Documentation Index
Fetch the complete documentation index at: https://laddr.agnetlabs.com/llms.txt
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Complete reference for the Laddr agent configuration schema.
Agent Configuration
from laddr import Agent
agent = Agent(
name="researcher",
role="Web Research Specialist",
goal="Search the web and summarize findings",
backstory="You are a research-focused agent...",
llm=llm_config,
tools=[tool1, tool2],
max_retries=1,
max_iterations=3,
max_tool_calls=10,
timeout=300,
trace_enabled=True,
instructions="Custom instructions...",
is_coordinator=False
)
Required Fields
| Field | Type | Description |
|---|
name | str | Unique agent identifier |
role | str | Agent’s role description |
goal | str | Primary objective or task |
backstory | str | Context that shapes behavior |
llm | LLM | LLM configuration object |
Optional Fields
| Field | Type | Default | Description |
|---|
tools | list | [] | List of tool functions |
max_retries | int | 1 | Number of retries for failed tasks |
max_iterations | int | 3 | Maximum reasoning loops |
max_tool_calls | int | 10 | Maximum tool calls per iteration |
timeout | int | 300 | Task timeout in seconds |
trace_enabled | bool | True | Enable execution tracing |
instructions | str | None | Custom instructions for behavior |
is_coordinator | bool | False | Enable delegation tools |
LLM Configuration
OpenAI
from laddr.llms import openai
llm = openai(
model="gpt-4o-mini",
temperature=0.0,
max_tokens=2000
)
Gemini
from laddr.llms import gemini
llm = gemini(
model="gemini-2.5-flash",
temperature=0.0
)
Anthropic
from laddr.llms import anthropic
llm = anthropic(
model="claude-3-5-sonnet-20241022",
temperature=0.0
)
Ollama
from laddr.llms import ollama
llm = ollama(
model="llama3.2:latest",
base_url="http://localhost:11434"
)
Example Configuration
from laddr import Agent
from laddr.llms import gemini
from tools.web_tools import web_search
researcher = Agent(
name="researcher",
role="Web Research Specialist",
goal="Search the web and summarize findings",
backstory="""You are a research-focused agent who finds accurate
data online and presents it clearly.""",
llm=gemini(model="gemini-2.5-flash", temperature=0.0),
tools=[web_search],
max_retries=1,
max_iterations=3,
max_tool_calls=2,
timeout=45,
trace_enabled=True,
instructions="""
When researching:
1. Use web_search to find information
2. Prioritize recent sources
3. Cite sources in your response
"""
)
Next Steps
