[editor] PaLMChatParserPromptSchema

# [editor] PaLMChatParserPromptSchema

Implement the Prompt Schema for PaLM Chat, using the supported params with defaults from https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text-chat, selecting those that are defined in the `refine_chat_completion_params` of palm.py:
```
def refine_chat_completion_params(model_settings):
    # completion parameters to be used for Palm's chat completion api
    # messages handled seperately
    supported_keys = {
        "candidate_count",
        "examples",
        "model",
        "temperature",
        "top_k",
        "top_p",
        "context",
    }
 ```

<img width="1853" alt="Screenshot 2024-01-04 at 1 59 24 PM" src="https://github.com/lastmile-ai/aiconfig/assets/5060851/50e08b43-2956-4fa0-98e4-4ab165efb6a9">

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

@@ -38,7 +38,7 @@ export const OpenAIChatModelParserPromptSchema: PromptSchema = {
         items: {
           type: "object",
           required: ["name", "parameters"],
-          parameters: {
+          properties: {
             name: {
               type: "string",
             },

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

@@ -0,0 +1,61 @@
+import { PromptSchema } from "../../utils/promptUtils";
+
+export const PaLMChatParserPromptSchema: PromptSchema = {
+  // See https://cloud.google.com/vertex-ai/docs/generative-ai/model-reference/text-chat for settings
+  // and defaults. The settings below are supported settings specified in the PaLMChatParser
+  // refine_chat_completion_params implementation.
+  input: {
+    type: "string",
+  },
+  model_settings: {
+    type: "object",
+    properties: {
+      context: {
+        type: "string",
+      },
+      candidate_count: {
+        type: "integer",
+        minimum: 1,
+        maximum: 4,
+      },
+      temperature: {
+        type: "number",
+        minimum: 0,
+        maximum: 1,
+      },
+      top_p: {
+        type: "number",
+        minimum: 0,
+        maximum: 1,
+      },
+      top_k: {
+        type: "integer",
+        minimum: 1,
+        maximum: 40,
+      },
+      examples: {
+        type: "array",
+        items: {
+          type: "object",
+          required: ["input", "output"],
+          properties: {
+            input: {
+              type: "string",
+            },
+            output: {
+              type: "string",
+            },
+          },
+        },
+      },
+    },
+  },
+  prompt_metadata: {
+    type: "object",
+    properties: {
+      remember_chat_context: {
+        type: "boolean",
+      },
+    },
+  },
+};

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

@@ -3,6 +3,7 @@ import { OpenAIChatModelParserPromptSchema } from "../shared/prompt_schemas/Open
 import { OpenAIChatVisionModelParserPromptSchema } from "../shared/prompt_schemas/OpenAIChatVisionModelParserPromptSchema";
 import { DalleImageGenerationParserPromptSchema } from "../shared/prompt_schemas/DalleImageGenerationParserPromptSchema";
 import { PaLMTextParserPromptSchema } from "../shared/prompt_schemas/PaLMTextParserPromptSchema";
+import { PaLMChatParserPromptSchema } from "../shared/prompt_schemas/PaLMChatParserPromptSchema";
 
 /**
  * Get the name of the model for the specified prompt. The name will either be specified in the prompt's
@@ -73,7 +74,7 @@ export const PROMPT_SCHEMAS: Record<string, PromptSchema> = {
   "models/text-bison-001": PaLMTextParserPromptSchema,
 
   // PaLMChatParser
-  // "models/chat-bison-001":
+  "models/chat-bison-001": PaLMChatParserPromptSchema,
 };
 
 export type PromptInputSchema =