Tradução de apoio para consulta. Código e identificadores técnicos preservados. Consultar referência original ↗

Codex

Fonte: https://docs.qwencloud.com/coding-plan/tools/codex - extraído do HTML público arquivado.

Assistente de codificação de IA do OpenAI Ligue o Codex ao QwenCloud via Token Plan (Edição Pessoal), Token Plan (Edição da Equipe), ou faturamento pago como você vai.

Instale o Codex

Instale ou atualize [Node.js] (https://nodejs.org/en/download/) (v18.0 ou mais tarde).
Execute o seguinte comando em um terminal para instalar o Codex. Entendido.

npm install -g @openai/codex

Execute o seguinte comando para verificar a instalação. Entendido.

codex --version

Configure credenciais de acesso.

Para se conectar, edite o arquivo de configuração ~/.codex/config.toml e configurar a variável de ambiente OPENAI_API_KEY. Substitua os valores correspondentes com base no seu plano de faturamento selecionado.

Token Plan (Edição Pessoal)

Por model, selecione um [modelo suportado] (https://www.qwencloud.com/token-plan/personal/token-plan-personal-overview#supported-models). Defina o OPENAI_API_KEY variável de ambiente para o Token Plan (Edição Pessoal) dedicado [Chave API] (https://home.qwencloud.com/api-keys).

Passo 1: Configure variáveis de ambiente

Defina o `OPENAI_API_KEY` variável de ambiente para o Token Plan (Edição Pessoal) chave dedicada API.

MacOS

Janelas

Execute o seguinte comando em um terminal para verificar o tipo de shell padrão. Entendido.

echo $SHELL

Defina a variável de ambiente com base no seu tipo de shell:

Zsh

Bash. Entendido.

# Replace YOUR_API_KEY with the Token Plan (Personal Edition) API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.zshrc

Entendido.

# Replace YOUR_API_KEY with the Token Plan (Personal Edition) API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.bash_profile

Execute o seguinte comando para aplicar a variável ambiente.

Zsh

Bash. Entendido.

source ~/.zshrc

Entendido.

source ~/.bash_profile

CMD

Powershell

Execute o seguinte comando em TMC para definir a variável de ambiente. Entendido.

REM Replace YOUR_API_KEY with the Token Plan (Personal Edition) API Key
setx OPENAI_API_KEY "YOUR_API_KEY"

Abra uma nova janela de TMC e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo % OPENAI_API_KEY%

Execute o seguinte comando em PowerShell para definir a variável de ambiente. Entendido.

# Replace YOUR_API_KEY with the Token Plan (Personal Edition) API Key
[Environment]::SetEnvironmentVariable("OPENAI_API_KEY", "YOUR_API_KEY", [EnvironmentVariableTarget]::User)

Abra uma nova janela PowerShell e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo $env:OPENAI_API_KEY

Passo 2: Escolha um método de acesso

Escolha um método de acesso baseado na API que o modelo suporta:

API de respostas

Se o modelo selecionado suporta a API [OpenAI Responses] (https://www.qwencloud.com/api-reference/chat/openai-responses Pode usar a última versão do Codex. Entendido.

model_provider = "Model_Studio_Token_Plan_Personal"
model = "auto"
[model_providers.Model_Studio_Token_Plan_Personal]
name = "Model_Studio_Token_Plan_Personal"
base_url = "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "responses"

Então configure metadados de modelo para que você possa trocar entre modelos. Criar ~/.codex/model-catalog.local.json com os modelos apoiados por este plano: Entendido.

{
  "models": [
    {
      "slug": "auto",
      "display_name": "auto",
      "description": "DashScope model: auto",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 1,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.8-max",
      "display_name": "qwen3.8-max",
      "description": "DashScope model: qwen3.8-max",
      "default_reasoning_level": "xhigh",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 983616,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 1,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.8-flash",
      "display_name": "qwen3.8-flash",
      "description": "DashScope model: qwen3.8-flash",
      "default_reasoning_level": "xhigh",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 983616,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 2,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.7-max",
      "display_name": "qwen3.7-max",
      "description": "DashScope model: qwen3.7-max",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 3,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.7-plus",
      "display_name": "qwen3.7-plus",
      "description": "DashScope model: qwen3.7-plus",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 4,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.6-flash",
      "display_name": "qwen3.6-flash",
      "description": "DashScope model: qwen3.6-flash",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 5,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.3",
      "display_name": "glm-5.3",
      "description": "DashScope model: glm-5.3",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": [
        "text"
      ],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 6,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.2",
      "display_name": "glm-5.2",
      "description": "DashScope model: glm-5.2",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 7,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4.1-flash",
      "display_name": "deepseek-v4.1-flash",
      "description": "DashScope model: deepseek-v4.1-flash",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 8,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4.1-flash-1017",
      "display_name": "deepseek-v4.1-flash-1017",
      "description": "DashScope model: deepseek-v4.1-flash-1017",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 8,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-pro",
      "display_name": "deepseek-v4-pro",
      "description": "DashScope model: deepseek-v4-pro",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 163840,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 9,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-pro-0813",
      "display_name": "deepseek-v4-pro-0813",
      "description": "DashScope model: deepseek-v4-pro-0813",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 163840,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 10,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-flash-0731",
      "display_name": "deepseek-v4-flash-0731",
      "description": "DashScope model: deepseek-v4-flash-0731",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 11,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    }
  ]
}

Adicione o seguinte a ~/.codex/config.toml para apontar para o arquivo: Entendido.

model_catalog_json = "~/.codex/model-catalog.local.json"

Depois de configurar, troque entre modelos com codex -m (por exemplo, codex -m qwen3.8-flash), ou entrar /model na TUI.

API de bate-papo/compleções (outros modelos)

Outros modelos exigem a API de Chat/Completions. Instale uma versão antiga do Codex, como a 0.80.0 (versões mais recentes do Codex não suportam mais wire_api = "chat"Se você tiver um erro após atualizar, veja o FAQ abaixo: Entendido.

npm install -g @openai/codex@0.80.0

Entendido.

model_provider = "Model_Studio_Token_Plan_Personal"
model = "glm-5"
[model_providers.Model_Studio_Token_Plan_Personal]
name = "Model_Studio_Token_Plan_Personal"
base_url = "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "chat"

qwen3.8-max Modo de pensamento:

Suporta tanto habilitado quanto desativado (modo de pensamento híbrido).
Temperatura: por padrão de 0,6 no modo de pensar. Valores abaixo de 0,6 são ajustados automaticamente para 0,6.
Controla a profundidade do raciocínio. Opções: Xhigh, médio, baixo. Padrão: Xhigh.

Token Plan (Edição da Equipe)

Por model, selecione um [modelo suportado] (https://www.qwencloud.com/token-plan/team/token-plan-team-overview#supported-models). Defina o OPENAI_API_KEY variável de ambiente para o plano Token (Edição da equipe) dedicado [Chave API] (https://home.qwencloud.com/api-keys).

Passo 1: Configure variáveis de ambiente

Defina o `OPENAI_API_KEY` variável de ambiente para a chave dedicada do plano Token (Edição da equipe) API.

MacOS

Janelas

Execute o seguinte comando em um terminal para verificar o tipo de shell padrão. Entendido.

echo $SHELL

Defina a variável de ambiente com base no seu tipo de shell:

Zsh

Bash. Entendido.

# Replace YOUR_API_KEY with the Token Plan (Team Edition) API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.zshrc

Entendido.

# Replace YOUR_API_KEY with the Token Plan (Team Edition) API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.bash_profile

Execute o seguinte comando para aplicar a variável ambiente.

Zsh

Bash. Entendido.

source ~/.zshrc

Entendido.

source ~/.bash_profile

CMD

Powershell

Execute o seguinte comando em TMC para definir a variável de ambiente. Entendido.

REM Replace YOUR_API_KEY with the Token Plan (Team Edition) API Key
setx OPENAI_API_KEY "YOUR_API_KEY"

Abra uma nova janela de TMC e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo % OPENAI_API_KEY%

Execute o seguinte comando em PowerShell para definir a variável de ambiente. Entendido.

# Replace YOUR_API_KEY with the Token Plan (Team Edition) API Key
[Environment]::SetEnvironmentVariable("OPENAI_API_KEY", "YOUR_API_KEY", [EnvironmentVariableTarget]::User)

Abra uma nova janela PowerShell e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo $env:OPENAI_API_KEY

Passo 2: Escolha um método de acesso

Escolha um método de acesso baseado na API que o modelo suporta:

API de respostas

Se o modelo selecionado suporta a API [OpenAI Responses] (https://www.qwencloud.com/api-reference/chat/openai-responses Pode usar a última versão do Codex. Entendido.

model_provider = "Model_Studio_Token_Plan"
model = "auto"
[model_providers.Model_Studio_Token_Plan]
name = "Model_Studio_Token_Plan"
base_url = "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "responses"

Então configure metadados de modelo para que você possa trocar entre modelos. Criar ~/.codex/model-catalog.local.json com os modelos apoiados por este plano: Entendido.

{
  "models": [
    {
      "slug": "auto",
      "display_name": "auto",
      "description": "DashScope model: auto",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 1,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.8-max",
      "display_name": "qwen3.8-max",
      "description": "DashScope model: qwen3.8-max",
      "default_reasoning_level": "xhigh",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 983616,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 1,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.8-flash",
      "display_name": "qwen3.8-flash",
      "description": "DashScope model: qwen3.8-flash",
      "default_reasoning_level": "xhigh",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 983616,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 2,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.7-max",
      "display_name": "qwen3.7-max",
      "description": "DashScope model: qwen3.7-max",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 3,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.7-plus",
      "display_name": "qwen3.7-plus",
      "description": "DashScope model: qwen3.7-plus",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 4,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.6-flash",
      "display_name": "qwen3.6-flash",
      "description": "DashScope model: qwen3.6-flash",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 5,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.3",
      "display_name": "glm-5.3",
      "description": "DashScope model: glm-5.3",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": [
        "text"
      ],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 6,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.2",
      "display_name": "glm-5.2",
      "description": "DashScope model: glm-5.2",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 7,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4.1-flash",
      "display_name": "deepseek-v4.1-flash",
      "description": "DashScope model: deepseek-v4.1-flash",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 8,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4.1-flash-1017",
      "display_name": "deepseek-v4.1-flash-1017",
      "description": "DashScope model: deepseek-v4.1-flash-1017",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 8,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-pro",
      "display_name": "deepseek-v4-pro",
      "description": "DashScope model: deepseek-v4-pro",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 163840,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 9,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-pro-0813",
      "display_name": "deepseek-v4-pro-0813",
      "description": "DashScope model: deepseek-v4-pro-0813",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 163840,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 10,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-flash-0731",
      "display_name": "deepseek-v4-flash-0731",
      "description": "DashScope model: deepseek-v4-flash-0731",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 11,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.6-plus",
      "display_name": "qwen3.6-plus",
      "description": "DashScope model: qwen3.6-plus",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 12,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "kimi-k2.7-code",
      "display_name": "kimi-k2.7-code",
      "description": "DashScope model: kimi-k2.7-code",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 262144,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 15,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "kimi-k2.6",
      "display_name": "kimi-k2.6",
      "description": "DashScope model: kimi-k2.6",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 262144,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 16,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "kimi-k2.5",
      "display_name": "kimi-k2.5",
      "description": "DashScope model: kimi-k2.5",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 262144,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 17,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.1",
      "display_name": "glm-5.1",
      "description": "DashScope model: glm-5.1",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 202752,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 18,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5",
      "display_name": "glm-5",
      "description": "DashScope model: glm-5",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 202752,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 19,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "MiniMax-M2.5",
      "display_name": "MiniMax-M2.5",
      "description": "DashScope model: MiniMax-M2.5",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 204800,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 20,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    }
  ]
}

Adicione o seguinte a ~/.codex/config.toml para apontar para o arquivo: Entendido.

model_catalog_json = "~/.codex/model-catalog.local.json"

Depois de configurar, troque entre modelos com codex -m (por exemplo, codex -m qwen3.8-flash), ou entrar /model na TUI.

API de bate-papo/compleções (outros modelos)

npm install -g @openai/codex@0.80.0

Entendido.

model_provider = "Model_Studio_Token_Plan"
model = "glm-5"
[model_providers.Model_Studio_Token_Plan]
name = "Model_Studio_Token_Plan"
base_url = "https://token-plan.maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "chat"

qwen3.8-max Modo de pensamento:

Suporta tanto habilitado quanto desativado (modo de pensamento híbrido).
Temperatura: por padrão de 0,6 no modo de pensar. Valores abaixo de 0,6 são ajustados automaticamente para 0,6.
Controla a profundidade do raciocínio. Opções: Xhigh, médio, baixo. Padrão: Xhigh.

Pagar como você vai

Defina o OPENAI_API_KEY - Variável de ambiente para o seu.QwenCloud API Key] (https://home.qwencloud.com/api-keys) e escolher entre os [modelos apoiados] (https://www.qwencloud.com/api-reference/chat/openai-chat). Preparar. base_url para https://maas.qwencloudapi.com/compatible-mode/v1. O pagamento como você vai suporta tanto a API Responses quanto a API Chat/Completions. Escolha baseado no modelo que está usando:

Passo 1: Configure variáveis de ambiente

Defina o `OPENAI_API_KEY` - Variável de ambiente para o seu.QwenCloud API Key] (https://home.qwencloud.com/api-keys).

MacOS

Janelas

Execute o seguinte comando em um terminal para verificar o tipo de shell padrão. Entendido.

echo $SHELL

Defina a variável de ambiente com base no seu tipo de shell:

Zsh

Bash. Entendido.

# Replace YOUR_API_KEY with the QwenCloud API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.zshrc

Entendido.

# Replace YOUR_API_KEY with the QwenCloud API Key
echo 'export OPENAI_API_KEY="YOUR_API_KEY"' >> ~/.bash_profile

Execute o seguinte comando para aplicar a variável ambiente.

Zsh

Bash. Entendido.

source ~/.zshrc

Entendido.

source ~/.bash_profile

CMD

Powershell

Execute o seguinte comando em TMC para definir a variável de ambiente. Entendido.

REM Replace YOUR_API_KEY with the QwenCloud API Key
setx OPENAI_API_KEY "YOUR_API_KEY"

Abra uma nova janela de TMC e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo % OPENAI_API_KEY%

Execute o seguinte comando em PowerShell para definir a variável de ambiente. Entendido.

# Replace YOUR_API_KEY with the QwenCloud API Key
[Environment]::SetEnvironmentVariable("OPENAI_API_KEY", "YOUR_API_KEY", [EnvironmentVariableTarget]::User)

Abra uma nova janela PowerShell e execute o seguinte comando para verificar se a variável ambiente está definida. Entendido.

echo $env:OPENAI_API_KEY

Passo 2: Escolha um método de acesso

Escolha um método de acesso baseado na API que o modelo suporta:

API de respostas

Aplica-se a modelos que suportam a API do OpenAI (https://www.qwencloud.com/api-reference/chat/openai-responses- (como qwen3.7-max), compatível com a última versão do Codex. Entendido.

model_provider = "Model_Studio"
model = "qwen3.7-max"
[model_providers.Model_Studio]
name = "Model_Studio"
base_url = "https://maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "responses"

Então configure metadados de modelo para que você possa trocar entre modelos. Criar ~/.codex/model-catalog.local.json com os modelos apoiados por este plano: Entendido.

{
  "models": [
    {
      "slug": "qwen3.8-max",
      "display_name": "qwen3.8-max",
      "description": "DashScope model: qwen3.8-max",
      "default_reasoning_level": "xhigh",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 983616,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": true,
      "input_modalities": ["text", "image"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 1,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "qwen3.7-max",
      "display_name": "qwen3.7-max",
      "description": "DashScope model: qwen3.7-max",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 2,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "deepseek-v4-pro",
      "display_name": "deepseek-v4-pro",
      "description": "DashScope model: deepseek-v4-pro",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 163840,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 3,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    },
    {
      "slug": "glm-5.2",
      "display_name": "glm-5.2",
      "description": "DashScope model: glm-5.2",
      "default_reasoning_level": "medium",
      "supported_reasoning_levels": [
        {
          "effort": "low",
          "description": "Fast responses with lighter reasoning"
        },
        {
          "effort": "medium",
          "description": "Balances speed and reasoning depth"
        },
        {
          "effort": "high",
          "description": "Greater reasoning depth for complex problems"
        },
        {
          "effort": "xhigh",
          "description": "Extra high reasoning depth for complex problems"
        }
      ],
      "context_window": 1000000,
      "effective_context_window_percent": 95,
      "supports_parallel_tool_calls": false,
      "supports_image_detail_original": false,
      "input_modalities": ["text"],
      "shell_type": "default",
      "visibility": "list",
      "supported_in_api": true,
      "priority": 4,
      "base_instructions": "",
      "support_verbosity": false,
      "supports_reasoning_summaries": false,
      "experimental_supported_tools": [],
      "truncation_policy": {
        "mode": "bytes",
        "limit": 10000
      }
    }
  ]
}

Adicione o seguinte a ~/.codex/config.toml para apontar para o arquivo: Entendido.

model_catalog_json = "~/.codex/model-catalog.local.json"

Depois de configurar, troque entre modelos com codex -m (por exemplo, codex -m qwen3.8-max), ou entrar /model na TUI.

API de bate-papo/compleções

Aplicável a modelos que só suportam a API Chat/Completions. Requer instalar o Codex 0.80.0: Entendido.

npm install -g @openai/codex@0.80.0

Entendido.

model_provider = "Model_Studio"
model = "qwen3.6-plus"
[model_providers.Model_Studio]
name = "Model_Studio"
base_url = "https://maas.qwencloudapi.com/compatible-mode/v1"
env_key = "OPENAI_API_KEY"
wire_api = "chat"

Verificar configuração

Depois que a configuração estiver completa, abra uma nova janela de terminal e execute o seguinte comando para iniciar o Codex: Entendido.

codex

Se a interface de bate-papo for lançada com sucesso, a configuração está correta.

FAQ

O que devo fazer se uma ferramenta de terceiros reportar "modelos domésticos não suportados" ou "verificar rejeitado / pedido ruim (400)"?

Algumas ferramentas de gerenciamento de terceiros (como CC-Switch) enviam um pedido de sonda de verificação de saúde/teste de conexão quando trocam de provedores. O formato desta sonda difere do formato de solicitação que o Codex usa. QwenCloud Gateway pode rejeitá-lo com 400 pedidos ruins, e a ferramenta então relata "modelos domésticos não suportados". Esta mensagem só indica que a sonda falhou. QwenCloud Falta suporte para modelos domésticos, nem afeta o uso real do Codex. QwenCloud suporta usando modelos domésticos como qwen3.7-max, qwen3.7-plus, qwen3.6-plus, qwen3.6-flash, e glm-5 através do Codex. Para detalhes de configuração, veja Configurar credenciais de acesso acima. ~/.codex/config.toml Como descrito em Configurar credenciais de acesso, sem depender do resultado do exame de saúde de terceiros. Após a configuração, inicie o Codex como descrito na configuração Verifique; se a interface de bate-papo for lançada normalmente, modelos domésticos estão funcionando.

O que devo fazer se eu tiver um erro de configuração?

Novas versões do Codex não suportam mais wire_api = "chat". Dependendo da versão, você pode ver um dos seguintes erros:

wire_api = "chat" is no longer supported
unknown configuration field wire_api Solução:
Erro wire_api = "chat" is no longer supportedMude wire_api para responses e verificar que base_url Está correto. Veja Configurar credenciais de acesso para exemplos de configuração.
Erro unknown configuration field wire_api- Remova o wire_api linha da seção de provedor correspondente em ~/.codex/config.toml.

O que devo fazer se eu tiver o erro "estado inesperado 401 não autorizado"?

? Porque:

Usando uma chave API de um plano diferente (API Keys for Token Plan (Edição Pessoal), Token Plan (Edição da Equipe) e pagamento como você vai não são intercambiáveis)
Assinatura expirada.
API Key foi copiada incompletamente, contém espaços, ou tem um erro de digitação Solução:
Verifique se você está usando a chave dedicada da API para seu plano selecionado.
Vá para a página de gerenciamento do seu plano selecionado e verifique se a assinatura expirou.
Re-copiem a API Key e certifiquem-se de que está completa e não tem espaço.
Se o erro persistir após verificar o acima, redefina a chave da API na página de gerenciamento do seu plano selecionado. Depois de redefinição, use a nova chave API para configuração.

O que devo fazer se eu tiver o erro "estado inesperado 404 Não Encontrado"?

? Porque ... base_url Ou wire_api No arquivo de configuração está incorreto. base_url e wire_api Combinar a configuração para o seu plano selecionado. Veja os exemplos de configuração do seu plano em Configurar credenciais de acesso acima.

O que devo fazer se eu tiver o erro "stream desconectado antes de completar: stream fechado antes da resposta.completado"?

A conexão entre o Codex e o servidor foi interrompida antes da resposta ser completada. Isso ocorre nos seguintes cenários:

A conversa é longa demais, fazendo um pedido de compactação de contexto falhar.
Rede instável causando a conexão entre o SSE e o WebSocket para soltar o fluxo médio.
Sobrecarga ou limitação de taxa do servidor que termina a conexão mais cedo Solução:
Comece uma nova conversa para evitar acúmulo excessivo de contexto em uma única linha.
Verifique sua conexão de rede. Tente desativar VPN ou proxy e tente novamente.
Espere e tente novamente. O Codex tem um mecanismo de retentação embutido que resolve a maioria das falhas transitórias automaticamente. [Anterior] (https://www.qwencloud.com/developer-guides/clients-and-developer-tools/cursor)[Qwen Code Oficial de codificação de IA baseado em terminalhttps://www.qwencloud.com/developer-guides/clients-and-developer-tools/qwen-code)

Codex

Defina o OPENAI_API_KEY variável de ambiente para o Token Plan (Edição Pessoal) chave dedicada API.

MacOS

Zsh

Zsh

CMD

Defina o OPENAI_API_KEY variável de ambiente para a chave dedicada do plano Token (Edição da equipe) API.

MacOS

Zsh

Zsh

CMD

Defina o OPENAI_API_KEY - Variável de ambiente para o seu.QwenCloud API Key] (https://home.qwencloud.com/api-keys).

MacOS

Zsh

Zsh

CMD

Defina o `OPENAI_API_KEY` variável de ambiente para o Token Plan (Edição Pessoal) chave dedicada API.

Defina o `OPENAI_API_KEY` variável de ambiente para a chave dedicada do plano Token (Edição da equipe) API.

Defina o `OPENAI_API_KEY` - Variável de ambiente para o seu.QwenCloud API Key] (https://home.qwencloud.com/api-keys).