OpenAI Agent Integration Specialist
Budget: $8 – $15 AUD
I’m enhancing a suite of AI agents and want an extra set of expert hands to push them into production quality. Several agents already exist, but they still need deeper logic, tighter prompt engineering, and robust integration with GPT latest/enterprise models.
Here’s what I need help with right now:
• Configure the OpenAI endpoints, model parameters, and retries so each agent can switch gracefully between test and live environments.
• Train and fine-tune the agents’ reasoning loops—think few-shot prompt design, function-calling schemas, and memory strategies.
• Embed the agents cleanly into our software stack (Python + TypeScript) using frameworks such as LangChain or direct API calls, then wire them to our existing REST and WebSocket services.
Acceptance for each agent:
1. End-to-end call flow runs locally and in staging.
2. Unit tests cover success, failure, and rate-limit scenarios.
3. Performance metrics (latency, token usage) are logged and meet agreed thresholds.
If you’re fluent in OpenAI tooling, embeddings, and vector stores—and comfortable jumping into partially built code—let’s get started.
Here’s what I need help with right now:
• Configure the OpenAI endpoints, model parameters, and retries so each agent can switch gracefully between test and live environments.
• Train and fine-tune the agents’ reasoning loops—think few-shot prompt design, function-calling schemas, and memory strategies.
• Embed the agents cleanly into our software stack (Python + TypeScript) using frameworks such as LangChain or direct API calls, then wire them to our existing REST and WebSocket services.
Acceptance for each agent:
1. End-to-end call flow runs locally and in staging.
2. Unit tests cover success, failure, and rate-limit scenarios.
3. Performance metrics (latency, token usage) are logged and meet agreed thresholds.
If you’re fluent in OpenAI tooling, embeddings, and vector stores—and comfortable jumping into partially built code—let’s get started.