import { describe, expect, test } from "bun:test"
import { ProviderTransform } from "../../src/provider/transform"

const OUTPUT_TOKEN_MAX = 32000

describe("ProviderTransform.options - setCacheKey", () => {
  const sessionID = "test-session-123"

  const mockModel = {
    id: "anthropic/claude-3-5-sonnet",
    providerID: "anthropic",
    api: {
      id: "claude-3-5-sonnet-20241022",
      url: "https://api.anthropic.com",
      npm: "@ai-sdk/anthropic",
    },
    name: "Claude 3.5 Sonnet",
    capabilities: {
      temperature: true,
      reasoning: false,
      attachment: true,
      toolcall: true,
      input: { text: true, audio: false, image: true, video: false, pdf: true },
      output: { text: true, audio: false, image: false, video: false, pdf: false },
      interleaved: false,
    },
    cost: {
      input: 0.003,
      output: 0.015,
      cache: { read: 0.0003, write: 0.00375 },
    },
    limit: {
      context: 200000,
      output: 8192,
    },
    status: "active",
    options: {},
    headers: {},
  } as any

  test("should set promptCacheKey when providerOptions.setCacheKey is true", () => {
    const result = ProviderTransform.options({
      model: mockModel,
      sessionID,
      providerOptions: { setCacheKey: true },
    })
    expect(result.promptCacheKey).toBe(sessionID)
  })

  test("should not set promptCacheKey when providerOptions.setCacheKey is false", () => {
    const result = ProviderTransform.options({
      model: mockModel,
      sessionID,
      providerOptions: { setCacheKey: false },
    })
    expect(result.promptCacheKey).toBeUndefined()
  })

  test("should not set promptCacheKey when providerOptions is undefined", () => {
    const result = ProviderTransform.options({
      model: mockModel,
      sessionID,
      providerOptions: undefined,
    })
    expect(result.promptCacheKey).toBeUndefined()
  })

  test("should not set promptCacheKey when providerOptions does not have setCacheKey", () => {
    const result = ProviderTransform.options({ model: mockModel, sessionID, providerOptions: {} })
    expect(result.promptCacheKey).toBeUndefined()
  })

  test("should set promptCacheKey for openai provider regardless of setCacheKey", () => {
    const openaiModel = {
      ...mockModel,
      providerID: "openai",
      api: {
        id: "gpt-4",
        url: "https://api.openai.com",
        npm: "@ai-sdk/openai",
      },
    }
    const result = ProviderTransform.options({ model: openaiModel, sessionID, providerOptions: {} })
    expect(result.promptCacheKey).toBe(sessionID)
  })

  test("should set store=false for openai provider", () => {
    const openaiModel = {
      ...mockModel,
      providerID: "openai",
      api: {
        id: "gpt-4",
        url: "https://api.openai.com",
        npm: "@ai-sdk/openai",
      },
    }
    const result = ProviderTransform.options({
      model: openaiModel,
      sessionID,
      providerOptions: {},
    })
    expect(result.store).toBe(false)
  })
})

describe("ProviderTransform.maxOutputTokens", () => {
  test("returns 32k when modelLimit > 32k", () => {
    const modelLimit = 100000
    const result = ProviderTransform.maxOutputTokens("@ai-sdk/openai", {}, modelLimit, OUTPUT_TOKEN_MAX)
    expect(result).toBe(OUTPUT_TOKEN_MAX)
  })

  test("returns modelLimit when modelLimit < 32k", () => {
    const modelLimit = 16000
    const result = ProviderTransform.maxOutputTokens("@ai-sdk/openai", {}, modelLimit, OUTPUT_TOKEN_MAX)
    expect(result).toBe(16000)
  })

  describe("azure", () => {
    test("returns 32k when modelLimit > 32k", () => {
      const modelLimit = 100000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/azure", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(OUTPUT_TOKEN_MAX)
    })

    test("returns modelLimit when modelLimit < 32k", () => {
      const modelLimit = 16000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/azure", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(16000)
    })
  })

  describe("bedrock", () => {
    test("returns 32k when modelLimit > 32k", () => {
      const modelLimit = 100000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/amazon-bedrock", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(OUTPUT_TOKEN_MAX)
    })

    test("returns modelLimit when modelLimit < 32k", () => {
      const modelLimit = 16000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/amazon-bedrock", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(16000)
    })
  })

  describe("anthropic without thinking options", () => {
    test("returns 32k when modelLimit > 32k", () => {
      const modelLimit = 100000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(OUTPUT_TOKEN_MAX)
    })

    test("returns modelLimit when modelLimit < 32k", () => {
      const modelLimit = 16000
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", {}, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(16000)
    })
  })

  describe("anthropic with thinking options", () => {
    test("returns 32k when budgetTokens + 32k <= modelLimit", () => {
      const modelLimit = 100000
      const options = {
        thinking: {
          type: "enabled",
          budgetTokens: 10000,
        },
      }
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(OUTPUT_TOKEN_MAX)
    })

    test("returns modelLimit - budgetTokens when budgetTokens + 32k > modelLimit", () => {
      const modelLimit = 50000
      const options = {
        thinking: {
          type: "enabled",
          budgetTokens: 30000,
        },
      }
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(20000)
    })

    test("returns 32k when thinking type is not enabled", () => {
      const modelLimit = 100000
      const options = {
        thinking: {
          type: "disabled",
          budgetTokens: 10000,
        },
      }
      const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
      expect(result).toBe(OUTPUT_TOKEN_MAX)
    })
  })
})

describe("ProviderTransform.schema - gemini array items", () => {
  test("adds missing items for array properties", () => {
    const geminiModel = {
      providerID: "google",
      api: {
        id: "gemini-3-pro",
      },
    } as any

    const schema = {
      type: "object",
      properties: {
        nodes: { type: "array" },
        edges: { type: "array", items: { type: "string" } },
      },
    } as any

    const result = ProviderTransform.schema(geminiModel, schema) as any

    expect(result.properties.nodes.items).toBeDefined()
    expect(result.properties.edges.items.type).toBe("string")
  })
})

describe("ProviderTransform.message - DeepSeek reasoning content", () => {
  test("DeepSeek with tool calls includes reasoning_content in providerOptions", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "reasoning", text: "Let me think about this..." },
          {
            type: "tool-call",
            toolCallId: "test",
            toolName: "bash",
            input: { command: "echo hello" },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(
      msgs,
      {
        id: "deepseek/deepseek-chat",
        providerID: "deepseek",
        api: {
          id: "deepseek-chat",
          url: "https://api.deepseek.com",
          npm: "@ai-sdk/openai-compatible",
        },
        name: "DeepSeek Chat",
        capabilities: {
          temperature: true,
          reasoning: true,
          attachment: false,
          toolcall: true,
          input: { text: true, audio: false, image: false, video: false, pdf: false },
          output: { text: true, audio: false, image: false, video: false, pdf: false },
          interleaved: {
            field: "reasoning_content",
          },
        },
        cost: {
          input: 0.001,
          output: 0.002,
          cache: { read: 0.0001, write: 0.0002 },
        },
        limit: {
          context: 128000,
          output: 8192,
        },
        status: "active",
        options: {},
        headers: {},
        release_date: "2023-04-01",
      },
      {},
    )

    expect(result).toHaveLength(1)
    expect(result[0].content).toEqual([
      {
        type: "tool-call",
        toolCallId: "test",
        toolName: "bash",
        input: { command: "echo hello" },
      },
    ])
    expect(result[0].providerOptions?.openaiCompatible?.reasoning_content).toBe("Let me think about this...")
  })

  test("Non-DeepSeek providers leave reasoning content unchanged", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "reasoning", text: "Should not be processed" },
          { type: "text", text: "Answer" },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(
      msgs,
      {
        id: "openai/gpt-4",
        providerID: "openai",
        api: {
          id: "gpt-4",
          url: "https://api.openai.com",
          npm: "@ai-sdk/openai",
        },
        name: "GPT-4",
        capabilities: {
          temperature: true,
          reasoning: false,
          attachment: true,
          toolcall: true,
          input: { text: true, audio: false, image: true, video: false, pdf: false },
          output: { text: true, audio: false, image: false, video: false, pdf: false },
          interleaved: false,
        },
        cost: {
          input: 0.03,
          output: 0.06,
          cache: { read: 0.001, write: 0.002 },
        },
        limit: {
          context: 128000,
          output: 4096,
        },
        status: "active",
        options: {},
        headers: {},
        release_date: "2023-04-01",
      },
      {},
    )

    expect(result[0].content).toEqual([
      { type: "reasoning", text: "Should not be processed" },
      { type: "text", text: "Answer" },
    ])
    expect(result[0].providerOptions?.openaiCompatible?.reasoning_content).toBeUndefined()
  })
})

describe("ProviderTransform.message - empty image handling", () => {
  const mockModel = {
    id: "anthropic/claude-3-5-sonnet",
    providerID: "anthropic",
    api: {
      id: "claude-3-5-sonnet-20241022",
      url: "https://api.anthropic.com",
      npm: "@ai-sdk/anthropic",
    },
    name: "Claude 3.5 Sonnet",
    capabilities: {
      temperature: true,
      reasoning: false,
      attachment: true,
      toolcall: true,
      input: { text: true, audio: false, image: true, video: false, pdf: true },
      output: { text: true, audio: false, image: false, video: false, pdf: false },
      interleaved: false,
    },
    cost: {
      input: 0.003,
      output: 0.015,
      cache: { read: 0.0003, write: 0.00375 },
    },
    limit: {
      context: 200000,
      output: 8192,
    },
    status: "active",
    options: {},
    headers: {},
  } as any

  test("should replace empty base64 image with error text", () => {
    const msgs = [
      {
        role: "user",
        content: [
          { type: "text", text: "What is in this image?" },
          { type: "image", image: "data:image/png;base64," },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, mockModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(2)
    expect(result[0].content[0]).toEqual({ type: "text", text: "What is in this image?" })
    expect(result[0].content[1]).toEqual({
      type: "text",
      text: "ERROR: Image file is empty or corrupted. Please provide a valid image.",
    })
  })

  test("should keep valid base64 images unchanged", () => {
    const validBase64 =
      "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
    const msgs = [
      {
        role: "user",
        content: [
          { type: "text", text: "What is in this image?" },
          { type: "image", image: `data:image/png;base64,${validBase64}` },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, mockModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(2)
    expect(result[0].content[0]).toEqual({ type: "text", text: "What is in this image?" })
    expect(result[0].content[1]).toEqual({ type: "image", image: `data:image/png;base64,${validBase64}` })
  })

  test("should handle mixed valid and empty images", () => {
    const validBase64 =
      "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=="
    const msgs = [
      {
        role: "user",
        content: [
          { type: "text", text: "Compare these images" },
          { type: "image", image: `data:image/png;base64,${validBase64}` },
          { type: "image", image: "data:image/jpeg;base64," },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, mockModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(3)
    expect(result[0].content[0]).toEqual({ type: "text", text: "Compare these images" })
    expect(result[0].content[1]).toEqual({ type: "image", image: `data:image/png;base64,${validBase64}` })
    expect(result[0].content[2]).toEqual({
      type: "text",
      text: "ERROR: Image file is empty or corrupted. Please provide a valid image.",
    })
  })
})

describe("ProviderTransform.message - anthropic empty content filtering", () => {
  const anthropicModel = {
    id: "anthropic/claude-3-5-sonnet",
    providerID: "anthropic",
    api: {
      id: "claude-3-5-sonnet-20241022",
      url: "https://api.anthropic.com",
      npm: "@ai-sdk/anthropic",
    },
    name: "Claude 3.5 Sonnet",
    capabilities: {
      temperature: true,
      reasoning: false,
      attachment: true,
      toolcall: true,
      input: { text: true, audio: false, image: true, video: false, pdf: true },
      output: { text: true, audio: false, image: false, video: false, pdf: false },
      interleaved: false,
    },
    cost: {
      input: 0.003,
      output: 0.015,
      cache: { read: 0.0003, write: 0.00375 },
    },
    limit: {
      context: 200000,
      output: 8192,
    },
    status: "active",
    options: {},
    headers: {},
  } as any

  test("filters out messages with empty string content", () => {
    const msgs = [
      { role: "user", content: "Hello" },
      { role: "assistant", content: "" },
      { role: "user", content: "World" },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(2)
    expect(result[0].content).toBe("Hello")
    expect(result[1].content).toBe("World")
  })

  test("filters out empty text parts from array content", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "text", text: "" },
          { type: "text", text: "Hello" },
          { type: "text", text: "" },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(1)
    expect(result[0].content[0]).toEqual({ type: "text", text: "Hello" })
  })

  test("filters out empty reasoning parts from array content", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "reasoning", text: "" },
          { type: "text", text: "Answer" },
          { type: "reasoning", text: "" },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(1)
    expect(result[0].content[0]).toEqual({ type: "text", text: "Answer" })
  })

  test("removes entire message when all parts are empty", () => {
    const msgs = [
      { role: "user", content: "Hello" },
      {
        role: "assistant",
        content: [
          { type: "text", text: "" },
          { type: "reasoning", text: "" },
        ],
      },
      { role: "user", content: "World" },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(2)
    expect(result[0].content).toBe("Hello")
    expect(result[1].content).toBe("World")
  })

  test("keeps non-text/reasoning parts even if text parts are empty", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "text", text: "" },
          { type: "tool-call", toolCallId: "123", toolName: "bash", input: { command: "ls" } },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(1)
    expect(result[0].content[0]).toEqual({
      type: "tool-call",
      toolCallId: "123",
      toolName: "bash",
      input: { command: "ls" },
    })
  })

  test("keeps messages with valid text alongside empty parts", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          { type: "reasoning", text: "Thinking..." },
          { type: "text", text: "" },
          { type: "text", text: "Result" },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {})

    expect(result).toHaveLength(1)
    expect(result[0].content).toHaveLength(2)
    expect(result[0].content[0]).toEqual({ type: "reasoning", text: "Thinking..." })
    expect(result[0].content[1]).toEqual({ type: "text", text: "Result" })
  })

  test("does not filter for non-anthropic providers", () => {
    const openaiModel = {
      ...anthropicModel,
      providerID: "openai",
      api: {
        id: "gpt-4",
        url: "https://api.openai.com",
        npm: "@ai-sdk/openai",
      },
    }

    const msgs = [
      { role: "assistant", content: "" },
      {
        role: "assistant",
        content: [{ type: "text", text: "" }],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, openaiModel, {})

    expect(result).toHaveLength(2)
    expect(result[0].content).toBe("")
    expect(result[1].content).toHaveLength(1)
  })
})

describe("ProviderTransform.message - strip openai metadata when store=false", () => {
  const openaiModel = {
    id: "openai/gpt-5",
    providerID: "openai",
    api: {
      id: "gpt-5",
      url: "https://api.openai.com",
      npm: "@ai-sdk/openai",
    },
    name: "GPT-5",
    capabilities: {
      temperature: true,
      reasoning: true,
      attachment: true,
      toolcall: true,
      input: { text: true, audio: false, image: true, video: false, pdf: false },
      output: { text: true, audio: false, image: false, video: false, pdf: false },
      interleaved: false,
    },
    cost: { input: 0.03, output: 0.06, cache: { read: 0.001, write: 0.002 } },
    limit: { context: 128000, output: 4096 },
    status: "active",
    options: {},
    headers: {},
  } as any

  test("preserves itemId and reasoningEncryptedContent when store=false", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "reasoning",
            text: "thinking...",
            providerOptions: {
              openai: {
                itemId: "rs_123",
                reasoningEncryptedContent: "encrypted",
              },
            },
          },
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_456",
              },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, openaiModel, { store: false }) as any[]

    expect(result).toHaveLength(1)
    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("rs_123")
    expect(result[0].content[1].providerOptions?.openai?.itemId).toBe("msg_456")
  })

  test("preserves itemId and reasoningEncryptedContent when store=false even when not openai", () => {
    const zenModel = {
      ...openaiModel,
      providerID: "zen",
    }
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "reasoning",
            text: "thinking...",
            providerOptions: {
              openai: {
                itemId: "rs_123",
                reasoningEncryptedContent: "encrypted",
              },
            },
          },
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_456",
              },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, zenModel, { store: false }) as any[]

    expect(result).toHaveLength(1)
    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("rs_123")
    expect(result[0].content[1].providerOptions?.openai?.itemId).toBe("msg_456")
  })

  test("preserves other openai options including itemId", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_123",
                otherOption: "value",
              },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, openaiModel, { store: false }) as any[]

    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
    expect(result[0].content[0].providerOptions?.openai?.otherOption).toBe("value")
  })

  test("preserves metadata for openai package when store is true", () => {
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_123",
              },
            },
          },
        ],
      },
    ] as any[]

    // openai package preserves itemId regardless of store value
    const result = ProviderTransform.message(msgs, openaiModel, { store: true }) as any[]

    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
  })

  test("preserves metadata for non-openai packages when store is false", () => {
    const anthropicModel = {
      ...openaiModel,
      providerID: "anthropic",
      api: {
        id: "claude-3",
        url: "https://api.anthropic.com",
        npm: "@ai-sdk/anthropic",
      },
    }
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_123",
              },
            },
          },
        ],
      },
    ] as any[]

    // store=false preserves metadata for non-openai packages
    const result = ProviderTransform.message(msgs, anthropicModel, { store: false }) as any[]

    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
  })

  test("preserves metadata using providerID key when store is false", () => {
    const opencodeModel = {
      ...openaiModel,
      providerID: "opencode",
      api: {
        id: "opencode-test",
        url: "https://api.opencode.ai",
        npm: "@ai-sdk/openai-compatible",
      },
    }
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              opencode: {
                itemId: "msg_123",
                otherOption: "value",
              },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, opencodeModel, { store: false }) as any[]

    expect(result[0].content[0].providerOptions?.opencode?.itemId).toBe("msg_123")
    expect(result[0].content[0].providerOptions?.opencode?.otherOption).toBe("value")
  })

  test("preserves itemId across all providerOptions keys", () => {
    const opencodeModel = {
      ...openaiModel,
      providerID: "opencode",
      api: {
        id: "opencode-test",
        url: "https://api.opencode.ai",
        npm: "@ai-sdk/openai-compatible",
      },
    }
    const msgs = [
      {
        role: "assistant",
        providerOptions: {
          openai: { itemId: "msg_root" },
          opencode: { itemId: "msg_opencode" },
          extra: { itemId: "msg_extra" },
        },
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: { itemId: "msg_openai_part" },
              opencode: { itemId: "msg_opencode_part" },
              extra: { itemId: "msg_extra_part" },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, opencodeModel, { store: false }) as any[]

    expect(result[0].providerOptions?.openai?.itemId).toBe("msg_root")
    expect(result[0].providerOptions?.opencode?.itemId).toBe("msg_opencode")
    expect(result[0].providerOptions?.extra?.itemId).toBe("msg_extra")
    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_openai_part")
    expect(result[0].content[0].providerOptions?.opencode?.itemId).toBe("msg_opencode_part")
    expect(result[0].content[0].providerOptions?.extra?.itemId).toBe("msg_extra_part")
  })

  test("does not strip metadata for non-openai packages when store is not false", () => {
    const anthropicModel = {
      ...openaiModel,
      providerID: "anthropic",
      api: {
        id: "claude-3",
        url: "https://api.anthropic.com",
        npm: "@ai-sdk/anthropic",
      },
    }
    const msgs = [
      {
        role: "assistant",
        content: [
          {
            type: "text",
            text: "Hello",
            providerOptions: {
              openai: {
                itemId: "msg_123",
              },
            },
          },
        ],
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, anthropicModel, {}) as any[]

    expect(result[0].content[0].providerOptions?.openai?.itemId).toBe("msg_123")
  })
})

describe("ProviderTransform.message - providerOptions key remapping", () => {
  const createModel = (providerID: string, npm: string) =>
    ({
      id: `${providerID}/test-model`,
      providerID,
      api: {
        id: "test-model",
        url: "https://api.test.com",
        npm,
      },
      name: "Test Model",
      capabilities: {
        temperature: true,
        reasoning: false,
        attachment: true,
        toolcall: true,
        input: { text: true, audio: false, image: true, video: false, pdf: true },
        output: { text: true, audio: false, image: false, video: false, pdf: false },
        interleaved: false,
      },
      cost: { input: 0.001, output: 0.002, cache: { read: 0.0001, write: 0.0002 } },
      limit: { context: 128000, output: 8192 },
      status: "active",
      options: {},
      headers: {},
    }) as any

  test("azure keeps 'azure' key and does not remap to 'openai'", () => {
    const model = createModel("azure", "@ai-sdk/azure")
    const msgs = [
      {
        role: "user",
        content: "Hello",
        providerOptions: {
          azure: { someOption: "value" },
        },
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, model, {})

    expect(result[0].providerOptions?.azure).toEqual({ someOption: "value" })
    expect(result[0].providerOptions?.openai).toBeUndefined()
  })

  test("openai with github-copilot npm remaps providerID to 'openai'", () => {
    const model = createModel("github-copilot", "@ai-sdk/github-copilot")
    const msgs = [
      {
        role: "user",
        content: "Hello",
        providerOptions: {
          "github-copilot": { someOption: "value" },
        },
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, model, {})

    expect(result[0].providerOptions?.openai).toEqual({ someOption: "value" })
    expect(result[0].providerOptions?.["github-copilot"]).toBeUndefined()
  })

  test("bedrock remaps providerID to 'bedrock' key", () => {
    const model = createModel("my-bedrock", "@ai-sdk/amazon-bedrock")
    const msgs = [
      {
        role: "user",
        content: "Hello",
        providerOptions: {
          "my-bedrock": { someOption: "value" },
        },
      },
    ] as any[]

    const result = ProviderTransform.message(msgs, model, {})

    expect(result[0].providerOptions?.bedrock).toEqual({ someOption: "value" })
    expect(result[0].providerOptions?.["my-bedrock"]).toBeUndefined()
  })
})

describe("ProviderTransform.variants", () => {
  const createMockModel = (overrides: Partial<any> = {}): any => ({
    id: "test/test-model",
    providerID: "test",
    api: {
      id: "test-model",
      url: "https://api.test.com",
      npm: "@ai-sdk/openai",
    },
    name: "Test Model",
    capabilities: {
      temperature: true,
      reasoning: true,
      attachment: true,
      toolcall: true,
      input: { text: true, audio: false, image: true, video: false, pdf: false },
      output: { text: true, audio: false, image: false, video: false, pdf: false },
      interleaved: false,
    },
    cost: {
      input: 0.001,
      output: 0.002,
      cache: { read: 0.0001, write: 0.0002 },
    },
    limit: {
      context: 128000,
      output: 8192,
    },
    status: "active",
    options: {},
    headers: {},
    release_date: "2024-01-01",
    ...overrides,
  })

  test("returns empty object when model has no reasoning capabilities", () => {
    const model = createMockModel({
      capabilities: { reasoning: false },
    })
    const result = ProviderTransform.variants(model)
    expect(result).toEqual({})
  })

  test("deepseek returns empty object", () => {
    const model = createMockModel({
      id: "deepseek/deepseek-chat",
      providerID: "deepseek",
      api: {
        id: "deepseek-chat",
        url: "https://api.deepseek.com",
        npm: "@ai-sdk/openai-compatible",
      },
    })
    const result = ProviderTransform.variants(model)
    expect(result).toEqual({})
  })

  test("minimax returns empty object", () => {
    const model = createMockModel({
      id: "minimax/minimax-model",
      providerID: "minimax",
      api: {
        id: "minimax-model",
        url: "https://api.minimax.com",
        npm: "@ai-sdk/openai-compatible",
      },
    })
    const result = ProviderTransform.variants(model)
    expect(result).toEqual({})
  })

  test("glm returns empty object", () => {
    const model = createMockModel({
      id: "glm/glm-4",
      providerID: "glm",
      api: {
        id: "glm-4",
        url: "https://api.glm.com",
        npm: "@ai-sdk/openai-compatible",
      },
    })
    const result = ProviderTransform.variants(model)
    expect(result).toEqual({})
  })

  test("mistral returns empty object", () => {
    const model = createMockModel({
      id: "mistral/mistral-large",
      providerID: "mistral",
      api: {
        id: "mistral-large-latest",
        url: "https://api.mistral.com",
        npm: "@ai-sdk/mistral",
      },
    })
    const result = ProviderTransform.variants(model)
    expect(result).toEqual({})
  })

  describe("@openrouter/ai-sdk-provider", () => {
    test("returns empty object for non-qualifying models", () => {
      const model = createMockModel({
        id: "openrouter/test-model",
        providerID: "openrouter",
        api: {
          id: "test-model",
          url: "https://openrouter.ai",
          npm: "@openrouter/ai-sdk-provider",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })

    test("gpt models return OPENAI_EFFORTS with reasoning", () => {
      const model = createMockModel({
        id: "openrouter/gpt-4",
        providerID: "openrouter",
        api: {
          id: "gpt-4",
          url: "https://openrouter.ai",
          npm: "@openrouter/ai-sdk-provider",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
      expect(result.low).toEqual({ reasoning: { effort: "low" } })
      expect(result.high).toEqual({ reasoning: { effort: "high" } })
    })

    test("gemini-3 returns OPENAI_EFFORTS with reasoning", () => {
      const model = createMockModel({
        id: "openrouter/gemini-3-5-pro",
        providerID: "openrouter",
        api: {
          id: "gemini-3-5-pro",
          url: "https://openrouter.ai",
          npm: "@openrouter/ai-sdk-provider",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
    })

    test("grok-4 returns empty object", () => {
      const model = createMockModel({
        id: "openrouter/grok-4",
        providerID: "openrouter",
        api: {
          id: "grok-4",
          url: "https://openrouter.ai",
          npm: "@openrouter/ai-sdk-provider",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })

    test("grok-3-mini returns low and high with reasoning", () => {
      const model = createMockModel({
        id: "openrouter/grok-3-mini",
        providerID: "openrouter",
        api: {
          id: "grok-3-mini",
          url: "https://openrouter.ai",
          npm: "@openrouter/ai-sdk-provider",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "high"])
      expect(result.low).toEqual({ reasoning: { effort: "low" } })
      expect(result.high).toEqual({ reasoning: { effort: "high" } })
    })
  })

  describe("@ai-sdk/gateway", () => {
    test("returns OPENAI_EFFORTS with reasoningEffort", () => {
      const model = createMockModel({
        id: "gateway/gateway-model",
        providerID: "gateway",
        api: {
          id: "gateway-model",
          url: "https://gateway.ai",
          npm: "@ai-sdk/gateway",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/cerebras", () => {
    test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
      const model = createMockModel({
        id: "cerebras/llama-4",
        providerID: "cerebras",
        api: {
          id: "llama-4-sc",
          url: "https://api.cerebras.ai",
          npm: "@ai-sdk/cerebras",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/togetherai", () => {
    test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
      const model = createMockModel({
        id: "togetherai/llama-4",
        providerID: "togetherai",
        api: {
          id: "llama-4-sc",
          url: "https://api.togetherai.com",
          npm: "@ai-sdk/togetherai",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/xai", () => {
    test("grok-3 returns empty object", () => {
      const model = createMockModel({
        id: "xai/grok-3",
        providerID: "xai",
        api: {
          id: "grok-3",
          url: "https://api.x.ai",
          npm: "@ai-sdk/xai",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })

    test("grok-3-mini returns low and high with reasoningEffort", () => {
      const model = createMockModel({
        id: "xai/grok-3-mini",
        providerID: "xai",
        api: {
          id: "grok-3-mini",
          url: "https://api.x.ai",
          npm: "@ai-sdk/xai",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "high"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/deepinfra", () => {
    test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
      const model = createMockModel({
        id: "deepinfra/llama-4",
        providerID: "deepinfra",
        api: {
          id: "llama-4-sc",
          url: "https://api.deepinfra.com",
          npm: "@ai-sdk/deepinfra",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/openai-compatible", () => {
    test("returns WIDELY_SUPPORTED_EFFORTS with reasoningEffort", () => {
      const model = createMockModel({
        id: "custom-provider/custom-model",
        providerID: "custom-provider",
        api: {
          id: "custom-model",
          url: "https://api.custom.com",
          npm: "@ai-sdk/openai-compatible",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({ reasoningEffort: "low" })
      expect(result.high).toEqual({ reasoningEffort: "high" })
    })
  })

  describe("@ai-sdk/azure", () => {
    test("o1-mini returns empty object", () => {
      const model = createMockModel({
        id: "o1-mini",
        providerID: "azure",
        api: {
          id: "o1-mini",
          url: "https://azure.com",
          npm: "@ai-sdk/azure",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })

    test("standard azure models return custom efforts with reasoningSummary", () => {
      const model = createMockModel({
        id: "o1",
        providerID: "azure",
        api: {
          id: "o1",
          url: "https://azure.com",
          npm: "@ai-sdk/azure",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({
        reasoningEffort: "low",
        reasoningSummary: "auto",
        include: ["reasoning.encrypted_content"],
      })
    })

    test("gpt-5 adds minimal effort", () => {
      const model = createMockModel({
        id: "gpt-5",
        providerID: "azure",
        api: {
          id: "gpt-5",
          url: "https://azure.com",
          npm: "@ai-sdk/azure",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["minimal", "low", "medium", "high"])
    })
  })

  describe("@ai-sdk/openai", () => {
    test("gpt-5-pro returns empty object", () => {
      const model = createMockModel({
        id: "gpt-5-pro",
        providerID: "openai",
        api: {
          id: "gpt-5-pro",
          url: "https://api.openai.com",
          npm: "@ai-sdk/openai",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })

    test("standard openai models return custom efforts with reasoningSummary", () => {
      const model = createMockModel({
        id: "gpt-5",
        providerID: "openai",
        api: {
          id: "gpt-5",
          url: "https://api.openai.com",
          npm: "@ai-sdk/openai",
        },
        release_date: "2024-06-01",
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["minimal", "low", "medium", "high"])
      expect(result.low).toEqual({
        reasoningEffort: "low",
        reasoningSummary: "auto",
        include: ["reasoning.encrypted_content"],
      })
    })

    test("models after 2025-11-13 include 'none' effort", () => {
      const model = createMockModel({
        id: "gpt-5-nano",
        providerID: "openai",
        api: {
          id: "gpt-5-nano",
          url: "https://api.openai.com",
          npm: "@ai-sdk/openai",
        },
        release_date: "2025-11-14",
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high"])
    })

    test("models after 2025-12-04 include 'xhigh' effort", () => {
      const model = createMockModel({
        id: "openai/gpt-5-chat",
        providerID: "openai",
        api: {
          id: "gpt-5-chat",
          url: "https://api.openai.com",
          npm: "@ai-sdk/openai",
        },
        release_date: "2025-12-05",
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "minimal", "low", "medium", "high", "xhigh"])
    })
  })

  describe("@ai-sdk/anthropic", () => {
    test("returns high and max with thinking config", () => {
      const model = createMockModel({
        id: "anthropic/claude-4",
        providerID: "anthropic",
        api: {
          id: "claude-4",
          url: "https://api.anthropic.com",
          npm: "@ai-sdk/anthropic",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["high", "max"])
      expect(result.high).toEqual({
        thinking: {
          type: "enabled",
          budgetTokens: 16000,
        },
      })
      expect(result.max).toEqual({
        thinking: {
          type: "enabled",
          budgetTokens: 31999,
        },
      })
    })
  })

  describe("@ai-sdk/amazon-bedrock", () => {
    test("returns WIDELY_SUPPORTED_EFFORTS with reasoningConfig", () => {
      const model = createMockModel({
        id: "bedrock/llama-4",
        providerID: "bedrock",
        api: {
          id: "llama-4-sc",
          url: "https://bedrock.amazonaws.com",
          npm: "@ai-sdk/amazon-bedrock",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "medium", "high"])
      expect(result.low).toEqual({
        reasoningConfig: {
          type: "enabled",
          maxReasoningEffort: "low",
        },
      })
    })
  })

  describe("@ai-sdk/google", () => {
    test("gemini-2.5 returns high and max with thinkingConfig and thinkingBudget", () => {
      const model = createMockModel({
        id: "google/gemini-2.5-pro",
        providerID: "google",
        api: {
          id: "gemini-2.5-pro",
          url: "https://generativelanguage.googleapis.com",
          npm: "@ai-sdk/google",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["high", "max"])
      expect(result.high).toEqual({
        thinkingConfig: {
          includeThoughts: true,
          thinkingBudget: 16000,
        },
      })
      expect(result.max).toEqual({
        thinkingConfig: {
          includeThoughts: true,
          thinkingBudget: 24576,
        },
      })
    })

    test("other gemini models return low and high with thinkingLevel", () => {
      const model = createMockModel({
        id: "google/gemini-2.0-pro",
        providerID: "google",
        api: {
          id: "gemini-2.0-pro",
          url: "https://generativelanguage.googleapis.com",
          npm: "@ai-sdk/google",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "high"])
      expect(result.low).toEqual({
        includeThoughts: true,
        thinkingLevel: "low",
      })
      expect(result.high).toEqual({
        includeThoughts: true,
        thinkingLevel: "high",
      })
    })
  })

  describe("@ai-sdk/google-vertex", () => {
    test("gemini-2.5 returns high and max with thinkingConfig and thinkingBudget", () => {
      const model = createMockModel({
        id: "google-vertex/gemini-2.5-pro",
        providerID: "google-vertex",
        api: {
          id: "gemini-2.5-pro",
          url: "https://vertexai.googleapis.com",
          npm: "@ai-sdk/google-vertex",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["high", "max"])
    })

    test("other vertex models return low and high with thinkingLevel", () => {
      const model = createMockModel({
        id: "google-vertex/gemini-2.0-pro",
        providerID: "google-vertex",
        api: {
          id: "gemini-2.0-pro",
          url: "https://vertexai.googleapis.com",
          npm: "@ai-sdk/google-vertex",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["low", "high"])
    })
  })

  describe("@ai-sdk/cohere", () => {
    test("returns empty object", () => {
      const model = createMockModel({
        id: "cohere/command-r",
        providerID: "cohere",
        api: {
          id: "command-r",
          url: "https://api.cohere.com",
          npm: "@ai-sdk/cohere",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })
  })

  describe("@ai-sdk/groq", () => {
    test("returns none and WIDELY_SUPPORTED_EFFORTS with thinkingLevel", () => {
      const model = createMockModel({
        id: "groq/llama-4",
        providerID: "groq",
        api: {
          id: "llama-4-sc",
          url: "https://api.groq.com",
          npm: "@ai-sdk/groq",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(Object.keys(result)).toEqual(["none", "low", "medium", "high"])
      expect(result.none).toEqual({
        includeThoughts: true,
        thinkingLevel: "none",
      })
      expect(result.low).toEqual({
        includeThoughts: true,
        thinkingLevel: "low",
      })
    })
  })

  describe("@ai-sdk/perplexity", () => {
    test("returns empty object", () => {
      const model = createMockModel({
        id: "perplexity/sonar-plus",
        providerID: "perplexity",
        api: {
          id: "sonar-plus",
          url: "https://api.perplexity.ai",
          npm: "@ai-sdk/perplexity",
        },
      })
      const result = ProviderTransform.variants(model)
      expect(result).toEqual({})
    })
  })
})
