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Test Log - 01_getting_started

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Test Log - 01_getting_started

Tested 2026-07-24 against gpt-5.5 (OpenAIResponses), agno 2.8.1 (source tree, branch feat/agent-fs at 7df2fad3a). Re-run fresh at the final sweep (same date): every file in this folder PASS. Entries quote tool calls and printed state. Model prose varies run to run and is paraphrased rather than quoted.

Re-run 2026-07-25 — instructions composed explicitly

fs.tools() no longer adds its instructions to the system prompt; every agent in this folder now passes fs.instructions() in its own instructions list. Re-tested against gpt-5.5 (OpenAIResponses), agno 2.8.2 source tree, branch fix/filesystem-explicit-instructions.

basic.py — PASS. Run 1 (empty store) called append_file(path=notes/decisions.md, content=2026-07-25: Use SQLite for local development and Postgres in production., unique=True). Run 2, a separate process, called list_files(directory=., pattern=, recursive=True, max_depth=3) then read_file(path=notes/decisions.md, start_line=1, end_line=20) and answered SQLite. The composed block reaches the prompt as one bullet with its Conventions nested under it, and unique=True shows the record-log convention still landing.


basic.py

Status: PASS

Description: Durability across processes: two separate invocations of the same file share one SQLite store; run 1 records a decision, run 2 detects the populated store and recalls it.

Result: After deleting tmp/filesystem/getting_started.db, run 1 printed "run 1 of 2: the store is empty, so ask the agent to record a decision" and called append_file(path=notes/decisions.md, content=2026-07-24: Use SQLite for local development and Postgres in production.). Run 2, a separate process, printed "run 2 of 2: the store is populated, so ask the agent to recall", called list_files(directory=., pattern=, recursive=True, max_depth=3) then read_file(path=notes/decisions.md, start_line=1, end_line=20), and answered SQLite. The run-2 prompt states no answer, so the recall came from the file. Notable: an earlier draft asked the agent to store a user preference and gpt-5.5 refused, citing its instructions that user facts belong in memory, not its private filesystem, which is the D8 instruction boundary enforcing itself.


standalone.py

Status: PASS

Description: The programmatic API with no Agent import and no API keys: write, read, append, exact-line membership via contains(), list, usage.

Result: Config read back verbatim ("focus: AI infrastructure / audience: engineers"). First membership check returned {'found': ['https://example.com/a'], 'missing': ['https://example.com/c']}; after appending the missing record the second check returned {'found': ['https://example.com/c'], 'missing': []}. Final listing ['notes/config.md', 'seen/2026-07-24.md'], usage {'files': 2, 'bytes': 111}.


local_backend.py

Status: PASS

Description: Same agent code over LocalFileSystem instead of a database; prints the real on-disk tree afterwards.

Result: The agent called write_file(path=notes/summary.md, content=Summarized the onboarding doc; the migration timeline is the key risk to flag, overwrite=True) and append_file(path=seen/2026-07-24.md, content=https://example.com/a). On-disk tree printed under tmp/agent_fs_local_<uuid>: default/notes/summary.md and default/seen/2026-07-24.md. The default/ prefix is the default namespace, since this file names none. Both files land at mode 0600; before the append-path fix in libs/agno/agno/fs/local.py the appended file was 0644.