ProjAnvil / langchain-golang

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  "data": {
    "repo": {
      "topics": [
        "ai-agent",
        "golang",
        "langchain",
        "langchain-go"
      ],
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        "Go": 1687416,
        "Makefile": 743
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      "pushed_at": "2026-07-16T09:50:25Z",
      "created_at": "2026-07-01T17:43:31Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-16T16:09:44Z",
      "description": "A community Go port of LangChain",
      "is_archived": false,
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      "license_spdx": "MIT",
      "default_branch": "main",
      "license_spdx_raw": "MIT",
      "primary_language": "Go",
      "significant_languages": [
        "Go"
      ]
    },
    "owner": {
      "blog": null,
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      "login": "ProjAnvil",
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    "activity": {
      "releases": [
        {
          "tag": "v0.3.2",
          "kind": "patch",
          "published_at": "2026-07-16T09:50:25Z"
        },
        {
          "tag": "v0.3.1",
          "kind": "patch",
          "published_at": "2026-07-05T10:46:34Z"
        },
        {
          "tag": "v0.3.0",
          "kind": "minor",
          "published_at": "2026-07-05T09:25:56Z"
        },
        {
          "tag": "v0.2.0",
          "kind": "minor",
          "published_at": "2026-07-05T05:58:12Z"
        },
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2026-07-02T17:01:39Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2026-07-01T17:58:04Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "7e1ae3d175011fa24f6b92b9175aad36b917fa8a",
          "body": "Adds a bullet to the agents.CreateAgent feature list pointing to the\nnew Subagents usage guide, and notes the nested non-streaming invoke\nno longer leaks into a streaming parent's stream.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(readme): note subagent (agent-as-tool) support",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-16T09:27:09Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "b0b540081d49c411e86a65375b23fdf2155aee0e",
          "body": "Mirrors langchain_v1's\ntest_subagent_transformer.py::test_unnamed_inner_agent_surfaces_with_inherited_name:\nan inner agent built without WithAgentName, run inside a named\nsupervisor's tool, observes the parent's name via NameFromContext,\nbecause withRunTags is a no-op when Agent.Name is empty.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(agents): cover unnamed subagent inheriting parent name",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-16T09:09:12Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "3d6c3480efa7d1dbd8f694df7ddcdeaab647ca84",
          "body": "The Subagents snippet used tools.NewFunc/Result/Tool while the rest of\nthe file and the runnable example use the coretools alias; a reader\ncopying the snippet would get 'undefined: tools'. Aligns the snippet to\ncoretools.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(agents): use coretools alias in subagent snippet",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-15T22:23:18Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "bb9fa46289fd45965f0405da5d29fa4355e0ae03",
          "body": "Adds a runnable ExampleCreateAgent_subagent and a 'Subagents\n(agent-as-tool)' section to docs/usage/agents.md, mirroring Python's\nhand-rolled @tool + agent.invoke() pattern, including the nested-run\nname propagation note and the streaming limitation.\n\nNote: the example uses the package's sequenceMod\n[…]\nannot advance a multi-response\nsequence across CreateAgent's per-iteration re-bind; the copyable\nartifact (the subagent tool body) uses only public API.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(agents): document the subagent (agent-as-tool) pattern",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-15T22:14:34Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1db55114d29e2e583df36426944bda9a97eded73",
          "body": "Adds characterization tests mirroring langchain_v1's\ntest_subagent_transformer.py invocation: core delegation, name\npropagation into the nested run (NameFromContext), inner-agent error\nsurfacing as a tool message, and one level of nesting.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(agents): cover agent-as-tool subagent pattern",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-15T21:57:12Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "bd62a6f948ec499c6ef0aad90647f947deb96288",
          "body": "InvokeWithState now sets a sentinel context key that sinkFromContext\nhonors, so a nested non-streaming invoke (e.g. a subagent tool called\nfrom inside a StreamEvents parent) never emits the nested run's\nmodel_delta events into the parent stream, and keeps the model cache\ngate enabled. Adds subagent_test.go with the regression test and the\nshared test helpers.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(agents): non-streaming invoke must not leak streaming events",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-15T21:50:04Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "8d809b0a69002eda93cc048a008c7acbe4c86ae9",
          "body": "Add a docs/ tree with example-driven, offline-friendly usage guides (every\nsnippet uses the in-tree FakeChatModel unless noted):\n\n- docs/README.md (index)\n- docs/usage/getting-started.md (install, first agent, partner models)\n- docs/usage/composition.md (LCEL Pipe/Pipe3-6, Parallel, Branch, Fallback\n[…]\npts)\n- docs/usage/streaming.md (StreamEvents)\n\nLink them from a new Documentation section in the README; bump the install\nref and preview tag to v0.3.1.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: add usage guides and link from README",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T10:45:57Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3c1337c801bc7aaeb76b82c981794158bb538c8a",
          "body": "Add Pipe, Pipe3, Pipe4, Pipe5, Pipe6 — the Go equivalent of Python LCEL's\npipe operator (a | b | c). Go has no operator overloading, so the | spelling\nis impossible; Pipe* are the type-safe free-function equivalent.\n\nEach Pipe* checks the type chain (I -> A -> B -> ... -> O) at compile time\nat the c\n[…]\nma, ConfigSchema. Pipe is the\nzero-error variant of NewSequence: a nil runnable panics at construction\nrather than threading an error through the chain.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(core/runnables): LCEL-style Pipe/Pipe3-6 composition",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T10:45:57Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e4c56bf979869f7368476e37560e57d3eb3be06e",
          "body": "Co-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(readme): update for v0.3.0 — anthropic + ollama partners",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T09:25:39Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "43b84048e0ebd1a013bb6aa02e5944840520f053",
          "body": "Extends the existing recordingWrapModelCallMiddleware pattern\n(create_agent_test.go:180) to all six hook surfaces in one CreateAgent run:\nBeforeAgent → (BeforeModel → WrapModelCall → WrapToolCall → AfterModel) →\nAfterAgent, with two stacked middleware to assert outer→inner nesting\n(first-listed is outermost, per Python's wrap_model_call docstring types.py:503).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(agents): full-stack middleware ordering integration test",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T09:08:27Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "4dcb00fe687d413d7b5c1591fe28839093ba5ee7",
          "body": "Mirrors Python's _find_safe_cutoff_point (summarization.py:762-796): when a\ntoken- or message-budget cutoff lands on a ToolMessage, walk back to the\nAIMessage that issued the matching tool_call so the kept suffix never starts\nwith orphaned tool responses. Applied in both keepStart paths (token + count).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(summarization): AI/Tool pair-safety cutoff (snap back to AIMessage)",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T09:00:24Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "cc049e7730f0b8a1d87fa7aebd1d9a4689cbc410",
          "body": "…rs/token) + reported-tokens signal\n\nMirrors Python's _get_approximate_token_counter (summarization.py:208-216):\nan anthropic-chat model (detected via the Task-1 LLMType duck-type) selects the\n3.3 chars/token counter; other models keep the default. Also adds\nshouldSummarizeBasedOnReportedTokens (sum\n[…]\nAI\nmessage's usage_metadata.total_tokens triggers summarization when it crosses\nthe threshold and its model_provider matches the model's LLMType prefix.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(summarization): provider-aware token counting (anthropic 3.3 cha…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:48:16Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e916f1a46ba51ff881bce0a2511278518d5055e8",
          "body": "…/model_settings/state\n\nMirrors the 4 keys absent from Go but present in Python's _ModelRequestOverrides\n(langchain_v1/.../middleware/types.py:72-82). State/ModelSettings are cloned so\nOverride never mutates the original request, matching the existing option semantics.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(middleware): ModelRequest.Override() tool_choice/response_format…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:45:17Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "27f38985e323a6823ab72c172f97f93ebfb28ee7",
          "body": "Closes the openai-style real-partner gap for ollama: init.go self-registers the\n'ollama' factory into chatmodels.Resolve (reading OLLAMA_HOST as base URL;\ndefault http://localhost:11434), LLMType() returns 'ollama-chat', and a package\ndoc orients callers. WithAgentModel('ollama:...') now resolves end-to-end.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(ollama): self-register factory, env provisioning, LLMType, doc",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:38:00Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "84b4530483f22e1c67ae0aee22273efe34724c71",
          "body": "Mirrors Python's default with_structured_output(method='json_schema')\n(langchain_ollama/chat_models.py:1448,1751): WithStructuredOutput sets the\nrequest format to the JSON schema, then Invoke returns conforming JSON text.\nMakes ollama.ChatModel satisfy language.StructuredCaller (compile guard).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(ollama): InvokeStructured via json_schema format (StructuredCaller)",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:30:19Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "5ffcacdd49b00de0faefd2834687505208a25c64",
          "body": "Closes the openai-style real-partner gap for anthropic: init.go self-registers\nthe 'anthropic' factory into chatmodels.Resolve (reading ANTHROPIC_API_KEY and\nANTHROPIC_API_URL→ANTHROPIC_BASE_URL, per langchain_anthropic/chat_models.py:949),\nLLMType() returns 'anthropic-chat', toMessage tags model_provider='anthropic',\nand a package doc orients callers. WithAgentModel('anthropic:...') now resolves.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(anthropic): self-register factory, env provisioning, LLMType, doc",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:25:00Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "299a554731bea45d609f11ab8df51dc11921d185",
          "body": "…ler)\n\nMirrors Python's default with_structured_output(method='function_calling')\n(langchain_anthropic/chat_models.py:1938,2050): synthesize one tool from the\nschema, force tool_choice to it, invoke, return a message whose Content is the\nJSON of the tool_use input args. Makes anthropic.ChatModel satisfy\nlanguage.StructuredCaller (package-level compile guard).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(anthropic): InvokeStructured via function_calling (StructuredCal…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:16:45Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "81ad1922cb9b43e6995f2c9bd0f74922cdf788ac",
          "body": "…ements it\n\nMirrors Python's BaseChatModel._llm_type attribute (langchain_v1/.../summarization.py:208-216).\nopenai ChatModel.LLMType() returns 'openai-chat'; toMessage also tags\nmodel_provider='openai' in ResponseMetadata for the summarization\nreported-tokens provider-match gate. LLMType is optional (duck-typed),\nso it does not change core/language.ChatModel.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(middleware,openai): add LLMType duck-type interface; openai impl…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T08:10:14Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "f78a52aec5a05566456b8f6bb6458ed0d6a3710f",
          "body": "- agents/structured_output_test.go: ProviderStrategy native path with non-nil tools (BindTools-before-StructuredCaller ordering)\n- middleware/tool_selection_test.go: structured-precedence-over-callback combined case\n- middleware/tool_emulator_test.go: structured-precedence-over-callback combined case\n- agentruntime/graph Options.Resume doc: note how to force a fresh start\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "post-v0.2.0: close coverage gaps from final review",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T07:04:36Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "17b6526bdb808165e23b82a900f2db63ab15fff3",
          "body": "- chatmodels/resolve.go: drop false errors.Is doc claims (type has no Is method)\n- partners/openai: hoist StructuredCaller compile-guard to package level (prod builds too)\n- chatmodels/resolve_test.go: replace containsSubstring helper with strings.Contains\n- middleware/tool_emulator.go: split missing-key vs wrong-type parse errors\n- core-v1-migration-todo.md: fix stale \"blocked on streaming layer\" subagent-transformer clause\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "post-v0.2.0: cheap polish from final whole-branch review",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T07:02:19Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "7ec17eae7a8048375b447969c89eaa572decc38c",
          "body": "…elta\n\nReflect the v1-final-parity work:\n- bump version refs (v0.1.0 → v0.2.0) and test count (800+ → 920+)\n- CreateAgent: document store/cache/interrupt_before/interrupt_after/\n  WithAgentModel(\"provider:model\")/callable tools (FromFunc); note\n  AutoStrategy + ProviderStrategy native (StructuredCal\n[…]\nIS delivered,\n  chatmodels CAN construct from a bare name (Resolve), core/tools HAS\n  FromFunc callable inference; only `transformers` stays not-exposed\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(readme): update for v0.2.0 — parity, openai partner, streaming d…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T05:53:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "2129ff8e11c3306191431cfd9336a0e27002987b",
          "body": "Add deterministic, offline Go Example* functions (godoc convention; run\nas tests) for the key user-facing APIs added in Phases 1-5:\n\n- core/tools.ExampleFromFunc_struct: builds a tool from a Go func via\n  FromFunc, prints the reflected schema (sorted property names + the\n  required field list, both \n[…]\nnline fake factories; no\nreal network, no env dependency. Each has a deterministic // Output block.\nSuite green: 926 passed (921 baseline + 5 examples).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: runnable Example functions for core APIs",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T05:31:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "495a9ed8de59adcbbc9cd44057f9f1386ad5c947",
          "body": "Add orienting package doc comments (doc.go) for the five packages whose\npublic surface grew in Phases 1-5 of the v1-final-parity plan:\n\n- core/tools: documents NewSimple/NewFunc/NewStructuredFunc plus the\n  Phase 2 FromFunc(name, desc, fn) Go-func reflection helper.\n- core/language: documents ChatMo\n[…]\nI_API_KEY/OPENAI_BASE_URL env), and that\n  anthropic/ollama/chroma remain adapter-only.\n\nNo production logic changes; build/vet/test green (921 passed).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: package doc comments for v1 final parity",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T05:27:32Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5aafc611c66cf4fbaa7d4054457ccdddaf41fb94",
          "body": "Task 5.7 Part B (capstone of the chatmodels partner track). Closes the\nloop on `CreateAgent(..., WithAgentModel(\"openai:gpt-4o\"))`:\nWithAgentModel stores a ModelString on AgentOptions; CreateAgent now\napplies options BEFORE the nil-model check and, when ModelString is set,\nresolves it via chatmodels\n[…]\nssed (was 911), 0\nfailed; 10 new test entries across Part A (TestFactoryReadsEnvForResolve\nin partners/openai) and Part B (TestCreateAgent_ModelString).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): `model` accepts bare provider:model strings",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T05:03:04Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9b237e3ab291afbcbc3871075ba927f06c7bbb42",
          "body": "Task 5.7 Part A. The Task 5.6 review flagged that openaiFactory only set\nthe model name and relied on modelconfig for the rest, but modelconfig\ndeliberately does NOT read env vars (verified: no os.Getenv in\ncore/modelconfig). Without this, WithAgentModel(\"openai:gpt-4o\") (Task\n5.7 Part B) would prod\n[…]\nd/vet/test ./... green. 914 passed; one known\nintermittent flake (TestToolNodeInvokeParallelPreservesOrder) passes in\nisolation and is not a regression.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(partners/openai): factory reads OPENAI_API_KEY/OPENAI_BASE_URL env",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:57:39Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3adf031440827eb82038cb41a4e7fef4599f283d",
          "body": "Add partners/openai/init.go whose init() registers an openaiFactory under\n\"openai\" in the chatmodels provider registry (landed in Task 5.1). This\nmakes chatmodels.Resolve(ChatModelSpec{Provider:\"openai\", Model:...})\nproduce an openai.ChatModel, so WithAgentModel(\"openai:...\") can resolve\nend-to-end \n[…]\n\n  path works through Resolve).\n- TestResolveOpenAINormalizesProvider: case-insensitive provider names\n  (\"OpenAI\", \"OPENAI\") hit the same registration.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(partners/openai): self-register into chatmodels.Resolve",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:43:36Z",
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        },
        {
          "oid": "25613ce5eb346e8db11200f6fed64afcf64ed1fd",
          "body": "…ed output\n\nAdd ChatModel.InvokeStructured, the language.StructuredCaller interface\nmethod used by the agent's ProviderStrategy native path\n(agents.invokeModel -> language.InvokeStructured). It derives a\nresponse_format name from the schema's \"title\" (falling back to\n\"response_format\"), then delegat\n[…]\ntructuredDefaultName: schema without title -> name\n  defaults to \"response_format\".\n- Compile-time guard: var _ language.StructuredCaller = ChatModel{}.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(partners/openai): implement StructuredCaller for native structur…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:41:36Z",
          "body_truncated": true,
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        },
        {
          "oid": "c298f23640624147f4071a638b89735baa5fd539",
          "body": "Add the Go-side provider factory registry that the v1-final-parity\nCreateAgent needs for WithAgentModel(\"openai:gpt-4o-mini\"):\n\n- ProviderFactory func type + RegisterProvider: partner packages (e.g.\n  partners/openai in Task 5.6) self-register in init() under a normalized\n  name. Registry is a sync.\n[…]\nests use unique fake provider names (test-fake-provider,\ntest-fake-provider-normalized) so they cannot collide with Task 5.6's\nreal openai registration.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain/chatmodels): provider registry + Resolve",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:26:27Z",
          "body_truncated": true,
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        },
        {
          "oid": "922b35ad1cf41b889c6a169772cc56bbad654870",
          "body": "When the configured Model (new WithToolEmulatorModel option) satisfies\nlanguage.ChatModel, route through language.InvokeStructured with a\nschema describing a single emulated-output string, then unwrap the\ndecoded output into a tool-result message — exactly mirroring the\nshape the ToolEmulationFunc c\n[…]\no external/agent-level\ncallers exist (grep -rn NewLLMToolEmulator langchain/agents/). The two\nexisting emulator tests are updated to the new call shape.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain/middleware): tool_emulator uses structured output",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:08:50Z",
          "body_truncated": true,
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        },
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          "oid": "5979b707c424814df69151ba30f74380a8f2a6f1",
          "body": "When the resolved Model (m.Model, else request.Model) satisfies\nlanguage.ChatModel, route through language.InvokeStructured with a\nschema that constrains the model to the valid tool names (an enum\narray), then feed the decoded names into the existing\nprocessSelectionResponse so MaxTools / AlwaysIncl\n[…]\nred structuredFakeChatModel test fake (implements both\nlanguage.ChatModel and language.StructuredCaller) reused by the\nemulator test in the next commit.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain/middleware): tool_selection uses structured output",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T04:07:04Z",
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          "oid": "5cd47dc9f5b5604fc7465fd9e8d7a219d92f982b",
          "body": "When the agent's ResponseFormat is a ProviderStrategy and the bound\nmodel implements language.StructuredCaller, route the model call through\nlanguage.InvokeStructured instead of plain model.Invoke. This is the\nprovider-native structured-output path (e.g. OpenAI's response_format)\nthat Phase-5 partne\n[…]\naken,\nInvoke not called) and TestProviderStrategyFallsBackWithoutStructuredCaller\n(fallback Invoke + post-hoc parse still extracts structured_response).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): ProviderStrategy uses native structured output",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-05T03:49:00Z",
          "body_truncated": true,
          "is_coding_agent": true
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          "oid": "9d2126e3c4e64aeb004a6d5b348851c3a5513c76",
          "body": "Add `AutoStrategy.Resolve(model)` which selects a concrete strategy from the\nagent model's declared capabilities, mirroring Python's auto-mode in\n`_select_response_format`: ToolStrategy when `Capabilities().ToolCalling`,\nelse ProviderStrategy when `Capabilities().StructuredOutput`, else a typed\n*Str\n[…]\ncking stays single-sourced. A nil\n*AutoStrategy is a no-op (no strategy, no error), matching nil-pointer\nsemantics for the other strategy pointer cases.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): `AutoStrategy` structured-output selection",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T18:00:58Z",
          "body_truncated": true,
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          "oid": "01d3e47a559c514edf2cece404d013f14e5f9ca4",
          "body": "Add StructuredCaller interface, ErrSchemaViolation sentinel, and\nInvokeStructured helper. Models implementing StructuredCaller use a\nprovider-native path; others fall back to Invoke + best-effort JSON\ndecode + required-key validation against schema.Schema.\n\nThis is the shared foundation for Phase 4 (AutoStrategy, ProviderStrategy\nnative kwargs, tool_selection, tool_emulator) and Phase 5 (openai\npartner structured output).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(core/language): generic structured-output call path",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T17:46:32Z",
          "body_truncated": false,
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          "oid": "bf6c37efc4bcee62c0e26c1f49b0a2c95bbaa020",
          "body": "Review fixes for Task 3.2 (PIIStreamTransformer, commit b8c3750):\n\nFix 1 - false-positive reset loses held tail: the terminal-detection branch\n(re-delivery of full text) used to clear the held lookback buffer. A per-delta\ncall that coincidentally starts with the accumulated rawSeen would trigger\nthi\n[…]\nomplete (Fix 2)\n- TestPIIStreamTransformer_FlushConcurrentWithDeltas (race, -race clean)\n\nAll 874 tests pass (baseline 871 + 3 new); go vet -race clean.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(langchain/middleware): robust PII stream reset + Flush race",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T17:34:25Z",
          "body_truncated": true,
          "is_coding_agent": true
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        {
          "oid": "b8c37509a12f6371d2f509c2f4e2787b2a28abde",
          "body": "Add PIIStreamTransformer, a WrapModelStreamHook that redacts PII from\nstreaming model deltas using a lookback buffer. Catches patterns split\nacross chunk boundaries (e.g. 'SSN' + '-123') that the batch\nPIIMiddleware cannot see.\n\nThe transformer holds back a trailing tail sized to the longest pattern\n[…]\no the Go middleware\nstreaming surface (single text content block from streamChunkBridge;\nmulti-block native-v3 streaming is out of scope for this port).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain/middleware): PII streaming-delta redaction",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T16:25:55Z",
          "body_truncated": true,
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          "oid": "2b85dcfc7093f6bf487bf9509c8e2ac8a4f5b00d",
          "body": "…ct finish-event text\n\nTwo review fixes on Task 3.1 (WrapModelStreamHook, commit 52abf7e):\n\n1. Composition order: the streaming-transform loop iterated forward\n   (mws[0]..mws[n-1]), making mws[n-1] outermost at execution. WrapModelCall\n   and WrapToolCall iterate backward so mws[0] is outermost. Re\n[…]\n865 + 1 new test); build + vet clean.\nagentruntime boundary held (no stream modes); non-streaming invokeModel and\nno-middleware identity path unchanged.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(langchain): streaming-transform order matches WrapModelCall; reda…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T15:37:10Z",
          "body_truncated": true,
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          "oid": "52abf7eb177aea7a4ca1a8ef4c57e44e9de827e7",
          "body": "Add WrapModelStreamHook + DeltaTransform so middleware can observe and\nrewrite model deltas during a streaming model call (Agent.StreamEvents /\ngraph.InvokeStream). This is the bounded middleware-facing streaming\nsurface this port exposes for PII streaming-delta redaction (Task 3.2);\nit is NOT langg\n[…]\npModelStreamHook middleware rewrites each delta and that a secret is\nredacted end-to-end (in both model_delta text and the assembled model_end\nmessage).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): middleware-facing streaming delta hook",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T15:18:51Z",
          "body_truncated": true,
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        {
          "oid": "bc3ce50220e06d79324967a2de3b5beae2806db2",
          "body": "…imitations\n\nreflectStructSchema called parseJSONTag but never supplied the field-name\nfallback that the brief, FromFunc's doc comment, and parseJSONTag's own\ndoc comment all promise. A field with no json tag or an options-only tag\n(e.g. json:\",omitempty\") was stored under props[\"\"], producing a\nbro\n[…]\nthe Go field names, that the empty-string key is\nabsent, the required policy holds, and that invoking with those keys\nround-trips through encoding/json.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(core/tools): FromFunc json-tag fallback to field name; document l…",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T14:53:10Z",
          "body_truncated": true,
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        {
          "oid": "376b12fc17ba451c019b75c16320be944299994a",
          "body": "FromFunc(name, description, fn) reflects a Go function's argument type\ninto a schema.Schema and wraps it as a Func, mirroring Python's @tool\ndecorator over a function signature. Accepted shapes:\n\n  func(context.Context, T) (Result, error)        // T: struct or map[string]any\n  func(context.Context,\n[…]\no callers can classify failures with errors.Is.\n\nThis unblocks CreateAgent's `tools` parameter accepting plain callables\nalongside Tool implementations.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(core/tools): add FromFunc reflecting Go funcs into tools",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T14:39:59Z",
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        {
          "oid": "1572e396e0e00248964c82113d15c23e9cd985eb",
          "body": "Add node-boundary interrupts to the internal graph executor and wire them\nthrough CreateAgent, mirroring Python's\n`create_agent(interrupt_before=..., interrupt_after=...)`.\n\ngraph.go:\n- WithInterruptBefore/WithInterruptAfter CompileOptions + corresponding\n  interruptBefore/interruptAfter fields on C\n[…]\nruptBeforeNode\n(verifying the model is invoked exactly twice total — once before pause, once\nafter — confirming resume does not re-run completed nodes).\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): add `interrupt_before`/`interrupt_after` to CreateAgent",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T14:10:30Z",
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          "body": "…docs\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(langchain): cache skips tool-call + streaming responses; correct …",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
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          "oid": "a653d56251c093c035df32050f476be129304770",
          "body": "Co-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): wire `cache` param into CreateAgent",
          "author_name": "yuhaochen",
          "author_login": "HoweChen",
          "committed_at": "2026-07-04T13:12:41Z",
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          "oid": "511bfb18f32abaf4dcbea02ca86cc28829fafa82",
          "body": "Mirrors Python's `create_agent(store=...)` by adding:\n- WithAgentStore(stores.BaseStore[any]) AgentOption\n- AgentOptions.Store field\n- middleware.ToolCallRequest.Store field + WithStore override\n- agenttools.ToolCallRequest.Store field + WithToolNodeStore option\n- Store propagation through newToolsN\n[…]\ntedStore; tools read the store explicitly\noff ToolCallRequest.Store, mirroring the existing convention of passing\ngraph state via ToolCallRequest.State.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(langchain): wire `store` param into CreateAgent",
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          "body": "… test suite\n\n- integration test suite: gated by //go:build integration + .env config + make test-integration; covers ChatModel Invoke/Stream, CreateAgent tool loop, and StreamEvents against OpenAI/Anthropic-compatible endpoints.\n\n- anthropic/openai partners: detect responses that parsed to an all-z\n[…]\n wrong BASE_URL/model) and return an explicit error instead of a silently-empty Message.\n\n- .env.example: document BASE_URL must include the /v1 suffix.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(providers): surface empty/error responses loudly; add integration…",
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          "body": "Community Go port of LangChain (langchain_core + langchain_v1 + langchain_text_splitters + langchain-tests + model-profiles) with a scoped internal graph runtime backing agents.CreateAgent. See README for the supported/out-of-scope feature matrix.\n\nCo-Authored-By: Claude <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore: initial public release v0.1.0",
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        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 26,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                    "dangerous_workflow",
                    "packaging",
                    "pinned_dependencies",
                    "signed_releases",
                    "token_permissions"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 26,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 12,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 6,
              "scorecard_aggregate": 2.6
            },
            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection not enabled on development/release branches",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
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                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "no dependencies found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "No tokens found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 80,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [
                "docs/usage/agents.md"
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              "agent_instruction_max_bytes": 10625
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/usage/agents.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/usage/agents.md"
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
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                      "sampled": 45
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                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "openssf_scorecard_pinned_dependencies"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
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            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [
                "Makefile"
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              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 1,
              "toolchain_manifests": [
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              "dependency_bot_commit_share": 0
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            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
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                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "Go (statically typed)",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
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                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "45 of the last 45 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
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                "max_points": 10
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              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "no dependencies found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
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            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "oversized_source_files": 1
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                "key": "type_checkable_code",
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                "details": [
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                    "code": "statically_typed_language",
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                "max_points": 45
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              {
                "key": "manageable_file_sizes",
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                "points": 54.8,
                "status": "partial",
                "details": [
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                      "oversized": 1
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                  }
                ],
                "max_points": 55
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            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T02:00:40.361632Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/ProjAnvil/langchain-golang.svg",
  "full_name": "ProjAnvil/langchain-golang",
  "license_state": "standard",
  "license_spdx": "MIT"
}