feat: x-strict: true in openapi spec action for assistants and agents

Author: olivierhub

pages/docs/configuration/pre_configured_ai/assistants.mdx

@@ -28,6 +28,89 @@ ASSISTANTS_BASE_URL=http://your-alt-baseURL:3080/
     - Set the timeout period in milliseconds for assistant runs. Helps manage system load by limiting total run operation time. [More info](/docs/configuration/librechat_yaml/object_structure/assistants_endpoint#timeoutms)
     - Specify which assistant Ids are supported or excluded [More info](/docs/configuration/librechat_yaml/object_structure/assistants_endpoint#supportedids)
 
+## Strict function calling
+With librechat you can add add the 'x-strict': true flag at operation-level in the openapi spec for actions.
+This will automatically generate function calls with 'strict' mode enabled.
+Note that strict mode supports only a partial subset of json. Read https://platform.openai.com/docs/guides/structured-outputs/some-type-specific-keywords-are-not-yet-supported for details.
+
+For example:
+```json filename="mathapi.json"
+{
+  "openapi": "3.1.0",
+  "info": {
+    "title": "Math.js API",
+    "description": "API for performing mathematical operations, such as addition, subtraction, etc.",
+    "version": "1.0.0"
+  },
+  "servers": [
+    {
+      "url": "https://api.mathjs.org/v4"
+    }
+  ],
+  "paths": {
+    "/": {
+      "post": {
+        "summary": "Evaluate a mathematical expression",
+        "description": "Sends a mathematical expression in the request body to evaluate.",
+"operationId": "math",
+"x-strict": true,
+"parameters": [
+        "requestBody": {
+          "required": true,
+          "content": {
+            "application/json": {
+              "schema": {
+                "type": "object",
+                "properties": {
+                  "expr": {
+                    "type": "string",
+                    "description": "The mathematical expression to evaluate (e.g., `2+3`)."
+                  }
+                },
+                "required": ["expr"]
+              }
+            }
+          }
+        },
+        "responses": {
+          "200": {
+            "description": "The result of the evaluated expression.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "properties": {
+                    "result": {
+                      "type": "number",
+                      "description": "The evaluated result of the expression."
+                    }
+                  }
+                }
+              }
+            }
+          },
+          "400": {
+            "description": "Invalid expression provided.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "type": "object",
+                  "properties": {
+                    "error": {
+                      "type": "string",
+                      "description": "Error message describing the invalid expression."
+                    }
+                  }
+                }
+              }
+            }
+          }
+        }
+      }
+    }
+  }
+}
+```
 
 <Callout type="note" title="Notes">
 **Notes:**
@@ -39,4 +122,5 @@ ASSISTANTS_BASE_URL=http://your-alt-baseURL:3080/
     - gpt-3.5-turbo-1106
 - Vision capability is not yet supported.
 - If you have previously set the [`ENDPOINTS` value in your .env file](./dotenv.md#endpoints), you will need to add the value `assistants`
-</Callout>
+</Callout>
+

pages/docs/features/agents.mdx

@@ -89,6 +89,9 @@ With the Actions capability, you can dynamically create tools from [OpenAPI spec
 - Individual domains can be whitelisted for agent actions:
   - [More info](/docs/configuration/librechat_yaml/object_structure/actions#alloweddomains)
 
+Note that you can add add the 'x-strict': true flag at operation-level in the OpenAPI spec for actions.
+If using an OpenAI model supporting it, this will automatically generate function calls with 'strict' mode enabled.
+Strict mode supports only a partial subset of json. Read https://platform.openai.com/docs/guides/structured-outputs/some-type-specific-keywords-are-not-yet-supported for details.
 
 ### Model Context Protocol (MCP)