployment & Bug Fix)

@nexvative

NEERJA I have strong experience building Python-based AI voice systems with FastAPI, Azure OpenAI, Azure Speech Services, SIP integrations, and real-time streaming pipelines. Based on the logs, the 404 Azure OpenAI error is most likely caused by using the model name instead of the Azure deployment name, or an endpoint/API version mismatch. The 400 Azure TTS error is typically related to an invalid voice, region mismatch, or incorrect Speech SDK configuration. Once these are corrected, the LiveKit pass-through issue should resolve as the audio stream becomes available. I can quickly debug your LiveKit workers, validate Azure STT, GPT-4o-mini deployment, and en-IN-NeerjaNeural TTS configuration, then optimize the Silero VAD for low-latency conversations. I'll also verify the outbound workflow end-to-end, including SIP participant creation, first-response behavior, conversation flow, and call disposition logging. I can start immediately, work with you over AnyDesk/Zoom, and expect to diagnose the root cause within a few hours, with complete inbound/outbound testing typically finished the same day depending on Azure access.

@NEHABHAT92

As an experienced Python developer with a speciality in troubleshooting and deployment, I am confident that I can quickly resolve the issues you're experiencing with LiveKit's integration to Azure Voice AI services, enabling your system to function seamlessly. Over the past 9+ years, I've delved deep into diverse Python projects like yours that involve multiple moving parts. This makes me comfortable handling both your current inbound voice agent issues (related to Azure OpenAI and TTS configuration) as well as effortfully deploying & testing the untested outbound pipeline. I have a strong command over various development tools such as Docker, FastAPI, and Supabase making me nimble with deploying & hosting of applications. Understanding your requirement for quick methodology implementation, my proficiency in asynchronous programming using Python asyncio combined with my experience of having built & deployed LiveKit Voice Agents before aligns correctly with your needs. Moreover, I am not unfamiliar with integration work involving SIP trunking such as yours Lastly, apart from my technical expertise, something that distinguishes me is my commitment to delivering quality work under challenging timelines. Time is of essence in this project and I assure you efficient and accurate debugging and resolution from my end because "NEERJA"

@akki4395

Hi there, NEERJA Your architecture already appears to be in the final stretch. Based on the errors you've shared, the silence is likely cascading from the Azure integration layer rather than the LiveKit pipeline itself. The 404 strongly suggests a deployment name versus model name mismatch or incorrect Azure endpoint configuration, while the Azure TTS 400 typically points to voice, region, or request parameter inconsistencies. Once those services begin streaming correctly, the LiveKit pass-through issue should resolve naturally. The approach would be to validate every Azure configuration, reproduce the issue in the existing Docker environment, restore the complete STT → LLM → TTS streaming path, and then tune the Silero VAD for lower response latency. After inbound calls are stable, the outbound workflow will be verified end-to-end, including SIP participant creation, first-response behavior, conversation flow, and disposition logging. If the objective is to launch immediately, let's review the current logs together and finalize the deployment. Thanks, Akshay

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@susany6

**NEERJA** Hello, I have hands-on experience with Python, FastAPI, LiveKit, Azure OpenAI, Azure Speech Services, and real-time voice AI systems. Based on the errors you've shared, the **404 `DeploymentNotFound`** is most likely due to a mismatch between the Azure **deployment name** and **model name**, an incorrect endpoint, or an API version configuration issue. The **400 Azure TTS** error is typically caused by an invalid Speech resource region, unsupported voice configuration (`en-IN-NeerjaNeural`), or incorrect synthesis parameters, which then leads to the LiveKit pass-through stream not being created. I can quickly debug the Azure integrations, restore the full STT → LLM → TTS streaming pipeline, optimize the Silero VAD for sub-700ms latency, and thoroughly test both inbound and outbound call flows, including SIP dialing, agent responses, and `log_call_disposition` execution. I estimate **6–10 hours** to identify the root cause, implement the fixes, and complete end-to-end validation with your team via Zoom or AnyDesk. I'm available to start immediately.

@mahmedzia112

**NEERJA** I’ve carefully reviewed the errors and believe the issues are primarily configuration and integration related rather than application logic. The **404 DeploymentNotFound** typically occurs when the Azure OpenAI **deployment name** configured in the application doesn't exactly match the deployment created in Azure, or the endpoint/API version is incorrect. The **400 Bad Request** for Azure TTS is commonly caused by an incorrect Speech region, voice configuration (e.g., **en-IN-NeerjaNeural**), or invalid request parameters. I have a solid foundation in **Python, Microsoft Azure, Docker, and DevOps**, backed by hands-on coursework and experience debugging backend applications. I’m comfortable working with Python asyncio, containerized deployments, environment configuration, and log analysis. I can systematically trace the Azure integrations, verify LiveKit connectivity, test the inbound/outbound pipeline, and resolve deployment issues. I estimate **4–8 hours** to diagnose, fix, and validate the complete voice flow through end-to-end testing.

@AcuteTech06

Hello, We at **Acute Tech Solution** have strong expertise in **Python, LiveKit, WebRTC, FastAPI, Docker, and real-time voice/video applications**. We can quickly troubleshoot, optimize, and implement your LiveKit solution, including AI agents, WebRTC integration, authentication, deployment, and performance tuning. LiveKit-based Python projects commonly involve FastAPI, Docker, WebRTC, cloud deployment, and real-time communication workflows. We can start immediately and provide a fast, reliable solution for your urgent requirement. Regards, **Acute Tech Solution**