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fix: handle document fetching from URL in Anthropic LLM model, solving base64 decoding error #11858

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merged 2 commits into from
Dec 20, 2024
Merged

fix: handle document fetching from URL in Anthropic LLM model, solving base64 decoding error #11858

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3b52d16
fix: handle document fetching from URL in Anthropic LLM model, solvin…
fdb02983rhy Dec 19, 2024
98cb041
fix: streamline document handling in Anthropic LLM model by directly …
fdb02983rhy Dec 20, 2024
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13 changes: 12 additions & 1 deletion api/core/model_runtime/model_providers/anthropic/llm/llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -526,12 +526,23 @@ def _convert_prompt_messages(self, prompt_messages: Sequence[PromptMessage]) ->
f"Unsupported document type {message_content.mime_type}, "
"only support application/pdf"
)
if not message_content.base64_data:
try:
document_content = requests.get(message_content.url).content
base64_data = base64.b64encode(document_content).decode("utf-8")
except Exception as ex:
raise ValueError(
f"Failed to fetch document data from url {message_content.url}, {ex}"
)
else:
base64_data = message_content.base64_data

sub_message_dict = {
"type": "document",
"source": {
"type": "base64",
"media_type": message_content.mime_type,
"data": message_content.data,
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"data": base64_data,
},
}
sub_messages.append(sub_message_dict)
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