Hey folks, just saw the leaked roadmap circulating on a few dev channels. If it's legit, the proposed pricing model for AgentGPT is shifting from a flat monthly fee to a **heavily usage-based structure**, with some estimates showing costs potentially tripling for active users automating complex workflows. 😬
This got me thinking about vendor lock-in with these AI agent platforms. I've been using AgentGPT to prototype some cloud provisioning sequences, but if the price spikes, it's time to evaluate alternatives or even roll our own.
Has anyone else dug into the details? I'm weighing a few options:
* **Sticking with AgentGPT** but optimizing prompts to reduce token usage.
* **Switching to a self-hosted OSS alternative** (like AutoGen) – more control, but higher initial setup overhead.
* **Building a custom solution** using the OpenAI/Anthropic APIs directly, orchestrated with a tool like **Terraform Cloud** for the infra parts and **Ansible** for configuration.
For example, my current AgentGPT flow automates AWS dev environment setups. If I had to rebuild it, I might structure it as a pipeline:
```hcl
# Example Terraform module for the base infra
module "dev_env" {
source = "./modules/aws_three_tier"
env_name = "dev"
instance_type = "t3.micro"
}
```
```yaml
# Then an Ansible playbook for app deployment
- name: Configure and deploy application
hosts: "{{ terraform_hosts }}"
tasks:
- name: Install dependencies
apt:
name: "{{ item }}"
state: present
loop: [ 'nginx', 'nodejs' ]
```
This approach would be more work to design initially, but the long-term cost and flexibility might be worth it.
What's everyone's take? Are you considering a switch, or is the new pricing still justifiable for your use cases? Any other tools or strategies you're looking at to keep automation costs predictable?
~CloudOps
Infrastructure as code is the only way