Использование Hermes в качестве Python-библиотеки

pip install git+https://github.com/NousResearch/hermes-agent.git

uv pip install git+https://github.com/NousResearch/hermes-agent.git

hermes-agent @ git+https://github.com/NousResearch/hermes-agent.git

from run_agent import AIAgent

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    quiet_mode=True,
)
response = agent.chat("What is the capital of France?")
print(response)

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    quiet_mode=True,
)

result = agent.run_conversation(
    user_message="Search for recent Python 3.13 features",
    task_id="my-task-1",
)

print(result["final_response"])
print(f"Messages exchanged: {len(result['messages'])}")

result = agent.run_conversation(
    user_message="Explain quicksort",
    system_message="You are a computer science tutor. Use simple analogies.",
)

# Only enable web tools (browsing, search)
agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    enabled_toolsets=["web"],
    quiet_mode=True,
)

# Enable everything except terminal access
agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    disabled_toolsets=["terminal"],
    quiet_mode=True,
)

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    quiet_mode=True,
)

# First turn
result1 = agent.run_conversation("My name is Alice")
history = result1["messages"]

# Second turn — agent remembers the context
result2 = agent.run_conversation(
    "What's my name?",
    conversation_history=history,
)
print(result2["final_response"])  # "Your name is Alice."

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    save_trajectories=True,
    quiet_mode=True,
)

agent.chat("Write a Python function to sort a list")
# Saves to trajectory_samples.jsonl in ShareGPT format

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    ephemeral_system_prompt="You are a SQL expert. Only answer database questions.",
    quiet_mode=True,
)

response = agent.chat("How do I write a JOIN query?")
print(response)

python batch_runner.py --input prompts.jsonl --output results.jsonl

import concurrent.futures
from run_agent import AIAgent

prompts = [
    "Explain recursion",
    "What is a hash table?",
    "How does garbage collection work?",
]

def process_prompt(prompt):
    # Create a fresh agent per task for thread safety
    agent = AIAgent(
        model="anthropic/claude-sonnet-4",
        quiet_mode=True,
        skip_memory=True,
    )
    return agent.chat(prompt)

with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
    results = list(executor.map(process_prompt, prompts))

for prompt, result in zip(prompts, results):
    print(f"Q: {prompt}\nA: {result}\n")

from fastapi import FastAPI
from pydantic import BaseModel
from run_agent import AIAgent

app = FastAPI()

class ChatRequest(BaseModel):
    message: str
    model: str = "anthropic/claude-sonnet-4"

@app.post("/chat")
async def chat(request: ChatRequest):
    agent = AIAgent(
        model=request.model,
        quiet_mode=True,
        skip_context_files=True,
        skip_memory=True,
    )
    response = agent.chat(request.message)
    return {"response": response}

import discord
from run_agent import AIAgent

client = discord.Client(intents=discord.Intents.default())

@client.event
async def on_message(message):
    if message.author == client.user:
        return
    if message.content.startswith("!hermes "):
        query = message.content[8:]
        agent = AIAgent(
            model="anthropic/claude-sonnet-4",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            platform="discord",
        )
        response = agent.chat(query)
        await message.channel.send(response[:2000])

client.run("YOUR_DISCORD_TOKEN")

#!/usr/bin/env python3
"""CI step: auto-review a PR diff."""
import subprocess
from run_agent import AIAgent

diff = subprocess.check_output(["git", "diff", "main...HEAD"]).decode()

agent = AIAgent(
    model="anthropic/claude-sonnet-4",
    quiet_mode=True,
    skip_context_files=True,
    skip_memory=True,
    disabled_toolsets=["terminal", "browser"],
)

review = agent.chat(
    f"Review this PR diff for bugs, security issues, and style problems:\n\n{diff}"
)
print(review)