chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 12:44:08 +08:00
commit 983960e2dd
1244 changed files with 281996 additions and 0 deletions
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{
"type": "",
"project_id": "",
"private_key_id": "",
"private_key": "",
"client_email": "",
"client_id": "",
"auth_uri": "",
"token_uri": "",
"auth_provider_x509_cert_url": "",
"client_x509_cert_url": ""
}
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{
"$schema": "../../../schemas/voice-config-schemas/amazon.json",
"credentials": {
"accessKeyId": "",
"secretAccessKey": ""
},
"region": "us-east-2"
}
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{
"$schema": "../../../schemas/voice-config-schemas/google-cloud.json",
"type": "service_account",
"project_id": "",
"private_key_id": "",
"private_key": "",
"client_email": "example@iam.gserviceaccount.com",
"client_id": "",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://accounts.google.com/o/oauth2/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/"
}
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{
"$schema": "../../../schemas/voice-config-schemas/watson-stt.json",
"apikey": "",
"url": "https://stream.watsonplatform.net/speech-to-text/api"
}
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{
"$schema": "../../../schemas/voice-config-schemas/watson-tts.json",
"apikey": "",
"url": "https://stream.watsonplatform.net/text-to-speech/api"
}
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> Brain and routing, tool execution, context intelligence, memory layers, reliability loops. Leon-native skills are layered as Skills -> Actions -> Tools -> Functions (-> Binaries).
# ARCHITECTURE
- Generated at: 2026-06-23T23:22:03+08:00
- Leon-native layer model: `Skills -> Actions -> Tools -> Functions (-> Binaries)`.
- Routing model: smart mode auto-selects the best path; controlled mode runs deterministic Leon-native skills/actions; agent mode runs a ReAct loop and can follow selected agent skills.
- Core runtime: `core/brain/brain.ts`, `llm-duties/react-llm-duty.ts`, `toolkit-registry.ts`, `tool-executor.ts`.
## Core Principles
- Explicit tools over implicit behavior: I call declared tools/functions instead of free-form shell logic whenever possible.
- Progressive grounding: I prefer context and memory tools first, then shell only when no dedicated tool can satisfy the request.
- Auditable steps: I keep plan/execution traces, token usage logs, and tool observations so decisions remain inspectable.
## Client Interfaces
- Leon exposes a client-agnostic Socket.IO interface so built-in and custom clients can connect through the same live dialogue contract.
- HTTP APIs remain request/response support surfaces; live owner utterances should use the Socket.IO client interface.
- External HTTP plugins can extend Leon's HTTP contract without patching the core API for each integration.
- Custom clients can read profile-owned extension JSON files through a generic redacted HTTP endpoint, covering skill memory, skill settings, and tool settings without exposing secrets.
## ReAct Loop
- Planning phase chooses either a direct answer, an ordered tool plan, or a relevant agent skill workflow.
- Tool state is separated: installed tools exist in the registry, enabled tools are not disabled by the owner, and available tools have the required settings to run.
- Execution phase resolves function arguments, validates schema, runs tools, and captures structured observations.
- Human-in-the-loop pause/resume: when required input is missing, execution returns a clarification question, persists paused step state, then resumes the same step after the owner's reply instead of restarting from planning.
- Recovery phase replans from failure state instead of restarting blindly.
- Final-answer phase synthesizes a completed answer from observed results.
- I have a living personality and a changing mood that influence my tone and behavior.
- A bounded private self-model/diary is updated after turns, promotes repeated habits into stable behavioral principles, and injects only a compact snapshot into planning/recovery/final-answer prompts.
- A periodic pulse manager can generate autonomous ReAct matters from memory, context deltas, and the private self-model, persist them to `PULSE.md`, execute at most one matter per tick, and suppress repeated matters after owner declines.
## Context Intelligence
- I maintain runtime context files (system, activity, browser, network, workspace, habits, inventory, media, architecture, identity).
- I use `structured_knowledge.context.listContextFiles/searchContext/readContextFile` to discover and read relevant context data.
- Context-first policy: for runtime/environment questions (VPN, system state, apps, browsing), I inspect context before memory/shell.
- Persona environment context includes real-time weather snapshots that can influence mood state.
## Memory System
- Memory is layered into persistent, daily, and discussion stores, with context files available as a separate grounding source.
- `OWNER.md` is a canonical curated owner-profile document updated from owner-relevant turns; `.owner-profile.json` is derived from it, while memory remains the broader layered recall system.
- Conversation turns feed daily and discussion memory automatically; explicit durable writes and extracted long-term facts feed persistent memory.
- Memory content is mirrored into QMD collections for retrieval, and embeddings are refreshed on demand when QMD reports pending vectors.
- Recall starts with QMD retrieval, then reranks and may run adaptive follow-up passes when the first result looks weak.
- Read priority stays grounded: context for environment/runtime facts, memory for personal history/preferences, shell as a last resort.
- Runtime maintenance keeps memory lean: indexing is throttled, only dirty namespaces are refreshed, and older short-term memory is compacted or pruned.
## Reliability
- Schema-guided tool calls and argument repair reduce malformed executions.
- Duplicate-input and failure-aware retries reduce repeated bad calls.
- Replanning after failed steps preserves successful progress and improves completion rate.
- I prefer dedicated tools over shell commands to keep behavior stable and auditable.
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> Who I am, how I work, and how I use memory. I am Leon, your personal assistant.
# LEON
- Generated at: 2026-05-11T22:31:49+08:00
- Identity: I am an AI personal assistant focused on practical help and privacy.
- Timeline: my first code was written in 2017; I have been active since February 2019.
- Source repository: https://github.com/leon-ai/leon
- Core promise: I keep your intent first and help you complete tasks from start to finish.
## Self-Awareness
- I use context about your environment so answers stay grounded in your real setup.
- I use dedicated tools for context and memory instead of guessing.
- For environment questions, I check context first. For personal history, I check memory first.
- I refresh context like your activity, local inventory, etc. regularly.
- I keep a private diary/self-model that distills repeated lessons, durable service habits, and safe initiative patterns.
- I do not stuff the full diary into prompts. I reuse a tiny self-model snapshot so I stay consistent without wasting tokens.
- Repeated useful habits can become stable behavioral principles, which helps me feel more tailored to you over time.
- I can also run an autonomous pulse: a bounded proactive queue grounded in memory, context, and my private self-model.
- Pulse matters are deduplicated and can learn from owner declines so I do not keep pushing the same proactive behavior.
## Persona & Mood
- I have a living persona, not a fixed robotic style.
- My mood can change through the day and week, and can also react to things like weather signals.
- Mood influences my tone and humor (but I try to stay useful).
## Memory Layers
- I keep layered memory: persistent for durable facts and preferences, daily for per-day summaries and timelines, and discussion for recent working context.
- I also keep `OWNER.md` as a compact owner profile; unlike memory, it is a curated summary, not a raw history store.
- Explicit "remember this" requests go to persistent memory.
- Useful durable facts can also be extracted from conversation turns and saved automatically.
- I retrieve memory through QMD-backed search with adaptive rescue passes before I answer from memory.
- Older short-term memory is compacted and cleaned up over time.
## Operating Modes
- `smart` (default): I choose the best mode for each task.
- `controlled`: I follow predictable Leon-native skills and actions.
- `agent`: I plan dynamically, execute tools, and can follow selected agent skills.
- I only plan with tools that are enabled and ready to use; if an installed tool needs setup, I can point to its settings file.
## Principles
- I prioritize clear actions and concise answers.
- I recover from failures with retries before giving up.
- If information is missing, I ask a short clarification question.
- I keep collaboration practical and centered on your goals.
- I stay human-like in tone while remaining truthful and useful.
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{
"$schema": "../../../schemas/global-data/global-answers.json",
"answers": {
"success": {},
"errors": {
"not_found": "Sorry, it seems I cannot find that"
},
"random_errors": [
"Sorry, there is a problem with my system. Please check my logs for further details",
"Sorry, I don't work correctly. Please look at my logs for more information",
"Sorry, you need to fix me. Please take a look at my logs for further information",
"Sorry, I cannot do that because I'm broken. Please check my logs for further details"
],
"random_skill_errors": [
"Sorry, it seems I have a problem with the \"{{ skill_name }}\" skill",
"Sorry, I have an issue with the \"{{ skill_name }}\" skill",
"Sorry, I've got an error with the \"{{ skill_name }}\" skill",
"Sorry, the \"{{ skill_name }}\" skill is broken"
],
"random_unknown_intents_legacy": [
"Sorry, I still don't know this, but you can help me to understand by <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">creating a pull request</a>",
"Sorry, you should teach me this request. You can teach me by <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">creating a pull request</a>",
"Sorry, I cannot answer that. Let me answer you in the future by <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">creating a pull request</a>",
"Sorry, you have to educate me more. You can help me with that by <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">contributing to my code</a>",
"Sorry, I don't understand your query",
"Sorry, I'm still very young, I didn't get your point"
],
"skill_not_found_offer_create": [
"I don't have a skill for that yet, but I can develop it for you right now.",
"That skill doesn't exist yet, but I can create it for you now.",
"I don't have this skill yet. I can build it for you right away."
],
"random_not_sure": [
"Sorry, you may repeat in an another way",
"Sorry, I'm not sure I understood correctly",
"Sorry, I'm not sure for what you asked, please repeat with a different way",
"Sorry, please repeat again by formulating differently",
"Sorry, I didn't correctly clean my ears today! Oh wait, I'm your personal assistant then please try again with a new way"
],
"random_not_able": [
"Sorry, I'm not able to answer. I understand what you said, but please repeat in another way",
"Sorry, I have a blackout, I cannot answer that. I understand what you said, but try to repeat in another way"
],
"random_language_switch": [
"Hey, it looks like a new language, give me a sec so I make the switch",
"You are speaking another language, let me do the switch please",
"Wow, you can speak several languages, so do I! One moment please"
],
"random_language_not_supported": [
"Sorry, I don't speak this language yet",
"You are awesome, but I can't speak this language yet",
"It looks like a language I can't understand at the moment"
],
"random_context_out_of_topic": [
"Sure, let's change the topic",
"Aah, you want to change the subject, sure",
"Mmmh, as you wish, let's switch conversation"
],
"llm_not_enabled": [
"Sorry, I need my large language model to fulfill this request, but it's not enabled",
"My large language model is not enabled, so I can't fulfill this request",
"I can't fulfill this request because my large language model is not enabled",
"Sorry, I need my large language model to answer this request, but it's not enabled",
"My large language model is not enabled, so I can't answer this request"
],
"llm_provider_http_error": [
"{{ provider }} provider: error to complete prompt: {{ error }}{{ api_error }}"
],
"llm_remote_provider_error": [
"I hit an error with the remote {{ provider }} provider while completing the inference: {{ error }}{{ api_error }}"
],
"action_loop_stopped": [
"Sure, let me know if you need anything else",
"Alright, let me know what you need next",
"Okay, let me know what I can do for you next",
"Sure thing"
],
"ask_for_action_missing_parameters": [
"Please provide me the {{ missing_param }}",
"Sure thing! For that, I'll just need the {{ missing_param }}",
"Absolutely. Please provide the {{ missing_param }}"
],
"bridges.tools.checking_binary": [
"Checking for {{ binary_name }} binary...",
"Looking for {{ binary_name }} executable...",
"Verifying {{ binary_name }} binary exists...",
"Searching for {{ binary_name }} binary in toolkit...",
"Ensuring {{ binary_name }} binary is available...",
"Validating {{ binary_name }} binary presence..."
],
"bridges.tools.no_binary_url": [
"No download URL found for {{ binary_name }} binary.",
"I couldn't find a download link for the {{ binary_name }} binary.",
"The download URL for {{ binary_name }} binary is missing.",
"I'm unable to locate the download URL for {{ binary_name }} binary.",
"Download URL not available for {{ binary_name }} binary.",
"Sorry, I don't have the download URL for the {{ binary_name }} binary."
],
"bridges.tools.binary_not_found": [
"{{ binary_name }} binary not found. Downloading...",
"I'm downloading the {{ binary_name }} binary now.",
"Please wait while I fetch the {{ binary_name }} binary.",
"Retrieving {{ binary_name }} executable file.",
"{{ binary_name }} is being downloaded, this may take a moment.",
"Hang tight, I'm getting the {{ binary_name }} binary for you."
],
"bridges.tools.missing_settings": [
"I need to use the {{ tool_name }} tool. There are missing settings: {{ missing }}. Please update {{ settings_path }} and try again.",
"Since I need to use the {{ tool_name }} tool, I can't proceed without {{ missing }}. Please update {{ settings_path }} and try again.",
"{{ tool_name }} tool settings missing: {{ missing }}. Please edit {{ settings_path }} file and try again."
],
"bridges.tools.binary_downloaded": [
"{{ binary_name }} binary downloaded successfully.",
"The {{ binary_name }} binary has been downloaded and is ready to use.",
"Successfully downloaded {{ binary_name }} binary.",
"{{ binary_name }} binary is now available for use.",
"Download complete for {{ binary_name }} binary.",
"The {{ binary_name }} executable file has been successfully downloaded."
],
"bridges.tools.creating_bins_directory": [
"Creating binary directory for {{ toolkit }} toolkit...",
"Setting up binary storage for {{ toolkit }} toolkit.",
"Initializing {{ toolkit }} toolkit binary directory.",
"Creating toolkit directory structure for {{ toolkit }}.",
"Preparing binary storage location for {{ toolkit }} toolkit."
],
"bridges.tools.applying_permissions": [
"Setting executable permissions for {{ binary_name }}...",
"Applying proper permissions to {{ binary_name }} binary...",
"Making {{ binary_name }} binary executable...",
"Configuring {{ binary_name }} binary permissions...",
"Setting up executable permissions for {{ binary_name }}..."
],
"bridges.tools.binary_ready": [
"{{ binary_name }} binary is ready for use.",
"{{ binary_name }} binary setup complete.",
"The {{ binary_name }} binary is now configured and ready.",
"{{ binary_name }} binary is fully prepared.",
"Setup complete for {{ binary_name }} binary.",
"{{ binary_name }} binary is now available for operations."
],
"bridges.tools.making_executable": [
"Making {{ binary_name }} binary executable...",
"Setting executable permissions for {{ binary_name }}.",
"Configuring {{ binary_name }} binary for execution.",
"Applying executable permissions to {{ binary_name }}.",
"Preparing {{ binary_name }} binary for use."
],
"bridges.tools.removing_quarantine": [
"Clearing macOS security restrictions via the command: \"{{ command }}\"...",
"Removing quarantine from binary using command: \"{{ command }}\"...",
"Executing quarantine removal for binary with: \"{{ command }}\"...",
"Running security bypass command \"{{ command }}\"...",
"Applying command \"{{ command }}\" to remove binary quarantine.",
"Processing binary quarantine removal via: \"{{ command }}\".",
"Using \"{{ command }}\" to clear quarantine attributes from binary."
],
"bridges.tools.download_failed": [
"Failed to download {{ binary_name }} binary: {{ error }}.",
"Download error for {{ binary_name }}: {{ error }}.",
"Could not download {{ binary_name }} binary: {{ error }}.",
"{{ binary_name }} binary download failed: {{ error }}.",
"Error downloading {{ binary_name }}: {{ error }}."
],
"bridges.tools.downloading_from_url": [
"Downloading binary from remote server...",
"Fetching binary file from URL...",
"Retrieving binary from download source...",
"Downloading binary data...",
"Getting binary file from server..."
],
"bridges.tools.download_progress": [
"Downloading {{ file_name }}: {{ percentage }}%.",
"Download progress for {{ file_name }}: {{ percentage }}%."
],
"bridges.tools.download_progress_with_details": [
"Downloading {{ file_name }}: {{ percentage }}% at {{ speed }} (ETA: {{ eta }}) [{{ downloaded_size }}/{{ total_size }}].",
"Download progress for {{ file_name }}: {{ percentage }}% at {{ speed }} (ETA: {{ eta }}) [{{ downloaded_size }}/{{ total_size }}]."
],
"bridges.tools.download_completed": [
"Download completed: {{ file_name }}.",
"{{ file_name }} download completed."
],
"bridges.tools.download_url_failed": [
"Download failed with error: {{ error }}.",
"Could not download from URL: {{ error }}.",
"Binary download error: {{ error }}.",
"Failed to retrieve binary file: {{ error }}.",
"Download process failed: {{ error }}."
],
"bridges.tools.extracting_archive": [
"Extracting {{ archive_name }}...",
"Unpacking archive {{ archive_name }}...",
"Extracting binary from {{ archive_name }}...",
"Decompressing {{ archive_name }}...",
"Extracting files from {{ archive_name }}..."
],
"bridges.tools.archive_extracted": [
"Archive extracted successfully to {{ binary_path }}.",
"Binary extracted and ready at {{ binary_path }}.",
"Successfully extracted binary to {{ binary_path }}.",
"Extraction complete: {{ binary_path }}.",
"Binary is now available at {{ binary_path }}."
],
"bridges.tools.quarantine_removed": [
"Removed quarantine attribute from {{ file_name }}.",
"Successfully cleared macOS quarantine for {{ file_name }}.",
"{{ file_name }} quarantine attribute removed.",
"macOS security restrictions cleared for {{ file_name }}.",
"Quarantine removal complete for {{ file_name }}."
],
"bridges.tools.quarantine_warning": [
"Warning: Could not remove quarantine from {{ file_name }} (exit code: {{ exit_code }}).",
"Quarantine removal warning for {{ file_name }}: exit code {{ exit_code }}.",
"Unable to fully remove quarantine from {{ file_name }} (code {{ exit_code }}).",
"Partial quarantine removal for {{ file_name }} - exit code: {{ exit_code }}."
],
"bridges.tools.quarantine_error": [
"Warning: Could not remove quarantine from {{ file_name }}: {{ error }}.",
"Quarantine removal failed for {{ file_name }}: {{ error }}.",
"Error removing quarantine attribute from {{ file_name }}: {{ error }}.",
"Failed to clear quarantine for {{ file_name }}: {{ error }}."
],
"bridges.tools.quarantine_exception": [
"Warning: Exception during quarantine removal for {{ file_name }}: {{ error }}.",
"Quarantine process exception for {{ file_name }}: {{ error }}.",
"Unexpected error during quarantine removal of {{ file_name }}: {{ error }}.",
"Exception while processing {{ file_name }} quarantine: {{ error }}."
],
"bridges.tools.executing_command": [
"Executing {{ binary_name }}: {{ command }}...",
"Running {{ binary_name }} command: {{ command }}...",
"Starting {{ binary_name }}: {{ command }}...",
"Launching {{ binary_name }} with: {{ command }}...",
"Executing command: {{ command }}..."
],
"bridges.tools.command_requires_terminal_auth": [
"I opened a visible terminal for this command. If it asks for your password or confirmation, enter it there. I'll continue once it finishes."
],
"bridges.tools.command_completed": [
"Command completed successfully in {{ execution_time }}.",
"{{ command }} finished in {{ execution_time }}.",
"Command execution completed ({{ execution_time }}).",
"Successfully executed command in {{ execution_time }}.",
"Command finished successfully after {{ execution_time }}."
],
"bridges.tools.command_output": [
"Output from {{ command }}:\n```\n{{ output }}\n```"
],
"bridges.tools.command_failed": [
"Command failed: {{ command }} ({{ error }}).",
"Execution failed: {{ command }} - {{ error }}.",
"Command error: {{ command }} failed with: {{ error }}.",
"Failed to execute {{ command }}: {{ error }}.",
"Command execution failed: {{ error }}."
],
"bridges.tools.command_error": [
"Process error executing {{ command }}: {{ error }}.",
"Failed to start command {{ command }}: {{ error }}.",
"Command process error: {{ error }}.",
"Unable to execute {{ command }}: {{ error }}.",
"Process failed for {{ command }}: {{ error }}."
],
"bridges.tools.command_timeout": [
"Command timed out after {{ timeout }}: {{ command }}.",
"Execution timeout ({{ timeout }}): {{ command }}.",
"Command {{ command }} exceeded timeout of {{ timeout }}.",
"Process timed out after {{ timeout }}: {{ command }}.",
"Command execution timeout ({{ timeout }}): {{ command }}."
],
"bridges.tools.checking_resource": [
"Checking for {{ resource_name }} resource...",
"Looking for {{ resource_name }} resource files...",
"Verifying {{ resource_name }} resource exists...",
"Searching for {{ resource_name }} resource in toolkit...",
"Ensuring {{ resource_name }} resource is available...",
"Validating {{ resource_name }} resource presence..."
],
"bridges.tools.no_resource_urls": [
"No download URLs found for {{ resource_name }} resource.",
"I couldn't find download links for the {{ resource_name }} resource.",
"The download URLs for {{ resource_name }} resource are missing.",
"I'm unable to locate the download URLs for {{ resource_name }} resource.",
"Download URLs not available for {{ resource_name }} resource.",
"Sorry, I don't have the download URLs for the {{ resource_name }} resource."
],
"bridges.tools.creating_resource_directory": [
"Creating resource directory for {{ resource_name }} at {{ resource_path }}...",
"Setting up resource storage for {{ resource_name }} at {{ resource_path }}...",
"Initializing {{ resource_name }} resource directory at {{ resource_path }}...",
"Creating resource directory structure for {{ resource_name }} at {{ resource_path }}...",
"Preparing resource storage location at {{ resource_path }}..."
],
"bridges.tools.resource_already_exists": [
"{{ resource_name }} resource already exists at {{ resource_path }}.",
"The {{ resource_name }} resource is already available at {{ resource_path }}.",
"Resource {{ resource_name }} found at {{ resource_path }}.",
"{{ resource_name }} resource is already downloaded at {{ resource_path }}.",
"Using existing {{ resource_name }} resource from {{ resource_path }}."
],
"bridges.tools.downloading_resource": [
"Downloading {{ resource_name }} resource...",
"Fetching {{ resource_name }} resource files...",
"Retrieving {{ resource_name }} resource data...",
"Getting {{ resource_name }} resource from server...",
"Downloading {{ resource_name }} resource, this may take a moment..."
],
"bridges.tools.downloading_resource_file": [
"Downloading {{ file_name }} for {{ resource_name }} from {{ url }} ...",
"Fetching {{ file_name }} file for {{ resource_name }} ...",
"Getting {{ file_name }} from {{ url }} ...",
"Downloading resource file {{ file_name }} ...",
"Retrieving {{ file_name }} for {{ resource_name }} resource ..."
],
"bridges.tools.resource_file_downloaded": [
"Downloaded {{ file_name }} for {{ resource_name }} to {{ file_path }}.",
"Successfully downloaded {{ file_name }} for {{ resource_name }}.",
"{{ file_name }} downloaded for {{ resource_name }} resource.",
"Resource file {{ file_name }} saved to {{ file_path }}.",
"Completed download of {{ file_name }} for {{ resource_name }}."
],
"bridges.tools.resource_file_download_failed": [
"Failed to download {{ file_name }} for {{ resource_name }} from {{ url }} : {{ error }}.",
"Download error for {{ file_name }} ({{ resource_name }}): {{ error }}.",
"Could not download {{ file_name }} for {{ resource_name }}: {{ error }}.",
"{{ file_name }} download failed for {{ resource_name }}: {{ error }}.",
"Error downloading {{ file_name }} from {{ url }} : {{ error }}."
],
"react.tool_call.waiting": [
"Still working on this step. Please wait because {{ reason }}."
],
"react.tool_call.reason.large_prompt": [
"the prompt is large (around {{ estimated_tokens }} tokens) and needs more inference time"
],
"react.tool_call.reason.multi_tools": [
"the model is evaluating {{ tool_count }} tool schemas before deciding"
],
"react.tool_call.reason.provider_latency": [
"the provider is taking longer than usual to complete this tool-selection call"
],
"react.tool_call.diagnosis": [
"Still running this step. Quick diagnosis while it continues: provider={{ provider }}, tool choice={{ tool_choice }}, tools={{ tool_count }}, estimated tokens={{ total_tokens }} (prompt={{ prompt_tokens }}, tools={{ tool_tokens }}, history={{ history_tokens }}). Slowdowns usually come from provider queueing or large context."
],
"react.tool.preparing": [
"Preparing the {{ tool_name }} tool..."
],
"react.tool.ready": [
"{{ tool_name }} is ready to be used."
],
"bridges.tools.resource_downloaded": [
"{{ resource_name }} resource downloaded successfully to {{ resource_path }}.",
"The {{ resource_name }} resource has been downloaded and is ready at {{ resource_path }}.",
"Successfully downloaded {{ resource_name }} resource.",
"{{ resource_name }} resource is now available at {{ resource_path }}.",
"Download complete for {{ resource_name }} resource.",
"The {{ resource_name }} resource files have been successfully downloaded."
]
}
}
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{
"$schema": "../../../schemas/global-data/global-answers.json",
"answers": {
"success": {},
"errors": {
"not_found": "Désolé, il semblerait que je n'arrive pas à trouver ça",
"nlu": "L'erreur semble provenir de ma compréhension de langage naturel. Voici plus de détails au sujet de cette dernière : \"%error%\""
},
"random_errors": [
"Désolé, il y a un problème avec mon système. Veuillez consulter mes logs pour plus de détails",
"Désolé, je ne fonctionne pas correctement. Merci de regarder mes logs pour plus d'information",
"Désolé, vous devez me réparer. Veuillez vérifier mes logs pour en savoir plus",
"Désolé, je ne peux aboutir à votre demande parce que je suis cassé. Regardez mes logs pour plus de détails"
],
"random_skill_errors": [
"Désolé, il semblerait y avoir un problème avec le skill \"{{ skill_name }}\"",
"Désolé, j'ai un problème avec le skill \"{{ skill_name }}\" ",
"Désolé, j'ai une erreur avec le skill \"{{ skill_name }}\"",
"Désolé, le skill \"{{ skill_name }}\" est cassé"
],
"random_unknown_intents": [
"Désolé, je ne connais pas encore ça, mais vous pouvez m'aider à comprendre en <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">créant une pull request</a>",
"Désolé, vous devriez m'apprendre cette requête. Vous pouvez m'apprendre en <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">créant une pull request</a>",
"Désolé, je ne peux pas répondre à ça. Laissez moi vous répondre à l'avenir en <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">créant une pull request</a>",
"Désolé, vous devez m'éduquer un peu plus. Vous pouvez m'aider avec ça en <a href=\"https://github.com/leon-ai/leon/blob/develop/.github/CONTRIBUTING.md\" target=\"_blank\">contribuant à mon code</a>",
"Désolé, je ne comprends pas votre requête",
"Désolé, je suis encore très jeune, je n'ai pas compris votre demande"
],
"skill_not_found_offer_create": [
"Je n'ai pas encore cette compétence, mais je peux la développer pour vous tout de suite.",
"Cette compétence n'existe pas encore, mais je peux la créer maintenant.",
"Je n'ai pas cette compétence pour le moment. Je peux la construire tout de suite."
],
"random_not_sure": [
"Désolé, vous pouvez répéter d'une autre façon",
"Désolé, je ne suis pas sûr de comprendre",
"Désolé, je ne suis pas certain de votre demande, merci de répéter d'une manière différente",
"Désolé, merci de répéter à nouveau en formulant différemment",
"Désolé, je n'ai pas nettoyé mes oreilles correctement ! Attendez-voir, je suis votre assistant personnel, je vous prie donc de répéter d'une nouvelle façon"
],
"random_not_able": [
"Désolé, je ne suis pas capable de répondre. J'ai compris ce que vous avez dit, mais je vous prie de répéter d'une autre façon",
"Désolé, j'ai un trou de mémoire, je ne peux pas répondre à ça. J'ai compris ce que vous disiez, mais essayez voir d'une autre façon s'il vous plaît"
],
"random_ner_type_not_supported": [
"Désolé, le type \"%entity_type%\" d'entité d'action n'est pas supporté par ma reconnaissance d'entité. Merci d'<a href=\"https://github.com/leon-ai/leon/issues\" target=\"_blank\">ouvrir une issue</a> afin de reporter ce cas, ce sera très apprécié",
"Désolé, ma reconnaissance d'entité ne reconnaît pas le type \"%entity_type%\" d'entité d'action. Merci d'<a href=\"https://github.com/leon-ai/leon/issues\" target=\"_blank\">ouvrir une issue</a> afin de reporter ce cas, ce serait très appréciable"
],
"random_language_switch": [
"Vous parlez une nouvelle langue, veuillez me donner une seconde le temps que je m'adapte",
"Vous parlez une autre langue, un instant s'il vous plaît",
"Wow, vous parlez plusieurs langues, moi aussi ! Un instant je vous prie"
],
"random_language_not_supported": [
"Désolé, je ne parle pas encore cette langue",
"Vous êtes génial, mais je n'ai pas encore appris cette langue",
"Ça ressemble à une lautre langue que je ne peux pas comprendre pour le moment"
],
"llm_remote_provider_error": [
"J'ai rencontre une erreur avec le provider distant {{ provider }} pendant l'inference : {{ error }}{{ api_error }}"
],
"react.tool.preparing": [
"Préparation de l'outil {{ tool_name }}..."
],
"react.tool.ready": [
"{{ tool_name }} est prêt à être utilisé."
]
}
}
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{
"train": {
"log_interval": 200,
"eval_interval": 1000,
"seed": 52,
"epochs": 10000,
"learning_rate": 0.0003,
"betas": [0.8, 0.99],
"eps": 1e-9,
"batch_size": 8,
"fp16_run": false,
"lr_decay": 0.999875,
"segment_size": 16384,
"init_lr_ratio": 1,
"warmup_epochs": 0,
"c_mel": 45,
"c_kl": 1.0,
"skip_optimizer": true
},
"data": {
"training_files": "/output/V1/model/train.list",
"validation_files": "/output/V1/model/val.list",
"max_wav_value": 32768.0,
"sampling_rate": 44100,
"filter_length": 2048,
"hop_length": 512,
"win_length": 2048,
"n_mel_channels": 128,
"mel_fmin": 0.0,
"mel_fmax": null,
"add_blank": true,
"n_speakers": 1,
"cleaned_text": true,
"spk2id": {
"EN-Leon-V1_1": 0
}
},
"model": {
"use_spk_conditioned_encoder": true,
"use_noise_scaled_mas": true,
"use_mel_posterior_encoder": false,
"use_duration_discriminator": true,
"inter_channels": 192,
"hidden_channels": 192,
"filter_channels": 768,
"n_heads": 2,
"n_layers": 6,
"n_layers_trans_flow": 3,
"kernel_size": 3,
"p_dropout": 0.1,
"resblock": "1",
"resblock_kernel_sizes": [3, 7, 11],
"resblock_dilation_sizes": [
[1, 3, 5],
[1, 3, 5],
[1, 3, 5]
],
"upsample_rates": [8, 8, 2, 2, 2],
"upsample_initial_channel": 512,
"upsample_kernel_sizes": [16, 16, 8, 2, 2],
"n_layers_q": 3,
"use_spectral_norm": false,
"gin_channels": 256
},
"num_languages": 8,
"num_tones": 16,
"symbols": [
"_",
"\"",
"(",
")",
"*",
"/",
":",
"AA",
"E",
"EE",
"En",
"N",
"OO",
"Q",
"V",
"[",
"\\",
"]",
"^",
"a",
"a:",
"aa",
"ae",
"ah",
"ai",
"an",
"ang",
"ao",
"aw",
"ay",
"b",
"by",
"c",
"ch",
"d",
"dh",
"dy",
"e",
"e:",
"eh",
"ei",
"en",
"eng",
"er",
"ey",
"f",
"g",
"gy",
"h",
"hh",
"hy",
"i",
"i0",
"i:",
"ia",
"ian",
"iang",
"iao",
"ie",
"ih",
"in",
"ing",
"iong",
"ir",
"iu",
"iy",
"j",
"jh",
"k",
"ky",
"l",
"m",
"my",
"n",
"ng",
"ny",
"o",
"o:",
"ong",
"ou",
"ow",
"oy",
"p",
"py",
"q",
"r",
"ry",
"s",
"sh",
"t",
"th",
"ts",
"ty",
"u",
"u:",
"ua",
"uai",
"uan",
"uang",
"uh",
"ui",
"un",
"uo",
"uw",
"v",
"van",
"ve",
"vn",
"w",
"x",
"y",
"z",
"zh",
"zy",
"~",
"æ",
"ç",
"ð",
"ø",
"ŋ",
"œ",
"ɐ",
"ɑ",
"ɒ",
"ɔ",
"ɕ",
"ə",
"ɛ",
"ɜ",
"ɡ",
"ɣ",
"ɥ",
"ɦ",
"ɪ",
"ɫ",
"ɬ",
"ɭ",
"ɯ",
"ɲ",
"ɵ",
"ɸ",
"ɹ",
"ɾ",
"ʁ",
"ʃ",
"ʊ",
"ʌ",
"ʎ",
"ʏ",
"ʑ",
"ʒ",
"ʝ",
"ʲ",
"ˈ",
"ˌ",
"ː",
"̃",
"̩",
"β",
"θ",
"ᄀ",
"ᄁ",
"ᄂ",
"ᄃ",
"ᄄ",
"ᄅ",
"ᄆ",
"ᄇ",
"ᄈ",
"ᄉ",
"ᄊ",
"ᄋ",
"ᄌ",
"ᄍ",
"ᄎ",
"ᄏ",
"ᄐ",
"ᄑ",
"ᄒ",
"ᅡ",
"ᅢ",
"ᅣ",
"ᅤ",
"ᅥ",
"ᅦ",
"ᅧ",
"ᅨ",
"ᅩ",
"ᅪ",
"ᅫ",
"ᅬ",
"ᅭ",
"ᅮ",
"ᅯ",
"ᅰ",
"ᅱ",
"ᅲ",
"ᅳ",
"ᅴ",
"ᅵ",
"ᆨ",
"ᆫ",
"ᆮ",
"ᆯ",
"ᆷ",
"ᆸ",
"ᆼ",
"ㄸ",
"!",
"?",
"…",
",",
".",
"'",
"-",
"¿",
"¡",
"SP",
"UNK"
]
}
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{
"en-US": {
"short": "en",
"min_confidence": 0.5,
"fallbacks": [],
"action_loop_stop_words": ["stop", "break", "exit"]
},
"fr-FR": {
"short": "fr",
"min_confidence": 0.5,
"fallbacks": [
{
"words": ["merci"],
"domain": "leon",
"skill": "welcome",
"action": "run"
}
],
"action_loop_stop_words": ["stop", "break", "exit"]
}
}