generated from coulomb/repo-seed
Pass --output-format json with --json-schema and unwrap CLI envelope
The Claude Code adapter previously passed --json-schema alone. On Claude
CLI 2.1.160 that combination still emits the model's conversational
preamble on stdout while the schema-enforced structured payload ships on
a sidecar channel the adapter cannot read. Result: callers requesting
structured output got prose that fails JSON parsing downstream — exactly
the failure mode the activity-core CUST-WP-0045 daily triage canary hit
on 2026-06-01 ("Triage report generated and returned via structured
output. Key signals:..." → json.loads error at column 1).
Fix: when --json-schema is set, also pass --output-format json. The CLI
then writes a JSON envelope on stdout. The adapter unwraps it by
probing a small allowlist of known text-bearing fields (result,
result_text, content, text, output). Unknown envelope shapes fall
through to raw stdout so the operator can introspect the structure and
extend the allowlist.
The unwrap path is only triggered when --json-schema was set, so non-
schema callers keep the existing raw-stdout behavior.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
@@ -2,12 +2,12 @@
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Claude Code CLI adapter — runs the ``claude`` CLI as a subprocess.
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"""
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import asyncio
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import json
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import os
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import subprocess
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from pathlib import Path
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from typing import Optional
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import asyncio
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import json
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import os
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import subprocess
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from pathlib import Path
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from typing import Optional
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from llm_connect.adapter import LLMAdapter
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from llm_connect.models import RunConfig, LLMResponse
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@@ -26,23 +26,23 @@ class ClaudeCodeAdapter(LLMAdapter):
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length limits (compiled prompts can exceed 30 KB).
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"""
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def __init__(
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self,
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cli_path: Optional[str] = None,
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model: Optional[str] = None,
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config: Optional[LLMConfig] = None,
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):
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self._config = config or LLMConfig(provider="claude-code")
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self._cli_path = cli_path or self._resolve_cli_path()
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self._model = model
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def __init__(
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self,
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cli_path: Optional[str] = None,
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model: Optional[str] = None,
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config: Optional[LLMConfig] = None,
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):
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self._config = config or LLMConfig(provider="claude-code")
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self._cli_path = cli_path or self._resolve_cli_path()
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self._model = model
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# ── LLMAdapter interface ────────────────────────────────────────
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def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
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self._preflight_budget(config)
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cmd = self._build_command(config)
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timeout = config.timeout_seconds or self._config.timeout_seconds
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def execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
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self._preflight_budget(config)
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cmd = self._build_command(config)
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timeout = config.timeout_seconds or self._config.timeout_seconds
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try:
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result = subprocess.run(
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@@ -65,7 +65,7 @@ class ClaudeCodeAdapter(LLMAdapter):
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stderr=result.stderr,
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)
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content = result.stdout
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content = _unwrap_cli_json_envelope(result.stdout, config)
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prompt_tokens = estimate_tokens(prompt)
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completion_tokens = estimate_tokens(content)
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@@ -86,10 +86,10 @@ class ClaudeCodeAdapter(LLMAdapter):
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self._consume_budget(config, response)
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return response
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async def async_execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
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"""Native async implementation using asyncio.create_subprocess_exec."""
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self._preflight_budget(config)
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cmd = self._build_command(config)
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async def async_execute_prompt(self, prompt: str, config: RunConfig) -> LLMResponse:
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"""Native async implementation using asyncio.create_subprocess_exec."""
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self._preflight_budget(config)
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cmd = self._build_command(config)
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timeout = config.timeout_seconds or self._config.timeout_seconds
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@@ -117,7 +117,7 @@ class ClaudeCodeAdapter(LLMAdapter):
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stderr=stderr_bytes.decode(),
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)
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content = stdout_bytes.decode()
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content = _unwrap_cli_json_envelope(stdout_bytes.decode(), config)
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prompt_tokens = estimate_tokens(prompt)
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completion_tokens = estimate_tokens(content)
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@@ -139,49 +139,92 @@ class ClaudeCodeAdapter(LLMAdapter):
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self._consume_budget(config, response)
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return response
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def validate_config(self, config: RunConfig) -> bool:
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try:
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result = subprocess.run(
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[self._cli_path, "--version"],
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def validate_config(self, config: RunConfig) -> bool:
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try:
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result = subprocess.run(
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[self._cli_path, "--version"],
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capture_output=True,
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text=True,
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timeout=10,
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)
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return result.returncode == 0
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except (subprocess.TimeoutExpired, FileNotFoundError, OSError):
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return False
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def _build_command(self, config: RunConfig) -> list[str]:
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cmd = [self._cli_path, "--print"]
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if self._model:
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cmd.extend(["--model", self._model])
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json_schema = _json_schema_arg(config)
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if json_schema:
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cmd.extend(["--json-schema", json_schema])
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return cmd
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def _resolve_cli_path(self) -> str:
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configured = (
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os.environ.get("LLM_CONNECT_CLAUDE_CLI_PATH")
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or os.environ.get("CLAUDE_CLI_PATH")
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or self._config.claude_cli_path
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)
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if configured and configured != "claude":
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return configured
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local_cli = Path.home() / ".local" / "bin" / "claude"
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if local_cli.exists():
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return str(local_cli)
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return configured or "claude"
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def _json_schema_arg(config: RunConfig) -> str | None:
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schema = (config.model_params or {}).get("json_schema")
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if not schema:
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return None
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if isinstance(schema, str):
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return schema
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if isinstance(schema, dict):
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return json.dumps(schema, separators=(",", ":"))
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return None
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except (subprocess.TimeoutExpired, FileNotFoundError, OSError):
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return False
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def _build_command(self, config: RunConfig) -> list[str]:
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cmd = [self._cli_path, "--print"]
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if self._model:
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cmd.extend(["--model", self._model])
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json_schema = _json_schema_arg(config)
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if json_schema:
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cmd.extend(["--json-schema", json_schema])
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# With --json-schema alone the CLI prints conversational text on
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# stdout while the structured payload ships on a sidecar channel
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# callers cannot reach. --output-format json forces the structured
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# response (wrapped in an envelope) onto stdout.
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cmd.extend(["--output-format", "json"])
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return cmd
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def _resolve_cli_path(self) -> str:
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configured = (
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os.environ.get("LLM_CONNECT_CLAUDE_CLI_PATH")
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or os.environ.get("CLAUDE_CLI_PATH")
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or self._config.claude_cli_path
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)
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if configured and configured != "claude":
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return configured
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local_cli = Path.home() / ".local" / "bin" / "claude"
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if local_cli.exists():
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return str(local_cli)
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return configured or "claude"
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def _json_schema_arg(config: RunConfig) -> str | None:
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schema = (config.model_params or {}).get("json_schema")
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if not schema:
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return None
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if isinstance(schema, str):
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return schema
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if isinstance(schema, dict):
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return json.dumps(schema, separators=(",", ":"))
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return None
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# Field names Claude Code's `--output-format json` envelope is known to use
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# for the model's primary textual response. Probed in order; the first match
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# wins. If none match (because the envelope shape is something we haven't
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# seen), we return the raw envelope string so the caller still gets the data
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# and can introspect it.
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_ENVELOPE_TEXT_FIELDS = ("result", "result_text", "content", "text", "output")
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def _unwrap_cli_json_envelope(stdout: str, config: RunConfig) -> str:
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"""Extract the model's payload from Claude CLI's --output-format json envelope.
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Only attempts unwrap when --json-schema was set, because that's the only
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code path that adds --output-format json to the CLI invocation. Other
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paths keep raw stdout (current behavior preserved).
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"""
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if not _json_schema_arg(config):
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return stdout
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text = stdout.strip()
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if not text:
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return stdout
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try:
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envelope = json.loads(text)
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except json.JSONDecodeError:
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return stdout
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if not isinstance(envelope, dict):
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return stdout
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for key in _ENVELOPE_TEXT_FIELDS:
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if key in envelope:
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value = envelope[key]
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if isinstance(value, str):
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return value
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if isinstance(value, (dict, list)):
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return json.dumps(value)
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# Unknown envelope shape — surface it raw so the operator can see it
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# in the validation error and we can update _ENVELOPE_TEXT_FIELDS.
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return stdout
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