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SKILL verified MIT Self-run

Iblai Agent History

skill-iblai-api-iblai-agent-history · by iblai

Read an ibl.ai agent's conversation history and summaries via the platform API — list conversations with sentiment/topic/user/date filters, get general summaries and per-conversation memory, and export chat history as an async report. Use when reviewing or exporting how users have chatted with an agent.

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Install

$ agentstack add skill-iblai-api-iblai-agent-history

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

iblai-agent-history

Read an agent's conversation history and summaries through the API: list the conversations users have had with an agent (filterable by sentiment, topic, user, and date), read the general summary and per-conversation memory, and export the full chat history as a report. Use when reviewing or exporting how users have chatted with an agent.

Auth & conventions

  • Base URL: https://api.iblai.app
  • Header: Authorization: Api-Token $IBLAI_API_KEY on every request.
  • Path vars: {org} = $IBLAI_ORG, {username} = $IBLAI_USERNAME,

{mentor} = the agent's unique id (e.g. d17dc729-60fd-4363-81a0-f67d9318b03e).

  • Conversation reads go through the AI-analytics host —

paths under …/dm/api/ai-analytics/….

  • Export goes through the reports endpoints (…/dm/api/reports/…) and is

async: a POST creates the report, then you GET-poll until the download URL is ready.

  • Not connected yet? Run /iblai-login first to populate IBLAI_ORG,

IBLAI_USERNAME, and IBLAI_API_KEY.

Reads

  • GET https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/mentors/{mentor}/public-settings/ — gating (whether history is available for this agent).
  • GET https://api.iblai.app/dm/api/ai-analytics/orgs/{org}/users/{username}/chat-history/?mentor={mentor}&page={n}&page_size=10&sentiment={s}&topics={t}&filter_user_id={id}&start_date={d}&end_date={d} — conversation list (paginated; sentiment / topics / user / date filters).
  • GET https://api.iblai.app/dm/api/ai-analytics/orgs/{org}/users/{username}/chat-history-filter/?mentor_id={mentor}&monthly_range=false&start_date=&end_date= — available filter options (sentiments, topics, users).
  • GET https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/mentors/{mentor}/summaries/general/ — general summary, average rating, and topics.
  • GET https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/memory/{conversationId}/ — per-conversation memory.

Writes

Export

Export is async — POST to create the report, then GET-poll until the download URL appears.

  • POST https://api.iblai.app/dm/api/reports/platforms/{org}/new — create an export report:

``json { "report_name": "ai-mentor-chat-history (required)", "mentor": "uuid", "usergroup_ids": "number[]", "start_date": "yyyy-MM-dd", "end_date": "yyyy-MM-dd", "sentiment": "string", "topics": "string", "source": "origin url" } ``

  • GET https://api.iblai.app/dm/api/reports/platforms/{org}/{report_name}?mentor_unique_id={mentor} — poll / download the report (repeat until the download URL is ready).

Example

List the most recent positive-sentiment conversations for an agent:

curl -s \
  "https://api.iblai.app/dm/api/ai-analytics/orgs/$IBLAI_ORG/users/$IBLAI_USERNAME/chat-history/?mentor=$MENTOR&page=1&page_size=10&sentiment=positive" \
  -H "Authorization: Api-Token $IBLAI_API_KEY"

Notes

  • The conversation list is paginated — pass page and keep page_size=10;

omit filter params you are not using.

  • Discover valid sentiment / topics / user values from the

chat-history-filter/ endpoint before filtering the list.

  • Export does not return a file directly — POST returns a report handle, then

the GET poll returns the download URL once generation finishes.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: iblai
  • Source: iblai/api
  • License: MIT
  • Homepage: https://ibl.ai/join

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.