move app to app/ subdir

app/src/modelProviders/anthropic-completion/codegen/input.schema.json

@@ -0,0 +1,63 @@
+{
+  "type": "object",
+  "properties": {
+    "model": {
+      "description": "The model that will complete your prompt.",
+      "x-oaiTypeLabel": "string",
+      "type": "string",
+      "enum": [
+        "claude-2",
+        "claude-2.0",
+        "claude-instant-1",
+        "claude-instant-1.1"
+      ]
+    },
+    "prompt": {
+      "description": "The prompt that you want Claude to complete.\n\nFor proper response generation you will need to format your prompt as follows:\n\"\\n\\nHuman: all instructions for the assistant\\n\\nAssistant:\". The prompt string should begin with the characters \"Human:\" and end with \"Assistant:\".",
+      "default": "<|endoftext|>",
+      "example": "\\n\\nHuman: What is the correct translation of ${scenario.input}? I would like a long analysis followed by a short answer.\\n\\nAssistant:",
+      "type": "string"
+    },
+    "max_tokens_to_sample": {
+      "type": "integer",
+      "minimum": 1,
+      "default": 256,
+      "nullable": true,
+      "description": "The maximum number of tokens to generate before stopping."
+    },
+    "temperature": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1,
+      "nullable": true,
+      "description": "Amount of randomness injected into the response.\n\nDefaults to 1."
+    },
+    "top_p": {
+      "type": "number",
+      "minimum": 0,
+      "maximum": 1,
+      "nullable": true,
+      "description": "Use nucleus sampling.\n\nYou should either alter temperature or top_p, but not both.\n"
+    },
+    "top_k": {
+      "type": "number",
+      "minimum": 0,
+      "default": 5,
+      "nullable": true,
+      "description": "Only sample from the top K options for each subsequent token."
+    },
+    "stream": {
+      "description": "Whether to incrementally stream the response using server-sent events.",
+      "type": "boolean",
+      "nullable": true,
+      "default": false
+    },
+    "stop_sequences": {
+      "description": "Sequences that will cause the model to stop generating completion text.\nBy default, our models stop on \"\\n\\nHuman:\".",
+      "default": null,
+      "nullable": true,
+      "type": "array"
+    }
+  },
+  "required": ["model", "prompt", "max_tokens_to_sample"]
+}