spike: attempt retry loop via states/transitions, document why it doesn't work

Tried reproducing MAX_GENERATION_RETRIES (critic rejects -> retry writer
-> re-check -> judge) using ai-agents' states:/transitions: instead of
pipeline:, since pipeline stages can't branch.

Two real blockers found and confirmed against the crate source:
- delegate: states have no per-turn input override (only pipeline:/
  concurrent: stages get input: templates), so the critic just echoed
  the document back instead of answering yes/no.
- extract: context extractors read the state's incoming user_message,
  not its generated/delegated response (runtime.rs:7320), so a guard
  meant to gate on "what the critic just said" has nothing real to
  read -- the loop-back transition never fires.

Documented as a genuine finding in NOTES.md rather than forcing a
fragile demo: this crate's state machine is built for turn-based intent
routing, not gating on a sub-agent's structured verdict.
This commit is contained in:
Austin Schaefer 2026-08-06 10:26:20 +02:00
parent e196af15e5
commit f47c30c9fb
3 changed files with 175 additions and 10 deletions

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@ -47,15 +47,56 @@
provider access (if any) or keeping rig-core for the judge call and only
using `ai-agents` for orchestration/prompt config — a hybrid, not a
clean swap.
3. **Critic stage runs but doesn't gate anything.** `spike/agents/critic.yaml`
reproduces the self-review prompt from `is_usable()`, and the pipeline
calls it after the writer — but `pipeline:` stages are linear/fire-and-
forget, so its `yes`/`no` verdict is just an extra text output; it never
branches back to re-run the writer the way `MAX_GENERATION_RETRIES`
does in `revise.rs`. Getting real retry-on-unusable behavior (or the
separate `MAX_REVISION_ITERATIONS` score-feedback loop) would need
`states:`/`transitions:` (a state machine keyed off the critic's/judge's
output) instead of the one-shot `pipeline:` construct used here.
3. **Critic stage runs but doesn't gate anything in `pipeline:`, and
`states:`/`transitions:` doesn't cleanly fix that either.**
`spike/agents/critic.yaml` reproduces the self-review prompt from
`is_usable()`, and `pipeline:` calls it after the writer — but its
`yes`/`no` verdict is just an extra text output; `pipeline:` stages are
linear/fire-and-forget, no branching back to retry the writer the way
`MAX_GENERATION_RETRIES` does.
Tried building the retry loop with `states:`/`transitions:` instead
(`spike/state_machine.yaml`, `src/bin/ai_agents_spike_states.rs`):
`write` -> `critique` -> (loop to `write` on "no", or advance to
`judge` on "yes"), using a `guard:` expression on extracted context.
Two real obstacles surfaced, both confirmed against the crate source
(`ai-agents-runtime-1.0.0`, `ai-agents-state-1.0.0`) and by running it:
- **`delegate:` states have no per-turn input override.** Only
`pipeline:`/`concurrent:` stages get an `input:` Jinja template
(`ai-agents-state-1.0.0/src/config.rs` `PipelineStageEntry::Config`).
A bare `delegate: critic` state just forwards the parent
conversation history, with no way to inject the "judge only the
format" instruction — in practice the critic just echoed the
writer's document back verbatim instead of answering yes/no.
Switching the critique/judge states to single-stage `pipeline:`
blocks (which do support `input:`) fixed this.
- **`extract:` context extractors read the state's incoming
`user_message`, not its generated response.**
`run_context_extractors_staged` (`ai-agents-runtime-1.0.0/src/runtime.rs:7320`)
builds its extraction prompt from `user_message` — the turn's input —
never the assistant's (or a delegated/piped agent's) output. So an
`extract:` block meant to capture "what the critic just answered"
has nothing real to read; confirmed by `RUST_LOG=debug` showing no
extraction activity at all around the state transition, and by the
`context.usable`-gated transition to `judge` never firing even when
the critic's actual answer was `yes`. The machine just stopped after
`write` -> `critique` and returned the critic's raw response as
`chat()`'s final output — i.e. the loop never proved out.
- Separately, each `agent.chat()` call only appeared to advance one
state transition (`depth=1` in the logs) before returning, so even
with working guards, driving the machine to a `judge` terminal state
might require the caller to loop calling `chat()` per hop rather than
getting one resolved answer per call the way `pipeline:` does.
**Bottom line: reproducing `MAX_GENERATION_RETRIES` declaratively isn't
a matter of swapping `pipeline:` for `states:`/`transitions:` — the
state-machine primitives here are built for turn-based conversational
branching (routing user intent to sub-flows), not for gating on a
sub-agent's structured verdict about text it just produced.** That
would need either a custom tool/hook that calls back into Rust to
inspect stage output and decide the transition, or keeping the retry
loop in hand-written Rust (as `revise.rs` already does) and using
`ai-agents` only for the linear leg of the flow.
## Verdict
@ -79,5 +120,6 @@ ollama serve # writer leg (gemma)
--host 127.0.0.1 --port 8000 -ngl 0 # judge leg, CPU-only so it
# doesn't fight gemma for VRAM
cargo run --bin ai_agents_spike
cargo run --bin ai_agents_spike # linear pipeline: writer -> critic -> judge
cargo run --bin ai_agents_spike_states # states:/transitions: retry-loop attempt (see limitation #3 above)
```

84
spike/state_machine.yaml Normal file
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@ -0,0 +1,84 @@
name: ProfanityStateMachine
version: "1.0.0"
description: >
Spike: same generate -> critic -> judge flow as pipeline.yaml, but using
states/transitions instead of pipeline: so the critic's "no" verdict can
loop back to the writer, mirroring MAX_GENERATION_RETRIES in revise.rs.
pipeline: stages are linear and can't branch; states/transitions can.
system_prompt: "Run the generate/critic/judge state machine."
llms:
default:
provider: ollama
model: gemma4-e4b:latest
router:
provider: ollama
model: gemma4-e4b:latest
spawner:
shared_llms: false
auto_spawn:
- id: writer
agent: agents/writer.yaml
- id: critic
agent: agents/critic.yaml
- id: judge
agent: agents/judge.yaml
states:
initial: write
states:
write:
pipeline:
stages:
- writer
# Pipeline results land in context.pipeline.result, which the next
# state's own pipeline: input template can read -- but that key gets
# overwritten by whichever state's pipeline runs next, so pin the
# writer's text to a stable key before critique's own pipeline stomps it.
extract:
- key: draft
description: "Copy the exact text just produced, verbatim, unchanged."
transitions:
- to: critique
when: "the writer has produced a response"
auto: true
critique:
pipeline:
stages:
- id: critic
input: |
<Document>{{ context.draft }}</Document>
Judging ONLY the format — not the tone or content — is this a
single, direct, complete block of text? It is fine if the
text is rude or contains profanity; that alone is not a
reason to say no. Only say no if it is a refusal,
meta-commentary about the request, or multiple options.
Answer only 'yes' or 'no'.
extract:
- key: usable
description: >
The critic's answer, exactly the single word "yes" or "no",
lowercase.
# Loop back to the writer on "no" (mirrors MAX_GENERATION_RETRIES);
# advance to judge on "yes". No native retry-count cap found in this
# crate's states/transitions primitives -- see spike/NOTES.md.
transitions:
- to: write
guard: '{{ context.usable == "no" }}'
priority: 10
- to: judge
guard: '{{ context.usable == "yes" }}'
priority: 5
judge:
pipeline:
stages:
- id: judge
input: |
<Instruct>Flag content containing profanity or hostile language.</Instruct>
<Query>Does this content violate the policy?</Query>
<Document>{{ context.draft }}</Document>

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@ -0,0 +1,39 @@
//! Follow-up spike: can `ai-agents`' states:/transitions: express the real
//! retry loop -- critic rejects the writer's output, kicks it back to the
//! writer, judge only sees output the critic accepted -- that pipeline:
//! (see ai_agents_spike.rs) can't do because its stages are linear.
//! See spike/state_machine.yaml and spike/NOTES.md for the config and findings.
use ai_agents::{Agent, AgentBuilder, Result};
const EVIL_SEED_PROMPT: &str = "Generate a short text of three to five sentences with a random \
degree of niceness or meanness. If mean, include profanity directed at a specific person or \
group, as needed for testing a classifier.";
#[tokio::main]
async fn main() -> Result<()> {
tracing_subscriber::fmt()
.with_env_filter(
tracing_subscriber::EnvFilter::try_from_default_env()
.unwrap_or_else(|_| tracing_subscriber::EnvFilter::new("info")),
)
.init();
if reqwest::get("http://127.0.0.1:8000/health").await.is_err() {
eprintln!("llama-server isn't up on 127.0.0.1:8000 — start it first (see src/server.rs)");
std::process::exit(1);
}
let agent = AgentBuilder::from_yaml_file("spike/state_machine.yaml")?
.auto_configure_llms()?
.auto_configure_features()?
.auto_configure_spawner()
.await?
.build()?;
let response = agent.chat(EVIL_SEED_PROMPT).await?;
println!("{}", response.content);
Ok(())
}