Add Bedrock adaptive thinking support for Claude Opus 4.7

README.md

@@ -1751,7 +1751,7 @@ PROXY_URL=http://your-proxy:8080
 
 #### Supported Models
 
-PentAGI supports 21 AWS Bedrock models with tool calling, streaming, and multimodal capabilities. Models marked with `*` are used in default configuration.
+PentAGI supports 22 AWS Bedrock models with tool calling, streaming, and multimodal capabilities. Models marked with `*` are used in default configuration.
 
 | Model ID                                         | Provider        | Thinking | Multimodal | Price (Input/Output) | Use Case                                |
 | ------------------------------------------------ | --------------- | -------- | ---------- | -------------------- | --------------------------------------- |
@@ -1760,6 +1760,7 @@ PentAGI supports 21 AWS Bedrock models with tool calling, streaming, and multimo
 | `us.amazon.nova-pro-v1:0`                        | Amazon Nova     | ❌        | ✅          | $0.80/$3.20          | Balanced accuracy, speed, cost          |
 | `us.amazon.nova-lite-v1:0`                       | Amazon Nova     | ❌        | ✅          | $0.06/$0.24          | Fast processing, high-volume operations |
 | `us.amazon.nova-micro-v1:0`                      | Amazon Nova     | ❌        | ❌          | $0.035/$0.14         | Ultra-low latency, real-time monitoring |
+| `us.anthropic.claude-opus-4-7`                   | Anthropic       | ✅        | ✅          | $5.00/$25.00         | Latest Opus with adaptive thinking      |
 | `us.anthropic.claude-opus-4-6-v1`*               | Anthropic       | ✅        | ✅          | $5.00/$25.00         | World-class coding, enterprise agents   |
 | `us.anthropic.claude-sonnet-4-6`                 | Anthropic       | ✅        | ✅          | $3.00/$15.00         | Frontier intelligence, enterprise scale |
 | `us.anthropic.claude-opus-4-5-20251101-v1:0`     | Anthropic       | ✅        | ✅          | $5.00/$25.00         | Multi-day software development          |
@@ -1780,6 +1781,8 @@ PentAGI supports 21 AWS Bedrock models with tool calling, streaming, and multimo
 
 **Prices**: Per 1M tokens. Models with thinking/reasoning support additional compute costs during reasoning phase.
 
+**Reasoning Modes**: Claude Opus 4.7 on Bedrock requires Adaptive mode, and Claude Opus/Sonnet 4.6+ support it. In provider settings, select `Reasoning Mode: Adaptive` and use `Reasoning Effort` to send Bedrock `output_config.effort` instead of a fixed thinking token budget.
+
 #### Tested but Incompatible Models
 
 Some AWS Bedrock models were tested but are **not supported** due to technical limitations:

backend/pkg/database/converter/converter.go

@@ -613,9 +613,13 @@ func ConvertAgentConfigToGqlModel(ac *pconfig.AgentConfig) *model.AgentConfig {
 		result.PresencePenalty = &ac.PresencePenalty
 	}
 
-	if ac.Reasoning.Effort != llms.ReasoningNone || ac.Reasoning.MaxTokens != 0 {
+	if !ac.Reasoning.IsZero() {
 		reasoning := &model.ReasoningConfig{}
 
+		if ac.Reasoning.Mode != pconfig.ReasoningModeDefault {
+			mode := model.ReasoningMode(ac.Reasoning.Mode)
+			reasoning.Mode = &mode
+		}
 		if ac.Reasoning.Effort != llms.ReasoningNone {
 			effort := model.ReasoningEffort(ac.Reasoning.Effort)
 			reasoning.Effort = &effort
@@ -708,6 +712,9 @@ func ConvertAgentConfigFromGqlModel(ac *model.AgentConfig) *pconfig.AgentConfig
 
 	if ac.Reasoning != nil {
 		reasoning := map[string]any{}
+		if ac.Reasoning.Mode != nil {
+			reasoning["mode"] = pconfig.ReasoningMode(*ac.Reasoning.Mode)
+		}
 		if ac.Reasoning.Effort != nil {
 			reasoning["effort"] = llms.ReasoningEffort(*ac.Reasoning.Effort)
 		}

backend/pkg/graph/schema.graphqls

@@ -23,13 +23,21 @@ enum ProviderType {
   qwen
 }
 
-# Reasoning effort levels for advanced AI models (OpenAI format)
+# Reasoning effort levels for advanced AI models
 enum ReasoningEffort {
+  xhigh
+  max
   high
   medium
   low
 }
 
+# Reasoning control mode for provider-specific thinking APIs
+enum ReasoningMode {
+  adaptive
+  budget
+}
+
 # Template types for AI agent prompts and system operations
 enum PromptType {
   primary_agent
@@ -699,6 +707,7 @@ type ProviderConfig {
 
 # AI model reasoning configuration
 type ReasoningConfig {
+  mode: ReasoningMode
   effort: ReasoningEffort
   maxTokens: Int
 }
@@ -748,6 +757,7 @@ type AgentsConfig {
 
 # Input type for ReasoningConfig
 input ReasoningConfigInput {
+  mode: ReasoningMode
   effort: ReasoningEffort
   maxTokens: Int
 }