519 lines
22 KiB
YAML
519 lines
22 KiB
YAML
en:
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admin_js:
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admin:
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api:
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scopes:
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descriptions:
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discourse_ai:
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search: "Allows AI search"
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stream_completion: "Allows streaming AI persona completions"
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site_settings:
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categories:
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discourse_ai: "Discourse AI"
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dashboard:
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emotion:
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title: "Emotion"
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description: "The table lists a count of posts classified with a determined emotion. Classified with the model 'SamLowe/roberta-base-go_emotions'."
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js:
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discourse_automation:
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scriptables:
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llm_report:
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fields:
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sender:
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label: "Sender"
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description: "The user that will send the report"
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receivers:
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label: "Receivers"
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description: "The users that will receive the report (emails will be sent direct emails, usernames will be sent a PM)"
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topic_id:
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label: "Topic ID"
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description: "The topic ID to post the report to"
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title:
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label: "Title"
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description: "The title of the report"
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days:
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label: "Days"
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description: "The timespan of the report"
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offset:
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label: "Offset"
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description: "When testing you may want to run the report historically, use offset to start the report in an earlier date"
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instructions:
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label: "Instructions"
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description: "The instructions provided to the large language model"
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sample_size:
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label: "Sample Size"
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description: "The number of posts to sample for the report"
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tokens_per_post:
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label: "Tokens per post"
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description: "The number of LLM tokens to use per post"
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model:
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label: "Model"
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description: "LLM to use for report generation"
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categories:
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label: "Categories"
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description: "Filter topics only to these categories"
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tags:
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label: "Tags"
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description: "Filter topics only to these tags"
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exclude_tags:
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label: "Exclude Tags"
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description: "Exclude topics with these tags"
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exclude_categories:
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label: "Exclude Categories"
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description: "Exclude topics with these categories"
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allow_secure_categories:
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label: "Allow secure categories"
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description: "Allow the report to be generated for topics in secure categories"
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suppress_notifications:
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label: "Suppress Notifications"
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description: "Suppress notifications the report may generate by transforming to content. This will remap mentions and internal links."
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debug_mode:
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label: "Debug Mode"
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description: "Enable debug mode to see the raw input and output of the LLM"
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priority_group:
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label: "Priority Group"
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description: "Prioritize content from this group in the report"
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temperature:
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label: "Temperature"
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description: "Temperature to use for the LLM. Increase to increase randomness (0 to use model default)"
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top_p:
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label: "Top P"
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description: "Top P to use for the LLM, increase to increase randomness (0 to use model default)"
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llm_triage:
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fields:
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system_prompt:
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label: "System Prompt"
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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"
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max_post_tokens:
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label: "Max Post Tokens"
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description: "The maximum number of tokens to scan using LLM triage"
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search_for_text:
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label: "Search for text"
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description: "If the following text appears in the LLM reply, apply these actions"
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category:
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label: "Category"
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description: "Category to apply to the topic"
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tags:
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label: "Tags"
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description: "Tags to apply to the topic"
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canned_reply:
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label: "Reply"
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description: "Raw text of the canned reply to post on the topic"
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canned_reply_user:
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label: "Reply User"
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description: "Username of the user to post the canned reply"
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hide_topic:
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label: "Hide topic"
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description: "Make topic not visible to the public if triggered"
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flag_type:
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label: "Flag type"
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description: "Type of flag to apply to the post (spam or simply raise for review)"
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flag_post:
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label: "Flag post"
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description: "Flags post (either as spam or for review)"
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include_personal_messages:
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label: "Include personal messages"
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description: "Also scan and triage personal messages"
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model:
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label: "Model"
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description: "Language model used for triage"
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discourse_ai:
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title: "AI"
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modals:
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select_option: "Select an option..."
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usage:
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short_title: "Usage"
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summary: "Summary"
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total_tokens: "Total tokens"
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tokens_over_time: "Tokens over time"
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features_breakdown: "Usage per feature"
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feature: "Feature"
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usage_count: "Usage count"
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model: "Model"
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models_breakdown: "Usage per model"
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users_breakdown: "Usage per user"
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all_features: "All features"
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all_models: "All models"
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username: "Username"
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total_requests: "Total requests"
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request_tokens: "Request tokens"
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response_tokens: "Response tokens"
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cached_tokens: "Cached tokens"
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ai_persona:
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tool_strategies:
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all: "Apply to all replies"
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replies:
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one: "Apply to first reply only"
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other: "Apply to first %{count} replies"
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back: "Back"
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name: "Name"
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edit: "Edit"
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description: "Description"
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no_llm_selected: "No language model selected"
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max_context_posts: "Max context posts"
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max_context_posts_help: "The maximum number of posts to use as context for the AI when responding to a user. (empty for default)"
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vision_enabled: Vision enabled
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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.
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vision_max_pixels: Supported image size
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vision_max_pixel_sizes:
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low: Low quality - cheapest (256x256)
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medium: Medium quality (512x512)
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high: High quality - slowest (1024x1024)
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tool_details: Show tool details
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tool_details_help: Will show end users details on which tools the language model has triggered.
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mentionable: Allow mentions
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mentionable_help: If enabled, users in allowed groups can mention this user in posts, the AI will respond as this persona.
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user: User
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create_user: Create user
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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.
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default_llm: Default language model
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default_llm_help: The default language model to use for this persona. Required if you wish to mention persona on public posts.
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question_consolidator_llm: Language Model for Question Consolidator
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question_consolidator_llm_help: The language model to use for the question consolidator, you may choose a less powerful model to save costs.
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system_prompt: System prompt
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forced_tool_strategy: Forced tool strategy
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allow_chat_direct_messages: "Allow chat direct messages"
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allow_chat_direct_messages_help: "If enabled, users in allowed groups can send direct messages to this persona."
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allow_chat_channel_mentions: "Allow chat channel mentions"
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allow_chat_channel_mentions_help: "If enabled, users in allowed groups can mention this persona in chat channels."
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allow_personal_messages: "Allow personal messages"
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allow_personal_messages_help: "If enabled, users in allowed groups can send personal messages to this persona."
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allow_topic_mentions: "Allow topic mentions"
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allow_topic_mentions_help: "If enabled, users in allowed groups can mention this persona in topics."
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force_default_llm: "Always use default language model"
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save: "Save"
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saved: "Persona saved"
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enabled: "Enabled?"
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tools: "Enabled tools"
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forced_tools: "Forced tools"
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allowed_groups: "Allowed groups"
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confirm_delete: "Are you sure you want to delete this persona?"
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new: "New persona"
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no_personas: "You have not created any personas yet"
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title: "Personas"
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short_title: "Personas"
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delete: "Delete"
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temperature: "Temperature"
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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)"
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top_p: "Top P"
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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)"
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priority: "Priority"
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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."
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tool_options: "Tool options"
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rag_conversation_chunks: "Search conversation chunks"
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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."
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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."
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rag:
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options:
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rag_chunk_tokens: "Upload chunk tokens"
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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)"
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rag_chunk_overlap_tokens: "Upload chunk overlap tokens"
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rag_chunk_overlap_tokens_help: "The number of tokens to overlap between chunks in the RAG model. (changing will re-index all uploads)"
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show_indexing_options: "Show upload options"
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hide_indexing_options: "Hide upload options"
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uploads:
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title: "Uploads"
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description: "Uploaded files should be formatted as plaintext (.txt) or markdown (.md)."
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button: "Add files"
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filter: "Filter uploads"
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indexed: "Indexed"
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indexing: "Indexing"
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uploaded: "Ready to be indexed"
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uploading: "Uploading..."
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remove: "Remove upload"
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tools:
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back: "Back"
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short_title: "Tools"
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no_tools: "You have not created any tools yet"
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name: "Name"
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subheader_description: "Tools extend the capabilities of AI bots with user-defined JavaScript functions."
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new: "New tool"
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name_help: "The unique name of the tool as used by the language model"
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description: "Description"
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description_help: "A clear description of the tool's purpose for the language model"
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summary: "Summary"
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summary_help: "Summary of tools purpose to be displayed to end users"
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script: "Script"
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parameters: "Parameters"
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save: "Save"
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add_parameter: "Add Parameter"
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parameter_required: "Required"
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parameter_enum: "Enum"
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parameter_name: "Parameter name"
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parameter_description: "Parameter description"
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enum_value: "Enum value"
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add_enum_value: "Add enum value"
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edit: "Edit"
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test: "Run test"
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delete: "Delete"
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saved: "Tool saved"
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presets: "Select a preset..."
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confirm_delete: "Are you sure you want to delete this tool?"
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next:
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title: "Next"
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test_modal:
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title: "Test AI tool"
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run: "Run test"
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result: "Test result"
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llms:
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short_title: "LLMs"
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no_llms: "No LLMs yet"
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new: "New model"
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display_name: "Name"
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name: "Model id"
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provider: "Provider"
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tokenizer: "Tokenizer"
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max_prompt_tokens: "Number of tokens for the prompt"
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url: "URL of the service hosting the model"
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api_key: "API Key of the service hosting the model"
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enabled_chat_bot: "Allow AI bot selector"
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vision_enabled: "Vision enabled"
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ai_bot_user: "AI bot User"
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save: "Save"
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edit: "Edit"
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saved: "LLM model saved"
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back: "Back"
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confirm_delete: Are you sure you want to delete this model?
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delete: Delete
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seeded_warning: "This model is pre-configured on your site and cannot be edited."
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usage:
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ai_bot: "AI bot"
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ai_helper: "Helper"
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ai_persona: "Persona (%{persona})"
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ai_summarization: "Summarize"
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ai_embeddings_semantic_search: "AI search"
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in_use_warning:
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one: "This model is currently used by %{settings}. If misconfigured, the feature won't work as expected."
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other: "This model is currently used by the following: %{settings}. If misconfigured, features won't work as expected. "
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model_description:
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none: "General settings that work for most language models"
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anthropic-claude-3-5-sonnet: "Anthropic's most intelligent model"
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anthropic-claude-3-5-haiku: "Fast and cost-effective"
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anthropic-claude-3-opus: "Excels at writing and complex tasks"
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google-gemini-1-5-pro: "Mid-sized multimodal model capable of a wide range of tasks"
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google-gemini-1-5-flash: "Lightweight, fast, and cost-efficient with multimodal reasoning"
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open_ai-gpt-4-turbo: "Previous generation high-intelligence model"
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open_ai-gpt-4o: "High intelligence model for complex, multi-step tasks"
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open_ai-gpt-4o-mini: "Affordable and fast small model for lightweight tasks"
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open_ai-o1-mini: "Cost-efficient reasoning model"
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open_ai-o1-preview: "Open AI's most capabale reasoning model"
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samba_nova-Meta-Llama-3-1-8B-Instruct: "Efficient lightweight multilingual model"
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samba_nova-Meta-Llama-3-1-70B-Instruct": "Powerful multipurpose model"
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mistral-mistral-large-latest: "Mistral's most powerful model"
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mistral-pixtral-large-latest: "Mistral's most powerful vision capable model"
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configured:
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title: "Configured LLMs"
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preconfigured_llms: "Select your LLM"
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preconfigured:
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title_no_llms: "Select a template to get started"
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title: "Unconfigured LLM templates"
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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."
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fake: "Manual configuration"
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button: "Set up"
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next:
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title: "Next"
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tests:
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title: "Run test"
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running: "Running test..."
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success: "Success!"
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failure: "Trying to contact the model returned this error: %{error}"
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hints:
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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."
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name: "We include this in the API call to specify which model we'll use"
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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."
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enabled_chat_bot: "If enabled, users can select this model when creating PMs with the AI bot"
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providers:
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aws_bedrock: "AWS Bedrock"
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anthropic: "Anthropic"
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vllm: "vLLM"
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hugging_face: "Hugging Face"
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cohere: "Cohere"
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open_ai: "OpenAI"
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google: "Google"
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azure: "Azure"
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ollama: "Ollama"
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CDCK: "CDCK"
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samba_nova: "SambaNova"
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mistral: "Mistral"
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fake: "Custom"
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provider_fields:
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access_key_id: "AWS Bedrock access key ID"
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region: "AWS Bedrock region"
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organization: "Optional OpenAI organization ID"
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disable_system_prompt: "Disable system message in prompts"
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enable_native_tool: "Enable native tool support"
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disable_native_tools: "Disable native tool support (use XML based tools)"
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related_topics:
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title: "Related topics"
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pill: "Related"
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ai_helper:
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title: "Suggest changes using AI"
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description: "Choose one of the options below, and the AI will suggest you a new version of the text."
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selection_hint: "Hint: You can also select a portion of the text before opening the helper to rewrite only that."
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suggest: "Suggest with AI"
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suggest_errors:
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too_many_tags:
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one: "You can only have up to %{count} tag"
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other: "You can only have up to %{count} tags"
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no_suggestions: "No suggestions available"
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missing_content: "Please enter some content to generate suggestions."
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context_menu:
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trigger: "Ask AI"
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loading: "AI is generating"
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cancel: "Cancel"
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regen: "Try Again"
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confirm: "Confirm"
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discard: "Discard"
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changes: "Suggested edits"
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custom_prompt:
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title: "Custom prompt"
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placeholder: "Enter a custom prompt..."
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submit: "Send prompt"
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translate_prompt: "Translate to %{language}"
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post_options_menu:
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trigger: "Ask AI"
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title: "Ask AI"
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loading: "AI is generating"
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close: "Close"
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copy: "Copy"
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copied: "Copied!"
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cancel: "Cancel"
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insert_footnote: "Add footnote"
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footnote_credits: "Explanation by AI"
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fast_edit:
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suggest_button: "Suggest edit"
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thumbnail_suggestions:
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title: "Suggested thumbnails"
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select: "Select"
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selected: "Selected"
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image_caption:
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button_label: "Caption with AI"
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generating: "Generating caption..."
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credits: "Captioned by AI"
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save_caption: "Save"
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automatic_caption_setting: "Enable auto caption"
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automatic_caption_loading: "Captioning images..."
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automatic_caption_dialog:
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prompt: "This post contains non-captioned images. Would you like to enable automatic auto captions on image uploads? (This can be changed in your preferences later)"
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confirm: "Enable"
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cancel: "Don't ask again"
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no_content_error: "Add content first to perform AI actions on it"
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reviewables:
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model_used: "Model used:"
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accuracy: "Accuracy:"
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embeddings:
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semantic_search: "Topics (Semantic)"
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semantic_search_loading: "Searching for more results using AI"
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semantic_search_results:
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toggle: "Showing %{count} results found using AI"
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toggle_hidden: "Hiding %{count} results found using AI"
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none: "Sorry, our AI search found no matching topics"
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new: "Press 'search' to begin looking for new results with AI"
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ai_generated_result: "Search result found using AI"
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quick_search:
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suffix: "in all topics and posts with AI"
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ai_artifact:
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expand_view_label: "Expand view"
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collapse_view_label: "Exit Fullscreen (ESC)"
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click_to_run_label: "Run Artifact"
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ai_bot:
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pm_warning: "AI chatbot messages are monitored regularly by moderators."
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cancel_streaming: "Stop reply"
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default_pm_prefix: "[Untitled AI bot PM]"
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shortcut_title: "Start a PM with an AI bot"
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share: "Copy AI conversation"
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conversation_shared: "Conversation copied"
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debug_ai: "View raw AI request and response"
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debug_ai_modal:
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title: "View AI interaction"
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copy_request: "Copy request"
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copy_response: "Copy response"
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request_tokens: "Request tokens:"
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response_tokens: "Response tokens:"
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request: "Request"
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response: "Response"
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next_log: "Next"
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previous_log: "Previous"
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share_full_topic_modal:
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title: "Share conversation publicly"
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share: "Share and copy link"
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update: "Update and copy link"
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delete: "Delete share"
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share_ai_conversation:
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name: "Share AI conversation"
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title: "Share this AI conversation publicly"
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ai_label: "AI"
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ai_title: "Conversation with AI"
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share_modal:
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title: "Copy AI conversation"
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copy: "Copy"
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context: "Interactions to share:"
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share_tip: "Alternatively, you can share the entire conversation"
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bot_names:
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fake: "Fake Test Bot"
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claude-3-opus: "Claude 3 Opus"
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claude-3-sonnet: "Claude 3 Sonnet"
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|
claude-3-haiku: "Claude 3 Haiku"
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|
cohere-command-r-plus: "Cohere Command R Plus"
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|
gpt-4: "GPT-4"
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|
gpt-4-turbo: "GPT-4 Turbo"
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|
gpt-4o: "GPT-4 Omni"
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|
gpt-3:
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|
5-turbo: "GPT-3.5"
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|
claude-2: "Claude 2"
|
|
gemini-1:
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|
5-pro: "Gemini"
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|
mixtral-8x7B-Instruct-V0:
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|
"1": "Mixtral-8x7B V0.1"
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|
sentiments:
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|
dashboard:
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|
title: "Sentiment"
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|
|
|
summarization:
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|
chat:
|
|
title: "Summarize messages"
|
|
description: "Select an option below to summarize the conversation sent during the desired timeframe."
|
|
summarize: "Summarize"
|
|
since:
|
|
one: "Last hour"
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|
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"
|