Files
hermes-agent/skills/mlops/instructor/references/providers.md
teknium f172f7d4aa Add skills tools and enhance model integration
- Introduced new skills tools: `skills_categories`, `skills_list`, and `skill_view` in `model_tools.py`, allowing for better organization and access to skill-related functionalities.
- Updated `toolsets.py` to include a new `skills` toolset, providing a dedicated space for skill tools.
- Enhanced `batch_runner.py` to recognize and validate skills tools during batch processing.
- Added comprehensive tool definitions for skills tools, ensuring compatibility with OpenAI's expected format.
- Created new shell script `test_skills_kimi.sh` for testing skills tool functionality with Kimi K2.5.
- Added example skill files demonstrating the structure and usage of skills within the Hermes-Agent framework, including `SKILL.md` for example and audiocraft skills.
- Improved documentation for skills tools and their integration into the existing tool framework, ensuring clarity for future development and usage.
2026-01-30 07:39:55 +00:00

1.3 KiB

Provider Configuration

Guide to using Instructor with different LLM providers.

Anthropic Claude

import instructor
from anthropic import Anthropic

# Basic setup
client = instructor.from_anthropic(Anthropic())

# With API key
client = instructor.from_anthropic(
    Anthropic(api_key="your-api-key")
)

# Recommended mode
client = instructor.from_anthropic(
    Anthropic(),
    mode=instructor.Mode.ANTHROPIC_TOOLS
)

# Usage
result = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    messages=[{"role": "user", "content": "..."}],
    response_model=YourModel
)

OpenAI

from openai import OpenAI

client = instructor.from_openai(OpenAI())

result = client.chat.completions.create(
    model="gpt-4o-mini",
    response_model=YourModel,
    messages=[{"role": "user", "content": "..."}]
)

Local Models (Ollama)

client = instructor.from_openai(
    OpenAI(
        base_url="http://localhost:11434/v1",
        api_key="ollama"
    ),
    mode=instructor.Mode.JSON
)

result = client.chat.completions.create(
    model="llama3.1",
    response_model=YourModel,
    messages=[...]
)

Modes

  • Mode.ANTHROPIC_TOOLS: Recommended for Claude
  • Mode.TOOLS: OpenAI function calling
  • Mode.JSON: Fallback for unsupported providers