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https://github.com/katanemo/plano.git
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Validate model listener filter references before serving traffic (#947)
* Validate output filter references * ci: trigger workflows for org member
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parent
5a4487fc6e
commit
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3 changed files with 160 additions and 26 deletions
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@ -562,15 +562,15 @@ def validate_and_render_schema():
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"Please provide model_providers either under listeners or at root level, not both. Currently we don't support multiple listeners with model_providers"
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)
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# Validate input_filters IDs on listeners reference valid agent/filter IDs
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# Validate listener-level filter IDs reference valid agent/filter IDs.
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for listener in listeners:
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listener_input_filters = listener.get("input_filters", [])
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for fc_id in listener_input_filters:
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if fc_id not in agent_id_keys:
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raise Exception(
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f"Listener '{listener.get('name', 'unknown')}' references input_filters id '{fc_id}' "
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f"which is not defined in agents or filters. Available ids: {', '.join(sorted(agent_id_keys))}"
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)
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for filter_field in ("input_filters", "output_filters"):
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for fc_id in listener.get(filter_field, []):
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if fc_id not in agent_id_keys:
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raise Exception(
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f"Listener '{listener.get('name', 'unknown')}' references {filter_field} id '{fc_id}' "
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f"which is not defined in agents or filters. Available ids: {', '.join(sorted(agent_id_keys))}"
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)
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# Validate model aliases if present
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if "model_aliases" in config_yaml:
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@ -327,6 +327,63 @@ routing_preferences:
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tracing:
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random_sampling: 100
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""",
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},
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{
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"id": "unknown_listener_output_filter",
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"expected_error": "references output_filters id 'missing_output_guard'",
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"plano_config": """
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version: v0.4.0
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filters:
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- id: input_guard
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url: http://localhost:10500
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type: http
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listeners:
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- name: llm
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type: model
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port: 12000
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input_filters:
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- input_guard
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output_filters:
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- missing_output_guard
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model_providers:
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- model: openai/gpt-4o-mini
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access_key: $OPENAI_API_KEY
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default: true
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""",
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},
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{
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"id": "valid_listener_output_filter",
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"expected_error": None,
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"plano_config": """
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version: v0.4.0
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filters:
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- id: input_guard
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url: http://localhost:10500
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type: http
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- id: output_guard
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url: http://localhost:10501
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type: http
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listeners:
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- name: llm
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type: model
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port: 12000
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input_filters:
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- input_guard
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output_filters:
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- output_guard
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model_providers:
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- model: openai/gpt-4o-mini
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access_key: $OPENAI_API_KEY
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default: true
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""",
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},
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]
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@ -142,25 +142,19 @@ async fn init_app_state(
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.listeners
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.iter()
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.find(|l| l.listener_type == ListenerType::Model);
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let resolve_chain = |filter_ids: Option<Vec<String>>| -> Option<ResolvedFilterChain> {
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filter_ids.map(|ids| {
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let agents = ids
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.iter()
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.filter_map(|id| {
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global_agent_map
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.get(id)
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.map(|a: &Agent| (id.clone(), a.clone()))
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})
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.collect();
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ResolvedFilterChain {
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filter_ids: ids,
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agents,
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}
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})
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};
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let filter_pipeline = Arc::new(FilterPipeline {
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input: resolve_chain(model_listener.and_then(|l| l.input_filters.clone())),
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output: resolve_chain(model_listener.and_then(|l| l.output_filters.clone())),
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input: resolve_filter_chain(
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"input_filters",
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model_listener.and_then(|l| l.input_filters.clone()),
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&global_agent_map,
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)
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.map_err(|e| format!("failed to resolve model listener input filters: {e}"))?,
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output: resolve_filter_chain(
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"output_filters",
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model_listener.and_then(|l| l.output_filters.clone()),
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&global_agent_map,
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)
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.map_err(|e| format!("failed to resolve model listener output filters: {e}"))?,
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});
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let overrides = config.overrides.clone().unwrap_or_default();
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@ -350,6 +344,29 @@ async fn init_app_state(
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})
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}
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fn resolve_filter_chain(
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field_name: &str,
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filter_ids: Option<Vec<String>>,
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global_agent_map: &HashMap<String, Agent>,
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) -> Result<Option<ResolvedFilterChain>, String> {
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let Some(ids) = filter_ids else {
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return Ok(None);
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};
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let mut agents = HashMap::new();
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for id in &ids {
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let agent = global_agent_map
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.get(id)
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.ok_or_else(|| format!("{field_name} id '{id}' is not defined in agents or filters"))?;
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agents.insert(id.clone(), agent.clone());
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}
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Ok(Some(ResolvedFilterChain {
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filter_ids: ids,
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agents,
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}))
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}
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/// Initialize the conversation state storage backend (if configured).
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async fn init_state_storage(
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config: &Configuration,
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@ -588,3 +605,63 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
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let state = Arc::new(init_app_state(&config).await?);
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run_server(state).await
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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fn test_agent(id: &str) -> Agent {
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Agent {
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id: id.to_string(),
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transport: None,
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tool: None,
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url: "http://localhost:10500".to_string(),
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agent_type: Some("http".to_string()),
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}
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}
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#[test]
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fn resolve_filter_chain_keeps_valid_filter_references() {
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let agent = test_agent("output_guard");
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let global_agent_map = HashMap::from([(agent.id.clone(), agent)]);
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let resolved = resolve_filter_chain(
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"output_filters",
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Some(vec!["output_guard".to_string()]),
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&global_agent_map,
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)
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.expect("filter chain should resolve")
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.expect("filter chain should be present");
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assert_eq!(resolved.filter_ids, vec!["output_guard".to_string()]);
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assert!(resolved.agents.contains_key("output_guard"));
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}
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#[test]
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fn resolve_filter_chain_errors_on_missing_output_filter_reference() {
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let global_agent_map = HashMap::new();
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let err = resolve_filter_chain(
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"output_filters",
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Some(vec!["missing_output_guard".to_string()]),
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&global_agent_map,
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)
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.expect_err("missing output filter should fail closed");
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assert!(err.contains("output_filters id 'missing_output_guard'"));
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}
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#[test]
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fn resolve_filter_chain_errors_on_missing_input_filter_reference() {
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let global_agent_map = HashMap::new();
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let err = resolve_filter_chain(
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"input_filters",
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Some(vec!["missing_input_guard".to_string()]),
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&global_agent_map,
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)
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.expect_err("missing input filter should fail closed");
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assert!(err.contains("input_filters id 'missing_input_guard'"));
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}
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}
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