fix(agents): ensure proper messaging and tool serialization (#568)

In an investigation into somewhat random duplicate message issues, we
uncovered a few small issues that this PR cleans up:
- don't repeat the user prompt
- use proper JSON serialization of tools
- catch improper JSON serialization coming back from OpenAI.

Co-authored-by: Douglas Reid <doug@steamship.com>

Author: douglas-reid

src/steamship/agents/functional/functions_based.py

@@ -55,7 +55,7 @@ def build_chat_history_for_tool(self, context: AgentContext) -> List[Block]:
         messages_from_memory.extend(context.chat_history.select_messages(self.message_selector))
 
         # de-dupe the messages from memory
-        ids = []
+        ids = [context.chat_history.last_user_message.id]
         for msg in messages_from_memory:
             if msg.id not in ids:
                 messages.append(msg)

src/steamship/agents/functional/output_parser.py

@@ -1,6 +1,7 @@
 import json
 import re
 import string
+from json import JSONDecodeError
 from typing import Dict, List, Optional
 
 from steamship import Block, MimeTypes, Steamship
@@ -102,7 +103,11 @@ def _remove_block_suffix(candidate: str) -> str:
 
     def parse(self, text: str, context: AgentContext) -> Action:
         if "function_call" in text:
-            return self._extract_action_from_function_call(text, context)
+            try:
+                # catch invalid JSON. If it is not valid JSON, just treat as "regular" message
+                return self._extract_action_from_function_call(text, context)
+            except JSONDecodeError:
+                pass
 
         finish_blocks = FunctionsBasedOutputParser._blocks_from_text(context.client, text)
         for finish_block in finish_blocks:

src/steamship/agents/llms/openai.py

@@ -95,7 +95,7 @@ def chat(self, messages: List[Block], tools: Optional[List[Tool]], **kwargs) ->
         if len(tools) > 0:
             functions = []
             for tool in tools:
-                functions.append(tool.as_openai_function())
+                functions.append(tool.as_openai_function().dict())
             options["functions"] = functions
 
         if "max_tokens" in kwargs:

src/steamship/agents/schema/tool.py

@@ -78,7 +78,7 @@ def as_openai_function(self) -> OpenAIFunction:
         uuid_property_schema = FunctionProperty(
             type=JSONType.string,
             description="UUID for a Steamship Block. Used to refer to a non-textual input generated by another "
-            'function. Example: "c2f6818c-233d-4426-9dc5-f3c28fa33068"',
+            "function. Example: c2f6818c-233d-4426-9dc5-f3c28fa33068",
         )
 
         params = FunctionParameters(