[editor] Claude Bedrock Prompt Schema

## Testplan

https://github.com/lastmile-ai/aiconfig/assets/141073967/29c1faa7-7d13-412f-8606-9ad556eb1c52

python/src/aiconfig/editor/client/src/shared/prompt_schemas/ClaudeBedrockPromptSchema.ts

@@ -0,0 +1,71 @@
+import { PromptSchema } from "../../utils/promptUtils";
+
+export const ClaudeBedrockPromptSchema: PromptSchema = {
+  // See https://docs.anthropic.com/claude/reference/complete_post
+  // for settings and defaults. The settings below are supported settings specified in the ClaudeBedrockModelParser
+  // refine_chat_completion_params implementation.
+  input: {
+    type: "string",
+  },
+  model_settings: {
+    type: "object",
+    properties: {
+      model: {
+        type: "string",
+      },
+      max_tokens_to_sample: {
+        type: "number",
+        description: `The maximum number of tokens to generate before stopping.
+        Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.`,
+      },
+      stop_sequences: {
+        type: "array",
+        items: {
+          type: "string",
+        },
+        description: `Sequences that will cause the model to stop generating.`,
+      },
+      stream: {
+        type: "boolean",
+        default: true,
+        description: `If true, send messages token by token. If false, messages send in bulk.`,
+      },
+      temperature: {
+        type: "number",
+        minimum: 0.0,
+        maximum: 1.0,
+        description: `Amount of randomness injected into the response.`,
+      },
+      top_p: {
+        type: "number",
+        minimum: 0.0,
+        maximum: 1.0,
+        description: `In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by top_p. 
+        You should either alter temperature or top_p, but not both.`,
+      },
+      top_k: {
+        type: "number",
+        description: `Only sample from the top K options for each subsequent token.
+        Used to remove "long tail" low probability responses.`,
+      },
+      metadata: {
+        type: "object",
+        properties: {
+          user_id: {
+            type: "string",
+          },
+        }, 
+        description: `An object describing metadata about the request. (Claude specific)`,
+      }
+    },
+    required: ["model", "max_tokens_to_sample", "stop_sequences"],
+  },
+  prompt_metadata: {
+    type: "object",
+    properties: {
+      remember_chat_context: {
+        type: "boolean",
+      },
+    },
+  },
+};

python/src/aiconfig/editor/client/src/utils/promptUtils.ts

@@ -18,6 +18,7 @@ import { HuggingFaceTextGenerationRemoteInferencePromptSchema } from "../shared/
 import { HuggingFaceTextSummarizationRemoteInferencePromptSchema } from "../shared/prompt_schemas/HuggingFaceTextSummarizationRemoteInferencePromptSchema";
 import { HuggingFaceTextTranslationRemoteInferencePromptSchema } from "../shared/prompt_schemas/HuggingFaceTextTranslationRemoteInferencePromptSchema";
 import { HuggingFaceImage2TextRemoteInferencePromptSchema } from "../shared/prompt_schemas/HuggingFaceImage2TextRemoteInferencePromptSchema";
+import { ClaudeBedrockPromptSchema } from "../shared/prompt_schemas/ClaudeBedrockPromptSchema";
 
 /**
  * Get the name of the model for the specified prompt. The name will either be specified in the prompt's
@@ -81,6 +82,8 @@ export const PROMPT_SCHEMAS: Record<string, PromptSchema> = {
   "dall-e-2": DalleImageGenerationParserPromptSchema,
   "dall-e-3": DalleImageGenerationParserPromptSchema,
 
+  "ClaudeBedrockModelParser": ClaudeBedrockPromptSchema,
+
   HuggingFaceImage2TextRemoteInference:
     HuggingFaceImage2TextRemoteInferencePromptSchema,