Add Requesty as an OpenAI-compatible AI provider

.changeset/requesty-provider.md

@@ -0,0 +1,5 @@
+---
+"task-master-ai": minor
+---
+
+Add Requesty as a supported AI provider. Requesty is an OpenAI-compatible LLM router that exposes many upstream models behind a single endpoint using `provider/model` naming. Configure it with `REQUESTY_API_KEY` and select a model such as `openai/gpt-4o-mini` or `anthropic/claude-sonnet-4-5`.

.env.example

@@ -6,6 +6,7 @@ GOOGLE_API_KEY=YOUR_GOOGLE_KEY_HERE
 MISTRAL_API_KEY=YOUR_MISTRAL_KEY_HERE
 GROQ_API_KEY=YOUR_GROQ_KEY_HERE
 OPENROUTER_API_KEY=YOUR_OPENROUTER_KEY_HERE
+REQUESTY_API_KEY=YOUR_REQUESTY_KEY_HERE
 XAI_API_KEY=YOUR_XAI_KEY_HERE
 AZURE_OPENAI_API_KEY=YOUR_AZURE_KEY_HERE
 OLLAMA_API_KEY=YOUR_OLLAMA_API_KEY_HERE

README.md

@@ -100,6 +100,7 @@ At least one (1) of the following is required:
 - Perplexity API key (for research model)
 - xAI API Key (for research or main model)
 - OpenRouter API Key (for research or main model)
+- Requesty API Key (for research or main model)
 - Claude Code (no API key required - requires Claude Code CLI)
 - Codex CLI (OAuth via ChatGPT subscription - requires Codex CLI)
 
@@ -140,6 +141,7 @@ MCP (Model Control Protocol) lets you run Task Master directly from your editor.
         "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
         "GROQ_API_KEY": "YOUR_GROQ_KEY_HERE",
         "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
+        "REQUESTY_API_KEY": "YOUR_REQUESTY_KEY_HERE",
         "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
         "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
         "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
@@ -170,6 +172,7 @@ MCP (Model Control Protocol) lets you run Task Master directly from your editor.
         "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
         "GROQ_API_KEY": "YOUR_GROQ_KEY_HERE",
         "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
+        "REQUESTY_API_KEY": "YOUR_REQUESTY_KEY_HERE",
         "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
         "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
         "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"

assets/env.example

@@ -7,6 +7,7 @@ MISTRAL_API_KEY="your_mistral_key_here"               # Optional, for Mistral AI
 XAI_API_KEY="YOUR_XAI_KEY_HERE"                       # Optional, for xAI AI models.
 GROQ_API_KEY="YOUR_GROQ_KEY_HERE"                     # Optional, for Groq models.
 OPENROUTER_API_KEY="YOUR_OPENROUTER_KEY_HERE"         # Optional, for OpenRouter models.
+REQUESTY_API_KEY="YOUR_REQUESTY_KEY_HERE"             # Optional, for Requesty models.
 AZURE_OPENAI_API_KEY="your_azure_key_here"            # Optional, for Azure OpenAI models (requires endpoint in .taskmaster/config.json).
 OLLAMA_API_KEY="your_ollama_api_key_here"             # Optional: For remote Ollama servers that require authentication.
 GITHUB_API_KEY="your_github_api_key_here"             # Optional: For GitHub import/export features. Format: ghp_... or github_pat_...

docs/configuration.md

@@ -142,6 +142,7 @@ The `TASK_MASTER_TOOLS` environment variable controls which tools are loaded by
   - `MISTRAL_API_KEY`: Your Mistral API key.
   - `AZURE_OPENAI_API_KEY`: Your Azure OpenAI API key (also requires `AZURE_OPENAI_ENDPOINT`).
   - `OPENROUTER_API_KEY`: Your OpenRouter API key.
+  - `REQUESTY_API_KEY`: Your Requesty API key.
   - `XAI_API_KEY`: Your X-AI API key.
 - **Optional Endpoint Overrides:**
   - **Per-role `baseURL` in `.taskmasterconfig`:** You can add a `baseURL` property to any model role (`main`, `research`, `fallback`) to override the default API endpoint for that provider. If omitted, the provider's standard endpoint is used.

docs/models.md

@@ -89,6 +89,12 @@
 | openrouter  | mistralai/mistral-small-3.1-24b-instruct       | —         | 0.1        | 0.3         |
 | openrouter  | mistralai/devstral-small                       | —         | 0.1        | 0.3         |
 | openrouter  | mistralai/mistral-nemo                         | —         | 0.03       | 0.07        |
+| requesty    | openai/gpt-4o-mini                             | —         | 0.15       | 0.6         |
+| requesty    | openai/gpt-4o                                  | —         | 2.5        | 10          |
+| requesty    | openai/gpt-4.1-mini                            | —         | 0.4        | 1.6         |
+| requesty    | anthropic/claude-sonnet-4-5                    | 0.77      | 3          | 15          |
+| requesty    | google/gemini-2.5-flash                        | —         | 0.3        | 2.5         |
+| requesty    | deepseek/deepseek-chat                         | —         | 0.27       | 1.1         |
 | zai         | glm-4.6                                        | 0.68      | 0.6        | 2.2         |
 | zai         | glm-4.5                                        | 0.65      | 0.6        | 2.2         |
 | zai         | glm-4.5-air                                    | 0.62      | 0.2        | 1.1         |
@@ -250,6 +256,12 @@
 | openrouter  | qwen/qwen3-235b-a22b                           | —         | 0.14       | 2           |
 | openrouter  | mistralai/mistral-small-3.1-24b-instruct       | —         | 0.1        | 0.3         |
 | openrouter  | mistralai/mistral-nemo                         | —         | 0.03       | 0.07        |
+| requesty    | openai/gpt-4o-mini                             | —         | 0.15       | 0.6         |
+| requesty    | openai/gpt-4o                                  | —         | 2.5        | 10          |
+| requesty    | openai/gpt-4.1-mini                            | —         | 0.4        | 1.6         |
+| requesty    | anthropic/claude-sonnet-4-5                    | 0.77      | 3          | 15          |
+| requesty    | google/gemini-2.5-flash                        | —         | 0.3        | 2.5         |
+| requesty    | deepseek/deepseek-chat                         | —         | 0.27       | 1.1         |
 | zai         | glm-4.6                                        | 0.68      | 0.6        | 2.2         |
 | zai         | glm-4.5                                        | 0.65      | 0.6        | 2.2         |
 | zai         | glm-4.5-air                                    | 0.62      | 0.2        | 1.1         |

llms-install.md

@@ -25,6 +25,7 @@ Add the following configuration to the user's MCP settings file (`.cursor/mcp.js
 				"GOOGLE_API_KEY": "user_will_add_their_key_here",
 				"MISTRAL_API_KEY": "user_will_add_their_key_here",
 				"OPENROUTER_API_KEY": "user_will_add_their_key_here",
+				"REQUESTY_API_KEY": "user_will_add_their_key_here",
 				"XAI_API_KEY": "user_will_add_their_key_here"
 			}
 		}
@@ -42,6 +43,7 @@ Inform the user they need **at least one** API key from the following providers:
 - **Perplexity** (for research features) - Highly recommended
 - **Mistral** (for Mistral models)
 - **OpenRouter** (access to multiple models)
+- **Requesty** (access to multiple models)
 - **xAI** (for Grok models)
 
 The user will be able to define 3 separate roles (can be the same provider or separate providers) for main AI operations, research operations (research providers/models only), and a fallback model in case of errors.

packages/tm-core/src/common/constants/providers.ts

@@ -16,6 +16,7 @@ export const VALIDATED_PROVIDERS = [
 	'mistral',
 	'azure',
 	'openrouter',
+	'requesty',
 	'bedrock',
 	'ollama'
 ] as const;
@@ -28,6 +29,7 @@ export const CUSTOM_PROVIDERS = {
 	VERTEX: 'vertex',
 	BEDROCK: 'bedrock',
 	OPENROUTER: 'openrouter',
+	REQUESTY: 'requesty',
 	OLLAMA: 'ollama',
 	LMSTUDIO: 'lmstudio',
 	OPENAI_COMPATIBLE: 'openai-compatible',

scripts/modules/ai-services-unified.js

@@ -50,6 +50,7 @@ import {
 	OpenAIProvider,
 	OpenRouterAIProvider,
 	PerplexityAIProvider,
+	RequestyProvider,
 	VertexAIProvider,
 	XAIProvider,
 	ZAICodingProvider,
@@ -71,6 +72,7 @@ const PROVIDERS = {
 	xai: new XAIProvider(),
 	groq: new GroqProvider(),
 	openrouter: new OpenRouterAIProvider(),
+	requesty: new RequestyProvider(),
 	ollama: new OllamaAIProvider(),
 	'openai-compatible': new OpenAICompatibleProvider({
 		name: 'OpenAI Compatible',

scripts/modules/config-manager.js

@@ -900,6 +900,7 @@ function isApiKeySet(providerName, session = null, projectRoot = null) {
 		mistral: 'MISTRAL_API_KEY',
 		azure: 'AZURE_OPENAI_API_KEY',
 		openrouter: 'OPENROUTER_API_KEY',
+		requesty: 'REQUESTY_API_KEY',
 		xai: 'XAI_API_KEY',
 		zai: 'ZAI_API_KEY',
 		'zai-coding': 'ZAI_API_KEY',
@@ -977,6 +978,10 @@ function getMcpApiKeyStatus(providerName, projectRoot = null) {
 				apiKeyToCheck = mcpEnv.OPENROUTER_API_KEY;
 				placeholderValue = 'YOUR_OPENROUTER_API_KEY_HERE';
 				break;
+			case 'requesty':
+				apiKeyToCheck = mcpEnv.REQUESTY_API_KEY;
+				placeholderValue = 'YOUR_REQUESTY_API_KEY_HERE';
+				break;
 			case 'google':
 				apiKeyToCheck = mcpEnv.GOOGLE_API_KEY;
 				placeholderValue = 'YOUR_GOOGLE_API_KEY_HERE';

scripts/modules/supported-models.json

@@ -1042,6 +1042,74 @@
 			"reason": "Free OpenRouter models are not supported due to severe rate limits, lack of tool use support, and other reliability issues that make them impractical for production use."
 		}
 	],
+	"requesty": [
+		{
+			"id": "openai/gpt-4o-mini",
+			"swe_score": 0,
+			"cost_per_1m_tokens": {
+				"input": 0.15,
+				"output": 0.6
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 16384,
+			"supported": true
+		},
+		{
+			"id": "openai/gpt-4o",
+			"swe_score": 0,
+			"cost_per_1m_tokens": {
+				"input": 2.5,
+				"output": 10
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 16384,
+			"supported": true
+		},
+		{
+			"id": "openai/gpt-4.1-mini",
+			"swe_score": 0,
+			"cost_per_1m_tokens": {
+				"input": 0.4,
+				"output": 1.6
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 32768,
+			"supported": true
+		},
+		{
+			"id": "anthropic/claude-sonnet-4-5",
+			"swe_score": 0.77,
+			"cost_per_1m_tokens": {
+				"input": 3,
+				"output": 15
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 64000,
+			"supported": true
+		},
+		{
+			"id": "google/gemini-2.5-flash",
+			"swe_score": 0,
+			"cost_per_1m_tokens": {
+				"input": 0.3,
+				"output": 2.5
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 65536,
+			"supported": true
+		},
+		{
+			"id": "deepseek/deepseek-chat",
+			"swe_score": 0,
+			"cost_per_1m_tokens": {
+				"input": 0.27,
+				"output": 1.1
+			},
+			"allowed_roles": ["main", "fallback"],
+			"max_tokens": 8192,
+			"supported": true
+		}
+	],
 	"zai": [
 		{
 			"id": "glm-4.6",

src/ai-providers/index.js

@@ -10,6 +10,7 @@ export { OpenAIProvider } from './openai.js';
 export { XAIProvider } from './xai.js';
 export { GroqProvider } from './groq.js';
 export { OpenRouterAIProvider } from './openrouter.js';
+export { RequestyProvider } from './requesty.js';
 export { OllamaAIProvider } from './ollama.js';
 export { BedrockAIProvider } from './bedrock.js';
 export { AzureProvider } from './azure.js';

src/ai-providers/requesty.js

@@ -0,0 +1,24 @@
+/**
+ * requesty.js
+ * AI provider implementation for Requesty models.
+ * Requesty is an OpenAI-compatible LLM router that exposes many upstream
+ * models (openai/..., anthropic/..., google/..., deepseek/...) behind a
+ * single OpenAI-compatible endpoint, using `provider/model` naming
+ * (the same convention as OpenRouter).
+ */
+
+import { OpenAICompatibleProvider } from './openai-compatible.js';
+
+/**
+ * Requesty provider using its OpenAI-compatible router endpoint.
+ */
+export class RequestyProvider extends OpenAICompatibleProvider {
+	constructor() {
+		super({
+			name: 'Requesty',
+			apiKeyEnvVar: 'REQUESTY_API_KEY',
+			requiresApiKey: true,
+			defaultBaseURL: 'https://router.requesty.ai/v1'
+		});
+	}
+}