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.
npx agentmods add agents/activeagents/activeagent/streaminggit clone --depth 1 https://github.com/activeagents/activeagentWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00020 | $0.01160 |
| Opus 5 | $0.00010 | $0.00580 |
| Sonnet 5 | $0.00004 | $0.00232 |
| Haiku 4.5 | $0.00002 | $0.00116 |
Grade A, and why
streaming 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{{ $frontmatter.title }}
Stream responses from AI providers in real-time using ActiveAgent's streaming callbacks. This guide covers handling streaming responses with callbacks that execute at different points in the streaming lifecycle.
Overview
ActiveAgent provides three streaming callbacks:
on_stream_open- Invoked when the stream beginson_stream- Invoked for every chunk received during streamingon_stream_close- Invoked when the stream completes
Callbacks automatically receive a StreamChunk object if they accept a parameter, providing access to the current message state and incremental delta content.
Basic Streaming
Enable streaming by passing stream: true to your agent or prompt:
<<< @/../test/docs/agents/streaming_examples_test.rb#basic_streaming_agent {ruby:line-numbers} [agent.rb]
<<< @/../test/docs/agents/streaming_examples_test.rb#basic_streaming_usage {ruby:line-numbers} [usage.rb]
StreamChunk Object
Each callback receives a StreamChunk with two attributes:
message- The current message object from the provider (accumulated state)delta- The incremental content for this specific chunk (may benil)
The delta contains only the new content received in the current chunk, while message contains the accumulated message state. Not all chunks contain a delta—some may only contain metadata updates.
def log_chunk(chunk)
# Delta contains only new content for this chunk
Rails.logger.debug("New content: #{chunk.delta}")
# Message contains accumulated provider response
Rails.logger.debug("Full message so far: #{chunk.message.inspect}")
end
Lifecycle Callbacks
Use callbacks to handle different points in the streaming lifecycle:
on_stream_open
Invoked when streaming begins. Use this to initialize state:
<<< @/../test/docs/agents/streaming_examples_test.rb#lifecycle_open {ruby:line-numbers}
on_stream
Invoked for every chunk. Keep processing lightweight:
<<< @/../test/docs/agents/streaming_examples_test.rb#lifecycle_chunk {ruby:line-numbers}
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.
- 2d ago First seen · 169 lines · 20 tokens per session scan A 1779142f2551
streaming is an agent published in the GitHub repository activeagents/activeagent (971 stars, last pushed 6d ago), licensed MIT. It adds 20 tokens to every session and 1,160 once invoked, about $0.0001 per session on Opus 5. 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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