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POST
/
api
/
generate-template
Generate Template
curl --request POST \
  --url https://api.example.com/api/generate-template \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "area": "<string>"
}
'
{
  "text": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://mintlify.com/JuanMateoDEv/Groqq-MicroService/llms.txt

Use this file to discover all available pages before exploring further.

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Endpoint

POST /api/generate-template
Generates a formatted institutional document template (machote) based on the provided prompt and area. The template includes standard elements like institutional header, subject line, date/location, body, signature block, and cc field.

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Request Body

​
prompt
string
required
Description of the document to generate. This should specify the purpose and content of the institutional document.Example: "Oficio de solicitud de material de oficina para el departamento"
​
area
string
The governmental area or department requesting the document. If not provided, defaults to “No especificada”.Example: "Recursos Humanos", "Obras Públicas", "Secretaría General"

​
Response

​
text
string
The generated institutional document template. Contains the complete formatted document with variable placeholders in {{Variable}} format (double braces).The template includes:
  • Institutional header
  • ASUNTO (subject line)
  • Place and date
  • Document body
  • Closing
  • ATENTAMENTE
  • Signature block
  • C.c.p. (copy to)

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System Prompt

The API uses a specialized system prompt that instructs the LLM to:
  • Act as an institutional writing assistant for a Mexican City Hall (Ayuntamiento)
  • Return ONLY the final template text (no explanations)
  • Include all standard institutional document elements
  • Use variables in {{Variable}} format with double braces (not brackets or single braces)
This is implemented in server.js:9-16 via the buildSystem() function.

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Examples

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cURL

curl -X POST http://localhost:5055/api/generate-template \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Oficio de solicitud de material de oficina para el departamento",
    "area": "Recursos Humanos"
  }'

​
JavaScript (fetch)

const response = await fetch('http://localhost:5055/api/generate-template', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    prompt: 'Oficio de solicitud de material de oficina para el departamento',
    area: 'Recursos Humanos'
  })
});

const data = await response.json();
console.log(data.text);

​
Success Response

{
  "text": "AYUNTAMIENTO DE {{Municipio}}\n\nASUNTO: Solicitud de Material de Oficina\n\n{{Lugar}}, {{Fecha}}\n\n{{Destinatario}}\n{{Cargo}}\nPresente\n\nPor medio del presente, el Departamento de Recursos Humanos solicita...\n\nATENTAMENTE\n\n{{Firma}}\n{{Cargo}}\n\nC.c.p. {{Copia}}"
}

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Error Responses

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Implementation Details

The endpoint (server.js:18-54):
  1. Validates the prompt parameter is a string
  2. Constructs messages array with system prompt and user request
  3. Calls Groq’s API with model llama-3.1-8b-instant and temperature 0.4
  4. Extracts the generated text from data.choices[0].message.content
  5. Returns the trimmed text in the response

​
Model Configuration

  • Model: llama-3.1-8b-instant
  • Temperature: 0.4 (balanced between consistency and creativity)
  • API: Groq OpenAI-compatible endpoint

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