TEST_LOG

Tests were run against the Cloudflare AI Gateway OpenAI-compatible /compat endpoint with CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID. Several Workers AI models were tried per example; the cookbooks ship with the best price-to-performance choice for each task.

basic.py

Status: PASS

Description: Runs the default Workers AI chat model (@cf/meta/llama-3.3-70b-instruct-fp8-fast) through sync, sync+streaming, async, and async+streaming.

Result: All four invocation modes return a 2-sentence horror story. No errors.

switch_model.py

Status: PASS

Description: Demonstrates the @cf/... catalog-binding normalization, the Cloudflare(id=...) constructor form, the "cloudflare:..." model-string shorthand, and a second Workers AI model.

Result: Both the default model and the alternate (@cf/google/gemma-4-26b-a4b-it) respond. The string-shorthand path normalizes correctly to workers-ai/@cf/....

tool_use.py

Status: PASS

Description: Web search via WebSearchTools. Tested several function-calling-capable Workers AI models.

Result: Settled on @cf/zai-org/glm-4.7-flash — clean tool-call cycle and a usable answer. Some other function-calling models (notably the larger MoE variants) either looped on the tool call or returned an empty assistant turn after the tool result; GLM 4.7 Flash hit the right cost/reliability balance.

structured_output.py

Status: PASS

Description: Pydantic-shaped output (MovieScript, six fields including a list) via use_json_mode=True and via native structured outputs (no json mode).

Result: Settled on @cf/google/gemma-4-26b-a4b-it — reliable in both modes (json mode and native structured outputs). Workers AI does not enforce strict response_format/json_schema server-side, so model capability matters more than the flag. Other function-calling-capable models behaved unevenly: granite-4.0-h-micro worked in json mode but not native; gpt-oss-20b worked native but not json; gpt-oss-120b, llama-4-scout-17b-16e-instruct, and llama-3.3-70b-instruct-fp8-fast failed both. Gemma 4 was the price-to-performance winner that handled both code paths cleanly.