Add platform-specific formatting hints and identity for AIAgent
- Introduced a default agent identity prompt to ensure consistent behavior across platforms. - Added platform-specific formatting hints for CLI, WhatsApp, Telegram, and Discord to guide the agent's output style. - Updated the AIAgent initialization to accept a platform parameter, enhancing adaptability to different interfaces.
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teknium1
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3 changed files with 78 additions and 28 deletions
100
run_agent.py
100
run_agent.py
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@ -54,6 +54,41 @@ from tools.browser_tool import cleanup_browser
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import requests
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# =============================================================================
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# Default Agent Identity & Platform Hints
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# =============================================================================
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# The default identity prompt is prepended to every conversation so the agent
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# knows who it is and behaves consistently across platforms.
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DEFAULT_AGENT_IDENTITY = (
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"You are Hermes Agent, an intelligent AI assistant created by Nous Research. "
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"You are helpful, knowledgeable, and direct. You assist users with a wide "
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"range of tasks including answering questions, writing and editing code, "
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"analyzing information, creative work, and executing actions via your tools. "
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"You communicate clearly, admit uncertainty when appropriate, and prioritize "
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"being genuinely useful over being verbose unless otherwise directed below."
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)
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# Platform-specific formatting hints appended to the system prompt.
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# These tell the agent how to format its output for the current interface.
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PLATFORM_HINTS = {
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"whatsapp": (
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"You are on a text messaging communication platform, WhatsApp. "
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"Please do not use markdown as it does not render."
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),
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"telegram": (
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"You are on a text messaging communication platform, Telegram. "
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"Please do not use markdown as it does not render."
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),
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"discord": (
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"You are in a Discord server or group chat communicating with your user."
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),
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"cli": (
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"You are a CLI AI Agent. Try not to use markdown but simple text "
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"renderable inside a terminal."
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),
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}
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# =============================================================================
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# Model Context Management
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# =============================================================================
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@ -977,6 +1012,7 @@ class AIAgent:
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max_tokens: int = None,
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reasoning_config: Dict[str, Any] = None,
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prefill_messages: List[Dict[str, Any]] = None,
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platform: str = None,
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):
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"""
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Initialize the AI Agent.
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@ -1007,6 +1043,8 @@ class AIAgent:
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prefill_messages (List[Dict]): Messages to prepend to conversation history as prefilled context.
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Useful for injecting a few-shot example or priming the model's response style.
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Example: [{"role": "user", "content": "Hi!"}, {"role": "assistant", "content": "Hello!"}]
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platform (str): The interface platform the user is on (e.g. "cli", "telegram", "discord", "whatsapp").
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Used to inject platform-specific formatting hints into the system prompt.
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"""
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self.model = model
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self.max_iterations = max_iterations
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@ -1015,6 +1053,7 @@ class AIAgent:
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self.verbose_logging = verbose_logging
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self.quiet_mode = quiet_mode
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self.ephemeral_system_prompt = ephemeral_system_prompt
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self.platform = platform # "cli", "telegram", "discord", "whatsapp", etc.
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self.log_prefix_chars = log_prefix_chars
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self.log_prefix = f"{log_prefix} " if log_prefix else ""
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# Store effective base URL for feature detection (prompt caching, reasoning, etc.)
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@ -1955,40 +1994,45 @@ class AIAgent:
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if not self.quiet_mode:
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print(f"💬 Starting conversation: '{user_message[:60]}{'...' if len(user_message) > 60 else ''}'")
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# Determine which system prompt to use for API calls (ephemeral)
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# Priority: explicit system_message > ephemeral_system_prompt > None
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base_system_prompt = system_message if system_message is not None else self.ephemeral_system_prompt
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# Auto-include skills guidance if skills tools are available
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# Embeds a compact category:names index so the model can match skills
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# at a glance and load with a single skill_view(name) call.
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# ── Build the full system prompt ──
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# Layers (in order):
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# 1. Default agent identity (always present)
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# 2. User / gateway system prompt (if provided)
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# 3. Skills guidance (if skills tools are loaded)
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# 4. Context files (SOUL.md, AGENTS.md, .cursorrules)
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# 5. Current date & time
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# 6. Platform-specific formatting hint
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prompt_parts = [DEFAULT_AGENT_IDENTITY]
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# Layer in the caller-supplied system prompt (explicit > ephemeral).
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caller_prompt = system_message if system_message is not None else self.ephemeral_system_prompt
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if caller_prompt:
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prompt_parts.append(caller_prompt)
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# Auto-include skills guidance if skills tools are available.
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has_skills_tools = any(name in self.valid_tool_names for name in ['skills_list', 'skill_view'])
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skills_prompt = build_skills_system_prompt() if has_skills_tools else ""
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if skills_prompt:
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if base_system_prompt:
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active_system_prompt = f"{base_system_prompt}\n\n{skills_prompt}"
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else:
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active_system_prompt = skills_prompt
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else:
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active_system_prompt = base_system_prompt
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# Auto-include context files (SOUL.md, AGENTS.md, .cursorrules)
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# Discovered from cwd and injected as # Project Context sections.
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prompt_parts.append(skills_prompt)
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# Auto-include context files (SOUL.md, AGENTS.md, .cursorrules).
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context_files_prompt = build_context_files_prompt()
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if context_files_prompt:
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if active_system_prompt:
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active_system_prompt = f"{active_system_prompt}\n\n{context_files_prompt}"
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else:
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active_system_prompt = context_files_prompt
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# Append the current local date and time so the model knows what
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# day/time it is (LLM training cutoffs can otherwise mislead it).
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prompt_parts.append(context_files_prompt)
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# Current local date and time so the model is never confused about
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# what day/time it is (LLM training cutoffs can otherwise mislead it).
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now = datetime.now()
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timestamp_line = f"Current local date and time: {now.strftime('%A, %B %d, %Y %I:%M %p')}"
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if active_system_prompt:
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active_system_prompt = f"{active_system_prompt}\n\n{timestamp_line}"
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else:
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active_system_prompt = timestamp_line
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prompt_parts.append(
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f"Current local date and time: {now.strftime('%A, %B %d, %Y %I:%M %p')}"
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)
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# Platform-specific formatting hint (no markdown on WhatsApp, etc.).
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platform_key = (self.platform or "").lower().strip()
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if platform_key in PLATFORM_HINTS:
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prompt_parts.append(PLATFORM_HINTS[platform_key])
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active_system_prompt = "\n\n".join(prompt_parts)
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# Main conversation loop
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api_call_count = 0
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