feat: add langgraph runtime

.github/workflows/ci.yml

@@ -107,6 +107,8 @@ jobs:
             path: runtimes/pydantic-ai
           - package: microsoft-agent-framework adapter
             path: runtimes/microsoft-agent-framework
+          - package: langgraph adapter
+            path: runtimes/langgraph
     steps:
       - name: Checkout
         uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
@@ -212,19 +214,21 @@ jobs:
           make build-agentkit TAG=ci
           make build-serve TAG=ci
           make build-serve-maf TAG=ci
+          make build-serve-langgraph TAG=ci
 
-      - name: Build test agent images for both runtimes
+      - name: Build test agent images for all runtimes
         run: |
           set -euxo pipefail
           make build-test-agent TAG=ci BUILDER=
           make build-test-agent TAG=ci BUILDER= RUNTIME=maf
+          make build-test-agent TAG=ci BUILDER= RUNTIME=langgraph
 
       - name: Smoke test built agent images
         run: |
           set -euo pipefail
 
           cleanup() {
-            docker rm -f agentkit-smoke-pydantic agentkit-smoke-maf >/dev/null 2>&1 || true
+            docker rm -f agentkit-smoke-pydantic agentkit-smoke-maf agentkit-smoke-langgraph >/dev/null 2>&1 || true
           }
           trap cleanup EXIT
 
@@ -256,6 +260,7 @@ jobs:
 
           smoke agentkit-smoke-pydantic hello-agent:ci 18080
           smoke agentkit-smoke-maf maf-agent:ci 18081
+          smoke agentkit-smoke-langgraph langgraph-agent:ci 18082
 
   live-copilot-e2e:
     name: Live Vekil/Copilot E2E

Makefile

@@ -35,17 +35,22 @@ endif
 PLATFORM ?= linux/amd64
 
 # RUNTIME selects which runtime adapter the test-agent targets: `pydantic-ai`
-# (default) or the Microsoft Agent Framework, named either `maf` (alias) or
-# `microsoft-agent-framework` (canonical) — both are accepted. build-test-agent
-# derives the adapter image, the fixture, and the output tag from it, so you can
-# build the SAME logical agent under either runtime (the §10.4 equivalence proof):
-#   make build-serve build-test-agent                 # pydantic-ai → hello-agent
-#   make build-serve-maf build-test-agent RUNTIME=maf # MAF         → maf-agent
+# (default), Microsoft Agent Framework (`maf` alias or canonical name), or
+# LangGraph (`langgraph`). build-test-agent derives the adapter image, fixture,
+# and output tag from it, so you can build the SAME logical agent under any
+# supported runtime (the §10.4 equivalence proof):
+#   make build-serve build-test-agent                        # pydantic-ai → hello-agent
+#   make build-serve-maf build-test-agent RUNTIME=maf        # MAF         → maf-agent
+#   make build-serve-langgraph build-test-agent RUNTIME=langgraph # LangGraph → langgraph-agent
 RUNTIME ?= pydantic-ai
-# Per-runtime adapter image, fixture, and output tag (overridable). The MAF branch
-# matches BOTH spellings via $(filter ...) so the canonical name does not silently
-# fall through to the pydantic-ai default.
-ifneq ($(filter maf microsoft-agent-framework,$(RUNTIME)),)
+# Per-runtime adapter image, fixture, and output tag (overridable). Branches
+# match all accepted spellings so a canonical name does not silently fall through
+# to the pydantic-ai default.
+ifneq ($(filter langgraph,$(RUNTIME)),)
+SERVE_IMAGE ?= agentkit-serve-langgraph:$(TAG)
+FIXTURE     ?= test/agentkitfile-langgraph-hello.yaml
+AGENT_IMAGE ?= langgraph-agent:$(TAG)
+else ifneq ($(filter maf microsoft-agent-framework,$(RUNTIME)),)
 SERVE_IMAGE ?= agentkit-serve-maf:$(TAG)
 FIXTURE     ?= test/agentkitfile-maf-hello.yaml
 AGENT_IMAGE ?= maf-agent:$(TAG)
@@ -92,9 +97,16 @@ build-serve:
 build-serve-maf:
 	docker buildx build . -f runtimes/microsoft-agent-framework/Dockerfile -t agentkit-serve-maf:$(TAG) --load
 
+# Build the LangGraph runtime adapter (agentkit-serve-langgraph) image.
+# This is the LLB base used when an agentkitfile selects `runtime: langgraph`.
+.PHONY: build-serve-langgraph
+build-serve-langgraph:
+	docker buildx build . -f runtimes/langgraph/Dockerfile -t agentkit-serve-langgraph:$(TAG) --load
+
 # Build a test agent against the LOCAL frontend (BUILDKIT_SYNTAX) and the LOCAL
 # adapter (--build-arg adapter). The runtime, fixture, adapter image, and output
-# tag all derive from RUNTIME (default pydantic-ai; `RUNTIME=maf` for MAF).
+# tag all derive from RUNTIME (default pydantic-ai; `RUNTIME=maf` for MAF;
+# `RUNTIME=langgraph` for LangGraph).
 # --provenance=false keeps the output a plain single-platform image for --load.
 .PHONY: build-test-agent
 build-test-agent:

README.md

@@ -58,15 +58,18 @@ the optional `runtime:` key:
 |---|---|---|
 | *(omitted)* / `pydantic-ai` | `agentkit-serve` | [pydantic-ai](https://ai.pydantic.dev) (default) |
 | `microsoft-agent-framework` (alias `maf`) | `agentkit-serve-maf` | [Microsoft Agent Framework](https://github.com/microsoft/agent-framework) |
+| `langgraph` | `agentkit-serve-langgraph` | [LangChain/LangGraph](https://docs.langchain.com/oss/python/langgraph/overview) |
 
 ```yaml
-runtime: microsoft-agent-framework   # or: maf
+runtime: langgraph
+# or: runtime: microsoft-agent-framework   # alias: maf
 ```
 
-Both runtimes consume the **same** baked `/agent/agent.yaml` and serve the
+All runtimes consume the **same** baked `/agent/agent.yaml` and serve the
 **same** non-streaming OpenAI `/v1` façade with the same guards — so the same
-agentkitfile produces a behavior-compatible image under either. Only the in-image
-runtime adapter differs. The `AGENTKIT_MCP_TIMEOUT` knob applies to both.
+agentkitfile produces a behavior-compatible image under any supported runtime.
+Only the in-image runtime adapter differs. The `AGENTKIT_MCP_TIMEOUT` knob
+applies to all runtimes.
 
 ## Local dev loop (3 steps)
 
@@ -92,16 +95,27 @@ make build-serve-maf                      # agentkit-serve-maf:test
 make build-test-agent RUNTIME=maf         # test/agentkitfile-maf-hello.yaml -> maf-agent:test
 ```
 
+To iterate on the **LangGraph** runtime, build its adapter and target it with
+`RUNTIME=langgraph`:
+
+```sh
+make build-serve-langgraph                # agentkit-serve-langgraph:test
+make build-test-agent RUNTIME=langgraph   # test/agentkitfile-langgraph-hello.yaml -> langgraph-agent:test
+```
+
 ## CI
 
 GitHub Actions runs the full closeout loop on pushes and pull requests:
 
 - Go lint, formatting, vet, race tests, and frontend build.
 - Python compile, pytest, and wheel checks for `runtimes/common/`,
-  `runtimes/pydantic-ai/`, and `runtimes/microsoft-agent-framework/`.
-- Docker builds for the frontend and both runtime adapters, followed by offline
-  `/healthz` smoke tests for generated pydantic-ai and MAF agent images.
-- Optional live Vekil-backed Copilot E2E, using the official pinned `ghcr.io/sozercan/vekil` image and a repository secret named
+  `runtimes/pydantic-ai/`, `runtimes/microsoft-agent-framework/`, and
+  `runtimes/langgraph/`.
+- Docker builds for the frontend and all three runtime adapters, followed by
+  offline `/healthz` smoke tests for generated pydantic-ai, MAF, and LangGraph
+  agent images.
+- Optional live Vekil-backed Copilot E2E, using the official pinned
+  `ghcr.io/sozercan/vekil` image and a repository secret named
   `COPILOT_GITHUB_TOKEN`. If that secret is unavailable (for example on forks or
   unconfigured repos), or Vekil reports that the token lacks Copilot access/
   permissions, the live job is skipped while the offline checks still run.
@@ -142,21 +156,21 @@ Each adapter is a thin shell over a shared core:
   ABI loader, the OpenAI `/v1` façade, the CLI/network posture, and the neutral run
   contract (`RunResult`, `AgentRunError`, the `RuntimeFactory` protocol). Imports no
   agent framework.
-- `runtimes/pydantic-ai/`, `runtimes/microsoft-agent-framework/` — each ships
-  only an `agent_factory.py` (the one file that imports its framework) plus a
-  thin `__main__.py`, implementing `RuntimeFactory`. They stay **separate images**
-  with disjoint framework deps; that physical separation is what guarantees the
-  lock-in boundary.
+- `runtimes/pydantic-ai/`, `runtimes/microsoft-agent-framework/`,
+  `runtimes/langgraph/` — each ships only an `agent_factory.py` (the one file
+  that imports its framework) plus a thin `__main__.py`, implementing
+  `RuntimeFactory`. They stay **separate images** with disjoint framework deps;
+  that physical separation is what guarantees the lock-in boundary.
 
 Adding a single-agent runtime is therefore one `agent_factory.py` + one Go
 `utils.RuntimeSpec` entry; it inherits the shared `/v1` façade and the conformance
 test suite for free.
 
 ## v0 scope / not yet
 
-- **v0**: two runtimes (pydantic-ai default + microsoft-agent-framework),
-  `provider: openai-compatible` only, stdio `command` MCP tools, the OpenAI `/v1`
-  façade, single OCI image output.
+- **v0**: three runtimes (pydantic-ai default + microsoft-agent-framework +
+  langgraph), `provider: openai-compatible` only, stdio `command` MCP tools, the
+  OpenAI `/v1` façade, single OCI image output.
 - **Not yet**: image-based MCP tools, evals, lock file / SBOM / signing,
   agentpack, `extends`/patches, knowledge/RAG, memory/state, model fallback,
   streaming, and embedded/BYO serving targets.

pkg/agentkit/config/config_test.go

@@ -192,10 +192,10 @@ expose:
 }
 
 // TestValidateAcceptsRegisteredRuntimes proves the widened runtime gate (plan §8):
-// the canonical MAF name, its "maf" alias, the default runtime, and an omitted
-// runtime all validate.
+// the canonical MAF name, its "maf" alias, LangGraph, the default runtime, and
+// an omitted runtime all validate.
 func TestValidateAcceptsRegisteredRuntimes(t *testing.T) {
-	for _, rt := range []string{"", "pydantic-ai", "microsoft-agent-framework", "maf"} {
+	for _, rt := range []string{"", "pydantic-ai", "microsoft-agent-framework", "maf", "langgraph"} {
 		cfg, err := NewFromBytes(agentBaseYAML(rt))
 		if err != nil {
 			t.Fatalf("runtime %q: parse error: %v", rt, err)
@@ -217,7 +217,9 @@ func TestValidateRejectsUnknownRuntime(t *testing.T) {
 	if verr == nil || !strings.Contains(verr.Error(), "runtime") {
 		t.Fatalf("expected unknown-runtime rejection, got: %v", verr)
 	}
-	if !strings.Contains(verr.Error(), "microsoft-agent-framework") {
-		t.Errorf("error should list supported runtimes; got: %v", verr)
+	for _, want := range []string{"microsoft-agent-framework", "langgraph"} {
+		if !strings.Contains(verr.Error(), want) {
+			t.Errorf("error should list supported runtime %q; got: %v", want, verr)
+		}
 	}
 }

pkg/build/router_test.go

@@ -3,11 +3,13 @@ package build
 import "testing"
 
 const (
-	wantImageRoute = "pydantic-ai/image"
-	runtimePydca   = "pydantic-ai"
-	runtimeMAFName = "microsoft-agent-framework"
-	runtimeMAFAls  = "maf"
-	wantMAFRoute   = "microsoft-agent-framework/image"
+	wantImageRoute     = "pydantic-ai/image"
+	runtimePydca       = "pydantic-ai"
+	runtimeMAFName     = "microsoft-agent-framework"
+	runtimeMAFAls      = "maf"
+	wantMAFRoute       = "microsoft-agent-framework/image"
+	runtimeLangGraph   = "langgraph"
+	wantLangGraphRoute = "langgraph/image"
 )
 
 func TestLookupRouteEmptyTargetDefaults(t *testing.T) {
@@ -43,6 +45,27 @@ func TestLookupRouteUnknownRuntime(t *testing.T) {
 	}
 }
 
+// TestLookupRouteLangGraph proves the LangGraph runtime resolves through the
+// same data-derived router as pydantic-ai and MAF.
+func TestLookupRouteLangGraph(t *testing.T) {
+	// empty target + LangGraph runtime → LangGraph image route.
+	matched, _, rc, ok := lookupRoute("", runtimeLangGraph)
+	if !ok || matched != wantLangGraphRoute {
+		t.Fatalf("LangGraph empty target: matched=%q ok=%v, want %s", matched, ok, wantLangGraphRoute)
+	}
+	if rc == nil || rc.Name != runtimeLangGraph {
+		t.Fatalf("rc = %+v, want langgraph", rc)
+	}
+	// exact target match.
+	if m, _, _, okExact := lookupRoute(wantLangGraphRoute, runtimeLangGraph); !okExact || m != wantLangGraphRoute {
+		t.Fatalf("LangGraph exact target: matched=%q ok=%v", m, okExact)
+	}
+	// bare runtime target.
+	if m, _, _, okBare := lookupRoute(runtimeLangGraph, runtimeLangGraph); !okBare || m != wantLangGraphRoute {
+		t.Fatalf("LangGraph bare target: matched=%q ok=%v", m, okBare)
+	}
+}
+
 // TestLookupRouteMAF proves the second runtime resolves through the SAME flat
 // router with zero handler changes (plan §8 — "the router already handles the
 // second runtime").
@@ -116,7 +139,7 @@ func TestLookupRouteAliasTargetEmptyRuntime(t *testing.T) {
 // TestIsRegisteredRuntime locks the validator's seam: every canonical runtime and
 // the alias are registered; an unknown name is not.
 func TestIsRegisteredRuntime(t *testing.T) {
-	for _, name := range []string{runtimePydca, runtimeMAFName, runtimeMAFAls} {
+	for _, name := range []string{runtimePydca, runtimeMAFName, runtimeMAFAls, runtimeLangGraph} {
 		if !IsRegisteredRuntime(name) {
 			t.Errorf("IsRegisteredRuntime(%q) = false, want true", name)
 		}

pkg/utils/const.go

@@ -19,6 +19,9 @@ const (
 	// write in `runtime:`; it resolves to RuntimeMAF (see CanonicalRuntime).
 	RuntimeMAFAlias = "maf"
 
+	// RuntimeLangGraph is the LangChain/LangGraph runtime adapter.
+	RuntimeLangGraph = "langgraph"
+
 	// ProviderOpenAICompatible is the only model provider supported in v0.
 	ProviderOpenAICompatible = "openai-compatible"
 

pkg/utils/runtime.go

@@ -33,6 +33,10 @@ var Runtimes = []RuntimeSpec{
 		Aliases:           []string{RuntimeMAFAlias}, // "maf" → "microsoft-agent-framework"
 		DefaultAdapterRef: "ghcr.io/sozercan/agentkit/serve-maf:latest",
 	},
+	{
+		Name:              RuntimeLangGraph,
+		DefaultAdapterRef: "ghcr.io/sozercan/agentkit/serve-langgraph:latest",
+	},
 }
 
 // DefaultRuntime is the runtime used when an agentkitfile does not name one. It is

pkg/utils/runtime_test.go

@@ -15,6 +15,7 @@ func TestCanonicalRuntime(t *testing.T) {
 		RuntimePydanticAI:  RuntimePydanticAI,  // canonical → itself
 		RuntimeMAF:         RuntimeMAF,         // canonical → itself
 		RuntimeMAFAlias:    RuntimeMAF,         // alias → canonical
+		RuntimeLangGraph:   RuntimeLangGraph,   // canonical → itself
 		nonexistentRuntime: nonexistentRuntime, // unknown returned verbatim
 	}
 	for in, want := range cases {
@@ -25,7 +26,7 @@ func TestCanonicalRuntime(t *testing.T) {
 }
 
 func TestIsKnownRuntime(t *testing.T) {
-	for _, name := range []string{RuntimePydanticAI, RuntimeMAF, RuntimeMAFAlias} {
+	for _, name := range []string{RuntimePydanticAI, RuntimeMAF, RuntimeMAFAlias, RuntimeLangGraph} {
 		if !IsKnownRuntime(name) {
 			t.Errorf("IsKnownRuntime(%q) = false, want true", name)
 		}
@@ -37,10 +38,10 @@ func TestIsKnownRuntime(t *testing.T) {
 	}
 }
 
-func TestKnownRuntimesContainsBoth(t *testing.T) {
+func TestKnownRuntimesContainsAll(t *testing.T) {
 	got := KnownRuntimes()
 	sort.Strings(got)
-	want := []string{RuntimeMAF, RuntimePydanticAI}
+	want := []string{RuntimeLangGraph, RuntimeMAF, RuntimePydanticAI}
 	if len(got) != len(want) {
 		t.Fatalf("KnownRuntimes() = %v, want %v", got, want)
 	}

runtimes/catalog/langgraph.yaml

@@ -0,0 +1,13 @@
+# AgentKit runtime catalog entry — documentation only.
+#
+# Purpose: names the "langgraph" runtime adapter and its default adapter image.
+# The converter uses this adapter image as the LLB BASE and merges the resolved
+# /agent/agent.yaml layer on top; the image then serves the same OpenAI /v1
+# façade as the pydantic-ai and Microsoft Agent Framework runtimes — byte-for-byte
+# ABI compatible. Select it from an agentkitfile with `runtime: langgraph`.
+# Override the adapter per build with `--build-arg adapter=<ref>` (the local dev
+# loop points it at `agentkit-serve-langgraph:test`). Nothing parses this file in
+# v0 — it is the human-readable catalog entry for this runtime.
+apiVersion: v1alpha1
+runtime: langgraph
+adapter: ghcr.io/sozercan/agentkit/serve-langgraph:latest

runtimes/common/agentkit_serve_common/conformance.py

@@ -43,7 +43,17 @@
 # Framework/model-SDK roots that must NOT be imported outside an adapter's
 # agent_factory.py. The union across adapters is fine: each adapter only has one
 # of these installed, so listing all is harmless and keeps this test shared.
-_FRAMEWORK_SDK_ROOTS = {"agent_framework", "pydantic_ai", "openai"}
+_FRAMEWORK_SDK_ROOTS = {
+    "agent_framework",
+    "pydantic_ai",
+    "openai",
+    "langchain",
+    "langchain_core",
+    "langchain_mcp_adapters",
+    "langchain_openai",
+    "langgraph",
+    "mcp",
+}
 
 
 def test_healthz_open(make_client):