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+# POST /proposals/summarise
+
+## 1. Description
+
+The `/proposals/summarise` endpoint generates a plain‑English summary and a risk assessment for a Clicked governance
+proposal. It is designed to help frontend readers quickly understand the proposal's intent and evaluate its potential
+impact.
+
+**What it does:**
+
+- Accepts a proposal title, description, and requested amount
+- Calls OpenAI (`gpt-4o-mini`) to produce a **2‑sentence summary**
+- Returns a **risk level** (`low`, `medium`, or `high`) based on amount size, clarity, and red flags
+- Includes defensive fallbacks for invalid or missing LLM responses
+
+---
+
+
+## 2. Request
+
+### Request Body
+
+| Field         | Type     | Required | Description                                               |
+|---------------|----------|----------|-----------------------------------------------------------|
+| `title`       | `string` | Yes      | Title of the governance proposal                          |
+| `description` | `string` | Yes      | Detailed description of the proposal's purpose and impact |
+| `amount`      | `float`  | Yes      | Amount in XLM requested for the proposal                  |
+
+### Example Request
+
+```json
+{
+  "title": "Community Events Fund",
+  "description": "Requesting funds to organize 3 community events in Q4 to increase platform adoption",
+  "amount": 5000.0
+}
+```
+
+---
+
+## 3. Response
+
+### Response Body
+
+| Field     | Type     | Description                                        |
+|-----------|----------|----------------------------------------------------|
+| `summary` | `string` | A 2-sentence plain-English summary of the proposal |
+| `risk`    | `string` | Risk level: `"low"`, `"medium"`, or `"high"`       |
+
+### Risk Levels
+
+| Level      | Description                | Typical Triggers                                 |
+|------------|----------------------------|--------------------------------------------------|
+| `"low"`    | Safe, well-scoped proposal | Small amounts, clear purpose, low impact         |
+| `"medium"` | Moderate risk              | Moderate amounts, some ambiguity, mixed impact   |
+| `"high"`   | High risk                  | Large amounts, unclear intent, obvious red flags |
+
+### Example Response
+
+```json
+{
+  "summary": "Requesting 5,000 XLM to host three community events in Q4 to boost platform adoption. The funds will cover venue costs, marketing, and speaker fees.",
+  "risk": "low"
+}
+```
+
+---
+
+## 4. Status Codes
+
+| Status Code                 | Description                                   | Response Example                                   |
+|-----------------------------|-----------------------------------------------|----------------------------------------------------|
+| `200 OK`                    | Proposal successfully summarized              | `{ "summary": "...", "risk": "low" }`              |
+| `502 Bad Gateway`           | LLM did not return a summary (empty response) | `{ "detail": "LLM did not return a summary" }`     |
+| `500 Internal Server Error` | OpenAI API key missing or LLM service error   | `{ "detail": "OPENAI_API_KEY is not configured" }` |
+
+### Error Response Example (502)
+
+```json
+{
+  "detail": "LLM did not return a summary"
+}
+```
+
+### Error Response Example (500)
+
+```json
+{
+  "detail": "OPENAI_API_KEY is not configured"
+}
+```
+
+## 5. Fallback Behavior
+
+The endpoint includes defensive fallbacks to handle invalid or missing LLM responses:
+
+| Scenario                                       | Behavior                                     |
+|------------------------------------------------|----------------------------------------------|
+| `risk` is not `"low"`, `"medium"`, or `"high"` | Defaults to `"medium"`                       |
+| `summary` is empty or missing                  | Returns `502 Bad Gateway` with error message |
+| OpenAI API key is missing                      | Returns `500 Internal Server Error`          |
+| OpenAI API request fails                       | Returns `500 Internal Server Error`          |
+
+### Fallback Example
+
+If the LLM returns an invalid risk value (e.g., `"critical"`), the endpoint automatically defaults to `"medium"`:
+
+**LLM Response (Invalid):**
+
+```json
+{
+  "summary": "This proposal requests funds for community events.",
+  "risk": "critical"
+}
+```
+
+### Actual Response (Fallback Applied):
+
+```json
+{
+  "summary": "This proposal requests funds for community events.",
+  "risk": "medium"
+}
+```
+
+---
+
+Paso 9: Worked Examples
+Agrega esta sección final:
+
+markdown
+
+## 6. Worked Examples
+
+>### Example 1: Low Risk Proposal
+>
+> **Request:**
+>
+>
+>```json
+>{
+>  "title": "Community Events Fund",
+>   "description": "Requesting funds to organize 3 community events in Q4 to increase platform adoption and user engagement. Events will include workshops, AMAs, and networking sessions.",
+> "amount": 5000.0
+> }     
+>```
+> Response:
+> 
+> ```json
+> {
+>   "summary": "Requesting 5,000 XLM to host three community events in Q4 to boost platform adoption. The funds will cover venue costs, marketing, and speaker fees.",
+>   "risk": "low"
+> }             
+> ```
+
+> Example 2: Medium Risk Proposal
+> Request:
+> 
+> ```json
+> {
+>   "title": "Development Team Expansion",
+>   "description": "Hiring two additional developers to accelerate platform development. The team will work on new features and bug fixes.",
+>   "amount": 50000.0
+> }          
+> ```
+> Response:
+> 
+> ```json
+> {
+>   "summary": "Requesting 50,000 XLM to hire two developers for platform development. The funds will support salaries and onboarding costs for the new team members.",
+>   "risk": "medium"
+> }     
+>  ```
+> 
+
+> Example 3: High Risk Proposal
+> Request:
+> 
+> ```json
+> {
+>   "title": "Major Protocol Upgrade",
+>   "description": "Requesting funds for a protocol upgrade that will change the platform's tokenomics.",
+>   "amount": 500000.0
+> }  
+> ```
+> Response:
+> 
+> ```json
+> {
+>   "summary": "Requesting 500,000 XLM for a major protocol upgrade that will modify tokenomics. The proposal lacks detail on implementation timeline and community feedback.",
+>   "risk": "high"
+> }
+> ```
+> 
+> 
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