Deploys the bot to Pipecat Cloud using cloud builds.
Scanned 9/20/2026
Install to Claude Code
npx -y skills add pipecat-ai/gradient-bang --skill deploy-bot --agent claude-codeInstalls into .claude/skills of the current project.
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# Deploy Bot
Deploys the bot to Pipecat Cloud using cloud builds.
## Parameters
The user specifies the environment as an argument: `/deploy-bot dev`, `/deploy-bot eval`, or `/deploy-bot prod`. If not provided, ask which environment to deploy to.
- `dev` → config file: `deployment/pcc-deploy.dev.toml`
- `eval` → config file: `deployment/pcc-deploy.eval.toml`
- `prod` → config file: `deployment/pcc-deploy.prod.toml`
## Steps
### 1. Deploy to Pipecat Cloud
```bash
pipecat cloud deploy --config-file deployment/pcc-deploy.<env>.toml --yes
```
The `--yes` flag skips all confirmation prompts. Pipecat Cloud will build the Docker image remotely using the Dockerfile and context specified in the toml file.
### 2. Verify
Report the result. The deploy command has a 90-second health check window that will often time out with a message like "Deployment did not enter ready state within 90 seconds." This is normal — the deployment was still submitted successfully. Treat this as a successful deploy and report the agent name.
If the build fails, check the build logs using the build ID from the error output:
```bash
pipecat cloud build logs <build-id>
```
## Important notes
- Config files are at `deployment/pcc-deploy.dev.toml`, `deployment/pcc-deploy.eval.toml`, and `deployment/pcc-deploy.prod.toml`.
- The `.dockerignore` at the repo root controls what gets included in the build context.
- Secrets should already be configured on Pipecat Cloud. If the user hasn't set secrets yet, remind them to do so.
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