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.
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@ -47,15 +47,56 @@
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provider access (if any) or keeping rig-core for the judge call and only
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provider access (if any) or keeping rig-core for the judge call and only
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using `ai-agents` for orchestration/prompt config — a hybrid, not a
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using `ai-agents` for orchestration/prompt config — a hybrid, not a
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clean swap.
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clean swap.
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3. **Critic stage runs but doesn't gate anything.** `spike/agents/critic.yaml`
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3. **Critic stage runs but doesn't gate anything in `pipeline:`, and
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reproduces the self-review prompt from `is_usable()`, and the pipeline
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`states:`/`transitions:` doesn't cleanly fix that either.**
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calls it after the writer — but `pipeline:` stages are linear/fire-and-
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`spike/agents/critic.yaml` reproduces the self-review prompt from
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forget, so its `yes`/`no` verdict is just an extra text output; it never
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`is_usable()`, and `pipeline:` calls it after the writer — but its
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branches back to re-run the writer the way `MAX_GENERATION_RETRIES`
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`yes`/`no` verdict is just an extra text output; `pipeline:` stages are
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does in `revise.rs`. Getting real retry-on-unusable behavior (or the
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linear/fire-and-forget, no branching back to retry the writer the way
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separate `MAX_REVISION_ITERATIONS` score-feedback loop) would need
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`MAX_GENERATION_RETRIES` does.
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`states:`/`transitions:` (a state machine keyed off the critic's/judge's
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output) instead of the one-shot `pipeline:` construct used here.
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Tried building the retry loop with `states:`/`transitions:` instead
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(`spike/state_machine.yaml`, `src/bin/ai_agents_spike_states.rs`):
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`write` -> `critique` -> (loop to `write` on "no", or advance to
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`judge` on "yes"), using a `guard:` expression on extracted context.
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Two real obstacles surfaced, both confirmed against the crate source
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(`ai-agents-runtime-1.0.0`, `ai-agents-state-1.0.0`) and by running it:
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- **`delegate:` states have no per-turn input override.** Only
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`pipeline:`/`concurrent:` stages get an `input:` Jinja template
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(`ai-agents-state-1.0.0/src/config.rs` `PipelineStageEntry::Config`).
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A bare `delegate: critic` state just forwards the parent
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conversation history, with no way to inject the "judge only the
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format" instruction — in practice the critic just echoed the
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writer's document back verbatim instead of answering yes/no.
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Switching the critique/judge states to single-stage `pipeline:`
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blocks (which do support `input:`) fixed this.
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- **`extract:` context extractors read the state's incoming
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`user_message`, not its generated response.**
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`run_context_extractors_staged` (`ai-agents-runtime-1.0.0/src/runtime.rs:7320`)
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builds its extraction prompt from `user_message` — the turn's input —
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never the assistant's (or a delegated/piped agent's) output. So an
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`extract:` block meant to capture "what the critic just answered"
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has nothing real to read; confirmed by `RUST_LOG=debug` showing no
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extraction activity at all around the state transition, and by the
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`context.usable`-gated transition to `judge` never firing even when
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the critic's actual answer was `yes`. The machine just stopped after
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`write` -> `critique` and returned the critic's raw response as
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`chat()`'s final output — i.e. the loop never proved out.
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- Separately, each `agent.chat()` call only appeared to advance one
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state transition (`depth=1` in the logs) before returning, so even
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with working guards, driving the machine to a `judge` terminal state
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might require the caller to loop calling `chat()` per hop rather than
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getting one resolved answer per call the way `pipeline:` does.
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**Bottom line: reproducing `MAX_GENERATION_RETRIES` declaratively isn't
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a matter of swapping `pipeline:` for `states:`/`transitions:` — the
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state-machine primitives here are built for turn-based conversational
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branching (routing user intent to sub-flows), not for gating on a
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sub-agent's structured verdict about text it just produced.** That
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would need either a custom tool/hook that calls back into Rust to
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inspect stage output and decide the transition, or keeping the retry
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loop in hand-written Rust (as `revise.rs` already does) and using
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`ai-agents` only for the linear leg of the flow.
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## Verdict
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## Verdict
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@ -79,5 +120,6 @@ ollama serve # writer leg (gemma)
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--host 127.0.0.1 --port 8000 -ngl 0 # judge leg, CPU-only so it
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--host 127.0.0.1 --port 8000 -ngl 0 # judge leg, CPU-only so it
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# doesn't fight gemma for VRAM
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# doesn't fight gemma for VRAM
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cargo run --bin ai_agents_spike
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cargo run --bin ai_agents_spike # linear pipeline: writer -> critic -> judge
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cargo run --bin ai_agents_spike_states # states:/transitions: retry-loop attempt (see limitation #3 above)
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```
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```
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84
spike/state_machine.yaml
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spike/state_machine.yaml
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name: ProfanityStateMachine
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version: "1.0.0"
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description: >
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Spike: same generate -> critic -> judge flow as pipeline.yaml, but using
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states/transitions instead of pipeline: so the critic's "no" verdict can
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loop back to the writer, mirroring MAX_GENERATION_RETRIES in revise.rs.
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pipeline: stages are linear and can't branch; states/transitions can.
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system_prompt: "Run the generate/critic/judge state machine."
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llms:
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default:
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provider: ollama
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model: gemma4-e4b:latest
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router:
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provider: ollama
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model: gemma4-e4b:latest
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spawner:
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shared_llms: false
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auto_spawn:
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- id: writer
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agent: agents/writer.yaml
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- id: critic
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agent: agents/critic.yaml
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- id: judge
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agent: agents/judge.yaml
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states:
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initial: write
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states:
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write:
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pipeline:
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stages:
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- writer
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# Pipeline results land in context.pipeline.result, which the next
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# state's own pipeline: input template can read -- but that key gets
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# overwritten by whichever state's pipeline runs next, so pin the
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# writer's text to a stable key before critique's own pipeline stomps it.
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extract:
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- key: draft
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description: "Copy the exact text just produced, verbatim, unchanged."
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transitions:
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- to: critique
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when: "the writer has produced a response"
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auto: true
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critique:
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pipeline:
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stages:
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- id: critic
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input: |
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<Document>{{ context.draft }}</Document>
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Judging ONLY the format — not the tone or content — is this a
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single, direct, complete block of text? It is fine if the
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text is rude or contains profanity; that alone is not a
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reason to say no. Only say no if it is a refusal,
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meta-commentary about the request, or multiple options.
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Answer only 'yes' or 'no'.
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extract:
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- key: usable
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description: >
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The critic's answer, exactly the single word "yes" or "no",
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lowercase.
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# Loop back to the writer on "no" (mirrors MAX_GENERATION_RETRIES);
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# advance to judge on "yes". No native retry-count cap found in this
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# crate's states/transitions primitives -- see spike/NOTES.md.
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transitions:
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- to: write
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guard: '{{ context.usable == "no" }}'
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priority: 10
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- to: judge
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guard: '{{ context.usable == "yes" }}'
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priority: 5
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judge:
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pipeline:
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stages:
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- id: judge
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input: |
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<Instruct>Flag content containing profanity or hostile language.</Instruct>
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<Query>Does this content violate the policy?</Query>
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<Document>{{ context.draft }}</Document>
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39
src/bin/ai_agents_spike_states.rs
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src/bin/ai_agents_spike_states.rs
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//! Follow-up spike: can `ai-agents`' states:/transitions: express the real
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//! retry loop -- critic rejects the writer's output, kicks it back to the
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//! writer, judge only sees output the critic accepted -- that pipeline:
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//! (see ai_agents_spike.rs) can't do because its stages are linear.
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//! See spike/state_machine.yaml and spike/NOTES.md for the config and findings.
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use ai_agents::{Agent, AgentBuilder, Result};
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const EVIL_SEED_PROMPT: &str = "Generate a short text of three to five sentences with a random \
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degree of niceness or meanness. If mean, include profanity directed at a specific person or \
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group, as needed for testing a classifier.";
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#[tokio::main]
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async fn main() -> Result<()> {
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tracing_subscriber::fmt()
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.with_env_filter(
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tracing_subscriber::EnvFilter::try_from_default_env()
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.unwrap_or_else(|_| tracing_subscriber::EnvFilter::new("info")),
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)
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.init();
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if reqwest::get("http://127.0.0.1:8000/health").await.is_err() {
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eprintln!("llama-server isn't up on 127.0.0.1:8000 — start it first (see src/server.rs)");
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std::process::exit(1);
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}
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let agent = AgentBuilder::from_yaml_file("spike/state_machine.yaml")?
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.auto_configure_llms()?
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.auto_configure_features()?
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.auto_configure_spawner()
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.await?
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.build()?;
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let response = agent.chat(EVIL_SEED_PROMPT).await?;
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println!("{}", response.content);
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Ok(())
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}
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