- Fix GLM47 test_streaming_no_tool_calls to match current strip_think_tags
  behavior (strips leading whitespace from content deltas)
- Add multi-step streaming tests for seed_oss and qwen3coder that verify
  header + { + params + } are all emitted across multiple calls
- Add note that run_all_models.sh paths are machine-specific

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

- Fix GLM47 streaming: strip_think_tags was eating inter-word spaces on
  normal content deltas; now only strips when </think> is actually present
- Add multi-step streaming tests for seed_oss and qwen3coder that verify
  complete tool call emission (header + { + params + }) with fine-grained
  deltas matching realistic token boundaries
- Add note that run_all_models.sh paths are machine-specific

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Streaming completeness (seed_oss + qwen3coder):
- When the function body is already complete at header-detection time,
  emit the full tool call (name + arguments) in one chunk instead of
  header-only.  Prevents truncated output when coarse deltas or
  max_tokens leave no further parser calls.
- When tool_call_start is detected, fall through to header parsing
  instead of returning None — the header may already be available.

GLM47 streaming:
- Only call strip_think_tags when </think> is actually present in the
  delta, preventing inter-word spaces from being eaten on normal content.

Tests:
- Add coarse-delta streaming tests that verify complete arguments are
  emitted even with a single large chunk (seed_oss + qwen3coder).
- Fix GLM47 streaming test to expect preserved whitespace.

Other:
- Remove misleading MODEL_DIR env var reference from run_all_models.sh.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

The GPT-OSS chat template generates tool calls as:
  <|start|>assistant to=functions.NAME<|channel|>commentary json<|message|>ARGS<|call|>

But the harmony regex expected:
  <|channel|>commentary to=functions.NAME <|message|>ARGS<|call|>

The to=functions.NAME comes before <|channel|>commentary in reality,
not after. This mismatch caused 17% tool calling score.

Fix: support both formats (real + legacy test format) via alternation.
Also accept <|end|> as final channel terminator alongside <|return|>.
Revert GPT-OSS eval config from seed_oss back to harmony.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

- Set HarmonyToolParser.SUPPORTS_NATIVE_TOOL_FORMAT = True so multi-turn
  tool history uses native harmony tokens instead of plain text conversion
  ("[Calling tool: ...]"), which broke GPT-OSS tool flow understanding.

- Extend load_model_with_fallback to catch "Missing N parameters" errors
  (not just "parameters not in model") for VLM-packaged models like
  Qwen3.5-9B and Mistral-Small-3.2 that need strict=False.

- Update harmony and native format tests accordingly.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

- Add explicit parentheses in tokenizer.py fallback condition to clarify
  `or`/`and` precedence (behavior was correct but ambiguous to read).

- Fix _convert_param_value() in seed_oss and qwen3coder parsers: when
  schema says "number"/"float", always return float instead of silently
  coercing 3.0 → int(3). Removes lossy `fv - int(fv) != 0` check.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>