update parameters and remove agent-thought from titan LLMs

api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-express-v1.yaml

@@ -2,8 +2,6 @@ model: amazon.titan-text-express-v1
 label:
   en_US: Titan Text G1 - Express
 model_type: llm
-features:
-  - agent-thought
 model_properties:
   mode: chat
   context_size: 8192

api/core/model_runtime/model_providers/bedrock/llm/amazon.titan-text-lite-v1.yaml

@@ -2,8 +2,6 @@ model: amazon.titan-text-lite-v1
 label:
   en_US: Titan Text G1 - Lite
 model_type: llm
-features:
-  - agent-thought
 model_properties:
   mode: chat
   context_size: 4096

api/core/model_runtime/model_providers/bedrock/llm/anthropic.claude-v1.yaml

@@ -50,3 +50,4 @@ pricing:
   output: '0.024'
   unit: '0.001'
   currency: USD
+deprecated: true

api/core/model_runtime/model_providers/bedrock/llm/cohere.command-light-text-v14.yaml

@@ -22,7 +22,7 @@ parameter_rules:
     min: 0
     max: 500
     default: 0
-  - name: max_tokens_to_sample
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/bedrock/llm/cohere.command-text-v14.yaml

@@ -8,9 +8,9 @@ model_properties:
 parameter_rules:
   - name: temperature
     use_template: temperature
-  - name: top_p
+  - name: p
     use_template: top_p
-  - name: top_k
+  - name: k
     label:
       zh_Hans: 取样数量
       en_US: Top k
@@ -19,7 +19,7 @@ parameter_rules:
       zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
       en_US: Only sample from the top K options for each subsequent token.
     required: false
-  - name: max_tokens_to_sample
+  - name: max_tokens
     use_template: max_tokens
     required: true
     default: 4096

api/core/model_runtime/model_providers/bedrock/llm/llm.py

@@ -503,7 +503,7 @@ class BedrockLargeLanguageModel(LargeLanguageModel):
 
         if model_prefix == "amazon":
             payload["textGenerationConfig"] = { **model_parameters }
-            payload["textGenerationConfig"]["stopSequences"] = ["User:"] + (stop if stop else [])
+            payload["textGenerationConfig"]["stopSequences"] = ["User:"]
             
             payload["inputText"] = self._convert_messages_to_prompt(prompt_messages, model_prefix)
         
@@ -513,10 +513,6 @@ class BedrockLargeLanguageModel(LargeLanguageModel):
             payload["maxTokens"] = model_parameters.get("maxTokens")
             payload["prompt"] = self._convert_messages_to_prompt(prompt_messages, model_prefix)
 
-            # jurassic models only support a single stop sequence
-            if stop:
-                payload["stopSequences"] = stop[0]
-
             if model_parameters.get("presencePenalty"):
                 payload["presencePenalty"] = {model_parameters.get("presencePenalty")}
             if model_parameters.get("frequencyPenalty"):