mirror of
https://github.com/discourse/discourse-ai.git
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61e4c56e1a
This commit adds the ability to enable vision for AI personas, allowing them to understand images that are posted in the conversation. For personas with vision enabled, any images the user has posted will be resized to be within the configured max_pixels limit, base64 encoded and included in the prompt sent to the AI provider. The persona editor allows enabling/disabling vision and has a dropdown to select the max supported image size (low, medium, high). Vision is disabled by default. This initial vision support has been tested and implemented with Anthropic's claude-3 models which accept images in a special format as part of the prompt. Other integrations will need to be updated to support images. Several specs were added to test the new functionality at the persona, prompt building and API layers. - Gemini is omitted, pending API support for Gemini 1.5. Current Gemini bot is not performing well, adding images is unlikely to make it perform any better. - Open AI is omitted, vision support on GPT-4 it limited in that the API has no tool support when images are enabled so we would need to full back to a different prompting technique, something that would add lots of complexity --------- Co-authored-by: Martin Brennan <martin@discourse.org>
467 lines
15 KiB
Ruby
467 lines
15 KiB
Ruby
# frozen_string_literal: true
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RSpec.describe DiscourseAi::Completions::Endpoints::Anthropic do
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let(:llm) { DiscourseAi::Completions::Llm.proxy("anthropic:claude-3-opus") }
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let(:image100x100) { plugin_file_from_fixtures("100x100.jpg") }
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let(:upload100x100) do
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UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
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end
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let(:prompt) do
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DiscourseAi::Completions::Prompt.new(
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"You are hello bot",
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messages: [type: :user, id: "user1", content: "hello"],
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)
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end
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let(:echo_tool) do
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{
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name: "echo",
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description: "echo something",
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parameters: [{ name: "text", type: "string", description: "text to echo", required: true }],
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}
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end
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let(:google_tool) do
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{
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name: "google",
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description: "google something",
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parameters: [
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{ name: "query", type: "string", description: "text to google", required: true },
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],
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}
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end
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let(:prompt_with_echo_tool) do
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prompt_with_tools = prompt
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prompt.tools = [echo_tool]
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prompt_with_tools
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end
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let(:prompt_with_google_tool) do
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prompt_with_tools = prompt
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prompt.tools = [echo_tool]
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prompt_with_tools
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end
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before { SiteSetting.ai_anthropic_api_key = "123" }
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it "does not eat spaces with tool calls" do
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body = <<~STRING
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event: message_start
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data: {"type":"message_start","message":{"id":"msg_019kmW9Q3GqfWmuFJbePJTBR","type":"message","role":"assistant","content":[],"model":"claude-3-opus-20240229","stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":347,"output_tokens":1}}}
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event: content_block_start
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data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
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event: ping
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data: {"type": "ping"}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"<function"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"_"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"calls"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"<invoke"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"<tool"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"_"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"name"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"google"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"</tool"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"_"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"name"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"<parameters"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"<query"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"top"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" "}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"10"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" "}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"things"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" to"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" do"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" in"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" japan"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" for"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" tourists"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"</query"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"</parameters"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"</invoke"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":">"}}
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event: content_block_delta
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data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"\\n"}}
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event: content_block_stop
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data: {"type":"content_block_stop","index":0}
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event: message_delta
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data: {"type":"message_delta","delta":{"stop_reason":"stop_sequence","stop_sequence":"</function_calls>"},"usage":{"output_tokens":57}}
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event: message_stop
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data: {"type":"message_stop"}
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STRING
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stub_request(:post, "https://api.anthropic.com/v1/messages").to_return(status: 200, body: body)
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result = +""
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llm.generate(prompt_with_google_tool, user: Discourse.system_user) do |partial|
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result << partial
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end
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expected = (<<~TEXT).strip
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<function_calls>
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<invoke>
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<tool_name>google</tool_name>
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<parameters>
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<query>top 10 things to do in japan for tourists</query>
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</parameters>
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<tool_id>tool_0</tool_id>
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</invoke>
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</function_calls>
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TEXT
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expect(result.strip).to eq(expected)
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end
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it "can stream a response" do
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body = (<<~STRING).strip
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event: message_start
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data: {"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-3-opus-20240229", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 25, "output_tokens": 1}}}
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event: content_block_start
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data: {"type": "content_block_start", "index":0, "content_block": {"type": "text", "text": ""}}
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event: ping
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data: {"type": "ping"}
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event: content_block_delta
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data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello"}}
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event: content_block_delta
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data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "!"}}
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event: content_block_stop
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data: {"type": "content_block_stop", "index": 0}
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event: message_delta
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data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence":null, "usage":{"output_tokens": 15}}}
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event: message_stop
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data: {"type": "message_stop"}
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STRING
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parsed_body = nil
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stub_request(:post, "https://api.anthropic.com/v1/messages").with(
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body:
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proc do |req_body|
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parsed_body = JSON.parse(req_body, symbolize_names: true)
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true
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end,
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headers: {
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"Content-Type" => "application/json",
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"X-Api-Key" => "123",
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"Anthropic-Version" => "2023-06-01",
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},
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).to_return(status: 200, body: body)
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result = +""
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llm.generate(prompt, user: Discourse.system_user) { |partial, cancel| result << partial }
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expect(result).to eq("Hello!")
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expected_body = {
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model: "claude-3-opus-20240229",
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max_tokens: 3000,
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messages: [{ role: "user", content: "user1: hello" }],
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system: "You are hello bot",
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stream: true,
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}
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expect(parsed_body).to eq(expected_body)
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log = AiApiAuditLog.order(:id).last
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expect(log.provider_id).to eq(AiApiAuditLog::Provider::Anthropic)
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expect(log.request_tokens).to eq(25)
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expect(log.response_tokens).to eq(15)
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end
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it "can return multiple function calls" do
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functions = <<~FUNCTIONS
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<function_calls>
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<invoke>
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<tool_name>echo</tool_name>
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<parameters>
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<text>something</text>
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</parameters>
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</invoke>
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<invoke>
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<tool_name>echo</tool_name>
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<parameters>
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<text>something else</text>
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</parameters>
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</invoke>
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FUNCTIONS
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body = <<~STRING
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{
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"content": [
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{
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"text": "Hello!\n\n#{functions}\njunk",
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"type": "text"
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}
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],
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"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
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"model": "claude-3-opus-20240229",
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"role": "assistant",
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"stop_reason": "end_turn",
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"stop_sequence": null,
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"type": "message",
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"usage": {
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"input_tokens": 10,
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"output_tokens": 25
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}
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}
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STRING
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stub_request(:post, "https://api.anthropic.com/v1/messages").to_return(status: 200, body: body)
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result = llm.generate(prompt_with_echo_tool, user: Discourse.system_user)
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expected = (<<~EXPECTED).strip
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<function_calls>
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<invoke>
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<tool_name>echo</tool_name>
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<parameters>
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<text>something</text>
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</parameters>
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<tool_id>tool_0</tool_id>
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</invoke>
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<invoke>
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<tool_name>echo</tool_name>
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<parameters>
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<text>something else</text>
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</parameters>
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<tool_id>tool_1</tool_id>
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</invoke>
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</function_calls>
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EXPECTED
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expect(result.strip).to eq(expected)
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end
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it "can send images via a completion prompt" do
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prompt =
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DiscourseAi::Completions::Prompt.new(
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"You are image bot",
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messages: [type: :user, id: "user1", content: "hello", upload_ids: [upload100x100.id]],
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)
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encoded = prompt.encoded_uploads(prompt.messages.last)
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request_body = {
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model: "claude-3-opus-20240229",
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max_tokens: 3000,
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messages: [
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{
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role: "user",
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content: [
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{
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type: "image",
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source: {
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type: "base64",
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media_type: "image/jpeg",
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data: encoded[0][:base64],
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},
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},
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{ type: "text", text: "user1: hello" },
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],
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},
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],
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system: "You are image bot",
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}
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response_body = <<~STRING
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{
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"content": [
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{
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"text": "What a cool image",
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"type": "text"
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}
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],
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"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
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"model": "claude-3-opus-20240229",
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"role": "assistant",
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"stop_reason": "end_turn",
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"stop_sequence": null,
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"type": "message",
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"usage": {
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"input_tokens": 10,
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"output_tokens": 25
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}
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}
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STRING
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requested_body = nil
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stub_request(:post, "https://api.anthropic.com/v1/messages").with(
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body:
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proc do |req_body|
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requested_body = JSON.parse(req_body, symbolize_names: true)
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true
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end,
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).to_return(status: 200, body: response_body)
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result = llm.generate(prompt, user: Discourse.system_user)
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expect(result).to eq("What a cool image")
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expect(requested_body).to eq(request_body)
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end
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it "can operate in regular mode" do
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body = <<~STRING
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{
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"content": [
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{
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"text": "Hello!",
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"type": "text"
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}
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],
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"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
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"model": "claude-3-opus-20240229",
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"role": "assistant",
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"stop_reason": "end_turn",
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"stop_sequence": null,
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"type": "message",
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"usage": {
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"input_tokens": 10,
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"output_tokens": 25
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}
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}
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STRING
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parsed_body = nil
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stub_request(:post, "https://api.anthropic.com/v1/messages").with(
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body:
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proc do |req_body|
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parsed_body = JSON.parse(req_body, symbolize_names: true)
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true
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end,
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headers: {
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"Content-Type" => "application/json",
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"X-Api-Key" => "123",
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"Anthropic-Version" => "2023-06-01",
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},
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).to_return(status: 200, body: body)
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result = llm.generate(prompt, user: Discourse.system_user)
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expect(result).to eq("Hello!")
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expected_body = {
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model: "claude-3-opus-20240229",
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max_tokens: 3000,
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messages: [{ role: "user", content: "user1: hello" }],
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system: "You are hello bot",
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}
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expect(parsed_body).to eq(expected_body)
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log = AiApiAuditLog.order(:id).last
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expect(log.provider_id).to eq(AiApiAuditLog::Provider::Anthropic)
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expect(log.request_tokens).to eq(10)
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expect(log.response_tokens).to eq(25)
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end
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end
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