resolve conflicts with main
This commit is contained in:
commit
eb20cea668
1
.gitignore
vendored
1
.gitignore
vendored
@ -3,6 +3,7 @@
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*.pyc
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dist/
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build/
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docs/
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*.egg-info/
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*.egg
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*.pyc
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28
README.md
28
README.md
@ -80,6 +80,14 @@ cd nanobot
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pip install -e .
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```
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**Install with uv**
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```bash
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uv venv
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source .venv/bin/activate
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uv pip install nanobot-ai
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```
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## 🚀 Quick Start
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> [!TIP]
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@ -327,7 +335,11 @@ nanobot/
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└── cli/ # 🖥️ Commands
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```
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## 🗺️ Roadmap
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## 🤝 Contribute & Roadmap
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PRs welcome! The codebase is intentionally small and readable. 🤗
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**Roadmap** — Pick an item and [open a PR](https://github.com/HKUDS/nanobot/pulls)!
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- [x] **Voice Transcription** — Support for Groq Whisper (Issue #13)
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- [ ] **Multi-modal** — See and hear (images, voice, video)
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@ -336,14 +348,16 @@ nanobot/
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- [ ] **More integrations** — Discord, Slack, email, calendar
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- [ ] **Self-improvement** — Learn from feedback and mistakes
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**Want to help?** Pick an item and [open a PR](https://github.com/HKUDS/nanobot/pulls)!
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### Contributors
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<a href="https://github.com/HKUDS/nanobot/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=HKUDS/nanobot" />
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</a>
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---
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## ⭐ Star History
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*Community Growth Trajectory*
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<div align="center">
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<a href="https://star-history.com/#HKUDS/nanobot&Date">
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<picture>
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@ -354,12 +368,6 @@ nanobot/
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</a>
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</div>
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---
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## 🤝 Contribute
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PRs welcome! The codebase is intentionally small and readable. 🤗
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<p align="center">
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<em> Thanks for visiting ✨ nanobot!</em><br><br>
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<img src="https://visitor-badge.laobi.icu/badge?page_id=HKUDS.nanobot&style=for-the-badge&color=00d4ff" alt="Views">
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@ -1,5 +1,7 @@
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"""Context builder for assembling agent prompts."""
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import base64
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import mimetypes
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from pathlib import Path
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from typing import Any
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@ -114,32 +116,53 @@ When remembering something, write to {workspace_path}/memory/MEMORY.md"""
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self,
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history: list[dict[str, Any]],
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current_message: str,
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skill_names: list[str] | None = None
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skill_names: list[str] | None = None,
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media: list[str] | None = None,
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) -> list[dict[str, Any]]:
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"""
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Build the complete message list for an LLM call.
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Args:
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history: Previous conversation messages.
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current_message: The new user message.
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skill_names: Optional skills to include.
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media: Optional list of local file paths for images/media.
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Returns:
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List of messages including system prompt.
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"""
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messages = []
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# System prompt
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system_prompt = self.build_system_prompt(skill_names)
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messages.append({"role": "system", "content": system_prompt})
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# History
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messages.extend(history)
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# Current message
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messages.append({"role": "user", "content": current_message})
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# Current message (with optional image attachments)
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user_content = self._build_user_content(current_message, media)
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messages.append({"role": "user", "content": user_content})
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return messages
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def _build_user_content(self, text: str, media: list[str] | None) -> str | list[dict[str, Any]]:
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"""Build user message content with optional base64-encoded images."""
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if not media:
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return text
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images = []
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for path in media:
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p = Path(path)
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mime, _ = mimetypes.guess_type(path)
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if not p.is_file() or not mime or not mime.startswith("image/"):
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continue
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b64 = base64.b64encode(p.read_bytes()).decode()
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images.append({"type": "image_url", "image_url": {"url": f"data:{mime};base64,{b64}"}})
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if not images:
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return text
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return images + [{"type": "text", "text": text}]
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def add_tool_result(
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self,
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@ -152,7 +152,8 @@ class AgentLoop:
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# Build initial messages (use get_history for LLM-formatted messages)
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messages = self.context.build_messages(
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history=session.get_history(),
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current_message=msg.content
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current_message=msg.content,
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media=msg.media if msg.media else None,
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)
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# Agent loop
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@ -189,7 +190,8 @@ class AgentLoop:
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# Execute tools
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for tool_call in response.tool_calls:
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logger.debug(f"Executing tool: {tool_call.name}")
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args_str = json.dumps(tool_call.arguments)
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logger.debug(f"Executing tool: {tool_call.name} with arguments: {args_str}")
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result = await self.tools.execute(tool_call.name, tool_call.arguments)
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messages = self.context.add_tool_result(
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messages, tool_call.id, tool_call.name, result
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@ -281,7 +283,8 @@ class AgentLoop:
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)
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for tool_call in response.tool_calls:
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logger.debug(f"Executing tool: {tool_call.name}")
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args_str = json.dumps(tool_call.arguments)
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logger.debug(f"Executing tool: {tool_call.name} with arguments: {args_str}")
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result = await self.tools.execute(tool_call.name, tool_call.arguments)
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messages = self.context.add_tool_result(
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messages, tool_call.id, tool_call.name, result
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@ -72,7 +72,14 @@ class BaseChannel(ABC):
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if not allow_list:
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return True
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return str(sender_id) in allow_list
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sender_str = str(sender_id)
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if sender_str in allow_list:
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return True
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if "|" in sender_str:
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for part in sender_str.split("|"):
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if part and part in allow_list:
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return True
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return False
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async def _handle_message(
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self,
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@ -199,8 +199,10 @@ class TelegramChannel(BaseChannel):
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user = update.effective_user
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chat_id = message.chat_id
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# Get sender identifier (prefer username, fallback to user_id)
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sender_id = str(user.username or user.id)
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# Use stable numeric ID, but keep username for allowlist compatibility
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sender_id = str(user.id)
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if user.username:
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sender_id = f"{sender_id}|{user.username}"
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# Store chat_id for replies
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self._chat_ids[sender_id] = chat_id
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@ -506,6 +506,7 @@ def cron_add(
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at: str = typer.Option(None, "--at", help="Run once at time (ISO format)"),
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deliver: bool = typer.Option(False, "--deliver", "-d", help="Deliver response to channel"),
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to: str = typer.Option(None, "--to", help="Recipient for delivery"),
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channel: str = typer.Option(None, "--channel", help="Channel for delivery (e.g. 'telegram', 'whatsapp')"),
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):
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"""Add a scheduled job."""
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from nanobot.config.loader import get_data_dir
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@ -534,6 +535,7 @@ def cron_add(
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message=message,
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deliver=deliver,
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to=to,
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channel=channel,
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)
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console.print(f"[green]✓[/green] Added job '{job.name}' ({job.id})")
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@ -624,11 +626,13 @@ def status():
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has_openrouter = bool(config.providers.openrouter.api_key)
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has_anthropic = bool(config.providers.anthropic.api_key)
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has_openai = bool(config.providers.openai.api_key)
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has_gemini = bool(config.providers.gemini.api_key)
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has_vllm = bool(config.providers.vllm.api_base)
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console.print(f"OpenRouter API: {'[green]✓[/green]' if has_openrouter else '[dim]not set[/dim]'}")
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console.print(f"Anthropic API: {'[green]✓[/green]' if has_anthropic else '[dim]not set[/dim]'}")
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console.print(f"OpenAI API: {'[green]✓[/green]' if has_openai else '[dim]not set[/dim]'}")
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console.print(f"Gemini API: {'[green]✓[/green]' if has_gemini else '[dim]not set[/dim]'}")
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vllm_status = f"[green]✓ {config.providers.vllm.api_base}[/green]" if has_vllm else "[dim]not set[/dim]"
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console.print(f"vLLM/Local: {vllm_status}")
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@ -51,7 +51,9 @@ class ProvidersConfig(BaseModel):
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openai: ProviderConfig = Field(default_factory=ProviderConfig)
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openrouter: ProviderConfig = Field(default_factory=ProviderConfig)
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groq: ProviderConfig = Field(default_factory=ProviderConfig)
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zhipu: ProviderConfig = Field(default_factory=ProviderConfig)
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vllm: ProviderConfig = Field(default_factory=ProviderConfig)
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gemini: ProviderConfig = Field(default_factory=ProviderConfig)
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class GatewayConfig(BaseModel):
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@ -90,20 +92,24 @@ class Config(BaseSettings):
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return Path(self.agents.defaults.workspace).expanduser()
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def get_api_key(self) -> str | None:
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"""Get API key in priority order: OpenRouter > Anthropic > OpenAI > Groq > vLLM."""
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"""Get API key in priority order: OpenRouter > Anthropic > OpenAI > Gemini > Zhipu > Groq > vLLM."""
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return (
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self.providers.openrouter.api_key or
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self.providers.anthropic.api_key or
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self.providers.openai.api_key or
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self.providers.gemini.api_key or
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self.providers.zhipu.api_key or
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self.providers.groq.api_key or
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self.providers.vllm.api_key or
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None
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)
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def get_api_base(self) -> str | None:
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"""Get API base URL if using OpenRouter or vLLM."""
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"""Get API base URL if using OpenRouter, Zhipu or vLLM."""
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if self.providers.openrouter.api_key:
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return self.providers.openrouter.api_base or "https://openrouter.ai/api/v1"
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if self.providers.zhipu.api_key:
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return self.providers.zhipu.api_base
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if self.providers.vllm.api_base:
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return self.providers.vllm.api_base
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return None
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@ -13,7 +13,7 @@ class LiteLLMProvider(LLMProvider):
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"""
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LLM provider using LiteLLM for multi-provider support.
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Supports OpenRouter, Anthropic, OpenAI, and many other providers through
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Supports OpenRouter, Anthropic, OpenAI, Gemini, and many other providers through
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a unified interface.
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"""
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@ -47,6 +47,10 @@ class LiteLLMProvider(LLMProvider):
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os.environ.setdefault("ANTHROPIC_API_KEY", api_key)
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elif "openai" in default_model or "gpt" in default_model:
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os.environ.setdefault("OPENAI_API_KEY", api_key)
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elif "gemini" in default_model.lower():
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os.environ.setdefault("GEMINI_API_KEY", api_key)
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elif "zhipu" in default_model or "glm" in default_model or "zai" in default_model:
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os.environ.setdefault("ZHIPUAI_API_KEY", api_key)
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elif "groq" in default_model:
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os.environ.setdefault("GROQ_API_KEY", api_key)
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@ -83,11 +87,24 @@ class LiteLLMProvider(LLMProvider):
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if self.is_openrouter and not model.startswith("openrouter/"):
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model = f"openrouter/{model}"
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# For Zhipu/Z.ai, ensure prefix is present
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# Handle cases like "glm-4.7-flash" -> "zhipu/glm-4.7-flash"
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if ("glm" in model.lower() or "zhipu" in model.lower()) and not (
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model.startswith("zhipu/") or
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model.startswith("zai/") or
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model.startswith("openrouter/")
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):
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model = f"zhipu/{model}"
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# For vLLM, use hosted_vllm/ prefix per LiteLLM docs
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# Convert openai/ prefix to hosted_vllm/ if user specified it
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if self.is_vllm:
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model = f"hosted_vllm/{model}"
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# For Gemini, ensure gemini/ prefix if not already present
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if "gemini" in model.lower() and not model.startswith("gemini/"):
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model = f"gemini/{model}"
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kwargs: dict[str, Any] = {
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"model": model,
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"messages": messages,
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@ -22,6 +22,16 @@ You have access to:
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- Use `memory/` directory for daily notes
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- Use `MEMORY.md` for long-term information
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## Scheduled Reminders
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When user asks for a reminder at a specific time, use `exec` to run:
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```
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nanobot cron add --name "reminder" --message "Your message" --at "YYYY-MM-DDTHH:MM:SS" --deliver --to "USER_ID" --channel "CHANNEL"
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```
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Get USER_ID and CHANNEL from the current session (e.g., `8281248569` and `telegram` from `telegram:8281248569`).
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**Do NOT just write reminders to MEMORY.md** — that won't trigger actual notifications.
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## Heartbeat Tasks
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`HEARTBEAT.md` is checked every 30 minutes. You can manage periodic tasks by editing this file:
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Loading…
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