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aaron-lerner avatar aaron-lerner commented on July 26, 2024

Hey @DhruvThu, can you share a few ids from the responses you get back on vertex requests? Or share a few request ids? This will help us debug.

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DhruvThu avatar DhruvThu commented on July 26, 2024

Thanks for responding. Also, I am using streaming response from vertex anthropic and these are some of the message ids which i got in first chunk. msg_01D2jNpu4rUZMXUvwtpipMnx, msg_01CMjRdPAhDQaWELbrgSirS8

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aaron-lerner avatar aaron-lerner commented on July 26, 2024

Hmm, message ids from vertex should look like msg_vrtx_.... The ids you shared are for the direct (1P) Anthropic API.

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DhruvThu avatar DhruvThu commented on July 26, 2024

Could you check for this? msg_vrtx_01AaDL52fwpTrqFftLMxxQ1e. Sorry for the previous one. In this message, it took around 2.4s to start streaming.
The streaming response through direct Anthropic API took around 0.89s. The message id for that is msg_01AWgnspZ2w5NhzE92uL7VZ9.

The code I am using is as follows,

class AnthropicLLM:
    def __init__(self, anthropic_client : Anthropic, anthropic_vertex_client : AnthropicVertex) -> None:
        self.anthropic = anthropic_client
        credentials, project_id = google.auth.load_credentials_from_dict(google_credentials_info, scopes=["https://www.googleapis.com/auth/cloud-platform"],)
        anthropic_vertex_client._credentials = credentials
        self.vertex_anthropic = anthropic_vertex_client
        self.messages = Messages(self)

class Messages:
    def __init__(self, client : AnthropicLLM) -> None:
        self.client = client

    def create(self, model : str, messages : list[Message], temperature : float, system : str, stream : bool, max_tokens : int, tool_choice : str, tools : list[dict]):
        model = model.replace("@", "-")
        import time
        st = time.time()
        if(tools == []):
            response = self.client.vertex_anthropic.messages.create(
                    model=model,
                    messages=messages,
                    temperature=temperature,
                    system=system,
                    stream=True,
                    max_tokens=max_tokens
                )
            print(response)
            print(time.time()-st)
            return response
        else:
            return self.client.vertex_anthropic.messages.create(
                    model=model,
                    messages=messages,
                    temperature=temperature,
                    system=system,
                    stream=stream,
                    max_tokens=max_tokens,
                    tool_choice=tool_choice,
                    tools=tools
                )

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RobertCraigie avatar RobertCraigie commented on July 26, 2024

Hey @DhruvThu, we've identified the root cause of this issue. While we work on a fix you can workaround this issue by explicitly passing an access_token, e.g. AnthropicVertex(access_token=access_token)

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DhruvThu avatar DhruvThu commented on July 26, 2024

Hey, thanks for the response. I try with access token

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RobertCraigie avatar RobertCraigie commented on July 26, 2024

This will be fixed in the next release, v0.30.2, #573.

Note that you will still see a delay when making the very first request with an AnthropicVertex instance as we need to fetch the access token but subsequent requests will use the cached token.

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