a2a-agents 0.7.0

Framework for building A2A Protocol agents with declarative configuration
Documentation 
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# Kitchen-sink "Research Assistant" agent.
#
# Drives examples/complex_agent.rs. Everything the agent advertises — identity,
# skills, transport, storage, streaming — is declared here; the Rust side only
# wires the handler, the MCP tool server, and (optionally) an LLM.

[agent]
name = "Research Assistant (Kitchen Sink)"
description = "Answers math and text questions using MCP tools, with optional LLM-driven tool selection and live streaming progress."
version = "0.1.0"

[agent.provider]
name = "a2a-rs examples"
url = "https://github.com/emillindfors/a2a-rs"

[server]
host = "127.0.0.1"
http_port = 8080

# In-memory storage keeps the example self-contained (no DB needed).
# Swap for `type = "sqlx"` + a `url` to persist tasks across restarts.
[server.storage]
type = "inmemory"

[[skills]]
id = "compute"
name = "Compute & analyze"
description = "Add or multiply numbers and count words via MCP tools. With an LLM key set, it answers in natural language and picks tools itself."
keywords = ["math", "add", "multiply", "word count", "tools", "mcp"]
examples = [
    "add 21 21",
    "multiply 6 7",
    "count words: the quick brown fox jumps over the lazy dog",
    "What is 19 times 3?",
]
input_formats = ["text"]
output_formats = ["text", "data"]

[features]
# Streaming is the headline of this example: the handler broadcasts progress
# artifacts that reach `tasks/subscribe` SSE clients because the runtime now
# shares the handler's streaming backend with the transport.
streaming = true
push_notifications = false
state_history = true