diff --git a/core/cat/agents/procedures_agent.py b/core/cat/agents/procedures_agent.py
index 99726bc5f..588899d18 100644
--- a/core/cat/agents/procedures_agent.py
+++ b/core/cat/agents/procedures_agent.py
@@ -204,7 +204,7 @@ def generate_examples(self, allowed_procedures):
                 example_json = f"""
 {{
     "action": "{proc.name}",
-    "action_input": // Input of the action according to its description
+    "action_input": "...input here..."
 }}"""
                 list_examples += f"\nQuestion: {random.choice(proc.start_examples)}"
                 list_examples += f"\n```json\n{example_json}\n```"
diff --git a/core/cat/experimental/form/cat_form.py b/core/cat/experimental/form/cat_form.py
index 8904c1aeb..8c13061ef 100644
--- a/core/cat/experimental/form/cat_form.py
+++ b/core/cat/experimental/form/cat_form.py
@@ -3,9 +3,6 @@
 from typing import List, Dict
 from pydantic import BaseModel, ValidationError
 
-from langchain.chains import LLMChain
-from langchain_core.prompts.prompt import PromptTemplate
-
 from cat.utils import parse_json
 from cat.log import log
 
@@ -203,14 +200,7 @@ def extract(self):
         prompt = self.extraction_prompt()
         log.debug(prompt)
 
-        # Invoke LLM chain
-        extraction_chain = LLMChain(
-            prompt=PromptTemplate.from_template(prompt),
-            llm=self._cat._llm,
-            verbose=True,
-            output_key="output",
-        )
-        json_str = extraction_chain.invoke({})["output"]  # {"stop": ["```"]}
+        json_str = self.cat.llm(prompt)
 
         log.debug(f"Form JSON after parser:\n{json_str}")
 
diff --git a/core/cat/looking_glass/prompts.py b/core/cat/looking_glass/prompts.py
index 6e95d2f3d..e8ed510b2 100644
--- a/core/cat/looking_glass/prompts.py
+++ b/core/cat/looking_glass/prompts.py
@@ -9,7 +9,7 @@
 ```json
 {{
     "action": // str - The name of the action to take, should be one of [{tool_names}, "no_action"]
-    "action_input": // str or null - The input to the action according to it's description
+    "action_input": // str or null - The input to the action according to its description
 }}
 ```
 
diff --git a/core/cat/looking_glass/stray_cat.py b/core/cat/looking_glass/stray_cat.py
index d69013d59..0a21a2514 100644
--- a/core/cat/looking_glass/stray_cat.py
+++ b/core/cat/looking_glass/stray_cat.py
@@ -8,6 +8,9 @@
 from langchain_core.language_models.chat_models import BaseChatModel
 from langchain_community.llms import BaseLLM
 from langchain_core.messages import AIMessage, HumanMessage, BaseMessage
+from langchain_core.runnables import RunnableConfig, RunnableLambda
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers.string import StrOutputParser
 
 from fastapi import WebSocket
 
@@ -291,13 +294,28 @@ def llm(self, prompt: str, stream: bool = False) -> str:
         # Add a token counter to the callbacks
         callbacks.append(ModelInteractionHandler(self, self.__class__.__name__))
 
+        
+        # TODO: add here optional convo history passed to the method, or taken from working memory
+        messages=[
+            HumanMessage(content=prompt)
+        ]
+
         # Check if self._llm is a completion model and generate a response
-        if isinstance(self._llm, BaseLLM):
-            return self._llm(prompt, callbacks=callbacks)
+        # TODOV2: do not support non-chat models
+        #if isinstance(self._llm, BaseLLM):
+        #    log.critical("LLM")
+        #    return self._llm.invoke(
+        #        prompt,
+        #        config=RunnableConfig(callbacks=callbacks)
+        #    )
 
         # Check if self._llm is a chat model and call it as a completion model
-        if isinstance(self._llm, BaseChatModel):
-            return self._llm.call_as_llm(prompt, callbacks=callbacks)
+        if True:#isinstance(self._llm, BaseChatModel):
+            log.critical("CHAT LLM")
+            return self._llm.invoke(
+                messages,
+                config=RunnableConfig(callbacks=callbacks)
+            ).content # returns AIMessage
 
     async def __call__(self, message_dict):
         """Call the Cat instance.
diff --git a/core/cat/utils.py b/core/cat/utils.py
index 5b3563641..7edf35d51 100644
--- a/core/cat/utils.py
+++ b/core/cat/utils.py
@@ -156,14 +156,22 @@ def parse_json(json_string: str, pydantic_model: BaseModel = None) -> dict:
     # instantiate parser
     parser = JsonOutputParser(pydantic_object=pydantic_model)
 
-    # clean escapes (small LLM error)
-    json_string_clean = json_string.replace("\_", "_").replace("\-", "-").replace("None", "null")
+    # clean to help small LLMs
+    replaces = {
+        "\_": "_",
+        "\-": "-",
+        "None": "null",
+        "{{": "{",
+        "}}": "}",
+    }
+    for k, v in replaces.items():
+        json_string = json_string.replace(k, v)
 
     # first "{" occurrence (required by parser)
-    start_index = json_string_clean.index("{")
+    start_index = json_string.index("{")
 
     # parse
-    parsed = parser.parse(json_string_clean[start_index:])
+    parsed = parser.parse(json_string[start_index:])
     
     if pydantic_model:
         return pydantic_model(**parsed)