fix(ai, config): Correct Anthropic API calls and improve model config UI

Resolves persistent 404 'Not Found' errors when calling Anthropic models via the Vercel AI SDK. The primary issue was likely related to incorrect or missing API headers.

- Refactors Anthropic provider (src/ai-providers/anthropic.js) to use the standard 'anthropic-version' header instead of potentially outdated/incorrect beta headers when creating the client instance.

- Updates the default fallback model ID in .taskmasterconfig to 'claude-3-5-sonnet-20241022'.

- Fixes the interactive model setup (task-master models --setup) in scripts/modules/commands.js to correctly filter and default the main model selection.

- Improves the cost display in the 'task-master models' command output to explicitly show 'Free' for models with zero cost.

- Updates description for the 'id' parameter in the 'set_task_status' MCP tool definition for clarity.

- Updates list of models and costs

tasks/task_061.txt

@@ -486,7 +486,7 @@ The existing `ai-services.js` should be refactored to:
 7. Add verbose output option for debugging
 8. Testing approach: Create integration tests that verify model setting functionality with various inputs
 
-## 8. Update Main Task Processing Logic [pending]
+## 8. Update Main Task Processing Logic [deferred]
 ### Dependencies: 61.4, 61.5, 61.18
 ### Description: Refactor the main task processing logic to use the new AI services module and support dynamic model selection.
 ### Details:
@@ -554,7 +554,7 @@ When updating the main task processing logic, implement the following changes to
    ```
 </info added on 2025-04-20T03:55:56.310Z>
 
-## 9. Update Research Processing Logic [pending]
+## 9. Update Research Processing Logic [deferred]
 ### Dependencies: 61.4, 61.5, 61.8, 61.18
 ### Description: Refactor the research processing logic to use the new AI services module and support dynamic model selection for research operations.
 ### Details:
@@ -712,7 +712,7 @@ When implementing the refactored research processing logic, ensure the following
 - How to verify configuration is correctly loaded
 </info added on 2025-04-20T03:55:20.433Z>
 
-## 11. Refactor PRD Parsing to use generateObjectService [pending]
+## 11. Refactor PRD Parsing to use generateObjectService [in-progress]
 ### Dependencies: 61.23
 ### Description: Update PRD processing logic (callClaude, processClaudeResponse, handleStreamingRequest in ai-services.js) to use the new `generateObjectService` from `ai-services-unified.js` with an appropriate Zod schema.
 ### Details:
@@ -961,7 +961,7 @@ To implement this refactoring, you'll need to:
 4. Update any error handling to match the new service's error patterns.
 </info added on 2025-04-20T03:53:27.455Z>
 
-## 17. Refactor General Chat/Update AI Calls [pending]
+## 17. Refactor General Chat/Update AI Calls [deferred]
 ### Dependencies: 61.23
 ### Description: Refactor functions like `sendChatWithContext` (and potentially related task update functions in `task-manager.js` if they make direct AI calls) to use `streamTextService` or `generateTextService` from `ai-services-unified.js`.
 ### Details:
@@ -1008,7 +1008,7 @@ When refactoring `sendChatWithContext` and related functions, ensure they align
 5. Ensure any default behaviors respect configuration defaults rather than hardcoded values.
 </info added on 2025-04-20T03:53:03.709Z>
 
-## 18. Refactor Callers of AI Parsing Utilities [pending]
+## 18. Refactor Callers of AI Parsing Utilities [deferred]
 ### Dependencies: 61.11,61.12,61.13,61.14,61.15,61.16,61.17,61.19
 ### Description: Update the code that calls `parseSubtasksFromText`, `parseTaskJsonResponse`, and `parseTasksFromCompletion` to instead directly handle the structured JSON output provided by `generateObjectService` (as the refactored AI calls will now use it).
 ### Details:
@@ -1276,12 +1276,60 @@ When testing the non-streaming `generateTextService` call in `updateSubtaskById`
 </info added on 2025-04-22T06:35:14.892Z>
 </info added on 2025-04-22T06:23:23.247Z>
 
-## 20. Implement `anthropic.js` Provider Module using Vercel AI SDK [done]
+## 20. Implement `anthropic.js` Provider Module using Vercel AI SDK [in-progress]
 ### Dependencies: None
 ### Description: Create and implement the `anthropic.js` module within `src/ai-providers/`. This module should contain functions to interact with the Anthropic API (streaming and non-streaming) using the **Vercel AI SDK**, adhering to the standardized input/output format defined for `ai-services-unified.js`.
 ### Details:
 
 
+<info added on 2025-04-24T02:54:40.326Z>
+- Use the `@ai-sdk/anthropic` package to implement the provider module. You can import the default provider instance with `import { anthropic } from '@ai-sdk/anthropic'`, or create a custom instance using `createAnthropic` if you need to specify custom headers, API key, or base URL (such as for beta features or proxying)[1][4].
+
+- To address persistent 'Not Found' errors, ensure the model name matches the latest Anthropic model IDs (e.g., `claude-3-haiku-20240307`, `claude-3-5-sonnet-20241022`). Model naming is case-sensitive and must match Anthropic's published versions[4][5].
+
+- If you require custom headers (such as for beta features), use the `createAnthropic` function and pass a `headers` object. For example:
+  ```js
+  import { createAnthropic } from '@ai-sdk/anthropic';
+  const anthropic = createAnthropic({
+    apiKey: process.env.ANTHROPIC_API_KEY,
+    headers: { 'anthropic-beta': 'tools-2024-04-04' }
+  });
+  ```
+
+- For streaming and non-streaming support, the Vercel AI SDK provides both `generateText` (non-streaming) and `streamText` (streaming) functions. Use these with the Anthropic provider instance as the `model` parameter[5].
+
+- Example usage for non-streaming:
+  ```js
+  import { generateText } from 'ai';
+  import { anthropic } from '@ai-sdk/anthropic';
+
+  const result = await generateText({
+    model: anthropic('claude-3-haiku-20240307'),
+    messages: [{ role: 'user', content: [{ type: 'text', text: 'Hello!' }] }]
+  });
+  ```
+
+- Example usage for streaming:
+  ```js
+  import { streamText } from 'ai';
+  import { anthropic } from '@ai-sdk/anthropic';
+
+  const stream = await streamText({
+    model: anthropic('claude-3-haiku-20240307'),
+    messages: [{ role: 'user', content: [{ type: 'text', text: 'Hello!' }] }]
+  });
+  ```
+
+- Ensure that your implementation adheres to the standardized input/output format defined for `ai-services-unified.js`, mapping the SDK's response structure to your unified format.
+
+- If you continue to encounter 'Not Found' errors, verify:
+  - The API key is valid and has access to the requested models.
+  - The model name is correct and available to your Anthropic account.
+  - Any required beta headers are included if using beta features or models[1].
+
+- Prefer direct provider instantiation with explicit headers and API key configuration for maximum compatibility and to avoid SDK-level abstraction issues[1].
+</info added on 2025-04-24T02:54:40.326Z>
+
 ## 21. Implement `perplexity.js` Provider Module using Vercel AI SDK [done]
 ### Dependencies: None
 ### Description: Create and implement the `perplexity.js` module within `src/ai-providers/`. This module should contain functions to interact with the Perplexity API (likely using their OpenAI-compatible endpoint) via the **Vercel AI SDK**, adhering to the standardized input/output format defined for `ai-services-unified.js`.
@@ -1673,7 +1721,7 @@ The new AI architecture introduces a clear separation between sensitive credenti
 </info added on 2025-04-20T03:51:04.461Z>
 
 ## 33. Cleanup Old AI Service Files [pending]
-### Dependencies: 61.32
+### Dependencies: 61.31, 61.32
 ### Description: After all other migration subtasks (refactoring, provider implementation, testing, documentation) are complete and verified, remove the old `ai-services.js` and `ai-client-factory.js` files from the `scripts/modules/` directory. Ensure no code still references them.
 ### Details: