Skip to main content

ACP adapter for pydantic-ai agents.

Project description

pydantic-acp

pydantic-acp adapts pydantic_ai.Agent instances to the ACP agent interface.

Public Entry Points

  • run_acp(...)
  • create_acp_agent(...)
  • AdapterConfig
  • AcpSessionContext
  • AgentSource, AgentFactory, StaticAgentSource, FactoryAgentSource
  • AgentBridgeBuilder
  • provider protocols
  • capability bridges
  • hook projection and existing-hook introspection
  • host backends

Implemented Scope

  • Milestone 1-7 scope is implemented
  • the adapter includes session lifecycle, session-local model control, providers, approvals, bridges, projection maps, and host backends
  • slash commands are available for /model, /tools, /hooks, and /mcp-servers

Quick Start

from pydantic_acp import run_acp
from pydantic_ai import Agent

agent = Agent("test", name="demo-agent")
run_acp(agent=agent)

Factory-backed usage:

from pydantic_acp import AcpSessionContext, create_acp_agent
from pydantic_ai import Agent

def build_agent(session: AcpSessionContext) -> Agent[None, str]:
    return Agent("test", name=f"demo-{session.cwd.name}")

acp_agent = create_acp_agent(agent_factory=build_agent)

File-backed session persistence:

from pathlib import Path

from pydantic_acp import AdapterConfig, FileSessionStore, run_acp

run_acp(
    agent=agent,
    config=AdapterConfig(
        session_store=FileSessionStore(base_dir=Path(".acp-sessions")),
    ),
)

Projection map example:

from pydantic_acp import FileSystemProjectionMap, run_acp

run_acp(
    agent=agent,
    projection_maps=(
        FileSystemProjectionMap(
            default_read_tool="read_file",
            default_write_tool="write_file",
            default_bash_tool="execute",
        ),
    ),
)

Hook projection example:

from pydantic_acp import HookProjectionMap, run_acp

run_acp(
    agent=agent,
    projection_maps=(
        HookProjectionMap(
            hidden_event_ids=frozenset({"after_model_request"}),
        )
    ),
)

Major Features

  • ACP session lifecycle support
  • transcript and model-message history replay
  • generic tool projection with ACP tool updates
  • projection maps for filesystem diffs and bash command previews
  • session-local models, modes, config options, and plan updates
  • deferred approval bridging
  • provider seams for host-owned state
  • capability bridges for hooks, history processors, prepare-tools, and MCP
  • hook introspection and HookProjectionMap rendering for existing Hooks capabilities
  • session-scoped host backends

Examples

See examples/pydantic/ for focused SDK examples covering static agents, factories, providers, bridges, approvals, host-context usage, and hook projection.

Key entry points:

  • examples/pydantic/hook_projection.py
  • examples/pydantic/my_agent.py

For fuller workspace documentation, see the root README.md and the docs/ directory.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydantic_acp-0.3.0.tar.gz (35.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydantic_acp-0.3.0-py3-none-any.whl (49.6 kB view details)

Uploaded Python 3

File details

Details for the file pydantic_acp-0.3.0.tar.gz.

File metadata

  • Download URL: pydantic_acp-0.3.0.tar.gz
  • Upload date:
  • Size: 35.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pydantic_acp-0.3.0.tar.gz
Algorithm Hash digest
SHA256 77f4e2823e382dd985307721d8996ce0eff0c5a518b13de2eb1470516af5d912
MD5 a014a35cdb23bc5aab0f1dda37723f33
BLAKE2b-256 c2a02b19046e7ab3688fda8245e008778532feff4fac6d5cbec6e3f8100bef40

See more details on using hashes here.

File details

Details for the file pydantic_acp-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: pydantic_acp-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 49.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pydantic_acp-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4c2f2b2607349a253ac2a8116e14df0d8a4b03e155a0ddf63807c0c049cd28da
MD5 3ceee4650b0919782eb2113642fb9887
BLAKE2b-256 b2f82ddaec8a37c33d275d17a613ec89aa45eceab8a7e2153fe232eff40439ea

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page