✨🧑‍💻 - Multiple AI providers

[efraespada]

Is there an existing issue or feature request for this?

• I have searched the existing issues and feature requests.

What area does this improvement affect?

None

What actions does this improvement affect?

No response

Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.

Current limitations or challenges

None

Expected impact

High productivity with any provider

Alternatives considered

No response

Version of cursor whisper

No response

Additional context or comments

No response

[vypbot]

🪄 Automatic Actions

1. The issue was assigned to @efraespada (creator).
2. The issue's title was updated from Multiple AI providers to ✨ - Multiple AI providers.
3. The issue was linked to vypdev and moved to the column Todo.
4. Priority set to P2 in vypdev.

Debug log

[DEBUG] Setup done. Issue number: 1, isSingleAction: false, isIssue: true, isPullRequest: false, isPush: false
[DEBUG] ✅ No previous runs active. Continuing...
[INFO] Running IssueUseCase for issue #1.
[INFO] 📋 Executing IssueUseCase.
[INFO] 🔐 Executing CheckPermissionsUseCase.
[DEBUG] Ignoring permission checking. Issue state is not 'opened'.
[INFO] 👤 Executing AssignMemberToIssueUseCase.
[DEBUG] #1 needs 1 assignees.
[DEBUG] Assigned Issue creator @efraespada to #1.
[INFO] ✏️ Executing UpdateTitleUseCase.
[DEBUG] Issue title updated to: ✨ - Multiple AI providers
[INFO] 🏷️ Executing UpdateIssueTypeUseCase.
[DEBUG] Setting issue type for issue 1 to Feature
[DEBUG] Creating new issue type "Feature" for organization vypdev...
[DEBUG] Issue Type: Feature
[DEBUG] Issue Type Description: A new functionality, enhancement, or improvement requested for the project.
[DEBUG] Issue Type Color: green
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Organization ID: MDEyOk9yZ2FuaXphdGlvbjYzNzA1NDAz
[DEBUG] Organization issue types: [{"id":"IT_kwDOA8wRO84AuWac","name":"Task"},{"id":"IT_kwDOA8wRO84AuWag","name":"Bug"},{"id":"IT_kwDOA8wRO84AuWak","name":"Feature"},{"id":"IT_kwDOA8wRO84Bw9l2","name":"Documentation"},{"id":"IT_kwDOA8wRO84Bw9mw","name":"Question"},{"id":"IT_kwDOA8wRO84Bw9oA","name":"Maintenance"},{"id":"IT_kwDOA8wRO84Bw90_","name":"Release"},{"id":"IT_kwDOA8wRO84Bxfgg","name":"Hotfix"},{"id":"IT_kwDOA8wRO84Bxfgh","name":"Help"}]
[DEBUG] Found existing issue type "Feature" with ID: IT_kwDOA8wRO84AuWak
[DEBUG] Successfully updated issue type to Feature
[INFO] 🔗 Executing LinkIssueProjectUseCase.
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Linked I_kwDOSlXe6s8AAAABDKA50g with id PVTI_lADOA8wRO84Ajh7Bzgtlr90 to project PVT_kwDOA8wRO84Ajh7B
[DEBUG] Content ID: PVTI_lADOA8wRO84Ajh7Bzgtlr90
[DEBUG] Target field: {
  "id": "PVTSSF_lADOA8wRO84Ajh7Bzgb4L2E",
  "name": "Status",
  "options": [
    {
      "id": "f75ad846",
      "name": "Todo"
    },
    {
      "id": "47fc9ee4",
      "name": "In Progress"
    },
    {
      "id": "98236657",
      "name": "Done"
    }
  ]
}
[DEBUG] Target option: {
  "id": "f75ad846",
  "name": "Todo"
}
[DEBUG] Target field ID: PVTSSF_lADOA8wRO84Ajh7Bzgb4L2E
[DEBUG] Target option ID: f75ad846
[INFO] 📏 Executing CheckPriorityIssueSizeUseCase.
[DEBUG] Priority: priority: low
[DEBUG] Github Priority Label: P2
[DEBUG] Content ID: PVTI_lADOA8wRO84Ajh7Bzgtlr90
[DEBUG] Target field: {
  "id": "PVTSSF_lADOA8wRO84Ajh7Bzgb4MPQ",
  "name": "Priority",
  "options": [
    {
      "id": "4af6496f",
      "name": "P0"
    },
    {
      "id": "f87877a5",
      "name": "P1"
    },
    {
      "id": "27f99ddc",
      "name": "P2"
    }
  ]
}
[DEBUG] Target option: {
  "id": "27f99ddc",
  "name": "P2"
}
[DEBUG] Target field ID: PVTSSF_lADOA8wRO84Ajh7Bzgb4MPQ
[DEBUG] Target option ID: 27f99ddc
[INFO] 🧹 Executing RemoveIssueBranchesUseCase.
[DEBUG] Checking branch type feature
[DEBUG] Checking prefix feature/1-
[DEBUG] Checking branch type bugfix
[DEBUG] Checking prefix bugfix/1-
[INFO] 🧹 Executing RemoveNotNeededBranchesUseCase.
[INFO] 🏷️ Executing DeployAddedUseCase.
[INFO] 🏷️ Executing DeployedAddedUseCase.
[INFO] Main run finished. Results: 7, total steps: 4.
[INFO] Publishing result: 7 result(s), 4 step(s), 0 error(s).
[INFO] 📄 Executing PublishResultUseCase.

🚀 Happy coding!

^{Made with ❤️ by vypdev/copilot}

[vypbot]

🪄 Automatic Actions

1. Recommended steps (OpenCode Plan agent):
2. No response.

Debug log

[DEBUG] Setup done. Issue number: 1, isSingleAction: false, isIssue: true, isPullRequest: false, isPush: false
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ⏳ Found 1 previous run(s) still active. Waiting 2s...
[DEBUG] ✅ No previous runs active. Continuing...
[INFO] Running IssueUseCase for issue #1.
[INFO] 📋 Executing IssueUseCase.
[INFO] 🔐 Executing CheckPermissionsUseCase.
[DEBUG] Ignoring permission checking. Issue doesn't require mandatory branch.
[INFO] 👤 Executing AssignMemberToIssueUseCase.
[DEBUG] #1 needs 1 assignees.
[INFO] ✏️ Executing UpdateTitleUseCase.
[INFO] 🏷️ Executing UpdateIssueTypeUseCase.
[DEBUG] Setting issue type for issue 1 to Feature
[DEBUG] Creating new issue type "Feature" for organization vypdev...
[DEBUG] Issue Type: Feature
[DEBUG] Issue Type Description: A new functionality, enhancement, or improvement requested for the project.
[DEBUG] Issue Type Color: green
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Organization ID: MDEyOk9yZ2FuaXphdGlvbjYzNzA1NDAz
[DEBUG] Organization issue types: [{"id":"IT_kwDOA8wRO84AuWac","name":"Task"},{"id":"IT_kwDOA8wRO84AuWag","name":"Bug"},{"id":"IT_kwDOA8wRO84AuWak","name":"Feature"},{"id":"IT_kwDOA8wRO84Bw9l2","name":"Documentation"},{"id":"IT_kwDOA8wRO84Bw9mw","name":"Question"},{"id":"IT_kwDOA8wRO84Bw9oA","name":"Maintenance"},{"id":"IT_kwDOA8wRO84Bw90_","name":"Release"},{"id":"IT_kwDOA8wRO84Bxfgg","name":"Hotfix"},{"id":"IT_kwDOA8wRO84Bxfgh","name":"Help"}]
[DEBUG] Found existing issue type "Feature" with ID: IT_kwDOA8wRO84AuWak
[DEBUG] Successfully updated issue type to Feature
[INFO] 🔗 Executing LinkIssueProjectUseCase.
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Content I_kwDOSlXe6s8AAAABDKA50g is already linked to project PVT_kwDOA8wRO84Ajh7B.
[DEBUG] LinkIssueProject: issue already linked to project "vypdev" or link failed.
[INFO] 📏 Executing CheckPriorityIssueSizeUseCase.
[DEBUG] Priority: priority: low
[DEBUG] Github Priority Label: P2
[DEBUG] Content ID: PVTI_lADOA8wRO84Ajh7Bzgtlr90
[DEBUG] Target field: {
  "id": "PVTSSF_lADOA8wRO84Ajh7Bzgb4MPQ",
  "name": "Priority",
  "options": [
    {
      "id": "4af6496f",
      "name": "P0"
    },
    {
      "id": "f87877a5",
      "name": "P1"
    },
    {
      "id": "27f99ddc",
      "name": "P2"
    }
  ]
}
[DEBUG] Target option: {
  "id": "27f99ddc",
  "name": "P2"
}
[DEBUG] Field 'Priority' is already set to 'P2'. No update needed.
[INFO] 🧹 Executing RemoveIssueBranchesUseCase.
[DEBUG] Checking branch type feature
[DEBUG] Checking prefix feature/1-
[DEBUG] Checking branch type bugfix
[DEBUG] Checking prefix bugfix/1-
[INFO] 🧹 Executing RemoveNotNeededBranchesUseCase.
[INFO] 🏷️ Executing DeployAddedUseCase.
[INFO] 🏷️ Executing DeployedAddedUseCase.
[INFO] 💡 Executing RecommendStepsUseCase.
[DEBUG] RecommendSteps: prompt length=1584, issue description length=748.
[INFO] 🤖 Recommending steps using OpenCode Plan agent...
[INFO] OpenCode request [agent build] model=opencode/gpt-5-nano promptLength=1584
[INFO] OpenCode sending prompt (full):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode prompt (full, no truncation):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode message body: agent=build, model=opencode/gpt-5-nano, parts[0].text length=1584
[DEBUG] OpenCode session create body: {"title":"copilot"}
[DEBUG] OpenCode response [OpenCode session.create] status=200 bodyLength=365. Full body:
{"id":"ses_1acf26be5ffeeh2KBQLUTooRTB","slug":"calm-squid","projectID":"ec8eb830b0d6977955d7a8b3aa51809de0488553","directory":"/home/runner/work/cursor-whisper/cursor-whisper","path":"","cost":0,"tokens":{"input":0,"output":0,"reasoning":0,"cache":{"read":0,"write":0}},"title":"copilot","version":"1.15.10","time":{"created":1779509859355,"updated":1779509859355}}
[DEBUG] OpenCode POST /session/ses_1acf26be5ffeeh2KBQLUTooRTB/message body (keys): agent, model, parts (1 part(s))
[INFO] OpenCode: waiting for agent "build" message response (client timeout: 15 min)...
[INFO] OpenCode [agent build] attempt 1/5 failed: OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_f0232459"}}. Retrying in 2000ms...
[INFO] OpenCode request [agent build] model=opencode/gpt-5-nano promptLength=1584
[INFO] OpenCode sending prompt (full):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode prompt (full, no truncation):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode message body: agent=build, model=opencode/gpt-5-nano, parts[0].text length=1584
[DEBUG] OpenCode session create body: {"title":"copilot"}
[DEBUG] OpenCode response [OpenCode session.create] status=200 bodyLength=368. Full body:
{"id":"ses_1acf26310ffeSxgh488bAZEQ1e","slug":"nimble-engine","projectID":"ec8eb830b0d6977955d7a8b3aa51809de0488553","directory":"/home/runner/work/cursor-whisper/cursor-whisper","path":"","cost":0,"tokens":{"input":0,"output":0,"reasoning":0,"cache":{"read":0,"write":0}},"title":"copilot","version":"1.15.10","time":{"created":1779509861615,"updated":1779509861615}}
[DEBUG] OpenCode POST /session/ses_1acf26310ffeSxgh488bAZEQ1e/message body (keys): agent, model, parts (1 part(s))
[INFO] OpenCode: waiting for agent "build" message response (client timeout: 15 min)...
[INFO] OpenCode [agent build] attempt 2/5 failed: OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_c57d0037"}}. Retrying in 2000ms...
[INFO] OpenCode request [agent build] model=opencode/gpt-5-nano promptLength=1584
[INFO] OpenCode sending prompt (full):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode prompt (full, no truncation):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode message body: agent=build, model=opencode/gpt-5-nano, parts[0].text length=1584
[DEBUG] OpenCode session create body: {"title":"copilot"}
[DEBUG] OpenCode response [OpenCode session.create] status=200 bodyLength=368. Full body:
{"id":"ses_1acf25b16ffemgo2A46RXdtePv","slug":"silent-nebula","projectID":"ec8eb830b0d6977955d7a8b3aa51809de0488553","directory":"/home/runner/work/cursor-whisper/cursor-whisper","path":"","cost":0,"tokens":{"input":0,"output":0,"reasoning":0,"cache":{"read":0,"write":0}},"title":"copilot","version":"1.15.10","time":{"created":1779509863657,"updated":1779509863657}}
[DEBUG] OpenCode POST /session/ses_1acf25b16ffemgo2A46RXdtePv/message body (keys): agent, model, parts (1 part(s))
[INFO] OpenCode: waiting for agent "build" message response (client timeout: 15 min)...
[INFO] OpenCode [agent build] attempt 3/5 failed: OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_bb1c4e62"}}. Retrying in 2000ms...
[INFO] OpenCode request [agent build] model=opencode/gpt-5-nano promptLength=1584
[INFO] OpenCode sending prompt (full):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode prompt (full, no truncation):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode message body: agent=build, model=opencode/gpt-5-nano, parts[0].text length=1584
[DEBUG] OpenCode session create body: {"title":"copilot"}
[DEBUG] OpenCode response [OpenCode session.create] status=200 bodyLength=366. Full body:
{"id":"ses_1acf25323ffeSSzutr2nQtwmYq","slug":"proud-river","projectID":"ec8eb830b0d6977955d7a8b3aa51809de0488553","directory":"/home/runner/work/cursor-whisper/cursor-whisper","path":"","cost":0,"tokens":{"input":0,"output":0,"reasoning":0,"cache":{"read":0,"write":0}},"title":"copilot","version":"1.15.10","time":{"created":1779509865692,"updated":1779509865692}}
[DEBUG] OpenCode POST /session/ses_1acf25323ffeSSzutr2nQtwmYq/message body (keys): agent, model, parts (1 part(s))
[INFO] OpenCode: waiting for agent "build" message response (client timeout: 15 min)...
[INFO] OpenCode [agent build] attempt 4/5 failed: OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_167c806b"}}. Retrying in 2000ms...
[INFO] OpenCode request [agent build] model=opencode/gpt-5-nano promptLength=1584
[INFO] OpenCode sending prompt (full):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode prompt (full, no truncation):
Based on the following issue description, recommend concrete steps to implement or address this issue. Order the steps logically (e.g. setup, implementation, tests, docs). Keep each step clear and actionable.

**Important – use full project context:** In addition to reading the relevant code (respecting any file ignore patterns specified), read the repository documentation (e.g. README, docs/) and any defined rules or conventions (e.g. .cursor/rules, CONTRIBUTING, project guidelines). This gives you a complete picture of the project and leads to better decisions in both quality of reasoning and efficiency.

**Issue #1 description:**
### Is there an existing issue or feature request for this?

- [x] I have searched the existing issues and feature requests.

### What area does this improvement affect?

None

### What actions does this improvement affect?

_No response_

### Description of the idea or improvement

I want the Visual Studio Code extension to support multiple AI providers for prompt optimization based on the user's input.


### Current limitations or challenges

None

### Expected impact

High productivity with any provider

### Alternatives considered

_No response_

### Version of cursor whisper

_No response_

### Additional context or comments

_No response_

<!-- copilot-configuration-start
{
    "branchType": "feature"
}
copilot-configuration-end -->

Provide a numbered list of recommended steps in **markdown** (use headings, lists, code blocks for commands or snippets) so it is easy to read. You can add brief sub-bullets per step if needed.
[DEBUG] OpenCode message body: agent=build, model=opencode/gpt-5-nano, parts[0].text length=1584
[DEBUG] OpenCode session create body: {"title":"copilot"}
[DEBUG] OpenCode response [OpenCode session.create] status=200 bodyLength=364. Full body:
{"id":"ses_1acf24b30ffestkJad68VP0VMW","slug":"tidy-wolf","projectID":"ec8eb830b0d6977955d7a8b3aa51809de0488553","directory":"/home/runner/work/cursor-whisper/cursor-whisper","path":"","cost":0,"tokens":{"input":0,"output":0,"reasoning":0,"cache":{"read":0,"write":0}},"title":"copilot","version":"1.15.10","time":{"created":1779509867727,"updated":1779509867727}}
[DEBUG] OpenCode POST /session/ses_1acf24b30ffestkJad68VP0VMW/message body (keys): agent, model, parts (1 part(s))
[INFO] OpenCode: waiting for agent "build" message response (client timeout: 15 min)...
[ERROR] OpenCode [agent build] failed after 5 attempts: OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_c9c87cb2"}}
[ERROR] Error querying OpenCode agent build (opencode/gpt-5-nano): OpenCode message failed (agent=build): 500 {"name":"UnknownError","data":{"message":"Unexpected server error. Check server logs for details.","ref":"err_c9c87cb2"}}
[DEBUG] RecommendSteps: OpenCode response received. Steps length=12. Full steps:
No response.
[INFO] Main run finished. Results: 5, total steps: 2.
[INFO] Publishing result: 5 result(s), 2 step(s), 0 error(s).
[INFO] 📄 Executing PublishResultUseCase.

🚀 Happy coding!

^{Made with ❤️ by vypdev/copilot}

[vypbot]

✨ Feature Actions

1. The issue's title was updated from ✨ - Multiple AI providers to ✨🧑‍💻 - Multiple AI providers.
2. The branch develop was used to create feature/1-multiple-ai-providers.
3. Moved issue to In Progress in vypdev.

Reminder

1. Take a coffee break while you work ☕.
2. Check out the branch:

git fetch -v && git checkout feature/1-multiple-ai-providers

3. Commit the needed changes with this prefix:

feature-1-multiple-ai-providers

4. Open a Pull Request from feature/1-multiple-ai-providers to develop. New PR

Debug log

[DEBUG] Setup done. Issue number: 1, isSingleAction: false, isIssue: true, isPullRequest: false, isPush: false
[DEBUG] ✅ No previous runs active. Continuing...
[INFO] Running IssueUseCase for issue #1.
[INFO] 📋 Executing IssueUseCase.
[INFO] 🔐 Executing CheckPermissionsUseCase.
[DEBUG] Ignoring permission checking. Issue state is not 'opened'.
[INFO] 👤 Executing AssignMemberToIssueUseCase.
[DEBUG] #1 needs 1 assignees.
[INFO] ✏️ Executing UpdateTitleUseCase.
[DEBUG] Issue title updated to: ✨🧑‍💻 - Multiple AI providers
[INFO] 🏷️ Executing UpdateIssueTypeUseCase.
[DEBUG] Setting issue type for issue 1 to Feature
[DEBUG] Creating new issue type "Feature" for organization vypdev...
[DEBUG] Issue Type: Feature
[DEBUG] Issue Type Description: A new functionality, enhancement, or improvement requested for the project.
[DEBUG] Issue Type Color: green
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Organization ID: MDEyOk9yZ2FuaXphdGlvbjYzNzA1NDAz
[DEBUG] Organization issue types: [{"id":"IT_kwDOA8wRO84AuWac","name":"Task"},{"id":"IT_kwDOA8wRO84AuWag","name":"Bug"},{"id":"IT_kwDOA8wRO84AuWak","name":"Feature"},{"id":"IT_kwDOA8wRO84Bw9l2","name":"Documentation"},{"id":"IT_kwDOA8wRO84Bw9mw","name":"Question"},{"id":"IT_kwDOA8wRO84Bw9oA","name":"Maintenance"},{"id":"IT_kwDOA8wRO84Bw90_","name":"Release"},{"id":"IT_kwDOA8wRO84Bxfgg","name":"Hotfix"},{"id":"IT_kwDOA8wRO84Bxfgh","name":"Help"}]
[DEBUG] Found existing issue type "Feature" with ID: IT_kwDOA8wRO84AuWak
[DEBUG] Successfully updated issue type to Feature
[INFO] 🔗 Executing LinkIssueProjectUseCase.
[DEBUG] Fetched issue ID: I_kwDOSlXe6s8AAAABDKA50g
[DEBUG] Content I_kwDOSlXe6s8AAAABDKA50g is already linked to project PVT_kwDOA8wRO84Ajh7B.
[DEBUG] LinkIssueProject: issue already linked to project "vypdev" or link failed.
[INFO] 📏 Executing CheckPriorityIssueSizeUseCase.
[DEBUG] Priority: priority: low
[DEBUG] Github Priority Label: P2
[DEBUG] Content ID: PVTI_lADOA8wRO84Ajh7Bzgtlr90
[DEBUG] Target field: {
  "id": "PVTSSF_lADOA8wRO84Ajh7Bzgb4MPQ",
  "name": "Priority",
  "options": [
    {
      "id": "4af6496f",
      "name": "P0"
    },
    {
      "id": "f87877a5",
      "name": "P1"
    },
    {
      "id": "27f99ddc",
      "name": "P2"
    }
  ]
}
[DEBUG] Target option: {
  "id": "27f99ddc",
  "name": "P2"
}
[DEBUG] Field 'Priority' is already set to 'P2'. No update needed.
[INFO] 🌿 Executing PrepareBranchesUseCase.
[DEBUG] Fetching tags and forcing fetch...
[DEBUG] Fetching all remote branches with verbose output...
[DEBUG] Successfully fetched all remote branches.
[DEBUG] Available branches:
[DEBUG] - develop
[DEBUG] - master
[DEBUG] Branch type: feature
[DEBUG] Managing branches
[DEBUG] [
  "develop",
  "master"
]
[DEBUG] Searching for branches related to issue #1...
[DEBUG] ============================================================================================
[DEBUG] Base branch: develop
[DEBUG] New branch: feature/1-multiple-ai-providers
[DEBUG] Creating linked branch feature/1-multiple-ai-providers from develop
[DEBUG] Repository information retrieved: {"target":{"oid":"ec8eb830b0d6977955d7a8b3aa51809de0488553"}}
[DEBUG] Linking branch "feature/1-multiple-ai-providers" (oid: ec8eb830b0d6977955d7a8b3aa51809de0488553) to issue #1
[DEBUG] Linked branch: {"id":"LB_kwDPAAAAAQygOdLOANVjwQ","ref":{"name":"feature/1-multiple-ai-providers"}}
[INFO] 📜 Executing CommitPrefixBuilderUseCase.
[DEBUG] Commit prefix generated: feature-1-multiple-ai-providers
[INFO] 📥 Executing MoveIssueToInProgressUseCase.
[DEBUG] Content ID: PVTI_lADOA8wRO84Ajh7Bzgtlr90
[DEBUG] Target field: {
  "id": "PVTSSF_lADOA8wRO84Ajh7Bzgb4L2E",
  "name": "Status",
  "options": [
    {
      "id": "f75ad846",
      "name": "Todo"
    },
    {
      "id": "47fc9ee4",
      "name": "In Progress"
    },
    {
      "id": "98236657",
      "name": "Done"
    }
  ]
}
[DEBUG] Target option: {
  "id": "47fc9ee4",
  "name": "In Progress"
}
[DEBUG] Target field ID: PVTSSF_lADOA8wRO84Ajh7Bzgb4L2E
[DEBUG] Target option ID: 47fc9ee4
[INFO] 🧹 Executing RemoveNotNeededBranchesUseCase.
[INFO] 🏷️ Executing DeployAddedUseCase.
[INFO] 🏷️ Executing DeployedAddedUseCase.
[INFO] Main run finished. Results: 8, total steps: 3.
[INFO] Publishing result: 8 result(s), 3 step(s), 0 error(s).
[INFO] 📄 Executing PublishResultUseCase.

🚀 Happy coding!

^{Made with ❤️ by vypdev/copilot}

[efraespada]

hello

holaa

^{Made with ❤️ by vypdev/copilot}