feat: Add GLM-5 model support to Fireworks provider

"accounts/fireworks/models/glm-5" to FireworksModelId type union
- Add GLM-5 model configuration with 202k context window, reasoning support, and appropriate pricing
- Add test case to verify GLM-5 model configuration is correctly returned

Resolves #11830

packages/types/src/providers/fireworks.ts

@@ -17,6 +17,7 @@ export type FireworksModelId =
 	| "accounts/fireworks/models/glm-4p5-air"
 	| "accounts/fireworks/models/glm-4p6"
 	| "accounts/fireworks/models/glm-4p7"
+	| "accounts/fireworks/models/glm-5"
 	| "accounts/fireworks/models/gpt-oss-20b"
 	| "accounts/fireworks/models/gpt-oss-120b"
 	| "accounts/fireworks/models/llama-v3p3-70b-instruct"
@@ -210,6 +211,19 @@ export const fireworksModels = {
 		description:
 			"Z.ai GLM-4.7 is the latest coding model with exceptional performance on complex programming tasks. Features improved reasoning capabilities and enhanced code generation quality.",
 	},
+	"accounts/fireworks/models/glm-5": {
+		maxTokens: 16384,
+		contextWindow: 202752,
+		supportsImages: false,
+		supportsPromptCache: true,
+		supportsReasoningEffort: ["disable", "medium"],
+		reasoningEffort: "medium",
+		preserveReasoning: true,
+		inputPrice: 0.55,
+		outputPrice: 2.19,
+		description:
+			"Z.ai GLM-5 is Zhipu's next-generation model with a 202k context window and built-in thinking capabilities. It delivers state-of-the-art reasoning, coding, and agentic performance.",
+	},
 	"accounts/fireworks/models/llama-v3p3-70b-instruct": {
 		maxTokens: 16384,
 		contextWindow: 131072,

src/api/providers/__tests__/fireworks.spec.ts

@@ -308,6 +308,30 @@ describe("FireworksHandler", () => {
 		)
 	})
 
+	it("should return GLM-5 model with correct configuration", () => {
+		const testModelId: FireworksModelId = "accounts/fireworks/models/glm-5"
+		const handlerWithModel = new FireworksHandler({
+			apiModelId: testModelId,
+			fireworksApiKey: "test-fireworks-api-key",
+		})
+		const model = handlerWithModel.getModel()
+		expect(model.id).toBe(testModelId)
+		expect(model.info).toEqual(
+			expect.objectContaining({
+				maxTokens: 16384,
+				contextWindow: 202752,
+				supportsImages: false,
+				supportsPromptCache: true,
+				supportsReasoningEffort: ["disable", "medium"],
+				reasoningEffort: "medium",
+				preserveReasoning: true,
+				inputPrice: 0.55,
+				outputPrice: 2.19,
+				description: expect.stringContaining("Z.ai GLM-5 is Zhipu's next-generation model"),
+			}),
+		)
+	})
+
 	it("should return gpt-oss-20b model with correct configuration", () => {
 		const testModelId: FireworksModelId = "accounts/fireworks/models/gpt-oss-20b"
 		const handlerWithModel = new FireworksHandler({
@@ -587,6 +611,78 @@ describe("FireworksHandler", () => {
 			chunks.push(chunk)
 		}
 
+		expect(chunks[0]).toEqual({ type: "text", text: "Hello" })
+		expect(chunks[1]).toEqual({ type: "text", text: " world" })
+		expect(chunks[2]).toMatchObject({ type: "usage", inputTokens: 5, outputTokens: 10 })
+	})
+})
+					],
+					usage: {
+						prompt_tokens: 5,
+						completion_tokens: 10,
+						total_tokens: 15,
+					},
+				}
+			},
+		}))
+
+		const systemPrompt = "You are a helpful assistant."
+		const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hi" }]
+
+		const stream = handler.createMessage(systemPrompt, messages)
+		const chunks = []
+		for await (const chunk of stream) {
+			chunks.push(chunk)
+		}
+
+		expect(chunks[0]).toEqual({ type: "text", text: "Hello" })
+		expect(chunks[1]).toEqual({ type: "text", text: " world" })
+		expect(chunks[2]).toMatchObject({ type: "usage", inputTokens: 5, outputTokens: 10 })
+	})
+})
+					],
+					usage: {
+						prompt_tokens: 5,
+						completion_tokens: 10,
+						total_tokens: 15,
+					},
+				}
+			},
+		}))
+
+		const systemPrompt = "You are a helpful assistant."
+		const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hi" }]
+
+		const stream = handler.createMessage(systemPrompt, messages)
+		const chunks = []
+		for await (const chunk of stream) {
+			chunks.push(chunk)
+		}
+
+		expect(chunks[0]).toEqual({ type: "text", text: "Hello" })
+		expect(chunks[1]).toEqual({ type: "text", text: " world" })
+		expect(chunks[2]).toMatchObject({ type: "usage", inputTokens: 5, outputTokens: 10 })
+	})
+})
+					],
+					usage: {
+						prompt_tokens: 5,
+						completion_tokens: 10,
+						total_tokens: 15,
+					},
+				}
+			},
+		}))
+
+		const systemPrompt = "You are a helpful assistant."
+		const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hi" }]
+
+		const stream = handler.createMessage(systemPrompt, messages)
+		const chunks = []
+		for await (const chunk of stream) {
+			chunks.push(chunk)
+		}
+
 		expect(chunks[0]).toEqual({ type: "text", text: "Hello" })
 		expect(chunks[1]).toEqual({ type: "text", text: " world" })
 		expect(chunks[2]).toMatchObject({ type: "usage", inputTokens: 5, outputTokens: 10 })