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a6-plugin-ai-prompt-template

Overview

The ai-prompt-template plugin pre-configures prompt templates with {{variable}} placeholders. Clients submit only the template name and variable values; the plugin fills the template and produces a complete chat-completion request. This enforces prompt structure and prevents clients from sending arbitrary system prompts.

Priority: 1071 (runs before ai-prompt-decorator at 1070 and ai-proxy at 1040).

When to Use

  • Enforce a fixed prompt structure across all clients
  • Accept user inputs only for specific fields (fill-in-the-blank)
  • Prevent prompt injection by controlling the system message
  • Build prompt libraries that clients select by name

Plugin Configuration Reference

FieldTypeRequiredDescription
templatesarrayYesArray of template objects (min 1)
templates[].namestringYesTemplate identifier (min length 1)
templates[].templateobjectYesTemplate specification
templates[].template.modelstringYesAI model name
templates[].template.messagesarrayYesArray of message objects (min 1)
templates[].template.messages[].rolestringYessystem, user, or assistant
templates[].template.messages[].contentstringYesPrompt content with {{variable}} placeholders

Template Variable Syntax

Use double curly braces: {{variable_name}}

Variables are replaced by matching keys in the client request body. The plugin uses the body-transformer plugin internally for substitution.

Client Request Format

Instead of sending a standard messages array, clients send:

{
"template_name": "my-template",
"variable1": "value1",
"variable2": "value2"
}

The plugin looks up the template by name, fills in the variables, and produces a complete chat-completion request body.

Step-by-Step: Create a Templated Route

1. Create a route with ai-prompt-template and ai-proxy

a6 route create -f - <<'EOF'
{
"id": "templated-chat",
"uri": "/v1/chat/completions",
"methods": ["POST"],
"plugins": {
"ai-proxy": {
"provider": "openai",
"auth": {
"header": {
"Authorization": "Bearer sk-your-key"
}
},
"options": {
"model": "gpt-4"
}
},
"ai-prompt-template": {
"templates": [
{
"name": "code-review",
"template": {
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "You are an expert {{language}} code reviewer. Review the code for bugs, performance issues, and style."
},
{
"role": "user",
"content": "Review this code:\n\n{{code}}"
}
]
}
}
]
}
}
}
EOF

2. Send a request with template variables

curl http://127.0.0.1:9080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"template_name": "code-review",
"language": "Python",
"code": "def add(a, b): return a + b"
}'

3. What the plugin sends to OpenAI

{
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "You are an expert Python code reviewer. Review the code for bugs, performance issues, and style."
},
{
"role": "user",
"content": "Review this code:\n\ndef add(a, b): return a + b"
}
]
}

Common Patterns

Multiple templates on one route

{
"plugins": {
"ai-prompt-template": {
"templates": [
{
"name": "translate",
"template": {
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "Translate the following text from {{source_lang}} to {{target_lang}}. Return only the translation."
},
{
"role": "user",
"content": "{{text}}"
}
]
}
},
{
"name": "summarize",
"template": {
"model": "gpt-4",
"messages": [
{
"role": "system",
"content": "Summarize the following text in {{style}} style, using at most {{max_sentences}} sentences."
},
{
"role": "user",
"content": "{{text}}"
}
]
}
}
]
}
}
}

Clients select the template by name:

# Translation
curl http://127.0.0.1:9080/v1/chat/completions \
-d '{"template_name":"translate","source_lang":"English","target_lang":"Chinese","text":"Hello world"}'

# Summarization
curl http://127.0.0.1:9080/v1/chat/completions \
-d '{"template_name":"summarize","style":"concise","max_sentences":"3","text":"Long article..."}'

Combining with ai-prompt-decorator

The pipeline executes in priority order:

  1. ai-prompt-template (1071) — fills variables
  2. ai-prompt-decorator (1070) — prepends/appends messages
  3. ai-proxy (1040) — sends to LLM
{
"plugins": {
"ai-prompt-template": {
"templates": [
{
"name": "qa",
"template": {
"model": "gpt-4",
"messages": [
{"role": "user", "content": "{{question}}"}
]
}
}
]
},
"ai-prompt-decorator": {
"prepend": [
{"role": "system", "content": "Be concise and factual."}
],
"append": [
{"role": "system", "content": "Cite sources if possible."}
]
},
"ai-proxy": {
"provider": "openai",
"auth": {
"header": {"Authorization": "Bearer sk-your-key"}
}
}
}
}

Config Sync Example

version: "1"
routes:
- id: templated-chat
uri: /v1/chat/completions
methods:
- POST
plugins:
ai-proxy:
provider: openai
auth:
header:
Authorization: Bearer sk-your-key
options:
model: gpt-4
ai-prompt-template:
templates:
- name: code-review
template:
model: gpt-4
messages:
- role: system
content: "You are an expert {{language}} code reviewer."
- role: user
content: "Review this code:\n\n{{code}}"
- name: explain
template:
model: gpt-4
messages:
- role: system
content: "Explain {{topic}} at a {{level}} level."
- role: user
content: "{{question}}"

Troubleshooting

SymptomCauseFix
400 "template not found"template_name doesn't match any configured templateCheck spelling; names are case-sensitive
Unfilled {{variable}} in outputVariable key missing from request bodyInclude all template variables in the request JSON
Plugin not transformingWrong plugin name or misconfiguredVerify plugin name is ai-prompt-template (not prompt-template)
Conflict with direct messagesClient sends both template_name and messagesUse only template_name + variables; the plugin replaces the entire body

This page is generated from a6-plugin-ai-prompt-template/SKILL.md in the api7/a6 repository. Browse all skills on the AI Agent Skills page.