feat(provider): add EBCloud provider

providers/ebcloud/models/DeepSeek-V4-Flash.toml

@@ -0,0 +1,25 @@
+name = "DeepSeek-V4-Flash"
+description = "An efficient and fast version of DeepSeek, which is designed to solve low-latency and high throughtput issues."
+attachment = false      
+reasoning = true
+reasoning_options = [ { type = "effort", values = ["default"]} ]
+tool_call = true         
+structured_output = true 
+temperature = false      
+release_date = "2025-02-19" 
+last_updated = "2025-02-19"
+open_weights = true      
+
+[cost]
+input =  0.143
+output = 0.2858  
+reasoning = 0.00
+
+[limit]
+context = 128_000 # 最大上下文窗口，DeepSeek-V4 通常是 128k
+input = 128_000   
+output = 8_192    # 最大输出 token 限制
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/ebcloud/models/DeepSeek-V4-Pro.toml

@@ -0,0 +1,25 @@
+name = "DeepSeek-V4-Pro"
+description = "An efficient and fast version of DeepSeek, which is designed to solve low-latency and high throughtput issues."
+attachment = false      
+reasoning = true
+reasoning_options = [ { type = "effort", values = ["default"]} ]
+tool_call = true         
+structured_output = true 
+temperature = false      
+release_date = "2025-02-19" 
+last_updated = "2025-02-19"
+open_weights = true      
+
+[cost]
+input =  0.4289
+output = 0.8571 
+reasoning = 0.00
+
+[limit]
+context = 128_000 # 最大上下文窗口，DeepSeek-V4 通常是 128k
+input = 128_000   
+output = 8_192    # 最大输出 token 限制
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/ebcloud/models/GLM-5.1.toml

@@ -0,0 +1,25 @@
+name = "GLM-5.1"
+description = "Strong GLM coding model for agentic engineering, terminals, and repository generation"
+attachment = false      
+reasoning = true
+reasoning_options = [ { type = "effort", values = ["default"]} ]
+tool_call = true         
+structured_output = true 
+temperature = false      
+release_date = "2025-02-19" 
+last_updated = "2025-02-19"
+open_weights = true      
+
+[cost]
+input =  0.143
+output = 0.2858  
+reasoning = 0.00
+
+[limit]
+context = 128_000 # 最大上下文窗口，DeepSeek-V4 通常是 128k
+input = 128_000   
+output = 8_192    # 最大输出 token 限制
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/ebcloud/models/Kimi-K2.6.toml

@@ -0,0 +1,25 @@
+name = "Kimi-K2.6"
+description = "Multimodal Kimi workhorse for agent loops, coding tasks, and visual context"
+attachment = false      
+reasoning = true
+reasoning_options = [ { type = "effort", values = ["default"]} ]
+tool_call = true         
+structured_output = true 
+temperature = false      
+release_date = "2025-02-19" 
+last_updated = "2025-02-19"
+open_weights = true      
+
+[cost]
+input =  0.143
+output = 0.2858  
+reasoning = 0.00
+
+[limit]
+context = 128_000 # 最大上下文窗口，DeepSeek-V4 通常是 128k
+input = 128_000   
+output = 8_192    # 最大输出 token 限制
+
+[modalities]
+input = ["text"]
+output = ["text"]

providers/ebcloud/provider.toml

@@ -0,0 +1,5 @@
+name = "EBCloud"
+npm = "@ai-sdk/openai-compatible" 
+api = "https://maas-api.ebcloud.com/v1"
+env = ["EBCLOUD_API_KEY"] 
+doc = "https://docs.ebtech.com/ai/model-api.html"