discourse-ai/config/locales/client.en.yml

en:
  admin_js:
    admin:
      api:
        scopes:
          descriptions:
            discourse_ai:
              search: "Allows AI search"
              stream_completion: "Allows streaming AI persona completions"

      site_settings:
        categories:
          discourse_ai: "Discourse AI"
      dashboard:
        emotion:
          title: "Emotion"
          description: "The table lists a count of posts classified with a determined emotion. Classified with the model 'SamLowe/roberta-base-go_emotions'."
  js:
    discourse_automation:
      scriptables:
        llm_report:
          fields:
            sender:
              label: "Sender"
              description: "The user that will send the report"
            receivers:
              label: "Receivers"
              description: "The users that will receive the report (emails will be sent direct emails, usernames will be sent a PM)"
            topic_id:
              label: "Topic ID"
              description: "The topic ID to post the report to"
            title:
              label: "Title"
              description: "The title of the report"
            days:
              label: "Days"
              description: "The timespan of the report"
            offset:
              label: "Offset"
              description: "When testing you may want to run the report historically, use offset to start the report in an earlier date"
            instructions:
              label: "Instructions"
              description: "The instructions provided to the large language model"
            sample_size:
              label: "Sample Size"
              description: "The number of posts to sample for the report"
            tokens_per_post:
              label: "Tokens per post"
              description: "The number of LLM tokens to use per post"
            model:
              label: "Model"
              description: "LLM to use for report generation"
            categories:
              label: "Categories"
              description: "Filter topics only to these categories"
            tags:
              label: "Tags"
              description: "Filter topics only to these tags"
            exclude_tags:
              label: "Exclude Tags"
              description: "Exclude topics with these tags"
            exclude_categories:
              label: "Exclude Categories"
              description: "Exclude topics with these categories"
            allow_secure_categories:
              label: "Allow secure categories"
              description: "Allow the report to be generated for topics in secure categories"
            suppress_notifications:
              label: "Suppress Notifications"
              description: "Suppress notifications the report may generate by transforming to content. This will remap mentions and internal links."
            debug_mode:
              label: "Debug Mode"
              description: "Enable debug mode to see the raw input and output of the LLM"
            priority_group:
              label: "Priority Group"
              description: "Prioritize content from this group in the report"
            temperature:
              label: "Temperature"
              description: "Temperature to use for the LLM. Increase to increase randomness (0 to use model default)"
            top_p:
              label: "Top P"
              description: "Top P to use for the LLM, increase to increase randomness (0 to use model default)"

        llm_triage:
          fields:
            system_prompt:
              label: "System Prompt"
              description: "The prompt that will be used to triage, be sure for it to reply with a single word you can use to trigger the action"
            max_post_tokens:
              label: "Max Post Tokens"
              description: "The maximum number of tokens to scan using LLM triage"
            stop_sequences:
              label: "Stop Sequences"
              description: "Instruct the model to halt token generation when arriving at one of these values"
            search_for_text:
              label: "Search for text"
              description: "If the following text appears in the LLM reply, apply these actions"
            category:
              label: "Category"
              description: "Category to apply to the topic"
            tags:
              label: "Tags"
              description: "Tags to apply to the topic"
            canned_reply:
              label: "Reply"
              description: "Raw text of the canned reply to post on the topic"
            canned_reply_user:
              label: "Reply User"
              description: "Username of the user to post the canned reply"
            hide_topic:
              label: "Hide topic"
              description: "Make topic not visible to the public if triggered"
            flag_type:
              label: "Flag type"
              description: "Type of flag to apply to the post (spam or simply raise for review)"
            flag_post:
              label: "Flag post"
              description: "Flags post (either as spam or for review)"
            include_personal_messages:
              label: "Include personal messages"
              description: "Also scan and triage personal messages"
            model:
              label: "Model"
              description: "Language model used for triage"

    discourse_ai:
      title: "AI"

      modals:
        select_option: "Select an option..."

      spam:
        short_title: "Spam"
        title: "Configure spam handling"
        select_llm: "Select LLM"
        custom_instructions: "Custom instructions"
        custom_instructions_help: "Custom instructions specific to your site to help guide the AI in identifying spam, e.g. 'Be more aggressive about scanning posts not in English'."
        last_seven_days: "Last 7 days"
        scanned_count: "Posts scanned"
        false_positives: "Incorrectly flagged"
        false_negatives: "Missed spam"
        spam_detected: "Spam detected"
        custom_instructions_placeholder: "Site-specific instructions for the AI to help identify spam more accurately"
        enable: "Enable"
        spam_tip: "AI spam detection will scan the first 3 posts by all new users on public topics. It will flag them for review and block users if they are likely spam."
        settings_saved: "Settings saved"
        spam_description: "Identifies potential spam using the selected LLM and flags it for site moderators to inspect in the review queue"
        no_llms: "No LLMs available"
        test_button: "Test..."
        save_button: "Save changes"
        test_modal:
          title: "Test spam detection"
          post_url_label: "Post URL or ID"
          post_url_placeholder: "https://your-forum.com/t/topic/123/4 or post ID"
          result: "Result"
          scan_log: "Scan log"
          run: "Run test"
          spam: "Spam"
          not_spam: "Not spam"

      usage:
        short_title: "Usage"
        summary: "Summary"
        total_tokens: "Total tokens"
        tokens_over_time: "Tokens over time"
        features_breakdown: "Usage per feature"
        feature: "Feature"
        usage_count: "Usage count"
        model: "Model"
        models_breakdown: "Usage per model"
        users_breakdown: "Usage per user"
        all_features: "All features"
        all_models: "All models"
        username: "Username"
        total_requests: "Total requests"
        request_tokens: "Request tokens"
        response_tokens: "Response tokens"
        net_request_tokens: "Net request tokens"
        cached_tokens: "Cached tokens"
        cached_request_tokens: "Cached request tokens"
        no_users: "No user usage data found"
        no_models: "No model usage data found"
        no_features: "No feature usage data found"
        subheader_description: "Tokens are the basic units that LLMs use to understand and generate text, usage data may affect costs."
        periods:
          last_day: "Last 24 hours"
          last_week: "Last week"
          last_month: "Last month"
          custom: "Custom..."

      ai_persona:
        tool_strategies:
          all: "Apply to all replies"
          replies:
            one: "Apply to first reply only"
            other: "Apply to first %{count} replies"
        back: "Back"
        name: "Name"
        edit: "Edit"
        description: "Description"
        no_llm_selected: "No language model selected"
        max_context_posts: "Max context posts"
        max_context_posts_help: "The maximum number of posts to use as context for the AI when responding to a user. (empty for default)"
        vision_enabled: Vision enabled
        vision_enabled_help: If enabled, the AI will attempt to understand images users post in the topic, depends on the model being used supporting vision. Supported by latest models from Anthropic, Google, and OpenAI.
        vision_max_pixels: Supported image size
        vision_max_pixel_sizes:
          low: Low quality - cheapest (256x256)
          medium: Medium quality (512x512)
          high: High quality - slowest (1024x1024)
        tool_details: Show tool details
        tool_details_help: Will show end users details on which tools the language model has triggered.
        mentionable: Allow mentions
        mentionable_help: If enabled, users in allowed groups can mention this user in posts, the AI will respond as this persona.
        user: User
        create_user: Create user
        create_user_help: You can optionally attach a user to this persona. If you do, the AI will use this user to respond to requests.
        default_llm: Default language model
        default_llm_help: The default language model to use for this persona. Required if you wish to mention persona on public posts.
        question_consolidator_llm: Language Model for Question Consolidator
        question_consolidator_llm_help: The language model to use for the question consolidator, you may choose a less powerful model to save costs.
        system_prompt: System prompt
        forced_tool_strategy: Forced tool strategy
        allow_chat_direct_messages: "Allow chat direct messages"
        allow_chat_direct_messages_help: "If enabled, users in allowed groups can send direct messages to this persona."
        allow_chat_channel_mentions: "Allow chat channel mentions"
        allow_chat_channel_mentions_help: "If enabled, users in allowed groups can mention this persona in chat channels."
        allow_personal_messages: "Allow personal messages"
        allow_personal_messages_help: "If enabled, users in allowed groups can send personal messages to this persona."
        allow_topic_mentions: "Allow topic mentions"
        allow_topic_mentions_help: "If enabled, users in allowed groups can mention this persona in topics."
        force_default_llm: "Always use default language model"
        save: "Save"
        saved: "Persona saved"
        enabled: "Enabled?"
        tools: "Enabled tools"
        forced_tools: "Forced tools"
        allowed_groups: "Allowed groups"
        confirm_delete: "Are you sure you want to delete this persona?"
        new: "New persona"
        no_personas: "You have not created any personas yet"
        title: "Personas"
        short_title: "Personas"
        delete: "Delete"
        temperature: "Temperature"
        temperature_help: "Temperature to use for the LLM. Increase to increase creativity (leave empty to use model default, generally a value from 0.0 to 2.0)"
        top_p: "Top P"
        top_p_help: "Top P to use for the LLM, increase to increase randomness (leave empty to use model default, generally a value from 0.0 to 1.0)"
        priority: "Priority"
        priority_help: "Priority personas are displayed to users at the top of the persona list. If multiple personas have priority, they will be sorted alphabetically."
        tool_options: "Tool options"
        rag_conversation_chunks: "Search conversation chunks"
        rag_conversation_chunks_help: "The number of chunks to use for the RAG model searches. Increase to increase the amount of context the AI can use."
        persona_description: "Personas are a powerful feature that allows you to customize the behavior of the AI engine in your Discourse forum. They act as a 'system message' that guides the AI's responses and interactions, helping to create a more personalized and engaging user experience."

      rag:
        options:
          rag_chunk_tokens: "Upload chunk tokens"
          rag_chunk_tokens_help: "The number of tokens to use for each chunk in the RAG model. Increase to increase the amount of context the AI can use. (changing will re-index all uploads)"
          rag_chunk_overlap_tokens: "Upload chunk overlap tokens"
          rag_chunk_overlap_tokens_help: "The number of tokens to overlap between chunks in the RAG model. (changing will re-index all uploads)"
          show_indexing_options: "Show upload options"
          hide_indexing_options: "Hide upload options"
        uploads:
          title: "Uploads"
          description: "Uploaded files should be formatted as plaintext (.txt) or markdown (.md)."
          button: "Add files"
          filter: "Filter uploads"
          indexed: "Indexed"
          indexing: "Indexing"
          uploaded: "Ready to be indexed"
          uploading: "Uploading..."
          remove: "Remove upload"

      tools:
        back: "Back"
        short_title: "Tools"
        no_tools: "You have not created any tools yet"
        name: "Name"
        subheader_description: "Tools extend the capabilities of AI bots with user-defined JavaScript functions."
        new: "New tool"
        name_help: "The unique name of the tool as used by the language model"
        description: "Description"
        description_help: "A clear description of the tool's purpose for the language model"
        summary: "Summary"
        summary_help: "Summary of tools purpose to be displayed to end users"
        script: "Script"
        parameters: "Parameters"
        save: "Save"
        add_parameter: "Add Parameter"
        parameter_required: "Required"
        parameter_enum: "Enum"
        parameter_name: "Parameter name"
        parameter_description: "Parameter description"
        enum_value: "Enum value"
        add_enum_value: "Add enum value"
        edit: "Edit"
        test: "Run test"
        delete: "Delete"
        saved: "Tool saved"
        presets: "Select a preset..."
        confirm_delete: "Are you sure you want to delete this tool?"
        next:
          title: "Next"
        test_modal:
          title: "Test AI tool"
          run: "Run test"
          result: "Test result"

      llms:
        short_title: "LLMs"
        no_llms: "No LLMs yet"
        new: "New model"
        display_name: "Name"
        name: "Model id"
        provider: "Provider"
        tokenizer: "Tokenizer"
        max_prompt_tokens: "Number of tokens for the prompt"
        url: "URL of the service hosting the model"
        api_key: "API Key of the service hosting the model"
        enabled_chat_bot: "Allow AI bot selector"
        vision_enabled: "Vision enabled"
        ai_bot_user: "AI bot User"
        save: "Save"
        edit: "Edit"
        saved: "LLM model saved"
        back: "Back"
        confirm_delete: Are you sure you want to delete this model?
        delete: Delete
        seeded_warning: "This model is pre-configured on your site and cannot be edited."
        usage:
          ai_bot: "AI bot"
          ai_helper: "Helper"
          ai_persona: "Persona (%{persona})"
          ai_summarization: "Summarize"
          ai_embeddings_semantic_search: "AI search"
          ai_spam: "Spam"
        in_use_warning:
          one: "This model is currently used by %{settings}. If misconfigured, the feature won't work as expected."
          other: "This model is currently used by the following: %{settings}. If misconfigured, features won't work as expected. "

        model_description:
          none: "General settings that work for most language models"
          anthropic-claude-3-5-sonnet: "Anthropic's most intelligent model"
          anthropic-claude-3-5-haiku: "Fast and cost-effective"
          anthropic-claude-3-opus: "Excels at writing and complex tasks"
          google-gemini-1-5-pro: "Mid-sized multimodal model capable of a wide range of tasks"
          google-gemini-1-5-flash: "Lightweight, fast, and cost-efficient with multimodal reasoning"
          open_ai-gpt-4-turbo: "Previous generation high-intelligence model"
          open_ai-gpt-4o: "High intelligence model for complex, multi-step tasks"
          open_ai-gpt-4o-mini: "Affordable and fast small model for lightweight tasks"
          open_ai-o1-mini: "Cost-efficient reasoning model"
          open_ai-o1-preview: "Open AI's most capabale reasoning model"
          samba_nova-Meta-Llama-3-1-8B-Instruct: "Efficient lightweight multilingual model"
          samba_nova-Meta-Llama-3-1-70B-Instruct": "Powerful multipurpose model"
          mistral-mistral-large-latest: "Mistral's most powerful model"
          mistral-pixtral-large-latest: "Mistral's most powerful vision capable model"

        configured:
          title: "Configured LLMs"
        preconfigured_llms: "Select your LLM"
        preconfigured:
          title_no_llms: "Select a template to get started"
          title: "Unconfigured LLM templates"
          description: "LLMs (Large Language Models) are AI tools optimized for tasks like summarizing content, generating reports, automating customer interactions, and facilitating forum moderation and insights."
          fake: "Manual configuration"
          button: "Set up"
        next:
          title: "Next"

        tests:
          title: "Run test"
          running: "Running test..."
          success: "Success!"
          failure: "Trying to contact the model returned this error: %{error}"

        hints:
          max_prompt_tokens: "Max numbers of tokens for the prompt. As a rule of thumb, this should be 50% of the model's context window."
          name: "We include this in the API call to specify which model we'll use"
          vision_enabled: "If enabled, the AI will attempt to understand images. It depends on the model being used supporting vision. Supported by latest models from Anthropic, Google, and OpenAI."
          enabled_chat_bot: "If enabled, users can select this model when creating PMs with the AI bot"
        providers:
          aws_bedrock: "AWS Bedrock"
          anthropic: "Anthropic"
          vllm: "vLLM"
          hugging_face: "Hugging Face"
          cohere: "Cohere"
          open_ai: "OpenAI"
          google: "Google"
          azure: "Azure"
          ollama: "Ollama"
          CDCK: "CDCK"
          samba_nova: "SambaNova"
          mistral: "Mistral"
          open_router: "OpenRouter"
          fake: "Custom"

        provider_fields:
          access_key_id: "AWS Bedrock access key ID"
          region: "AWS Bedrock region"
          organization: "Optional OpenAI organization ID"
          disable_system_prompt: "Disable system message in prompts"
          enable_native_tool: "Enable native tool support"
          disable_native_tools: "Disable native tool support (use XML based tools)"
          provider_order: "Provider order (comma delimited list)"
          provider_quantizations: "Order of provider quantizations (comma delimited list eg: fp16,fp8)"

      related_topics:
        title: "Related topics"
        pill: "Related"
      ai_helper:
        title: "Suggest changes using AI"
        description: "Choose one of the options below, and the AI will suggest you a new version of the text."
        selection_hint: "Hint: You can also select a portion of the text before opening the helper to rewrite only that."
        suggest: "Suggest with AI"
        suggest_errors:
          too_many_tags:
            one: "You can only have up to %{count} tag"
            other: "You can only have up to %{count} tags"
          no_suggestions: "No suggestions available"
        missing_content: "Please enter some content to generate suggestions."
        context_menu:
          trigger: "Ask AI"
          loading: "AI is generating"
          cancel: "Cancel"
          regen: "Try Again"
          confirm: "Confirm"
          discard: "Discard"
          changes: "Suggested edits"
          custom_prompt:
            title: "Custom prompt"
            placeholder: "Enter a custom prompt..."
            submit: "Send prompt"
          translate_prompt: "Translate to %{language}"
        post_options_menu:
          trigger: "Ask AI"
          title: "Ask AI"
          loading: "AI is generating"
          close: "Close"
          copy: "Copy"
          copied: "Copied!"
          cancel: "Cancel"
          insert_footnote: "Add footnote"
          footnote_disabled: "Automatic insertion disabled, click copy button and edit it in manually"
          footnote_credits: "Explanation by AI"
        fast_edit:
          suggest_button: "Suggest edit"
        thumbnail_suggestions:
          title: "Suggested thumbnails"
          select: "Select"
          selected: "Selected"
        image_caption:
          button_label: "Caption with AI"
          generating: "Generating caption..."
          credits: "Captioned by AI"
          save_caption: "Save"
          automatic_caption_setting: "Enable auto caption"
          automatic_caption_loading: "Captioning images..."
          automatic_caption_dialog:
            prompt: "This post contains non-captioned images. Would you like to enable automatic captions on image uploads? (This can be changed in your preferences later)"
            confirm: "Enable"
            cancel: "Don't ask again"
        no_content_error: "Add content first to perform AI actions on it"

      reviewables:
        model_used: "Model used:"
        accuracy: "Accuracy:"

      embeddings:
        semantic_search: "Topics (Semantic)"
        semantic_search_loading: "Searching for more results using AI"
        semantic_search_results:
          toggle: "Showing %{count} results found using AI"
          toggle_hidden: "Hiding %{count} results found using AI"
          none: "Sorry, our AI search found no matching topics"
          new: "Press 'search' to begin looking for new results with AI"
        ai_generated_result: "Search result found using AI"
        quick_search:
          suffix: "in all topics and posts with AI"

      ai_artifact:
        expand_view_label: "Expand view"
        collapse_view_label: "Exit Fullscreen (ESC or Back button)"
        click_to_run_label: "Run Artifact"

      ai_bot:
        pm_warning: "AI chatbot messages are monitored regularly by moderators."
        cancel_streaming: "Stop reply"
        default_pm_prefix: "[Untitled AI bot PM]"
        shortcut_title: "Start a PM with an AI bot"
        share: "Copy AI conversation"
        conversation_shared: "Conversation copied"
        debug_ai: "View raw AI request and response"
        debug_ai_modal:
          title: "View AI interaction"
          copy_request: "Copy request"
          copy_response: "Copy response"
          request_tokens: "Request tokens:"
          response_tokens: "Response tokens:"
          request: "Request"
          response: "Response"
          next_log: "Next"
          previous_log: "Previous"

        share_full_topic_modal:
          title: "Share conversation publicly"
          share: "Share and copy link"
          update: "Update and copy link"
          delete: "Delete share"

        share_ai_conversation:
          name: "Share AI conversation"
          title: "Share this AI conversation publicly"

        ai_label: "AI"
        ai_title: "Conversation with AI"

        share_modal:
          title: "Copy AI conversation"
          copy: "Copy"
          context: "Interactions to share:"
          share_tip: "Alternatively, you can share the entire conversation"

        bot_names:
          fake: "Fake Test Bot"
          claude-3-opus: "Claude 3 Opus"
          claude-3-sonnet: "Claude 3 Sonnet"
          claude-3-haiku: "Claude 3 Haiku"
          cohere-command-r-plus: "Cohere Command R Plus"
          gpt-4: "GPT-4"
          gpt-4-turbo: "GPT-4 Turbo"
          gpt-4o: "GPT-4 Omni"
          gpt-3:
            5-turbo: "GPT-3.5"
          claude-2: "Claude 2"
          gemini-1:
            5-pro: "Gemini"
          mixtral-8x7B-Instruct-V0:
            "1": "Mixtral-8x7B V0.1"
      sentiments:
        dashboard:
          title: "Sentiment"

      summarization:
        chat:
          title: "Summarize messages"
          description: "Select an option below to summarize the conversation sent during the desired timeframe."
          summarize: "Summarize"
          since:
            one: "Last hour"
            other: "Last %{count} hours"
        topic:
          title: "Topic summary"
          close: "Close summary panel"
        topic_list_layout:
          button:
            compact: "Compact"
            expanded: "Expanded"
            expanded_description: "with AI summaries"
    review:
      types:
        reviewable_ai_post:
          title: "AI-Flagged post"
        reviewable_ai_chat_message:
          title: "AI-Flagged chat message"