Merge pull request #2 from inline-arc/testing

[inline-arc]

memory

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[inline-arc]

@agentwaspai

[agentwaspai]

Hey! You mentioned me. Here's what I can do...

[inline-arc]

@agentwaspai explain the PR above and diff the changes

[agentwaspai]

Hey! You mentioned me. Here's what I can do...

[inline-arc]

@agentwaspai

[agentwaspai]

Hey! You mentioned me. Here's what I can do...

[inline-arc]

@agentwaspai

[agentwaspai]

Hey! You mentioned me. Here's what I can do...

[inline-arc]

@agentwaspai

[agentwaspai]

Hey! You mentioned me. Here's what I can do...

[agentwaspai]

Error: Recall failed: 500

[inline-arc]

@agentwaspai /ask what is pr context ?

[agentwaspai]

Error: Recall failed: 500

[inline-arc]

@agentwaspai /ask what is pr context ?

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': '## PR Context\n\n- Definition – The PR (pull‑request) context is the surrounding information that explains why a PR exists and what it intends to change. \n- Typical elements \n - A brief description of the feature, bug‑fix, or refactor. \n - The list of files or modules affected. \n - References to related tickets, issues, or design documents. \n - Any assumptions, constraints, or migration steps required. \n- Why it matters – Reviewers use the context to evaluate whether the changes align with the intended goal, to spot missing tests or documentation, and to assess impact on the rest of the codebase. ', 'score': None, 'dataset_id': 'dc73590d-b20f-548b-9bcf-edd659f0a743', 'dataset_name': 'default_dataset', 'metadata': {}, 'raw': {'value': '## PR Context\n\n- Definition – The PR (pull‑request) context is the surrounding information that explains why a PR exists and what it intends to change. \n- Typical elements \n - A brief description of the feature, bug‑fix, or refactor. \n - The list of files or modules affected. \n - References to related tickets, issues, or design documents. \n - Any assumptions, constraints, or migration steps required. \n- Why it matters – Reviewers use the context to evaluate whether the changes align with the intended goal, to spot missing tests or documentation, and to assess impact on the rest of the codebase. '}, 'structured': None, 'source': 'graph'}

---

[2] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': '## PR Context\n\n- Definition – The set of information that describes a pull request and provides the background needed to evaluate it. \n- Typical components \n - PR metadata: number, title, description, author, target branch. \n - List of changed files and the line‑by‑line diff. \n - Commit history (messages, SHAs) for the PR. \n - Associated labels, linked tickets/issues, and any review comments. \n\nThis context lets reviewers understand why the PR exists, what it changes, and how it fits into the larger codebase.', 'score': None, 'dataset_id': '853aa850-f8a8-5fe3-8fcd-90e7cac6a9cf', 'dataset_name': 'agent_memory_dataset', 'metadata': {}, 'raw': {'value': '## PR Context\n\n- Definition – The set of information that describes a pull request and provides the background needed to evaluate it. \n- Typical components \n - PR metadata: number, title, description, author, target branch. \n - List of changed files and the line‑by‑line diff. \n - Commit history (messages, SHAs) for the PR. \n - Associated labels, linked tickets/issues, and any review comments. \n\nThis context lets reviewers understand why the PR exists, what it changes, and how it fits into the larger codebase.'}, 'structured': None, 'source': 'graph'}

---

[3] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': '## PR Context\n\n- Definition – The set of information that describes why a pull request (PR) was opened and what it intends to change. \n- Typical elements \n - PR metadata: number, title, description, author, target branch. \n - List of files or modules affected. \n - The diff – line‑by‑line additions and deletions. \n - Commit history – ordered commit messages and SHAs for the PR. \n - Associated data: related tickets/issues, labels, reviewers, and review comments. \n- Why it matters – Provides reviewers with the background needed to evaluate whether the changes align with the intended goal, to spot missing tests or documentation, and to gauge the impact on the rest of the codebase.\n\nSummary: PR context is the collection of metadata, diff, commits, and related references that together explain a PR’s purpose and scope, enabling informed code‑review decisions.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': '## PR Context\n\n- Definition – The set of information that describes why a pull request (PR) was opened and what it intends to change. \n- Typical elements \n - PR metadata: number, title, description, author, target branch. \n - List of files or modules affected. \n - The diff – line‑by‑line additions and deletions. \n - Commit history – ordered commit messages and SHAs for the PR. \n - Associated data: related tickets/issues, labels, reviewers, and review comments. \n- Why it matters – Provides reviewers with the background needed to evaluate whether the changes align with the intended goal, to spot missing tests or documentation, and to gauge the impact on the rest of the codebase.\n\nSummary: PR context is the collection of metadata, diff, commits, and related references that together explain a PR’s purpose and scope, enabling informed code‑review decisions.'}, 'structured': None, 'source': 'graph'}

---

[4] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR context is the set of information that describes a pull request and is used to ground answers or code‑review decisions. It typically includes:\n\n- Metadata – PR number, title, description, author, target branch. \n- Changed files – list of files touched, additions/deletions. \n- Diff – the actual line‑by‑line changes (the ---/+++ view). \n- Commit history – ordered commit messages and SHA’s for the PR. \n- Associated metadata – labels, reviewers, review comments, and any related events.\n\nIn the knowledge graph, pr #5 (e.g., “Fix adding error handling to getUserById”) together with its diff and author is an example of PR context that the Ask and Review agents use to ground their responses.', 'score': None, 'dataset_id': 'a0fe2a1f-ca9b-5d79-b353-0303d86ec04c', 'dataset_name': 'default_session', 'metadata': {}, 'raw': {'value': 'PR context is the set of information that describes a pull request and is used to ground answers or code‑review decisions. It typically includes:\n\n- Metadata – PR number, title, description, author, target branch. \n- Changed files – list of files touched, additions/deletions. \n- Diff – the actual line‑by‑line changes (the ---/+++ view). \n- Commit history – ordered commit messages and SHA’s for the PR. \n- Associated metadata – labels, reviewers, review comments, and any related events.\n\nIn the knowledge graph, pr #5 (e.g., “Fix adding error handling to getUserById”) together with its diff and author is an example of PR context that the Ask and Review agents use to ground their responses.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

Error: Recall failed: 500

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': '## PR Commit History\n\n- Definition – The PR (pull‑request) commit history is the ordered list of commits that make up a pull request. Each entry records a snapshot of the code (its SHA), the author, timestamp, and commit message, and links to its parent commit(s).\n\n- Purpose – Shows how the changes evolved, lets reviewers trace the introduction of each feature, bug‑fix, or refactor, and helps identify where regressions or unwanted modifications may have been added.\n\n- Typical elements (from the provided graph) \n - Commits: be5cd5b3, 057b9821, 2c4d5449, ae5c2895…, 42afa121…, 215ebb24…, 98ec5e00, 8e72dfc, 32ccbac7, 6c1135c0, etc. \n - Parent relationships: \n - ae5c2895… → parent 42afa121… \n - 42afa121… → parent 9096906d… \n\n- Best‑practice considerations \n - Write clear, descriptive commit messages (what changed and why). \n - Keep commits atomic: each commit should represent a single logical change. \n - Ensure the history is logical and builds successfully after each commit; squash or rebase noisy histories when the project prefers a linear timeline. \n\nSummary: The PR commit history is the sequential record of all commits (with their metadata and parent links) that constitute a pull request, providing essential context for understanding and reviewing the changes.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': '## PR Commit History\n\n- Definition – The PR (pull‑request) commit history is the ordered list of commits that make up a pull request. Each entry records a snapshot of the code (its SHA), the author, timestamp, and commit message, and links to its parent commit(s).\n\n- Purpose – Shows how the changes evolved, lets reviewers trace the introduction of each feature, bug‑fix, or refactor, and helps identify where regressions or unwanted modifications may have been added.\n\n- Typical elements (from the provided graph) \n - Commits: be5cd5b3, 057b9821, 2c4d5449, ae5c2895…, 42afa121…, 215ebb24…, 98ec5e00, 8e72dfc, 32ccbac7, 6c1135c0, etc. \n - Parent relationships: \n - ae5c2895… → parent 42afa121… \n - 42afa121… → parent 9096906d… \n\n- Best‑practice considerations \n - Write clear, descriptive commit messages (what changed and why). \n - Keep commits atomic: each commit should represent a single logical change. \n - Ensure the history is logical and builds successfully after each commit; squash or rebase noisy histories when the project prefers a linear timeline. \n\nSummary: The PR commit history is the sequential record of all commits (with their metadata and parent links) that constitute a pull request, providing essential context for understanding and reviewing the changes.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR\u202f#3 – Summary of changes\n\n- Configuration (app.yml)\n - Enabled deployment_status, issue_comment, issues.\n - Added pull_request_review, pull_request_review_comment, discussion, and discussion_comment events.\n - Set issues permission to write and added discussions: write permission.\n\n- Probot app (index.js)\n - Replaced the demo deployment script with a full‑featured bot:\n - Defines BOT_NAME = "@agentwaspai".\n - Listens for issue_comment.created containing “/review”.\n - Pulls PR diff, file list, comments, review comments, reviews, and commits in parallel.\n - Logs raw data and posts a summarized comment back to the PR.\n - Added error handling for non‑PR comments.\n\n- New files\n - intro.js – introductory message and command table for the bot.\n - k8s/cognee-deployment.yml – Kubernetes manifest for the Cognee memory service.\n - Numerous memory package files:\n - memory/api/main.py\n - memory/cloud.test.py\n - memory/config/rules.py\n - memory/llm.py\n - memory/main.py\n - Rule files (ask.txt, claude.md, review.txt, rules.txt)\n - Corresponding __pycache__ binaries (auto‑generated).\n - Updated test suite file test/index.test.js.\n\n- Renames\n - memory/cognee.py renamed to deploy.yml (pure rename, no content change).\n\n- Other modifications\n - Minor tweaks to app.yml permissions block (added discussion permissions).\n - Updated import/export style and logging messages in the bot code.\n\nOverall impact: The PR expands the repository with a functional review bot, adds extensive memory‑related modules and tests, introduces Kubernetes deployment configuration, and refines the GitHub App permissions and event handling.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR\u202f#3 – Summary of changes\n\n- Configuration (app.yml)\n - Enabled deployment_status, issue_comment, issues.\n - Added pull_request_review, pull_request_review_comment, discussion, and discussion_comment events.\n - Set issues permission to write and added discussions: write permission.\n\n- Probot app (index.js)\n - Replaced the demo deployment script with a full‑featured bot:\n - Defines BOT_NAME = "@agentwaspai".\n - Listens for issue_comment.created containing “/review”.\n - Pulls PR diff, file list, comments, review comments, reviews, and commits in parallel.\n - Logs raw data and posts a summarized comment back to the PR.\n - Added error handling for non‑PR comments.\n\n- New files\n - intro.js – introductory message and command table for the bot.\n - k8s/cognee-deployment.yml – Kubernetes manifest for the Cognee memory service.\n - Numerous memory package files:\n - memory/api/main.py\n - memory/cloud.test.py\n - memory/config/rules.py\n - memory/llm.py\n - memory/main.py\n - Rule files (ask.txt, claude.md, review.txt, rules.txt)\n - Corresponding __pycache__ binaries (auto‑generated).\n - Updated test suite file test/index.test.js.\n\n- Renames\n - memory/cognee.py renamed to deploy.yml (pure rename, no content change).\n\n- Other modifications\n - Minor tweaks to app.yml permissions block (added discussion permissions).\n - Updated import/export style and logging messages in the bot code.\n\nOverall impact: The PR expands the repository with a functional review bot, adds extensive memory‑related modules and tests, introduces Kubernetes deployment configuration, and refines the GitHub App permissions and event handling.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR commit history – the ordered list of commits that make up the pull‑request, showing each snapshot (SHA), its author/date (when known) and how the commits are linked through parent relationships.\n\n### Commits present in the graph \n\n| SHA (short) | Message / note | Parent (if known) |\n|-------------|----------------|-------------------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | 9096906d… |\n| ae5c2895… | first call (2026‑06‑26) | 42afa121… |\n| 215ebb24… | events (2026‑06‑26) | – |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – (author unknown, 2026‑07‑06) | – |\n| 057b9821 | – (author unknown) | – |\n| 2c4d5449 | – (author unknown) | – |\n| 9f5b6db1 | – (author unknown) | – |\n| 98ec5e00 | – (author unknown) | – |\n| 32ccbac7 | – (author unknown) | – |\n| 6c1135c0 | – (author unknown) | – |\n| 8e72dfc5137fa… | – (repo‑specific entry) | – |\n\n### Key points for reviewers\n- Lineage: The only explicit chain is 9096906d… → 42afa121… → ae5c2895…. \n- Atomicity: Each commit should represent a single logical change (e.g., “first call”, “events”, merge). \n- Clarity: Commit messages such as first call and events give context; others need clearer messages before merging. \n- Order: Verify that the PR builds after each commit in the above sequence; consider squashing or rebasing noisy, unrelated commits into a cleaner linear history.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR commit history – the ordered list of commits that make up the pull‑request, showing each snapshot (SHA), its author/date (when known) and how the commits are linked through parent relationships.\n\n### Commits present in the graph \n\n| SHA (short) | Message / note | Parent (if known) |\n|-------------|----------------|-------------------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | 9096906d… |\n| ae5c2895… | first call (2026‑06‑26) | 42afa121… |\n| 215ebb24… | events (2026‑06‑26) | – |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – (author unknown, 2026‑07‑06) | – |\n| 057b9821 | – (author unknown) | – |\n| 2c4d5449 | – (author unknown) | – |\n| 9f5b6db1 | – (author unknown) | – |\n| 98ec5e00 | – (author unknown) | – |\n| 32ccbac7 | – (author unknown) | – |\n| 6c1135c0 | – (author unknown) | – |\n| 8e72dfc5137fa… | – (repo‑specific entry) | – |\n\n### Key points for reviewers\n- Lineage: The only explicit chain is 9096906d… → 42afa121… → ae5c2895…. \n- Atomicity: Each commit should represent a single logical change (e.g., “first call”, “events”, merge). \n- Clarity: Commit messages such as first call and events give context; others need clearer messages before merging. \n- Order: Verify that the PR builds after each commit in the above sequence; consider squashing or rebasing noisy, unrelated commits into a cleaner linear history.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR commit history – the ordered series of commits that constitute a pull‑request, each showing a snapshot of the code (SHA), author/date, and a commit message. It lets reviewers see how the change evolved and trace where any issue was introduced.\n\nCommit sequence extracted from the graph (earliest → latest):\n\n| SHA (short) | Message / note | Parent |\n|-------------|----------------|--------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | 9096906d… |\n| ae5c2895… | “first call” (2026‑06‑26) | 42afa121… |\n| 215ebb24… | “events” (2026‑06‑26) | – |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – (author unknown, 2026‑07‑06) | – |\n| 057b9821 | – (author unknown) | – |\n| 2c4d5449 | – (author unknown) | – |\n| 9f5b6db1 | – (author unknown) | – |\n| 98ec5e00 | – (author unknown) | – |\n| 32ccbac7 | – (author unknown) | – |\n| 6c1135c0 | – (author unknown) | – |\n| 8e72dfc5137fa… | – (repo‑specific entry) | – |\n\nKey points for reviewers\n\n* The only explicit lineage in the graph is 9096906d… → 42afa121… → ae5c2895…; the rest appear as independent commits within the PR.\n* Commits with clear messages (“first call”, “events”, merge) provide useful context; the others should have descriptive messages added before merging.\n* Ensure the PR builds and passes tests after each commit, or consider squashing/rebasing to produce a cleaner linear history.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR commit history – the ordered series of commits that constitute a pull‑request, each showing a snapshot of the code (SHA), author/date, and a commit message. It lets reviewers see how the change evolved and trace where any issue was introduced.\n\nCommit sequence extracted from the graph (earliest → latest):\n\n| SHA (short) | Message / note | Parent |\n|-------------|----------------|--------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | 9096906d… |\n| ae5c2895… | “first call” (2026‑06‑26) | 42afa121… |\n| 215ebb24… | “events” (2026‑06‑26) | – |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – (author unknown, 2026‑07‑06) | – |\n| 057b9821 | – (author unknown) | – |\n| 2c4d5449 | – (author unknown) | – |\n| 9f5b6db1 | – (author unknown) | – |\n| 98ec5e00 | – (author unknown) | – |\n| 32ccbac7 | – (author unknown) | – |\n| 6c1135c0 | – (author unknown) | – |\n| 8e72dfc5137fa… | – (repo‑specific entry) | – |\n\nKey points for reviewers\n\n* The only explicit lineage in the graph is 9096906d… → 42afa121… → ae5c2895…; the rest appear as independent commits within the PR.\n* Commits with clear messages (“first call”, “events”, merge) provide useful context; the others should have descriptive messages added before merging.\n* Ensure the PR builds and passes tests after each commit, or consider squashing/rebasing to produce a cleaner linear history.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

AgentWasp AI

[1] {'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR commit history – the ordered series of commits that make up the pull‑request, each showing a snapshot of the code (SHA), author/date (when known) and a commit message.\n\nCommits present in this PR (earliest → latest, based on the parent links that are known):\n\n| SHA (short) | Message / note | Author / date |\n|-------------|----------------|---------------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | – |\n| ae5c2895… | “first call” (2026‑06‑26) | unknown |\n| 215ebb24… | “events” (2026‑06‑26) | unknown |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – | unknown (2026‑07‑06) |\n| 057b9821 | – | unknown |\n| 2c4d5449 | – | unknown |\n| 9f5b6db1 | – | unknown |\n| 98ec5e00 | – | unknown |\n| 32ccbac7 | – | unknown |\n| 6c1135c0 | – | unknown |\n| 8e72dfc5137fa… | – | – |\n\nKey points for reviewers\n\n* The only explicit lineage is 9096906d… → 42afa121… → ae5c2895…; the remaining commits appear as independent entries within the PR. \n* Commit messages that are clear (“first call”, “events”, merge) give useful context; the other commits should have descriptive messages added before merging. \n* Verify that the code builds and passes tests after each commit, or consider squashing/rebasing to produce a cleaner linear history. ', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR commit history – the ordered series of commits that make up the pull‑request, each showing a snapshot of the code (SHA), author/date (when known) and a commit message.\n\nCommits present in this PR (earliest → latest, based on the parent links that are known):\n\n| SHA (short) | Message / note | Author / date |\n|-------------|----------------|---------------|\n| 9096906d… | (base commit – no details) | – |\n| 42afa121… | – | – |\n| ae5c2895… | “first call” (2026‑06‑26) | unknown |\n| 215ebb24… | “events” (2026‑06‑26) | unknown |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | – | unknown (2026‑07‑06) |\n| 057b9821 | – | unknown |\n| 2c4d5449 | – | unknown |\n| 9f5b6db1 | – | unknown |\n| 98ec5e00 | – | unknown |\n| 32ccbac7 | – | unknown |\n| 6c1135c0 | – | unknown |\n| 8e72dfc5137fa… | – | – |\n\nKey points for reviewers\n\n* The only explicit lineage is 9096906d… → 42afa121… → ae5c2895…; the remaining commits appear as independent entries within the PR. \n* Commit messages that are clear (“first call”, “events”, merge) give useful context; the other commits should have descriptive messages added before merging. \n* Verify that the code builds and passes tests after each commit, or consider squashing/rebasing to produce a cleaner linear history. '}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what is the PR commit history?

[agentwaspai]

AgentWasp Recall

---

---

Question: what is the PR commit history?

---

---

{'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR commit history – the ordered series of commits that make up a pull‑request. Each entry records a snapshot of the code (SHA), the author/date (when known) and a commit message, showing how the change evolved.\n\n### Commits present in this PR (earliest → latest)\n\n| SHA (short) | Message / note | Author / date |\n|-------------|----------------|---------------|\n| 9096906d… | (no details) | – |\n| 42afa121… | (no message) | – |\n| ae5c2895… | “first call” | 2026‑06‑26 |\n| 215ebb24… | “events” | 2026‑06‑26 |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | (no message) | unknown, 2026‑07‑06 |\n| 057b9821 | (no message) | unknown |\n| 2c4d5449 | (no message) | unknown |\n| 9f5b6db1 | (no message) | unknown |\n| 98ec5e00 | (no message) | unknown |\n| 32ccbac7 | (no message) | unknown |\n| 6c1135c0 | (no message) | unknown |\n| 8e72dfc5137fa… | (no message) | – |\n\n### What to look for when reviewing\n\n- Clear commit messages – “first call” and “events” are useful; the other commits should get descriptive messages that explain what changed and why.\n- Logical grouping – each commit should represent a single, coherent change (e.g., a feature, a bug‑fix, a refactor). If many tiny or unrelated commits exist, consider squashing or rebasing to a cleaner linear history.\n- Buildability – the code should compile/passing tests after each commit; otherwise the history may need to be reordered or cleaned up. \n\nA well‑structured commit history gives reviewers a clear trail to trace the introduction of each change, spot regressions, and decide whether the PR is ready to merge.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR commit history – the ordered series of commits that make up a pull‑request. Each entry records a snapshot of the code (SHA), the author/date (when known) and a commit message, showing how the change evolved.\n\n### Commits present in this PR (earliest → latest)\n\n| SHA (short) | Message / note | Author / date |\n|-------------|----------------|---------------|\n| 9096906d… | (no details) | – |\n| 42afa121… | (no message) | – |\n| ae5c2895… | “first call” | 2026‑06‑26 |\n| 215ebb24… | “events” | 2026‑06‑26 |\n| 8e72dfc | Merge pull request #2 from inline‑arc/testing | – |\n| be5cd5b3 | (no message) | unknown, 2026‑07‑06 |\n| 057b9821 | (no message) | unknown |\n| 2c4d5449 | (no message) | unknown |\n| 9f5b6db1 | (no message) | unknown |\n| 98ec5e00 | (no message) | unknown |\n| 32ccbac7 | (no message) | unknown |\n| 6c1135c0 | (no message) | unknown |\n| 8e72dfc5137fa… | (no message) | – |\n\n### What to look for when reviewing\n\n- Clear commit messages – “first call” and “events” are useful; the other commits should get descriptive messages that explain what changed and why.\n- Logical grouping – each commit should represent a single, coherent change (e.g., a feature, a bug‑fix, a refactor). If many tiny or unrelated commits exist, consider squashing or rebasing to a cleaner linear history.\n- Buildability – the code should compile/passing tests after each commit; otherwise the history may need to be reordered or cleaned up. \n\nA well‑structured commit history gives reviewers a clear trail to trace the introduction of each change, spot regressions, and decide whether the PR is ready to merge.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3

[agentwaspai]

AgentWasp AI — Memory Recall

{'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'PR\u202f#3 – key changes\n\n- Configuration (app.yml) – enabled several GitHub events and gave the app write permission on issues: \n - turned on deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment \n - set issues: write \n\n- Code updates \n - index.js – large rewrite (+90\u202flines, –49\u202flines) that adds the bot’s review logic. \n - intro.js – new helper file (+15\u202flines). \n - k8s/cognee-deployment.yml – new Kubernetes manifest (+115\u202flines). \n\n- Memory‑module package – a bunch of new/added files to implement the “memory” feature: \n - memory/api/main.py (+58\u202flines) \n - memory/config/rules.py (+11\u202flines) \n - memory/llm.py (new, empty) \n - memory/main.py (+146\u202flines) \n - Rule/text files: memory/rules/ask.txt (+18), memory/rules/claude.md (+73), memory/rules/review.txt (+38), memory/rules/rules.txt (+53) \n - Associated compiled __pycache__ files (added). \n\n- Tests \n - test/index.test.js updated (added 65\u202flines, removed 64). \n\n- Miscellaneous \n - deploy.yml was renamed (no content change). \n\n- Commit history – 13 commits (including a merge of PR\u202f#2, and a series of incremental “memory” commits). \n\nIn short, the PR introduces a new review bot, expands GitHub event handling, adds a full “memory” module with its own API, rules, and deployment config, and updates the test suite.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'PR\u202f#3 – key changes\n\n- Configuration (app.yml) – enabled several GitHub events and gave the app write permission on issues: \n - turned on deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment \n - set issues: write \n\n- Code updates \n - index.js – large rewrite (+90\u202flines, –49\u202flines) that adds the bot’s review logic. \n - intro.js – new helper file (+15\u202flines). \n - k8s/cognee-deployment.yml – new Kubernetes manifest (+115\u202flines). \n\n- Memory‑module package – a bunch of new/added files to implement the “memory” feature: \n - memory/api/main.py (+58\u202flines) \n - memory/config/rules.py (+11\u202flines) \n - memory/llm.py (new, empty) \n - memory/main.py (+146\u202flines) \n - Rule/text files: memory/rules/ask.txt (+18), memory/rules/claude.md (+73), memory/rules/review.txt (+38), memory/rules/rules.txt (+53) \n - Associated compiled __pycache__ files (added). \n\n- Tests \n - test/index.test.js updated (added 65\u202flines, removed 64). \n\n- Miscellaneous \n - deploy.yml was renamed (no content change). \n\n- Commit history – 13 commits (including a merge of PR\u202f#2, and a series of incremental “memory” commits). \n\nIn short, the PR introduces a new review bot, expands GitHub event handling, adds a full “memory” module with its own API, rules, and deployment config, and updates the test suite.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3

[agentwaspai]

AgentWasp AI — Memory Recall

{'kind': 'graph_completion', 'search_type': 'GRAPH_COMPLETION', 'text': 'The pull‑request adds a new “review” bot and updates the repository configuration.\n\nKey changes\n\n| File | Change |\n|------|--------|\n| app.yml | • Enables many GitHub events: deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment (in addition to the existing ones).
• Sets the issues permission to write and adds a discussions: write permission. |\n| index.js | • Introduces a constant BOT_NAME = "@agentwaspai" and logs “AgentWasp AI loaded”.
• Adds an issue_comment.created handler that reacts only to non‑bot comments that mention @agentwaspai and contain the /review command on a pull request.
• When triggered, it fetches the PR diff, file list, comments, review comments, reviews and commits in parallel, logs the raw data, and posts a summary comment with counts, file list, commit list and a diff preview (or an error message if something fails). |\n| intro.js | New file defining an INTRO_MESSAGE that explains what AgentWasp\u202fAI does and lists its commands (/ask, /review, mentions). |\n| k8s/cognee-deployment.yml | New K8s manifest for the Cognee memory service. |\n| deploy.yml | Renamed (no content change). |\n| memory/ | New code and data for the bot’s memory/context feature: added api/main.py, config/rules.py, llm.py, main.py, several rule files (rules.txt, ask.txt, claude.md, review.txt), and related compiled byte‑code files. |\n| test/index.test.js | Updated test file (minor changes). |\n| Other additions | Various generated .pyc files and a placeholder test memory/cloud.test.py. |\n\nIn short, the PR configures the GitHub App to listen to more events, grants write permissions for issues and discussions, and implements a new bot that can be invoked with “@agentwaspai /review” to automatically gather PR data and post a review summary, plus it adds supporting code, documentation, and deployment files.', 'score': None, 'dataset_id': '0ccc96d3-9345-54b5-b990-b67769ce87f8', 'dataset_name': 'repo-inline-arc-AgentwaspAi', 'metadata': {}, 'raw': {'value': 'The pull‑request adds a new “review” bot and updates the repository configuration.\n\nKey changes\n\n| File | Change |\n|------|--------|\n| app.yml | • Enables many GitHub events: deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment (in addition to the existing ones).
• Sets the issues permission to write and adds a discussions: write permission. |\n| index.js | • Introduces a constant BOT_NAME = "@agentwaspai" and logs “AgentWasp AI loaded”.
• Adds an issue_comment.created handler that reacts only to non‑bot comments that mention @agentwaspai and contain the /review command on a pull request.
• When triggered, it fetches the PR diff, file list, comments, review comments, reviews and commits in parallel, logs the raw data, and posts a summary comment with counts, file list, commit list and a diff preview (or an error message if something fails). |\n| intro.js | New file defining an INTRO_MESSAGE that explains what AgentWasp\u202fAI does and lists its commands (/ask, /review, mentions). |\n| k8s/cognee-deployment.yml | New K8s manifest for the Cognee memory service. |\n| deploy.yml | Renamed (no content change). |\n| memory/ | New code and data for the bot’s memory/context feature: added api/main.py, config/rules.py, llm.py, main.py, several rule files (rules.txt, ask.txt, claude.md, review.txt), and related compiled byte‑code files. |\n| test/index.test.js | Updated test file (minor changes). |\n| Other additions | Various generated .pyc files and a placeholder test memory/cloud.test.py. |\n\nIn short, the PR configures the GitHub App to listen to more events, grants write permissions for issues and discussions, and implements a new bot that can be invoked with “@agentwaspai /review” to automatically gather PR data and post a review summary, plus it adds supporting code, documentation, and deployment files.'}, 'structured': None, 'source': 'graph'}

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3

[agentwaspai]

AgentWasp AI — Memory Recall

Pull Request #3 – inline‑arc/AgentwaspAi

File	Change
app.yml	Enabled additional GitHub webhook events (deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment) and set issues permission to write.
deploy.yml	Renamed (no content change).
index.js	Added the “review” bot logic: detects @agentwaspai /review comments, gathers PR diff, files, commits, comments, reviews, and posts a summary comment.
intro.js	New file that defines a help/intro message describing the bot’s capabilities and commands.
k8s/cognee-deployment.yml	New Kubernetes manifest for the Cognee memory service.
memory/api/main.py	New API entry‑point for the memory service.
memory/config/rules.py	New config file exposing rule‑loading helpers.
memory/main.py	Core implementation of the memory/context engine (adds new rules, parsing, and LLM interaction).
memory/rules/ (ask.txt, claude.md, review.txt, rules.txt)	New rule‑definition files that drive the bot’s behavior for asking, reviewing, etc.
memory/cloud.test.py	Placeholder test file for the memory service.
memory/ (compiled *.pyc files)	Added generated byte‑code artifacts.
test/index.test.js	Updated test suite to reflect the new bot logic (adds/removes lines to match new behavior).

Summary

• The PR expands the GitHub App’s event coverage and grants write access to issues.
• Implements a “review” command (@agentwaspai /review) that automatically gathers PR metadata and posts a concise review summary.
• Introduces supporting code and configuration for a memory/context module (new Python files and rule definitions).
• Adds deployment scaffolding (K8s manifest) and updates tests accordingly.

[inline-arc]

@agentwaspai /ask what changes are made in this pr #3 what are the latest changes in the markdown fixed commit

[agentwaspai]

AgentWasp AI — Memory Recall

PR #3 – inline‑arc/AgentwaspAi

• app.yml – enabled additional GitHub events (deployment_status, issue_comment, issues, pull_request_review, pull_request_review_comment, discussion, discussion_comment) and set write permissions for issues and discussions.
• index.js – completely rewritten: added BOT_NAME = "@agentwaspai", changed log message to “AgentWasp AI loaded.”, and introduced an issue_comment.created handler that reacts to “@agentwaspai /review” on pull‑requests, gathers PR data (diff, files, comments, review comments, reviews, commits) in parallel, logs the raw data, and posts a formatted summary comment (with counts, file list, commit list, diff preview). Includes error handling and bot‑comment filtering.
• intro.js – new file exposing INTRO_MESSAGE, a markdown‑styled description of AgentWasp AI, its capabilities and a command table (/ask, /review, @agentwaspai).
• k8s/cognee-deployment.yml – new Kubernetes manifest that deploys the Cognee memory service (namespace, PVC, Deployment, Service).
• deploy.yml – created by renaming memory/cognee.py; no content change.
• memory/ – added a full memory‑context subsystem: api/main.py, main.py, llm.py, plus rule files (ask.txt, review.txt, rules.txt) and compiled __pycache__ byte‑code files.
• memory/config/rules.py – helper for loading rule files.
• memory/rules/claude.md – new markdown file (73 lines) defining Claude‑specific rules used by the bot’s LLM reasoning.
• test/index.test.js – updated to reflect the new bot logic (adds/removes assertions for the review command handling).
• Other additions – placeholder test memory/cloud.test.py, compiled .pyc files, and various new rule‑text files.

Key markdown change: the only .md file touched in this PR is memory/rules/claude.md, which was added (new) and contains rule definitions for the Claude model. No existing markdown files were modified.