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Return all the fields from model response
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In current scenario, the following code will only return a response_model
type class but I would also like to get other fields returned by anthropic model like usage, id etc.
message = anthropic_client.messages.create(
model=engine,
max_tokens=1000,
temperature=temperature,
top_p=top_p,
system=system_prompt,
messages=user_prompt,
response_model=response_model
)
import openai
import instructor
from pydantic import BaseModel
client = instructor.from_openai(openai.OpenAI())
class User(BaseModel):
name: str
age: int
user, completion = client.chat.completions.create_with_completion(
model="gpt-4-turbo-preview",
messages=[
{"role": "user", "content": "Create a user"},
],
response_model=User,
)
For antrhopic, it throws following error: AttributeError: 'Message' object has no attribute '_raw_response'
can you include the entire stack trace?
can you include the entire stack trace?
The same happens to me with the OpenAI instructor-patched client.
instructor==1.1.0
openai==1.14.1
My model is a List[User]
, hence not directly a Pydantic object, I believe the reason is that. For reproduction:
client.chat.completions.create_with_completion(
model=model_name,
messages=[
{
"role": "system",
"content": "blahblah",
},
{
"role": "user",
"content": f"# Example output\n{example}\n\n# Input :\n\n----\n\n{text}\n\n----",
},
],
response_model=List[MyModel],
response_format={"type": "json_object"},
tool_choice="auto",
)
and I get this error.
Traceback (most recent call last):
File "/home/ubuntu/opt/miniconda3/envs/sm2/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3577, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-1-c37d075e354d>", line 1, in <module>
out = client.chat.completions.create_with_completion(
File "/home/ubuntu/opt/miniconda3/envs/sm2/lib/python3.10/site-packages/instructor/client.py", line 141, in create_with_completion
return model, model._raw_response
AttributeError: 'list' object has no attribute '_raw_response'
What if I try passing a pydantic model like?
class ListMyModel(BaseModel):
list_models: List[MyModel]
The attribute _raw_response
should be there, right?
Correct!