# BEFORE
[llm]
provider = "openai"
api_key = "{{ env.OPENAI_API_KEY }}"
model = "gpt-5.1"
context_window = 128000
temperature = 0.3

[agent]
name = "My Agent"
system_prompt = "..."
turn_depth = 5

# AFTER
[agent]
name = "My Agent"
system_prompt = "..."
turn_depth = 5

[agent.llm]
provider = "openai"
api_key = "{{ env.OPENAI_API_KEY }}"
model = "gpt-5.1"
context_window = 128000
temperature = 0.3

# BEFORE
[llm]
provider = "anthropic"
model = "claude-sonnet-4-5-20250929"
temperature = 1.0

[llm.additional_params.thinking]
type = "enabled"
budget_tokens = 8000

# AFTER
[agent]
name = "Thinking Agent"
system_prompt = "..."

[agent.llm]
provider = "anthropic"
model = "claude-sonnet-4-5-20250929"
temperature = 1.0

[agent.llm.additional_params.thinking]
type = "enabled"
budget_tokens = 8000

# BEFORE
[llm]
provider = "ollama"
model = "qwen3:30b-a3b"
fallback_tool_parsing = true

[llm.additional_params]
num_ctx = 32000
think = true

# AFTER
[agent]
name = "Local Assistant"
system_prompt = "..."

[agent.llm]
provider = "ollama"
model = "qwen3:30b-a3b"
fallback_tool_parsing = true

[agent.llm.additional_params]
num_ctx = 32000
think = true

[agent]
name = "Math Coordinator"
system_prompt = "..."

[agent.llm]
provider = "openai"
api_key = "{{ env.OPENAI_API_KEY }}"
model = "gpt-5.1"
context_window = 128000

[orchestration]
enabled = true

# Inherits [agent.llm] — no override needed for the common case
[orchestration.worker.arithmetic]
description = "Basic arithmetic operations"
preamble = "You are an arithmetic specialist."
mcp_filter = ["add", "subtract", "multiply", "divide"]

# Explicit override — this worker runs a cheaper model with a smaller context
[orchestration.worker.formatting]
description = "Formats numeric output for humans"
preamble = "You format numbers as strings."
mcp_filter = []

[orchestration.worker.formatting.llm]
provider = "anthropic"
api_key = "{{ env.ANTHROPIC_API_KEY }}"
model = "claude-haiku-4-5-20251001"
context_window = 200000

Configuration uses the legacy top-level [llm] table. Move it under
[agent.llm] (and any [llm.additional_params] under
[agent.llm.additional_params]). Workers may optionally override the
LLM via [orchestration.worker.<name>.llm].