| name | adhoc |
| description | Run and manage ad-hoc AI prompts in sgai workspaces without starting a full agentic session. Use when you need to run a one-off AI prompt against a workspace, check the status of a running ad-hoc prompt, or stop a running ad-hoc prompt. |
| compatibility | Requires a running sgai server and opencode installed. The prompt runs as a non-interactive opencode command in the workspace directory. |
Ad-hoc Prompts
Ad-hoc prompts let you run a single AI prompt against a workspace without starting a full agentic session. Useful for quick tasks, code reviews, or one-off questions.
Start an Ad-hoc Prompt
Endpoint: POST /api/v1/workspaces/{name}/adhoc
curl -X POST $BASE_URL/api/v1/workspaces/my-project/adhoc \
-H "Content-Type: application/json" \
-d '{
"prompt": "Review the authentication code and identify any security issues",
"model": "anthropic/claude-opus-4-6"
}'
Request:
{
"prompt": "Review the authentication code and identify any security issues",
"model": "anthropic/claude-opus-4-6"
}
Response:
{
"running": true,
"output": "",
"message": "ad-hoc prompt started"
}
If already running:
{
"running": true,
"output": "$ opencode run -m anthropic/claude-opus-4-6...\nprompt: Review the...",
"message": "ad-hoc prompt already running"
}
Model Format
The model parameter accepts the same format as GOAL.md models:
"anthropic/claude-opus-4-6" — standard model
"anthropic/claude-opus-4-6 (max)" — model with variant
- Use
GET /api/v1/models to list available models
How Ad-hoc Works
Ad-hoc prompts run opencode run -m {model} --agent build --title "adhoc [{model}]" with your prompt piped as stdin. The workspace directory is used as the working directory.
Get Ad-hoc Status
Check if an ad-hoc prompt is running and get its current output.
Endpoint: GET /api/v1/workspaces/{name}/adhoc
curl -s $BASE_URL/api/v1/workspaces/my-project/adhoc
Response (running):
{
"running": true,
"output": "$ opencode run -m anthropic/claude-opus-4-6 --agent build --title \"adhoc [anthropic/claude-opus-4-6]\"\nprompt: Review the authentication code...\n\nAnalyzing the codebase...\n\nFound 3 potential issues:\n1. JWT tokens lack expiration...",
"message": "adhoc status"
}
Response (not running):
{
"running": false,
"output": "$ opencode run...\n...\n[completed successfully]",
"message": "adhoc status"
}
Polling for Completion
WORKSPACE="my-project"
curl -X POST $BASE_URL/api/v1/workspaces/$WORKSPACE/adhoc \
-H "Content-Type: application/json" \
-d '{"prompt": "Summarize the GOAL.md", "model": "anthropic/claude-sonnet-4-6"}'
while true; do
STATUS=$(curl -s $BASE_URL/api/v1/workspaces/$WORKSPACE/adhoc)
RUNNING=$(echo $STATUS | jq '.running')
if [ "$RUNNING" = "false" ]; then
echo "Ad-hoc complete!"
echo $STATUS | jq -r '.output'
break
fi
echo "Still running..."
sleep 3
done
Stop an Ad-hoc Prompt
Stop a running ad-hoc prompt.
Endpoint: DELETE /api/v1/workspaces/{name}/adhoc
curl -X DELETE $BASE_URL/api/v1/workspaces/my-project/adhoc
Response:
{
"running": false,
"output": "$ opencode run...\n...\n[process terminated]",
"message": "ad-hoc stopped"
}
Ad-hoc vs Full Session
| Feature | Ad-hoc | Full Session |
|---|
| Single prompt | ✓ | ✗ (multi-agent flow) |
| Multi-agent workflow | ✗ | ✓ |
| Human interaction | ✗ | ✓ |
| Progress tracking | Basic | Full (todos, events) |
| Cost tracking | ✗ | ✓ |
| Concurrent with session | No | N/A |
| GOAL.md required | ✗ | ✓ |
Common Ad-hoc Use Cases
curl -X POST $BASE_URL/api/v1/workspaces/my-project/adhoc \
-d '{"prompt": "Review all Go files for potential race conditions", "model": "anthropic/claude-opus-4-6"}'
curl -X POST $BASE_URL/api/v1/workspaces/my-project/adhoc \
-d '{"prompt": "Generate a README.md for this project", "model": "anthropic/claude-sonnet-4-6"}'
curl -X POST $BASE_URL/api/v1/workspaces/my-project/adhoc \
-d '{"prompt": "Fix the failing test in auth_test.go", "model": "anthropic/claude-sonnet-4-6"}'
curl -X POST $BASE_URL/api/v1/workspaces/my-project/adhoc \
-d '{"prompt": "List all TODO comments in the codebase", "model": "anthropic/claude-haiku-4-5"}'