chat_history.py

chat_history.py is an agent for coding agents from NetMindAI-Open/NarraNexus. It costs 0 tokens per session (1,419 once invoked), scanned A, original, Apache-2.0.

A coding-agent module for chat-history routes and event-log details, including lifecycle, environment, and usage-cost information. It also supports clearing selected conversation and memory history.

In plain words
What is it for?
Use it to build or maintain chat-history APIs, event-log activity cards, cost summaries, and scoped history deletion.
Why use it?
It keeps chat records and activity details consistent, including cached model input that ordinary token totals can miss. This helps the interface show accurate history and cost information.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/netmindai-open/narranexus/chat_history.py
Clone the repo
git clone --depth 1 https://github.com/NetMindAI-Open/NarraNexus

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for chat_history.py

README.md
[![agentmods](https://agentmods.dev/badge/agents/netmindai-open/narranexus/chat_history.py.svg)](https://agentmods.dev/agents/netmindai-open/narranexus/chat_history.py)
Your own site
<a href="https://agentmods.dev/agents/netmindai-open/narranexus/chat_history.py"><img src="https://agentmods.dev/badge/agents/netmindai-open/narranexus/chat_history.py.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,419 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01419
Opus 5 $0.00000 $0.00709
Sonnet 5 $0.00000 $0.00284
Haiku 4.5 $0.00000 $0.00142

Measured 5d ago against content hash 28d37bc6b9d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chat_history.py scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.mindflow/mirror/backend/routes/agents/chat_history.py.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

2026-07-30 — meta carries the prompt-cache buckets

_build_event_meta's cost_records aggregation now also sums cache_read_input_tokens / cache_creation_input_tokens into EventLogMeta.cache_read_tokens / .cache_creation_tokens. Same defect class as the /costs popover fixed the same day: input_tokens is only the full-rate bucket, so a cache-warm run's token chip showed "33 in" while the model actually read ~869k. Buckets stay separate in the API; the frontend sums for display ([[InnerThoughtCard.tsx]]).

2026-07-23 — event-log meta (activity card header)

get_event_log_detail returns meta: EventLogMeta assembled by _build_event_meta: env_context.input (capped 4000 chars), lifecycle (state/started/finished/derived duration — Phase C columns, None on legacy rows), and a cost_records aggregation by event_id (distinct models, token sums, total USD — None when no rows so the UI hides the chip instead of lying with $0). Consumed by [[InnerThoughtCard.tsx]]. Tests: tests/backend/test_event_log_meta.py.

2026-07-10 — clear-history rebuilt as a scoped wipe delegating to wipe_service

DELETE /{agent_id}/history now takes ?conversations=&memory= (default both true; 400 if neither) and delegates to [[wipe_service.py]] wipe_agent_data(...). The old inline handler was incomplete — it deleted a few DB tables but never the on-disk narrative markdown / trajectories (the real memory; the DB is rebuilt from them on restart) and its session cleanup globbed the wrong path ({agent}_*.md under the repo dir — the real files are ~/.narranexus/sessions/{agent}_{user}.json), so it deleted nothing. That glob block is gone. Ownership is now enforced (agents.created_by, 404 for non-owner) because memory_* is deleted by agent_id — a non-owner wipe would destroy the owner's memory. ?user_id= is rejected (TDR-12). The "New-joiner traps" note below is superseded: the full table+disk set now lives in wipe_service, not this route.

agents/chat_history.py — 聊天历史与对话记录路由

Read the full file on GitHub · 82 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 82 lines · 0 tokens per session scan A 28d37bc6b9d8

Subscribe to this mod's changes

chat_history.py is an agent published in the GitHub repository NetMindAI-Open/NarraNexus (86 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,419 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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