From 62fb808d4bb170f8a18aeca9b9620287931fcc7e Mon Sep 17 00:00:00 2001 From: "devin-ai-integration[bot]" <158243242+devin-ai-integration[bot]@users.noreply.github.com> Date: Sun, 4 Oct 2026 01:03:11 +0000 Subject: [PATCH] feat: improve Lens dev seeding and live UI (#44468) * feat: seed Lens dev with configurable load profiles * feat: run Lens UI live through the dev launcher * fix: verify Lens UI startup before seeding * fix(ui): render run timestamps on one compact line The agent runs table printed the long locale form with timezone, which wrapped to two lines per row. Use a fixed-width 24h form with milliseconds that matches the timeline axis, keep the long form in the hover title, and show the timezone once in the column header Co-Authored-By: Claude Fable 5.1 * refactor(ui): use the root query client for the Lens demo Drop the demo's nested QueryClient. Cache keys are already partitioned by scope, and the root client now skips retries on 4xx ApiErrors, which covers the demo's not-in-demo and read-only rejections and live 4xx alike. Co-Authored-By: Claude Opus 5.5 * chore: drop unused synthetic_spend reference from query help Co-Authored-By: Claude Opus 5.5 * chore(traces): drop the deeplite fixtures and map every SDK to a logo The deeplite captures predate the example repository and carried synthetic spend rows, which leaked a fixture-only column into the query help SQL and pinned tests to its shape. Replace them with the SDK captures in the ClickHouse round trip and query API tests, and derive the seed tenant lookup from the capture metadata The runs table only knew the two Anthropic framework slugs. Register the slugs the normalizer emits for LangChain, LangGraph, Deep Agents, CrewAI, Google ADK, LlamaIndex, OpenAI Agents, Pydantic AI, Strands, Vercel AI SDK, Codex, Cursor and Copilot, and fall back to the generic agent glyph when a run has no known framework Co-Authored-By: Claude Fable 5.1 * refactor(ui): inject the Lens sample through data sources instead of demo checks Components no longer ask whether they are in the demo. The traces source carries live and handoff, navigation state comes from a URL or memory route, and the preview action comes from context instead of onDemo props Co-Authored-By: Claude Opus 5.5 * feat(ui): infinite scroll for the agent runs list Replace the Load more button with a sentinel that fetches the next cursor page as the list nears its end. Placeholder rows hold the tail while more runs exist, and a failed page stops auto-loading until Retry. Co-Authored-By: Claude Opus 5.5 * feat(ui): keep the whole Lens view in the URL Lens navigation now lives entirely in query params through nuqs: the sample session (demo=true, with a Demo data switch in the header), the open run (trace, trace_ref), the selected step, view and detail section (span, view, span_tab) and the list filters and range (q, agent, status, hours). Any Lens view is a shareable link and the back button walks runs RunView takes its selection injected: the drawer feeds it URL state and the investigations evidence sheet keeps a local one, so a finding's original run never writes step ids into the URL. Leaving the sample session clears every Lens key except the tab so sample ids never point at live data Co-Authored-By: Claude Fable 5.1 * style(traces): cargo fmt captures tests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Yujong Lee Co-authored-by: Claude Fable 5.1 Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- Makefile | 4 +- deploy/lens/README.md | 32 + .../crates/python-bridge/src/routes/traces.rs | 13 + .../crates/storage-clickhouse/src/error.rs | 2 + .../crates/storage-clickhouse/src/insert.rs | 16 +- .../storage-clickhouse/tests/transport.rs | 47 + .../query/help/recent_spend.sql | 3 +- .../crates/traces-clickhouse/src/error.rs | 2 + .../crates/traces-clickhouse/src/insert.rs | 15 +- .../templates/query_help.jinja | 2 +- .../tests/fixtures/README.md | 8 +- .../fixtures/deeplite_swarm_spend_logs.jsonl | 7 - .../crates/traces-clickhouse/tests/insert.rs | 53 + .../crates/traces-clickhouse/tests/queries.rs | 7 +- litellm-rust/crates/traces/src/error.rs | 2 + litellm-rust/crates/traces/src/lib.rs | 2 +- .../crates/traces/src/otlp/attributes.rs | 4 +- litellm-rust/crates/traces/src/otlp/limits.rs | 88 +- litellm-rust/crates/traces/src/otlp/mod.rs | 14 +- litellm-rust/crates/traces/src/otlp/span.rs | 27 +- litellm-rust/crates/traces/src/otlp/wire.rs | 7 +- litellm-rust/crates/traces/tests/captures.rs | 12 +- .../tests/fixtures/deeplite_auth_error.json | 1614 --- .../traces/tests/fixtures/deeplite_swarm.json | 9812 ----------------- litellm-rust/crates/traces/tests/normalize.rs | 2 - litellm-rust/crates/traces/tests/otlp.rs | 95 + scripts/lens_dev.sh | 99 +- scripts/run_tracing_proxy_local.sh | 87 +- scripts/seed_tracing_fixtures.py | 225 +- tests/test_litellm_rust/test_traces.py | 9 +- tests/unit/test_lens_dev.py | 81 + tests/unit/test_seed_tracing_fixtures.py | 125 +- ui/litellm-dashboard/next.config.mjs | 17 +- ui/litellm-dashboard/package-lock.json | 16 + ui/litellm-dashboard/package.json | 1 + ui/litellm-dashboard/src/app/globals.css | 22 - .../{investigations => }/HeaderActions.tsx | 8 +- .../src/components/lens/LensDemoContext.tsx | 10 - .../lens/LensNavigation.integration.test.tsx | 4 +- .../src/components/lens/LensPreviewButton.tsx | 28 +- .../components/lens/LensServicesProvider.tsx | 13 + .../lens/LensWorkspace.integration.test.tsx | 93 +- .../src/components/lens/LensWorkspace.tsx | 201 +- .../src/components/lens/api/queries.ts | 14 +- .../lens/demo/createLensDemo.test.ts | 2 +- .../components/lens/demo/createLensDemo.ts | 21 +- .../lens/investigations/FindingsInbox.tsx | 147 - .../lens/investigations/InvestigationList.tsx | 272 +- .../InvestigationsView.integration.test.tsx | 83 +- .../investigations/InvestigationsView.tsx | 165 +- .../investigations/InvestigationsWelcome.tsx | 6 +- .../lens/investigations/TraceSheet.test.tsx | 20 + .../lens/investigations/TraceSheet.tsx | 24 +- .../detail/InvestigationDetail.tsx | 21 +- .../investigations/useInvestigationResults.ts | 42 +- .../src/components/lens/model/inbox.test.ts | 82 +- .../src/components/lens/model/inbox.ts | 59 +- .../src/components/lens/route.tsx | 103 + .../src/components/lens/services.ts | 14 +- .../view_logs/TraceView/AgentTracesPage.tsx | 13 +- .../AgentTracesSection.integration.test.tsx | 161 +- .../TraceView/AgentTracesSection.tsx | 82 +- .../view_logs/TraceView/AgentTracesTable.tsx | 73 +- .../view_logs/TraceView/DetailContent.tsx | 2 +- .../TraceView/DetailPane.integration.test.tsx | 9 +- .../view_logs/TraceView/DetailPane.tsx | 90 +- .../view_logs/TraceView/RunDrawer.test.tsx | 137 +- .../view_logs/TraceView/RunDrawer.tsx | 43 +- .../TraceConversation.integration.test.tsx | 11 +- .../view_logs/TraceView/TraceConversation.tsx | 2 +- .../view_logs/TraceView/TraceDrawer.test.tsx | 37 +- .../view_logs/TraceView/TraceDrawer.tsx | 98 +- .../TraceView/TraceFramework.test.ts | 28 + .../view_logs/TraceView/TraceFramework.tsx | 37 +- .../TracingSetupCard.integration.test.tsx | 30 +- .../view_logs/TraceView/TracingSetupCard.tsx | 4 +- .../view_logs/TraceView/spanProvider.ts | 5 +- .../view_logs/TraceView/traceRouting.ts | 181 + .../view_logs/TraceView/tracesApi.ts | 35 + .../view_logs/TraceView/useAgentTraces.ts | 6 +- .../src/contexts/ReactQueryProvider.test.tsx | 23 + .../src/contexts/ReactQueryProvider.tsx | 8 +- .../src/utils/activityTimestamp.test.ts | 18 +- .../src/utils/activityTimestamp.ts | 25 +- 84 files changed, 2518 insertions(+), 12644 deletions(-) delete mode 100644 litellm-rust/crates/traces-clickhouse/tests/fixtures/deeplite_swarm_spend_logs.jsonl delete mode 100644 litellm-rust/crates/traces/tests/fixtures/deeplite_auth_error.json delete mode 100644 litellm-rust/crates/traces/tests/fixtures/deeplite_swarm.json rename ui/litellm-dashboard/src/components/lens/{investigations => }/HeaderActions.tsx (54%) delete mode 100644 ui/litellm-dashboard/src/components/lens/LensDemoContext.tsx create mode 100644 ui/litellm-dashboard/src/components/lens/LensServicesProvider.tsx delete mode 100644 ui/litellm-dashboard/src/components/lens/investigations/FindingsInbox.tsx create mode 100644 ui/litellm-dashboard/src/components/lens/investigations/TraceSheet.test.tsx create mode 100644 ui/litellm-dashboard/src/components/lens/route.tsx create mode 100644 ui/litellm-dashboard/src/components/view_logs/TraceView/TraceFramework.test.ts create mode 100644 ui/litellm-dashboard/src/components/view_logs/TraceView/traceRouting.ts create mode 100644 ui/litellm-dashboard/src/contexts/ReactQueryProvider.test.tsx diff --git a/Makefile b/Makefile index 40573fb68a3..ad84e2c4014 100644 --- a/Makefile +++ b/Makefile @@ -58,7 +58,7 @@ help: @echo " make test-unit-helm - Run helm unit tests" @echo " make test-rust-extension - Build the Rust extension and run its public Python tests" @echo " make rust-sqlx-prepare - Refresh litellm-rust/crates/db/.sqlx against a migrated Postgres container" - @echo " make lens-dev - Run proxy + Lens worker + hot-reload dashboard (LENS_DEV_PROXY_PORT, LENS_DEV_UI_PORT)" + @echo " make lens-dev - Run proxy + Lens worker + hot-reload dashboard (ARGS=\"--seed large\", LENS_DEV_PROXY_PORT, LENS_DEV_UI_PORT)" @echo "" @echo "Heavy targets (check, lint) queue for LITELLM_GATE_SLOTS machine-wide" @echo "slots (default 2; 0 disables) so parallel sessions don't thrash one machine." @@ -313,7 +313,7 @@ rust-sqlx-prepare: cd litellm-rust && cargo run -p litellm-db-testing --bin sqlx-prepare lens-dev: - ./scripts/lens_dev.sh + ./scripts/lens_dev.sh $(ARGS) test: install-test-deps $(UV_RUN) pytest tests/ diff --git a/deploy/lens/README.md b/deploy/lens/README.md index 1c67864adc4..4971bfae671 100644 --- a/deploy/lens/README.md +++ b/deploy/lens/README.md @@ -160,6 +160,38 @@ curl "$LITELLM_URL/lens/$LENS_ID/runs/$BATCH_ID" -H "Authorization: Bearer $LITE Creation queues the first batch. Posting to `/lens/{id}/runs` queues another, or returns the existing active batch. The run response contains its ID under `jobs[0].id`. Poll the batch URL for status, findings and assessments. List responses omit large result payloads; request a batch to retrieve them. Supply an optional complete `settings` object on the runs POST for a one-off override; the saved lens stays unchanged. Selection accepts `team_id`, exact `filters`, and opaque `execution_ids` returned by `/lens/preview/sample`. Preview accepts `offset` and `as_of` to keep the time window fixed while paging. Feedback uses `PATCH /lens/{id}/findings/{finding_id}` with `status` and `reason` +## Local development + +`make lens-dev ARGS=--seed` starts the full dev stack. The live dashboard is at `http://localhost:3000/ui/lens/`, with login at `http://localhost:3000/ui/login/`. Next.js forwards API requests to the proxy on port 4000, so login and navigation stay in the live UI and edits hot-reload + +The default is Next.js dev with no production build (`LENS_DEV_BUILD_UI=0`). Set `LENS_DEV_BUILD_UI=1` when you also want a fresh static dashboard at `http://localhost:4000/ui/`. Build output goes to `.lens-dev/logs/ui-build.log`; a failed build stops startup. Both modes keep the live dashboard on port 3000. Startup checks the live login route before seeding and fails with the UI log path if Next.js exits. `LENS_DEV_STARTUP_TIMEOUT_SECONDS` controls startup readiness retries (default 300; `LENS_DEV_READINESS_REQUEST_TIMEOUT_SECONDS` caps each HTTP probe, default 5) + +For local fixture data, run `make lens-dev ARGS=--seed`. Use `make lens-dev ARGS="--seed large"` for 2,000 fixture copies, over one million spans and linked request logs. To seed a running stack without restarting it, use `make lens-dev ARGS="--seed-only --seed large --copies 100"`. The default profile replays one copy of every checked-in capture through authenticated `/v1/traces`, including failures, retries, streaming and multiple agent frameworks. Large seeds use the same parser and compressed ClickHouse writer in batches of four copies, and write matching request logs to PostgreSQL. The first and last batches verify linked spend totals through the proxy + +Seeds append fresh IDs on every invocation and spread copies over recent timestamps. Restarts without `SEED` do not add data. Lens excludes activity received in the last two minutes, so wait two minutes after seeding before checking investigation previews. `LENS_DEV_SEED_COPIES` overrides total copies, and `LENS_DEV_SEED_BATCH_COPIES` overrides copies per bulk insert (default 4, about 2,000 spans). Start with four or fewer on a constrained machine. Larger batches still respect the existing ClickHouse insert size limit; each capture is decoded separately within the OTLP safety budget. Large seeds test data volume and pagination, rather than concurrent ingestion throughput or review accuracy. They can use substantial disk space; adjust `--copies` for your machine. Seeding expects the generated local tracing configuration. The old `run_tracing_proxy_local.sh --seed` command forwards to Lens dev, using its ports and saved master key + +Local ingestion limits are explicit and configurable. Set OTLP and ClickHouse variables before starting the proxy and seeder so both processes use the same settings. Invalid, zero and negative values fail instead of silently falling back. Changing these limits does not require rebuilding Rust + +| Environment variable | Default | Controls | +| --- | --- | --- | +| `LENS_DEV_SEED_COPIES` | 1 default, 2000 large | Total fixture copies | +| `LENS_DEV_SEED_BATCH_COPIES` | 4 | Copies per bulk insert | +| `LENS_DEV_SEED_TIMEOUT_SECONDS` | 120 | Seeder HTTP timeout | +| `OTLP_MAX_BODY_BYTES` | 16777216 | HTTP body and decompressed payload bytes | +| `OTLP_MAX_CONCURRENT_INGESTS` | 2 | Concurrent proxy ingestion requests | +| `OTLP_MAX_ATTRIBUTE_VALUE_BYTES` | 65536 | Stored attribute/content bytes | +| `OTLP_MAX_DECODE_DEPTH` | 32 | Nested decode depth | +| `OTLP_MAX_DECODE_NODES` | 65536 | JSON values or protobuf fields per export | +| `OTLP_MAX_SPANS` | 4096 | Spans per export | +| `OTLP_MAX_ATTRIBUTES` | 256 | Attributes per resource, scope, span, event or link | +| `OTLP_MAX_EVENTS` | 256 | Events per span | +| `OTLP_MAX_LINKS` | 256 | Links per span | +| `OTLP_MAX_DECODED_SPAN_BYTES` | 16777216 | Decoded span allocation budget | +| `CLICKHOUSE_TRACE_MAX_INSERT_BYTES` | 67108864 | Encoded trace or spend insert bytes | +| `CLICKHOUSE_INSERT_TIMEOUT_SECONDS` | 30 | ClickHouse insert HTTP timeout | + +The wire parsers also enforce their library recursion limits (128 levels for JSON, 100 for protobuf). Raising the configured depth does not remove those parser limits. Bulk seeding parses each capture separately, keeping the per-export limits distinct from the bulk insert limit. Use smaller batches if an insert exceeds its byte budget. For example, `LENS_DEV_SEED_COPIES=100 LENS_DEV_SEED_BATCH_COPIES=2 make lens-dev ARGS="--seed large"` + ## Quality evaluation Run the checked-in cases against a configured real model. Expected labels are used only for scoring, never passed to the model. Dev and held-out cases include missing outcomes, failed tools, recovery, handoffs, unsupported claims, repeated work, long evidence and prompt injection. The background option adds clean arithmetic traces to test rare-issue discovery at scale; those repeated synthetic cases do not establish accuracy on every production workload diff --git a/litellm-rust/crates/python-bridge/src/routes/traces.rs b/litellm-rust/crates/python-bridge/src/routes/traces.rs index 77a98b3980a..dd5c6b9860f 100644 --- a/litellm-rust/crates/python-bridge/src/routes/traces.rs +++ b/litellm-rust/crates/python-bridge/src/routes/traces.rs @@ -39,6 +39,7 @@ fn map_error_ref(error: &Error) -> PyErr { | Error::InsertTooLarge | Error::ReadTooLarge => PyOverflowError::new_err(error.to_string()), Error::InvalidRow + | Error::InvalidLimit(_) | Error::InvalidTable | Error::InvalidCursor(_) | Error::AmbiguousTrace @@ -59,6 +60,7 @@ fn map_error_ref(error: &Error) -> PyErr { Error::Cached(source) => map_error_ref(source), Error::Storage(source) => match source { StorageError::InvalidRow + | StorageError::InvalidLimit(_) | StorageError::InvalidTable | StorageError::InvalidSchema | StorageError::EmptySql @@ -433,6 +435,13 @@ mod tests { #[rstest] #[case::row(Error::InvalidRow, "ValueError")] + #[case::insert_limit(Error::InvalidLimit("CLICKHOUSE_TRACE_MAX_INSERT_BYTES"), "ValueError")] + #[case::insert_timeout( + Error::Storage(litellm_storage_clickhouse::Error::InvalidLimit( + "CLICKHOUSE_INSERT_TIMEOUT_SECONDS" + )), + "ValueError" + )] #[case::insert_budget(Error::InsertTooLarge, "OverflowError")] #[case::scope(Error::InvalidScope, "ValueError")] #[case::schema(Error::SchemaFailed(503), "RuntimeError")] @@ -482,6 +491,10 @@ mod tests { #[rstest] #[case::decode_budget(Error::Decode(litellm_traces::Error::TooLarge), "OverflowError")] #[case::invalid_export(Error::Decode(litellm_traces::Error::InvalidPayload), "ValueError")] + #[case::invalid_decode_limit( + Error::Decode(litellm_traces::Error::InvalidLimit("OTLP_MAX_SPANS")), + "ValueError" + )] #[case::cursor(Error::InvalidCursor("trace"), "ValueError")] #[case::ambiguous(Error::AmbiguousTrace, "ValueError")] #[case::changed_snapshot(Error::TraceChanged, "ValueError")] diff --git a/litellm-rust/crates/storage-clickhouse/src/error.rs b/litellm-rust/crates/storage-clickhouse/src/error.rs index 43202b8fa15..acec9b91675 100644 --- a/litellm-rust/crates/storage-clickhouse/src/error.rs +++ b/litellm-rust/crates/storage-clickhouse/src/error.rs @@ -2,6 +2,8 @@ pub enum Error { #[error("invalid ClickHouse insert row")] InvalidRow, + #[error("{0} must be a positive integer")] + InvalidLimit(&'static str), #[error("invalid ClickHouse insert table")] InvalidTable, #[error("invalid ClickHouse HTTP URL")] diff --git a/litellm-rust/crates/storage-clickhouse/src/insert.rs b/litellm-rust/crates/storage-clickhouse/src/insert.rs index 81528ded907..1cdad1897c1 100644 --- a/litellm-rust/crates/storage-clickhouse/src/insert.rs +++ b/litellm-rust/crates/storage-clickhouse/src/insert.rs @@ -5,7 +5,19 @@ use litellm_http::Client; use crate::{Connection, Error, valid_identifier}; -const INSERT_TIMEOUT: Duration = Duration::from_secs(30); +fn insert_timeout() -> Result { + let name = "CLICKHOUSE_INSERT_TIMEOUT_SECONDS"; + match std::env::var(name) { + Ok(value) => value + .parse::() + .ok() + .filter(|value| *value > 0) + .map(Duration::from_secs) + .ok_or(Error::InvalidLimit(name)), + Err(std::env::VarError::NotPresent) => Ok(Duration::from_secs(30)), + Err(_) => Err(Error::InvalidLimit(name)), + } +} pub async fn insert_encoded_rows( client: &Client, @@ -74,7 +86,7 @@ pub async fn insert_compressed_rows( .append_pair("date_time_input_format", "best_effort"); let response = client .post(url) - .timeout(INSERT_TIMEOUT) + .timeout(insert_timeout()?) .header("Content-Encoding", "gzip") .body(body) .send() diff --git a/litellm-rust/crates/storage-clickhouse/tests/transport.rs b/litellm-rust/crates/storage-clickhouse/tests/transport.rs index 1dab575e21b..f70fe52e1de 100644 --- a/litellm-rust/crates/storage-clickhouse/tests/transport.rs +++ b/litellm-rust/crates/storage-clickhouse/tests/transport.rs @@ -144,3 +144,50 @@ async fn server_result_limits_allow_smaller_pages_without_retrying_other_failure assert!(matches!(error, Error::QueryFailed(500))); } } + +#[test] +fn insert_timeout_environment_controls_transport() { + for value in ["1", "3", "0", "invalid"] { + let result = std::process::Command::new(std::env::current_exe().unwrap()) + .args(["--exact", "insert_timeout_environment_child"]) + .env("LITELLM_TEST_INSERT_TIMEOUT", value) + .env("CLICKHOUSE_INSERT_TIMEOUT_SECONDS", value) + .output() + .unwrap(); + assert!( + result.status.success(), + "{}", + String::from_utf8_lossy(&result.stdout) + ); + } +} + +#[tokio::test] +async fn insert_timeout_environment_child() { + use wiremock::{Mock, MockServer, ResponseTemplate, matchers::method}; + let Ok(value) = std::env::var("LITELLM_TEST_INSERT_TIMEOUT") else { + return; + }; + let server = MockServer::start().await; + Mock::given(method("POST")) + .respond_with(ResponseTemplate::new(200).set_delay(std::time::Duration::from_millis(1500))) + .mount(&server) + .await; + let result = insert_encoded_rows( + &Client::no_redirect_for_test(), + &Connection::parse(&server.uri()).unwrap(), + "traces", + "otel_traces", + "token", + "{}", + ) + .await; + match value.as_str() { + "1" => assert!(matches!(result, Err(Error::Transport))), + "3" => assert!(result.is_ok()), + _ => assert!(matches!( + result, + Err(Error::InvalidLimit("CLICKHOUSE_INSERT_TIMEOUT_SECONDS")) + )), + } +} diff --git a/litellm-rust/crates/traces-clickhouse/query/help/recent_spend.sql b/litellm-rust/crates/traces-clickhouse/query/help/recent_spend.sql index 9b3cbbfe70e..809b1bd44f0 100644 --- a/litellm-rust/crates/traces-clickhouse/query/help/recent_spend.sql +++ b/litellm-rust/crates/traces-clickhouse/query/help/recent_spend.sql @@ -1,7 +1,6 @@ SELECT request_id, response_id, trace_id, span_id, model, spend, - prompt_tokens, completion_tokens, status, - JSONExtractBool(metadata, 'synthetic_spend') AS synthetic_spend + prompt_tokens, completion_tokens, status FROM spend_logs FINAL WHERE start_time >= now() - INTERVAL 1 DAY ORDER BY start_time DESC, request_id diff --git a/litellm-rust/crates/traces-clickhouse/src/error.rs b/litellm-rust/crates/traces-clickhouse/src/error.rs index 909ac5fc60f..78df9a2121c 100644 --- a/litellm-rust/crates/traces-clickhouse/src/error.rs +++ b/litellm-rust/crates/traces-clickhouse/src/error.rs @@ -2,6 +2,8 @@ pub enum Error { #[error("invalid ClickHouse insert row")] InvalidRow, + #[error("{0} must be a positive integer")] + InvalidLimit(&'static str), #[error("invalid ClickHouse insert table")] InvalidTable, #[error("database must be a nonempty SQL identifier and retention must be positive")] diff --git a/litellm-rust/crates/traces-clickhouse/src/insert.rs b/litellm-rust/crates/traces-clickhouse/src/insert.rs index ac9fb474ed0..9e6452844f4 100644 --- a/litellm-rust/crates/traces-clickhouse/src/insert.rs +++ b/litellm-rust/crates/traces-clickhouse/src/insert.rs @@ -15,7 +15,18 @@ use time::{OffsetDateTime, format_description::well_known::Rfc3339}; use super::{Connection, Error}; use litellm_traces::Shared; -const MAX_INSERT_BYTES: usize = 64 * 1024 * 1024; +fn max_insert_bytes() -> Result { + let name = "CLICKHOUSE_TRACE_MAX_INSERT_BYTES"; + match std::env::var(name) { + Ok(value) => value + .parse::() + .ok() + .filter(|value| *value > 0) + .ok_or(Error::InvalidLimit(name)), + Err(std::env::VarError::NotPresent) => Ok(64 * 1024 * 1024), + Err(_) => Err(Error::InvalidLimit(name)), + } +} pub type InsertRow = BTreeMap>; @@ -62,7 +73,7 @@ pub async fn insert_shared_rows( return Ok(()); } let received_ms = (OffsetDateTime::now_utc().unix_timestamp_nanos() / 1_000_000) as u64; - let (token, body) = prepare_insert(&rows, received_ms, MAX_INSERT_BYTES)?; + let (token, body) = prepare_insert(&rows, received_ms, max_insert_bytes()?)?; litellm_storage_clickhouse::insert_compressed_rows( client, connection, diff --git a/litellm-rust/crates/traces-clickhouse/templates/query_help.jinja b/litellm-rust/crates/traces-clickhouse/templates/query_help.jinja index 21cfc134950..a879d3be755 100644 --- a/litellm-rust/crates/traces-clickhouse/templates/query_help.jinja +++ b/litellm-rust/crates/traces-clickhouse/templates/query_help.jinja @@ -184,7 +184,7 @@ Duration is nanoseconds; Timestamp has nanosecond precision, spend start_time ha {%- endblock %} {% block missing_spend -%} -Token usage does not establish billed spend. OTLP exports without companion spend_logs rows have unknown cost; synthetic fixture spend is marked by metadata.synthetic_spend +Token usage does not establish billed spend. OTLP exports without companion spend_logs rows have unknown cost {%- endblock %} {% block partial_spend -%} diff --git a/litellm-rust/crates/traces-clickhouse/tests/fixtures/README.md b/litellm-rust/crates/traces-clickhouse/tests/fixtures/README.md index d47dc84ba5d..c758aa566c3 100644 --- a/litellm-rust/crates/traces-clickhouse/tests/fixtures/README.md +++ b/litellm-rust/crates/traces-clickhouse/tests/fixtures/README.md @@ -4,13 +4,11 @@ Run `cargo test -p litellm-traces-clickhouse --test queries --locked -- --test-t Raw OTLP exports live in `crates/traces/tests/fixtures/query_*.json`. The seeded fixture decodes and normalizes them through `litellm_traces::decode_otlp` at test startup, then projects the decoded fields into ClickHouse columns. Team and key identities come from fixture setup rather than exporter claims. Root and child exports are inserted separately through the public insert API so materialized views process multiple blocks -`crates/traces/tests/fixtures/deeplite_auth_error.json` and `deeplite_swarm.json` were captured from Deeplite runs against the local proxy on 2026-10-02. The first contains a failed model call. The second contains successful model calls, searches, handoff attempts, and virtual filesystem writes. Credentials, workspace identifiers, and local user paths were redacted, and the protobuf exports were converted to OTLP JSON. Their round-trip tests check span identities, parent links, timestamps, durations, token counts, and statuses without pinning the provider's error wording +The ClickHouse round-trip test replays the `google_adk_billed_failure`, `pydantic_ai_retry`, and `deepagents_swarm` exports and checks span identities, parent links, timestamps, durations, token counts, and statuses without pinning the provider's error wording. Exported ERROR and UNSET statuses are diagnostic and do not establish a failed execution, so the test preserves incoming statuses and checks root status separately from the count of error spans, deriving both from the decoded export. Framework-specific interpretation of control-flow exceptions belongs in the instrumentation integration -The swarm capture has handoff spans marked ERROR with `ParentCommand` exception events and a root with UNSET status. These are exported diagnostic statuses, which do not establish a failed execution. The tests preserve incoming statuses and check root status separately from the count of error spans, deriving both from the decoded export. They do not infer an execution outcome from exception text, framework names, successful model calls, or output presence. Framework-specific interpretation of control-flow exceptions belongs in the instrumentation integration +For a local dashboard with linked requests and traces, run `make lens-dev ARGS=--seed` from the repository root and open `http://localhost:3000/ui/lens/`. Log in as `admin` with the master key saved in `.lens-dev/master_key`. The launcher keeps the stack running until Ctrl-C and leaves the database volumes intact -For a local dashboard with linked requests and traces, run `bash scripts/run_tracing_proxy_local.sh --seed` from the repository root and open `http://127.0.0.1:4002/ui/`. Log in as `admin` with password `sk-1234`, matching the UI E2E harness. The launcher keeps the proxy running until Ctrl-C and leaves the database volumes intact - -`deeplite_swarm_spend_logs.jsonl` pairs every LLM span in the swarm export with a ClickHouse spend row. Response IDs, trace and span IDs, token counts, input, output, and timestamps come from the export. Messages and responses use the chat completion format supported by the request viewer. Spend is synthetic, set to $0.01 per request and marked in metadata, because the export does not include actual billed costs. These rows are stored here because `traces-clickhouse` owns the spend row schema +Spend rows are stored here because `traces-clickhouse` owns the spend row schema The simple and swarm exports for all twelve SDK examples were captured on 2026-10-03 against port 4002 using `openai/gpt-6-luna`. Each export has a matching `_spend_logs.jsonl` with actual proxy spend, usage, request and response IDs, messages, and timestamps. Authorization headers, provider cookies, organization and project identifiers, and local paths were redacted. OTLP identifiers and enums use their canonical JSON encodings. `metadata.fixture_capture` identifies the associated export and whether model spans contain sufficient identity to join spend diff --git a/litellm-rust/crates/traces-clickhouse/tests/fixtures/deeplite_swarm_spend_logs.jsonl b/litellm-rust/crates/traces-clickhouse/tests/fixtures/deeplite_swarm_spend_logs.jsonl deleted file mode 100644 index f1fc525093c..00000000000 --- a/litellm-rust/crates/traces-clickhouse/tests/fixtures/deeplite_swarm_spend_logs.jsonl +++ /dev/null @@ -1,7 +0,0 @@ -{"request_id":"msg_011Cfdw9aW9brenPqgybfNwP","response_id":"msg_011Cfdw9aW9brenPqgybfNwP","call_type":"anthropic_messages","api_key":"","key_alias":"local-tracing-fixture","team_id":"","team_alias":"","organization_id":"","user":"","end_user":"","model":"claude-sonnet","model_group":"claude-sonnet","model_id":"","custom_llm_provider":"anthropic","api_base":"","spend":0.01,"prompt_tokens":2845,"completion_tokens":73,"total_tokens":2918,"cache_read_tokens":0,"cache_write_tokens":0,"start_time":1790968013219,"end_time":1790968018769,"completion_start_time":null,"status":"success","error_str":"","cache_hit":false,"session_id":"b2952a96b863250c304cef3376fe4c82","trace_id":"b2952a96b863250c304cef3376fe4c82","span_id":"3baa483880660b3b","request_tags":["local-tracing-fixture"],"metadata":"{\"fixture\": \"deeplite_swarm\", \"synthetic_spend\": true}","messages":"[{\"role\": \"system\", \"content\": \"You are the researcher. 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Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.7 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/builtins/stdtypes.html\\\", \\\"highlights\\\": [\\\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Challenge the research, name unsupported claims, and send your critique to the verifier. If the editor sends a revision back, ask the researcher to fix concrete gaps or send the result to red_team. Do not give the final answer.\"}, {\"role\": \"user\", \"content\": \"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01B2LfHGDjYSFJhmiXNj4CuQ\", \"type\": \"function\", \"function\": {\"name\": \"web_search\", \"arguments\": \"{\\\"query\\\": \\\"docs.python.org tuples immutable sequences lists mutable data structures tutorial\\\"}\"}}]}, {\"role\": \"tool\", \"content\": \"[{\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.7 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/builtins/stdtypes.html\\\", \\\"highlights\\\": [\\\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Independently search to check claims and source URLs. If evidence is weak, send the issue to the researcher. Otherwise send your verdict to red_team. Do not give the final answer.\"}, {\"role\": \"user\", \"content\": \"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01B2LfHGDjYSFJhmiXNj4CuQ\", \"type\": \"function\", \"function\": {\"name\": \"web_search\", \"arguments\": \"{\\\"query\\\": \\\"docs.python.org tuples immutable sequences lists mutable data structures tutorial\\\"}\"}}]}, {\"role\": \"tool\", \"content\": \"[{\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.7 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/builtins/stdtypes.html\\\", \\\"highlights\\\": [\\\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Find the strongest remaining objection to the verified findings. Send unresolved issues to the skeptic, or send your assessment to the editor. Do not give the final answer.\"}, {\"role\": \"user\", \"content\": \"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01B2LfHGDjYSFJhmiXNj4CuQ\", \"type\": \"function\", \"function\": {\"name\": \"web_search\", \"arguments\": \"{\\\"query\\\": \\\"docs.python.org tuples immutable sequences lists mutable data structures tutorial\\\"}\"}}]}, {\"role\": \"tool\", \"content\": \"[{\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.7 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/builtins/stdtypes.html\\\", \\\"highlights\\\": [\\\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. 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Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\\\"]}]\", \"name\": \"web_search\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01Xjj3aRdWyhBJfPmTJBxQa9\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_skeptic\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to skeptic\", \"name\": \"transfer_to_skeptic\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01H6fV8JvRJNvXy47eRnd3jH\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_verifier\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to verifier\", \"name\": \"transfer_to_verifier\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01XEAuhQHCBdyCwtymZwFfDi\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_red_team\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to red_team\", \"name\": \"transfer_to_red_team\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01VBrWdWEWYgit4kNYehBMU5\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_editor\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to editor\", \"name\": \"transfer_to_editor\"}]","response":"{\"id\": \"msg_011CfdwBBaa9gjMCce16TUen\", \"model\": \"claude-sonnet\", \"choices\": [{\"index\": 0, \"message\": {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01Bm8AU9EsQUwqoVLYpxKA77\", \"type\": \"function\", \"function\": {\"name\": \"write_file\", \"arguments\": \"{\\\"file_path\\\": \\\"/answer.md\\\", \\\"content\\\": \\\"**Tuple vs. list immutability (Python)**\\\\n\\\\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\\\\n\\\\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\\\\n\\\\nSources:\\\\n- https://docs.python.org/3/tutorial/datastructures.html\\\\n- https://docs.python.org/3/reference/datamodel.html\\\\n- https://docs.python.org/3/library/stdtypes.html\\\\n\\\"}\"}}]}, \"finish_reason\": \"tool_calls\"}], \"usage\": {\"prompt_tokens\": 8127, \"completion_tokens\": 433, \"total_tokens\": 8560}}"} -{"request_id":"msg_011CfdwBUsNhr19gQNVcFsUe","response_id":"msg_011CfdwBUsNhr19gQNVcFsUe","call_type":"anthropic_messages","api_key":"","key_alias":"local-tracing-fixture","team_id":"","team_alias":"","organization_id":"","user":"","end_user":"","model":"claude-sonnet","model_group":"claude-sonnet","model_id":"","custom_llm_provider":"anthropic","api_base":"","spend":0.01,"prompt_tokens":8494,"completion_tokens":415,"total_tokens":8909,"cache_read_tokens":0,"cache_write_tokens":0,"start_time":1790968039099,"end_time":1790968042916,"completion_start_time":null,"status":"success","error_str":"","cache_hit":false,"session_id":"b2952a96b863250c304cef3376fe4c82","trace_id":"b2952a96b863250c304cef3376fe4c82","span_id":"73aee64af021a907","request_tags":["local-tracing-fixture"],"metadata":"{\"fixture\": \"deeplite_swarm\", \"synthetic_spend\": true}","messages":"[{\"role\": \"system\", \"content\": \"You are the editor. Use the shared conversation to write one concise answer with source URLs. Write the final answer to /answer.md in the shared virtual filesystem before replying. If important issues remain, hand off to the right agent before answering.\"}, {\"role\": \"user\", \"content\": \"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01B2LfHGDjYSFJhmiXNj4CuQ\", \"type\": \"function\", \"function\": {\"name\": \"web_search\", \"arguments\": \"{\\\"query\\\": \\\"docs.python.org tuples immutable sequences lists mutable data structures tutorial\\\"}\"}}]}, {\"role\": \"tool\", \"content\": \"[{\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\\\"]}, {\\\"title\\\": \\\"3. Data model \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/reference/datamodel.html\\\", \\\"highlights\\\": [\\\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.7 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/builtins/stdtypes.html\\\", \\\"highlights\\\": [\\\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"Built-in Types \\\\u2014 Python 3.14.5 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3/library/stdtypes.html\\\", \\\"highlights\\\": [\\\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\\\"]}, {\\\"title\\\": \\\"5. Data Structures \\\\u2014 Python 3.10.20 documentation\\\", \\\"url\\\": \\\"https://docs.python.org/3.10/tutorial/datastructures.html\\\", \\\"highlights\\\": [\\\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\\\"\\\\\\\", line 1, in \\\\nTypeError: 'tuple' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\\\"]}]\", \"name\": \"web_search\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01Xjj3aRdWyhBJfPmTJBxQa9\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_skeptic\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to skeptic\", \"name\": \"transfer_to_skeptic\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01H6fV8JvRJNvXy47eRnd3jH\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_verifier\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to verifier\", \"name\": \"transfer_to_verifier\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01XEAuhQHCBdyCwtymZwFfDi\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_red_team\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to red_team\", \"name\": \"transfer_to_red_team\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01VBrWdWEWYgit4kNYehBMU5\", \"type\": \"function\", \"function\": {\"name\": \"transfer_to_editor\", \"arguments\": \"{}\"}}]}, {\"role\": \"tool\", \"content\": \"Successfully transferred to editor\", \"name\": \"transfer_to_editor\"}, {\"role\": \"assistant\", \"content\": \"\", \"tool_calls\": [{\"id\": \"toolu_01Bm8AU9EsQUwqoVLYpxKA77\", \"type\": \"function\", \"function\": {\"name\": \"write_file\", \"arguments\": \"{\\\"file_path\\\": \\\"/answer.md\\\", \\\"content\\\": \\\"**Tuple vs. list immutability (Python)**\\\\n\\\\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\\\\n\\\\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\\\\n\\\\nSources:\\\\n- https://docs.python.org/3/tutorial/datastructures.html\\\\n- https://docs.python.org/3/reference/datamodel.html\\\\n- https://docs.python.org/3/library/stdtypes.html\\\\n\\\"}\"}}]}, {\"role\": \"tool\", \"content\": \"Updated file /answer.md\", \"name\": \"write_file\"}]","response":"{\"id\": \"msg_011CfdwBUsNhr19gQNVcFsUe\", \"model\": \"claude-sonnet\", \"choices\": [{\"index\": 0, \"message\": {\"role\": \"assistant\", \"content\": \"I wrote the answer to `/answer.md`. It is about 100 words, under the 120-word limit.\\n\\nI did not get a skeptic or verifier check. I handed off to both, but neither returned any feedback. I also tried to hand off to a `red_team` agent, and that transfer isn't one of the tools I was given. I then wrote the answer myself from the official Python documentation search results. I didn't open the pages directly.\\n\\n**Tuple vs. list immutability (Python)**\\n\\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\\n\\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\\n\\nSources:\\n- https://docs.python.org/3/tutorial/datastructures.html\\n- https://docs.python.org/3/reference/datamodel.html\\n- https://docs.python.org/3/library/stdtypes.html\"}, \"finish_reason\": \"stop\"}], \"usage\": {\"prompt_tokens\": 8494, \"completion_tokens\": 415, \"total_tokens\": 8909}}"} diff --git a/litellm-rust/crates/traces-clickhouse/tests/insert.rs b/litellm-rust/crates/traces-clickhouse/tests/insert.rs index 2d1c98668e2..c552a512713 100644 --- a/litellm-rust/crates/traces-clickhouse/tests/insert.rs +++ b/litellm-rust/crates/traces-clickhouse/tests/insert.rs @@ -138,3 +138,56 @@ fn insert_encoding_preserves_timestamp_precision_and_other_fields( fn insert_encoding_rejects_invalid_span_timestamps(#[case] timestamp: Value) { assert!(encode_rows(vec![BTreeMap::from([("Timestamp".into(), timestamp)])]).is_err()); } + +#[test] +fn insert_byte_limit_environment_controls_transport() { + for value in ["1", "1024", "0", "invalid"] { + let result = std::process::Command::new(std::env::current_exe().unwrap()) + .args(["--exact", "insert_byte_limit_environment_child"]) + .env("LITELLM_TEST_INSERT_LIMIT", value) + .env("CLICKHOUSE_TRACE_MAX_INSERT_BYTES", value) + .output() + .unwrap(); + assert!( + result.status.success(), + "{}", + String::from_utf8_lossy(&result.stdout) + ); + } +} + +#[tokio::test] +async fn insert_byte_limit_environment_child() { + let Ok(value) = std::env::var("LITELLM_TEST_INSERT_LIMIT") else { + return; + }; + let server = MockServer::start().await; + Mock::given(method("POST")) + .respond_with(ResponseTemplate::new(200)) + .mount(&server) + .await; + let connection = Connection::parse(&server.uri()).unwrap(); + let result = insert_shared_rows( + &Client::no_redirect_for_test(), + &connection, + "traces", + InsertTable::OtelTraces, + vec![BTreeMap::from([( + "SpanId".into(), + Shared::new(json!("test")), + )])], + ) + .await; + match value.as_str() { + "1" => assert!(matches!(result, Err(Error::InsertTooLarge))), + "1024" => assert!(result.is_ok()), + _ => assert!(matches!( + result, + Err(Error::InvalidLimit("CLICKHOUSE_TRACE_MAX_INSERT_BYTES")) + )), + } + assert_eq!( + server.received_requests().await.unwrap().len(), + usize::from(value == "1024") + ); +} diff --git a/litellm-rust/crates/traces-clickhouse/tests/queries.rs b/litellm-rust/crates/traces-clickhouse/tests/queries.rs index d973b3a565d..5cb0ee4bfcd 100644 --- a/litellm-rust/crates/traces-clickhouse/tests/queries.rs +++ b/litellm-rust/crates/traces-clickhouse/tests/queries.rs @@ -244,10 +244,11 @@ async fn typed_trace_cursor_returns_the_next_fixture_trace( } #[rstest] -#[case::authentication_error(include_bytes!("../../traces/tests/fixtures/deeplite_auth_error.json"))] -#[case::swarm(include_bytes!("../../traces/tests/fixtures/deeplite_swarm.json"))] +#[case::billed_failure(include_bytes!("../../traces/tests/fixtures/google_adk_billed_failure.json"))] +#[case::retry(include_bytes!("../../traces/tests/fixtures/pydantic_ai_retry.json"))] +#[case::swarm(include_bytes!("../../traces/tests/fixtures/deepagents_swarm.json"))] #[tokio::test] -async fn captured_deeplite_exports_round_trip_through_clickhouse( +async fn captured_sdk_exports_round_trip_through_clickhouse( #[future(awt)] migrated_database: TestResult, admin_access: TestResult, #[case] export: &[u8], diff --git a/litellm-rust/crates/traces/src/error.rs b/litellm-rust/crates/traces/src/error.rs index 4b404782083..ee14abf8b8f 100644 --- a/litellm-rust/crates/traces/src/error.rs +++ b/litellm-rust/crates/traces/src/error.rs @@ -2,6 +2,8 @@ pub enum Error { #[error("invalid OTLP trace payload")] InvalidPayload, + #[error("{0} must be a positive integer")] + InvalidLimit(&'static str), #[error("OTLP trace payload exceeds the decoding budget")] TooLarge, #[error("OTLP token count is outside the storage range")] diff --git a/litellm-rust/crates/traces/src/lib.rs b/litellm-rust/crates/traces/src/lib.rs index 1e2eca3f7cc..a44679a59f3 100644 --- a/litellm-rust/crates/traces/src/lib.rs +++ b/litellm-rust/crates/traces/src/lib.rs @@ -30,7 +30,7 @@ pub use normalize::{ AgentMetadata, AgentType, CallEvidence, CallEvidenceKind, CallKey, Integration, NormalizedSpan, ObservationType, }; -pub use otlp::{DecodedEvent, DecodedSpan, decode_otlp}; +pub use otlp::{DecodeLimits, DecodedEvent, DecodedSpan, decode_otlp, decode_otlp_with_limits}; pub use query::ReadQuery; pub use query_access::QueryScope; pub use resolve::{SpendLookup, iso_time, listed_summary, resolve_trace}; diff --git a/litellm-rust/crates/traces/src/otlp/attributes.rs b/litellm-rust/crates/traces/src/otlp/attributes.rs index fb3f627697a..79239d314bf 100644 --- a/litellm-rust/crates/traces/src/otlp/attributes.rs +++ b/litellm-rust/crates/traces/src/otlp/attributes.rs @@ -8,7 +8,7 @@ use serde::{ ser::{SerializeMap, SerializeSeq}, }; -use super::limits::{Budget, MAX_ATTRIBUTES}; +use super::limits::Budget; use crate::Error; struct AttributeWriter<'a> { @@ -33,7 +33,7 @@ pub(super) fn attributes( values: Vec, budget: &mut Budget, ) -> Result, Error> { - if values.len() > MAX_ATTRIBUTES { + if values.len() > budget.limits.attributes { return Err(Error::TooLarge); } values diff --git a/litellm-rust/crates/traces/src/otlp/limits.rs b/litellm-rust/crates/traces/src/otlp/limits.rs index ca1ac144346..432b863b5af 100644 --- a/litellm-rust/crates/traces/src/otlp/limits.rs +++ b/litellm-rust/crates/traces/src/otlp/limits.rs @@ -5,14 +5,62 @@ use serde::de::{DeserializeSeed, MapAccess, SeqAccess, Visitor}; use crate::{Error, Shared}; -pub(super) const MAX_DEPTH: usize = 32; -pub(super) const MAX_NODES: usize = 65_536; -pub(super) const MAX_SPANS: usize = 4_096; -pub(super) const MAX_ATTRIBUTES: usize = 256; -pub(super) const MAX_EVENTS: usize = 256; -pub(super) const MAX_DECODED_SPAN_BYTES: usize = 16 * 1024 * 1024; +#[derive(Clone, Copy, Debug)] +pub struct DecodeLimits { + pub depth: usize, + pub nodes: usize, + pub spans: usize, + pub attributes: usize, + pub events: usize, + pub links: usize, + pub decoded_span_bytes: usize, +} -pub(super) fn json_preflight(payload: &[u8]) -> Result<(), Error> { +impl Default for DecodeLimits { + fn default() -> Self { + Self { + depth: 32, + nodes: 65_536, + spans: 4_096, + attributes: 256, + events: 256, + links: 256, + decoded_span_bytes: 16 * 1024 * 1024, + } + } +} + +impl DecodeLimits { + pub fn from_env() -> Result { + let defaults = Self::default(); + Ok(Self { + depth: env_limit("OTLP_MAX_DECODE_DEPTH", defaults.depth)?, + nodes: env_limit("OTLP_MAX_DECODE_NODES", defaults.nodes)?, + spans: env_limit("OTLP_MAX_SPANS", defaults.spans)?, + attributes: env_limit("OTLP_MAX_ATTRIBUTES", defaults.attributes)?, + events: env_limit("OTLP_MAX_EVENTS", defaults.events)?, + links: env_limit("OTLP_MAX_LINKS", defaults.links)?, + decoded_span_bytes: env_limit( + "OTLP_MAX_DECODED_SPAN_BYTES", + defaults.decoded_span_bytes, + )?, + }) + } +} + +fn env_limit(name: &'static str, default: usize) -> Result { + match std::env::var(name) { + Ok(value) => value + .parse::() + .ok() + .filter(|value| *value > 0) + .ok_or(Error::InvalidLimit(name)), + Err(std::env::VarError::NotPresent) => Ok(default), + Err(_) => Err(Error::InvalidLimit(name)), + } +} + +pub(super) fn json_preflight(payload: &[u8], limits: &DecodeLimits) -> Result<(), Error> { let mut nodes = 0; let mut exceeded = false; let mut decoder = serde_json::Deserializer::from_slice(payload); @@ -20,6 +68,7 @@ pub(super) fn json_preflight(payload: &[u8]) -> Result<(), Error> { nodes: &mut nodes, exceeded: &mut exceeded, depth: 0, + limits, } .deserialize(&mut decoder) .and_then(|()| decoder.end()); @@ -33,6 +82,7 @@ struct JsonBudget<'a> { nodes: &'a mut usize, exceeded: &'a mut bool, depth: usize, + limits: &'a DecodeLimits, } impl<'de> DeserializeSeed<'de> for JsonBudget<'_> { @@ -40,7 +90,7 @@ impl<'de> DeserializeSeed<'de> for JsonBudget<'_> { fn deserialize>(self, decoder: D) -> Result<(), D::Error> { *self.nodes += 1; - if *self.nodes > MAX_NODES || self.depth > MAX_DEPTH { + if *self.nodes > self.limits.nodes || self.depth > self.limits.depth { *self.exceeded = true; return Err(serde::de::Error::custom("OTLP structure exceeds budget")); } @@ -79,6 +129,7 @@ impl<'de> Visitor<'de> for JsonBudget<'_> { nodes: self.nodes, exceeded: self.exceeded, depth: self.depth + 1, + limits: self.limits, })? .is_some() {} @@ -91,6 +142,7 @@ impl<'de> Visitor<'de> for JsonBudget<'_> { nodes: self.nodes, exceeded: self.exceeded, depth: self.depth + 1, + limits: self.limits, })? .is_some() { @@ -98,6 +150,7 @@ impl<'de> Visitor<'de> for JsonBudget<'_> { nodes: self.nodes, exceeded: self.exceeded, depth: self.depth + 1, + limits: self.limits, })?; } Ok(()) @@ -146,8 +199,8 @@ impl MessageKind { } } -pub(super) fn protobuf_preflight(payload: &[u8]) -> Result<(), Error> { - scan_message(payload, MessageKind::Export, 0, &mut 0) +pub(super) fn protobuf_preflight(payload: &[u8], limits: &DecodeLimits) -> Result<(), Error> { + scan_message(payload, MessageKind::Export, 0, &mut 0, limits) } fn scan_message( @@ -155,13 +208,14 @@ fn scan_message( kind: MessageKind, depth: usize, nodes: &mut usize, + limits: &DecodeLimits, ) -> Result<(), Error> { - if depth > MAX_DEPTH { + if depth > limits.depth { return Err(Error::TooLarge); } while !payload.is_empty() { *nodes += 1; - if *nodes > MAX_NODES { + if *nodes > limits.nodes { return Err(Error::TooLarge); } let (tag, wire) = decode_key(&mut payload).map_err(|_| Error::InvalidPayload)?; @@ -171,7 +225,7 @@ fn scan_message( let (message, rest) = payload .split_at_checked(length) .ok_or(Error::InvalidPayload)?; - scan_message(message, child, depth + 1, nodes)?; + scan_message(message, child, depth + 1, nodes, limits)?; payload = rest; } else { skip_field(wire, tag, &mut payload, DecodeContext::default()) @@ -183,11 +237,15 @@ fn scan_message( pub(super) struct Budget { remaining: usize, + pub(super) limits: DecodeLimits, } impl Budget { - pub(super) fn new(remaining: usize) -> Self { - Self { remaining } + pub(super) fn new(limits: DecodeLimits) -> Self { + Self { + remaining: limits.decoded_span_bytes, + limits, + } } pub(super) fn clone_shared( diff --git a/litellm-rust/crates/traces/src/otlp/mod.rs b/litellm-rust/crates/traces/src/otlp/mod.rs index 1f4da76ca60..2e17d868090 100644 --- a/litellm-rust/crates/traces/src/otlp/mod.rs +++ b/litellm-rust/crates/traces/src/otlp/mod.rs @@ -3,6 +3,8 @@ mod limits; mod span; mod wire; +pub use limits::DecodeLimits; + use serde::Serialize; use std::collections::BTreeMap; @@ -36,6 +38,14 @@ pub struct DecodedSpan { } pub fn decode_otlp(body: &[u8], content_type: Option<&str>) -> Result, Error> { - let request = wire::decode(body, content_type)?; - span::flatten(request) + decode_otlp_with_limits(body, content_type, DecodeLimits::from_env()?) +} + +pub fn decode_otlp_with_limits( + body: &[u8], + content_type: Option<&str>, + limits: DecodeLimits, +) -> Result, Error> { + let request = wire::decode(body, content_type, &limits)?; + span::flatten(request, limits) } diff --git a/litellm-rust/crates/traces/src/otlp/span.rs b/litellm-rust/crates/traces/src/otlp/span.rs index 0261e4aeb07..5ab2392ab04 100644 --- a/litellm-rust/crates/traces/src/otlp/span.rs +++ b/litellm-rust/crates/traces/src/otlp/span.rs @@ -8,15 +8,18 @@ use opentelemetry_proto::tonic::{ use super::{ DecodedEvent, DecodedSpan, attributes::attributes, - limits::{Budget, MAX_ATTRIBUTES, MAX_DECODED_SPAN_BYTES, MAX_EVENTS, MAX_SPANS}, + limits::{Budget, DecodeLimits}, }; use crate::{ Error, Shared, normalize::{SpanContext, normalize}, }; -pub(super) fn flatten(request: ExportTraceServiceRequest) -> Result, Error> { - let mut budget = Budget::new(MAX_DECODED_SPAN_BYTES); +pub(super) fn flatten( + request: ExportTraceServiceRequest, + limits: DecodeLimits, +) -> Result, Error> { + let mut budget = Budget::new(limits); let mut spans = Vec::new(); for resource in request.resource_spans { append_resource(resource, &mut budget, &mut spans)?; @@ -49,17 +52,17 @@ fn append_scope( spans: &mut Vec, ) -> Result<(), Error> { let scope = scope_spans.scope.unwrap_or_default(); - if scope.attributes.len() > MAX_ATTRIBUTES { + if scope.attributes.len() > budget.limits.attributes { return Err(Error::TooLarge); } budget.consume(scope.name.len() + scope.version.len())?; let scope_name: Shared = scope.name.into(); let scope_version: Shared = scope.version.into(); for span in scope_spans.spans { - if spans.len() >= MAX_SPANS { + if spans.len() >= budget.limits.spans { return Err(Error::TooLarge); } - validate_span(&span)?; + validate_span(&span, &budget.limits)?; budget.consume( span.name.len() + span.trace_state.len() @@ -85,7 +88,7 @@ fn valid_id(value: &[u8], length: usize) -> bool { value.len() == length && value.iter().any(|byte| *byte != 0) } -fn validate_span(span: &Span) -> Result<(), Error> { +fn validate_span(span: &Span, limits: &DecodeLimits) -> Result<(), Error> { if !valid_id(&span.trace_id, 16) || !valid_id(&span.span_id, 8) || (!span.parent_span_id.is_empty() && !valid_id(&span.parent_span_id, 8)) @@ -99,17 +102,17 @@ fn validate_span(span: &Span) -> Result<(), Error> { { return Err(Error::InvalidPayload); } - if span.events.len() > MAX_EVENTS - || span.links.len() > MAX_EVENTS - || span.attributes.len() > MAX_ATTRIBUTES + if span.events.len() > limits.events + || span.links.len() > limits.links + || span.attributes.len() > limits.attributes || span .links .iter() - .any(|link| link.attributes.len() > MAX_ATTRIBUTES) + .any(|link| link.attributes.len() > limits.attributes) || span .events .iter() - .any(|event| event.attributes.len() > MAX_ATTRIBUTES) + .any(|event| event.attributes.len() > limits.attributes) { return Err(Error::TooLarge); } diff --git a/litellm-rust/crates/traces/src/otlp/wire.rs b/litellm-rust/crates/traces/src/otlp/wire.rs index 2330ac12be3..d61d4099b96 100644 --- a/litellm-rust/crates/traces/src/otlp/wire.rs +++ b/litellm-rust/crates/traces/src/otlp/wire.rs @@ -1,7 +1,7 @@ use opentelemetry_proto::tonic::collector::trace::v1::ExportTraceServiceRequest; use prost::Message; -use super::limits::{json_preflight, protobuf_preflight}; +use super::limits::{DecodeLimits, json_preflight, protobuf_preflight}; use crate::Error; #[derive(strum::EnumString)] @@ -19,6 +19,7 @@ enum OtlpMediaType { pub(super) fn decode( body: &[u8], content_type: Option<&str>, + limits: &DecodeLimits, ) -> Result { let media_type = content_type .unwrap_or("application/x-protobuf") @@ -31,11 +32,11 @@ pub(super) fn decode( let request = match media_type { OtlpMediaType::Json => { - json_preflight(body)?; + json_preflight(body, limits)?; serde_json::from_slice(body).map_err(|_| Error::InvalidPayload)? } OtlpMediaType::Protobuf => { - protobuf_preflight(body)?; + protobuf_preflight(body, limits)?; ExportTraceServiceRequest::decode(body).map_err(|_| Error::InvalidPayload)? } }; diff --git a/litellm-rust/crates/traces/tests/captures.rs b/litellm-rust/crates/traces/tests/captures.rs index fc3527f6253..ca498fc914a 100644 --- a/litellm-rust/crates/traces/tests/captures.rs +++ b/litellm-rust/crates/traces/tests/captures.rs @@ -330,9 +330,7 @@ fn append_response_id(document: &mut Value, trace_id: &str, span_id: &str, respo #[rstest] fn captured_trace_cost_matches_spend_logs( - #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] - #[exclude("deeplite_swarm")] - spend_logs: PathBuf, + #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] spend_logs: PathBuf, ) { let name = capture_name(&spend_logs); let (_, capture, rows, spends) = fixture(&spend_logs); @@ -347,9 +345,7 @@ fn captured_trace_cost_matches_spend_logs( #[rstest] fn unrelated_sibling_transport_leaves_cost_unchanged( - #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] - #[exclude("deeplite_swarm")] - spend_logs: PathBuf, + #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] spend_logs: PathBuf, ) { let name = capture_name(&spend_logs); let (_, capture, rows, spends) = fixture(&spend_logs); @@ -392,9 +388,7 @@ fn unrelated_sibling_transport_leaves_cost_unchanged( #[rstest] fn redundant_genai_response_id_keeps_call_evidence( - #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] - #[exclude("deeplite_swarm")] - spend_logs: PathBuf, + #[files("../traces-clickhouse/tests/fixtures/*_spend_logs.jsonl")] spend_logs: PathBuf, ) { let (data, capture, _, _) = fixture(&spend_logs); let name = capture.name; diff --git a/litellm-rust/crates/traces/tests/fixtures/deeplite_auth_error.json b/litellm-rust/crates/traces/tests/fixtures/deeplite_auth_error.json deleted file mode 100644 index ef207be9358..00000000000 --- a/litellm-rust/crates/traces/tests/fixtures/deeplite_auth_error.json +++ /dev/null @@ -1,1614 +0,0 @@ -{ - "resourceSpans": [ - { - "resource": { - "attributes": [ - { - "key": "telemetry.sdk.language", - "value": { - "stringValue": "python" - } - }, - { - "key": "telemetry.sdk.name", - "value": { - "stringValue": "opentelemetry" - } - }, - { - "key": "telemetry.sdk.version", - "value": { - "stringValue": "1.45.0" - } - }, - { - "key": "service.instance.id", - "value": { - "stringValue": "cedd2594-abc5-48f2-a9d1-b892921fadfd" - } - }, - { - "key": "service.name", - "value": { - "stringValue": "deeplite" - } - } - ] - }, - "scopeSpans": [ - { - "scope": { - "name": "langsmith" - }, - "spans": [ - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "93886a81b22f3dab", - "parentSpanId": "11f6195c25249ab1", - "name": "__start__", - "kind": 1, - "startTimeUnixNano": "1790967512073597952", - "endTimeUnixNano": "1790967512075591936", - "attributes": [ - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "__start__" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langgraph" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "0" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "__start__" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "__start__:af3b0b0a-9397-3b9d-0717-b11174443ca9" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "graph:step:0, langsmith:hidden" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "eyJtZXNzYWdlcyI6W3sicm9sZSI6InVzZXIiLCJjb250ZW50IjoiRm9yIGEgc3ludGhldGljIHRyYWNpbmcgZml4dHVyZSwgZXhwbGFpbiBQeXRob24gdHVwbGUgdmVyc3VzIGxpc3QgaW1tdXRhYmlsaXR5IGluIGF0IG1vc3QgMTIwIHdvcmRzLiBVc2Ugb25seSBvZmZpY2lhbCBQeXRob24gZG9jdW1lbnRhdGlvbiBpZiB5b3Ugc2VhcmNoLiBIYXZlIHRoZSBza2VwdGljIGFuZCB2ZXJpZmllciBjaGVjayBpdCwgdGhlbiBoYXZlIHRoZSBlZGl0b3Igd3JpdGUgL2Fuc3dlci5tZC4gS2VlcCB0aGUgcnVuIHNob3J0IGFuZCBkbyBub3QgYXNrIGZvbGxvdy11cCBxdWVzdGlvbnMuIn1dfQ==" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "eyJtZXNzYWdlcyI6W3sicm9sZSI6InVzZXIiLCJjb250ZW50IjoiRm9yIGEgc3ludGhldGljIHRyYWNpbmcgZml4dHVyZSwgZXhwbGFpbiBQeXRob24gdHVwbGUgdmVyc3VzIGxpc3QgaW1tdXRhYmlsaXR5IGluIGF0IG1vc3QgMTIwIHdvcmRzLiBVc2Ugb25seSBvZmZpY2lhbCBQeXRob24gZG9jdW1lbnRhdGlvbiBpZiB5b3Ugc2VhcmNoLiBIYXZlIHRoZSBza2VwdGljIGFuZCB2ZXJpZmllciBjaGVjayBpdCwgdGhlbiBoYXZlIHRoZSBlZGl0b3Igd3JpdGUgL2Fuc3dlci5tZC4gS2VlcCB0aGUgcnVuIHNob3J0IGFuZCBkbyBub3QgYXNrIGZvbGxvdy11cCBxdWVzdGlvbnMuIn1dfQ==" - } - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "aa1eaf69717f1df1", - "parentSpanId": "93886a81b22f3dab", - "name": "route_to_active_agent", - "kind": 1, - "startTimeUnixNano": "1790967512074637056", - "endTimeUnixNano": "1790967512075297024", - "attributes": [ - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "route_to_active_agent" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langgraph" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "0" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "__start__" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "__start__:af3b0b0a-9397-3b9d-0717-b11174443ca9" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "langsmith:hidden, seq:step:2" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "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" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "eyJvdXRwdXQiOiJyZXNlYXJjaGVyIn0=" - } - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "88d2e1bce2887a89", - "parentSpanId": "b580832fc04b0921", - "name": "ChatAnthropic", - "kind": 1, - "startTimeUnixNano": "1790967512090679808", - "endTimeUnixNano": "1790967512605561856", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chat" - } - }, - { - "key": "gen_ai.serialized.name", - "value": { - "stringValue": "ChatAnthropic" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "llm" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "ChatAnthropic" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "anthropic" - } - }, - { - "key": "gen_ai.request.model", - "value": { - "stringValue": "claude-sonnet" - } - }, - { - "key": "gen_ai.tool.definitions", - "value": { - "stringValue": "[{\"name\":\"ls\",\"input_schema\":{\"properties\":{\"path\":{\"description\":\"Absolute path to the directory to list. Must be absolute, not relative.\",\"type\":\"string\"}},\"required\":[\"path\"],\"type\":\"object\"},\"description\":\"Lists all files in a directory.\\n\\nThis is useful for exploring the filesystem and finding the right file to read or edit.\\nYou should almost ALWAYS use this tool before using the read_file or edit_file tools.\"},{\"name\":\"read_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path to the file to read. Must be absolute, not relative.\",\"type\":\"string\"},\"offset\":{\"default\":0,\"description\":\"Line number to start reading from (0-indexed). Use for pagination of large files.\",\"type\":\"integer\"},\"limit\":{\"default\":100,\"description\":\"Maximum number of lines to read. Use for pagination of large files.\",\"type\":\"integer\"}},\"required\":[\"file_path\"],\"type\":\"object\"},\"description\":\"Reads a file from the filesystem. Assume any path the user provides is valid; reading a missing file returns an error.\\n\\nUsage:\\n- By default, it reads up to 100 lines starting from the beginning of the file. Use `offset`/`limit` to page through large files instead of reading them whole.\\n- A status header, `@@ field | field | ... @@`, sits above the file content, and every line after it is verbatim file content. When content is truncated, there may be an explanation before the header. Never include the header when editing.\\n- Speculatively batch multiple `read_file` calls in one response when several files may be useful.\\n- An empty file returns a system-reminder warning in place of contents.\\n- Large tool results may be offloaded to a file; the tool message gives the path. Read that path here, paging with `offset`/`limit`.\\n- Images (`.png`, `.jpg`, etc.), audio, video, and PDFs return multimodal content blocks (https://docs.langchain.com/oss/python/langchain/messages#multimodal).\\n- For images and PDFs, pagination via `offset`/`limit` is text-only - supply `file_path` only\\n- Always read a file before editing it.\"},{\"name\":\"glob\",\"input_schema\":{\"properties\":{\"pattern\":{\"description\":\"Glob pattern to match files (e.g., '*.py', '**/*.py', '/subdir/**/*.md'). A pattern without '/' matches the file name at any depth; a pattern containing '/' matches the search-root-relative path; a leading '/' anchors to the search root ('/*.py' matches only top-level files). Leading-dot names are excluded unless the pattern segment starts with '.', so prefer the bare form '*.py' over '**/*.py' -- '**' will not descend into dot-directories like '.github'.\",\"type\":\"string\"},\"path\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Base directory to search from. Defaults to the backend's default root.\"}},\"required\":[\"pattern\"],\"type\":\"object\"},\"description\":\"Find files matching a glob pattern, returning absolute paths.\\n\\nSupports `*` (any characters within a path segment), `**` (any directories), `?` (single character), `[abc]` (one character from a set), and `{a,b}` (alternatives), e.g. `*.py`, `src/**/*.py`, `*.{yml,yaml}`.\\n\\nA pattern without `/` matches the file name at any depth under the search root (`*.py` matches `src/app/main.py`). A pattern containing `/` matches the search-root-relative path (`src/**/*.py`). A leading `/` anchors to the search root (`/*.py` matches only top-level Python files).\\n\\nLeading-dot names are only matched when the pattern segment itself starts with `.` (use `.env`, or `.github/**/*.yml`). Because `**` will not descend into dot-directories, the bare form `*.yml` is *broader* than `**/*.yml` and is usually what you want.\"},{\"name\":\"grep\",\"input_schema\":{\"properties\":{\"pattern\":{\"description\":\"Text pattern to search for (literal string, not regex).\",\"type\":\"string\"},\"path\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Directory to search in. Defaults to current working directory.\"},\"glob\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Glob pattern (NOT regex) limiting which files are searched (e.g. '*.py', '*.ts'). A pattern without '/' matches the file name at any depth; a pattern containing '/' matches the search-root-relative path (e.g. 'src/**/*.py'). This is an in-tool file filter, not a call to the separate glob tool. Brace expansion (e.g. '*.{ts,tsx}') is not supported on all backends; run a separate search per extension for reliable results.\"},\"output_mode\":{\"default\":\"files_with_matches\",\"description\":\"Shape of the returned text. 'files_with_matches' (default): newline-separated matching file paths. 'content': matching lines grouped by file under a ':' header, each line indented and formatted ': ' (only the matched line, no surrounding context). 'count': one ': ' line per file.\",\"enum\":[\"files_with_matches\",\"content\",\"count\"],\"type\":\"string\"},\"max_count\":{\"anyOf\":[{\"exclusiveMinimum\":0,\"type\":\"integer\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Optional cap on the total number of matches returned across all files. Leave unset to use the configured default. When the cap is hit, results are truncated and a note says so; narrow the pattern or path to see the rest.\"}},\"required\":[\"pattern\"],\"type\":\"object\"},\"description\":\"Search for a LITERAL text pattern across files (NOT regex).\\n\\nThe pattern is matched verbatim: regex metacharacters are ordinary characters, not operators. To match any of several strings, run a separate grep for each; `grep(pattern=\\\"foo|bar\\\")` searches for the literal text \\\"foo|bar\\\", and `.*` or `\\\\.` match those characters literally.\\n\\nReturns matching files or content per `output_mode`. Offloaded large tool results live under the artifacts root (`/large_tool_results/` by default); grep that directory to search them when you do not know the exact path.\"},{\"name\":\"web_search\",\"input_schema\":{\"properties\":{\"query\":{\"type\":\"string\"}},\"required\":[\"query\"],\"type\":\"object\"},\"description\":\"Search the web with Exa for current facts and return excerpts with source URLs\"},{\"name\":\"transfer_to_skeptic\",\"input_schema\":{\"properties\":{},\"type\":\"object\"},\"description\":\"Send findings to the skeptic for critique\"},{\"name\":\"transfer_to_verifier\",\"input_schema\":{\"properties\":{},\"type\":\"object\"},\"description\":\"Send revised findings for source verification\"}]" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_chat_model" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "model" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd|model:2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.ls_provider", - "value": { - "stringValue": "anthropic" - } - }, - { - "key": "langsmith.metadata.ls_model_name", - "value": { - "stringValue": "claude-sonnet" - } - }, - { - "key": "langsmith.metadata.ls_model_type", - "value": { - "stringValue": "chat" - } - }, - { - "key": "langsmith.metadata.ls_max_tokens", - "value": { - "intValue": "4096" - } - }, - { - "key": "langsmith.metadata.lc_versions", - "value": { - "stringValue": "{\"langchain-core\":\"1.6.6\",\"langchain\":\"1.4.3\",\"langchain-anthropic\":\"1.7.5\"}" - } - }, - { - "key": "langsmith.metadata.ls_method", - "value": { - "stringValue": "traceable" - } - }, - { - "key": "langsmith.metadata.model", - "value": { - "stringValue": "claude-sonnet" - } - }, - { - "key": "langsmith.metadata.max_tokens", - "value": { - "intValue": "4096" - } - }, - { - "key": "langsmith.metadata.model_kwargs", - "value": { - "stringValue": "{}" - } - }, - { - "key": "langsmith.metadata.streaming", - "value": { - "boolValue": false - } - }, - { - "key": "langsmith.metadata.max_retries", - "value": { - "intValue": "2" - } - }, - { - "key": "langsmith.metadata._type", - "value": { - "stringValue": "anthropic-chat" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - 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} - } - ], - "events": [ - { - "timeUnixNano": "1790967512686323000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "b580832fc04b0921", - "parentSpanId": "382ca31426f8f943", - "name": "UnsupportedContentMiddleware.wrap_model_call", - "kind": 1, - "startTimeUnixNano": "1790967512081928960", - "endTimeUnixNano": "1790967512610889984", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "UnsupportedContentMiddleware.wrap_model_call" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_create_agent" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "model" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd|model:2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.ls_method", - "value": { - "stringValue": "traceable" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "eyJvdXRwdXQiOm51bGx9" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512686465000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "382ca31426f8f943", - "parentSpanId": "e247cc846cdbc99e", - "name": "FilesystemMiddleware.wrap_model_call", - "kind": 1, - "startTimeUnixNano": "1790967512080943104", - "endTimeUnixNano": "1790967512614221056", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "FilesystemMiddleware.wrap_model_call" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_create_agent" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "model" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd|model:2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.ls_method", - "value": { - "stringValue": "traceable" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "eyJvdXRwdXQiOm51bGx9" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512686562000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "e247cc846cdbc99e", - "parentSpanId": "77a5ba07fbe8fb8b", - "name": "model", - "kind": 1, - "startTimeUnixNano": "1790967512077792000", - "endTimeUnixNano": "1790967512617573888", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "model" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_create_agent" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "model" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"model\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd|model:2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "graph:step:1" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "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" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512686704000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "77a5ba07fbe8fb8b", - "parentSpanId": "7b77a08f725c2a60", - "name": "researcher", - "kind": 1, - "startTimeUnixNano": "1790967512076764160", - "endTimeUnixNano": "1790967512623192064", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_create_agent" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:researcher\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"researcher\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "seq:step:1" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "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" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512687171000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "7b77a08f725c2a60", - "parentSpanId": "11f6195c25249ab1", - "name": "researcher", - "kind": 1, - "startTimeUnixNano": "1790967512076327168", - "endTimeUnixNano": "1790967512626224128", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langgraph" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "1" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "researcher" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:researcher\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"researcher\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "researcher:816a3f65-9150-0b6d-54aa-920fdcfe25cd" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "graph:step:1" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "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" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512687277000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "11f6195c25249ab1", - "parentSpanId": "9e65698af98970b0", - "name": "LangGraph", - "kind": 1, - "startTimeUnixNano": "1790967512019313152", - "endTimeUnixNano": "1790967512630693888", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "gen_ai.completion", - "value": { - "bytesValue": "e30=" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "LangGraph" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langgraph" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "eyJtZXNzYWdlcyI6W3sicm9sZSI6InVzZXIiLCJjb250ZW50IjoiRm9yIGEgc3ludGhldGljIHRyYWNpbmcgZml4dHVyZSwgZXhwbGFpbiBQeXRob24gdHVwbGUgdmVyc3VzIGxpc3QgaW1tdXRhYmlsaXR5IGluIGF0IG1vc3QgMTIwIHdvcmRzLiBVc2Ugb25seSBvZmZpY2lhbCBQeXRob24gZG9jdW1lbnRhdGlvbiBpZiB5b3Ugc2VhcmNoLiBIYXZlIHRoZSBza2VwdGljIGFuZCB2ZXJpZmllciBjaGVjayBpdCwgdGhlbiBoYXZlIHRoZSBlZGl0b3Igd3JpdGUgL2Fuc3dlci5tZC4gS2VlcCB0aGUgcnVuIHNob3J0IGFuZCBkbyBub3QgYXNrIGZvbGxvdy11cCBxdWVzdGlvbnMuIn1dfQ==" - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512687350000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "Exception" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'\n\n\nDuring task with name 'researcher' and id '816a3f65-9150-0b6d-54aa-920fdcfe25cd'" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: AnthropicAuthenticationError('Error code: 401 - {\\'type\\': \\'error\\', \\'error\\': {\\'type\\': \\'authentication_error\\', \\'message\\': \\'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\\\n\\\\nLiteLLM: model group \\\\\\'claude-sonnet\\\\\\' failed with the error above. No fallback was attempted.\\'}}')Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\n\n\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\n\nThe above exception was the direct cause of the following exception:\n\n\n\nTraceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\n\n\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\n\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'\n\n\nDuring task with name 'researcher' and id '816a3f65-9150-0b6d-54aa-920fdcfe25cd'\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "code": 1 - }, - "flags": 256 - } - ] - }, - { - "scope": { - "name": "deeplite" - }, - "spans": [ - { - "traceId": "7b787d5c997d768a725a3a2f0278e857", - "spanId": "9e65698af98970b0", - "name": "deeplite.run", - "kind": 1, - "startTimeUnixNano": "1790967512013991000", - "endTimeUnixNano": "1790967512696195000", - "attributes": [ - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "input.value", - "value": { - "stringValue": "For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions." - } - } - ], - "events": [ - { - "timeUnixNano": "1790967512696180000", - "name": "exception", - "attributes": [ - { - "key": "exception.type", - "value": { - "stringValue": "langchain_anthropic.chat_models.AnthropicAuthenticationError" - } - }, - { - "key": "exception.message", - "value": { - "stringValue": "Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Traceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2597, in _generate\n raw_response = self._create(payload)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2176, in _create\n return self._client.messages.with_raw_response.create(**payload)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_response.py\", line 797, in wrapped\n return cast(APIResponse[R], func(*args, **kwargs))\n ~~~~^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_utils/_utils.py\", line 294, in wrapper\n return func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/resources/messages/messages.py\", line 1027, in create\n return self._post(\n ~~~~~~~~~~^\n \"/v1/messages\",\n ^^^^^^^^^^^^^^^\n ...<23 lines>...\n stream_cls=Stream[RawMessageStreamEvent],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1543, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/anthropic/_base_client.py\", line 1208, in request\n raise self._make_status_error_from_response(response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/opentelemetry/trace/__init__.py\", line 602, in use_span\n yield span\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/opentelemetry/sdk/trace/__init__.py\", line 1136, in start_as_current_span\n yield span\n File \"/workspace/deeplite/src/deeplite/cli.py\", line 22, in run_task\n result: Final = agent.invoke(\n ~~~~~~~~~~~~^\n {\"messages\": [{\"role\": \"user\", \"content\": task}]}, config={\"recursion_limit\": 40}\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1543, in model_node\n result = wrap_model_call_handler(request, _execute_model_sync)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 357, in composed\n outer_result = outer(request, inner_handler)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/filesystem.py\", line 3218, in wrap_model_call\n response = handler(request)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 347, in inner_handler\n inner_result = inner(req, handler)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/deepagents/middleware/unsupported_content.py\", line 191, in wrap_model_call\n return handler(self._filter_request(request))\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain/agents/factory.py\", line 1506, in _execute_model_sync\n output = model_.invoke(messages)\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/runnables/base.py\", line 6014, in invoke\n return self.bound.invoke(\n ~~~~~~~~~~~~~~~~~^\n input,\n ^^^^^^\n self._merge_configs(config),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n **{**self.kwargs, **kwargs},\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 488, in invoke\n self.generate_prompt(\n ~~~~~~~~~~~~~~~~~~~~^\n [self._convert_input(input)],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<6 lines>...\n **kwargs,\n ^^^^^^^^^\n ).generations[0][0],\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1877, in generate_prompt\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\n ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 1684, in generate\n self._generate_with_cache(\n ~~~~~~~~~~~~~~~~~~~~~~~~~^\n m,\n ^^\n ...<2 lines>...\n **kwargs,\n ^^^^^^^^^\n )\n ^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_core/language_models/chat_models.py\", line 2022, in _generate_with_cache\n result = self._generate(\n messages, stop=stop, run_manager=run_manager, **kwargs\n )\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 2601, in _generate\n _handle_anthropic_api_error(e)\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langchain_anthropic/chat_models.py\", line 1295, in _handle_anthropic_api_error\n raise AnthropicAuthenticationError(\n message=e.message, response=e.response, body=e.body\n ) from e\nlangchain_anthropic.chat_models.AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}\nDuring task with name 'model' and id '2e4e0d8e-70a5-697c-c7f4-e1f685fb1a31'\nDuring task with name 'researcher' and id '816a3f65-9150-0b6d-54aa-920fdcfe25cd'\n" - } - }, - { - "key": "exception.escaped", - "value": { - "stringValue": "False" - } - } - ] - } - ], - "status": { - "message": "AnthropicAuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'litellm.AuthenticationError: AnthropicException - {\"type\":\"error\",\"error\":{\"type\":\"authentication_error\",\"message\":\"API key is invalid.\"},\"request_id\":null}\\n\\nLiteLLM: model group \\'claude-sonnet\\' failed with the error above. No fallback was attempted.'}}", - "code": 2 - }, - "flags": 256 - } - ] - } - ] - } - ] -} diff --git a/litellm-rust/crates/traces/tests/fixtures/deeplite_swarm.json b/litellm-rust/crates/traces/tests/fixtures/deeplite_swarm.json deleted file mode 100644 index 19351078af8..00000000000 --- a/litellm-rust/crates/traces/tests/fixtures/deeplite_swarm.json +++ /dev/null @@ -1,9812 +0,0 @@ -{ - "resourceSpans": [ - { - "resource": { - "attributes": [ - { - "key": "telemetry.sdk.language", - "value": { - "stringValue": "python" - } - }, - { - "key": "telemetry.sdk.name", - "value": { - "stringValue": "opentelemetry" - } - }, - { - "key": "telemetry.sdk.version", - "value": { - "stringValue": "1.45.0" - } - }, - { - "key": "service.instance.id", - "value": { - "stringValue": "b873df4c-5106-4097-a20b-b9380724f4d9" - } - }, - { - "key": "service.name", - "value": { - "stringValue": "deeplite" - } - } - ] - }, - "scopeSpans": [ - { - "scope": { - "name": "langsmith" - }, - "spans": [ - { - "traceId": "b2952a96b863250c304cef3376fe4c82", - 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"stringValue": "[\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"__start__\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "__start__:a08efee1-6b20-6c11-d2f1-f04016499ab0" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "langsmith:hidden, graph:step:0" - } - }, - { - "key": "gen_ai.prompt", - 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic')" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: ParentCommand(Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic')" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: ParentCommand(Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. 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It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic')" - } - }, - { - "key": "exception.stacktrace", - "value": { - "stringValue": "Exception: ParentCommand(Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-3cd8-79f1-88a1-ce6cee294e79-0', tool_calls=[{'name': 'transfer_to_skeptic', 'args': {}, 'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7378, 'output_tokens': 33, 'total_tokens': 7411, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='Successfully transferred to skeptic', name='transfer_to_skeptic', tool_call_id='toolu_01Xjj3aRdWyhBJfPmTJBxQa9')], 'active_agent': 'skeptic'}, goto='skeptic'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='researcher:9227aa30-2ab0-7e70-70d0-d760f3ff5828', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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'thinking': '', 'type': 'thinking'}, {'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_verifier', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwAMRdS21FeJfzQhM3s', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7396, 'output_tokens': 770, 'output_tokens_details': {'thinking_tokens': 739}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='skeptic', id='lc_run--01a0fe03-4ae9-76c0-89a6-4f0b114e3030-0', tool_calls=[{'name': 'transfer_to_verifier', 'args': {}, 'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7396, 'output_tokens': 770, 'total_tokens': 8166, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 739}}), ToolMessage(content='Successfully transferred to verifier', name='transfer_to_verifier', tool_call_id='toolu_01H6fV8JvRJNvXy47eRnd3jH')], 'active_agent': 'verifier'}, goto='verifier'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. 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^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. 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The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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- "value": { - "stringValue": "[{\"name\":\"ls\",\"input_schema\":{\"properties\":{\"path\":{\"description\":\"Absolute path to the directory to list. Must be absolute, not relative.\",\"type\":\"string\"}},\"required\":[\"path\"],\"type\":\"object\"},\"description\":\"Lists all files in a directory.\\n\\nThis is useful for exploring the filesystem and finding the right file to read or edit.\\nYou should almost ALWAYS use this tool before using the read_file or edit_file tools.\"},{\"name\":\"read_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path to the file to read. Must be absolute, not relative.\",\"type\":\"string\"},\"offset\":{\"default\":0,\"description\":\"Line number to start reading from (0-indexed). Use for pagination of large files.\",\"type\":\"integer\"},\"limit\":{\"default\":100,\"description\":\"Maximum number of lines to read. Use for pagination of large files.\",\"type\":\"integer\"}},\"required\":[\"file_path\"],\"type\":\"object\"},\"description\":\"Reads a file from the filesystem. Assume any path the user provides is valid; reading a missing file returns an error.\\n\\nUsage:\\n- By default, it reads up to 100 lines starting from the beginning of the file. Use `offset`/`limit` to page through large files instead of reading them whole.\\n- A status header, `@@ field | field | ... @@`, sits above the file content, and every line after it is verbatim file content. When content is truncated, there may be an explanation before the header. Never include the header when editing.\\n- Speculatively batch multiple `read_file` calls in one response when several files may be useful.\\n- An empty file returns a system-reminder warning in place of contents.\\n- Large tool results may be offloaded to a file; the tool message gives the path. Read that path here, paging with `offset`/`limit`.\\n- Images (`.png`, `.jpg`, etc.), audio, video, and PDFs return multimodal content blocks (https://docs.langchain.com/oss/python/langchain/messages#multimodal).\\n- For images and PDFs, pagination via `offset`/`limit` is text-only - supply `file_path` only\\n- Always read a file before editing it.\"},{\"name\":\"glob\",\"input_schema\":{\"properties\":{\"pattern\":{\"description\":\"Glob pattern to match files (e.g., '*.py', '**/*.py', '/subdir/**/*.md'). A pattern without '/' matches the file name at any depth; a pattern containing '/' matches the search-root-relative path; a leading '/' anchors to the search root ('/*.py' matches only top-level files). 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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'thinking': '', 'type': 'thinking'}, {'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_verifier', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwAMRdS21FeJfzQhM3s', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7396, 'output_tokens': 770, 'output_tokens_details': {'thinking_tokens': 739}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='skeptic', id='lc_run--01a0fe03-4ae9-76c0-89a6-4f0b114e3030-0', tool_calls=[{'name': 'transfer_to_verifier', 'args': {}, 'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7396, 'output_tokens': 770, 'total_tokens': 8166, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 739}}), ToolMessage(content='Successfully transferred to verifier', name='transfer_to_verifier', tool_call_id='toolu_01H6fV8JvRJNvXy47eRnd3jH')], 'active_agent': 'verifier'}, goto='verifier'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='skeptic:3dfc4328-0d19-e1ea-bcda-3d3d36d7cda8', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. 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So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7396, 'output_tokens': 770, 'total_tokens': 8166, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 739}}), ToolMessage(content='Successfully transferred to verifier', name='transfer_to_verifier', tool_call_id='toolu_01H6fV8JvRJNvXy47eRnd3jH')], 'active_agent': 'verifier'}, goto='verifier'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='skeptic:3dfc4328-0d19-e1ea-bcda-3d3d36d7cda8', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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'thinking': '', 'type': 'thinking'}, {'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_verifier', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwAMRdS21FeJfzQhM3s', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7396, 'output_tokens': 770, 'output_tokens_details': {'thinking_tokens': 739}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='skeptic', id='lc_run--01a0fe03-4ae9-76c0-89a6-4f0b114e3030-0', tool_calls=[{'name': 'transfer_to_verifier', 'args': {}, 'id': 'toolu_01H6fV8JvRJNvXy47eRnd3jH', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 7396, 'output_tokens': 770, 'total_tokens': 8166, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 739}}), ToolMessage(content='Successfully transferred to verifier', name='transfer_to_verifier', tool_call_id='toolu_01H6fV8JvRJNvXy47eRnd3jH')], 'active_agent': 'verifier'}, goto='verifier'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='skeptic:3dfc4328-0d19-e1ea-bcda-3d3d36d7cda8', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7396, 'output_tokens': 770, 'total_tokens': 8166, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 739}}), ToolMessage(content='Successfully transferred to verifier', name='transfer_to_verifier', tool_call_id='toolu_01H6fV8JvRJNvXy47eRnd3jH')], 'active_agent': 'verifier'}, goto='verifier'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='skeptic:3dfc4328-0d19-e1ea-bcda-3d3d36d7cda8', update={'messages': 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Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7509, 'output_tokens': 88, 'total_tokens': 7597, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 55}}), ToolMessage(content='Successfully transferred to red_team', name='transfer_to_red_team', tool_call_id='toolu_01XEAuhQHCBdyCwtymZwFfDi')], 'active_agent': 'red_team'}, goto='red_team'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='verifier:544dea40-e16b-458c-1464-128e1b9b10a9', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7509, 'output_tokens': 88, 'total_tokens': 7597, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 55}}), ToolMessage(content='Successfully transferred to red_team', name='transfer_to_red_team', tool_call_id='toolu_01XEAuhQHCBdyCwtymZwFfDi')], 'active_agent': 'red_team'}, goto='red_team'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='verifier:544dea40-e16b-458c-1464-128e1b9b10a9', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7509, 'output_tokens': 88, 'total_tokens': 7597, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 55}}), ToolMessage(content='Successfully transferred to red_team', name='transfer_to_red_team', tool_call_id='toolu_01XEAuhQHCBdyCwtymZwFfDi')], 'active_agent': 'red_team'}, goto='red_team'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='verifier:544dea40-e16b-458c-1464-128e1b9b10a9', update={'messages': 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7509, 'output_tokens': 88, 'total_tokens': 7597, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 55}}), ToolMessage(content='Successfully transferred to red_team', name='transfer_to_red_team', tool_call_id='toolu_01XEAuhQHCBdyCwtymZwFfDi')], 'active_agent': 'red_team'}, goto='red_team'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='verifier:544dea40-e16b-458c-1464-128e1b9b10a9', update={'messages': 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7416, 'output_tokens': 151, 'total_tokens': 7567, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 119}}), ToolMessage(content='Successfully transferred to editor', name='transfer_to_editor', tool_call_id='toolu_01VBrWdWEWYgit4kNYehBMU5')], 'active_agent': 'editor'}, goto='editor'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='__parent__', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. 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Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. 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An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Must be absolute, not relative.\",\"type\":\"string\"}},\"required\":[\"path\"],\"type\":\"object\"},\"description\":\"Lists all files in a directory.\\n\\nThis is useful for exploring the filesystem and finding the right file to read or edit.\\nYou should almost ALWAYS use this tool before using the read_file or edit_file tools.\"},{\"name\":\"read_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path to the file to read. Must be absolute, not relative.\",\"type\":\"string\"},\"offset\":{\"default\":0,\"description\":\"Line number to start reading from (0-indexed). Use for pagination of large files.\",\"type\":\"integer\"},\"limit\":{\"default\":100,\"description\":\"Maximum number of lines to read. Use for pagination of large files.\",\"type\":\"integer\"}},\"required\":[\"file_path\"],\"type\":\"object\"},\"description\":\"Reads a file from the filesystem. Assume any path the user provides is valid; reading a missing file returns an error.\\n\\nUsage:\\n- By default, it reads up to 100 lines starting from the beginning of the file. Use `offset`/`limit` to page through large files instead of reading them whole.\\n- A status header, `@@ field | field | ... @@`, sits above the file content, and every line after it is verbatim file content. When content is truncated, there may be an explanation before the header. Never include the header when editing.\\n- Speculatively batch multiple `read_file` calls in one response when several files may be useful.\\n- An empty file returns a system-reminder warning in place of contents.\\n- Large tool results may be offloaded to a file; the tool message gives the path. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7416, 'output_tokens': 151, 'total_tokens': 7567, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 119}}), ToolMessage(content='Successfully transferred to editor', name='transfer_to_editor', tool_call_id='toolu_01VBrWdWEWYgit4kNYehBMU5')], 'active_agent': 'editor'}, goto='editor'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='red_team:15ccef64-4162-9e02-e87c-4cb0eb6ea16b', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7416, 'output_tokens': 151, 'total_tokens': 7567, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 119}}), ToolMessage(content='Successfully transferred to editor', name='transfer_to_editor', tool_call_id='toolu_01VBrWdWEWYgit4kNYehBMU5')], 'active_agent': 'editor'}, goto='editor'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='red_team:15ccef64-4162-9e02-e87c-4cb0eb6ea16b', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Keep the run short and do not ask follow-up questions.', additional_kwargs={}, response_metadata={}, id='46204305-f8ee-4384-9ce8-fcd80bfcdf75'), AIMessage(content=[{'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'caller': {'type': 'direct'}, 'input': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'name': 'web_search', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011Cfdw9aW9brenPqgybfNwP', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 2845, 'output_tokens': 73, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 'standard'}, 'model_name': 'claude-sonnet', 'model_provider': 'anthropic'}, name='researcher', id='lc_run--01a0fe03-21a3-7000-a381-284a6a0c03f7-0', tool_calls=[{'name': 'web_search', 'args': {'query': 'docs.python.org tuples immutable sequences lists mutable data structures tutorial'}, 'id': 'toolu_01B2LfHGDjYSFJhmiXNj4CuQ', 'type': 'tool_call'}], invalid_tool_calls=[], usage_metadata={'input_tokens': 2845, 'output_tokens': 73, 'total_tokens': 2918, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 0}}), ToolMessage(content='[{\"title\": \"5. Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\n## 5.4.\\\\n...\\\\n. Set objects\\\\n...\\\\n## 5.5. Dictionaries\\\\u00b6\\\\n\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. 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The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). 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Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7416, 'output_tokens': 151, 'total_tokens': 7567, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 119}}), ToolMessage(content='Successfully transferred to editor', name='transfer_to_editor', tool_call_id='toolu_01VBrWdWEWYgit4kNYehBMU5')], 'active_agent': 'editor'}, goto='editor'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='red_team:15ccef64-4162-9e02-e87c-4cb0eb6ea16b', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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invalid_tool_calls=[], usage_metadata={'input_tokens': 7416, 'output_tokens': 151, 'total_tokens': 7567, 'input_token_details': {'cache_read': 0, 'cache_creation': 0, 'ephemeral_5m_input_tokens': 0, 'ephemeral_1h_input_tokens': 0}, 'output_token_details': {'reasoning': 119}}), ToolMessage(content='Successfully transferred to editor', name='transfer_to_editor', tool_call_id='toolu_01VBrWdWEWYgit4kNYehBMU5')], 'active_agent': 'editor'}, goto='editor'))Traceback (most recent call last):\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 707, in invoke\n input = context.run(step.invoke, input, config, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 3913, in invoke\n for chunk in self.stream(\n ~~~~~~~~~~~^\n input,\n ^^^^^^\n ...<11 lines>...\n **kwargs,\n ^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/main.py\", line 2967, in stream\n for _ in runner.tick(\n ~~~~~~~~~~~^\n [t for t in loop.tasks.values() if not t.writes],\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ...<2 lines>...\n schedule_task=loop.accept_push,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n ):\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_runner.py\", line 207, in tick\n run_with_retry(\n ~~~~~~~~~~~~~~^\n t,\n ^^\n ...<10 lines>...\n },\n ^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_retry.py\", line 617, in run_with_retry\n return task.proc.invoke(task.input, config)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 709, in invoke\n input = step.invoke(input, config)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/_internal/_runnable.py\", line 447, in invoke\n ret = self.func(*args, **kwargs)\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 84, in _write\n self.do_write(\n ~~~~~~~~~~~~~^\n config,\n ^^^^^^^\n writes,\n ^^^^^^^\n )\n ^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 126, in do_write\n write(_assemble_writes(writes))\n ~~~~~~~~~~~~~~~~^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/pregel/_write.py\", line 181, in _assemble_writes\n if ww := w.mapper(w.value):\n ~~~~~~~~^^^^^^^^^\n\n\n File \"/workspace/deeplite/.venv/lib/python3.13/site-packages/langgraph/graph/state.py\", line 1762, in _control_branch\n raise ParentCommand(command)\n\n\nlanggraph.errors.ParentCommand: Command(graph='red_team:15ccef64-4162-9e02-e87c-4cb0eb6ea16b', update={'messages': [HumanMessage(content='For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\\\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n>>> t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n>>> v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\\\n\\\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\\\n...\\\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\\\u2014 dict). Dictionaries are sometimes found in other languages as \\\\u201cassociative memories\\\\u201d or \\\\u201cassociative arrays\\\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\\\n...\\\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\\\n...\\\\n### 3.2.5. Sequences\\\\u00b6\\\\n...\\\\n#### 3.2.5.1. Immutable sequences\\\\u00b6\\\\n\\\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\\\n\\\\nThe following types are immutable sequences:\\\\n...\\\\nTuples\\\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\\\u2018singleton\\\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\\\n...\\\\n#### 3.2.5.2. Mutable sequences\\\\u00b6\\\\n\\\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\\\n...\\\\nThere are currently two intrinsic mutable sequence types:\\\\n\\\\nLists\\\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\nmutable sequence types is\\\\n...\\\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\ntuple(iterable=\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\\\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\\\u2019t return a ... , never return the collection instance itself but `None`.\\\\n...\\\\n## Sequence Types \\\\u2014 `list`, `tuple`, `range`\\\\u00b6\\\\n\\\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\\\n...\\\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\\\n...\\\\n### Immutable Sequence Types\\\\u00b6\\\\n...\\\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\\\n...\\\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\\\n...\\\\n### Mutable Sequence Types\\\\u00b6\\\\n...\\\\n### Lists\\\\u00b6\\\\n\\\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\\\n...\\\\n### Tuples\\\\u00b6\\\\n\\\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\\\n...\\\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple(\\'abc\\')` returns `(\\'a\\', \\'b\\', \\'c\\')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\\\n...\\\\nTuples implement all of the common sequence operations.\\\\n...\\\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\\\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\\\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\\\n...\\\\n## 5.3. Tuples and Sequences\\\\u00b6\\\\n\\\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\\\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\\\n\\\\nA tuple consists of a number of values separated by commas, for instance:\\\\n...\\\\n>>> # Tuples are immutable:\\\\n... t[0] = 88888\\\\nTraceback (most recent call last):\\\\n File \\\\\"\\\\\", line 1, in \\\\nTypeError: \\'tuple\\' object does not support item assignment\\\\n>>> # but they can contain mutable objects:\\\\n... v = ([1, 2, 3], [3, 2, 1])\\\\n>>> v\\\\n([1, 2, 3], [3, 2, 1])\\\\n...\\\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). 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Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and `extend()`.\"]}]', name='web_search', id='6e5125ac-3164-4a76-9c52-ac3460ce36e4', tool_call_id='toolu_01B2LfHGDjYSFJhmiXNj4CuQ'), AIMessage(content=[{'id': 'toolu_01Xjj3aRdWyhBJfPmTJBxQa9', 'caller': {'type': 'direct'}, 'input': {}, 'name': 'transfer_to_skeptic', 'type': 'tool_use', 'toolset_name': None}], additional_kwargs={}, response_metadata={'id': 'msg_011CfdwA6F4cCN5yhD4Crs9M', 'container': None, 'diagnostics': None, 'model': 'claude-sonnet', 'stop_details': None, 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'cache_creation': {'ephemeral_1h_input_tokens': 0, 'ephemeral_5m_input_tokens': 0}, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 0, 'inference_geo': 'global', 'input_tokens': 7378, 'output_tokens': 33, 'output_tokens_details': {'thinking_tokens': 0}, 'server_tool_use': None, 'service_tier': 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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- } - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "b2952a96b863250c304cef3376fe4c82", - "spanId": "e90628af060558bc", - "parentSpanId": "4bd8ddfd6bc728ed", - "name": "ChatAnthropic", - "kind": 1, - "startTimeUnixNano": "1790968035049609984", - "endTimeUnixNano": "1790968039090351104", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chat" - } - }, - { - "key": "gen_ai.serialized.name", - "value": { - "stringValue": "ChatAnthropic" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "llm" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "ChatAnthropic" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "anthropic" - } - }, - { - "key": "gen_ai.request.model", - "value": { - "stringValue": "claude-sonnet" - } - }, - { - "key": "gen_ai.tool.definitions", - "value": { - "stringValue": "[{\"name\":\"ls\",\"input_schema\":{\"properties\":{\"path\":{\"description\":\"Absolute path to the directory to list. Must be absolute, not relative.\",\"type\":\"string\"}},\"required\":[\"path\"],\"type\":\"object\"},\"description\":\"Lists all files in a directory.\\n\\nThis is useful for exploring the filesystem and finding the right file to read or edit.\\nYou should almost ALWAYS use this tool before using the read_file or edit_file tools.\"},{\"name\":\"read_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path to the file to read. Must be absolute, not relative.\",\"type\":\"string\"},\"offset\":{\"default\":0,\"description\":\"Line number to start reading from (0-indexed). Use for pagination of large files.\",\"type\":\"integer\"},\"limit\":{\"default\":100,\"description\":\"Maximum number of lines to read. Use for pagination of large files.\",\"type\":\"integer\"}},\"required\":[\"file_path\"],\"type\":\"object\"},\"description\":\"Reads a file from the filesystem. Assume any path the user provides is valid; reading a missing file returns an error.\\n\\nUsage:\\n- By default, it reads up to 100 lines starting from the beginning of the file. Use `offset`/`limit` to page through large files instead of reading them whole.\\n- A status header, `@@ field | field | ... @@`, sits above the file content, and every line after it is verbatim file content. When content is truncated, there may be an explanation before the header. Never include the header when editing.\\n- Speculatively batch multiple `read_file` calls in one response when several files may be useful.\\n- An empty file returns a system-reminder warning in place of contents.\\n- Large tool results may be offloaded to a file; the tool message gives the path. Read that path here, paging with `offset`/`limit`.\\n- Images (`.png`, `.jpg`, etc.), audio, video, and PDFs return multimodal content blocks (https://docs.langchain.com/oss/python/langchain/messages#multimodal).\\n- For images and PDFs, pagination via `offset`/`limit` is text-only - supply `file_path` only\\n- Always read a file before editing it.\"},{\"name\":\"write_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path where the file should be written. Must be absolute, not relative.\",\"type\":\"string\"},\"content\":{\"description\":\"The text content to write to the file. This parameter is required.\",\"type\":\"string\"}},\"required\":[\"file_path\",\"content\"],\"type\":\"object\"},\"description\":\"Writes content to a file. Creates the file if it does not exist; replaces it entirely if it does.\\n\\nUsage:\\n- Use this tool when you intend to create a new file or replace the whole file. You do not need to read the file first.\\n- Prefer to edit existing files (with the edit_file tool) over creating new ones when possible.\"},{\"name\":\"edit_file\",\"input_schema\":{\"properties\":{\"file_path\":{\"description\":\"Absolute path to the file to edit. Must be absolute, not relative.\",\"type\":\"string\"},\"old_string\":{\"description\":\"The exact text to find and replace. Must be unique in the file unless replace_all is True.\",\"type\":\"string\"},\"new_string\":{\"description\":\"The text to replace old_string with. Must be different from old_string.\",\"type\":\"string\"},\"replace_all\":{\"default\":false,\"description\":\"If True, replace all occurrences of old_string. If False (default), old_string must be unique.\",\"type\":\"boolean\"}},\"required\":[\"file_path\",\"old_string\",\"new_string\"],\"type\":\"object\"},\"description\":\"Performs exact string replacements in files.\\n\\nUsage:\\n- You must read the file before editing; this tool errors otherwise.\\n- Preserve the exact source indentation from the read output, and never include the read status header in old_string or new_string.\\n- Prefer editing an existing file over creating a new one.\\n- Only use emojis if the user explicitly requests it.\"},{\"name\":\"glob\",\"input_schema\":{\"properties\":{\"pattern\":{\"description\":\"Glob pattern to match files (e.g., '*.py', '**/*.py', '/subdir/**/*.md'). A pattern without '/' matches the file name at any depth; a pattern containing '/' matches the search-root-relative path; a leading '/' anchors to the search root ('/*.py' matches only top-level files). Leading-dot names are excluded unless the pattern segment starts with '.', so prefer the bare form '*.py' over '**/*.py' -- '**' will not descend into dot-directories like '.github'.\",\"type\":\"string\"},\"path\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Base directory to search from. Defaults to the backend's default root.\"}},\"required\":[\"pattern\"],\"type\":\"object\"},\"description\":\"Find files matching a glob pattern, returning absolute paths.\\n\\nSupports `*` (any characters within a path segment), `**` (any directories), `?` (single character), `[abc]` (one character from a set), and `{a,b}` (alternatives), e.g. `*.py`, `src/**/*.py`, `*.{yml,yaml}`.\\n\\nA pattern without `/` matches the file name at any depth under the search root (`*.py` matches `src/app/main.py`). A pattern containing `/` matches the search-root-relative path (`src/**/*.py`). A leading `/` anchors to the search root (`/*.py` matches only top-level Python files).\\n\\nLeading-dot names are only matched when the pattern segment itself starts with `.` (use `.env`, or `.github/**/*.yml`). Because `**` will not descend into dot-directories, the bare form `*.yml` is *broader* than `**/*.yml` and is usually what you want.\"},{\"name\":\"grep\",\"input_schema\":{\"properties\":{\"pattern\":{\"description\":\"Text pattern to search for (literal string, not regex).\",\"type\":\"string\"},\"path\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Directory to search in. Defaults to current working directory.\"},\"glob\":{\"anyOf\":[{\"type\":\"string\"},{\"type\":\"null\"}],\"default\":null,\"description\":\"Glob pattern (NOT regex) limiting which files are searched (e.g. '*.py', '*.ts'). 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"name":"write_file","type":"tool_use","toolset_name":null}],"additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBBaa9gjMCce16TUen","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"tool_use","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8127,"output_tokens":433,"output_tokens_details":{"thinking_tokens":79},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-76e9-7ca3-a5ff-63de66dd8dd1-0","tool_calls":[{"name":"write_file","args":{"file_path":"/answer.md","content":"**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","type":"tool_call"}],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":8127,"output_tokens":433,"total_tokens":8560,"input_token_details":{"cache_read":0,"cache_creation":0,"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_token_details":{"reasoning":79}}},{"content":"Updated file /answer.md","additional_kwargs":{},"response_metadata":{},"type":"tool","name":"write_file","id":"e3492e08-c869-47ec-a5f7-cc57ea5f6403","tool_call_id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","status":"success"},{"content":"I wrote the answer to `/answer.md`. It is about 100 words, under the 120-word limit.\n\nI did not get a skeptic or verifier check. I handed off to both, but neither returned any feedback. I also tried to hand off to a `red_team` agent, and that transfer isn't one of the tools I was given. I then wrote the answer myself from the official Python documentation search results. I didn't open the pages directly.\n\n**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html","additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBUsNhr19gQNVcFsUe","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"end_turn","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8494,"output_tokens":415,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-86bb-7661-a59f-a39d6b4e6b74-0","tool_calls":[],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":8494,"output_tokens":415,"total_tokens":8909,"input_token_details":{"cache_read":0,"cache_creation":0,"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_token_details":{"reasoning":0}}}],"active_agent":"editor"}" - } - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "b2952a96b863250c304cef3376fe4c82", - "spanId": "41a84418436b8795", - "parentSpanId": "04ffc0db9ce0f358", - "name": "editor", - "kind": 1, - "startTimeUnixNano": "1790968035042877952", - "endTimeUnixNano": "1790968042918639872", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "editor" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langgraph" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "5" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "editor" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:editor\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"editor\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "editor:42b8f95e-d208-6d0d-c59e-cc043f552134" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "graph:step:5" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "{"messages":[{"content":"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"name":"write_file","type":"tool_use","toolset_name":null}],"additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBBaa9gjMCce16TUen","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"tool_use","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8127,"output_tokens":433,"output_tokens_details":{"thinking_tokens":79},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-76e9-7ca3-a5ff-63de66dd8dd1-0","tool_calls":[{"name":"write_file","args":{"file_path":"/answer.md","content":"**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","type":"tool_call"}],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":8127,"output_tokens":433,"total_tokens":8560,"input_token_details":{"cache_read":0,"cache_creation":0,"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_token_details":{"reasoning":79}}},{"content":"Updated file /answer.md","additional_kwargs":{},"response_metadata":{},"type":"tool","name":"write_file","id":"e3492e08-c869-47ec-a5f7-cc57ea5f6403","tool_call_id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","status":"success"},{"content":"I wrote the answer to `/answer.md`. It is about 100 words, under the 120-word limit.\n\nI did not get a skeptic or verifier check. I handed off to both, but neither returned any feedback. I also tried to hand off to a `red_team` agent, and that transfer isn't one of the tools I was given. I then wrote the answer myself from the official Python documentation search results. I didn't open the pages directly.\n\n**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html","additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBUsNhr19gQNVcFsUe","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"end_turn","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8494,"output_tokens":415,"output_tokens_details":{"thinking_tokens":0},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-86bb-7661-a59f-a39d6b4e6b74-0","tool_calls":[],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":8494,"output_tokens":415,"total_tokens":8909,"input_token_details":{"cache_read":0,"cache_creation":0,"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_token_details":{"reasoning":0}}}]}" - } - } - ], - "status": { - "code": 1 - }, - "flags": 256 - }, - { - "traceId": "b2952a96b863250c304cef3376fe4c82", - "spanId": "4809a44f637a7046", - "parentSpanId": "41a84418436b8795", - "name": "editor", - "kind": 1, - "startTimeUnixNano": "1790968035043306240", - "endTimeUnixNano": "1790968042918324992", - "attributes": [ - { - "key": "gen_ai.operation.name", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.span.kind", - "value": { - "stringValue": "chain" - } - }, - { - "key": "langsmith.trace.name", - "value": { - "stringValue": "editor" - } - }, - { - "key": "langsmith.trace.session_name", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "gen_ai.system", - "value": { - "stringValue": "langchain" - } - }, - { - "key": "langsmith.metadata.ls_integration", - "value": { - "stringValue": "langchain_create_agent" - } - }, - { - "key": "langsmith.metadata.langgraph_step", - "value": { - "intValue": "5" - } - }, - { - "key": "langsmith.metadata.langgraph_node", - "value": { - "stringValue": "editor" - } - }, - { - "key": "langsmith.metadata.langgraph_triggers", - "value": { - "stringValue": "[\"branch:to:editor\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_path", - "value": { - "stringValue": "[\"__pregel_pull\",\"editor\"]" - } - }, - { - "key": "langsmith.metadata.langgraph_checkpoint_ns", - "value": { - "stringValue": "editor:42b8f95e-d208-6d0d-c59e-cc043f552134" - } - }, - { - "key": "langsmith.metadata.lc_agent_name", - "value": { - "stringValue": "editor" - } - }, - { - "key": "langsmith.metadata.checkpoint_ns", - "value": { - "stringValue": "editor:42b8f95e-d208-6d0d-c59e-cc043f552134" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_OTLP_TRACES_ENDPOINT", - "value": { - "stringValue": "http://127.0.0.1:58108/langsmith/v1/traces" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_PROJECT", - "value": { - "stringValue": "litellm-fixture" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING", - "value": { - "stringValue": "true" - } - }, - { - "key": "langsmith.metadata.LANGSMITH_TRACING_MODE", - "value": { - "stringValue": "otel" - } - }, - { - "key": "langsmith.metadata.revision_id", - "value": { - "stringValue": "abd4db9" - } - }, - { - "key": "langsmith.span.tags", - "value": { - "stringValue": "seq:step:1" - } - }, - { - "key": "gen_ai.prompt", - "value": { - "bytesValue": "{"messages":[{"content":"For a synthetic tracing fixture, explain Python tuple versus list immutability in at most 120 words. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"name":"write_file","type":"tool_use","toolset_name":null}],"additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBBaa9gjMCce16TUen","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"tool_use","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8127,"output_tokens":433,"output_tokens_details":{"thinking_tokens":79},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-76e9-7ca3-a5ff-63de66dd8dd1-0","tool_calls":[{"name":"write_file","args":{"file_path":"/answer.md","content":"**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","type":"tool_call"}],"invalid_tool_calls":[],"usage_metadata":{"input_tokens":8127,"output_tokens":433,"total_tokens":8560,"input_token_details":{"cache_read":0,"cache_creation":0,"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_token_details":{"reasoning":79}}},{"content":"Updated file /answer.md","additional_kwargs":{},"response_metadata":{},"type":"tool","name":"write_file","id":"e3492e08-c869-47ec-a5f7-cc57ea5f6403","tool_call_id":"toolu_01Bm8AU9EsQUwqoVLYpxKA77","status":"success"},{"content":"I wrote the answer to `/answer.md`. It is about 100 words, under the 120-word limit.\n\nI did not get a skeptic or verifier check. I handed off to both, but neither returned any feedback. I also tried to hand off to a `red_team` agent, and that transfer isn't one of the tools I was given. I then wrote the answer myself from the official Python documentation search results. I didn't open the pages directly.\n\n**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. 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Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n>>> t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n>>> v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like `append()` and 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A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"name":"write_file","type":"tool_use","toolset_name":null}],"additional_kwargs":{},"response_metadata":{"id":"msg_011CfdwBBaa9gjMCce16TUen","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"tool_use","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8127,"output_tokens":433,"output_tokens_details":{"thinking_tokens":79},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-76e9-7ca3-a5ff-63de66dd8dd1-0","tool_calls":[{"name":"write_file","args":{"file_path":"/answer.md","content":"**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. 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Data Structures \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like`insert`,`remove` or`sort` that only modify the list have no return value printed \\u2013 they return the default`None`. [1] This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. 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Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of namedtuples). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. You can\\u2019t use lists as keys, since lists can be modified in place using index assignments, slice assignments, or methods like append() and extend().\"]}, {\"title\": \"3. Data model \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/reference/datamodel.html\", \"highlights\": [\"The value of some objects can change. Objects whose value can change are said to be mutable; objects whose value is unchangeable once they are created are called immutable. (The value of an immutable container object that contains a reference to a mutable object can change when the latter\\u2019s value is changed; however the container is still considered immutable, because the collection of objects it contains cannot be changed. So, immutability is not strictly the same as having an unchangeable value, it is more subtle.) An object\\u2019s mutability is determined by its type; for instance, numbers, strings and tuples are immutable, while dictionaries and lists are mutable.\\n...\\nSome objects contain references to other objects; these are called containers. Examples of containers are tuples, lists and dictionaries. The references are part of a container\\u2019s value. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. So, if an immutable container (like a tuple) contains a reference to a mutable object, its value changes if that mutable object is changed.\\n...\\n### 3.2.5. Sequences\\u00b6\\n...\\n#### 3.2.5.1. Immutable sequences\\u00b6\\n\\nAn object of an immutable sequence type cannot change once it is created. (If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change.)\\n\\nThe following types are immutable sequences:\\n...\\nTuples\\n: The items of a `tuple` are arbitrary Python objects. Tuples of two or more items are formed by comma-separated lists of expressions. A tuple of one item (a \\u2018singleton\\u2019) can be formed by affixing a comma to an expression (an expression by itself does not create a tuple, since parentheses must be usable for grouping of expressions). An empty tuple can be formed by an empty pair of parentheses.\\n...\\n#### 3.2.5.2. Mutable sequences\\u00b6\\n\\nMutable sequences can be changed after they are created. The subscription and slicing notations can be used as the target of assignment and `del` (delete) statements.\\n...\\nThere are currently two intrinsic mutable sequence types:\\n\\nLists\\n: The items of a list are arbitrary Python objects. Lists are formed by placing a comma-separated list of expressions in square brackets. (Note that there are no special cases needed to form lists of length 0 or 1.)\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.7 documentation\", \"url\": \"https://docs.python.org/3/builtins/stdtypes.html\", \"highlights\": [\"collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and range objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... mutable and immutable. The `collections. ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\nmutable sequence types is\\n...\\nsupport allows immutable sequences, ... , to be used as `dict` keys and stored in ... enset` instances\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\ntuple(iterable=\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"Built-in Types \\u2014 Python 3.14.5 documentation\", \"url\": \"https://docs.python.org/3/library/stdtypes.html\", \"highlights\": [\"Some collection classes are mutable. The methods that add, subtract, or rearrange their ... in place, and don\\u2019t return a ... , never return the collection instance itself but `None`.\\n...\\n## Sequence Types \\u2014 `list`, `tuple`, `range`\\u00b6\\n\\nThere are three basic sequence types: lists, tuples, and ... objects. Additional sequence types tailored for processing of binary data and text strings are described in dedicated sections.\\n...\\nThe operations in the following table ... immutable. The ` ... is provided to make ... easier to correctly implement these operations on custom sequence types\\n...\\n### Immutable Sequence Types\\u00b6\\n...\\noperation that immutable sequence ... by mutable sequence types is ... `hash()`\\n...\\nThis support allows immutable sequences, such as `tuple` instances, to be used as `dict` keys and stored in `set` and `frozenset` instances.\\n...\\n### Mutable Sequence Types\\u00b6\\n...\\n### Lists\\u00b6\\n\\nLists are mutable sequences, typically used to store collections of homogeneous items (where the precise degree of similarity will vary by application).\\n...\\n### Tuples\\u00b6\\n\\nTuples are immutable sequences, typically used to store collections of heterogeneous data (such as the 2-tuples produced by the `enumerate()` built-in). Tuples are also used for cases where an immutable sequence of homogeneous data is needed (such as allowing storage in a `set` or `dict` instance).\\n...\\nThe constructor builds a tuple whose items are the same and in the same order as iterable\\u2019s items. iterable may be either a sequence, a container that supports iteration, or an iterator object. If iterable is already a tuple, it is returned unchanged. For example, `tuple('abc')` returns `('a', 'b', 'c')` and `tuple( [1, 2, 3] )` returns `(1, 2, 3)`. If no argument is given, the constructor creates a new empty tuple, `()`.\\n...\\nTuples implement all of the common sequence operations.\\n...\\nFor heterogeneous collections of data where access by name is clearer than access by index, `collections.namedtuple()` may be a more appropriate choice than a simple tuple object.\"]}, {\"title\": \"5. Data Structures \\u2014 Python 3.10.20 documentation\", \"url\": \"https://docs.python.org/3.10/tutorial/datastructures.html\", \"highlights\": [\"You might have noticed that methods like `insert`, `remove` or `sort` that only modify the list have no return value printed \\u2013 they return the default `None`. 1 This is a design principle for all mutable data structures in Python.\\n...\\n## 5.3. Tuples and Sequences\\u00b6\\n\\nWe saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types \\u2014 list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.\\n\\nA tuple consists of a number of values separated by commas, for instance:\\n...\\n>>> # Tuples are immutable:\\n... t[0] = 88888\\nTraceback (most recent call last):\\n  File \\\"<stdin>\\\", line 1, in <module>\\nTypeError: 'tuple' object does not support item assignment\\n>>> # but they can contain mutable objects:\\n... v = ([1, 2, 3], [3, 2, 1])\\n>>> v\\n([1, 2, 3], [3, 2, 1])\\n...\\nAs you see, on output tuples are always enclosed in parentheses, so that nested tuples are interpreted correctly; they may be input with or without surrounding parentheses, although often parentheses are necessary anyway (if the tuple is part of a larger expression). It is not possible to assign to the individual items of a tuple, however it is possible to create tuples which contain mutable objects, such as lists.\\n\\nThough tuples may seem similar to lists, they are often used in different situations and for different purposes. Tuples are immutable, and usually contain a heterogeneous sequence of elements that are accessed via unpacking (see later in this section) or indexing (or even by attribute in the case of `namedtuples`). Lists are mutable, and their elements are usually homogeneous and are accessed by iterating over the list.\\n...\\n## 5.4.\\n...\\n. Set objects\\n...\\n## 5.5. Dictionaries\\u00b6\\n\\nAnother useful data type built into Python is the dictionary (see Mapping Types \\u2014 dict). Dictionaries are sometimes found in other languages as \\u201cassociative memories\\u201d or \\u201cassociative arrays\\u201d. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys. Tuples can be used as keys if they contain only strings, numbers, or tuples; if a tuple contains any mutable object either directly or indirectly, it cannot be used as a key. 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A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html\n"},"name":"write_file","type":"tool_use","toolset_name":null}],"response_metadata":{"id":"msg_011CfdwBBaa9gjMCce16TUen","container":null,"diagnostics":null,"model":"claude-sonnet","stop_details":null,"stop_reason":"tool_use","stop_sequence":null,"usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":8127,"output_tokens":433,"output_tokens_details":{"thinking_tokens":79},"server_tool_use":null,"service_tier":"standard"},"model_name":"claude-sonnet","model_provider":"anthropic"},"type":"ai","name":"editor","id":"lc_run--01a0fe03-76e9-7ca3-a5ff-63de66dd8dd1-0","tool_calls":[{"name":"write_file","args":{"file_path":"/answer.md","content":"**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. 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Use only official Python documentation if you search. Have the skeptic and verifier check it, then have the editor write /answer.md. Keep the run short and do not ask follow-up questions." - } - }, - { - "key": "output.value", - "value": { - "stringValue": "I wrote the answer to `/answer.md`. It is about 100 words, under the 120-word limit.\n\nI did not get a skeptic or verifier check. I handed off to both, but neither returned any feedback. I also tried to hand off to a `red_team` agent, and that transfer isn't one of the tools I was given. I then wrote the answer myself from the official Python documentation search results. I didn't open the pages directly.\n\n**Tuple vs. list immutability (Python)**\n\nA tuple is immutable: once created, you can't assign to its items, and the collection of objects it references can't change. `t[0] = 1` raises `TypeError`. A list is mutable: you can change it in place with index or slice assignment, `append()`, `extend()`, `sort()` and similar methods.\n\nTuple immutability is shallow. If a tuple holds a mutable object, such as a list, that inner object can still change, and so the tuple's value changes. Because of this, a tuple can be a `dict` key or `set` member only if everything inside it is hashable. A list can never be a key.\n\nSources:\n- https://docs.python.org/3/tutorial/datastructures.html\n- https://docs.python.org/3/reference/datamodel.html\n- https://docs.python.org/3/library/stdtypes.html" - } - } - ], - "status": {}, - "flags": 256 - } - ] - } - ] - } - ] -} diff --git a/litellm-rust/crates/traces/tests/normalize.rs b/litellm-rust/crates/traces/tests/normalize.rs index 244b814cdd6..ccc0c3bb224 100644 --- a/litellm-rust/crates/traces/tests/normalize.rs +++ b/litellm-rust/crates/traces/tests/normalize.rs @@ -120,8 +120,6 @@ fn array<'a>(value: &'a Value, key: &str) -> &'a [Value] { #[case::crewai_swarm(include_bytes!("fixtures/crewai_swarm.json"))] #[case::deepagents_simple(include_bytes!("fixtures/deepagents_simple.json"))] #[case::deepagents_swarm(include_bytes!("fixtures/deepagents_swarm.json"))] -#[case::deeplite_auth_error(include_bytes!("fixtures/deeplite_auth_error.json"))] -#[case::deeplite_swarm(include_bytes!("fixtures/deeplite_swarm.json"))] #[case::google_adk_simple(include_bytes!("fixtures/google_adk_simple.json"))] #[case::google_adk_swarm(include_bytes!("fixtures/google_adk_swarm.json"))] #[case::langchain_simple(include_bytes!("fixtures/langchain_simple.json"))] diff --git a/litellm-rust/crates/traces/tests/otlp.rs b/litellm-rust/crates/traces/tests/otlp.rs index 1a38bd15ffd..eb17bdc374b 100644 --- a/litellm-rust/crates/traces/tests/otlp.rs +++ b/litellm-rust/crates/traces/tests/otlp.rs @@ -1333,3 +1333,98 @@ fn resource_identity_preserves_explicit_names_and_sdk_fallbacks( expected ); } + +#[rstest] +#[case::depth(litellm_traces::DecodeLimits { depth: 1, ..Default::default() })] +#[case::nodes(litellm_traces::DecodeLimits { nodes: 1, ..Default::default() })] +#[case::spans(litellm_traces::DecodeLimits { spans: 1, ..Default::default() })] +#[case::attributes(litellm_traces::DecodeLimits { attributes: 1, ..Default::default() })] +#[case::events(litellm_traces::DecodeLimits { events: 1, ..Default::default() })] +#[case::links(litellm_traces::DecodeLimits { links: 1, ..Default::default() })] +#[case::decoded_bytes(litellm_traces::DecodeLimits { decoded_span_bytes: 1, ..Default::default() })] +fn configurable_decode_limits_apply_to_both_wire_formats( + mut span: Span, + #[case] limits: litellm_traces::DecodeLimits, +) { + use opentelemetry_proto::tonic::{ + common::v1::KeyValue, + trace::v1::span::{Event, Link}, + }; + use prost::Message; + span.attributes = vec![ + KeyValue { + key: "a".into(), + ..Default::default() + }, + KeyValue { + key: "b".into(), + ..Default::default() + }, + ]; + span.events = vec![Event::default(), Event::default()]; + span.links = vec![ + Link { + trace_id: vec![1; 16], + span_id: vec![2; 8], + ..Default::default() + }; + 2 + ]; + let mut request = request_with(span.clone()); + request.resource_spans[0].scope_spans[0].spans.push(span); + for (body, content_type) in [ + (serde_json::to_vec(&request).unwrap(), "application/json"), + (request.encode_to_vec(), "application/x-protobuf"), + ] { + assert!(matches!( + litellm_traces::decode_otlp_with_limits(&body, Some(content_type), limits), + Err(litellm_traces::Error::TooLarge) + )); + assert_eq!( + litellm_traces::decode_otlp_with_limits( + &body, + Some(content_type), + litellm_traces::DecodeLimits::default() + ) + .unwrap() + .len(), + 2 + ); + } +} + +#[test] +fn environment_decode_limits_are_used_and_invalid_values_fail() { + for value in ["2", "4", "0", "invalid"] { + let result = std::process::Command::new(std::env::current_exe().unwrap()) + .args(["--exact", "environment_decode_limits_child"]) + .env("LITELLM_TEST_DECODE_LIMIT", value) + .env("OTLP_MAX_SPANS", value) + .output() + .unwrap(); + assert!( + result.status.success(), + "{}", + String::from_utf8_lossy(&result.stdout) + ); + } +} + +#[test] +fn environment_decode_limits_child() { + let Ok(value) = std::env::var("LITELLM_TEST_DECODE_LIMIT") else { + return; + }; + let result = decode_otlp( + include_bytes!("fixtures/opentelemetry_simple.json"), + Some("application/json"), + ); + match value.as_str() { + "2" => assert!(matches!(result, Err(litellm_traces::Error::TooLarge))), + "4" => assert_eq!(result.unwrap().len(), 3), + _ => assert!(matches!( + result, + Err(litellm_traces::Error::InvalidLimit("OTLP_MAX_SPANS")) + )), + } +} diff --git a/scripts/lens_dev.sh b/scripts/lens_dev.sh index 46408fdaf19..d8918f02fc5 100755 --- a/scripts/lens_dev.sh +++ b/scripts/lens_dev.sh @@ -25,6 +25,8 @@ py="${LENS_DEV_PYTHON:-$repo_root/.venv/bin/python}" database_url="${LENS_DEV_DATABASE_URL:-postgresql://litellm:litellm@127.0.0.1:15432/litellm}" clickhouse_url=http://default:local-tracing@127.0.0.1:18123 master_key="" +startup_timeout="${LENS_DEV_STARTUP_TIMEOUT_SECONDS:-300}" +readiness_request_timeout="${LENS_DEV_READINESS_REQUEST_TIMEOUT_SECONDS:-5}" pids=() die() { echo "lens-dev: $*" >&2; exit 1; } @@ -121,6 +123,7 @@ proxy_env() { export CLICKHOUSE_DATABASE=litellm export LITELLM_LOCAL_MODEL_COST_MAP=True export PROXY_BASE_URL="$proxy_url" + export LITELLM_UI_PATH="$repo_root/ui/litellm-dashboard/out" export UI_USERNAME=admin export UI_PASSWORD="$master_key" } @@ -161,12 +164,26 @@ ensure_worker_token() { wait_for_proxy() { local proxy_pid="$1" echo "lens-dev: waiting for the proxy (log: $log_dir/proxy.log)" - for _ in $(seq 1 300); do + for _ in $(seq 1 "$startup_timeout"); do kill -0 "$proxy_pid" 2>/dev/null || die "proxy exited; see $log_dir/proxy.log" - curl -fsS "$proxy_url/health/readiness" -H "Authorization: Bearer $master_key" >/dev/null 2>&1 && return + curl -fsS --max-time "$readiness_request_timeout" "$proxy_url/health/readiness" -H "Authorization: Bearer $master_key" >/dev/null 2>&1 && return sleep 1 done - die "proxy not ready after 300s; see $log_dir/proxy.log" + die "proxy not ready after ${startup_timeout}s; see $log_dir/proxy.log" +} + +wait_for_ui() { + local ui_pid="$1" + echo "lens-dev: waiting for the UI (log: $log_dir/ui.log)" + for _ in $(seq 1 "$startup_timeout"); do + kill -0 "$ui_pid" 2>/dev/null || die "UI exited; see $log_dir/ui.log" + if curl -fsS --max-time "$readiness_request_timeout" "http://localhost:$ui_port/ui/login/" >/dev/null 2>&1; then + kill -0 "$ui_pid" 2>/dev/null || die "UI exited; see $log_dir/ui.log" + return + fi + sleep 1 + done + die "UI not ready after ${startup_timeout}s; see $log_dir/ui.log" } # Children run in their own process groups (set -m), so killing -pid takes their trees too. @@ -185,14 +202,71 @@ cleanup() { for pid in "${pids[@]}"; do kill -KILL -- "-$pid" 2>/dev/null || true; done } +build_dashboard() { + local dashboard_dir="$repo_root/ui/litellm-dashboard" + case "${LENS_DEV_BUILD_UI:-0}" in + 0) return ;; + 1) ;; + *) die "LENS_DEV_BUILD_UI must be 0 or 1" ;; + esac + echo "lens-dev: building the proxy dashboard (log: $log_dir/ui-build.log)" + ( + cd "$dashboard_dir" + NEXT_PUBLIC_BASE_URL="" LENS_DEV_PROXY_URL="" "$repo_root/scripts/with_dashboard_node.sh" npm run build + ) > "$log_dir/ui-build.log" 2>&1 || die "UI build failed; see $log_dir/ui-build.log" +} + +seed_data() { + ( + proxy_env "" + "$py" -m scripts.seed_tracing_fixtures --profile "$seed_profile" ${seed_options[@]+"${seed_options[@]}"} + ) +} + +parse_args() { + seed_profile="${LENS_DEV_SEED:-}" + seed_only=0 + seed_options=() + while [ "$#" -gt 0 ]; do + case "$1" in + --seed) + seed_profile=default + if [ "${2:-}" = default ] || [ "${2:-}" = large ]; then seed_profile="$2"; shift; fi + ;; + --copies) + [ "$#" -ge 2 ] && [[ "$2" =~ ^[1-9][0-9]*$ ]] || die "--copies requires a positive integer" + seed_options=(--copies "$2"); shift ;; + --seed-only) seed_only=1 ;; + --help) + echo "Usage: $0 [--seed [default|large]] [--copies N] [--seed-only]" + exit 0 ;; + *) die "unknown argument: $1 (use --help)" ;; + esac + shift + done + if [ "$seed_only" = 1 ] && [ -z "$seed_profile" ]; then seed_profile=default; fi + case "$seed_profile" in ""|default|large) ;; *) die "seed profile must be default or large" ;; esac + [ "${#seed_options[@]}" = 0 ] || [ -n "$seed_profile" ] || die "--copies requires --seed" +} + main() { - local config_file exports proxy_pid pid key_hint + local config_file exports proxy_pid ui_pid pid key_hint + parse_args "$@" if [ -n "${LENS_DEV_CONFIG:-}" ]; then [ -f "$LENS_DEV_CONFIG" ] || die "LENS_DEV_CONFIG not found: $LENS_DEV_CONFIG" config_file="$(cd "$(dirname "$LENS_DEV_CONFIG")" && pwd)/$(basename "$LENS_DEV_CONFIG")" fi cd "$repo_root" + if [ "$seed_only" = 1 ]; then + [ -s "$key_file" ] || [ -n "${LENS_DEV_MASTER_KEY:-}" ] || die "start make lens-dev before --seed-only" + load_master_key + seed_data + return + fi + + [[ "$startup_timeout" =~ ^[1-9][0-9]*$ ]] || die "LENS_DEV_STARTUP_TIMEOUT_SECONDS must be a positive integer" + [[ "$readiness_request_timeout" =~ ^[1-9][0-9]*$ ]] || die "LENS_DEV_READINESS_REQUEST_TIMEOUT_SECONDS must be a positive integer" listening "$proxy_port" && die "port $proxy_port is in use; set LENS_DEV_PROXY_PORT" listening "$ui_port" && die "port $ui_port is in use; set LENS_DEV_UI_PORT" [ "$proxy_port" != "$ui_port" ] || die "proxy and UI ports must differ" @@ -213,6 +287,8 @@ main() { (cd ui/litellm-dashboard && "$repo_root/scripts/with_dashboard_node.sh" npm ci) fi + build_dashboard + if [ -z "${config_file:-}" ]; then config_file="$state_dir/config.yaml" write_default_config "$config_file" @@ -225,6 +301,7 @@ main() { ( proxy_env "$exports" + export PROXY_BASE_URL="http://localhost:$ui_port" exec "$py" litellm/proxy/proxy_cli.py --config "$config_file" --host 127.0.0.1 --port "$proxy_port" ) < /dev/null > "$log_dir/proxy.log" 2>&1 & proxy_pid=$! @@ -232,12 +309,15 @@ main() { ( cd ui/litellm-dashboard - NEXT_PUBLIC_BASE_URL="$proxy_url" exec "$repo_root/scripts/with_dashboard_node.sh" npx next dev -p "$ui_port" + NEXT_PUBLIC_BASE_URL="" LENS_DEV_PROXY_URL="$proxy_url" exec "$repo_root/scripts/with_dashboard_node.sh" npx next dev -p "$ui_port" ) < /dev/null > "$log_dir/ui.log" 2>&1 & - pids+=("$!") + ui_pid=$! + pids+=("$ui_pid") + wait_for_ui "$ui_pid" wait_for_proxy "$proxy_pid" ensure_worker_token + if [ -n "$seed_profile" ]; then seed_data; fi LITELLM_RELEASE_TAG="$source_release_tag" \ LITELLM_MODE=PRODUCTION LITELLM_URL="$proxy_url" LENS_WORKER_TOKEN="$(cat "$token_file")" \ @@ -250,12 +330,13 @@ main() { cat <&2; exit 2 ;; -esac - -if lsof -nP -iTCP:4002 -sTCP:LISTEN >/dev/null 2>&1; then - echo "Port 4002 is already in use. Stop the existing proxy before starting this stack" >&2 - exit 1 -fi - -docker compose -f docker/docker-compose.tracing.yml up -d --wait db clickhouse -uv sync --inexact --frozen --extra proxy --group proxy-dev --no-install-project -"$repo_root/.venv/bin/python" scripts/prisma_generate_if_needed.py -VIRTUAL_ENV="$repo_root/.venv" uvx --from maturin==1.15.0 maturin develop \ - --release --manifest-path litellm-rust/crates/python-bridge/Cargo.toml --features extension-module - -config_file="$(mktemp "${TMPDIR:-/tmp}/litellm-tracing-local.XXXXXX")" -proxy_pid="" -cleanup() { - if [ -n "$proxy_pid" ]; then - kill "$proxy_pid" 2>/dev/null || true - wait "$proxy_pid" 2>/dev/null || true - fi - rm -f "$config_file" -} -trap cleanup EXIT -trap 'exit 130' INT TERM -cat > "$config_file" <<'EOF' -model_list: - - model_name: openai/gpt-6-luna - litellm_params: - model: openai/gpt-6-luna - api_key: os.environ/OPENAI_API_KEY -general_settings: - master_key: os.environ/LITELLM_MASTER_KEY - store_prompts_in_spend_logs: true - tracing: - store: - type: clickhouse - url: os.environ/CLICKHOUSE_URL - retention_days: 14 -EOF - -export LITELLM_MASTER_KEY=sk-1234 -export LITELLM_DANGEROUSLY_PERMIT_WEAK_OR_UNSET_MASTER_KEY=true -export LITELLM_SALT_KEY=sk-local-tracing-salt-key -export DATABASE_URL=postgresql://litellm:litellm@127.0.0.1:15432/litellm -export STORE_MODEL_IN_DB=True -export CLICKHOUSE_URL=http://default:local-tracing@127.0.0.1:18123 -export CLICKHOUSE_DATABASE=litellm -export LITELLM_LOCAL_MODEL_COST_MAP=True -export PROXY_BASE_URL=http://127.0.0.1:4002 - -( - cd "$repo_root/ui/litellm-dashboard" - "$repo_root/scripts/with_dashboard_node.sh" npm ci - NEXT_PUBLIC_BASE_URL= "$repo_root/scripts/with_dashboard_node.sh" npm run build -) -export LITELLM_UI_PATH="$repo_root/ui/litellm-dashboard/out" - -printf 'Dashboard: http://127.0.0.1:4002/ui/\nProxy: http://127.0.0.1:4002\nMaster key: %s\n' "$LITELLM_MASTER_KEY" -"$repo_root/.venv/bin/python" litellm/proxy/proxy_cli.py \ - --config "$config_file" --host 127.0.0.1 --port 4002 & -proxy_pid=$! - -if [ "$seed_fixtures" = "1" ]; then - ready=0 - for attempt in $(seq 1 180); do - kill -0 "$proxy_pid" 2>/dev/null || { echo "Proxy exited before seeding" >&2; exit 1; } - if curl --fail --silent "$PROXY_BASE_URL/health/readiness" \ - -H "Authorization: Bearer $LITELLM_MASTER_KEY" >/dev/null; then - ready=1 - break - fi - sleep 1 - done - [ "$ready" = "1" ] || { echo "Proxy did not become ready within 180 seconds" >&2; exit 1; } - "$repo_root/.venv/bin/python" -m scripts.seed_tracing_fixtures -fi - -wait "$proxy_pid" +echo "run_tracing_proxy_local.sh is deprecated; use make lens-dev" >&2 +exec "$repo_root/scripts/lens_dev.sh" "$@" diff --git a/scripts/seed_tracing_fixtures.py b/scripts/seed_tracing_fixtures.py index d482b265784..3febe49c451 100644 --- a/scripts/seed_tracing_fixtures.py +++ b/scripts/seed_tracing_fixtures.py @@ -1,5 +1,6 @@ from __future__ import annotations +import argparse import asyncio import base64 import binascii @@ -10,32 +11,31 @@ import os import re import sys import time -from collections.abc import Iterator +from collections.abc import Iterator, Mapping, Sequence from dataclasses import dataclass from datetime import datetime, timezone +from functools import cache from itertools import chain from pathlib import Path from types import MappingProxyType -from typing import TYPE_CHECKING, Final +from typing import TYPE_CHECKING, Final, Literal from uuid import uuid4 import httpx from pydantic import BaseModel, ConfigDict, JsonValue, TypeAdapter from litellm.rust_bridge.trace.generated.types import AllQueryScope, Trace -from litellm.rust_bridge.trace.storage import ClickHouseStorage +from litellm.rust_bridge.trace.storage import ClickHouseStorage, Tenant, span_rows from litellm.tracing.config import trace_storage_config from litellm.tracing.types import SpendLogRecord if TYPE_CHECKING: + from prisma import Prisma from prisma.types import LiteLLM_SpendLogsCreateWithoutRelationsInput REPO_ROOT: Final = Path(__file__).resolve().parents[1] TRACE_FIXTURES: Final = REPO_ROOT / "litellm-rust/crates/traces/tests/fixtures" -SPEND_FIXTURE: Final = ( - REPO_ROOT / "litellm-rust/crates/traces-clickhouse/tests/fixtures/deeplite_swarm_spend_logs.jsonl" -) -SPEND_FIXTURES: Final = SPEND_FIXTURE.parent +SPEND_FIXTURES: Final = REPO_ROOT / "litellm-rust/crates/traces-clickhouse/tests/fixtures" JSON: Final[TypeAdapter[JsonValue]] = TypeAdapter(JsonValue) JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue]) SPEND_ROWS: Final = TypeAdapter(tuple[SpendLogRecord, ...]) @@ -103,7 +103,9 @@ def response_ids(rows: tuple[SpendLogRecord, ...]) -> Iterator[str]: def response_pattern(rows: tuple[SpendLogRecord, ...]) -> re.Pattern[str]: identities: Final = sorted( - frozenset(filter(None, chain(response_ids(rows), (row["litellm_call_id"] for row in rows)))), + frozenset( + identity for identity in chain(response_ids(rows), (row["litellm_call_id"] for row in rows)) if identity + ), key=len, reverse=True, ) @@ -118,12 +120,15 @@ def rebased_response(value: str, namespace: str, pattern: re.Pattern[str]) -> st return "resp_" + base64.b64encode(payload.encode()).decode() +@cache +def fixture_exports(directory: Path) -> tuple[tuple[str, JsonValue], ...]: + return tuple((path.stem, JSON.validate_json(path.read_bytes())) for path in sorted(directory.glob("*.json"))) + + def fixture_replays( directory: Path, now_ms: int, namespace: str, response_pattern: re.Pattern[str] ) -> tuple[FixtureReplay, ...]: - exports: Final = tuple( - (path.stem, JSON.validate_json(path.read_bytes())) for path in sorted(directory.glob("*.json")) - ) + exports: Final = fixture_exports(directory) query_latest: Final = max( (max(timestamps(export)) for name, export in exports if name.startswith("query_")), default=0 ) @@ -236,15 +241,51 @@ def postgres_row(row: SpendLogRecord) -> LiteLLM_SpendLogsCreateWithoutRelations ) -async def seed() -> int: - from prisma import Prisma +class SeedOptions(BaseModel): + model_config = ConfigDict(frozen=True) + profile: Literal["default", "large"] + copies: int | None + batch_copies: int = 4 + timeout_seconds: float = 120 - fixtures: Final = spend_fixtures() - spends: Final = tuple(chain.from_iterable(rows for _, rows in fixtures)) + +def seed_arguments(argv: Sequence[str] | None = None) -> SeedOptions: + parser: Final = argparse.ArgumentParser(description="Replay tracing fixtures into a running local Lens stack") + parser.add_argument("--profile", choices=("default", "large"), default="default") + parser.add_argument( + "--copies", + type=int, + default=os.environ.get("LENS_DEV_SEED_COPIES"), + help="Override fixture copies (default: 1, large: 2000; env: LENS_DEV_SEED_COPIES)", + ) + parser.add_argument( + "--batch-copies", + type=int, + default=os.environ.get("LENS_DEV_SEED_BATCH_COPIES", "4"), + help="Copies per bulk insert (default: 4; env: LENS_DEV_SEED_BATCH_COPIES)", + ) + parser.add_argument("--timeout-seconds", type=float, default=os.environ.get("LENS_DEV_SEED_TIMEOUT_SECONDS", "120")) + arguments: Final = SeedOptions.model_validate(vars(parser.parse_args(argv))) + if arguments.copies is not None and arguments.copies < 1: + parser.error("--copies must be positive") + if arguments.batch_copies < 1: + parser.error("--batch-copies must be positive") + if not math.isfinite(arguments.timeout_seconds) or arguments.timeout_seconds <= 0: + parser.error("--timeout-seconds must be finite and positive") + return arguments + + +async def seed_batch( + client: httpx.AsyncClient, + storage: ClickHouseStorage, + database: Prisma, + replays: tuple[FixtureReplay, ...], + fixtures: tuple[tuple[str, tuple[SpendLogRecord, ...]], ...], + pattern: re.Pattern[str], + tenant: TenantIdentity | None, + verify: bool, +) -> TenantIdentity: by_name: Final = MappingProxyType(dict(fixtures)) - namespace: Final = uuid4().hex - pattern: Final = response_pattern(spends) - replays: Final = fixture_replays(TRACE_FIXTURES, time.time_ns() // 1_000_000, namespace, pattern) paired: Final = tuple( ( replay.name, @@ -254,45 +295,108 @@ async def seed() -> int: if replay.name in by_name ) rebased_spends: Final = tuple(chain.from_iterable(rows for _, rows in paired)) - master_key: Final = os.environ["LITELLM_MASTER_KEY"] - proxy_url: Final = os.environ.get("PROXY_BASE_URL", "http://127.0.0.1:4002") - async with httpx.AsyncClient( - base_url=proxy_url, headers={"Authorization": f"Bearer {master_key}"}, timeout=60 - ) as client: - for replay in replays: - ( - await client.post( - "/v1/traces", content=json.dumps(replay.export), headers={"Content-Type": "application/json"} - ) - ).raise_for_status() - storage: Final = ClickHouseStorage(trace_storage_config({})) - trace_id: Final = next(row["trace_id"] for row in rebased_spends if row["trace_id"]) - identity: Final = await storage.query_sql( - "SELECT DISTINCT TeamId AS team_id, ApiKeyHash AS api_key, UserId AS user " - f"FROM otel_traces WHERE TraceId = '{trace_id}'", - AllQueryScope(kind="all"), - master_key, - ) - tenant: Final = TenantIdentity.model_validate(identity.data[0]) - stamped_spends: Final[tuple[SpendLogRecord, ...]] = tuple( - {**row, "team_id": tenant.team_id, "api_key": tenant.api_key, "user": tenant.user} for row in rebased_spends - ) - await storage.insert_rows("spend_logs", stamped_spends) - async with Prisma() as database: - await database.litellm_spendlogs.create_many(data=[postgres_row(row) for row in stamped_spends]) + resolved_tenant: Final = await ingest_replays( + client, storage, replays, fixture_capture(*next((name, rows[0]) for name, rows in paired)).trace_id, tenant + ) + stamped_spends: Final[tuple[SpendLogRecord, ...]] = tuple( + {**row, "team_id": resolved_tenant.team_id, "api_key": resolved_tenant.api_key, "user": resolved_tenant.user} + for row in rebased_spends + ) + await storage.insert_rows("spend_logs", stamped_spends) + await database.litellm_spendlogs.create_many(data=[postgres_row(row) for row in stamped_spends]) + if verify: verified: Final = tuple(await asyncio.gather(*(verify_capture(client, name, rows) for name, rows in paired))) - sys.stdout.write( - json.dumps( - { - "trace_fixtures": tuple(replay.name for replay in replays), - "spend_rows": len(stamped_spends), - "captures": verified, - }, - indent=2, - ) - + "\n" + sys.stdout.write(json.dumps({"spend_rows": len(stamped_spends), "captures": verified}, indent=2) + "\n") + if not all(capture["verified"] for capture in verified): + raise RuntimeError("Seed spend verification failed") + return resolved_tenant + + +async def ingest_replays( + client: httpx.AsyncClient, + storage: ClickHouseStorage, + replays: tuple[FixtureReplay, ...], + trace_id: str, + tenant: TenantIdentity | None, +) -> TenantIdentity: + if tenant is not None: + await storage.insert_rows( + "otel_traces", bulk_span_rows(replays, Tenant(tenant.team_id, tenant.api_key, user_id=tenant.user)) ) - return 0 if all(capture["verified"] for capture in verified) else 1 + return tenant + for replay in replays: + ( + await client.post( + "/v1/traces", content=json.dumps(replay.export), headers={"Content-Type": "application/json"} + ) + ).raise_for_status() + identity: Final = await storage.query_sql( + "SELECT DISTINCT TeamId AS team_id, ApiKeyHash AS api_key, UserId AS user " + f"FROM otel_traces WHERE TraceId = '{trace_id}'", + AllQueryScope(kind="all"), + os.environ["LITELLM_MASTER_KEY"], + ) + return TenantIdentity.model_validate(identity.data[0]) + + +def bulk_span_rows(replays: tuple[FixtureReplay, ...], tenant: Tenant) -> tuple[Mapping[str, JsonValue], ...]: + return tuple( + chain.from_iterable( + span_rows(json.dumps(replay.export).encode(), "application/json", tenant) for replay in replays + ) + ) + + +def replay_batches( + count: int, now_ms: int, namespace: str, pattern: re.Pattern[str], batch_copies: int = 4 +) -> Iterator[tuple[int, tuple[FixtureReplay, ...]]]: + for start, stop in ((start, min(start + batch_copies, count)) for start in range(1, count, batch_copies)): + yield ( + stop, + tuple( + chain.from_iterable( + fixture_replays(TRACE_FIXTURES, now_ms - index * 1000, f"{namespace}-{index}", pattern) + for index in range(start, stop) + ) + ), + ) + + +async def seed( + profile: str = "default", copies: int | None = None, batch_copies: int = 4, timeout_seconds: float = 120 +) -> int: + from prisma import Prisma + + fixtures: Final = spend_fixtures() + pattern: Final = response_pattern(tuple(chain.from_iterable(rows for _, rows in fixtures))) + count: Final = copies if copies is not None else (2000 if profile == "large" else 1) + namespace: Final = uuid4().hex + now_ms: Final = time.time_ns() // 1_000_000 + storage: Final = ClickHouseStorage(trace_storage_config({})) + async with ( + httpx.AsyncClient( + base_url=os.environ.get("PROXY_BASE_URL", "http://127.0.0.1:4002"), + headers={"Authorization": f"Bearer {os.environ['LITELLM_MASTER_KEY']}"}, + timeout=timeout_seconds, + ) as client, + Prisma() as database, + ): + tenant: Final = await seed_batch( + client, + storage, + database, + fixture_replays(TRACE_FIXTURES, now_ms, namespace + "-0", pattern), + fixtures, + pattern, + None, + True, + ) + for stop, replays in replay_batches(count, now_ms, namespace, pattern, batch_copies): + await seed_batch(client, storage, database, replays, fixtures, pattern, tenant, stop == count) + sys.stdout.write(f"Seeded {stop}/{count} fixture copies\n") + sys.stdout.flush() + sys.stdout.write(f"Seed complete: profile={profile}, copies={count}, namespace={namespace}\n") + return 0 def fixture_capture(name: str, row: SpendLogRecord) -> FixtureCapture: @@ -307,7 +411,7 @@ def fixture_capture(name: str, row: SpendLogRecord) -> FixtureCapture: async def verify_capture( client: httpx.AsyncClient, name: str, rows: tuple[SpendLogRecord, ...] -) -> dict[str, JsonValue]: +) -> Mapping[str, JsonValue]: capture: Final = fixture_capture(name, rows[0]) detail: Final = await client.get(f"/v1/traces/{capture.trace_id}") detail.raise_for_status() @@ -320,9 +424,14 @@ async def verify_capture( "spend_rows": len(rows), "recorded_spend": expected, "trace_spend": actual, - "verified": math.isclose(actual, expected) if actual is not None else not (capture.spend_linked and capture.spend_complete), + "verified": math.isclose(actual, expected) + if actual is not None + else not (capture.spend_linked and capture.spend_complete), } if __name__ == "__main__": - raise SystemExit(asyncio.run(seed())) + arguments: Final = seed_arguments() + raise SystemExit( + asyncio.run(seed(arguments.profile, arguments.copies, arguments.batch_copies, arguments.timeout_seconds)) + ) diff --git a/tests/test_litellm_rust/test_traces.py b/tests/test_litellm_rust/test_traces.py index da1cd0af77a..c1847a52760 100644 --- a/tests/test_litellm_rust/test_traces.py +++ b/tests/test_litellm_rust/test_traces.py @@ -490,10 +490,10 @@ def seeded_trace_api(clickhouse_url: str) -> Iterator[SeededTraceAPI]: rebase_spend, ) - spends: Final = dict(spend_fixtures())["deeplite_swarm"] + spends: Final = dict(spend_fixtures())["openai_agents_swarm"] pattern: Final = re.compile("|".join(re.escape(row["response_id"]) for row in spends)) replays: Final = fixture_replays(TRACE_FIXTURES, time.time_ns() // 1_000_000, "query-api", pattern) - swarm: Final = next(replay for replay in replays if replay.name == "deeplite_swarm") + swarm: Final = next(replay for replay in replays if replay.name == "openai_agents_swarm") rebased: Final = rebase_spend(spends, swarm.offset_ms, swarm.namespace, pattern) stamped: Final[tuple[SpendLogRecord, ...]] = tuple( {**row, "team_id": "team-a", "api_key": "fixture-key", "user": "fixture-user"} for row in rebased @@ -533,12 +533,11 @@ def test_fixture_backed_help_examples_execute_through_query_api(seeded_trace_api assert {table.name for table in api.help.tables} == {"otel_traces", "spend_logs", "agent_traces_by_key"} assert api.help.metadata.error is None assert api.help.metadata.sampled_rows == len(api.spends) - assert any(field.path == ("synthetic_spend",) for field in api.help.metadata.fields) + assert any(field.path == ("fixture_capture", "name") for field in api.help.metadata.fields) for example in api.help.examples: api.query_example(example.name) records: Final = api.query_example("Recent spend records") assert {str(row["request_id"]) for row in records} == {row["request_id"] for row in api.spends} - assert all(bool(row["synthetic_spend"]) for row in records) total: Final = sum(row["spend"] or 0 for row in api.spends) recorded: Final = api.query_example("Recorded spend by trace") assert len(recorded) == 1 @@ -616,7 +615,7 @@ def captured_trace_api() -> Iterator[SeededTraceAPI]: yield from _fixture_trace_api(url, replays, stamped) -@pytest.mark.parametrize("name", tuple(name for name, _ in spend_fixtures() if name != "deeplite_swarm")) +@pytest.mark.parametrize("name", tuple(name for name, _ in spend_fixtures())) def test_captured_sdk_cost_survives_seeding_and_is_queryable(name: str, captured_trace_api: SeededTraceAPI) -> None: api: Final = captured_trace_api rows: Final = tuple(row for row in api.spends if fixture_capture("", row).name == name) diff --git a/tests/unit/test_lens_dev.py b/tests/unit/test_lens_dev.py index cbc8aced8ac..af61734731e 100644 --- a/tests/unit/test_lens_dev.py +++ b/tests/unit/test_lens_dev.py @@ -163,3 +163,84 @@ def test_cleanup_kills_child_process_trees(tmp_path): assert proc.returncode == 0, proc.stderr assert "lens-dev: stopping" in proc.stdout assert proc.stdout.strip().endswith("CLEAN") + + +def test_seed_only_uses_local_credentials_and_profile(tmp_path: Path) -> None: + proc = _run( + tmp_path, + "parse_args --seed-only --seed large --copies 7; master_key=sk-local; " + 'py() { env; printf "%s\\n" "$@"; }; py=py; seed_data', + ) + assert proc.returncode == 0, proc.stderr + assert "LITELLM_MASTER_KEY=sk-local" in proc.stdout + assert "PROXY_BASE_URL=http://localhost:4000" in proc.stdout + assert "CLICKHOUSE_DATABASE=litellm" in proc.stdout + assert "--profile\nlarge\n--copies\n7" in proc.stdout + + +def test_seed_arguments_reject_invalid_counts_before_startup(tmp_path: Path) -> None: + proc = _run(tmp_path, "parse_args --seed large --copies 0") + assert proc.returncode == 1 + assert "positive integer" in proc.stderr + + +def test_seed_only_defaults_to_small_profile(tmp_path: Path) -> None: + proc = _run(tmp_path, 'parse_args --seed-only; echo "$seed_profile $seed_only"') + assert proc.returncode == 0, proc.stderr + assert proc.stdout.strip() == "default 1" + + +def test_seed_only_with_no_cli_count_preserves_env_controls(tmp_path: Path) -> None: + proc = _run( + tmp_path, + "parse_args --seed-only; master_key=sk-local; py() { " + 'printf "%s %s %s\\n" "$LENS_DEV_SEED_COPIES" "$LENS_DEV_SEED_BATCH_COPIES" "$@"; }; py=py; seed_data', + LENS_DEV_SEED_COPIES="3", + LENS_DEV_SEED_BATCH_COPIES="1", + ) + assert proc.returncode == 0, proc.stderr + assert proc.stdout.startswith("3 1 -m") + + +def test_proxy_uses_this_checkouts_ui_build(tmp_path: Path) -> None: + proc = _run(tmp_path, 'proxy_env "export LITELLM_UI_PATH=/old/build"; echo "$LITELLM_UI_PATH"') + assert proc.returncode == 0, proc.stderr + assert proc.stdout.strip() == str(ROOT / "ui/litellm-dashboard/out") + + +def test_dashboard_build_uses_same_origin_and_captures_failures(tmp_path: Path) -> None: + dashboard = tmp_path / "ui/litellm-dashboard" + dashboard.mkdir(parents=True) + scripts = tmp_path / "scripts" + scripts.mkdir() + runner = scripts / "with_dashboard_node.sh" + runner.write_text('#!/bin/sh\nprintf "base=%s args=%s\\n" "$NEXT_PUBLIC_BASE_URL" "$*"\nexit "$BUILD_STATUS"\n') + runner.chmod(0o755) + snippet = f'repo_root="{tmp_path}"; mkdir -p "$log_dir"; build_dashboard' + success = _run(tmp_path, snippet, BUILD_STATUS="0", LENS_DEV_BUILD_UI="1", NEXT_PUBLIC_BASE_URL="http://old-proxy") + assert success.returncode == 0, success.stderr + log = tmp_path / "state/logs/ui-build.log" + assert log.read_text().strip() == "base= args=npm run build" + failure = _run(tmp_path, snippet, BUILD_STATUS="1", LENS_DEV_BUILD_UI="1") + assert failure.returncode == 1 + assert "UI build failed" in failure.stderr + + +def test_skipping_ui_build_needs_no_static_export(tmp_path: Path) -> None: + proc = _run(tmp_path, f'repo_root="{tmp_path}"; build_dashboard', LENS_DEV_BUILD_UI="0") + assert proc.returncode == 0, proc.stderr + assert not (tmp_path / "ui/litellm-dashboard/out").exists() + + +def test_ui_readiness_uses_live_login_route(tmp_path: Path) -> None: + proc = _run(tmp_path, 'wait_for_ui "$$"', LENS_DEV_UI_PORT="3017") + assert proc.returncode == 0, proc.stderr + assert "http://localhost:3017/ui/login/" in _curl_calls(tmp_path) + + +def test_ui_exit_fails_before_readiness_request(tmp_path: Path) -> None: + proc = _run(tmp_path, 'true & child=$!; wait "$child"; wait_for_ui "$child"') + assert proc.returncode == 1 + assert "UI exited; see" in proc.stderr + assert "ui.log" in proc.stderr + assert _curl_calls(tmp_path) == "" diff --git a/tests/unit/test_seed_tracing_fixtures.py b/tests/unit/test_seed_tracing_fixtures.py index de29a595d98..30cfde9feec 100644 --- a/tests/unit/test_seed_tracing_fixtures.py +++ b/tests/unit/test_seed_tracing_fixtures.py @@ -4,23 +4,30 @@ from datetime import datetime from itertools import chain from pathlib import Path from typing import Final +from unittest.mock import AsyncMock +import httpx import pytest -from prisma import Json +from prisma import Json, Prisma from pydantic import InstanceOf, TypeAdapter -from litellm.rust_bridge.trace.storage import span_rows +from litellm.rust_bridge.trace.storage import Tenant, span_rows from litellm.tracing.types import SpendLogRecord from scripts.seed_tracing_fixtures import ( JSON, TRACE_FIXTURES, + TenantIdentity, + bulk_span_rows, fixture_capture, fixture_replays, postgres_row, rebase, rebase_spend, + replay_batches, response_ids, response_pattern, + seed_arguments, + seed_batch, seed_id, spend_fixtures, timestamps, @@ -76,9 +83,9 @@ def test_all_fixture_replays_are_recent_and_preserve_spans(path: Path) -> None: @pytest.mark.requires_rust_extension def test_replay_preserves_trace_topology_usage_and_event_timing() -> None: - export: Final = JSON.validate_json((TRACE_FIXTURES / "deeplite_swarm.json").read_bytes()) + export: Final = JSON.validate_json((TRACE_FIXTURES / "deepagents_swarm.json").read_bytes()) original: Final = span_rows(json.dumps(export).encode(), "application/json") - spend_rows: Final = dict(spend_fixtures())["deeplite_swarm"] + spend_rows: Final = dict(spend_fixtures())["deepagents_swarm"] pattern: Final = re.compile("|".join(re.escape(row["response_id"]) for row in spend_rows)) shifted: Final = rebase(export, 123_000_000, "first-run", pattern) replayed: Final = span_rows(json.dumps(shifted).encode(), "application/json") @@ -102,36 +109,8 @@ def test_replay_preserves_trace_topology_usage_and_event_timing() -> None: ) -@pytest.mark.requires_rust_extension -def test_paired_fixture_joins_every_successful_llm_span_after_replay() -> None: - export: Final = JSON.validate_json((TRACE_FIXTURES / "deeplite_swarm.json").read_bytes()) - spends: Final = dict(spend_fixtures())["deeplite_swarm"] - pattern: Final = re.compile("|".join(re.escape(row["response_id"]) for row in spends)) - replays: Final = fixture_replays(TRACE_FIXTURES, max(timestamps(export)) // 1_000_000 + 1123, "paired-run", pattern) - replay: Final = next(item for item in replays if item.name == "deeplite_swarm") - rebased_spends: Final = rebase_spend(spends, replay.offset_ms, replay.namespace, pattern) - spans: Final = span_rows(json.dumps(replay.export).encode(), "application/json") - llm_spans: Final = tuple(span for span in spans if span["ObservationType"] == "llm") - by_response: Final = {row["response_id"]: row for row in rebased_spends} - - assert len(by_response) == len(llm_spans) == len(rebased_spends) - assert frozenset(by_response) == frozenset(span["LiteLLMRequestId"] for span in llm_spans) - for span, spend in ((span, by_response[span["LiteLLMRequestId"]]) for span in llm_spans): - assert spend["request_id"] == span["LiteLLMRequestId"] - assert spend["trace_id"] == spend["session_id"] == span["TraceId"] - assert spend["span_id"] == span["SpanId"] - assert spend["start_time"] == span["Timestamp"] // 1_000_000 - assert spend["end_time"] == (span["Timestamp"] + span["Duration"]) // 1_000_000 - assert spend["prompt_tokens"] == span["InputTokens"] - assert spend["completion_tokens"] == span["OutputTokens"] - assert spend["total_tokens"] == spend["prompt_tokens"] + spend["completion_tokens"] - assert json.loads(spend["response"])["id"] == spend["response_id"] - assert json.loads(spend["response"])["usage"]["total_tokens"] == spend["total_tokens"] - assert json.loads(spend["metadata"])["synthetic_spend"] is True - - def test_postgres_rows_preserve_clickhouse_cost_identity_and_payloads() -> None: - spends: Final = dict(spend_fixtures())["deeplite_swarm"] + spends: Final = dict(spend_fixtures())["deepagents_swarm"] for spend, postgres in ((spend, postgres_row(spend)) for spend in spends): start_time, end_time = DATETIMES.validate_python((postgres["startTime"], postgres["endTime"])) @@ -143,7 +122,7 @@ def test_postgres_rows_preserve_clickhouse_cost_identity_and_payloads() -> None: spend["api_key"], spend["team_id"], spend["user"], - spend["trace_id"], + spend["session_id"], ) assert postgres["spend"] == spend["spend"] assert postgres["total_tokens"] == spend["prompt_tokens"] + spend["completion_tokens"] @@ -156,7 +135,7 @@ def test_postgres_rows_preserve_clickhouse_cost_identity_and_payloads() -> None: @pytest.mark.requires_rust_extension -@pytest.mark.parametrize("name,spends", tuple(item for item in spend_fixtures() if item[0] != "deeplite_swarm")) +@pytest.mark.parametrize("name,spends", spend_fixtures()) def test_captured_spend_replay_preserves_real_cost_and_call_identity( name: str, spends: tuple[SpendLogRecord, ...] ) -> None: @@ -184,7 +163,7 @@ def test_captured_spend_replay_preserves_real_cost_and_call_identity( if before["litellm_call_id"]: assert after["litellm_call_id"] != before["litellm_call_id"] identities: Final = frozenset(f"provider_response:{identity}" for identity in response_ids((after,))) | { - f"litellm_request:{after["litellm_call_id"]}" + f"litellm_request:{after['litellm_call_id']}" } assert bool(identities & keys) is capture.spend_linked @@ -193,9 +172,81 @@ def test_captured_spend_replay_preserves_real_cost_and_call_identity( def test_spend_fixture_loading_preserves_gateway_ids_and_defaults_legacy_rows( tmp_path: Path, call_id: str | None ) -> None: - original: Final = dict(spend_fixtures())["deeplite_swarm"][0] + original: Final = dict(spend_fixtures())["deepagents_swarm"][0] fields: Final = {key: value for key, value in original.items() if key != "litellm_call_id"} supplied: Final = fields if call_id is None else {**fields, "litellm_call_id": call_id} (tmp_path / "example_spend_logs.jsonl").write_text(json.dumps(supplied) + "\n") loaded: Final = spend_fixtures(tmp_path) assert loaded == (("example", ({**original, "litellm_call_id": call_id or ""},)),) + + +@pytest.mark.requires_rust_extension +def test_bulk_export_preserves_all_spans_and_disjoint_copy_ids() -> None: + first: Final = fixture_replays(TRACE_FIXTURES, 1_800_000_000_000, "copy-1", re.compile(r"(?!)")) + second: Final = fixture_replays(TRACE_FIXTURES, 1_800_000_001_000, "copy-2", re.compile(r"(?!)")) + merged: Final = bulk_span_rows(first + second, Tenant("", "")) + separate: Final = tuple( + span for replay in first + second for span in span_rows(json.dumps(replay.export).encode(), "application/json") + ) + assert tuple(merged) == separate + first_ids: Final = frozenset(span["TraceId"] for span in bulk_span_rows(first, Tenant("", ""))) + second_ids: Final = frozenset(span["TraceId"] for span in bulk_span_rows(second, Tenant("", ""))) + assert first_ids.isdisjoint(second_ids) + + +@pytest.mark.requires_rust_extension +@pytest.mark.asyncio +async def test_bulk_seed_stamps_authenticated_tenant_and_writes_both_stores() -> None: + from litellm.rust_bridge.trace.storage import ClickHouseStorage, Tenant + + fixtures: Final = spend_fixtures() + pattern: Final = response_pattern(tuple(chain.from_iterable(rows for _, rows in fixtures))) + replays: Final = fixture_replays(TRACE_FIXTURES, 1_800_000_000_000, "bulk", pattern) + storage: Final = AsyncMock(spec=ClickHouseStorage) + database: Final = AsyncMock(spec=Prisma, litellm_spendlogs=AsyncMock()) + tenant: Final = TenantIdentity(team_id="local-team", api_key="local-hash", user="admin") + async with httpx.AsyncClient() as client: + result: Final = await seed_batch(client, storage, database, replays, fixtures, pattern, tenant, False) + assert result == tenant + trace_table, trace_rows = storage.insert_rows.call_args_list[0].args + assert trace_table == "otel_traces" + assert trace_rows == bulk_span_rows(replays, Tenant("local-team", "local-hash", user_id="admin")) + table, rows = storage.insert_rows.call_args_list[1].args + assert table == "spend_logs" + assert len(rows) == sum(len(original) for _, original in fixtures) + assert all((row["team_id"], row["api_key"], row["user"]) == ("local-team", "local-hash", "admin") for row in rows) + saved: Final = database.litellm_spendlogs.create_many.call_args.kwargs["data"] + assert tuple(row["request_id"] for row in saved) == tuple(row["request_id"] for row in rows) + assert tuple(row["spend"] for row in saved) == tuple(row["spend"] for row in rows) + storage.query_sql.assert_not_called() + + +def test_seed_cli_rejects_nonpositive_copies() -> None: + with pytest.raises(SystemExit) as error: + seed_arguments(["--copies", "0"]) + assert error.value.code == 2 + assert seed_arguments(["--profile", "large", "--copies", "5"]).copies == 5 + + +def test_bulk_batches_cover_every_copy_including_partial_tail() -> None: + batches: Final = tuple(replay_batches(8, 1_800_000_000_000, "batch", re.compile(r"(?!)"), 3)) + assert tuple(stop for stop, _ in batches) == (4, 7, 8) + expected: Final = tuple( + tuple(fixture_replays(TRACE_FIXTURES, 1_800_000_000_000 - index * 1000, f"batch-{index}", re.compile(r"(?!)"))) + for index in range(1, 8) + ) + assert tuple(chain.from_iterable(replays for _, replays in batches)) == tuple(chain.from_iterable(expected)) + + +def test_seed_cli_rejects_nonpositive_batch_size() -> None: + with pytest.raises(SystemExit) as error: + seed_arguments(["--batch-copies", "0"]) + assert error.value.code == 2 + assert seed_arguments(["--batch-copies", "2"]).batch_copies == 2 + + +@pytest.mark.parametrize("timeout", ("0", "-1", "inf", "nan")) +def test_seed_cli_rejects_invalid_http_timeouts(timeout: str) -> None: + with pytest.raises(SystemExit) as error: + seed_arguments(["--timeout-seconds", timeout]) + assert error.value.code == 2 diff --git a/ui/litellm-dashboard/next.config.mjs b/ui/litellm-dashboard/next.config.mjs index f1d59f99dcc..e7a63206017 100644 --- a/ui/litellm-dashboard/next.config.mjs +++ b/ui/litellm-dashboard/next.config.mjs @@ -5,8 +5,20 @@ import { fileURLToPath } from "url"; const __filename = fileURLToPath(import.meta.url); const __dirname = path.dirname(__filename); +const devProxyUrl = process.env.LENS_DEV_PROXY_URL; + const nextConfig = { - output: "export", + ...(devProxyUrl + ? { + async rewrites() { + return { + beforeFiles: [{ source: "/ui/:path*", destination: "/:path*" }], + fallback: [{ source: "/:path*", destination: `${devProxyUrl}/:path*` }], + }; + }, + } + : {}), + output: devProxyUrl ? undefined : "export", typescript: { tsconfigPath: "tsconfig.production.json" }, experimental: { useTypeScriptCli: false, @@ -21,7 +33,8 @@ const nextConfig = { }, basePath: "", assetPrefix: "/litellm-asset-prefix", - trailingSlash: true, + trailingSlash: !devProxyUrl, + skipTrailingSlashRedirect: Boolean(devProxyUrl), turbopack: { // Must be absolute; "." is no longer allowed root: __dirname, diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json index c64db5abb93..af723f22957 100644 --- a/ui/litellm-dashboard/package-lock.json +++ b/ui/litellm-dashboard/package-lock.json @@ -36,6 +36,7 @@ "react-copy-to-clipboard": "5.1.1", "react-dom": "19.2.8", "react-hook-form": "7.82.0", + "react-intersection-observer": "11.0.1", "react-json-view-lite": "2.5.0", "react-markdown": "9.1.0", "react-syntax-highlighter": "15.6.6", @@ -10394,6 +10395,21 @@ "react": "^16.8.0 || ^17 || ^18 || ^19" } }, + "node_modules/react-intersection-observer": { + "version": "11.0.1", + "resolved": "https://registry.npmjs.org/react-intersection-observer/-/react-intersection-observer-11.0.1.tgz", + "integrity": "sha512-BIZ1M40GPSKDIT1MJbXK7SB0BwBaTKr84QfZCs5asKer7YMOYLzMi+RI1F4VStbZLGHoosJmd+aOQDDipUV1gA==", + "license": "MIT", + "peerDependencies": { + "react": "^17.0.0 || ^18.0.0 || ^19.0.0", + "react-dom": "^17.0.0 || ^18.0.0 || ^19.0.0" + }, + "peerDependenciesMeta": { + "react-dom": { + "optional": true + } + } + }, "node_modules/react-is": { "version": "17.0.2", "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz", diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json index 80d08bc870b..894f6f230ca 100644 --- a/ui/litellm-dashboard/package.json +++ b/ui/litellm-dashboard/package.json @@ -53,6 +53,7 @@ "react-copy-to-clipboard": "5.1.1", "react-dom": "19.2.8", "react-hook-form": "7.82.0", + "react-intersection-observer": "11.0.1", "react-json-view-lite": "2.5.0", "react-markdown": "9.1.0", "react-syntax-highlighter": "15.6.6", diff --git a/ui/litellm-dashboard/src/app/globals.css b/ui/litellm-dashboard/src/app/globals.css index 72d304c0dc7..cad79f64ea0 100644 --- a/ui/litellm-dashboard/src/app/globals.css +++ b/ui/litellm-dashboard/src/app/globals.css @@ -64,8 +64,6 @@ } @theme inline { - --animate-slide-left: slide-left 200ms cubic-bezier(0, 0, 0.2, 1) both; - --animate-view-fade-in: view-fade-in 100ms cubic-bezier(0.4, 0, 0.2, 1) both; --animate-slot-slide-in: slot-slide-in 150ms cubic-bezier(0, 0, 0.2, 1) both; --animate-trace-drawer-in: trace-drawer-in 200ms cubic-bezier(0.25, 1, 0.5, 1) both; --animate-trace-drawer-out: trace-drawer-out 200ms cubic-bezier(0.4, 0, 1, 1) both; @@ -91,24 +89,6 @@ } } - @keyframes slide-left { - from { - opacity: 0; - transform: translateX(2rem) scaleX(0.98); - } - to { - opacity: 1; - transform: none; - } - } - @keyframes view-fade-in { - from { - opacity: 0; - } - to { - opacity: 1; - } - } @keyframes slot-slide-in { from { opacity: 0; @@ -137,8 +117,6 @@ @media (prefers-reduced-motion: reduce) { .animate-trace-drawer-in, .animate-trace-drawer-out, - .animate-slide-left, - .animate-view-fade-in, .animate-slot-slide-in { animation: none !important; } diff --git a/ui/litellm-dashboard/src/components/lens/investigations/HeaderActions.tsx b/ui/litellm-dashboard/src/components/lens/HeaderActions.tsx similarity index 54% rename from ui/litellm-dashboard/src/components/lens/investigations/HeaderActions.tsx rename to ui/litellm-dashboard/src/components/lens/HeaderActions.tsx index cd362e2178d..8df9307c990 100644 --- a/ui/litellm-dashboard/src/components/lens/investigations/HeaderActions.tsx +++ b/ui/litellm-dashboard/src/components/lens/HeaderActions.tsx @@ -3,11 +3,11 @@ import { useContext, type ReactNode } from "react"; import { createPortal } from "react-dom"; -import { LensPreviewTarget } from "../LensPreviewButton"; +import { LensPreviewContext } from "./LensPreviewButton"; export function HeaderActions({ children }: { children: ReactNode }) { - const target = useContext(LensPreviewTarget); + const preview = useContext(LensPreviewContext); const actions =
{children}
; - if (target === null) return null; - return target ? createPortal(actions, target) : actions; + if (preview === undefined) return actions; + return preview.target ? createPortal(actions, preview.target) : null; } diff --git a/ui/litellm-dashboard/src/components/lens/LensDemoContext.tsx b/ui/litellm-dashboard/src/components/lens/LensDemoContext.tsx deleted file mode 100644 index fc7fbbdb65c..00000000000 --- a/ui/litellm-dashboard/src/components/lens/LensDemoContext.tsx +++ /dev/null @@ -1,10 +0,0 @@ -"use client"; - -import { createContext, useContext } from "react"; - -export interface LensDemo { - copyTrace: (traceId: string, spanId?: string) => string; -} - -export const LensDemoContext = createContext(null); -export const useLensDemo = () => useContext(LensDemoContext); diff --git a/ui/litellm-dashboard/src/components/lens/LensNavigation.integration.test.tsx b/ui/litellm-dashboard/src/components/lens/LensNavigation.integration.test.tsx index bdfe49c1d00..1ac4b5e6aef 100644 --- a/ui/litellm-dashboard/src/components/lens/LensNavigation.integration.test.tsx +++ b/ui/litellm-dashboard/src/components/lens/LensNavigation.integration.test.tsx @@ -32,9 +32,9 @@ describe("Lens navigation", () => { expect(screen.getByText("Trace polling active")).toBeVisible(); }); - it("opens existing lens links on findings", () => { + it("opens existing lens links on investigations", () => { renderWithProviders(, { searchParams: "?lens=saved-lens" }); - expect(screen.getByRole("tab", { name: "Findings" })).toHaveAttribute("aria-selected", "true"); + expect(screen.getByRole("tab", { name: "Investigations" })).toHaveAttribute("aria-selected", "true"); expect(screen.getByText("Manage investigations")).toBeVisible(); }); diff --git a/ui/litellm-dashboard/src/components/lens/LensPreviewButton.tsx b/ui/litellm-dashboard/src/components/lens/LensPreviewButton.tsx index 845a6b8d279..d518dedf6f0 100644 --- a/ui/litellm-dashboard/src/components/lens/LensPreviewButton.tsx +++ b/ui/litellm-dashboard/src/components/lens/LensPreviewButton.tsx @@ -4,15 +4,21 @@ import { createContext, useContext } from "react"; import { createPortal } from "react-dom"; import { Button } from "@/components/ui/button"; -export const LensPreviewTarget = createContext(undefined); - -export function LensPreviewButton({ onClick }: { onClick: () => void }) { - const target = useContext(LensPreviewTarget); - const button = ( - - ); - if (target === null) return null; - return target ? createPortal(button, target) : button; +export interface LensPreview { + /** Header slot for portaled actions; null until it mounts. */ + readonly target: HTMLElement | null; + readonly open?: () => void; +} + +export const LensPreviewContext = createContext(undefined); + +export function LensPreviewButton() { + const preview = useContext(LensPreviewContext); + if (!preview?.open || !preview.target) return null; + return createPortal( + , + preview.target, + ); } diff --git a/ui/litellm-dashboard/src/components/lens/LensServicesProvider.tsx b/ui/litellm-dashboard/src/components/lens/LensServicesProvider.tsx new file mode 100644 index 00000000000..ab5ee61fa4e --- /dev/null +++ b/ui/litellm-dashboard/src/components/lens/LensServicesProvider.tsx @@ -0,0 +1,13 @@ +"use client"; + +import type { ReactNode } from "react"; +import { TracesApiContext } from "@/components/view_logs/TraceView/tracesApi"; +import { LensApiContext, type LensServices } from "./services"; + +export function LensServicesProvider({ services, children }: { services: LensServices; children: ReactNode }) { + return ( + + {children} + + ); +} diff --git a/ui/litellm-dashboard/src/components/lens/LensWorkspace.integration.test.tsx b/ui/litellm-dashboard/src/components/lens/LensWorkspace.integration.test.tsx index 87adbe2adb3..49aa02fd6f0 100644 --- a/ui/litellm-dashboard/src/components/lens/LensWorkspace.integration.test.tsx +++ b/ui/litellm-dashboard/src/components/lens/LensWorkspace.integration.test.tsx @@ -1,10 +1,15 @@ -import { fireEvent, screen, within } from "@testing-library/react"; +import { fireEvent, screen, waitFor, within } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import { beforeEach, describe, expect, it, vi } from "vitest"; import { chooseSelectOption, renderWithProviders, testQueryClient } from "@/../tests/test-utils"; import { LensWorkspace } from "./LensWorkspace"; import { createLensDemoData } from "./demo/createLensDemo"; +const lastUrl = (onUrlUpdate: ReturnType) => + new URLSearchParams(String(onUrlUpdate.mock.lastCall?.[0].queryString ?? "")); +const expectUrl = (onUrlUpdate: ReturnType, check: (params: URLSearchParams) => void) => + waitFor(() => check(lastUrl(onUrlUpdate))); + const network = vi.fn(); beforeEach(() => { testQueryClient.clear(); @@ -19,7 +24,7 @@ beforeEach(() => { }); describe("Lens interactive demo", () => { - it("opens without tracing, filters sample runs, and restores the live view without mixing data", async () => { + it("opens without tracing, keeps the sample session in the URL, and restores the live view without mixing data", async () => { const user = userEvent.setup(); const onUrlUpdate = vi.fn(); renderWithProviders(, { @@ -29,6 +34,8 @@ describe("Lens interactive demo", () => { await user.click(screen.getByRole("button", { name: "Preview sample" })); expect(await screen.findByText("Where is order #1042?")).toBeVisible(); expect(screen.getByText("You’re viewing demo data")).toBeVisible(); + expect(screen.getByRole("switch", { name: "Demo data" })).toBeChecked(); + await expectUrl(onUrlUpdate, (url) => expect(url.get("demo")).toBe("true")); expect(screen.queryByRole("button", { name: "Set up tracing" })).not.toBeInTheDocument(); network.mockClear(); await user.click(screen.getByRole("button", { name: "Refresh" })); @@ -40,18 +47,84 @@ describe("Lens interactive demo", () => { await chooseSelectOption(user, screen.getByRole("combobox", { name: "Filter by agent" }), "support_agent"); await chooseSelectOption(user, screen.getByRole("combobox", { name: "Filter by status" }), "Failed"); expect(within(screen.getByRole("table", { name: "Agent runs" })).getAllByRole("row")).toHaveLength(4); + await expectUrl(onUrlUpdate, (url) => expect(url.get("agent")).toBe("support_agent")); + await expectUrl(onUrlUpdate, (url) => expect(url.get("status")).toBe("error")); await user.click(screen.getByRole("tab", { name: "Investigations" })); expect(await screen.findByRole("row", { name: /Support quality/ })).toBeVisible(); expect(screen.queryByRole("button", { name: "New investigation" })).not.toBeInTheDocument(); expect(network).not.toHaveBeenCalled(); - expect(onUrlUpdate).not.toHaveBeenCalled(); - await user.click(screen.getByRole("button", { name: "Exit demo" })); - expect(await screen.findByText("Enable tracing")).toBeVisible(); + await user.click(screen.getByRole("switch", { name: "Demo data" })); + expect(await screen.findByText(/Investigations require proxy administrator access/)).toBeVisible(); expect(screen.queryByText("You’re viewing demo data")).not.toBeInTheDocument(); expect(screen.queryByText("Can I return my headphones?")).not.toBeInTheDocument(); + expect(screen.getByRole("switch", { name: "Demo data" })).not.toBeChecked(); + await expectUrl(onUrlUpdate, (url) => expect([...url.entries()]).toEqual([["tab", "investigations"]])); }); - it("connects findings and history to their original trace without live requests or URL changes", async () => { + it("opens the sample session from ?demo=true and keeps the open run and step in the URL", async () => { + const user = userEvent.setup(); + const onUrlUpdate = vi.fn(); + renderWithProviders(, { + searchParams: "?demo=true", + onUrlUpdate, + }); + expect(await screen.findByText("You’re viewing demo data")).toBeVisible(); + await user.click(await screen.findByText("Where is order #1042?")); + const drawer = await screen.findByRole("complementary", { name: "Trace details" }); + await expectUrl(onUrlUpdate, (url) => expect(url.get("trace")).toBeTruthy()); + const openRun = lastUrl(onUrlUpdate); + expect(openRun.get("demo")).toBe("true"); + const run = createLensDemoData().runs.find(({ trace }) => trace.summary.trace_id === openRun.get("trace")); + const steps = await within(drawer).findAllByRole("treeitem"); + const step = steps.find((row) => run?.trace.spans.some((span) => span.span_id === row.getAttribute("data-row-id"))); + await user.click(step!); + await expectUrl(onUrlUpdate, (url) => expect(url.get("span")).toBe(step!.getAttribute("data-row-id"))); + expect(lastUrl(onUrlUpdate).get("trace")).toBe(openRun.get("trace")); + await user.click(within(drawer).getByRole("tab", { name: "Attributes" })); + await expectUrl(onUrlUpdate, (url) => expect(url.get("span_tab")).toBe("attributes")); + await user.click(within(drawer).getByRole("tab", { name: "Conversation" })); + await expectUrl(onUrlUpdate, (url) => expect(url.get("view")).toBe("conversation")); + expect(network).not.toHaveBeenCalled(); + await user.click(screen.getByRole("switch", { name: "Demo data" })); + expect(await screen.findByText("Enable tracing")).toBeVisible(); + await expectUrl(onUrlUpdate, (url) => expect([...url.keys()]).toEqual([])); + }); + + it("drops the live run selection when entering the sample session", async () => { + const user = userEvent.setup(); + const onUrlUpdate = vi.fn(); + network.mockResolvedValue(Response.json({ detail: "Tracing is not enabled" }, { status: 501 })); + renderWithProviders(, { + searchParams: "?tab=traces&trace=live-trace&span=live-span&lens=live-lens", + onUrlUpdate, + }); + await user.click(await screen.findByRole("switch", { name: "Demo data" })); + expect(await screen.findByText("Where is order #1042?")).toBeVisible(); + await expectUrl(onUrlUpdate, (url) => + expect([...url.entries()]).toEqual([ + ["tab", "traces"], + ["demo", "true"], + ]), + ); + expect(screen.queryByText(/Could not load trace/)).not.toBeInTheDocument(); + }); + + it("reopens a shared sample link on the same run, step and section", async () => { + const data = createLensDemoData(); + const run = data.runs[0].trace; + const step = run.spans[run.spans.length - 1]; + renderWithProviders(, { + searchParams: `?demo=true&trace=${run.summary.trace_id}&span=${step.span_id}&span_tab=request`, + }); + const drawer = await screen.findByRole("complementary", { name: "Trace details" }); + expect(await within(drawer).findByRole("treeitem", { selected: true })).toHaveAttribute( + "data-row-id", + step.span_id, + ); + expect(within(drawer).getByRole("tab", { name: "Request" })).toHaveAttribute("aria-selected", "true"); + }); + + it("connects findings and history to their original trace without live requests", async () => { const user = userEvent.setup(); const onUrlUpdate = vi.fn(); renderWithProviders(, { @@ -60,7 +133,6 @@ describe("Lens interactive demo", () => { }); await screen.findByRole("button", { name: "Preview sample" }); await user.click(screen.getByRole("button", { name: "Preview sample" })); - await user.click(await screen.findByRole("tab", { name: "Findings" })); network.mockClear(); await user.click(await screen.findByRole("row", { name: /Repeated lookups leave customers without an answer/ })); const finding = screen.getByRole("dialog"); @@ -80,10 +152,11 @@ describe("Lens interactive demo", () => { within(screen.getByRole("dialog", { name: "Original run" })).getByRole("button", { name: "Close" }), ); await user.click(within(screen.getByRole("dialog")).getByRole("button", { name: "Close" })); - expect(await screen.findByRole("table", { name: "Findings" })).toBeVisible(); + expect(await screen.findByRole("table", { name: "Investigations" })).toBeVisible(); expect(network).not.toHaveBeenCalled(); - expect(onUrlUpdate).not.toHaveBeenCalled(); - await user.click(screen.getByRole("button", { name: "Exit demo" })); + await expectUrl(onUrlUpdate, (url) => expect(url.get("demo")).toBe("true")); + await expectUrl(onUrlUpdate, (url) => expect(url.has("span")).toBe(false)); + await user.click(screen.getByRole("switch", { name: "Demo data" })); expect(await screen.findByRole("heading", { name: "Find what needs attention" })).toBeVisible(); }); diff --git a/ui/litellm-dashboard/src/components/lens/LensWorkspace.tsx b/ui/litellm-dashboard/src/components/lens/LensWorkspace.tsx index 9912fc37c21..11fdde333b3 100644 --- a/ui/litellm-dashboard/src/components/lens/LensWorkspace.tsx +++ b/ui/litellm-dashboard/src/components/lens/LensWorkspace.tsx @@ -1,129 +1,126 @@ "use client"; -import { useEffect, useState } from "react"; -import { Aperture } from "lucide-react"; -import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; -import { parseAsString, parseAsStringLiteral, useQueryState } from "nuqs"; +import { useId, useState } from "react"; +import { Tabs as TabsPrimitive } from "@base-ui/react/tabs"; +import { Activity, Aperture, Info, ScanSearch } from "lucide-react"; import AgentTracesPage from "@/components/view_logs/TraceView/AgentTracesPage"; -import { DemoNotice } from "@/components/shared/DemoNotice"; -import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; -import { LensDemoContext, useLensDemo } from "./LensDemoContext"; -import { LensServicesContext } from "./services"; -import { LensPreviewTarget } from "./LensPreviewButton"; +import { Switch } from "@/components/ui/switch"; +import { Tabs, TabsContent } from "@/components/ui/tabs"; +import { LensServicesProvider } from "./LensServicesProvider"; +import { LensPreviewContext } from "./LensPreviewButton"; import { isProxyAdminRole, isProxyAdminTierRole } from "@/utils/roles"; import { InvestigationsView } from "./investigations/InvestigationsView"; import { createLensDemo } from "./demo/createLensDemo"; +import { LENS_TABS, useLensRoute, type LensTab } from "./route"; -type Tab = "traces" | "findings" | "investigations"; type WorkspaceProps = { accessToken: string; userRole: string; readOnly: boolean }; export function LensWorkspace(props: WorkspaceProps) { - const [demoTab, setDemoTab] = useState(null); - return demoTab ? ( - setDemoTab(null)} /> - ) : ( - - ); + const { demo } = useLensRoute(); + return demo ? : ; } -function DemoSession({ initialTab, onExit }: { initialTab: Tab; onExit: () => void }) { - const [demo] = useState(createLensDemo); - const [client] = useState( - () => new QueryClient({ defaultOptions: { queries: { retry: false, staleTime: Infinity } } }), - ); - useEffect( - () => () => { - client.clear(); - }, - [client], - ); +function SampleSession() { + const [services] = useState(() => createLensDemo()); return ( - - - - - - - + + + ); } -function LensContent({ - accessToken, - userRole, - readOnly, - initialTab = "traces", - onDemo, - onExit, -}: WorkspaceProps & { initialTab?: Tab; onDemo?: (tab: Tab) => void; onExit?: () => void }) { - const demo = useLensDemo(); - const [tab, setTab] = useQueryState( - "tab", - parseAsStringLiteral(["traces", "findings", "investigations"]).withOptions({ history: "push" }), +function DemoToggle({ demo, onChange }: { demo: boolean; onChange: (demo: boolean) => void }) { + const id = useId(); + return ( +
+ {demo && ( +

+

+ )} + + +
); - const [lensId] = useQueryState("lens", parseAsString); - const [demoTab, setDemoTab] = useState(initialTab); +} + +const MODE_ICONS = { traces: Activity, investigations: ScanSearch } as const; + +function LensModeSwitch() { + return ( + + + {Object.entries(LENS_TABS).map(([view, label]) => { + const Icon = MODE_ICONS[view as LensTab]; + return ( + + + ); + })} + + ); +} + +function LensContent({ accessToken, userRole, readOnly }: WorkspaceProps) { + const { tab, lensId, demo, setTab, setDemo } = useLensRoute(); const [previewTarget, setPreviewTarget] = useState(null); - const defaultTab = lensId ? "findings" : "traces"; - const activeTab = demo ? demoTab : tab ?? defaultTab; - const openDemo = onDemo ? () => onDemo(activeTab) : undefined; + const activeTab = tab ?? (lensId ? "investigations" : "traces"); + const preview = (view: LensTab) => ({ + target: previewTarget, + open: !demo && activeTab === view ? () => setDemo(true) : undefined, + }); return ( - -
- {demo && } - (demo ? setDemoTab(value as Tab) : void setTab(value as Tab))} - className="min-h-0 flex-1 gap-2" - > -
-
-

-

- - - Traces - - - Findings - - - Investigations - - -
-
+
+ setTab(value as LensTab)} className="min-h-0 flex-1 gap-2"> +
+
+

+

+
- +
+
+ +
+
+ + - - {(["findings", "investigations"] as const).map((view) => ( - - {demo || isProxyAdminTierRole(userRole) ? ( - - ) : ( -

- Investigations require proxy administrator access. You can still view your traces. -

- )} - - ))} - -
- + + + + + {isProxyAdminTierRole(userRole) ? ( + + ) : ( +

+ Investigations require proxy administrator access. You can still view your traces. +

+ )} + + + +
); } diff --git a/ui/litellm-dashboard/src/components/lens/api/queries.ts b/ui/litellm-dashboard/src/components/lens/api/queries.ts index a17299b758f..b6ddf402a16 100644 --- a/ui/litellm-dashboard/src/components/lens/api/queries.ts +++ b/ui/litellm-dashboard/src/components/lens/api/queries.ts @@ -30,12 +30,11 @@ export const lensKeys = { }; export const lensQueries = { - list(api: LensApi, demo: boolean, workerSetup: boolean) { + list(api: LensApi, workerSetup: boolean) { const options = { queryKey: lensKeys.list(api.scope), queryFn: () => api.lenses(), refetchInterval: (current: Query): number | false => { - if (demo) return false; const running = current.state.data?.lenses.some((item) => item.jobs.some((job) => ["queued", "running"].includes(job.status)), ); @@ -50,24 +49,21 @@ export const lensQueries = { modelDetails(api: LensApi) { return queryOptions({ queryKey: lensKeys.modelDetails(api.scope), queryFn: () => api.modelDetails() }); }, - activity(api: LensApi, loaded: boolean, demo: boolean) { + activity(api: LensApi, loaded: boolean) { const options = { queryKey: lensKeys.activity(api.scope), queryFn: () => api.activity(), enabled: loaded, - refetchInterval: demo ? (false as const) : 5000, + refetchInterval: 5000, }; return queryOptions(options); }, - history( - api: LensApi, - { lensId, historyOffset, demo }: { lensId: string | undefined; historyOffset: number; demo: boolean }, - ) { + history(api: LensApi, { lensId, historyOffset }: { lensId: string | undefined; historyOffset: number }) { const options = { queryKey: lensKeys.history(api.scope, lensId, historyOffset), enabled: !!lensId, queryFn: () => api.runs(lensId as string, historyOffset), - refetchInterval: demo ? (false as const) : 10000, + refetchInterval: 10000, }; return queryOptions(options); }, diff --git a/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.test.ts b/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.test.ts index 8ddf632e015..61879a10365 100644 --- a/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.test.ts +++ b/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.test.ts @@ -55,7 +55,7 @@ describe("Lens demo data", () => { it("filters time windows locally and rejects writes or unknown reads without network access", async () => { const network = vi.spyOn(globalThis, "fetch"); const now = Date.now(); - const { services } = createLensDemo(now); + const services = createLensDemo(now); const all = await services.traces.list({ startMs: 0, endMs: now }); const recent = await services.traces.list({ startMs: now - 3600_000, endMs: now }); expect(recent.data.length).toBeGreaterThan(0); diff --git a/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.ts b/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.ts index bc75214127d..b5071aaa9fe 100644 --- a/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.ts +++ b/ui/litellm-dashboard/src/components/lens/demo/createLensDemo.ts @@ -1,6 +1,5 @@ import { ApiError } from "@/lib/http/client"; import type { TracesApi } from "@/components/view_logs/TraceView/tracesApi"; -import type { LensDemo } from "../LensDemoContext"; import type { LensServices } from "../services"; import type { LensApi } from "../api/service"; import type { Trace, Span, SpanDetail } from "@/components/view_logs/TraceView/traceTypes"; @@ -375,6 +374,12 @@ function demoLensApi(data: LensDemoData): LensApi { function demoTracesApi(data: LensDemoData): TracesApi { const run = (traceId: string) => data.runs.find(({ trace }) => trace.summary.trace_id === traceId); return { + live: false, + handoff: (traceId, spanId) => { + const found = run(traceId); + const step = spanId ? found?.details.find((span) => span.span_id === spanId) : found; + return { text: JSON.stringify(step, null, 2), copied: spanId ? "Step copied" : "Trace copied" }; + }, list: async ({ startMs, endMs }) => ({ data: data.runs .map((item) => item.trace.summary) @@ -398,17 +403,7 @@ function demoTracesApi(data: LensDemoData): TracesApi { }; } -export interface LensDemoSession extends LensDemo { - readonly services: LensServices; -} - -export function createLensDemo(now = Date.now()): LensDemoSession { +export function createLensDemo(now = Date.now()): LensServices { const data = createLensDemoData(now); - return { - services: { lens: demoLensApi(data), traces: demoTracesApi(data) }, - copyTrace: (traceId, spanId) => { - const run = data.runs.find(({ trace }) => trace.summary.trace_id === traceId); - return JSON.stringify(spanId ? run?.details.find((span) => span.span_id === spanId) : run, null, 2); - }, - }; + return { lens: demoLensApi(data), traces: demoTracesApi(data) }; } diff --git a/ui/litellm-dashboard/src/components/lens/investigations/FindingsInbox.tsx b/ui/litellm-dashboard/src/components/lens/investigations/FindingsInbox.tsx deleted file mode 100644 index f2b68615eed..00000000000 --- a/ui/litellm-dashboard/src/components/lens/investigations/FindingsInbox.tsx +++ /dev/null @@ -1,147 +0,0 @@ -"use client"; - -import { ChevronRight } from "lucide-react"; -import { useState } from "react"; - -import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select"; -import { useNow } from "@/hooks/useNow"; -import { formatActivityTimestamp } from "@/utils/activityTimestamp"; -import { agoLabel } from "@/components/view_logs/TraceView/lensField"; -import { cn } from "@/lib/cva.config"; - -import { ALL_AGENTS, filterInbox, inboxAgents, inboxRows, type InboxRow, type Priority } from "../model/inbox"; -import type { Lens } from "../model/types"; - -const PRIORITY_DOT = { high: "bg-[#e5484d]", medium: "bg-amber-500", low: "bg-muted-foreground/50" } as const; -const PRIORITY_ITEMS: { value: Priority | "all"; label: string }[] = [ - { value: "all", label: "All priorities" }, - { value: "high", label: "High" }, - { value: "medium", label: "Medium" }, - { value: "low", label: "Low" }, -]; - -const TH = "px-3 font-medium"; -const TH_NUM = "px-3 text-right font-medium"; - -function FilterSelect({ - label, - value, - items, - onChange, - width, -}: { - label: string; - value: T; - items: { value: T; label: string }[]; - onChange: (value: T) => void; - width: string; -}) { - return ( - - ); -} - -export function FindingsInbox({ lenses, onOpen }: { lenses: readonly Lens[]; onOpen: (row: InboxRow) => void }) { - const [agent, setAgent] = useState(ALL_AGENTS); - const [priority, setPriority] = useState("all"); - const now = useNow(30000); - const all = inboxRows(lenses); - const rows = filterInbox(all, { agent, priority }); - const agentItems = [ - { value: ALL_AGENTS, label: "All agents" }, - ...inboxAgents(all).map((a) => ({ value: a, label: a })), - ]; - return ( -
-
- - -
-
- - - - - - - - - - - - {rows.map((row) => ( - onOpen(row)} - data-testid="inbox-row" - aria-label={row.title} - className="h-9 cursor-pointer border-b border-border/60 text-[12px] transition-colors duration-150 hover:bg-trace-row-hover motion-reduce:transition-none" - > - - - - - - - - ))} - -
PriorityFindingAgentRunsLast seen -
- - - {row.priority} - - - {row.title} - - {row.agents.join(", ")} - {row.runs} - {agoLabel(Date.parse(row.lastSeen), now)} - - -
- {rows.length === 0 && ( -
- {all.length === 0 - ? "No open findings yet. New problems show up here as soon as an investigation spots them." - : "No findings match these filters."} -
- )} -
-
- {rows.length} {rows.length === 1 ? "finding" : "findings"} - {rows.length !== all.length && ` of ${all.length}`} -
-
- ); -} diff --git a/ui/litellm-dashboard/src/components/lens/investigations/InvestigationList.tsx b/ui/litellm-dashboard/src/components/lens/investigations/InvestigationList.tsx index 1ee82bd5c81..6f400bd638d 100644 --- a/ui/litellm-dashboard/src/components/lens/investigations/InvestigationList.tsx +++ b/ui/litellm-dashboard/src/components/lens/investigations/InvestigationList.tsx @@ -1,7 +1,18 @@ "use client"; -import { Pencil, Play, Search } from "lucide-react"; -import { useState } from "react"; +import { Fragment, useState, type ReactNode } from "react"; +import { + ChevronRight, + Circle, + CircleCheck, + CircleDashed, + CircleDot, + CircleSlash, + CircleX, + Pencil, + Play, + Search, +} from "lucide-react"; import { useNow } from "@/hooks/useNow"; import { Input } from "@/components/ui/input"; @@ -9,13 +20,37 @@ import { formatActivityTimestamp } from "@/utils/activityTimestamp"; import { cn } from "@/lib/cva.config"; import { agoLabel } from "@/components/view_logs/TraceView/lensField"; -import { scheduleLabel } from "../model/inbox"; +import { findingAgents, openFindings, scheduleLabel } from "../model/inbox"; import { lensStatus } from "../model/status"; import { scopeLabel } from "../model/format"; -import { type Lens } from "../model/types"; +import { type Finding, type Lens } from "../model/types"; +import { useListSearchRoute } from "../route"; -const TH = "px-3 font-medium"; -const TH_NUM = "px-3 text-right font-medium"; +const PRIORITY_COLOR = { high: "text-[#e5484d]", medium: "text-amber-500", low: "text-muted-foreground" } as const; +const ROW = + "border-b border-border/60 transition-colors duration-150 hover:bg-trace-row-hover motion-reduce:transition-none"; +const META = "truncate text-[11px] text-muted-foreground"; + +function JobIcon({ lens }: { lens: Lens }) { + const status = lens.jobs[0]?.status; + const className = "size-4 shrink-0"; + if (status === "queued" || status === "running") + return