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🔨 feat: Use x-strict attribute in OpenAPI Actions for Strict Function Definition (#219)

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Co-authored-by: Olivier Schiavo <olivier.schiavo@wengo.com>
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owengo
2025-02-10 22:04:33 +01:00
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parent f4e16af5db
commit d661219451
2 changed files with 88 additions and 1 deletions
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86
pages/docs/configuration/pre_configured_ai/assistants.mdx
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@@ -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>

3
pages/docs/features/agents.mdx
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@@ -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)