diff --git a/external_components/chat_gpt_4o_2024_08_06/extract.py b/external_components/chat_gpt_4o_2024_08_06/extract.py
index 6245fa77..d97911f2 100644
--- a/external_components/chat_gpt_4o_2024_08_06/extract.py
+++ b/external_components/chat_gpt_4o_2024_08_06/extract.py
@@ -1,6 +1,5 @@
 from typing import Optional
 
-import openai
 from odmantic import EmbeddedModel, Field
 from openai import OpenAI
 
@@ -9,76 +8,60 @@
 
 class GPT_4o_2024_08_06(EmbeddedModel):
     year: Optional[int] = Field(
-        default=None,
         description="Best attempt at extracting the year of the publication",
     )
     journal: Optional[str] = Field(
-        default=None, description="The journal in which the paper was published"
+        description="The journal in which the paper was published"
     )
     article_type: list[str] = Field(
-        default=None,
         description="The type of article e.g. research article, review, erratum, meta-analysis etc.",
     )
     affiliation_country: list[str] = Field(
-        default_factory=list,
         description="The countries of the affiliations of the authors",
     )
     institute: list[str] = Field(
-        default_factory=list,
         description="The institutes of the affiliations of the authors",
     )
-    doi: Optional[str] = Field(default=None, description="The DOI of the paper")
-    pmid: Optional[int] = Field(default=None, description="The PMID of the paper")
-    pmcid: Optional[str] = Field(default=None, description="The PMCID of the paper")
-    title: Optional[str] = Field(default=None, description="The title of the paper")
-    authors: list[str] = Field(
-        default_factory=list, description="The authors of the paper"
-    )
-    publisher: Optional[str] = Field(
-        default=None, description="The publisher of the paper"
-    )
+    doi: Optional[str] = Field(description="The DOI of the paper")
+    pmid: Optional[int] = Field(description="The PMID of the paper")
+    pmcid: Optional[str] = Field(description="The PMCID of the paper")
+    title: Optional[str] = Field(description="The title of the paper")
+    authors: list[str] = Field(description="The authors of the paper")
+    publisher: Optional[str] = Field(description="The publisher of the paper")
     is_open_code: Optional[bool] = Field(
-        default=None,
         description="Whether there is evidence that the code used for analysis in the paper has been shared online",
     )
     code_sharing_statement: Optional[str] = Field(
-        default=None,
         description="The statement in the paper that indicates whether the code used for analysis has been shared online",
     )
     is_open_data: Optional[bool] = Field(
-        default=None,
         description="Whether there is evidence that the data used for analysis in the paper has been shared online",
     )
     data_sharing_statement: Optional[str] = Field(
-        default=None,
         description="The statement in the paper that indicates whether the data used for analysis has been shared online",
     )
     has_coi_statement: Optional[bool] = Field(
-        default=None,
         description="Whether there is a conflict of interest statement in the paper",
     )
     coi_statement: Optional[str] = Field(
-        default=None, description="The conflict of interest statement in the paper"
+        description="The conflict of interest statement in the paper"
     )
     funder: list[str] = Field(
-        default_factory=list,
         description="The funders of the research, may contain multiple funders",
     )
     has_funding_statement: Optional[bool] = Field(
-        default=None, description="Whether there is a funding statement in the paper"
+        description="Whether there is a funding statement in the paper"
     )
     funding_statement: Optional[str] = Field(
-        default=None, description="The funding statement in the paper"
+        description="The funding statement in the paper"
     )
     has_registration_statement: Optional[bool] = Field(
-        default=None,
         description="Whether there is a registration statement in the paper",
     )
     registration_statement: Optional[str] = Field(
-        default=None, description="The registration statement in the paper"
+        description="The registration statement in the paper"
     )
     reasoning_steps: list[str] = Field(
-        default_factory=list,
         description="The reasoning steps used to extract the information from the paper",
     )
 
@@ -93,11 +76,9 @@ def parse_xml_content(xml_content: bytes) -> GPT_4o_2024_08_06:
             },
             {
                 "role": "user",
-                "content": f'{xml_content.decode("utf-8")}',
+                "content": f'{xml_content.decode("utf-8")[:100]}',
             },
         ],
-        tools=[
-            openai.pydantic_function_tool(GPT_4o_2024_08_06.__pydantic_model__),
-        ],
+        response_format=GPT_4o_2024_08_06.__pydantic_model__,
     )
     return completion.messages[-1].content
diff --git a/external_components/chat_gpt_4o_2024_08_06/extract_2.py b/external_components/chat_gpt_4o_2024_08_06/extract_2.py
new file mode 100644
index 00000000..b59ade5f
--- /dev/null
+++ b/external_components/chat_gpt_4o_2024_08_06/extract_2.py
@@ -0,0 +1,98 @@
+from llama_index.core import ChatPromptTemplate
+from llama_index.core.llms import ChatMessage
+from llama_index.llms.openai import OpenAI
+from llama_index.program.openai import OpenAIPydanticProgram
+from pydantic import BaseModel, Field
+
+llm = OpenAI(model="gpt-4o-2024-08-06")
+
+# response = llm.complete(
+#     "Generate a sales call transcript, use real names, talk about a product, discuss some action items"
+# )
+
+
+class GPT_4o_2024_08_06(BaseModel):
+    """
+    Model for extracting information from scientific publications. These metrics
+    are a summary of the publications adherence to transparent or open
+    scientific practices.
+    Many unavailable identifiers (PMID, PMCID etc) can be found using pubmed: https://pubmed.ncbi.nlm.nih.gov/advanced/
+    """
+
+    year: int = Field(
+        description="Best attempt at extracting the year of the publication",
+    )
+    journal: str = Field(description="The journal in which the paper was published")
+    article_type: list[str] = Field(
+        description="The type of article e.g. research article, review, erratum, meta-analysis etc.",
+    )
+    affiliation_country: list[str] = Field(
+        description="The countries of the affiliations of the authors",
+    )
+    institute: list[str] = Field(
+        description="The institutes of the affiliations of the authors",
+    )
+    doi: str = Field(description="The DOI of the paper")
+    pmid: int = Field(description="The PMID of the paper")
+    pmcid: str = Field(description="The PMCID of the paper")
+    title: str = Field(description="The title of the paper")
+    authors: list[str] = Field(description="The authors of the paper")
+    publisher: str = Field(description="The publisher of the paper")
+    is_open_code: bool = Field(
+        description="Whether there is evidence that the code used for analysis in the paper has been shared online",
+    )
+    code_sharing_statement: str = Field(
+        description="The statement in the paper that indicates whether the code used for analysis has been shared online",
+    )
+    is_open_data: bool = Field(
+        description="Whether there is evidence that the data used for analysis in the paper has been shared online",
+    )
+    data_sharing_statement: str = Field(
+        description="The statement in the paper that indicates whether the data used for analysis has been shared online",
+    )
+    has_coi_statement: bool = Field(
+        description="Whether there is a conflict of interest statement in the paper",
+    )
+    coi_statement: str = Field(
+        description="The conflict of interest statement in the paper"
+    )
+    funder: list[str] = Field(
+        description="The funders of the research, may contain multiple funders",
+    )
+    has_funding_statement: bool = Field(
+        description="Whether there is a funding statement in the paper"
+    )
+    funding_statement: str = Field(description="The funding statement in the paper")
+    has_registration_statement: bool = Field(
+        description="Whether there is a registration statement in the paper",
+    )
+    registration_statement: str = Field(
+        description="The registration statement in the paper"
+    )
+    reasoning_steps: list[str] = Field(
+        description="The reasoning steps used to extract the information from the paper",
+    )
+
+
+prompt = ChatPromptTemplate(
+    message_templates=[
+        ChatMessage(
+            role="system",
+            content=(
+                "You are an expert at extracting information from scientific publications with a keen eye for details that when combined together allows you to summarize aspects of the publication"
+            ),
+        ),
+        ChatMessage(
+            role="user",
+            content=(
+                "Here is the transcript: \n" "------\n" "{xml_content}\n" "------"
+            ),
+        ),
+    ]
+)
+program = OpenAIPydanticProgram.from_defaults(
+    output_cls=GPT_4o_2024_08_06,
+    llm=llm,
+    prompt=prompt,
+    verbose=True,
+)