fswair · Oct 29, 2026 · Oct 29, 2026 · Oct 29, 2026
diff --git a/.agents/skills/langchain-acp/SKILL.md b/.agents/skills/langchain-acp/SKILL.md
@@ -64,9 +64,9 @@ It does not own:
 
 The package metadata and compatibility gate use these minimum versions:
 
-- `langchain>=1.3.11`
-- `langgraph>=1.2.7`
-- `deepagents>=0.6.12` through `langchain-acp[deepagents]`
+- `langchain>=1.4.7`
+- `langgraph>=1.2.18`
+- `deepagents>=0.7.32` through `langchain-acp[deepagents]`
 
 Treat the three packages as one resolved stack. Validate changes with `make check-langchain-stack`;
 that gate runs both runtime tests and `ty` against the exact baseline versions.

diff --git a/.agents/skills/pydantic-acp/SKILL.md b/.agents/skills/pydantic-acp/SKILL.md
@@ -179,10 +179,10 @@ When working on this surface, remember:
 - keep the direct async-iterable fallback only for tests and compatibility fakes
 - `OpenAICompactionBridge` must not pass deprecated `instructions=` into upstream `OpenAICompaction`
 - Harness workspace, filesystem, shell, and CodeMode bridges are regression-tested against
-  `pydantic-ai-harness[code-mode]==0.52.0` through its public imports; include
+  `pydantic-ai-harness[code-mode]==0.63.0` through its public imports; include
   `HarnessLocalWorkspaceBridge` when filesystem or shell capabilities need a workspace, and do not
   duplicate unrelated Harness capabilities such as Memory or Guardrails in ACP Kit.
-- Harness 0.52.0 requires Pydantic AI 2.52.0; keep Harness
+- Harness 0.63.0 requires Pydantic AI 2.63.0; keep Harness
   capability tests on the locked development version and use the core adapter
   matrix for the full supported range.
 

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
@@ -46,7 +46,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        pydantic-ai-version: ["2.9.0", "2.9.1", "2.10.0", "2.11.0", "2.12.0", "2.13.0", "2.14.0", "2.14.1", "2.15.0", "2.16.0", "2.17.0", "2.18.0", "2.19.0", "2.20.0", "2.21.0", "2.22.0", "2.23.0", "2.24.0", "2.25.0", "2.26.0", "2.27.0", "2.27.1", "2.28.0", "2.29.0", "2.30.0", "2.31.0", "2.31.1", "2.32.0", "2.33.0", "2.34.0", "2.35.0", "2.36.0", "2.37.0", "2.38.0", "2.39.0", "2.40.0", "2.41.0", "2.42.0", "2.43.0", "2.44.0", "2.45.0", "2.46.0", "2.47.0", "2.48.0", "2.49.0", "2.50.0", "2.51.0", "2.52.0"]
+        pydantic-ai-version: ["2.9.0", "2.9.1", "2.10.0", "2.11.0", "2.12.0", "2.13.0", "2.14.0", "2.14.1", "2.15.0", "2.16.0", "2.17.0", "2.18.0", "2.19.0", "2.20.0", "2.21.0", "2.22.0", "2.23.0", "2.24.0", "2.25.0", "2.26.0", "2.27.0", "2.27.1", "2.28.0", "2.29.0", "2.30.0", "2.31.0", "2.31.1", "2.32.0", "2.33.0", "2.34.0", "2.35.0", "2.36.0", "2.37.0", "2.38.0", "2.39.0", "2.40.0", "2.41.0", "2.42.0", "2.43.0", "2.44.0", "2.45.0", "2.46.0", "2.47.0", "2.48.0", "2.49.0", "2.50.0", "2.51.0", "2.52.0", "2.53.0", "2.54.0", "2.55.0", "2.56.0", "2.57.0", "2.58.0", "2.59.0", "2.60.0", "2.61.0", "2.62.0", "2.63.0"]
 
     steps:
     - uses: actions/checkout@v7

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -5,6 +5,17 @@ ACP Kit uses synchronized versions for `acpkit`, `pydantic-acp`, `langchain-acp`
 
 ## [Unreleased]
 
+### Changed
+
+- Pydantic AI compatibility now covers `>=2.9.0,<=2.63.0`; the maintained
+  Harness integration targets `pydantic-ai-harness[code-mode]==0.63.0`.
+- LangChain baseline is now LangChain 1.4.7, LangGraph 1.2.18, and
+  DeepAgents 0.7.32.
+- Pydantic AI 2.53 through 2.63 are covered by the CI compatibility matrix.
+  `RetryPromptPart` is deprecated upstream; the adapter keeps its legacy
+  handling for older releases and reports `ToolReturnPart(outcome='retried')`
+  as a failed tool call.
+
 ## [1.10.0] - 2026-09-30
 
 ### Added

diff --git a/Makefile b/Makefile
@@ -2,10 +2,10 @@ BLUE := \033[1;34m
 GREEN := \033[1;32m
 RESET := \033[0m
 PYTHON_VERSIONS := 3.11.13 3.12.10 3.13.9
-PYDANTIC_AI_VERSIONS := 2.9.0 2.9.1 2.10.0 2.11.0 2.12.0 2.13.0 2.14.0 2.14.1 2.15.0 2.16.0 2.17.0 2.18.0 2.19.0 2.20.0 2.21.0 2.22.0 2.23.0 2.24.0 2.25.0 2.26.0 2.27.0 2.27.1 2.28.0 2.29.0 2.30.0 2.31.0 2.31.1 2.32.0 2.33.0 2.34.0 2.35.0 2.36.0 2.37.0 2.38.0 2.39.0 2.40.0 2.41.0 2.42.0 2.43.0 2.44.0 2.45.0 2.46.0 2.47.0 2.48.0 2.49.0 2.50.0 2.51.0 2.52.0
-LANGCHAIN_VERSION := 1.3.11
-LANGGRAPH_VERSION := 1.2.7
-DEEPAGENTS_VERSION := 0.6.12
+PYDANTIC_AI_VERSIONS := 2.9.0 2.9.1 2.10.0 2.11.0 2.12.0 2.13.0 2.14.0 2.14.1 2.15.0 2.16.0 2.17.0 2.18.0 2.19.0 2.20.0 2.21.0 2.22.0 2.23.0 2.24.0 2.25.0 2.26.0 2.27.0 2.27.1 2.28.0 2.29.0 2.30.0 2.31.0 2.31.1 2.32.0 2.33.0 2.34.0 2.35.0 2.36.0 2.37.0 2.38.0 2.39.0 2.40.0 2.41.0 2.42.0 2.43.0 2.44.0 2.45.0 2.46.0 2.47.0 2.48.0 2.49.0 2.50.0 2.51.0 2.52.0 2.53.0 2.54.0 2.55.0 2.56.0 2.57.0 2.58.0 2.59.0 2.60.0 2.61.0 2.62.0 2.63.0
+LANGCHAIN_VERSION := 1.4.7
+LANGGRAPH_VERSION := 1.2.18
+DEEPAGENTS_VERSION := 0.7.32
 RELEASE_TAG ?=
 DIST_DIR ?= dist
 

diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
@@ -73,7 +73,7 @@ uv add pydantic-acp
 pip install pydantic-acp
 ```
 
-`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.52.0` and pins the ACP
+`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.63.0` and pins the ACP
 protocol version it integrates against. Pydantic AI V1 and releases before
 2.9.0 are not supported.
 
@@ -105,8 +105,8 @@ Use `langchain-acp[web]` for the LangChain adapter or `acpkit[web]` with the roo
 pip install "langchain-acp[deepagents]"
 ```
 
-The current minimum versions are `langchain>=1.3.11`, `langgraph>=1.2.7`, and, when the optional
-extra is installed, `deepagents>=0.6.12`. ACP Kit's CI resolves and tests these three versions
+The current minimum versions are `langchain>=1.4.7`, `langgraph>=1.2.18`, and, when the optional
+extra is installed, `deepagents>=0.7.32`. ACP Kit's CI resolves and tests these three versions
 together rather than validating them in isolation.
 
 `langchain-acp` is the direct dependency when your app already owns a compiled LangGraph graph or a LangChain `create_agent(...)` graph and you want ACP Kit's adapter seams without the root CLI.

diff --git a/docs/langchain-acp.md b/docs/langchain-acp.md
@@ -14,9 +14,9 @@ It is not a separate agent framework. The adapter takes a runtime that is alread
 
 | Framework | Supported baseline | Adapter contract |
 | --- | --- | --- |
-| LangChain | `>=1.3.11` | `create_agent(...)`, middleware, messages, and streaming |
-| LangGraph | `>=1.2.7` | compiled graph invocation, state, interrupts, and stream events |
-| DeepAgents | `>=0.6.12` | optional `deepagents` extra, built-in tool projection, and plan compatibility |
+| LangChain | `>=1.4.7` | `create_agent(...)`, middleware, messages, and streaming |
+| LangGraph | `>=1.2.18` | compiled graph invocation, state, interrupts, and stream events |
+| DeepAgents | `>=0.7.32` | optional `deepagents` extra, built-in tool projection, and plan compatibility |
 
 The baseline is tested as one resolved stack in CI. The adapter does not cap future compatible
 minor releases, but the lockfile records the exact versions used by the repository.

diff --git a/docs/llms-full.txt b/docs/llms-full.txt
@@ -290,7 +290,7 @@ uv add pydantic-acp
 pip install pydantic-acp
 ```
 
-`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.52.0` and pins the ACP
+`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.63.0` and pins the ACP
 protocol version it integrates against. Pydantic AI V1 and releases before
 2.9.0 are not supported.
 
@@ -322,8 +322,8 @@ Use `langchain-acp[web]` for the LangChain adapter or `acpkit[web]` with the roo
 pip install "langchain-acp[deepagents]"
 ```
 
-The current minimum versions are `langchain>=1.3.11`, `langgraph>=1.2.7`, and, when the optional
-extra is installed, `deepagents>=0.6.12`. ACP Kit's CI resolves and tests these three versions
+The current minimum versions are `langchain>=1.4.7`, `langgraph>=1.2.18`, and, when the optional
+extra is installed, `deepagents>=0.7.32`. ACP Kit's CI resolves and tests these three versions
 together rather than validating them in isolation.
 
 `langchain-acp` is the direct dependency when your app already owns a compiled LangGraph graph or a LangChain `create_agent(...)` graph and you want ACP Kit's adapter seams without the root CLI.
@@ -1544,7 +1544,7 @@ If you are integrating `pydantic-acp` in a real product:
 
 ## Version Compatibility And Private Upstream APIs
 
-`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.52.0`. Pydantic AI V1 and
+`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.63.0`. Pydantic AI V1 and
 Pydantic AI 2.x releases before 2.9.0 are outside the supported range.
 
 Each supported minor is checked against the same adapter runtime suite and
@@ -1585,7 +1585,7 @@ aliases and wrapped as `ProcessHistory` capabilities inside
 What this means in practice:
 
 - the adapter is less exposed to private upstream type-module churn
-- Pydantic AI 2.9.0 through 2.52.0 share one public adapter contract
+- Pydantic AI 2.9.0 through 2.63.0 share one public adapter contract
 - future Pydantic AI upgrades remain explicit compatibility work
 - integration points stay isolated behind ACP Kit bridge and runtime seams
 
@@ -1609,9 +1609,9 @@ It is not a separate agent framework. The adapter takes a runtime that is alread
 
 | Framework | Supported baseline | Adapter contract |
 | --- | --- | --- |
-| LangChain | `>=1.3.11` | `create_agent(...)`, middleware, messages, and streaming |
-| LangGraph | `>=1.2.7` | compiled graph invocation, state, interrupts, and stream events |
-| DeepAgents | `>=0.6.12` | optional `deepagents` extra, built-in tool projection, and plan compatibility |
+| LangChain | `>=1.4.7` | `create_agent(...)`, middleware, messages, and streaming |
+| LangGraph | `>=1.2.18` | compiled graph invocation, state, interrupts, and stream events |
+| DeepAgents | `>=0.7.32` | optional `deepagents` extra, built-in tool projection, and plan compatibility |
 
 The baseline is tested as one resolved stack in CI. The adapter does not cap future compatible
 minor releases, but the lockfile records the exact versions used by the repository.
@@ -7847,7 +7847,7 @@ make check-pydantic-ai-matrix
 ```
 
 This runs the Pydantic adapter runtime tests and type checks independently
-against Pydantic AI 2.9.0 through 2.52.0. The same matrix runs
+against Pydantic AI 2.9.0 through 2.63.0. The same matrix runs
 in CI. Add a version only after both parts pass.
 
 LangChain stack compatibility checks:
@@ -7856,8 +7856,8 @@ LangChain stack compatibility checks:
 make check-langchain-stack
 ```
 
-This runs the LangChain adapter tests and type checks with LangChain 1.3.11, LangGraph 1.2.7, and
-DeepAgents 0.6.12 in one resolver environment. The suite constructs a real DeepAgents graph and
+This runs the LangChain adapter tests and type checks with LangChain 1.4.7, LangGraph 1.2.18, and
+DeepAgents 0.7.32 in one resolver environment. The suite constructs a real DeepAgents graph and
 checks its ACP lifecycle and built-in tool projections.
 
 Branch coverage for the adapter packages:
@@ -8016,9 +8016,9 @@ async def confirm(session: AcpSessionContext) -> None:
 
 - Python 3.11 through 3.13
 - Pydantic AI 2.0.0 through 2.9.1
-- LangChain 1.3.11 or newer
-- LangGraph 1.2.7 or newer
-- DeepAgents 0.6.12 or newer through the optional extra
+- LangChain 1.4.7 or newer
+- LangGraph 1.2.18 or newer
+- DeepAgents 0.7.32 or newer through the optional extra
 - ACP Python SDK 0.11.0
 
 The release validation suite covers all repository tests with 100% line
@@ -8054,9 +8054,9 @@ The release gate covers:
 
 - Python 3.11 through 3.13
 - Pydantic AI 2.0 through 2.4
-- LangChain 1.3.11
-- LangGraph 1.2.7
-- DeepAgents 0.6.12
+- LangChain 1.4.7
+- LangGraph 1.2.18
+- DeepAgents 0.7.32
 - ACP Python SDK 0.9.0
 
 ## Migration Notes
@@ -8105,9 +8105,9 @@ The release gate covers:
 
 - Python 3.11 through 3.13
 - Pydantic AI 2.0 through 2.4
-- LangChain 1.3.11
-- LangGraph 1.2.7
-- DeepAgents 0.6.12
+- LangChain 1.4.7
+- LangGraph 1.2.18
+- DeepAgents 0.7.32
 - ACP Python SDK 0.9.0
 
 ## Stable Surface

diff --git a/docs/pydantic-acp.md b/docs/pydantic-acp.md
@@ -388,7 +388,7 @@ If you are integrating `pydantic-acp` in a real product:
 
 ## Version Compatibility And Private Upstream APIs
 
-`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.52.0`. Pydantic AI V1 and
+`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.63.0`. Pydantic AI V1 and
 Pydantic AI 2.x releases before 2.9.0 are outside the supported range.
 
 Each supported minor is checked against the same adapter runtime suite and
@@ -429,6 +429,6 @@ aliases and wrapped as `ProcessHistory` capabilities inside
 What this means in practice:
 
 - the adapter is less exposed to private upstream type-module churn
-- Pydantic AI 2.9.0 through 2.52.0 share one public adapter contract
+- Pydantic AI 2.9.0 through 2.63.0 share one public adapter contract
 - future Pydantic AI upgrades remain explicit compatibility work
 - integration points stay isolated behind ACP Kit bridge and runtime seams
diff --git a/docs/pydantic-acp/harness-capabilities.md b/docs/pydantic-acp/harness-capabilities.md
@@ -10,13 +10,13 @@ This is the supported path when you want a Pydantic agent to use:
 - optional CodeMode execution tools
 
 ACP Kit validates its maintained harness bridge surface against
-`pydantic-ai-harness[code-mode]==0.52.0`. The bridges intentionally use the
+`pydantic-ai-harness[code-mode]==0.63.0`. The bridges intentionally use the
 public `LocalWorkspace`, `FileSystem`, `Shell`, and `CodeMode` imports; newer Harness capabilities
 such as Memory and Guardrails remain available to the underlying agent without
 being reimplemented as ACP Kit-specific tool bridges.
 
-Harness 0.52.0 itself requires `pydantic-ai-slim==2.52.0`. The core
-`pydantic-acp` adapter remains compatible with Pydantic AI 2.9.0 through 2.52.0;
+Harness 0.63.0 itself requires `pydantic-ai-slim==2.63.0`. The core
+`pydantic-acp` adapter remains compatible with Pydantic AI 2.9.0 through 2.63.0;
 install the `harness` extra only when the resolved Pydantic AI version is in the
 Harness-supported part of that range.
 

diff --git a/docs/testing.md b/docs/testing.md
@@ -49,7 +49,7 @@ make check-pydantic-ai-matrix
 ```
 
 This runs the Pydantic adapter runtime tests and type checks independently
-against Pydantic AI 2.9.0 through 2.52.0. The same matrix runs
+against Pydantic AI 2.9.0 through 2.63.0. The same matrix runs
 in CI. Add a version only after both parts pass.
 
 LangChain stack compatibility checks:
@@ -58,8 +58,8 @@ LangChain stack compatibility checks:
 make check-langchain-stack
 ```
 
-This runs the LangChain adapter tests and type checks with LangChain 1.3.11, LangGraph 1.2.7, and
-DeepAgents 0.6.12 in one resolver environment. The suite constructs a real DeepAgents graph and
+This runs the LangChain adapter tests and type checks with LangChain 1.4.7, LangGraph 1.2.18, and
+DeepAgents 0.7.32 in one resolver environment. The suite constructs a real DeepAgents graph and
 checks its ACP lifecycle and built-in tool projections.
 
 Branch coverage for the adapter packages:

diff --git a/docs/versioning.md b/docs/versioning.md
@@ -47,10 +47,10 @@ The v1 baseline is:
 | Integration | Supported baseline |
 |---|---|
 | Python | 3.11, 3.12, 3.13 |
-| Pydantic AI | 2.9.0 through 2.52.0 |
-| LangChain | 1.3.11 |
-| LangGraph | 1.2.7 |
-| DeepAgents | 0.6.12 |
+| Pydantic AI | 2.9.0 through 2.63.0 |
+| LangChain | 1.4.7 |
+| LangGraph | 1.2.18 |
+| DeepAgents | 0.7.32 |
 | ACP Python SDK | 0.12.1 (schema v1.19) |
 
 ## Deprecation Policy

diff --git a/examples/langchain/README.md b/examples/langchain/README.md
@@ -4,8 +4,8 @@ These examples expose real LangChain, LangGraph, and DeepAgents graphs through
 ACP. Model and mode choices belong to the ACP session and rebuild the graph
 through `graph_factory`.
 
-They are tested against LangChain 1.3.11, LangGraph 1.2.7, and DeepAgents
-0.6.12.
+They are tested against LangChain 1.4.7, LangGraph 1.2.18, and DeepAgents
+0.7.32.
 
 ## Setup
 

diff --git a/packages/adapters/langchain-acp/README.md b/packages/adapters/langchain-acp/README.md
@@ -47,9 +47,9 @@ Public API and deprecation guarantees are documented in the
 
 The current compatibility baseline is:
 
-- `langchain>=1.3.11`
-- `langgraph>=1.2.7`
-- `deepagents>=0.6.12` through the optional `deepagents` extra
+- `langchain>=1.4.7`
+- `langgraph>=1.2.18`
+- `deepagents>=0.7.32` through the optional `deepagents` extra
 
 These are minimum versions rather than upper pins. The lockfile and CI validate the exact baseline
 together, including a real `create_deep_agent(...)` graph adapted through ACP. DeepAgents 0.6 tool

diff --git a/packages/adapters/langchain-acp/pyproject.toml b/packages/adapters/langchain-acp/pyproject.toml
@@ -17,14 +17,14 @@ classifiers = [
 keywords = ["acp", "langchain", "langgraph", "agents", "protocol"]
 dependencies = [
     "agent-client-protocol==0.12.1",
-    "langchain>=1.3.11",
-    "langgraph>=1.2.7",
+    "langchain>=1.4.7",
+    "langgraph>=1.2.18",
     "pydantic>=2.7",
     "typing-extensions>=4.12.0",
 ]
 
 [project.optional-dependencies]
-deepagents = ["deepagents>=0.6.12"]
+deepagents = ["deepagents>=0.7.32"]
 web = ["agent-client-protocol[http]==0.12.1"]
 
 [project.urls]

diff --git a/packages/adapters/pydantic-acp/README.md b/packages/adapters/pydantic-acp/README.md
@@ -571,7 +571,7 @@ Focused docs recipes:
 
 ## Compatibility Policy
 
-`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.52.0`. Pydantic AI V1 and
+`pydantic-acp` supports `pydantic-ai-slim>=2.9.0,<=2.63.0`. Pydantic AI V1 and
 Pydantic AI 2.x releases before 2.9.0 are outside the supported range.
 
 The ACP client provider bridge depends on the Pydantic AI v2 `Provider` and `Model` contracts. Upgrades across major Pydantic AI versions should be deliberate because the adapter exposes both server-side ACP translation and client-side ACP provider integration.
@@ -596,9 +596,9 @@ agent: Agent[None, str] = Agent(
 
 The supported surface includes tool and output-tool preparation, output
 validation and processing hooks, deferred tool-call hooks, run metadata,
-conversation IDs, and the `run_stream_events()` lifecycle used through 2.52.0.
+conversation IDs, and the `run_stream_events()` lifecycle used through 2.63.0.
 
 Harness-backed filesystem, shell, and CodeMode bridges are validated against
-`pydantic-ai-harness[code-mode]==0.52.0` using its public capability imports.
-Harness 0.52.0 requires `pydantic-ai-slim==2.52.0`; the core adapter itself
-remains compatible with Pydantic AI 2.9.0 through 2.52.0.
+`pydantic-ai-harness[code-mode]==0.63.0` using its public capability imports.
+Harness 0.63.0 requires `pydantic-ai-slim==2.63.0`; the core adapter itself
+remains compatible with Pydantic AI 2.9.0 through 2.63.0.
diff --git a/packages/adapters/pydantic-acp/pyproject.toml b/packages/adapters/pydantic-acp/pyproject.toml
@@ -18,13 +18,13 @@ dependencies = [
     # Fixed for compliance with the ACP 0.12 public SDK.
     "agent-client-protocol==0.12.1",
     "anyio>=4.0.0",
-    "pydantic-ai-slim>=2.9.0,<=2.52.0",
+    "pydantic-ai-slim>=2.9.0,<=2.63.0",
     "pydantic>=2.7",
     "typing-extensions>=4.12.0",
 ]
 
 [project.optional-dependencies]
-harness = ["pydantic-ai-harness[code-mode]==0.52.0"]
+harness = ["pydantic-ai-harness[code-mode]==0.63.0"]
 web = ["agent-client-protocol[http]==0.12.1"]
 
 [project.urls]

diff --git a/packages/helpers/codex-auth-helper/pyproject.toml b/packages/helpers/codex-auth-helper/pyproject.toml
@@ -17,7 +17,7 @@ classifiers = [
 dependencies = [
     "httpx>=0.28.1",
     "openai>=1.109.1",
-    "pydantic-ai-slim>=2.9.0,<=2.52.0",
+    "pydantic-ai-slim>=2.9.0,<=2.63.0",
     "typing-extensions>=4.12.0",
 ]